Piya Pal. California Institute of Technology, Pasadena, CA GPA: 4.2/4.0 Advisor: Prof. P. P. Vaidyanathan

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1 Piya Pal 1200 E. California Blvd MC Pasadena, CA Tel: Education Ph.D. in Electrical Engineering Sep Present California Institute of Technology, Pasadena, CA GPA: 4.2/4.0 Advisor: Prof. P. P. Vaidyanathan M.S. in Electrical Engineering California Institute of Technology, Pasadena, CA GPA: 4.2/4.0 B. Tech in Electronics and Electrical Communication Engineering Indian Institute of Technology - Kharagpur, India GPA: 9.54/10.00 Research Interests Sparse Sampling strategies, representation and reconstruction. Optimization. Statistical Signal Processing. Array Processing with applications in radar signal processing. Honors and Awards Winner of Everhart Lecture Series, Caltech 2013 (one of three lecturers selected across all disciplines at Caltech) Pasadena, CA. Best Student Paper Award January 2011 IEEE DSP Workshop Sedona, Az. Best Student Paper Award (third position), Nov th Asilomar Conference on Signals, Systems and Computers Pacific Grove, CA. 2nd Position (Best Presentation Category) Nov. 2011, Caltech Rising Researchers Poster Symposium Caltech, organized by Graduate Student Council (GSC) Pasadena, CA. Finalist, Best Student Paper Contest April, th International Conference on Acoustics, Speech Taipei, Taiwan and Signal Processing, ICASSP, 2009 Atwood Fellowship Caltech Graduated 2 nd in the department of Electronics and Electrical 2007 Communication Engineering and 3rd among all undergraduate students from Engineering and Science Stream Indian Institute of Technology-Kharagpur, India Sarat Memorial Prize for securing highest GPA 2007 among graduating women students Indian Institute of Technology-Kharagpur, India

2 Research Experience Graduate Research Assistant Present Advisor: Prof P. P. Vaidyanathan DSP Group, Caltech Sparse Sampling and Spectral Estimation: Developed new sparse (sub-nyquist) sampling strategies such as nested and coprime in 1 and multiple dimensions for estimation of the autocorrelation lags at the Nyquist rate, leading to spectral estimation with higher resolution. Proved new results on coprimality of integer matrices arising as a result of such sampling strategies in 2 dimensions. Sparse Arrays for Direction of Arrival Estimation (DOA): Proposed nested and coprime arrays of sensors based on the preceding sampling strategy to perform DOA estimation of O(N 2 ) sources using only O(N) physical sensors. Also, extended the approach to the case when higher order statistics of the signal are considered. Correlation Aware Sparse Support Recovery: Drawing insights from the proposed spectral estimation framework, we proposed correlation aware techniques for the recovery of sparse support in Multiple Measurement Vector (MMV) problems demonstrating that the recovered support can be orders of magnitude more than that achieved by existing approaches. In particular, if s is the sparsity level (number of non zero entries) that is guaranteed to be recovered using existing approaches, then our approach can recover sparsity levels as large as O(s 2 ). Summer Intern June-October, 2012 Advisor: Dr. Henrique Malvar Microsoft Research, Redmond, WA. Worked on the problem of dereverberation of speech in noisy environment. Undergraduate Summer Intern May-July, 2006 Advisor: Dr. Urbashi Mitra University of Southern California, CA. Worked on algorithms for Channel Estimation in multi-hop sensor networks employing both encodeand-forward and amplify-and-forward schemes for joint sensing and communication. Teaching Experience Teaching Assistant for the following courses at Caltech: Signals and Systems, EE Digital Signal Processing, EE 112ab Multirate Signal Processing, EE 128ab 2010, Applications of Convex Optimization in Signal Processing and Communications, EE Publications Book Chapter P. P. Vaidyanathan and Piya Pal, Coprime sampling and arrays in one and multiple dimensions, Chapter 5 in Multiscale Signal Analysis and Modeling, Edited by X. A. Shen and A. I. Zayed, Springer, Journal (published) 1. Piya Pal and P. P. Vaidyanathan, Nested arrays: a novel approach to array processing with enhanced degrees of freedom, IEEE Trans. on Signal Processing, vol. 58, pp , August Piya Pal and P. P. Vaidyanathan, Coprimality of Certain Families of Integer Matrices, IEEE Trans. on Signal Processing, vol. 59, pp , April Piya Pal and P. P. Vaidyanathan, Multiple Level Nested Array: An efficient geometry for 2qth order cumulant based array processing, IEEE Transactions on Signal Processing, vol.60, no.3, pp , March Piya Pal and P. P. Vaidyanathan, Nested Arrays in Two Dimensions, Part I: Geometrical Considerations, IEEE Trans. on Signal Processing, vol.60, no.9, pp , Sept

