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Engineering | SENSIP

Vivek Sivaraman Narayanaswamy, PhD

Student Name: Vivek Sivaraman Narayanaswamy, PhD


Vivek Sivaraman Narayanaswamy received his bachelor’s degree in electronics and communication engineering from S.S.N College of Engineering, Anna University, Tamil Nadu, India, in 2017. He is currently a Ph.D. student in the school of electrical, computer and energy engineering at ASU, Tempe, AZ. He has interned with Lawrence Livermore National Laboratory (LLC) during the summers of both 2019, 2020 and 2021 where he worked upon developing solutions for inverse problems, explainable AI and surrogate model design respectively. He also interned with Qualcomm R&D during the summer of 2018. His research interests include applications of machine learning for signal processing applications. In particular, he works in using machine leaning for speech and audio applications, inverse problems, and explainable AI, uncertainty quantification and anomaly detection. As a part of his research assistantship, he also developed machine learning tools that can be utilized for solar array monitoring and sensor calibration.

ASU SenSIP Center for the great support and the opportunities for collaboration and mutual research
projects with industry.
Dr. Jayaraman J. Thiagarajan – Lawrence Livermore National Labs

➢ Narayanaswamy, V., Thiagarajan, J. J., Anirudh, R., and Spanias, A. (2020). Unsupervised Audio
Source Separation using Generative Priors. Interspeech 2020.
➢ Narayanaswamy, V. S., Thiagarajan, J. J., Song, H., & Spanias, A. (2019, May). Designing an
effective metric learning pipeline for speaker diarization. In 2019 IEEE International Conference on
Acoustics, Speech and Signal Processing, pp. 5806-5810, Brighton, United Kingdom
➢ Narayanaswamy, V. S., Thiagarajan, J. J., Anirudh, R., Forouzanfar, F., Bremer, P. T., & Wu, X. H.
Designing deep inverse models for history matching in reservoir simulations. In ML for Physical
Sciences Workshop. NeurIPS 2019, Canada
➢ Narayanaswamy, V. S., Ayyanar, R., Spanias, A., Tepedelenlioglu, C., & Srinivasan, D. Connection
topology optimization in photovoltaic arrays using neural networks. In 2019 IEEE International
Conference on Industrial Cyber Physical Systems, May 2019 , pp. 167-172.
➢ Narayanaswamy, V. S., Shanthamallu, U. S., Dixit, A., Rao, S., Ayyanar, R., Tepedelenlioglu, C.,
Spanias, A. S., Banavar, M. K., Katoch, S., Pedersen, E., Spanias, P., Turaga, P., & Khondoker, F.
Online modules to introduce students to solar array control using neural nets. ASEE Annual
Conference and Exposition, Conference Proceedings, 2019.
➢ Narayanaswamy, V. S., Katoch, S., Thiagarajan, J. J., Song, H., & Spanias, A. (2019). Audio Source
Separation via Multi-Scale Learning with Dilated Dense U-Nets. arXiv preprint arXiv:1904.04161.
➢ Rajkumar, S., Sivaraman, N. V., Murali, S., & Selvan, K. T. (2017). Heptaband swastik arm antenna
for MIMO applications. IET Microwaves, Antennas & Propagation, 11(9), 1255-1261.