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Adrian Sandu – Resume 1
Adrian Sandu
Associate Professor
Department of Computer Science
Virginia Polytechnic Institute and State University
Blacksburg, VA 24060
Office: 224 KnowledgeWorks II
E-Mail: sandu@cs.vt.edu
Phone: (540)-231-2193
Fax: (540)-231-9218
Homepage: http://www.cs.vt.edu/~asandu
Education
Postdoc Courant Institute, NYU Computational Biology 1997-98
Ph.D. University of Iowa Applied Mathematical and
Computational Sciences 1997
M.S. University of Iowa Computer Science 1997
B.S./M.S. Polytechnic Institute Bucharest Electrical Engineering 1990
Research Interests
Scientific Computing, Parallel Computing, Mathematical Software Development,
Numerical Methods for Stiff ODE, DAE, Conservation Laws,
Advection-Diffusion-Reaction Equations, Sparse Linear Algebra,
Sensitivity Analysis, Data Assimilation, Automatic Differentiation,
Air Quality Modeling, Computational Biology.
Appointments
Associate Prof. Computer Science Virginia Polytechnic Institute 2003 to day
Assistant Prof. Computer Science Michigan Technological University 1998-2003
Postdoctoral Research Associate Courant Institute, NYU 1997-98
Teaching and Research Assistant The University of Iowa 1992-97
Instructor Polytechnic Institute Bucharest 1991-92
Research Engineer ICI Bucharest 1990-91
Personal
Married to Corina Sandu; two daughters: Andreea and Monica.
2 Adrian Sandu – Resume
Professional Service
National and International
– Editorial Board, Applied Numerical Mathematics, since 2006. APNUM is a high quality
international journal focused on computational mathematics. (http://www.elsevier.
com/wps/find/journaldescription.cws_home/505602/description)
– Topical Editor, Geoscientific Model Development, since 2007. GMD is an interna-
tional scientific journal dedicated to the description, development, and benchmark-
ing of numerical models of the Earth system and its components. (http://www.
geoscientific-model-development.net)
– Editorial Board, International Journal of Computer Mathematics, since 2010. IJCM
(Section B) publishes original work in the fields of numerical analysis, mathemati-
cal software, and applied mathematics. (http://www.tandf.co.uk/journals/titles/
00207160.asp)
– Member, NSF TeraGrid Resource Allocations Committee, since 2008. TeraGrid is the
world’s largest, most comprehensive distributed cyberinfrastructure for open scientific
research. (http://www.teragrid.org)
– Co-chair of “Large and Heterogeneous Data” work group and co-author of the report for
the “Dynamic Data-Driven Applications Systems (DDDAS) - InfoSymbiotic Systems”
workshop Arlington, Virginia, August 30-31, 2010.
Department
– Computer Science Department Promotion and Tenure Committee, 2009
– Chair of Computer Science Graduate Admissions Committee, 2006–2009
– Computer Science Department Graduate Admissions Committee, 2005
– HPC Qualifier Committee Chair, Computer Science Department, 2004–2005; 2009
Conferences
Leadership positions involving the management of paper submission, review, and acceptance:
– General chair, High Performance Computing Symposium (HPC 2010), Orlando, Florida, April
2010
– Program chair, High Performance Computing and Simulation Symposium (HPCS 2009), San
Diego, California, April 2009
Adrian Sandu – Resume 3
– Organizer and chair of the Workshop on Atmospheric and Oceanic Computational Science,
International Conference on Computational Science (ICCS 2009), Baton Rouge, Louisiana,
April 2009 (with A. St-Cyr and K. Evans)
– Organizer and chair of the Computational Sciences Track, ACM SAC’09, Hawaii, March 2009
(with Y. Cao)
– Program vice-chair, High Performance Computing and Simulation Symposium (HPCS 2008),
Ottawa, Ontario, Canada, April 2008
– Organizer and chair of the workshop “Computational Methods for Advancing Atmospheric
and Oceanic Sciences”, International Conference for Computational Science ICCS-2005, At-
lanta, GA, May 2005
– Organizer and chair of the Computational Sciences Track, ACM SAC’04, Nicosia, Cyprus,
March 2004
– Organizer and Chair of the Computational Sciences Track, ACM SAC’03, Melbourne, Florida,
March 2003
Leadership positions not involving paper management:
– Co-organizer and co-chair of the Practical Scientific Computing with High-order Methods
(three parts) minisymposium MS116 at the SIAM Conference on Computational science and
Engineering, abstract p. 192, Reno, Nevada, March 1–4, 2011
– Co-organizer and chair of the Innovative Time Integration Methods minisymposium at the
SIAM Conference on Computational Science and Engineering, Miami, Florida, March 2009
– Co-organizer and chair of the New Developments in Atmospheric and Ocean Data Assimi-
lation minisymposium at the SIAM Conference on Computational Science and Engineering,
Miami, Florida, March 2009
– Co-organizer and chair of the Parallel Computing in Atmospheric and Ocean Modeling min-
isymposium at the SIAM Conference on Parallel Processing, Atlanta, Georgia, March 2008.
– Co-organizer and chair of the Data Assimilation minisymposium at the SIAM Computational
Science and Engineering, Costa Mesa, CA, February 18–22, 2007
Other:
– Session chair, High Performance Computing and Simulation Symposium (HPCS 2008), Ot-
tawa, Ontario, Canada, April 2008
– Session Chair, High Performance Computing Symposium HPC-2007 Norfolk, VA, March 26-
28, 2007
– Session Chair, CP04, SIAM PP04, San Francisco, February 2004
– Session Chair, CP16 and CP29, SIAM CSE03, San Diego, February 2003
4 Adrian Sandu – Resume
– Member of the Scientific Committee, 2nd International Conference on Air Pollution Modeling
and Simulation APMS 2001, April 9-13 2001, Paris
Proposal reviews (and/or panel membership) for research funding agencies
– National Science Foundation, U.S.
– Environmental Protection Agency, U.S. (2003)
– Engineering and Physical Sciences Research Council, U.K. (2004–2005)
– Natural Environment Research Council, U.K. (2007)
– Austrian Science Foundation, Austria (2007)
– Midwestern Association of Graduate Schools, U.S. (2000)
– Global Climate and Energy Project (GCEP), Stanford University, U.S. (2005)
Adrian Sandu – Resume 5
Reviews for international scientific journals
– AIAA Journal
– Aerosol Science and Technology
– Applied Numerical Mathematics
– Atmospheric Environment
– Computational Geosciences
– Computer Methods in Applied Mechanics and Engineering
– Computing
– Environmental Modeling and Software
– Future Generation Computer Systems
– IEE Proc. Systems Biology
– International Journal of Computational Fluid Dynamics
– International Journal for Numerical Methods in Engineering
– Journal of Aircraft
– Journal of Computational Physics
– Journal of Environmental Management
– Journal of Geophysical Research
– Journal of Scientific Computing
– Journal of Terramechanics
– Mathematics and Computers in Simulation
– Ocean Modeling
– Optimization and Engineering
– SIAM Journal on Scientific Computing
6 Adrian Sandu – Resume
Synergistic Activities
– Co-authored the chemical preprocessing and solution software KPP, currently used in
academic and research institutions and in ndustry in many countries;
– Developed a new Ph.D. level course Numerical Air Quality Modeling, taught for the first
time at MTU in Spring 2000;
– Developed (in cooperation) a new senior and graduate level course Bioinformatics and
Biomolecular Modeling, taught for the first time at MTU in Spring 2000.
Honors
Faculty Fellow, Advanced Study Program, National Center for Atmospheric
Research
2010
AVTT Best paper award, DETC2009-86402, ASME IDETC 2009, San Diego 2009
Virginia Tech College of Engineering Fellow 2009
2003 Professional Engineers Publishing Award from the Editorial Board of
the Journal of Multi-body Dynamics
2005
NSF CAREER award 2001
AMCS Nomination for Spriesterbacher Ph.D. Dissertation Prize, University
of Iowa
1998
AMCS Summer Merit Fellowships, University of Iowa 1993-94
Merit Fellowships (for students in top 0.5% at Polytechnic Institute
Bucharest)
1988-90
Special Prize, National Computer Programming Contest, Cluj, Romania 1988
Special Prize, National Electrotechnics Contest, Bucharest, Romania 1987
Special Prize, Polytechnic Institute Bucharest Mathematics Contest,
Bucharest
1987
Third prize, National Mechanics Contest, Iasi, Romania 1986
Programming Skills
C/C++, Fortran77/90/95, Pascal, MPI, Matlab, Mathematica, Prolog, HTML.
Mathematical software (Lapack, Harwell, SuperLU, Y12, ODE solvers, etc).
Languages
English, Romanian, Russian (reading), French (reading).
Adrian Sandu – Resume 7
Short Term Professional Visits
National Center for Atmospheric Research 01–06/2010
Technical University Darmstadt 06/2004
Center for Mathematics and Computer Science (CWI), Amsterdam 09/1996
DIMA, Institut Francais du Petrole, Paris 10/1996
Center for Mathematics and Computer Science (CWI), Amsterdam 09/1995
8 Adrian Sandu – Resume
Teaching
Virginia Polytechnic Institute (Assoc. Prof.):
CS–3414 Numerical Methods Spr 2005, Spr 2006 (twice),
Fall 2006, Spr 2008
CS–4104 Data and Algorithm Analysis Spr 2008
CS–4234 Parallel Computation Fall 2005, Fall 2007, Fall
2009
CS/MATH–4414 Issues in Scientific Computing Spr 2007
CS–5045 Computation for the Life Sciences Fall 2003
CS/MATH–5485 Numerical Analysis and Software Fall 2004, Fall 2005, Fall
2006
CS–5984 Foundations of Scientific Computing Spr 2004, Spr 2005
CS–6404 Data Assimilation Spr 2007
CS–6404 Inverse Modeling Spr 2008, Spr 2009
Michigan Technological University (Asst. Prof.):
Undergraduate courses: CS220–Introd. Numerical Methods with Fortran (developed
complete set of course notes), CS311–Introd. Theoretical Computer Science, CS490–
Bioinformatics and Biomolecular Modeling (taught first time ever at MTU in Spr. 2000);
CS4321–Introd. to Algorithms; CS490–Introd. to Parallel Computing;
Graduate courses: CS5331–Parallel Algorithms; CS5911–Numerical Linear Algebra; CS5911–
Iterative Methods; CSE690–Topics in Computational Science, CSE690–Atmospheric Mod-
eling (taught first time ever at MTU in Spr. 2000),
University of Iowa (TA): Quantitative Methods, Trigonometry;
Polytechnic Institute Bucharest (instructor): Numerical Methods in Electrical
Engineering, Programming with Pascal, Control Systems.
Adrian Sandu – Resume 9
Advising
Postdoctoral/Associate Researchers Advised
Liao, Wenyuan 2003–2005 Position: Assistant Professor of Mathematics,
University of Calgary
Jardak, Mohamed 2008–2009 Position: Researcher, Center for Ocean and
Atmosphere Science, Florida State University
Undergraduate Students Advised
NSF REU (KPP numerical integration in C), Summer 2006: Eller, Paul; Jiang, Tingting;
Hobbs, Nicholas; Jacob, Don.
NSF REU (VT-TUD collaboration), Summer 2007: John Robinson (from SUNY Buffalo).
NSF REU (VT-TUD collaboration), Summer 2008: Hannes Daepp (from Vanderbilt).
Graduate Students Currently Advised
Ahn, Tae-Hyuk “Computational Methods for Biological
Simulations”
Ph.D. exp. 2011
Cioaca, Alexandru “The Impact of Observations in Large
Scale Inverse Modeling”
Ph.D. exp. 2013
Lepsa, Bianca “General Linear Methods” Leave of absence
Hong, Zhang “Adaptive Discretization Methods for a
new Generation of Earth Science Models”
Ph.D. exp. 2014
Rao, Vishwas “Advanced Time Stepping Methods” Ph.D. exp. 2016
Hays, Joe “Motion Planning for Uncertain Mechani-
cal Systems”
Ph.D. exp. 2011
10 Adrian Sandu – Resume
Graduated Ph.D. Students
6. Alexe, Mihai “Adjoint-based space-time adaptive solution
algorithms for sensitivity analysis and inverse
problems”
Ph.D. March 2011
(Position: Geophysical application engineer, Seismic process-
ing group, Shell Global Solutions International B.V., Rijswijk,
Nederland)
5. Singh, Kumaresh “Efficient Computational Tools for Varia-
tional Data Assimilation and Information
Content Estimation” (main advisor; co-
advisor W. Feng)
Ph.D. Aug. 2010
(Position: Analyst, Deutsche Bank, Carry, North Carolina
4. Linford, John “Accelerating Atmospheric Modeling Through
Emerging Multi-core Technologies”
Ph.D. May 2010
(Position: Real-time systems programmer, Northrop Grum-
man Electronic Systems, Baltimore, Maryland.)
