01st to 27th December 2024
           IIT Kanpur Certificate Program on PYTHON
for Artificial
Intelligence Machine Learning and Deep Learning   
      Organized by Prof. Aditya K. Jagannatham, EE Department, IIT Kanpur
Prof. Aditya K. Jagannatham
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. List of Awards of Prof. Aditya K. Jagannatham
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Prof. Suraj Srivastava
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 |
Dr. Dheeraj Nagaraj
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.
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Dr. Soumyadeep Dey
Dr. Soumyadeep Dey
is currently working as Sr. Applied Scientist at
Microsoft, India. He has completed his Ph.D. from the Department of Computer Science &
Engineering at Indian Institute of Technology Kharagpur, India in 2019.
His research interests include image processing, computer vision, document
segmentation, and applications of machine learning techniques for resource
constrained devices. |