Narayan Kovvali

Assistant Research Professor
School of Electrical, Computer, and Energy Engineering
Ira A. Fulton Schools of Engineering
Arizona State University

GWC 422
650 E. Tyler Mall
Tempe, Arizona 85287.
Email: Narayan dot Kovvali at asu dot edu

Curriculum Vitae

PDF

Education

Ph.D., Electrical Engineering
Duke University, Durham, North Carolina, United States.              December 2005

M.S., Electrical Engineering
Duke University, Durham, North Carolina, United States.              September 2002

B.Tech., Electrical Engineering
Indian Institute of Technology, Kharagpur, India.          July 2000

Research Interests

• Statistical signal processing and time-frequency analysis
• Detection and estimation theory, stochastic filtering and tracking
• Bayesian data analysis - statistical modeling, learning, and Bayesian inference
• Multi-sensor data fusion
• Pattern recognition and classification
• Monte Carlo methods
• Scientific computing
• Convex optimization
• Compressive sensing

Publications

• D. Chakraborty and N. Kovvali, ``A Measure of Difference between Discrete Sample Sets,'' 45th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, California, November 2011, pp. 1908-1912.
• A. Malin, J. J. Zhang, B. Chakraborty, N. Kovvali, A. Papandreou-Suppappola, S. Johnston, and P. Stafford, ``Adaptive Learning of Immunosignaturing Peptide Array Features for Biothreat Detection and Classification,'' 45th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, California, November 2011, pp. 1883-1887.
• S. Edla, N. Kovvali, and A. Papandreou-Suppappola, ``Electrocardiogram Signal Modeling and Estimation Using the Interacting Multiple Model Particle Filtering,'' 45th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, California, November 2011, pp. 471-475.
• L. Miao, J. J. Zhang, C. Chakrabarti, A. Papandreou-Suppappola, N. Kovvali, ``Real-time closed-loop tracking of an unknown number of neural sources using probability hypothesis density particle filtering,'' 2011 IEEE Workshop on Signal Processing Systems (SiPS), Beirut, Lebanon, October 2011, pp. 367-372.
• N. Kovvali, ``Theory and Applications of Gaussian Quadrature Methods''. In A. Spanias, editor, Synthesis Lectures on Algorithms and Software in Engineering, Morgan & Claypool Publishers, vol. 3, no. 2, pp. 1-65, September 2011.
• D. Chakraborty, N. Kovvali, B. Chakraborty, A. Papandreou-Suppappola, and A. Chattopadhyay, ``Structural Damage Detection with Insufficient Data using Transfer Learning Techniques,'' Proc. of SPIE, vol. 7981, p. 798147, 2011.
• W. Zhou, N. Kovvali, A. Papandreou-Suppappola, A. Chattopadhyay, and P. Peralta, ``Adaptive Measurement Selection for Progressive Damage Estimation,'' Proc. of SPIE, vol. 7981, p. 798127, 2011.
• S. Edla, J. J. Zhang, J. Spanias, N. Kovvali, A. Papandreou-Suppappola, and C. Chakrabarti, ``Adaptive Parameter Estimation of Cardiovascular Signals using Sequential Bayesian Techniques,'' 44th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, California, November 2010, pp. 374-378.
• L.Wayne, K. Krishnan, S. DiGiacomo, N. Kovvali, P. Peralta, S. N. Luo, S. Greenfield, D. Byler, D. Paisley, K. J. McClellan, A. Koskelo and R. Dickerson, ``Statistics of weak grain boundaries for spall damage in polycrystalline copper,'' Scripta Materialia, vol. 63, no. 11, pp. 1065–1068, November 2010.
• W. Zhou, N. Kovvali, A. Papandreou-Suppappola, and A. Chattopadhyay, ``Sensor Optimization for Progressive Damage Diagnosis in Complex Structures,'' Proc. of SPIE, vol. 7650, p. 76502S, 2010.