3 5. Piya Pal and P. P. Vaidyanathan, Nested Arrays in Two Dimensions, Part II: Application to Two Dimensional Array Processing, IEEE Trans. on Signal Processing, vol.60, no.9, pp , Sept P. P. Vaidyanathan and Piya Pal, Sparse Sensing With Co-Prime Samplers and Arrays, IEEE Trans. on Signal Processing, vol. 59, pp , Feb P. P. Vaidyanathan and Piya Pal, Theory of sparse coprime sensing in multiple dimensions, IEEE Transactions on Signal Processing, Vol. 59, No. 8, Aug P. P. Vaidyanathan and Piya Pal, A General Approach to Coprime Pairs of Matrices, Based on Minors, IEEE Transactions on Signal Processing, vol. 59, No. 8, Aug P. P. Vaidyanathan and Piya Pal, System Identification With Sparse Coprime Sensing, Signal Processing Letters, IEEE, vol.17, no.10, pp , Oct P. P. Vaidyanathan and Piya Pal, Generating New Commuting Coprime Matrix Pairs From Known Pairs, Signal Processing Letters, IEEE, vol.18, no.5, pp , May Journal (in preparation) 1. Piya Pal and P. P. Vaidyanathan, Improving the fundamental limits of sparse support recovery in Multiple Measurement Vector (MMV) models using correlation-awareness, in preparation. Proceedings of Refereed Conference Published 1. Piya Pal and P. P. Vaidyanathan, Correlation Aware Techniques for Sparse Support Recovery, IEEE Statistical Signal Processing Workshop (SSP), 2012, pp.53-56, 5-8 Aug Piya Pal and P. P. Vaidyanathan, On Application of LASSO for Sparse Support Recovery With Imperfect Correlation Awareness, 46th Asilomar Conference on Signals, Systems and Computers, 2012, Nov. 4-7, Piya Pal and P. P. Vaidyanathan, Non-Uniform Linear Arrays for Improved Identifiability in Cumulant Based DOA Estimation, 45th Asilomar Conference on Signals, Systems and Computers, 2011 (Winner of the 3rd Prize in Best Student Paper Award Contest, November, 2011). 4. Piya Pal and P. P. Vaidyanathan, Coprime sampling and the MUSIC algorithm, IEEE DSP Workshop, Sedona, AZ, January 2011 (Winner of Best Student Paper Award). 5. Piya Pal and P. P. Vaidyanathan, Two Dimensional Nested Arrays on Lattices, ICASSP, May, Prague, Piya Pal and P. P. Vaidyanathan, A novel array structure for directions-of-arrival estimation with increased degrees of freedom, Proc. ICASSP., Dallas, March Piya Pal and P. P. Vaidyanathan, Beamforming using passive nested arrays of sensors, Proc. IEEE Int. Symp. Circuits and Systems, Paris, May-June Piya Pal and P. P. Vaidyanathan, Efficient Frequency Invariant Beamforming using Virtual Arrays, 44th Asilomar Conf. on Signals, Systems and Computers, Piya Pal and P.P. Vaidyanathan, A novel autofocusing approach for estimating directions-of-arrival of wideband signals, 43rd Asilomar Conf. on Signals, Systems and Computers, pp , Nov Piya Pal and P. P. Vaidyanathan, Frequency invariant MVDR Beamforming without filters and implementation using MIMO radar, Proc. ICASSP, Taipei, April (finalist for Best Student Paper Award). 11. P. P. Vaidyanathan, Piya Pal, and Chun-Yang Chen, MIMO radar with broad band waveforms: smearing filter banks and 2D virtual arrays, Proc. 42nd Asilomar Conference on Signals, Systems, and Computers, Monterey, CA, Oct

4 12. P. P. Vaidyanathan and Piya Pal, MIMO radar, SIMO radar, and IFIR radar: a comparison, Proc. 43rd Asilomar Conference on Signals, Systems, and Computers, Monterey, CA, Nov P. P. Vaidyanathan and Piya Pal, Sparse sensing with coprime arrays, Proc. 44th Asilomar Conference on Signals, Systems, and Computers, Monterey, CA, Nov P. P. Vaidyanathan and Piya Pal, Sparse coprime sensing with multidimensional lattice arrays, 14th IEEE DSP workshop, Sedona, AZ, Jan P. P. Vaidyanathan and Piya Pal, Adjugate pairs of sparse arrays for sampling two-dimensional signals, Proc. IEEE Int. Conf. Acoust. Speech, and Signal Proc., Prague, Czech Republic, May P. P. Vaidyanathan and Piya Pal, Coprime sampling for system stabilization with FIR multirate controllers, Proc. 45th Asilomar Conference on Signals, Systems, and Computers, Monterey,CA, Nov P. P. Vaidyanathan and Piya Pal, Direct-MUSIC on sparse arrays, IEEE Intl. Conf. on Signal Proc. and Comm., Bangalore, India, July P. P. Vaidyanathan and Piya Pal, Role of bandwidth in the quality of inversion of linear multirate systems with noise, Proc. 46th Asilomar Conference on Signals, Systems, and Computers, Monterey, CA, Nov Submitted 1. Piya Pal and P. P. Vaidyanathan, Correlation-Aware Sparse Support Recovery: The Gaussian Source Model, submitted to ICASSP, Professional Service Conference-related duties Co-session Chair for the session titled Information theoretic Signal Processing Nov. 4-7, 2012 with Dr. P. P. Vaidyanathan at 46th Asilomar Conference on Signals, Systems and Computers. Member of the Review Committee for International Conference on 2013 Acoustics, Speech and Signal Processing (ICASSP) Invited Referee for Journals and Conferences IEEE Transactions on Signal Processing; IEEE Signal Processing Letters; IEEE Transactions on Circuits and Systems; EURASIP Journal on Signal Processing; IEEE Sensors Journal; IEEE Transactions on Aerospace and Electronic Systems; IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP); Extra Curricular Activites International Student Program (ISP), Caltech: Active Member. Duties in the past have included volunteering for new student orientation, conducting events related to cultural and academic adjustments in the US, and interviewing candidates for the position of Internationl Student Advisor. Glee Club, Caltech: Voice-Soprano. Have performed in various concerts at Caltech and choral festival organized by the Pacific Southwest Intercollegiate Choral Association (PSICA). Organization of Associated Students of the Indian Subcontinent (OASIS), Caltech: Active member. Volunteered for and performed in various socio cultural events.

5 References Available upon Request.