Nyan Myo NaingApplication for Part-time Teaching Position

Email : nyannmn@gmail.com Mobile : 65-82019557 Date of Birth : 20/08/1974 Nationality : Myanmar Singapore citizenMartial Status : MarriedLanguages : Written – English, Myanmar Spoken – English, Myanmar

CURRENT JOB POSITIONPrincipal Engineer (Computational Software) (06/2009 – present)Bilcare Technologies Singapore PTE LTD

PREVIOUS JOB POSITIONResearch Fellow (05/2006- 06/2009) National University of Singapore

PROFESSIONAL ACTIVITIESJournal Reviewer: Journal of Biomechanics; IEEE Transactions on Engineering in Medicine and Biology SocietyInvolve in organizing a conference: iMEMS-2006

INVITED LECTURES & TEACHING EXPERIENCESGuest lecture 2008-1st Semester: MCH5004 (Mechatronic System Design) (MSc-Mechatronics) Guest lecture: ME4284 (Micro Sensors & Micro Actuators) (Final year-Mechanical Engineering) Teaching assistant 2004-2006: ME2103 (Engineering Visualization & Modelling) (Teaching tutorials and marking) Private tutor 1998-2001: (Taught Electronics Engineering Diploma Students) (Developed course materials and taught)

Project supervision & consultation to final year project students in Mechanical Dept: Human motion analysis in fall and daily activities (2005-2006)Analysis of human motion using high speed camera and Vicon motion system (2007-2008)Fall injury minimization device (2007-2008)Analysis of COP & COM relationships in daily activities and fall (2008-2009)

SUMMARY

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More than seven years of research & development experiences in signal processing, sensor interfacing, multisensory information processing and software/hardware developments

In-depth understanding of signal processing (time, frequency and time-frequency domain) in theory and real algorithm development

Experience in software and hardware developments of Wireless Body Area Network (WBAN)-based wearable embedded systems

Experience in writing programs in C, C++, nesC/TinyOS, MATLAB and assembly codes for embedded system and embedded Linux system (PXA255 XScale processor) in Windows and Linux OS (Kernel level programming)

Experience in programming for middleware layer in WBAN to bridge applications to the underlying networking/RTOS protocol stack using nesC language

Experience in multithreaded programming using POSIX threads

EDUCATIONAL QUALIFICATIONS

PhD (National University of Singapore) (2002-2006)

MSc (Mechatronics) (National University of Singapore) (2001-2002)I did not finish this MSc course as I was upgraded to PhD course under scholarship

Bachelor of Engineering (Electronics)Passed with Honor and position 4 out of 100 studentsYangon Technological University, Myanmar (1993 - 2000)

WORKING EXPERIENCES

PhD project: Analysis and detection of human motion in time-frequency domain

Mathematical algorithm and Firmware design/development of wearable embedded system for online detection of human daily activities and falls using motion sensors. Wavelet time-frequency analysis is applied in detection.

Previous projects and Job scopes under Research Fellow Position:

Mathematical algorithm and Firmware development for MEMSWear- Mission Critical Wearable Embedded Systems for Elderly Care

The goal of the project is to build a Wireless Body Area Network (WBAN)-based wearable embedded system in creating reliable, light weight and smart application which can predict and prevent falls among the elderly and minimize injuries where a fall is inevitable. Motion detection sensors (Accelerometers and Gyroscopes) are used for detection and prediction. Initially, PDA was used as a gateway for data receiving, processing and actuation of feedback system. Then, it is replaced with an embedded data processing unit (PXA255 processor) for lower power consumption.

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Mathematical algorithm and Firmware development for Wearable Bio- monitoring system

The goal of the project is to build a wearable bio-monitoring system that can continuously monitor the vital signs (ECG, SpO2 and Blood pressure) of human being. Vital signs are recorded in a data storage unit. If vital sign-related sentinel event happens or a request from the health care unit occurs, intelligent unit inside the system will transfer vital signs records and critical indices immediately through the wearer’s personal communication gadgets such as PDA or hand phone. In vital signs measurement, continuous, noninvasive and cuff-less blood pressure measurement in which blood pressure is inferred from ECG and SpO2

data is successfully developed. Support Vector Machine is used in the intelligent unit for a decision making.

Current job scopes at “Bilcare Technologies Singapore” as Principal Engineer(1) Conceptualize and develop software solutions complying to product

specifications(2) Writing control programs for production line(3) Swipe fingerprint matching algorithm development(4) Provide software solutions for business development activities

Proposal writing experience The current project “MEMSWear- Mission Critical Wearable Embedded Systems for Elderly Care” was prepared together with the Principal Investigator and S$700,000 was granted for the project. (Funding agency: Agency for Science Technology and Research, Science & Engineering Research Council) Theme proposal “Assistive & Rehabilitation Technology for Elderly Care” was prepared for the Principal Investigator and submitted to Science & Engineering Research Council.

