pancham shukla ra and phd student communications and signal processing group

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An Attempt to Extrapolate as a Research Fellow in Data Fusion Industrial multi-partner collaborative project - TATEM Pancham Shukla RA and PhD student Communications and Signal Processing Group Imperial College London ADSIP, UCLAN, Preston, 24 July 2006

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An Attempt to Extrapolate as a Research Fellow in Data Fusion Industrial multi-partner collaborative project - TATEM. Pancham Shukla RA and PhD student Communications and Signal Processing Group Imperial College London. ADSIP, UCLAN, Preston, 24 July 2006. Attributes. - PowerPoint PPT Presentation

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Page 1: Pancham Shukla RA and PhD student  Communications and Signal Processing Group

An Attempt to Extrapolate as a Research Fellow in Data Fusion

Industrial multi-partner collaborative project - TATEM

Pancham ShuklaRA and PhD student

Communications and Signal Processing GroupImperial College London

ADSIP, UCLAN, Preston, 24 July 2006

Page 2: Pancham Shukla RA and PhD student  Communications and Signal Processing Group

Attributes

□ Education & Qualifications□ Research & Teaching Experience

- Signal/image processing research

- Mathematical modelling, Scientific computing- Technical communication- Teaching, Project supervision, Marking- Admin. responsibilities, Memberships, Team work etc.

□ Conclusion- A fusion perspective

Page 3: Pancham Shukla RA and PhD student  Communications and Signal Processing Group

□ PhD (Electrical & Electronic) Will submit thesis in Oct 2006Imperial College LondonSampling schemes for multidimensional nonbandlimited signals with applications in super-resolution and photogrammetry

□ MPhil (Electronic & Electrical) Oct 2003University of Strathclyde, GlasgowComplex wavelet transforms and their applications (Restoration and Feature extraction)

□ ME (Electronic & Computer) Aug 2001Indian Space Research Organization & Sardar Patel University, Gujarat, India Signal Processing for air-borne synthetic aperture radar (ASAR) (Microwave remote sensing: Point target simulations, DSP implementation)

□ BE (Electronic)* Oct 1995Sardar Patel University, Gujarat, IndiaProject: Micro-controller (8751) based check-weighing scale

Education & Qualifications

* NDT: Also studied courses on Materials science, Engineering mechanics, Instrumentation etc.

Page 4: Pancham Shukla RA and PhD student  Communications and Signal Processing Group

□ Research Assistant Nov 03 – Present(EPSRC/DTC funded)

Research:- Novel signal approximation methods using wavelet theory- Sampling schemes for multidimensional nonbandlimited signals (FRI) using Nonlinear estimation, Inverse systems, Lattice theory, and Radon transform - Algorithms for Shape reconstruction, Feature extraction, Super-resolution- Multi-camera system (Motion estimation and Object segmentation)- Publication, Paper review (e.g. ICIP05, ICIP06)- Student member of IEEE, IET

Teaching:- BCs/Msc Project supervision- Study group leader for UG course on communication systems- Paper correction- Group seminar scheduling

Research & Teaching Experience

Page 5: Pancham Shukla RA and PhD student  Communications and Signal Processing Group

Sampling and perfect reconstruction of signals with Finite Rate of Innovation (FRI) [ Vetterli et al 02]

Signals: Bilevel-convex polygons, distribution of Diracs, 2-D polynomials with polygonal boundaries, quadrature domains (circles, ellipses, cardioids etc).

Sampling kernels: Any function that reproduce polynomials (B-splines, and scaling functions from wavelet theory).

Reconstruction: Annihilating fitter method (Prony’s method), Complex-moments, Lattice theory (directional derivatives), Radon transform.

Current Research

*Perfect reconstruction ?

Signal Samples

Kernel

Page 6: Pancham Shukla RA and PhD student  Communications and Signal Processing Group

Current ResearchPolynomial of degree 0

Polynomial of degree 1 along x

Polynomial of degree 1 along y

B-spline of degree 3

Complex-moments and annihilating filter method

Polygons Samples

Reconstructed corner points (marked with +)

Polygonal lines

Circle

Complex-moments

Page 7: Pancham Shukla RA and PhD student  Communications and Signal Processing Group

Current Research

SamplesPolygon

After first pair of directional difference on samples

After third pair

After second pair

Pair of d

irecti

onal

difference

sLocal reconstruction

Lattice theory (Directional derivatives and differences)

Radon transform

Page 8: Pancham Shukla RA and PhD student  Communications and Signal Processing Group

Current ResearchMulti-camera system (18 synchronized firewire cameras)

Multi-view image analysis: Motion estimation, Object segmentation etc.

Page 9: Pancham Shukla RA and PhD student  Communications and Signal Processing Group

□ Teaching and Research Assistant Oct 02 – Oct 03

Research & Teaching Experience

Research: - Wavelets and Complex wavelets for Feature detection, Signal/image enhancement, Multimodal fusion, and Audio restoration.- Research proposal writing.

Teaching:- Module leader for signal processing tutorials and laboratory sessions, - MSc project supervision, Marking

Page 10: Pancham Shukla RA and PhD student  Communications and Signal Processing Group

□ University Researcher Jan 01 – Aug 01Ahmedabad, IndiaRadar signal processing for ASAR microwave remote sensing: point target simulation algorithms in Matlab, real-time DSP implementation with ADSP 21020

□ Lecturer Apr 96 – Oct 02 GCET, BVM, India

Research: - Student projects- Visit/training at national institutes (ISRO, PRL, IPR, IIT etc)

Teaching:- Undergraduate and postgraduate teaching, Examiner- Project supervision, Laboratory development- Course development, Member of board of studies- Workshops, Refreshers courses- College magazine

Admin: Time table committee, Credit system, Industrial placementMemberships: IEEE student branch coordinator, member of ISTE, IETE, CSI

Research & Teaching Experience

Page 11: Pancham Shukla RA and PhD student  Communications and Signal Processing Group

Conclusion: A Fusion Perspective

Data fusion researcher ?

Attribute assimilatio

n

Trained signal/image processing researcher

FourierWavelets

FusionShapes Statistics

Features

Fuzzy

Personal

Admin.Proj. Mgmt.

Team

TimeMotivation

Domain: Temporal, spatial, transform, multimodal.

Level: Low, intermediate, high.

Decision: Voting, Neural, Bayesian, Fuzzy.

SkillsTeaching

ComputingTechnical writing

Paper review Presentation

Eager to learn new things

NDT ?

Thank you