01st to 29th December 2025
01st to 29th December 2025
IIT Kanpur Certificate Program on PYTHON
for Artificial
Intelligence Machine Learning and Deep Learning
Organized by Prof. Aditya K. Jagannatham, EE Department, IIT Kanpur
Speakers
 | 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, from October 2022 to November 2023. 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. He has been honoured with the prestigious INAE Young Associateship 2024 in recognition to his outstanding contributions in Wireless Communications. |
Distinguished Guest Speakers
 | Dr. Sandeep Ponnuru
Dr. Sandeep Ponnuru
Ponnuru been working at Apple for over three years, and is passionate about engineering and innovation. As a computer vision engineer at Apple, Sandeep applies his PhD in electrical engineering and his expertise in Python and machine learning to design and develop cutting-edge solutions for various computer vision applications. In his previous roles at Broadcom and Qualcomm, he gained valuable experience in system engineering, hardware and software integration, and image processing. He has contributed to multiple projects involving embedded systems, camera sensors, and deep learning models. Sandeep enjoys collaborating with cross-functional teams and learning new technologies to solve challenging problems. He obtained his Bachelors of technology in Electrical engineering from Indian Institute of Technology, Kanpur and PhD, Electrical Engineering from UC Santa Barbara
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 | 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. More information about his research can be found at https://dheerajnagaraj.com/ | |
 | Dr. Arjun Radhakrishna
Dr. Arjun Radhakrishna is a Principal Research Manager in the PROSE team at Microsoft. His current research focuses on developing and evaluating AI agents to automate complex tasks in the domains of software engineering and spreadsheets. More broadly, his interests include combining techniques from AI, HCI, and program synthesis to empower programmers and end-users to achieve more through intelligent, trustworthy, and efficient automation. Previously, Arjun led the research on IntelliCode Suggestions in Microsoft Visual Studio, a feature that eliminates the burden of over one million repetitive code edits for C# programmers each day. Prior to joining Microsoft, Arjun earned his Ph.D. from IST Austria and was a postdoctoral researcher at the University of Pennsylvania. His dissertation was awarded the ACM SIGBED Paul Caspi Dissertation Award for outstanding work in the field of embedded systems. More details about his research can be found at https://arjunradhakrishna.github.io/ |