• D. Chakraborty, N. Kovvali, A. Papandreou-Suppappola, and A. Chattopadhyay, ``Active Learning Data Selection for Adaptive Online Structural Damage Estimation,'' Proc. of SPIE, vol. 7649, p. 764915, 2010.
• N. Kovvali, C. Prior, K. Cizek, M. Galik, A. Diaz, E. Forzani, A. Cagan, J. Wang, N. Tao, D. Cochran, A. Spanias, and R. Tsui, ``Least-Squares based Feature Extraction and Sensor Fusion for Explosive Detection,'' 35th IEEE International Conference on Acoustics, Speech and Signal Processing, Dallas, Texas, 2010, pp. 2918-2921.
• A. Chattopadhyay, A. Papandreou-Suppappola, P. Peralta, and N. Kovvali, ``A Multidisciplinary Approach to Structural Health Monitoring and Damage Prognosis of Aerospace Hotspots,'' The Aeronautical Journal, invited paper, vol. 113, no. 1150, January 2010.
• D. Chakraborty, N. Kovvali, J. Zhang, A. Papandreou-Suppappola, and A. Chattopadhyay, ``Adaptive Learning for Damage Classification in Structural Health Monitoring,'' 43rd Asilomar Conference on Signals, Systems and Computers, Pacific Grove, California, November 2009, pp. 1678-1682.
• J. Zhang, W. Zhou, N. Kovvali, A. Papandreou-Suppappola, and A. Chattopadhyay, ``On the Use of the Posterior Cramér-Rao Lower Bound for Damage Estimation in Structural Health Management,'' ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, Oxnard, California, 2009.
• W. Zhou, N. Kovvali, A. Papandreou-Suppappola, P. Peralta, and A. Chattopadhyay, ``Progressive Damage Estimation using Sequential Monte Carlo Techniques,'' 7th International Workshop on Structural Health Monitoring, Stanford, California, 2009.
• L. Channels, D. Chakraborty, B. Butrym, N. Kovvali, J. Spicer, A. Papandreou-Suppappola, M. Afshari, D. Inman, and A. Chattopadhyay, ``A Comparative Study of Fatigue Damage Sensing in Aluminum Alloys using Electrical Impedance and Laser Ultrasonic Methods,'' Proc. of SPIE, vol. 7295, p. 72950Q, 2009.
• W. Zhou, N. Kovvali, W. Reynolds, A. Papandreou-Suppappola, A. Chattopadhyay, and D. Cochran, ``On the Use of Hidden Markov Modeling and Time-frequency Features for Damage Classification in Composite Structures,'' Journal of Intelligent Material Systems and Structures, Special Issue on Information Management in Structural Health Monitoring, vol. 20, pp. 1271-1288, July 2009.
• D. Chakraborty, N. Kovvali, J. Wei, A. Papandreou-Suppappola, D. Cochran, and A. Chattopadhyay, ``Damage Classification Structural Health Monitoring in Bolted Structures Using Time-frequency Techniques,'' Journal of Intelligent Material Systems and Structures, Special Issue on Information Management in Structural Health Monitoring, vol. 20, pp. 1289-1305, July 2009.
• D. Chakraborty, W. Zhou, D. Simon, N. Kovvali, A. Papandreou-Suppappola, D. Cochran, and A. Chattopadhyay, ``Time-Frequency Methods For Structural Health Monitoring,'' Sensor, Signal and Information Processing (SenSIP) Workshop, Sedona, Arizona, May 2008.
• L. Channels, D. Chakraborty, D. Simon, N. Kovvali, J. Spicer, A. Papandreou-Suppappola, D. Cochran, P. Peralta, and A. Chattopadhyay, ``Ultrasonic sensing and time-frequency analysis for detecting plastic deformation in an aluminum plate,'' Proc. of SPIE, vol. 6926, p. 69260P, 2008.
• W. Zhou, W. D. Reynolds, A. Moncada, N. Kovvali, A. Chattopadhyay, A. Papandreou-Suppappola, and D. Cochran, ``Sensor fusion and damage classification in composite materials,'' Proc. of SPIE, vol. 6926, p. 69260N, 2008.
• D. Chakraborty, S. Soni, J. Wei, N. Kovvali, A. Papandreou-Suppappola, D. Cochran, and A. Chattopadhyay, ``Physics based modeling for time-frequency damage classification,'' Proc. of SPIE, vol. 6926, p. 69260M, 2008.
