Hema Chandrasekaran

Biography

Education

• Ph.D., Electrical Engineering, The University of Texas at Arlington, 2000.
• M.S., Electrical Engineering, The University of Texas at Arlington, 1994.
• B. Tech., Madras Institute of Technology, India, 1985.

Professional Experience

June 2004 - Present                              SETI Institute, Mountain View, CA
Senior Scientific Programmer               Kepler Science Operations Center, NASA Ames Research Center.

• Design and prototype critical signal processing algorithm components of the Kepler science processing pipeline
• Write detailed software design specifications and implement the pipeline algorithms in MATLAB and C++

Dec 2001- Dec 2002                              Trafficmaster USA, Inc., San Ramon, CA
Systems Engineer

• Designed and implemented a traffic data synthesis system consisting of a suite of algorithms in MATLAB and Visual C++. In particular, implemented Kalman smoothing algorithm on continuous locations of a detected mobile phone; this resulted in reducing the RMS error of position fixes and thus bringing accuracy of position fixes under compliance with FCC E911 mandate.
• Devised and implemented algorithms to snap detected mobile phone tracks to traffic links (sections of freeway monitored) and generate aggregate real time link speeds; snapping mobile phone position fixes to tracks eliminated outliers in position fix.

May 2000 - Dec 2001                             U.S. Wireless Corporation, San Ramon, CA
Systems Engineer

• Design, test, benchmark, and implement algorithms in MATLAB and Visual C++ environments to improve the performance of various aspects of the wireless location system.
• Improved the speed of real time mobile location by an order of magnitude by redesigning key portions of the software. In particular,
• Reduced time taken for a single location fix from 1 second to 20 millisecond.
• Designed a scheduling algorithm to improve the capacity of the mobile phone location system.

• Graduate research /teaching assistant, University of Texas at Arlington (1993-1999).
• Freelance programmer (1987-1992, United Arab Emirates).
• Project Associate (1985-1986, Signal Processing Laboratory, Indian Institute of Technology, Madras, India).

Publications       Course Work      

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Publications

• Hema Chandrasekaran, Jiang Li, W.H. Delashmit, P.L. Narasimha, Changhua Yu, and Michael T. Manry, “Convergent design of piecewise linear neural networks“ Neurocomputing, Vol. 70, No. 4-6, pp. 1022-1039, January 2007.
• Hema Chandrasekaran,Hung-Han Chen, and Michael T. Manry, “Pruning of basis functions in nonlinear approximators,” Neurocomputing, Vol. 34, No. 1-4, pp. 29-53, 2000.
• Hung-Han Chen, Michael T. Manry, and Hema Chandrasekaran, “A neural network training algorithm utilizing multiple sets of linear equations,” Neurocomputing, Vol. 25, No. 1-3, pp. 55-72, April 1999.
• Hema Chandrasekaran and Michael T. Manry, “Convergent Design of a Piecewise Linear Neural Network,” IJCNN’99, Proceedings of the International Joint Conference on Neural Networks, Vol.2, pp.1339-1344, July 1999.
• Iyab I. Sakhnini, Michael T. Manry, and   Hema Chandrasekaran, “Iterative Improvement of Trigonometric Networks,” IJCNN '99, Proceedings of the International Joint Conference on Neural Networks, Vol.2,  pp. a-13 -a-18, July 1999.
• Hema Chandrasekaran, Kyung K. Kim, and Michael T. Manry, “Sizing of the multilayer perceptron via modular networks,” Neural Networks for Signal Processing IX, Proceedings of the 1999 IEEE Signal Processing Society Workshop,  pp. 215-224, Aug 1999.
• Michael   T. Manry, Cheng-Hsiung Hsieh, and Hema Chandrasekaran, “Near optimal flight load synthesis using neural nets,” Neural Networks for Signal Processing  IX, Proceedings of the 1999 IEEE Signal Processing Society Workshop,  pp. 535-544, Aug 1999.
• Michael   T. Manry,  Hema Chandrasekaran, and Cheng-Hsiung Hsieh, “Multilayer perceptrons,” a book chapter in Handbook of Neural Network Signal Processing, Editors: Y.H. Hu and J.N.Hwang, CRC Press, Sept. 2001.
• Hema Chandrasekaran, “Analysis and convergent design of piecewise linear networks,”   Ph.D. dissertation, The University of Texas at Arlington, May 2000.

Course Work at UT Arlington (M.S. and Ph.D.)  GPA 3.82

Signal Processing

EE 5302        RANDOM SIGNALS AND NOISE
EE 5351        DIGITAL SIGNAL PROCESSING
EE 5352        STATISTICAL SIGNAL PROCESSING
EE 5356        DIGITAL IMAGE PROCESSING
EE 5357        NONLINEAR IMAGE PROCESSING
EE 6351        NEURAL NETWORKS
HSC 5383      MAGNETIC RESONANCE IMAGING (@ UT SOUTHWESTERN)

Communications

EE 5362        DIGITAL COMMUNICATIONS
EE 6362        ADVANCED DIGITAL COMMUNICATIONS
EE 5365        FIBER OPTIC TRANSMISSION SYSTEMS
EE 6365        ADVANCED FIBER OPTICS SYSTEMS
EE 5368        WIRELESS COMMUNICATION SYSTEMS
EE 5360        DATA COMMUNICATION ENGINEERING

Microprocessors and Digital Systems

EE 5313        MICROPROCESSOR SYSTEMS
EE 5314        ADVANCED MICROPROCESSORS
EE 5315        SPECIAL PURPOSE MICROPROCESSORS
EE 4334        PROGRAMMABLE LOGIC DESIGN

Mathematics

MATH 5338   NUMERICAL ANALYSIS I
MATH 5339   NUMERICAL ANALYSIS II
MATH 5333   LINEAR ALGEBRA & MATRICES

Computer Science

CSE 5310      DATA STRUCTURES
CSE 5311      DESIGN & ANALYSIS OF ALGORITHMS