3. Blanchard, Em-
manuel
Polynomial Chaos Approaches to Parameter
Estimation and Control Design for Mechani-
cal Systems with Uncertain Parameters (main
advisor; co-advisor C. Sandu)
Ph.D. May 2010
(Position: N/A)
2. Cheng, Haiyan “Uncertainty Quantification and Uncertainty
Reduction Techniques for Large Scale Simula-
tions”
Ph.D. July 2009
(Position: Assistant Professor of Computer Science,
Willamette University, Salem, Oregon.)
1. Constantinescu,
Emil Mihai
“Adaptive Numerical Methods for Large Scale
Simulations and Data Assimilation”
Ph.D. August 2008
(Position: Computer Scientist and 2008-2010 Wilkinson fel-
low, Mathematics and Computer Science division, Argonne
National Laboratory, Chicago, Illinois.)
Graduated M.S. Students
Adrian Sandu – Resume 11
Gou, Tianyi “Computational Tools for Chemical Data As-
similation with CMAQ”
M.S. Jan. 2010
(Position: Computer Scientist, Qualcomm,
La Jolla, California)
Eller, Paul “Development and Acceleration of Parallel
Chemical Transport Models”
M.S. Aug. 2009
(Position: Computer Scientist, Information
Technology Laboratory, U.S. Army, Missis-
sippi)
Zhang, Lin “Large-Scale Simulations Using First and
Second Order Adjoints with Applications in
Data Assimilation”
M.S. 2007
(Position: Computer Scientist, Microsoft,
Seattle, Washington)
Srivastava, Anurag “Stabilized Explicit Time Integration for Par-
allel Air Quality Models”
M.S. 2006
(Position: Analyst at J.P. Morgan)
Belwal, Chaitanya “High Resolution Air Quality Simulations” M.S. 2003
(Position: Computer Scientist, EPCON,
Houston, Texas)
Borden, Christian “Numerical Modeling of Aerosols” M.S. 2003
(Position: Model Developer, Signature Re-
search, Calumet, Michigan)
Sun, Guowei “Community Air Quality Models” M.S. 2003
Miehe, Philipp “Parallelization of Air Quality Models on
Structured Grids”
M.S. 2001
(Position: Analyst at Hannover Reinsurance
AG in Hannover, Germany)
Gopala, Kalpana “Analysis of the 1994 Pentium Bug” M.S. 2000
(Position: Computer Scientist, Guidant, Seat-
tle, Washington)
Peechu, Sampath “Parallel Implementation of 3D AQMs with
Minimal Communication Costs”
M.S. 1999
Other Graduate Students Advised
Liu, Zheng “Discrete Adjoints for Hyperbolic Systems” Grad. 2004-5
Miehe, Philipp “Chemical Data Assimilation” Grad. 2005-7
Dean, Ryan “Implicit Time-Stepping Methods for Flow
Simulations”
Grad. 2010
12 Adrian Sandu – Resume
Advisee Honors and Awards
– Linford, John: Outstanding Ph.D. dissertation award, Computer Science Department, Vir-
ginia Tech, 2010.
– Blanchard, Emmanuel: Mechanical Engineering outstanding Ph.D. student (nominated by
ME for CoE outstanding Ph.D. student award), 2010;
– Ahn, Ted: 2010 summer fellowship at Sandia National Laboratory.
– Alexe, Mihai: 2010 Givens summer fellowship at Argonne National Laboratory, Mathematics
and Computer Science Division.
– Cioaca, Alexandru: 2010 Givens summer fellowship at Argonne National Laboratory, Math-
ematics and Computer Science Division.
– Zhang, Hong: 2010 SIParCS summer fellowship at the Institute for Mathematics Applied to
Geosciences, National Center for Atmospheric Research.
– Dean, Ryan: 2010 SIParCS summer fellowship at the Institute for Mathematics Applied to
Geosciences, National Center for Atmospheric Research.
– Alexe, Mihai: 2009 Givens summer fellowship at Argonne National Laboratory, Mathematics
and Computer Science Division.
– Constantinescu, Emil Mihai: 2008–2010 Wilkinson fellowship at Argonne National Labora-
tory, Mathematics and Computer Science Division.
– Eller, Paul: 2008–2011 Science, Mathematics, and Research for Transformation (SMART)
Defense Scholarship. Sponsored by U.S. Department of Defense (DoD). Selected from 2,100
applications.
– Alexe, Mihai: Invited participant to the Rocky Mountain Mathematics Consorium Summer
school on parallel numerical methods for PDEs. Laramie, WY, July 2008.
– Linford, John: CESRI fellowship (summer 2007 travel to Juelich High Performance Comput-
ing Center), 2007.
– Linford, John: 2007–2010 National Defense Science and Engineering Graduate (NDSEG) fel-
lowship. Sponsored by U.S. Department of Defense (DoD). Selected from 3,400 applications.
– Linford, John: Third place at the VT GSA poster competition, April 2007.
– Cheng, Haiyan: Best speaker award, SIAM student VT chapter, April 2007.
– Cheng, Haiyan: Invited participant to the Summer graduate workshop on data assimilation
for the carbon cycle. San Diego, CA, July 2006. Boulder, CO, July 2007.
– Constantinescu, Emil Mihai: 2005 Givens summer fellowship, Argonne National Laboratory,
Mathematics and Computer Science Division.
Adrian Sandu – Resume 13
Research Funding
Current:
1. Title:“Stochastic Models of Cell Cycle Regulation in Eukaryotes”. Sponsor: NIGMS/NIH
5 ROI GM078989. PI: J.J. Tyson. Co-PIs: L.T. Watson, C. Shaffer, A. Sandu, M. Paul,
H. Dankowitz, Y. Cao. Total Funding: $1,290,419. Supplemental Funding, 2009:
$213,620. Supplemental CS Funding, 2010: $143,363 (total CS funding as of Oct 2010
is $519,624 for Watson, Sandu, Shaffer) Sandu’s Portion: $105,283 (7%) or $129,906 (0.25
of total CS funding). Period: 09/2006–08/2010, extended to 08/2011.
2. Title: “Collaborative Research: A Multiscale Unified Simulation Environment for Geo-
scientific Applications”. Sponsor: NSF OCI-0904397. PI: A. St-Cyr (NCAR). Co-PIs:
A. Sandu, D. Mavriplis (U. Wyoming). Total Funding: $1,000,000. Sandu’s Portion:
$238,996. Period: 04/2009–03/2013.
3. Title: “CIF: General Linear Time-stepping Methods for Large Scale Simulations”. Spon-
sor: NSF CCF-0916493. PI: A. Sandu. Co-PIs: N/A. Total Funding: $312,314.
Sandu’s Portion: $312,314. Period: 08/2009-08/2012.
4. Title: “Collaborative Research: A Computational Framework for Assessing the Observation
Impact in Air Quality Forecasting”. Sponsor: NSF DMS–0915047. PI: A. Sandu. Co-PIs:
D. Daescu (Portland State). Total Funding: $633,018. Sandu’s Portion: $418,616.
Period: 08/2009–08/2014.
Pending:
• Title: “Small: AF: Multirate Time Integration Algorithms for Large Scale Evolutionary
PDE Models”. Sponsor: NSF CCF/AF. PI: A. Sandu. Co-PIs: N/A. Total Funding:
$412,016. Sandu’s Portion: 100%. Period: 08/2010-08/2013.
• Title: “Workshop on Optimization of Systems Governed by Differential Equations”. Spon-
sor: NSF 7115525. PI: A. Sandu. Co-PIs: N/A. Total Funding: $27,757. Sandu’s
Portion: 100%. Period: 2011.
Past:
1. Title:“Solution of Inverse Problems with Adaptive Models” Sponsor: NSF CCF–0635194.
PI: A. Sandu. Co-PIs: I.M. Navon (FSU). Total Funding: $350,000. Sandu’s Portion:
$186,143. Period: 01/2007–12/2009, extended to 2010.
14 Adrian Sandu – Resume
2. Title: “HokieSpeed: a Heterogeneous Supercomputer”. Sponsor: NSF. PI: W. Feng Se-
nior personnel: A. Sandu et al. Total Funding: $2,000,000. Sandu’s Portion: N/A.
Period: 2010–2012.
3. Title:“Development of a Sensor-web Operations Explorer” Sponsor: NASA ROSES-2005.
PI: M. Lee. Co-PIs: K. Bowman, A. Sandu, C.F. Miller. Total Funding: $500,000.
Sandu’s Portion: $211,000. Period: 08/2006–08/2009.
4. Title: “Multirate Time Integration Algorithms for Adaptive Simulations of PDEs”. Spon-
sor: NSF CCF–0515170. PI: A. Sandu. Co-PI(s): N/A. Total Funding: $180,000.
Sandu’s Portion: $180,000. Period: 08/2005–08/2008, extended to 08/2009.
5. Title:“Virginia Institute for Performance Engineering and Research – Part II”. Sponsor:
NASA. PI: M. Ahmadian. Co-PI(s): C. Sandu, P. Kachroo, A. Sandu, C. Holton. Total
Funding: $2,770,000. Sandu’s Portion: $138,500 (5%). Period: 04/2007–12/2009.
6. Title:“H98: Air Quality Modeling of TexAQS-II Episodes with Data Assimilation” Spon-
sor: HARC/TCEQ. PI: D. Byun (U. Houston). Co-PIs: A. Sandu, D. Cohan (Rice U.),
T. Ho (Lamar U.). Total Funding: $390,000. Sandu’s Portion: $62,000. Period:
04/2008–08/2009
7. Title:“MISER: A High-Performance, Power-Aware Cluster” Sponsor: NSF CNS–0709025.
PI:K. Cameron. Co-PIs: A. Sandu, D. Nikolopoulos. Total Funding: $450,000. Sandu’s
Portion: $150,000. Period: 07/2007–07/2008
8. Title:“Virginia Institute for Performance Engineering and Research – Part I”. Sponsor:
NASA. PI: M. Ahmadian. Co-PI(s): C. Sandu, P. Kachroo, A. Sandu, C. Holton. Total
Funding: $2,860,000. Sandu’s Portion: $143,000 (5%). Period: 09/2005–03/2007.
9. Title: “CAREER: Development of Computational Methods for the New Generation of Air
Quality Models”. Sponsor: NSF Faculty Early Career Development (CAREER) Award
ACI-0413872 (previously ACI-0093139). PI: A. Sandu. Co-PI(s): N/A. Total Funding:
$325,732 from NSF (plus $153,515 from MTU/VT cost share). Sandu’s Portion: $325,732
from NSF (plus $153,515 from MTU/VT cost share). Period: 08/2001–07/2006.
10. Title:“H59: Improving Air Pollution Emissions using Data Assimilation Techniques”. Spon-
sor: Houston Advanced Research Center (HARC). PI: A. Sandu. Co-PI(s): N/A. Total
Funding: $100,000. Sandu’s Portion: $100,000. Period: 01/2006–12/2006.
11. Title:“ITR AP&IM: Development of a General Computational Framework for the Optimal
Integration of Atmospheric CTMs and Measurements Using Adjoints”. Sponsor: NSF-
ITR AP&IM 0205198. PI: G.R. Carmichael. Co-PI(s): A. Sandu, J. Seinfeld, P. Hess, T.
Anderson, D. Daescu. Total Funding: $2,300,000. Sandu’s Portion: $451,711. Period:
08/2002–07/2007.
Adrian Sandu – Resume 15
12. Title:“REU Site: Automotive Technologies at the Technische Universitaet Darmstadt and
Virginia Tech”. Sponsor: NSF REU 0552832. PI: J.H. Bohn. Senior personnel: M.
Ahmadian, C. Sandu, A. Sandu, K. Thole, K. Davis, R. Anderl, D. Tatar, J. Ferris, and S.
Southward. Total Funding: $. Sandu’s Portion: N/A. Period: 08/2006–08/2007.
13. Title:“A Chemical Data Assimilation Test Bed for the Interpretation and Analysis of the
2004 NEAQS/ITCT Observations”. Sponsor: NOAA. PI: G.R. Carmichael. Co-PI(s):
A. Sandu. Total Funding: $250,000. Sandu’s Portion: $127,000. Period: 08/2005–
07/2007.
14. Title:“NSF-REU/CAREER: Development of Computational Methods for the New Genera-
tion of Air Quality Models”. Sponsor: NSF CCF–0530393. PI: A. Sandu. Co-PI(s): N/A.
Total Funding: $6,300. Sandu’s Portion: $6,300. Period: 2005–2006.
15. Title:“Modeling Air Pollution in East Texas”. Sponsor: Houston Advanced Research Cen-
ter (HARC). PI: D. Byun (U. Houston). Co-PI(s): A. Sandu. Total Funding: $500,000.
Sandu’s Portion: $30,000. Period: 01/2006–12/2006.
16. Title: “International Travel Supplement (to visit Technical University Darmstadt)”. Spon-
sor: Virginia Tech. PI: A. Sandu. Co-PI(s): N/A. Total Funding: $2,250. Sandu’s
Portion:$2,250. Period: June 2004.
