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Spotlight talks (session 3)
Farzaneh Mahdisoltani · Frederik Kratzert · SUBBAREDDY OOTA · Mehul Motani · Tryambak Gangopadhyay · Sathwik Tejaswi Madhusudhan · Marc Rußwurm · Mahta Mousavi · Mihir Jain

Fri Dec 07 09:00 AM -- 09:20 AM (PST) @

Author Information

Farzaneh Mahdisoltani (University of Toronto)
Frederik Kratzert (LIT AI Lab / University Linz)
SUBBAREDDY OOTA (IIIT Hyderabad)
Mehul Motani (National University of Singapore)

Mehul Motani received the B.E. degree from Cooper Union, New York, NY, the M.S. degree from Syracuse University, Syracuse, NY, and the Ph.D. degree from Cornell University, Ithaca, NY, all in Electrical and Computer Engineering. Dr. Motani is currently an Associate Professor in the Electrical and Computer Engineering Department at the National University of Singapore (NUS) and a Visiting Research Collaborator at Princeton University. Previously, he was a Visiting Fellow at Princeton University. He was also a Research Scientist at the Institute for Infocomm Research in Singapore, for three years, and a Systems Engineer at Lockheed Martin in Syracuse, NY for over four years. His research interests include information theory, machine learning, wireless and sensor networks, and energy harvesting communications. Dr. Motani was the recipient of the Intel Foundation Fellowship for his Ph.D. research, the NUS Annual Teaching Excellence Award, the NUS Faculty of Engineering Innovative Teaching Award, and the NUS Faculty of Engineering Teaching Honours List Award. He actively participates in the Institute of Electrical and Electronics Engineers (IEEE) and the Association for Computing Machinery (ACM). He is a Fellow of the IEEE and has served as the Secretary of the IEEE Information Theory Society Board of Governors. He has served as an Associate Editor for both the IEEE Transactions on Information Theory and the IEEE Transactions on Communications. He has also served on the Organizing and Technical Program Committees of numerous IEEE and ACM conferences.

Tryambak Gangopadhyay (Iowa State University)

As a Ph.D. student at Iowa State University, I am working as a Research Assistant at Self-aware Complex Systems Lab on Machine Learning and Deep Learning for healthcare, agriculture, and different cyber-physical systems. I am doing a concurrent Masters in Computer Science. In 2019, I did my summer internship at the Machine Learning group of Lawrence Livermore National Laboratory. I developed deep learning fusion models for clinical prediction tasks using Electronic Health Record datasets. In my Ph.D. thesis, I am focusing on implementing state-of-the-art architectures and designing new algorithms for large-scale image/video data, multivariate time series data and text data with applications focusing on cyber-physical systems. My interests include Autoencoders (For 3D and 2D Data), LSTM Models, Attention Models, Explainability for Spatiotemporal Data, Action Recognition, Anomaly Detection using ML, 3D, and 2D CNN for large-scale video datasets, Natural Language Processing, Multimodal Learning using text, time-series and images, Spatiotemporal Interpretability for Multivariate Time-Series Data. Recently, I have started developing an interest in Reinforcement Learning. Please contact me at tryambak@iastate.edu, tryambak95@gmail.com for more details about my research.

Sathwik Tejaswi Madhusudhan (University of Illinois at Urbana Champaign)
Marc Rußwurm (Technical University of Munich)
Mahta Mousavi (UC San Diego)
Mihir Jain (Qualcomm)

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