• N. Kovvali, W. Lin, and L. Carin, ``Hybrid Prolate Pseudospectral Methods on Chebyshev and Legendre Grids I - A Preview''. In F. Liu, G. N'Guerekata et al., editors, Discrete and Computational Mathematics, pp. 121-137, Nova Science Publishers, New York, 2008.
• W. Zhou, D. Chakraborty, N. Kovvali, A. Papandreou-Suppappola, D. Cochran, and A. Chattopadhyay, ``Damage classification for structural health monitoring using time-frequency feature extraction and continuous hidden Markov models,'' 41st Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, November 2007, pp. 848-852.
• W. Zhou, N. Kovvali, A. Papandreou-Suppappola, D. Cochran, and A. Chattopadhyay, ``Hidden Markov model based classification of structural damage,'' Proc. of SPIE, vol. 6523, p. 652311, 2007.
• N. Kovvali, S. Das, D. Chakraborty, D. Cochran, A. Papandreou-Suppapola, and A. Chattopadhyay, ``Time-frequency based classification of structural damage,'' 48th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Honolulu, Hawaii, April 2007, pp. 2047-2055.
• Z. Zhao, N. Kovvali, W. Lin, C.-H. Ahn, L. Couchman, and L. Carin, ``Volumetric Fast Multipole Method for Modeling Schrödinger's Equation,'' Journal of Computational Physics, vol. 224, no. 2, pp. 941-955, June 2007.
• W. Lin, N. Kovvali, and L. Carin, ``Pseudospectral method based on prolate spheroidal wave functions for semiconductor nanodevice simulation,'' Computer Physics Communications, vol. 175, no. 2, pp. 78-85, July 2006.
• N. Kovvali, W. Lin, Z. Zhao, L. Couchman, and L. Carin, ``Rapid Prolate Pseudospectral Differentiation and Interpolation with the Fast Multipole Method,'' SIAM Journal on Scientific Computing, vol. 28, no. 2, pp. 485-497, March 2006.
• N. Kovvali, W. Lin, and L. Carin, ``Pseudospectral Method Based on Prolate Spheroidal Wave Functions for Frequency-Domain Electromagnetic Simulations,'' IEEE Transactions on Antennas and Propagation, vol. 53, no. 12, pp. 3990-4000, December 2005.
• W. Lin, N. Kovvali, and L. Carin, ``Direct Algorithm for Computation of Derivatives of the Daubechies Basis Functions,'' Applied Mathematics and Computation, vol. 170, no. 2, pp. 1006-1013, November 2005.
• N. Kovvali, W. Lin, and L. Carin, ``Image Technique for Multiresolution Time-Domain using Non-Symmetric Basis Functions,'' Microwave and Optical Technology Letters, vol. 47, no. 1, pp. 44-47, October 2005.
• W. Lin, N. Kovvali, and L. Carin, ``Ridgelet-Based Implementation of Multiresolution Time Domain,'' IEEE Transactions on Antennas and Propagation, vol. 53, no. 8, pp. 2688-2699, August 2005.
• N. Kovvali, W. Lin, and L. Carin, ``Order of Accuracy Analysis for Multiresolution Time-Domain using Daubechies Bases,'' Microwave and Optical Technology Letters, vol. 45, no. 4, pp. 290-293, May 2005.
• N. Kovvali and L. Carin, ``Analysis of wideband forward looking synthetic aperture radar for sensing land mines,'' Radio Science, vol. 39, no. 4, July 2004.

Teaching

Mentor to graduate students in the Signal Processing and Adaptive Sensing Laboratory, 2006-present
Teaching assistant for Random Signal Theory (EEE 554), Fall 2010
Substitute instructor for Signals and Systems (EEE 203), Fall 2008, and Digital Signal Processing (EEE 407/591), Spring 2009
Instructor for Topics in Signal Analysis (MAT/EEE 598), Spring 2007

Some mentors and colleagues

Antonia Papandreou-Suppappola, Aditi Chattopadhyay, Andreas Spanias, Doug Cochran, Chaitali Chakrabarti, Zoe Lacroix, Pedro Peralta, Erica Forzani, Nongjian Tao, Ray Tsui, Debejyo Chakraborty, Wenfan Zhou, Jason Zhang, Larry Carin, Qing Liu, Tom Witelski, Svetlana Roudenko, Wenbin Lin, Zhiqin Zhao, Nilanjan Dasgupta