17. Title: “NUE: Nano-integration- Exploring Nano-Science, Applications, and Implications
with Undergraduates at MTU”. Sponsor: NSF SES 0304439. PI: J.A. Jaszczak. Co-PI(s):
A. Sandu et al. Total Funding: $100,000. Sandu’s Portion: N/A. Period: 2003–2004.
18. Title: Faculty Scholarship Grant. Sponsor: Michigan Technological University, Fund
R00861, Index E29716. PI: A. Sandu. Co-PI(s): N/A. Total Funding: $900. Sandu’s
Portion:$900. Period: 2000.
19. Title: Faculty Scholarship Grant. Sponsor:Michigan Technological University, Fund R00817,
Index E29687. PI: A. Sandu. Co-PI(s): N/A. Total Funding: $1,750. Sandu’s Por-
tion:$1,750. Period: 1999.
16 Adrian Sandu – Resume
Publications
Theses and Dissertations
1. Ph.D. Dissertation in Applied Mathematical and Computational Sciences
Title: “Numerical Aspects of Air Quality Modeling”
Advisors: dr. Florian A. Potra, dr. Gregory R. Carmichael
The University of Iowa, 1997
2. M.S. Thesis in Computer Science
Title: “Sensitivity Analysis of ODE via Automatic Differentiation”
Advisors: dr. Arthur Fleck, dr. Florian A. Potra
The University of Iowa, 1997
3. Electrical and Computer Engineering Diploma Thesis
Title: “Optimal Regulator Design Using H∞ Techniques”
Advisor: dr. Vlad Ionescu
Polytechnic Institute Bucharest, Romania, 1990
Software
1. KPP - The Kinetic PreProcessor (with V. Damian-Iordache, G.R. Carmichael, F.A. Potra
and M. Damian-Iordache). A compiler processing chemical equations and deriving Fortran77,
Fortran90, C, and Matlab simulation code for chemical systems.
• Information and Code: http://www.cs.vt.edu/~asandu/Software/Kpp
• Currently used in academic and research institutions and in industry in United States,
Germany, The Netherlands, France, Italy, Spain, etc.
2. LN algorithm (stochastic multi-step molecular dynamics) implemented in the popular CHARMM
(Chemistry at Harvard Molecular Mechanics) package. LN is now an integral part of CHARMM
versions 27 and above.
• CHARMM home: http://www.lobos.nih.gov/Charmm
• Documentation (mts.doc): http://www.lobos.nih.gov/Charmm/c27n2/mts.html
3. PAQMSG: A Parallelization Library for Air Quality Models on Structured Grids (with P.
Miehe). An MPI-based communication library for the distribution, gathering, and reparti-
tioning of data for several domain-decomposition strategies.
• Information and Code: http://www.cs.vt.edu/~asandu/Software/Parallel
4. AeroSolve: a Software Package for the Simulation of Aerosol Dynamics.
Adrian Sandu – Resume 17
• Information and Code: http://www.cs.vt.edu/~asandu/Software/AeroSolve
5. DENSERKS: A suite of Fortran sensitivity solvers using continuous, explicit Runge-Kutta
schemes (with M. Alexe).
• Information and Code: http://www.cs.vt.edu/~asandu/Software/DENSERKS
6. CMAQ-v4.5 ADJOINT. CMAQ v4.5 (the Environmental Protection Agency’s official air qual-
ity model) endowed with adjoint and data assimilation capabilities (with K. Singh, A. Hakami,
J. Seinfeld, P. Percell, D. Byun).
• Information and Code: http://www.cs.vt.edu/~asandu/Software/CMAQ_ADJ
7. GEOS-CHEM ADJOINT. GEOS-CHEM endowed with adjoint and data assimilation capa-
bilities (with K. Singh, D. Henze, et al.).
• Information and Code: http://www.cs.vt.edu/~asandu/Software/GC_ADJ
8. FATODE. A library for Forward, Adjoint, and Tangent linear integration of stiff ODEs (with
H. Zhang).
• Information and Code: http://www.cs.vt.edu/~asandu/Software
Course Notes
9. A. Sandu: “Introduction to Fortran 95 and Numerical Computing”,
http://www.cs.vt.edu/~asandu/Deposit/Fortran95_notes.pdf.
10. A. Sandu: “Introduction to Computer Arithmetic”,
http://www.cs.vt.edu/~asandu/Deposit/comp_arithm.pdf.
Refereed Book Chapters
1. A. Sandu: “Solution of inverse ODE problems using discrete adjoints”, in Large Scale Inverse
Problems and Quantification of Uncertainty. L. Biegler, G. Biros, O. Ghattas, M. Heinken-
schloss, D. Keyes, B. Mallick, L. Tenorio, B. van Bloemen Waanders, and K. Willcox, editors.
John Wiley & Sons, pp. 345–364, 2010. 372 p., ISBN: 978-0-470-69743-6.
2. A. Sandu, T.F. Chai, and G.R. Carmichael: “Integration of Models and Observations: A
Modern Paradigm for Air Quality”, inModelling of Pollutants in Complex Environments, Vol.
2, Advanced Topics in Environmental Science series. G. Hanrahan editor. ILM Publications,
pp. 419–434, 2010. 468 p., ISBN: 978-1-906799-01-4.
3. A. Sandu : “Reverse Automatic Differentiation of Linear Multistep Methods”, in Advances in
Automatic Differentiation, Lecture Notes in Computational Science and Engineering series,
Vol. 64. C.H. Bischof, H.M. Bucker, P. Hovland, U. Naumann, and J. Utke, editors. Springer,
pp. 1–12, 2008. 370 p. 111 illus. ISBN: 978-3-540-68935-5.
18 Adrian Sandu – Resume
4. A. Sandu: “Time-Stepping Methods that Favor Positivity for Atmospheric Chemistry Model-
ing”, in IMA Volume 130: Atmospheric Modeling. D.P. Chock and G.R. Carmichael editors,
Springer-Verlag, pp. 21–38, 2002.
5. G.R. Carmichael, A. Sandu, C.H. Song, S. He, M. Phadnis, D. Daescu, V. Damian-Iordache,
and F.A. Potra: “Computational Challenges of Modeling Interactions between Aerosol and
Gas Phase Processes”, in NATO Advanced Study Institute on Computational Challenges in
Air Pollution Modeling. Z. Zlatev editor, pp. 99-136, 1999.
6. G.R. Carmichael, A. Sandu, F.A. Potra, V. Damian-Iordache, and M. Damian-Iordache: “The
Current State and the Future Directions in Air Quality Modeling”, in Modeling and Simula-
tion of Complex Environmental Problems, A. Sydow, G.R. Carmichael, and G. Korn, editors,
Springer-Verlag, pp. 75–105, 1996.
7. G.R. Carmichael, A. Sandu, F.A. Potra, and V. Damian-Iordache: “An Overview of Sen-
sitivity Analysis for Atmospheric Chemistry Models via Automatic Differentiation”, in Air
Pollution IV - Monitoring, Simulation and Control. B. Caussade, H. Power, and C.A. Breb-
bia, editors, Computational Mechanics Publications, Southampton, Boston, pp. 71–80, 1996.
Adrian Sandu – Resume 19
Journal Impact Factor (ISI Web of Knowledge, Journal Citation Reports)
Journal JCR IF: 1/5 yrs
Aerosol Science and Technology (2007) 2.350/2.230
Applied Mathematics and Computation (2008) 0.961/1.124
Applied Numerical Mathematics (2008) 0.952/1.065
Atmospheric Chemistry and Physics (2007) 4.865/4.543
Atmospheric Environment (2007) 2.549/3.320
Computers and Mathematics with Applications (2008) 0.997/1.049
Computational Geosciences (2007) 0.893/1.259
Computers and Chemical Engineering (2007) 1.238/1.815
Engineering Computations (2008) 0.488/0.758
Environmental Management and Health (2007) 1.240/1.670
Environmental Modeling and Software (2007) 2.099/2.217
Environmental Science and Technology (2007) 4.363/4.930
IEEE Transactions on Parallel and Distributed Systems (2008) 1.916/2.374
International Journal for Numerical Methods in Fluids (2007) 0.712/1.017
International Journal of Computer Mathematics (2007) 0.423/0.451
International Journal of Heavy Vehicle Systems (2007) 0.051/0.061
International Journal of Systems Science (2007) 0.492/0.549
Journal of Computational and Applied Mathematics (2008) 1.048/1.138
Journal of Computational Physics (2007) 2.372/2.820
Journal of Dynamic Systems Measurement and Control (2008) 0.753/0.970
Journal of Geophysical Research (2007) 2.953/3.402
Journal of Multibody Dynamics (2007) 0.309/0.368
Journal of Scientific Computing (2007) 1.293/NA
Journal of Supercomputing (2008) 0.615/0.604
Monthly Weather Review (2007) 2.267/3.061
Multibody System Dynamics (2007) 0.593/0.881
Quarterly Journal of the Royal Meteorological Society (2007) 2.893/2.805
SIAM Journal on Scientific Computing (2007) 1.784/2.231
Tellus A – Dynamic Meteorology and Oceanography (2008) 1.965/2.359
20 Adrian Sandu – Resume
Journal Papers under Review
1. J. Hays, A. Sandu, C. Sandu, and D. Hong: “Motion Planning of Uncertain Ordinary Dif-
ferential Equation Systems”. Submitted to Journal of Dynamic Systems Measurement And
Control – Transactions of the ASME, March 2011.
2. A. Sandu and H. Cheng*: “A Subspace Approach to Data Assimilation and New Opportu-
nities for Hybridization”.
3. A. Cioaca*, M. Alexe, and A. Sandu: “Second Order Adjoints for Solving PDE-Constrained
Optimization Problems”. Submitted to Optimization Methods and Software, Oct. 2010.
4. M. Alexe* and A. Sandu: “Space-time Adaptive Solution of Inverse Problems with the Dis-
crete Adjoint Method”. Submitted to Inverse Problems, Nov. 2010.
5. T.-H. Ahn, A. Sandu, L.T. Watson, C.A. Shaffer, Y. Cao, and W.T. Baumann: “Parallel
Load Balancing Strategies for Ensembles of Stochastic Biochemical Simulations”. Submitted
to IEEE TPDS, Dec. 2010.
6. E.M. Constantinescu* and A. Sandu: “Extrapolated Multirate Methods for Differential Equa-
tions with Multiple Time Scales”. Submitted to Journal of Scientific Computing, Oct. 2010.
7. T.Y. Gou* and A. Sandu: “Continuous versus Discrete Advection Adjoints in Chemical Data
Assimilation with CMAQ”. Submitted to Atmospheric Environment, Jan. 2011.
8. K. Singh and A. Sandu: “Variational Chemical Data Assimilation with Approximate Ad-
joints”. Submitted to Computers & Geosciences, Jan. 2011.
Journal Papers
1. K. Singh*, M. Jardak*, A. Sandu, K. Bowman, M. Lee, and D. Jones: “Construction of Non-
diagonal Background Error Covariance Matrices for Global Chemical Data Assimilation”.
Geoscientific Model Development, Vol. 4, pp. 299–314, 2011.
2. J.C. Linford*, J. Michalakes, M. Vaccharajani, and A. Sandu: “Automatic Generation of
Multi-Core Chemical Kernels”. IEEE Transactions on Parallel and Distributed Systems, Vol.
22, Issue 1, pp. 119–131, 2011.
3. A. Sandu and P. Miehe*: “Forward, Tangent Linear, and Adjoint Runge Kutta Methods in
KPP–2.2 for Efficient Chemical Kinetic Simulations”. International Journal of Computer
Mathematics, Vol. 87, Issue 11, pp. 2458–2479, September 2010.
Adrian Sandu – Resume 21
4. E.M. Constantinescu* and A. Sandu: “Optimal Explicit Strong Stability Preserving General
Linear Methods”. SIAM Journal on Scientific Computing, Vol. 32, Issue 5, pp. 3130–3150,
2010.
5. E. Blanchard*, A. Sandu, and C. Sandu: “PSM: A Polynomial Chaos-Based Kalman Filter
Approach for Parameter Estimation of Mechanical Systems”. Journal of Dynamic Systems
Measurement and Control, Volume 132, Issue 6, 061404 (18 pages), doi:10.1115/1.4002481,
2010.
6. J.C. Linford* and A. Sandu: “Scalable Heterogeneous Parallelism for Atmospheric Modeling
and Simulation”. Journal of Supercomputing, pp. 1–28, doi: 10.1007/s11227-010-0380-8,
2010. Online: http://dx.doi.org/10.1007/s11227-010-0380-8
7. E.M. Constantinescu* and A. Sandu: “Extrapolated Implicit-Explicit Time Stepping”. SIAM
Journal on Scientific Computing, Vol. 31, Issue 6, pp. 4452–4477, doi:10.1137/080732833,
2010.
8. H. Cheng*, M. Jardak*, M. Alexe*, and A. Sandu: “A Hybrid Approach to Estimating Error
Covariances in Variational Data Assimilation”. Tellus Series A – Dynamic Meteorology and
Oceanography, Vol. 62, Issue A, pp. 288–297, 2010.
