Embedded Files
Invited Talks
Invited Talks
Title: (coming soon..)
Speaker: Anjana A M, IIT Hyderabad
Title: (coming soon..)
Speaker: Anjana A M, IIT Hyderabad
Abstract: (coming soon)
Bio: Anjana A M is currently an Assistant Professor in the Department of Electrical Engineering at IIT Hyderabad. Prior to joining academia, she served as a Chief Engineer at Samsung R&D Institute India - Bangalore, where she was part of the Advanced Modem team developing PHY-layer algorithms for beyond 5G communication systems. Her industry experience also includes roles at Qualcomm India Private Limited and Lekha Wireless Solutions, Bangalore, where she primarily worked on 4G and 5G modem systems.
Anjana received her Ph.D. from the Department of ECE at the Indian Institute of Science (IISc), Bangalore, where she worked under the guidance of Prof. B. Sundar Rajan. Her research was partly funded by the Qualcomm Innovation Fellowship awarded to her in 2020. She also holds a Master's degree in Telecommunication from the Dept. of ECE, IISc, where she graduated as the gold medalist.
Title: (coming soon..)
Speaker: Karthikeyan Shanmugam, Google DeepMind India
Title: (coming soon..)
Speaker: Karthikeyan Shanmugam, Google DeepMind India
Abstract: (coming soon)
Bio: Karthikeyan Shanmugam is a Research Scientist at Google Deepmind India (Bengaluru). He is part of the Machine Learning Foundations and Optimization Team.
Previously, Karthikeyan was a Research Staff Member with the IBM Research AI, NY during the period 2017-2022 and a Herman Goldstine Postdoctoral Fellow at IBM Research, NY in the period 2016-2017. He obtained his Ph.D. in ECE from UT Austin in 2016. His advisor at UT was Alex Dimakis. He obtained his MS degree in Electrical Engineering (2010-2012) from the University of Southern California, B.Tech and M.Tech degrees in Electrical Engineering from IIT Madras in 2010.
Karthikeyan's research interests broadly lie in Graph algorithms, Machine learning, Optimization, and Information Theory. Specifically in machine learning, his recent focus is on Causal Inference, Foundation Models, Bandits/RL and Explainable AI.
Title: (coming soon..)
Speaker: Raghuvansh Raj Saxena, TIFR Mumbai
Title: (coming soon..)
Speaker: Raghuvansh Raj Saxena, TIFR Mumbai
Abstract: (coming soon)
Bio: Raghuvansh Raj Saxena is a Reader at the School of Technology and Computer Science at the Tata Institute of Fundamental Research, Mumbai. His primary research interest is communication complexity and its applications to other areas of theoretical computer science, such as coding theory, algorithmic game theory, streaming algorithms, and distributed systems. Other topics he likes to think about are computational complexity, information theory, and things you can convince him to think about.
Before joining TIFR, Raghuvansh received his Ph.D. from Princeton University under the amazing supervision of Prof. Gillat Kol and his Bachelor's degree in Computer Science and Engineering from IIT Delhi.
Title: (coming soon..)
Speaker: Arjun Bhagoji, IIT Bombay
Title: (coming soon..)
Speaker: Arjun Bhagoji, IIT Bombay
Abstract: (coming soon)
Bio: Arjun Bhagoji is an Assistant Professor in the Centre for Machine Intelligence and Data Science (C-MInDS) at IIT Bombay where he works with the IRoHS Lab. Previously, he was a Research Scientist in the Department of Computer Science at the University of Chicago working with Ben Zhao and Nick Feamster. His research focuses on robust and reliable machine learning. He is also interested in the application of machine learning to problems of societal interest. Arjun completed his Ph.D. under the supervision of Prateek Mittal in the Department of Electrical and Computer Engineering at Princeton University. He spent five wonderful years at the Indian Institute of Technology Madras in a Dual Degree (B.Tech.+M.Tech.) program in Electrical Engineering.
Title: (coming soon..)
Speaker: V Arvind Rameshwar, IIT Madras
Title: (coming soon..)
Speaker: V Arvind Rameshwar, IIT Madras
Abstract: (coming soon)
Bio: V Arvind Rameshwar is an Assistant Professor at IIT Madras, in the Department of Electrical Engineering.
Arvind has a PhD degree from the Department of Electrical Communication Engineering of the Indian Institute of Science (IISc), Bengaluru. Earlier, he received the B.E. (Hons.) degree in Electronics and Communication Engineering from BITS, Pilani–Hyderabad Campus, in 2018, graduating with a gold medal. Post his PhD, Arvind spent some time at India Urban Data Exchange (IUDX), a non-profit initiative of the Ministry of Housing and Urban Affairs, Govt. of India, where he worked on differential privacy.
Arvind's current research interests are broadly in the fields of information theory, error-control coding, and their applications, in addition to data privacy. His Ph.D. thesis was awarded the Seshagiri Kaikini Medal for the year 2023–24, for the best Ph.D. thesis from the ECE Department at IISc. A part of the work towards his Ph.D. thesis was awarded the IEEE Jack Keil Wolf ISIT Student Paper Award at the ISIT 2023.
Arvind's research has received generous support from Qualcomm Innovation Fellowships (QIF) India 2020, 2022, and 2023, and from a Prime Minister’s Research Fellowship (PMRF) 2020.
Title: (coming soon..)
Speaker: Neeraja Sahasrabudhe, IISER Mohali
Title: (coming soon..)
Speaker: Neeraja Sahasrabudhe, IISER Mohali
Abstract: (coming soon)
Bio: Neeraja Sahasrabudhe is an Assistant Professor in the Department of Mathematical Sciences at IISER Mohali.
Prior to this, Neeraja was a postdoctoral fellow at Indian Institute of Technology, Bombay and a visiting scientist at Indian Statistical Institute, Bangalore. She obtained her Ph.D from University of Padova, Italy. She was jointly advised by Prof. Paolo Dai Pra and Prof. Michele Pavon. She did B.Math from ISI Bangalore in 2006, and masters from University of Leiden and University of Bordeaux as part of the ALGANT program in 2008.
Neeraja works in Probability Theory.
Page updated
Report abuse