AWARD / ACHIEVEMENTSAward: National University of Singapore Research Scholarship (2002-2006)

Achievements: US PATENT APPLICATION NO 12/523,808INTERNATIONAL APPLICATION NO PCT/SG2008/000027 FILED ON 22 JANUARY 2008SG PATENT APPLICATION NO 200904852-1Invention : Faint Fall Onset Detection SystemInventors : Myo Naing NYAN; Eng Hock Francis TAY; Euan MURUGASUInstitutions : National University of Singapore & Singapore General Hospital

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[1] Nyan Myo Naing, Francis E.H. Tay, K. H. W. Seah. Dynamic Pattern Recognition for Signal Identification using Eigenvectors. Proceedings of the 22nd Southern Biomedical Engineering Conference, 26-28 Sep 2003, pp 77.

[2] Nyan Myo Naing, Francis E.H. Tay, K. H. W. Seah. Signal identification based on an eigenvector approach. System Theory, 2004. Proceedings of the Thirty-Sixth Southeastern Symposium on 2004 Page(s):137 – 140.

[3] Myo Naing Nyan, Francis Eng Hock Tay, Teck Hong Koh, Yih Yiow Sitoh, Kwong Luck Tan. Location and sensitivity comparison of MEMS accelerometers in signal identification for ambulatory monitoring. Electronic Components and Technology, 2004. ECTC '04. Proceedings, Volume 1, 1-4 June 2004 Page(s):956 - 960.

[4] Nyan Myo Naing, Francis E.H. Tay, K. H. W. Seah. Segment extraction using wavelet multiresolution analysis for human activities and fall incidents monitoring system. Proceedings of the 2nd international Conference on Smart homes and Health telematics 2004, pp 177-185.

[5] F. E. H. Tay, M. N. Nyan, T. H. Koh, K. H. W. Seah and Y. Y. Sitoh, 2005. Smart Shirt That Can Call for Help after a Fall. International Journal of Software Engineering and Knowledge Engineering, Volume 15 (2), pp 183-188.

[6] F. E. H. Tay, M. N. Nyan, K. H. W. Seah, 2005. MEMSWear: Biomonitoring devices that you can wear! Accepted for publication in Biomedical Micro devices Journal.

[7] M. N. Nyan; F. E. H. Tay; A.W.Y. Tan; K. H. W. Seah; Y. Y. SITOH; 2005. Classification of Gait Patterns in the time-frequency domain. Journal of Biomechanics, 39, pp 2647-2656.

[8] M. N. Nyan; F. E. H. Tay; A. W. Y. Tan; K. H. W. Seah; 2005. Distinguishing fall activities from normal activities by angular rate characteristics and high speed camera characterization. Medical Engineering and Physics, 28, pp 842-849.

[9] M. N. NYAN; F. E. H. Tay; K. H. W. Seah; N. H. Ismail; 2006. Detection of daily physical activities in the time-frequency domain. Medical and Biological Engineering and Computing Journal, 6(4), pp 429-446.

[10] Francis E.H. Tay; M. N. Nyan; D. G. Guo; C. P. Ng; L. Xu; C. T. Tan; 2006. MEMSWear - Biomonitoring System in a Body Area Network (BAN). Proceedings of the 2006 International Semiconductor Conference, 27-29 Sep 2006, pp 207-214.

[11] M. N. Nyan; F. E. H. Tay; D. G. Guo; L. Xu; K. L. Yap, 2007. A Novel System for Elderly Fall Safety using Body Area Network. 2nd International Conference on Body Area Networks, 11-13 June, 2007, Florence (Italy).

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[12] M. N. Nyan; Francis E. H. Tay; D. G. Guo; L. Xu; L. Yu; Matthew Z. E. Mah; K. L. Yap. Distinguishing fall activities from normal activities using wearable inertial sensors. Accepted for presentation in The 2nd International Conference on Sensing Technology (ICST 2007), 26-28 November, 2007, Palmerston North, New Zealand.

[13] M. N. Nyan; F. E. H. Tay; Matthew ZE Mah; 2008. Application of motion analysis system in pre-impact fall detection. Journal of Biomechanics, 41(10), 2297-2304.

[14] M. N. Nyan; Francis E. H. Tay; E. Murugasu; 2007. A wearable system for pre-impact fall detection. Submitted to Journal of Biomechanics for publication. The paper has been accepted with some minor modifications.

[15] D G Guo, Francis E H Tay, L M Yu, L. Xu, M N Nyan, F W Chong, K L Yap, B Xu, 2008. A Wearable BSN-based ECG-recording System Using Micromachined Electrode for Continuous Arrhythmia Monitoring. Proceedings of the 5th international workshop on wearable and implantable body sensor networks (BSN 2008), pp 41-44.

[16] L Xu, Francis E H Tay, D G Guo, L M Yu, M N Nyan, F W Chong, K L Yap, B Xu, 2008. An Integrated Wrist-worn Routine Monitoring System for the Elderly using BSN. Proceedings of the 5th international workshop on wearable and implantable body sensor networks (BSN 2008), pp 45-48.

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