9. M. Alexe* and A. Sandu: “On the Discrete Adjoints of Variable Step Time Integrators”.
Journal of Computational and Applied Mathematics, Vol. 233, Issue 4, pp. 1005–1020, 2009.
10. E. Blanchard*, A. Sandu, and C. Sandu: “Polynomial Chaos Based Parameter Estimation
Methods for Vehicle Systems”. Journal of Multi-body Dynamics, Vol. 224, pp. 59–81,
doi:10.1243/14644193JMBD204, 2010.
11. T. Chai, G.R. Carmichael, Y. Tang, and A. Sandu: “Regional NOX emission inversion
through a four-dimensional variational approach using SCIAMACHY tropospheric NO2 col-
umn observations”. Atmospheric Environment, Vol. 43, Issue 32, pp. 5046–5055, doi:
10.1016/j.atmosenv.2009.06.052, 2009.
12. P. Eller*, K. Singh*, A. Sandu, K. Bowman, D.K. Henze, and M. Lee: “Implementation
and Evaluation of an Array of Chemical Solvers in a Global Chemical Transport Model”.
Geophysical Model Development, Vol. 2, pp. 1–7, 2009.
13. H. Cheng* and A. Sandu: “Efficient Uncertainty Quantification with the Polynomial Chaos
Method for Stiff Systems”. Computers and Mathematics with Applications, Vol. 79, Issue 11,
p. 3278–3295, 2009.
14. E. Blanchard*, A. Sandu, and C. Sandu: “Parameter Estimation for Mechanical Systems
via an Explicit Representation of Uncertainty”. Engineering Computations. International
Journal for Computer-Aided Engineering and Software, Vol. 26, Issue 5, pp. 541–569, doi:
10.1108/02644400910970185, 2009.
22 Adrian Sandu – Resume
15. H. Cheng* and A. Sandu: “Uncertainty Quantification in 3D Air Quality Models using Poly-
nomial Chaoses”. Environmental Modeling and Software, Vol. 24, Issue 8, pp. 917–925,
doi:10.1016/j.envsoft.2008.12.005, 2009.
16. M. Alexe* and A. Sandu: “Forward and adjoint sensitivity analysis with continuous explicit
Runge-Kutta schemes”. Applied Mathematics and Computation, Vol. 208, No. 2, pp. 328–
346, doi:10.1016/j.amc.2008.11.035, 2009.
17. A. Sandu and E.M. Constantinescu*: “Multirate Adams Methods for Hyperbolic Equa-
tions”. Journal of Scientific Computing, Vol. 38, No. 2, pp. 229–249, doi:10.1007/
s10915-008-9235-3, 2009.
18. L. Zhang*, E.M. Constantinescu*, A. Sandu, Y. Tang, T. Chai, G.R. Carmichael, D. Byun,
E. Olaguer: “An Adjoint Sensitivity Analysis and 4D-Var Data Assimilation Study of Texas
Air Quality”. Atmospheric Environment, Vol. 42, Issue 23, pp. 5787–5804, 2008.
19. A. Sandu and L. Zhang*: “Discrete Second Order Adjoints in Atmospheric Chemical Trans-
port Modeling”. Journal of Computational Physics, Vol. 227, Issue 12, pp. 5949–5983,
doi:10.1016/j.jcp.2008.02.011, 2008.
20. E.M. Constantinescu*, A. Sandu, and G.R. Carmichael: “Modeling Atmospheric Chemistry
and Transport with Dynamic Adaptive Resolution”. Computational Geosciences, Vol. 12,
No. 2, p. 133–151, doi:10.1007/s10596-007-9065-7, 2008.
21. Z. Liu* and A. Sandu: “Analysis of Discrete Adjoints of Numerical Methods for the Advection
Equation”. International Journal for Numerical Methods in Fluids, Vol. 56, Issue 7, pp. 769–
803, doi:10.1002/fld.1550, 2008.
22. C. Sandu, A. Sandu, B. Chan, and M. Ahmadian: “A Response Spectral Decomposition
Approach for the Control of Nonlinear Mechanical Systems”. International Journal of Heavy
Vehicle Systems, Vol. 15, No 1, pp. 27-52, 2008.
23. G.R. Carmichael, A. Sandu, T. Chai, D. Daescu, E.M. Constantinescu*, and Y. Tang: “Pre-
dicting Air Quality: Improvements through Advanced Methods to Integrate Models and Mea-
surements”. Journal of Computational Physics (Special issue on predicting weather, climate
and extreme events), Vol. 227, Issue 7, pp. 3540–3571, 2008.
24. A. Hakami, D.K. Henze, J.H. Seinfeld, K. Singh*, A. Sandu, S. Kim, D. Byun, and Q. Li:
“The Adjoint of CMAQ”. Environmental Science and Technology, Vol. 41, No. 22, p. 7807–
7817, doi:10.1021/es070944p, 2007.
25. E.M. Constantinescu* and A. Sandu: “Multirate Timestepping Methods for Hyperbolic Con-
servation Laws”. Journal of Scientific Computing, Vol. 33, Issue 3, p. 239–278, doi:
10.1007/s10915-007-9151-y, 2007.
Adrian Sandu – Resume 23
26. E.M. Constantinescu*, T. Chai, A. Sandu, and G.R. Carmichael: “Autoregressive Models of
Background Errors for Chemical Data Assimilation”. Journal of Geophysical Research, Vol.
112, D12309, doi:10.1029/2006JD008103, 2007.
27. E.M. Constantinescu*, A. Sandu, T. Chai, and G.R. Carmichael: “Ensemble-based Chemical
Data Assimilation. I: General Approach”. Quarterly Journal of the Royal Meteorological
Society, Vol. 133, Issue 626, pp. 1229–1243, Online ISSN: 1477-870X, Print ISSN: 0035-9009,
July 2007 Part A.
28. E.M. Constantinescu*, A. Sandu, T. Chai, and G.R. Carmichael: “Ensemble-based Chemical
Data Assimilation. II: Covariance Localization”. Quarterly Journal of the Royal Meteorolog-
ical Society, Vol. 133, Issue 626, pp. 1245–1256, Online ISSN: 1477-870X, 14 pages, Print
ISSN: 0035-9009, July 2007 Part A.
29. T. Chai, G.R. Carmichael, Y. Tang, A. Sandu, M. Hardesty, P. Pilewskie, S. Whitlow, E.V.
Browell, M.A. Avery, V. Thouret, P. Nedelec, J.T. Merrill, and A.M. Thomson: “Four Di-
mensional Data Assimilation Experiments with ICARTT (International Consortium for At-
mospheric Transport and Transformation) Ozone Measurements”. Journal of Geophysical
Research, Vol. 112, D12S15, 18 pages, doi:10.1029/2006JD007763, 2007.
30. E.M. Constantinescu*, A. Sandu, T. Chai, and G.R. Carmichael: “Investigation of Ensemble-
based Chemical Data Assimilation in an Idealized Setting”. Atmospheric Environment, Vol.
41, Issue 1, pp. 18–36, 2007.
31. A. Hakami, J.H. Seinfeld, T. Chai, Y. Tang, G.R. Carmichael, and A. Sandu: “Adjoint Sensi-
tivity Analysis of Ozone Non-attainment over the Continental United States”. Environmental
Science and Technology, Vol. 40, No. 12, pp. 3855-3864, doi:10.1021/es052135g, 2006.
32. C. Sandu, A. Sandu, and L. Li: “Modeling of Stochastic Terrain Profiles and Soil Parameters”,
SAE 2005 Transactions Journal of Commercial Vehicles, Vol. V114-2, Paper number 2005-
01-3559, pp. 211–220, Feb. 2006.
33. T. Chai, G. R. Carmichael, A. Sandu, Y. Tang, and D.N. Daescu: “Chemical data assimilation
of Transport and Chemical Evolution over the Pacific (TRACE-P) aircraft measurements”,
Journal of Geophysical Research, Vol. 111, D02301, 18 pages, doi:10.1029/2005JD005883,
2006.
34. A. Sandu and R. Sander: “Simulating Chemical Kinetic Systems in Fortran90 and Matlab
with the Kinetic PreProcessor KPP-2.1”. Atmospheric Chemistry and Physics, Vol. 6, pp.
187–195, SRef-ID: 1680-7324/acp/2006-6-187, 2006.
35. A. Sandu: “Piecewise Polynomial Solutions of Aerosol Dynamics”, Aerosol Science and Tech-
nology, Vol. 40, pp. 1–13, 2006.
24 Adrian Sandu – Resume
36. W. Liao*, A. Sandu, G.R. Carmichael, and T. Chai: “Total Energy Singular Vector Analysis
for Atmospheric Chemical Transport Models”. Monthly Weather Review, Vol. 134, No. 9,
pp. 2443–2465, 2006.
37. A. Sandu, C. Sandu, and M. Ahmadian: “Modeling Multibody Dynamic Systems With Un-
certainties. Part I: Theoretical and Computational Aspects”. Multibody System Dynamics,
Vol. 15, No. 4, pp. 369–391, doi:10.1007/s11044-006-9007-5, 2006.
38. C. Sandu, A. Sandu, and M. Ahmadian: “Modeling Multibody Dynamic Systems With Un-
certainties. Part II: Numerical Applications”. Multibody System Dynamics, Vol. 15, No. 3,
pp. 245–266, doi:10.1007/S11044--9008--4, 2006.
39. A. Hakami, D.K. Henze, J.H. Seinfeld, T. Chai, Y. Tang, G.R. Carmichael, and A. Sandu:
“Adjoint Inverse Modeling of Black Carbon During ACE-Asia”. Journal of Geophysical Re-
search, Vol. 110, No. D14, D14301, doi:10.1029/2004JD005671, 25 pages, 2005.
40. A. Sandu, W. Liao*P, G.R. Carmichael, D.K. Henze, and J.H. Seinfeld: “Inverse Modeling
of Aerosol Dynamics using Adjoints – Theoretical and Numerical Considerations”, Aerosol
Science and Technology, Vol. 39, pp. 1–18, doi:10.1080/02786820500182289, 2005.
41. A. Sandu, D.N. Daescu, G.R. Carmichael, and T. Chai: “Adjoint Sensitivity Analysis of
Regional Air Quality Models”, Journal of Computational Physics, Vol. 204, pp. 222–252,
2005.
42. D.K. Henze, J.H. Seinfeld, W. Liao*, A. Sandu, G.R. Carmichael: “Inverse Modeling of
Aerosol Dynamics: Condensational Growth”, Journal of Geophysical Research, Vol. 109, No.
D14, D14201, doi:10.1029/2004JD004593, 14 pages, July 2004.
43. Y. Tang, G.R. Carmichael, J.H. Seinfeld, D. Dabdub, R.J. Weber, B. Huebert, A.D. Clarke,
S.A. Guazzotti, D.A. Sodeman, K.A. Prather, I. Uno, J.H. Woo, D.G. Streets, P. K. Quinn,
J.E. Johnson, C.H. Song, A. Sandu, R.W. Talbot, and J.E. Dibb: “Three-dimensional Studies
of Aerosol Ions and Their Size Distribution in East Asia During Spring 2001”. Journal of Geo-
physical Research - Atmospheres, Vol. 109, No. D19, D19S23, doi:10.1029/2003JD004201,
32 pages, July 2004.
44. Y. Tang, G.R. Carmichael, L.W. Horowitz, I. Uno, J.H. Woo, D.G. Streets, D. Dabdub, G.
Kurata, A. Sandu, J. Allan, E. Atlas, F. Flocke, L.G. Huey, R.O. Jakoubek, D.B. Millet, D.D.
Parrish, P.K. Quinn, J.M. Roberts, T.B. Ryerson, E. Williams, J.B. Nowak, D. Worsnop, A.
Goldstein, S. Donnelly, S. Schauffler, V. Stroud, K. Johnson, M.A. Avery, H.B. Singh, and
E.C. Apel: “Multi-scale Simulations of Tropospheric Chemistry in the Eastern Pacific and
US West Coast during Spring 2002”, Journal of Geophysical Research - Atmospheres, Vol.
109, No. D23, D23S11, doi:10.1029/2004JD004513, 25 pages, August 2004.
Adrian Sandu – Resume 25
45. A. Sandu, D. Negrut, E. Haug, F.A. Potra, and C. Sandu: “A Rosenbrock-Nystrom State
Space Implicit Method for the Dynamic Analysis of Mechanical Systems: I – Theoretical
Development”. Journal of Multibody Dynamics, Vol. 217, No. K4, pp. 263–272, 2003.
46. D. Negrut, A. Sandu, E. Haug, F.A. Potra, and C. Sandu: “A Rosenbrock-Nystrom State
Space Implicit Method for the Dynamic Analysis of Mechanical Systems: II – The Method
and Numerical Results”. Journal of Multibody Dynamics, Vol. 217, No. K4, p. 273–282,
2003.
47. A. Sandu, D. Daescu, and G.R. Carmichael: “Direct and Adjoint Sensitivity Analysis of
Chemical Kinetic Systems with KPP: I – Theory and Software Tools”, Atmospheric Environ-
ment, Vol. 37, pp. 5083–5096, 2003.
