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Speakers

Prof. Aditya K. Jagannatham

Arun Kumar Chair Professor
EE Department
IIT Kanpur
Qualcomm Innovation Fellow (2018-2019, 2022-2023)
PK Kelkar Fellow (2012-2015, 2015-2018)

Prof. Aditya K. Jagannatham is a Professor in the Electrical Engineering department at IIT Kanpur, where he holds the Arun Kumar Chair Professorship. He received his Bachelors degree from the Indian Institute of Technology, Bombay and M.S. and Ph.D. degrees from the University of California, San Diego, U.S.A. From April '07 to May '09 he was employed as a senior wireless systems engineer at Qualcomm, San Diego, California, where he was a part of the Qualcomm CDMA technologies (QCT) division. His research interests are in the area of next generation wireless networks and machine learning, with a special emphasis on signal processing, AI/ ML applications in various 5G/ 6G technologies.

His research articles have been published extensively in leading international IEEE journals and conferences. He has successfully conducted several Massive Open Online Courses (MOOCs) and cutting-edge Schools on various topics such as MIMO OFDM Wireless Systems, Probability and Random Processes, Signals and Systems, Principles of Communication Systems, Optimization, Machine Learning, which have been widely attended and appreciated. He has been recognized with several awards described below.

List of Awards of Prof. Aditya K. Jagannatham

  • CAL(IT)2 fellowship at the University of California San Diego
  • Upendra Patel Achievement Award at Qualcomm
  • P.K. Kelkar Young Faculty Research Fellowship-I (2012-2015)
  • P.K. Kelkar Young Faculty Research Fellowship-I (2015-2018)
  • Qualcomm Innovation Fellowship (QInF)-2018
  • Arun Kumar Chair (2019-2022, 2022-Present)
  • IITK Excellence in Teaching Award (2019)

Prof. Suraj Srivastava

Assistant Professor
Indian Institute of Technology Jodhpur
Ex Qualcomm, Samsung, Broadcom

Prof. Suraj Srivastava received the M.Tech. degree in Electronics and Communication Engineering from Indian Institute of Technology Roorkee and Ph.D. degree in Electrical Engineering from Indian Institute of Technology Kanpur, India, in 2022. He was previously employed as a Staff-I systems design engineer with Broadcom Research India, and as a lead engineer with Samsung Research India. He also worked as a senior lead engineer in Qualcomm India Pvt. Ltd., Bangalore . His research interests include applications of Sparse Signal Processing in 5G Wireless Systems, mmWave and Tera-Hertz Communication, Optimization and Machine Learning. He was awarded Qualcomm Innovation Fellowships (QIF) in years 2018 and 2022. He is currently an Assistant Professor at the Department of Electrical Engineering, Indian Institute of Technology Jodhpur. More information about him can be found at https://sites.google.com/iitj.ac.in/profsurajsrivastava/home


Distinguished Guest Speakers

Dr. Dheeraj Nagaraj

Research Scientist, Google

Dr. Dheeraj Nagaraj is a Research Scientist at Google DeepMind. He works on various problems in theoretical machine learning, applied probability and statistics. His current work focuses on sampling, generative modeling, and estimation and optimization of discrete and continuous diffusion models. He completed his PhD at the Lab for Information and Decision Systems (LIDS) at MIT advised by Prof. Guy Bresler in 2021 and prior to that received his dual degree in Electrical Engineering from IIT Madras in 2016.
More information about him can be found at https://dheerajnagaraj.com/



Dr. Soumyadeep Dey

Senior Data and Applied Scientist at Microsoft India

Dr. Soumyadeep Dey is a Senior Data and Applied Scientist at Microsoft India. He obtained his PhD Computer Science from Indian Institute of Technology, Kharagpur and Master of Engineering (MEng) Computer Science from IIEST, Shibpur. His research interests are in the areas of Machine Learning, Image processing, Document processing, Data analysis, Computer vision
More information can be found at https://www.linkedin.com/in/soumyadeep-dey-85289729/