48. D. Daescu, A. Sandu, and G.R. Carmichael: “Direct and Adjoint Sensitivity Analysis of
Chemical Kinetic Systems with KPP: II – Validation and Numerical Experiments”, Atmo-
spheric Environment, Vol. 37, pp. 5097–5114, 2003.
49. A. Sandu and C. T. Borden: “A Framework for the Numerical Treatment of Aerosol Dynam-
ics”, Applied Numerical Mathematics, No. 45, pp. 475–497, 2003.
50. V. Damian, A. Sandu, M. Damian, F. Potra, and G.R. Carmichael: “The Kinetic PreProces-
sor KPP – A Software Environment for Solving Chemical Kinetics”, Computers and Chemical
Engineering, Vol. 26, No. 11, p. 1567–1579, 2002.
51. P. Miehe, A. Sandu, G.R. Carmichael, Y. Tang, and D. Daescu: “A Communication Library
for the Parallelization of Air Quality Models on Structured Grids”, Atmospheric Environment,
Vol. 36, No. 24, pp. 3917–3930, 2002.
52. A. Sandu: “A Newton-Cotes Quadrature Approach for Solving the Aerosol Coagulation Equa-
tion”, Atmospheric Environment, Vol. 36, No. 3, pp. 583–589, 2002.
53. A. Sandu: “Positive Numerical Integration Methods for Chemical Kinetic Systems”, Journal
of Computational Physics, Vol. 170, pp. 1–14, 2001.
54. D. Daescu, G.R. Carmichael, and A. Sandu: “Adjoint Implementation of Rosenbrock Meth-
ods Applied to Variational Data Assimilation Problems”, Journal of Computational Physics,
Vol. 165, pp. 496–510, 2000.
55. S. He, G.R. Carmichael, A. Sandu, B. Hotchkiss, and V. Damian-Iordache: “Application of
ADIFOR for Air Pollution Model Sensitivity Studies”, Environmental Modeling and Software,
Vol. 15, pp. 549–557, 2000.
56. G.R. Carmichael, A. Sandu, C.H. Song, S. He, M. Phadnis, D. Daescu, V. Damian-Iordache,
and F.A. Potra: “Computational Challenges of Modeling Interactions between Aerosol and
Gas Phase Processes in Large Scale Air Pollution Models”, Environmental Management and
Health, Vol. 10/4, pp. 224–235, 1999.
26 Adrian Sandu – Resume
57. A. Sandu, and T. Schlick: “Masking Resonance Artifacts in Force-Splitting Methods for
Biomolecular Simulations by Extrapolative Langevin Dynamics”, Journal of Computational
Physics, Vol. 151, No. 1, pp. 74–113, 1999.
58. A. Sandu, J.G. Verwer, J.G. Blom, E.J. Spee, G.R. Carmichael and F.A. Potra: “Bench-
marking Stiff ODE Solvers for Atmospheric Chemistry Problems II: Rosenbrock Methods” ,
Atmospheric Environment, Vol. 31, pp. 3459–3472, 1997.
59. A. Sandu, J.G. Verwer, M. van Loon, G.R. Carmichael, F.A. Potra, D. Dabdub, and J.H.
Seinfeld : “Benchmarking Stiff ODE Solvers for Atmospheric Chemistry Problems I: Implicit
versus Explicit”, Atmospheric Environment, Vol. 31, pp. 3151–3166, 1997.
60. L.O. Jay, A. Sandu, F.A. Potra, and G.R. Carmichael: “Improved QSSA Methods for Atmo-
spheric Chemistry Integration”, SIAM Journal on Scientific Computing, Vol. 18, Issue 1, p.
182–202, 1997.
61. G.R. Carmichael, A. Sandu, F.A. Potra, and V. Damian-Iordache: “Sensitivity Analysis for
Atmospheric Chemistry Models via Automatic Differentiation”, Atmospheric Environment,
Vol. 31, No. 3, pp. 475–489, 1997.
62. G.R. Carmichael, A. Sandu, F.A. Potra, V. Damian-Iordache, and M. Damian-Iordache: “The
Current State and the Future Directions in Air Quality Modeling”, Systems Analysis Mod-
elling Simulation (currently named “International Journal of Systems Science”), Vol. 25, pp.
75–105, 1996.
63. A. Sandu, F.A. Potra, V. Damian-Iordache, and G.R. Carmichael: “Efficient Implementation
of Fully Implicit Methods for Atmospheric Chemistry”, Journal of Computational Physics,
Vol. 129, pp. 101–110, 1996.
Conference Papers Under Review
1. M. Alexe* and A. Sandu: “Adaptive Solution of Time-dependent Inverse Problems with the
Discrete Adjoint Method”. Submitted to International Conference on Computational Science,
Japan, 2011.
2. T. Ahn* and A. Sandu: “Weakly Convergent Stochastic Implicit Integrators Applied to the
Solution of Stochastic Chemical Kinetic Problems”. Submitted to International Conference
on Computational Science, Japan, 2011.
3. A. Sandu and A. St-Cyr: “Stability Analysis of the Matrix-Free Linearly Implicit Euler
Method”. Submitted to High Performance Computing Symposium 2011.
Adrian Sandu – Resume 27
4. H. Zhang* and A. Sandu: “FATODE: A Library for Forward, Adjoint, and Tangent Linear
Integration of Stiff Systems”. Submitted to High Performance Computing Symposium 2011.
5. T.-H. Ahn* and A. Sandu: “Fully Implicit Tau-Leaping Methods for the Stochastic Simula-
tion of Chemical Kinetics ” Submitted to High Performance Computing Symposium 2011.
Conference Papers
1. J. Hays*, D. Hong, C. Sandu, and A. Sandu: “DETC2010-28134: Design Optimization for
Minimizing Actuation Energy of a Dynamic Tripedal Walking Robot - Revisiting the Dou-
ble Pendulum”. Proceedings of the ASME 2010 International Design Engineering Technical
Conferences & Computers and Information in Engineering Conference (IDETC/CIE 2010),
C. Collins (ed.), 9 pages, American Society of Automotive Engineers (ASME), New York,
NY, 2010. Conference dates and venue: August 15–18, 2010, Montreal, Quebec, Canada.
2. E. Blanchard*, C. Sandu, and A. Sandu: “DETC2010-28467: LQR Stochastic Control”. Pro-
ceedings of the ASME 2010 International Design Engineering Technical Conferences & Com-
puters and Information in Engineering Conference (IDETC/CIE 2010), C. Collins (ed.), 10
pages, American Society of Automotive Engineers (ASME), New York, NY, 2010. Conference
dates and venue: August 15–18, 2010, Montreal, Quebec, Canada.
3. T.H. Ahn* and A. Sandu: “Parallel Stochastic Simulations of Budding Yeast Cell Cycle:
a Theoretical Analysis of Load Balancing Strategies”. Proceedings of ACM International
Conference on Bioinformatics and Computational Biology (ACM BCB 2010), L. Liao, G. Li,
A. Zhang, M. Borodovsky, G. Ozsoyoglu, and A.R. Mikler (eds.), pp. 237–246, Association
for Computing Machinery, New York, NY, 2010. Conference dates and venue: August 2–4,
2010, Niagara Falls, New York.
4. H. Cheng* and A. Sandu: “Collocation Least-squares Polynomial Chaos Method”. Pro-
ceedings of the 2010 Spring Simulation Multiconference (SpringSim’10), High Performance
Computing Symposium (HPC-2010), A. Sandu, L.T. Watson, W.I. Thacker (eds.), pp. 94–99,
Society for Modeling and Simulation International, Vista, California, 2010. Conference dates
and venue: April 12–15, 2010, Florida Mall Hotel and Conference Center Orlando, Florida.
5. P. Eller*, K. Singh*, and A. Sandu: “Development and Acceleration of Parallel Chemical
Transport Models”. Proceedings of the 2010 Spring Simulation Multiconference (SpringSim’10),
High Performance Computing Symposium (HPC-2010), A. Sandu, L.T. Watson, W.I. Thacker
(eds.), pp. 57–64, Society for Modeling and Simulation International, Vista, California, 2010.
Conference dates and venue: April 12–15, 2010, Florida Mall Hotel and Conference Center
Orlando, Florida.
28 Adrian Sandu – Resume
6. M. Alexe*, A. Cioaca*, and A. Sandu: “Obtaining and Using Second Order Derivative Infor-
mation in the Solution of Large Scale Inverse Problems”. Proceedings of the 2010 Spring Sim-
ulation Multiconference (SpringSim’10), High Performance Computing Symposium (HPC-
2010), A. Sandu, L.T. Watson, W.I. Thacker (eds.), pp. 65–72, Society for Modeling and
Simulation International, Vista, California, 2010. Conference dates and venue: April 12–15,
2010, Florida Mall Hotel and Conference Center Orlando, Florida.
7. B. Lepsa* and A. Sandu: “An efficient error control mechanism for the Parareal time dis-
cretization algorithm and its variants”. Proceedings of the 2010 Spring Simulation Multicon-
ference (SpringSim’10), High Performance Computing Symposium (HPC-2010), A. Sandu,
L.T. Watson, W.I. Thacker (eds.), pp. 79–85, Society for Modeling and Simulation Interna-
tional, Vista, California, 2010. Conference dates and venue: April 12–15, 2010, Florida Mall
Hotel and Conference Center Orlando, Florida.
8. E. Blanchard, S. Sandu, and A. Sandu: “Comparison Between a Polynomial Chaos Based
Bayesian Approach and a Polynomial Chaos Based EKF Approach for Parameter Estimation
with Applications to Vehicle Dynamics”, Proceedings of the ASME 2009 International Design
Engineering Technical Conferences (IDETC) & Computers and Information in Engineering
Conference (CIE), 11-th International Conference on Advanced Vehicle and Tire Technol-
ogy (AVTT), Paper no DETC2009-86402, 12 pages. Recipient of AVTT Best Paper award.
American Society of Automotive Engineers (ASME), New York, NY, 2009. Conference dates
and venue: Aug. 30–Sept 2 2009, San Diego, California.
9. A. Sandu and E.M. Constantinescu*: “Multirate Time Integration of Hyperbolic Partial Dif-
ferential Equations”. Seventh International Conference on Numerical Analysis and Applied
Mathematics (ICNAAM 2009), American Institute of Physics (AIP) Conference Proceedings,
Vol. 1168, pp. 1411–1414, doi:10.1063/1.3241354, 2009. Conference dates and venue: 18–22
September 2009, Rethymno, Crete, Greece.
10. J.C. Linford*, J. Michalakes, M. Vachharajani, and A. Sandu: “Multicore Acceleration of
Chemical Kinetics for Simulation and Prediction”. Proceedings of the ACM/IEEE Conference
on High Performance Computing Networking, Storage and Analysis (SC’09), pp. 1–11, ISBN:
978-1-60558-744-8, Association for Computing Machinery, New York, NY, 2009. Conference
dates and venue: November 14–20, 2009, 2009, Portland, Oregon.
11. E.M. Constantinescu* and A. Sandu: “Explicit Time Stepping Methods with High Stage
Order and Monotonicity Properties”. International Conference on Computational Science
2009 (ICCS-2009), Springer Lecture Notes on Computational Science (LNCS), Vol. 5545,
G. Allen, J. Nabrzyski, E. Seidel, G.D. van Albada, J. Dongarra, and P.M.A. Sloot (eds.),
pp. 293–301, Springer, 2009. Conference dates and venue: May 25–27, 2009, Baton Rouge,
Louisiana. Acceptance rate 30%.
Adrian Sandu – Resume 29
12. K. Singh and A. Sandu: “Improving GEOS-ChemModel Forecasts Through Profile Retrievals
from Tropospheric Emission Spectrometer”. International Conference on Computational Sci-
ence 2009 (ICCS-2009), Springer Lecture Notes on Computational Science (LNCS), Vol.
5545, G. Allen, J. Nabrzyski, E. Seidel, G.D. van Albada, J. Dongarra, and P.M.A. Sloot
(eds.), pp. 302–311, Springer, 2009. Conference dates and venue: May 25–27, 2009, Baton
Rouge, Louisiana. Acceptance rate 30%.
13. T.Y. Gou and A. Sandu: “Chemical Data Assimilation with CMAQ: Continuous vs. Discrete
Advection Adjoints”. International Conference on Computational Science 2009 (ICCS-2009),
Springer Lecture Notes on Computational Science (LNCS), Vol. 5545, G. Allen, J. Nabrzyski,
E. Seidel, G.D. van Albada, J. Dongarra, and P.M.A. Sloot (eds.), pp. 312–321, Springer,
2009. Conference dates and venue: May 25–27, 2009, Baton Rouge, Louisiana. Acceptance
rate 30%.
14. K. Singh*, P. Eller*, A. Sandu, D. Henze, K. Bowman, M. Kopacz and M. Lee: “Towards
the Construction of a Standard Adjoint GEOS-Chem Model”. Proceedings of the 2009
Spring Simulation Multiconference, High Performance Computing Symposium, C. Ribbens,
A. Sandu, and W.I. Thacker (eds.), 8 pages, Society for Modeling and Simulation Interna-
tional, Vista, California, 2009. Conference dates and venue: March 22–27, 2009, San Diego,
California.
15. S. Schneider, J.-S. Yeom, Benjamin Rose, J.C. Linford*, A. Sandu and D.S. Nikolopoulos: “A
Comparison of Programming Models for Multiprocessors with Explicitly Managed Memory
Hierarchies”. Proceedings of the 14th ACM SIGPLAN Symposium on Principles and Practice
of Parallel Programming (PPoPP), pp. 131—140, Association for Computing Machinery,
New York, NY, 2009. Conference dates and venue: February 14–18, 2009, Raleigh, North
Carolina.
16. H. Cheng* and A. Sandu: “Uncertainty Apportionment for Air Quality Forecast Models”
Proceedings of 24th Annual ACM Symposium on Applied Computing (SAC-2009), Computa-
tional Sciences Track, A. Sandu and Y. Cao (eds.), pp. 956–960, Association for Computing
Machinery, New York, NY, 2009. Conference dates and venue: March 8–12, 2009, Hilton
Hawaiian Village Beach Resort & Spa, Waikiki Beach, Honolulu, Hawaii. Acceptance rate
29%.
17. J.C. Linford* and A. Sandu: “3D Chemical Transport for the Cell Broadband Engine”. Pro-
ceedings of 24th Annual ACM Symposium on Applied Computing (SAC-2009), Computational
Sciences Track, A. Sandu and Y. Cao (eds.), pp. 976-980, Association for Computing Machin-
ery, New York, NY, 2009. Conference dates and venue: March 8–12, 2009, Hilton Hawaiian
Village Beach Resort & Spa, Waikiki Beach, Honolulu, Hawaii. Acceptance rate 29%.
18. A. Sandu and E.M. Constantinescu*: “Extrapolation Multirate Methods for Time Integra-
tion”. Proceedings of the Congress of the European Consortium for Mathematics in Industry
30 Adrian Sandu – Resume
(ECMI 2008), Progress in Industrial Mathematics at ECMI 2008, A.D. Fitt, J. Norbury, H.
Ockedon, and R.E. Wilson (eds.), pp. 341–347. Springer-Verlag Heidelberg, Dordrecht, Lon-
don, New York, ISBN: 978-3-642-12109-8, doi: 10.1007/978-3-642-12110-4, 1083 pages, 2010.
Conference dates and venue: June 30–July 5, 2008, London, U.K.
19. A. Sandu: “Chemical Data Assimilation: Computational Tools and Applications”. Proceed-
ings of the 8th International Conference on HydroScience and Engineering (ICHE 2008), 10
pages, Nagoya Hydraulic Research Institute for River Basin Management, Department of
Civil Engineering, Nagoya University, 2008. Conference dates and venue: Sept. 8–12, 2008,
Nagoya, Japan.
20. A. Sandu and L. Zhang*: “Obtaining and Using Second Order Information in the Solu-
tion of Inverse Problems”. ASME 2008 International Design Engineering Technical Confer-
ences & Computers and Information in Engineering Conference IDETC/CIE 2008, paper no.
DETC2008/CIE-49242 (paper accepted in final form; not included in the proceedings due to
administrative delays). American Society of Automotive Engineers (ASME), New York, NY,
2008. Conference dates and venue: August 3–6, 2008, Brooklyn, New York.
21. M. Lee, R. Weidner, K. Bowman,A. Sandu, and K. Singh*: “Sensor-web Operations Explorer
(SOX) for Integrated Air Quality Campaign”. NASA Earth Science Technology Conference
(ESTC2008), 11 pages, National Aeronautics and Space Agency, 2008. Conference dates and
venue: June 24–26. 2008, University College, Maryland.
22. J.C. Linford* and A. Sandu: “Optimizing Large Scale Chemical Transport Models for Multi-
core Platforms”. Proceedings of the 2008 Spring Simulation Multiconference (SpringSim’08),
High Performance Computing and Simulation Symposium (HPCS-2008), M. Sosonkina, T.
Haupt, C. Shaffer, and A. Sandu (eds.), paper no. 30, 8 pages, Society for Modeling and
Simulation International, Vista, California. Conference dates and venue: April 14-1-6, 2008,
Ottawa, Ontario, Canada.
23. E.M. Blanchard*, A. Sandu, and C. Sandu: “Parameter Estimation Method using an Ex-
tended Kalman Filter”. Proceedings of the 2007 Asia-Pacific and North America Regional
ISTVS Conference, paper no. PI074, The International Society for Terrain-Vehicle Systems
(ISTVS), North Carolina, USA. Conference dates and venue: June 23–25 2007, Fairbanks,
Alaska.
24. E.M. Blanchard*, C. Sandu, and A. Sandu: “A Polynomial Chaos Based Bayesian Ap-
proach for Estimating Uncertain Parameters of Mechanical Systems”. Proceedings of the
ASME IDETC 2007, 9-th International Conference on Advanced Vehicle and Tire Technology
(AVTT), paper no. DETC2007-34600, 8 pages, American Society of Automotive Engineers
(ASME), New York, NY, 2007. Conference dates and venue: September 4–7, 2007, Las Vegas,
Nevada.
Adrian Sandu – Resume 31
25. H. Cheng and A. Sandu: “Numerical Study of Uncertainty Quantification Techniques for
Implicit Stiff Systems”. Proceedings of the 45-th ACM Southeast Conference, D. Dicheva,
V.P. Pauca, and J. Burg (eds.), 8 pages, Association for Computing Machinery, New York,
NY, 2007. Conference dates and venue: March 23-24, 2007, Winston-Salem, North Carolina.
26. M. Alexe and A. Sandu: “An Investigation of Discrete Adjoints for Flux-Limited Numerical
Schemes”. Proceedings of the 45-th ACM Southeast Conference, D. Dicheva, V.P. Pauca,
and J. Burg (eds.), 8 pages, Association for Computing Machinery, New York, NY, 2007.
Conference dates and venue: March 23-24, 2007, Winston-Salem, North Carolina.
27. A. Srivastava, J.C. Linford*, and A. Sandu: “Performance of Stabilized Explicit Time Inte-
gration Methods For Parallel Air Quality Models”. Proceedings of the 2007 Spring Simulation
Multiconference (SpringSim’05), High Performance Computing Symposium (HPC-2007), L.T.
Watson, T. Haupt, M. Sosonkina, and C. Shaffer (eds.), 8 pages, Society for Modeling and
Simulation International, Vista, California, 2007. Conference dates and venue: March 25-29,
2007, Norfolk, Virginia.
28. A. Sandu, E.M. Constantinescu*, G.R. Carmichael, T. Chai, J.H. Seinfeld, and Dacian
Daescu: “Localized Ensemble Kalman Dynamic Data Assimilation for Atmospheric Chem-
istry”. International Conference for Computational Science (ICCS-2007), Dynamic Data
Driven Application Systems Workshop, Springer Lecture Notes in Computer Science (LNCS),
Vol. 4487, Y. Shi, G.D. van Albada, J. Dongarra, and P.M.A. Sloot (eds.), pp. 1018–1025.
Conference dates and venue: May 27-30, 2007, Beijing, China. Acceptance rate 35%.
29. L. Zhang and A. Sandu: “Data Assimilation in Multiscale Chemical Transport Models”. In-
ternational Conference for Computational Science (ICCS-2007), Dynamic Data Driven Ap-
plication Systems Workshop, Springer Lecture Notes in Computer Science (LNCS), Vol. 4487,
Y. Shi, G.D. van Albada, J. Dongarra, and P.M.A. Sloot (eds.), pp. 1026–1033. Conference
dates and venue: May 27-30, 2007, Beijing, China. Acceptance rate 35%.
30. P. Miehe and A. Sandu: “Forward, Tangent Linear, and Adjoint Runge Kutta Methods
in KPP–2.2”. International Conference for Computational Science (ICCS-2006), Springer
Lecture Notes in Computer Science (LNCS), Vol. 3993, V.N. Alexandrov et al. (eds.), pp.
120–127, Springer-Verlag Berlin Heidelberg, 2006. Conference dates and venue: May 28–31,
2006, Reading, U.K. Acceptance rate 35%.
31. A. Sandu: “Targeted Observations for Atmospheric Chemistry and Transport Models”. In-
ternational Conference for Computational Science (ICCS-2006), Springer Lecture Notes in
Computer Science (LNCS), Vol. 3991, V.N. Alexandrov et al. (eds.), pp. 712–719, Springer-
Verlag Berlin Heidelberg, 2006. Conference dates and venue: May 28–31, 2006, Reading,
U.K. Acceptance rate 35%.
32. A. Sandu: “On the Properties of Runge-Kutta Discrete Adjoints”. International Confer-
ence for Computational Science (ICCS-2006), Springer Lecture Notes in Computer Science
32 Adrian Sandu – Resume
(LNCS), Vol. 3994, V.N. Alexandrov et al. (eds.), pp. 550–557, Springer-Verlag Berlin Hei-
delberg, 2006. Conference dates and venue: May 28–31, 2006, Reading, U.K. Acceptance rate
35%.
33. L. Lin, C. Sandu, and A. Sandu: “Modeling and Simulation of a Full Vehicle with Parametric
and External Uncertainties”. Proceedings of the 2005 ASME International Mechanical Engi-
neering Congress and Exposition, 7th Vehicle Dynamics and Controls Annual Symposium on
Advanced Vehicle Technologies, Session 4: Advances in Vehicle Systems Modeling and Sim-
ulation, paper No. IMechE-2005-82101, 6 pages, American Society of Automotive Engineers
(ASME), New York, NY, 2005. Conference dates and venue: November 6-11, 2005, Orlando,
Florida.
34. C. Sandu, A. Sandu, and L. Lin: “Stochastic Modeling of Terrain Profiles and Soil Param-
eters”. Proceedings of the SAE Commercial Vehicle Engineering Congress and Exhibition,
paper No. 2005-01-3559, 10 pages, American Society of Automotive Engineers (ASME), New
York, NY, 2005. Conference dates and venue: November 1-3, 2005, Chicago, Illinois.
35. A. Sandu, E.M. Constantinescu*, W. Liao*, G.R. Carmichael, T. Chai, J.H. Seinfeld, and D.
Daescu: “Ensemble–Based Data Assimilation for Atmospheric Chemical Transport Models”.
International Conference for Computational Science (ICCS-2005), Springer Lecture Notes in
Computer Science (LNCS), Vol. 3515, pp. 648–655, Springer-Verlag GmbH, 2005. Conference
dates and venue: May 22–25, 2005, Atlanta, Georgia.
36. E.M. Constantinescu*, W. Liao*, and A. Sandu: “On Adaptive Mesh Refinement in High
Resolution Air Quality Modeling”. International Conference for Computational Science
(ICCS-2005), Springer Lecture Notes in Computer Science (LNCS), Vol. 3515, pp. 798–
805, Springer-Verlag GmbH, 2005. Conference dates and venue: May 22–25, 2005, Atlanta,
Georgia.
37. W. Liao* and A. Sandu: “Total Energy Singular Vectors for Atmospheric Chemical Transport
Models”. International Conference for Computational Science (ICCS-2005), Springer Lecture
Notes in Computer Science (LNCS), Vol. 3515, pp. 806–813, Springer-Verlag GmbH, 2005.
Conference dates and venue: May 22–25, 2005, Atlanta, Georgia.
38. Z. Liu and A. Sandu: “Analysis of Discrete Adjoints for Upwind Numerical Schemes”. In-
ternational Conference for Computational Science (ICCS-2005), Springer Lecture Notes in
Computer Science (LNCS), Vol. 3515, pp. 829–836, Springer-Verlag GmbH, 2005. Confer-
ence dates and venue: May 22–25, 2005, Atlanta, Georgia.
39. E.M. Constantinescu*, W. Liao*, and A. Sandu: “Mesh Refinement Strategies in Air Qual-
ity Modeling”. Proceedings of the 2005 Spring Simulation Multiconference (SpringSim’05),
High Performance Computing Symposium (HPC-2005), M. Parashar and L. Watson editors,
pp. 158–163, Society for Modeling and Simulation International, Vista, California, 2005.
Conference dates and venue: April 2-8, 2005, San Diego, California.
Adrian Sandu – Resume 33
40. C. Sandu, A. Sandu, B. Chan, and M. Ahmadian: “Treatment of Constrained Multibody
Dynamic Systems with Uncertainties”. Proceedings of the SAE Congress 2005, paper No.
2005-01-0936, 11 pages, Society of Automotive Engineers, Willendale, Pennsylvania, 2005.
Conference dates and venue: April 11-14, 2005, Detroit, Michigan.
41. A. Sandu, C. Sandu, B. Chan, and M. Ahmadian: “Control of Mechanical Systems using a
Parameterized Spectral Decomposition Approach”. Proceedings of the ASME IMechE 2004,
6th annual symposium on advanced vehicle technology, paper no. IMechE-2004-60484, 9 pages,
American Society of Automotive Engineers (ASME), New York, NY, 2004. Conference dates
and venue: November 14-19, 2004, Annaheim, California.
42. C. Sandu, A. Sandu, B. Chan, and M. Ahmadian: “Treating Uncertainties in Multi-body
Dynamic Systems using a Polynomial Chaos Spectral Decomposition”. Proceedings of the
ASME IMechE 2004, sixth Annual Symposium on Advanced Vehicle Technology, paper no.
IMechE-2004-60482, 9 pages, American Society of Mechanical Engineers, 2004. Conference
dates and venue: November 14-19, 2004, Annaheim, California.
43. G.R. Carmichael, A. Sandu, D. Daescu, T. Chai, J.H. Seinfeld, P. Hess, and T. Anderson:
“Chemical Data Assimilation in Support of Air Quality Forecasting”. Proceedings of the
84-th American Meteorological Society annual meeting, Session 2: Air quality modeling and
forecasting, paper No. 2.1, 6 pages, American Meteorological Society, Boston, Massachusetts,
2004. Conference dates and venue: January 11-15, 2004, Seattle, Washington.
44. T. Chai, G.R. Carmichael, D. Daescu, and A. Sandu: “Analysis of TraceP Observations Using
a 4D-Var Data Assimilation Technique”. Proceedings of the 84-th American Meteorological
Society annual meeting, Session 8: Assimilation of observations (ocean, atmosphere, and
land surface) into models, paper No. 8.4, 6 pages, American Meteorological Society, Boston,
Massachusetts, 2004. Conference dates and venue: January 11-15, 2004, Seattle, Washington.
45. A. Sandu, W. Liao*, G.R. Carmichael, D. Henze, J.H. Seinfeld, T. Chai, and D. Daescu:
“Computational Aspects of Data Assimilation for Aerosol Dynamics”. International Confer-
ence for Computational Science (ICCS-2004), Springer Lecture Notes in Computer Science,
Springer-Verlag GmbH, Vol. 3038, pp. 709–716, 2004. Conference dates and venue: June
6–9, 2004, Krakow, Poland.
46. C. Belwal, A. Sandu, E.M. Constantinescu*: “Adaptive Resolution Modeling of Air Pollu-
tion”. Proceedings of ACM Symposium on Applied Computing (SAC-2004), Computational
Sciences Track, A. Sandu (ed.), pp. 235–239, Association for Computing Machinery, New
York, NY, 2004. Conference dates and venue: March 2004, Nicosia, Cyprus.
47. A. Sandu, D. Negrut, C. Sandu, E. J. Haug, F. A. Potra: “Rosenbrock Nystrom Integrator
for SSODE of Mechanical Systems”. Proceedings of 2003 ASME DETC, 19-th Biennial Con-
ference on Mechanical Vibration and Noise (VIB), fourth Symposium on Multibody Dynamics
34 Adrian Sandu – Resume
and Vibration, paper No. VIB-48329, 8 pages, American Society of Automotive Engineers
(ASME), New York, NY, 2003. Conference dates and venue: September 6–10, 2003, Chicago,
Illinois.
48. G.R. Carmichael, D. Daescu, A. Sandu, and T. Chai: “Computational Aspects of Chemical
Data Assimilation into Atmospheric Models”. International Conference for Computational
Science (ICCS-2003), Springer Lecture Notes in Computer Science, Vol. 2660, pp. 269–278,
Springer-Verlag GmbH, 2003. Conference dates and venue: June 2003, Melbourne, Australia.
49. A. Sandu and C. T. Borden: “Discretization of Aerosol Dynamics with B-splines”. Proceed-
ings of ACM Symposium on Applied Computing (SAC-2003), Computational Sciences Track,
A. Sandu editor, pp. 189–193, Association for Computing Machinery, New York, NY, 2003.
Conference dates and venue: March 13-18, 2003, Melbourne, Florida.
50. A. Sandu, D. Daescu and G.R. Carmichael: “Adjoint Data Assimilation for Aerosol Dy-
namics”. Proceedings of the Second International Conference on Air Pollution Modeling and
Simulation (APMS-2001), B. Sportisse (ed.), pp. 319–331, Springer 2002. Conference dates
and venue: April 9–13, 2001, Paris, France.
51. J. F. Duff, P. Merkey and A. Sandu: “Parallel Molecular Dynamics Using MPI on a Scyld-
style Beowulf Cluster”. Proceedings of the tenthth SIAM Conference on Parallel Processing
for Scientific Computing (PPSC-2001), pp. 272–279, Society for Industrial and Applied
Mathematics, Philadelphia, Pennsylvania, 2001. Conference dates and venue: March 12–14,
2001, Portsmouth, Virginia.
52. D. Daescu, G.R. Carmichael, and A. Sandu: “Adjoint Implementation of Rosenbrock Meth-
ods Applied to Variational Data Assimilation”. Millennium NATO/CCMS International
Technical Meeting on Air Pollution Modeling and its Applications, pp. 346–354, American
Meteorological Society, Boston, Massachusetts, 2000. Conference dates and venue: May 15–
19, 2000, Boulder, Colorado.
53. H. Shan, G.R. Carmichael, A. Sandu, and B. Hotchkis: “Exploring the Effects of Aerosols
and Photochemistry and Radiative Processes in the Troposphere Using Automatic Differen-
tiation”. Proceedings of the First International Conference on Air Pollution Modeling and
Simulation (APMS-1998), B. Sportisse (ed.), 12 pages, Springer, 1998. Conference dates and
venue: October 26–29, 1998, Champs-sur-Marne, France.
54. L.O. Jay, A. Sandu, F.A. Potra, and G.R. Carmichael: “Efficient Numerical Integration for
Atmospheric Chemistry”. Third International Congress on Industrial and Applied Mathemat-
ics (ICIAM-1995), Special issue of ZAMM (Journal of Applied Mathematics and Mechanics),
Issue 4: Applied Sciences, E. Kreuzer and O. Mahrenholtz (eds.), pp. 450–453, Akademie-
Verlag, Berlin, 1996. Conference dates and venue: July 1995, Hamburg, Germany.
Adrian Sandu – Resume 35
55. A. Sandu, G.R. Carmichael, and F.A. Potra: “Using Automatic Differentiation for Sensitivity
Analysis of Atmospheric Chemistry Models”. Theory and Applications of Sensitivity Analysis
of Model Output in Computer Simulation (SAMO 1995) Proceedings, Office for Official Pub-
lications of the European Communities, pp. 49–51, L–2985 Louxembourg, 1995. Conference
dates and venue: June 18–22, 1995, Belgirate, Italy.
Prefaces and Introductions
1. A. Sandu, L. T. Watson, and W.I. Thacker: “The High Performance Computing Symposium
(HPC 2010)”. Proceedings of the 2010 Spring Simulation Multiconference (SpringSim’10),
High Performance Computing Symposium (HPC-2010), A. Sandu, L. T. Watson, and W.I.
Thacker (eds.), 1 page, Society for Modeling and Simulation International, Vista, California,
2010.
2. A. Sandu, A. St-Cyr, and K. Evans: “Atmospheric and Oceanic Computational Sciences”. In-
ternational Conference on Computational Science 2009 (ICCS 2009), Springer Lecture Notes
on Computational Science, Vol. 5545, G. Allen, J. Nabrzyski, E. Seidel, G.D. van Albada, J.
Dongarra, and P.M.A. Sloot (eds.), pp. 241–242, Springer, 2009.
3. A. Sandu and Y. Cao: “Computational Sciences Track Editorial” Proceedings of ACM Sym-
posium on Applied Computing (SAC-2009), A. Sandu and Y. Cao (eds.) , pp. 947–948
Association for Computing Machinery, New York, NY, 2009.
4. A. Sandu: “Computational Sciences Track Editorial”, Proceedings of ACM Symposium on
Applied Computing (SAC-2004), A. Sandu (ed.), 1 page, Association for Computing Machin-
ery, New York, NY, 2004.
5. A. Sandu: “Computational Sciences Track Editorial”, Proceedings of ACM Symposium on
Applied Computing (SAC-2003), pp. 141–142, A. Sandu (ed.), Association for Computing
Machinery, New York, NY, 2003.
Conference Presentations, Posters, Work Accepted by Abstract
1. A. Sandu: “On the Matrix-Free Implementation of Rosenbrock-W Methods”. MS116: Prac-
tical Scientific Computing with High-order Methods. SIAM Conference on Computational
science and Engineering, abstract p. 192, Reno, Nevada, March 1–4, 2011.
2. A. Sandu: “ New Computational Tools for Chemical Data Assimilation”. MS141: Com-
bining Data Assimilation and Sensitivity in Air Quality Forecasting. SIAM Conference on
Computational science and Engineering, abstract p. 221, Reno, Nevada, March 1–4, 2011.
36 Adrian Sandu – Resume
3. H. Cheng* and A. Sandu: “Uncertainty Quantification and Reduction in Chemical Transport
Models”. SIAM Conference on Computational Science and Engineering (SIAM CSE 2009),
Miami, Florida, March 4–8, 2009.
4. E.M. Constantinescu* and A. Sandu: “Strong Stability Preserving General Linear Methods”.
SIAM Conference on Computational Science and Engineering (SIAM CSE 2009), Miami,
Florida, March 4–8, 2009.
5. A. Sandu and E.M. Constantinescu*: “Implicit-Explicit Extrapolation Methods for High Or-
der Time Integration”. SIAM Conference on Computational Science and Engineering (SIAM
CSE 2009), Miami, Florida, March 4–8, 2009.
6. E.M. Constantinescu* and A. Sandu: ‘Ensemble Based Data Assimilation with Chemical
Transport Models”. SIAM Conference on Computational Science and Engineering (SIAM
CSE 2009), Miami, Florida, March 4–8, 2009.
7. A. Sandu: “New Developments in Variational Chemical Data Assimilation”. SIAM Confer-
ence on Computational Science and Engineering (SIAM CSE 2009), Miami, Florida, March
4–8, 2009.
8. J.C. Linford* and A. Sandu: “Chemical Kinetics on Multicore SIMD Architectures”. Inter-
national Conference on Computational Science 2009 (ICCS 2009), Baton Rouge, Louisiana,
May 25–27, 2009.
9. E.M. Constantinescu* and A. Sandu: “Achieving very high accuracy for the time integra-
tion of multiscale processes using extrapolation methods”. Applied Mathematics Principal
Investigators Meeting (AMR 08), Argonne National Laboratory October 15-17, 2008.
10. A. Sandu and E.M. Constantinescu*: “Multirate, multimethod time stepping techniques for
PDEs”. Tenth Copper Mountain conference on iterative methods, abstract p. 70, Copper
Mountain, Colorado, April 6–12, 2008.
11. J.C. Linford* and A. Sandu: “Chemical Transport Models on Cell Platforms”. SIAM Parallel
Processing PP-08, March 13–18 2008, Atlanta, Georgia.
12. J.C. Linford* and A. Sandu: “Performance of Stabilized Explicit Time Integration Methods
For Parallel Air Quality Models”. Virginia Tech Graduate Research Symposium, March 28,
2007.
13. A. Sandu: “Computational Aspects of Data Assimilation”, SIAM Conference on Mathemat-
ical and Computational Issues in the Geosciences GS-07, Santa Fe, NM, March 18–22, 2007.
14. A. Sandu and E.M. Constantinescu*: “The 4D-Var Approach for Chemical Data Assimila-
tion”, SIAM Conference on Computational Sciences and Engineering CSE-07, Costa Mesa,
CA, February 18–22, 2007.
Adrian Sandu – Resume 37
15. E.M. Constantinescu* and A. Sandu: “The Ensemble Kalman Filter Approach for Chemical
Data Assimilation”, SIAM Conference on Computational Sciences and Engineering CSE-07,
Costa Mesa, CA, February 18–22, 2007.
16. K. Singh*, A. Sandu, and A. Hakami: “The Construction of CMAQ Adjoint”. International
Conference for Computational Science (ICCS-2007, acceptance rate 35%), Beijing, China,
May 27-30, 2007.
17. A. Sandu: “Chemical Data Assimilation – Fusing Models and Observations”. International
Conference on Atmospheric Chemical Mechanisms, University of California at Davis, Decem-
ber 6–8, 2006.
18. A. Hakami, J. Seinfeld, K. Singh*, A. Sandu, D.W. Byun, P. Percell, V. Coarfa: “Sattelite-
based inversion of NOx emissions using the adjoint of the CMAQ model”, Fifth Annual CMAS
Conference, Chapel Hill, NC, October 16–18, 2006.
19. (Poster) A. Hakami, J. Seinfeld, K. Singh*, A. Sandu, D.W. Byun, P. Percell, V. Coarfa:
“Development of Adjoint Sensitivity Analysis Capabilities for CMAQ”, Fifth Annual CMAS
Conference, Chapel Hill, NC, October 16–18, 2006.
20. K. Singh*, A. Sandu, A. Hakami, J. Seinfeld, D.W. Byun, P. Percell, V. Coarfa: “Numerical
Aspects of the CMAQ Adjoint”, Fifth Annual CMAS Conference, Chapel Hill, NC, October
16–18, 2006.
21. A. Sandu: “Recent Developments in Chemical Data Assimilation”, SIAM Annual Meeting
AN-06, Boston, MA, July 10–14, 2006.
22. G.R. Carmichael, T. Chai, Y. Tang, A. Sandu, D. Daescu, J. Seinfeld, P. Hess, and T.
Anderson: “Chemical Data Assimilation in Support of Air Quality Forecasts”, Eos Trans.
AGU, 86(52), Fall Meet. Suppl., Abstract No. A33F-01, AGU Fall Meeting 2005, Dec. 5–9,
2005.
23. A.Sandu, G.R. Carmichael, T. Chai, E.M. Constantinescu*, W. Liao*, and D. Daescu: “New
Developments in Chemical Data Assimilation: Computational Tools”, Eos Trans. AGU,
86(52), Fall Meet. Suppl., Abstract no. A33F-02 (invited), AGU Fall Meeting 2005, Dec.
5–9, 2005.
24. T. Chai, G.R. Carmichael, Y. Tang, A. Sandu, E.M. Constantinescu*, and J.S. Skorton:
“Uncertainty Analysis of STEM-2K1 Air Quality Forecasts for ICARTT”, Eos Trans. AGU,
86(52), Fall Meet. Suppl., Abstract No. A33F-03, AGU Fall Meeting 2005, Dec. 5–9, 2005.
25. (Poster) A. Sandu, E.M. Constantinescu*, P. Miehe*, L. Zheng*, W. Liao*: “Computational
Tools for Chemical Data Assimilation”, Fall Creek Falls Conference on Computational Sci-
ences, October 16-18, 2005.
38 Adrian Sandu – Resume
26. (Poster) A. Sandu, E.M. Constantinescu*, P. Miehe*, L. Zheng*, W. Liao*: “Computational
Tools for Chemical Data Assimilation”, NSF Workshop on Collaborations in Mathematical
Geosciences, Durham, NC, October 7-8, 2005.
27. A. Sandu, W. Liao*, D. Daescu, G.R. Carmichael, and T. Chai: “Adjoint Sensitivity Analysis
and Data Assimilation for Atmospheric Chemical Models”, SIAM Annual Meeting AN04,
Minisymposium MS49, Portland, OR, July 2004. Abstract p. 159.
28. D. Daescu and A. Sandu: “Time Dependent Sensitivity Analysis and Parameter Estimation
for Multiscale Systems”, SIAM Annual Meeting AN04, Minisymposium MS10, Portland, OR,
July 2004. Abstract p. 131.
29. A. Sandu, D. Daescu, G.R. Carmichael, and T. Chai: “Parallel Chemical Data Assimilation
in Atmospheric Models”, SIAM Conference on Parallel Processing PP04, Session CP4, San
Francisco, March 2004. Abstract p. 40.
30. C. Belwal*, A. Sandu, and E.M. Constantinescu*: “Parallel Adaptive Simulations of Regional
Air Quality”, SIAM Conference on Parallel Processing PP04, Session CP4, San Francisco,
March 2004. Abstract p. 40.
31. D. Daescu, G.R. Carmichael, and A. Sandu: “Assimilation of Chemical Measurements into
Atmospheric Chemistry Transport Models”, SIAM Conference on Mathematical and Com-
putational Issues in the Geosciences(GS03), Austin, Texas, March 2003.
32. A. Sandu and C. T. Borden*: “Modeling the Dynamics and Chemistry of Atmospheric
Aerosols”, SIAM Conference on Computational Sciences and Engineering CSE03, Session
CP29, San Diego, February 2003.
33. A. Sandu and D. Daescu: “Discrete Adjoints for Stiff Systems”, SIAM Conference on Com-
putational Sciences and Engineering CSE03, Session CP16, San Diego, February 2003.
34. C.T. Borden* and A. Sandu: “Numerical Treatment of Aerosol and Chemical Components in
Air Quality Models”, SIAM 50th Anniversary and 2002 Annual Meeting, Philadelphia, July
8-12, 2002, abstract p. 118.
35. D. Daescu and A. Sandu: “Adjoint Modeling For Chemical Reactions Mechanisms: Discrete
Versus Continuous” , 5th Workshop on Adjoint Applications in Dynamic Meteorology, Mount
Bethel, Pennsylvania, April 21-26, 2002.
36. A. Sandu and D. Daescu: “Automatic Generation Of Efficient Adjoints For Chemical Kinetic
Systems”, 5th Workshop on Adjoint Applications in Dynamic Meteorology, Mount Bethel,
Pennsylvania, April 21-26, 2002.
37. A. Sandu: “Numerical Solutions of Particle Dynamics Equation”, 2001 SIAM Annual Meet-
ing, pp. 139, San Diego, California, July 9-13, 2001.
Adrian Sandu – Resume 39
38. A. Sandu and C.T. Borden*: “Computational Methods For Atmospheric Aerosol Modeling”,
6th SIAM Conference on Mathematical and Computational Issues in the Geosciences (GS01),
pp. 34, Boulder, Colorado, June 11-14, 2001.
39. A. Sandu: “Preserving Natural Invariants in Numerical Chemical Kinetics”, IMA workshop
on Atmospheric Modeling, Minneapolis, March 14-19, 2000.
40. A. Sandu and T. Schlick: “Multiple Time Stepping with Langevin Dynamics”, Gordon Con-
ference on Computational Chemistry, Tilton School, Tilton, New Hampshire, June 28 - July
3, 1998.
41. A. Sandu, G.R. Carmichael, and F.A. Potra: “Coupled chemistry and Transport Computa-
tions in Air Quality Modeling”, International Conference on Air Pollution Modeling, Paris,
1998.
42. A. Sandu: “Fast Solvers For Atmospheric Chemistry”, REMAPE Conference, Copenhagen,
September 1996.
43. A. Sandu: “Efficient QSSA Integrators for Atmospheric Chemistry”, Midwest Numerical
Analysis Day, the University of Iowa, Iowa City, April 1995.
44. A. Sandu: “Reduced Order Robust Controllers”, International Conference on Informatics,
Plovdiv, Bulgaria, 1989.
45. A. Sandu: “About Stability in Bi- And Tri- Positional Control”, session for scientific papers
for undergraduate students, section “Regulators”, Bucharest, 1989.
46. A. Sandu and M. Weiss: “Kernel of an Operating System for Networks Performing Multi-
tasking”, session for scientific papers for undergraduate students, Sinaia, 1989.
47. M. Weiss and A. Sandu: “Order Reduction of a Hinfty Regulator”, session for scientific
papers for undergraduate students, section “Systems theory”, Bucharest, 1989.
48. C. Georgescu and A. Sandu: “Fliess Series and Non-Linear Applications”, session for scientific
papers for undergraduate students, section “Systems theory”, Bucharest, 1988.
Other (not published elsewhere)
1. A. Sandu and T.Y. Gou*: “Improvements of the 4D-Var CMAQ Model”. Report for the
Houston Advanced Research Council for project H98 (Task 4), and for the Texas Commission
on Environmental Quality, October 2009.
2. A. Sandu and K. Singh*: “Development of an Adjoint Model for CMAQ-4.5”. Report for
the Houston Advanced Research Council for project H45C, and for the Texas Commission on
Environmental Quality, March 2007.
40 Adrian Sandu – Resume
3. A. Sandu, L. Zhang*, and E.M. Constantinescu*: “Sensitivity Analysis and 4D-Var Data
Assimilation Part I: July 2004 Episode”. Report for the Houston Advanced Research Council
for project H59, and for the Texas Commission on Environmental Quality, March 2007.
4. A. Sandu, L. Zhang*, and E.M. Constantinescu*: “Sensitivity Analysis and 4D-Var Data
Assimilation Part II: June 2005 episode”. Report for the Houston Advanced Research Council
for project H59, and for the Texas Commission on Environmental Quality, March 2007.
5. A. Sandu and C.T. Borden*: “Discretizing Aerosol Dynamics with B-Splines”, Computer
Science Technical Report CSTR-01-09, Michigan Technological University, 2001.
6. A. Sandu: “Reduced Atmospheric Chemistry Models by Sensitivity Matrix Approach”. Com-
puter Science Technical Report CSTR-01-08, Michigan Technological University, 2001.
7. A. Sandu: “A Spectral Method for Solving Aerosol Dynamics”, Computer Science Technical
Report CSTR-01-04, Michigan Technological University, 2001.
8. A. Bamberger, Z. B. Dabaghi, E. Billette, A. Jaecker, P. Quandalle, and A. Sandu: “Mathe-
matical and Numerical Analysis to Reduce Atmospheric Chemical Model in Transport Con-
vection Problem”, Institut Francais du Petrole report no 43721, 1997.
9. V. Damian-Iordache, A. Sandu, F.A. Potra, G.R. Carmichael, and M. Damian-Iordache:
“Kpp - A Symbolic Preprocessor For Chemical Kinetics - User’s Guide”, Center for Global
and Regional Environmental Research, The University of Iowa, 1995.
Books Edited
1. Proceedings of the 2010 Spring Simulation Multiconference, High Performance Computing
Symposium, A. Sandu, L.T. Watson, and W. Thacker editors, Society for Modeling and
Simulation International, Vista, California, 2010.
2. Proceedings of the 2009 Spring Simulation Multiconference, High Performance Computing
Symposium, C. Ribbens, A. Sandu, W.I. Thacker editors, Society for Modeling and Simulation
International, Vista, California, 2009.
3. Proceedings of the 2009 ACM symposium on Applied Computing, Computational Sciences
Track, A. Sandu and Y, Cao editors, 2347 pages,ISBN:978-1-60558-166-8, Association for
Computing Machinery, New York, NY, 2009.
4. Proceedings of the 2008 Spring Simulation Multiconference, High Performance Computing
Symposium, M. Sosonkina, T. Haupt, C. Shaffer, and A. Sandu editors, Society for Modeling
and Simulation International, Vista, California, 2008.
Adrian Sandu – Resume 41
5. Proceedings of the 2004 ACM symposium on Applied Computing, Computational Sciences
Track, A. Sandu editor, 1733 pages, ISBN:1-58113-812-1, Association for Computing Machin-
ery, New York, NY, 2004.
6. Proceedings of the 2003 ACM symposium on Applied Computing, Computational Sciences
Track, A. Sandu editor, 1268 pages, ISBN:1-58113-624-2, Association for Computing Machin-
ery, New York, NY, 2003.
Invited Presentations
1. Workshop Verwer65 on numerical integration of ODEs and PDEs. Amsterdam, January
14-19, 2011l
2. NASA Goddard, September 2010.
3. Foothillls Lab, National Center for Atmospheric Research, March 2010.
4. University of Colorado, Computer Science Department, March 2010.
5. Colorado State University, Mathematics Department, February 2010.
6. Data Assimilation Workshop at NOAA, Boulder, Colorado, December 2009.
7. WRF-Chem Workshop, Boulder, Colorado, January 2009.
8. SANDIA CSRI Workshop on large Scale Inverse Problems and Quantification of Uncertainty,
Santa Fe, September 2007.
9. NASA Langley (Dynamics and Control Division), July 12, 2007.
10. Harvard University – Third GEOS-Chem users meeting, April 11, 2007.
11. NASA Langley (Atmospheric Chemistry Division), March 28, 2007.
12. International Conference on Atmospheric Chemical Mechanisms, University of California at
Davis, December 6–8, 2006.
13. NASA JPL (TES group science meeting), November 13, 2006.
14. NASA Langley (Control and Dynamics Division), October 24, 2006.
15. Atmospheric Chemistry Modeling Group, Harvard University, May 19, 2006.
16. Mathematics and Statistics Department, Portland State University, April 12-15, 2006.
17. Center for Advanced Air Quality Studies, University of Houston, Feb. 14-17, 2006.
42 Adrian Sandu – Resume
18. Jet Propulsion Laboratory, February 7-9, 2006.
19. NSF DDDAS Workshop, January 19-20, 2006.
20. Workshop on Chemical Data Assimilation and Data Needs for Air Quality Forecasting, Silver
Spring, MD, June 20-22, 2005.
21. Florida State University, Feb. 20, 2005.
22. Oak Ridge National Laboratory, Nov. 14, 2004.
23. Environmental Protection Agency, Nov. 7, 2004.
24. National Institute of Science and Technology, May 25, 2004.
25. Mechanical Engineering Department, Rensselaer Polytechnic Institute, Feb. 6, 2004.
26. Computer Science Department, University of Illinois, 2003.
27. Computer Science Department, Clemson University, 2003.
28. Computer Science Department, University of Missouri, Columbia, 2002 .
29. Computer Science Department, Oklahoma State University, 2002.
30. Mathematics and Statistics Department, University of Maryland Baltimore County, April
2001.
31. TASC symposium, the Center for Mathematics and Computer Science (CWI), Amsterdam,
1996.
32. Institut Francais du Petrole, Paris, September 1995.
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