Vaneet Aggarwal received the B.Tech. degree from the Indian Institute of Technology Kanpur, Kanpur, India, in 2005 and the MA and PhD degrees from Princeton University, Princeton, NJ, USA, in 2007 and 2010, respectively, all in Electrical Engineering. He is currently a Full Professor at Purdue University, West Lafayette, IN 47907, USA, where he has been since 2015. Prior to that, he was with AT&T Labs Research (2010-2014). He has been a Visiting Professor at KAUST, Saudi Arabia (2022-2023), Adjunct Professor at IIIT Delhi (2022-2023), VAJRA Adjunct Professor at IISc Bangalore (2018-2019), and Adjunct Assistant Professor at Columbia University (2013-2014).
Dr. Aggarwal received the Princeton University's Porter Ogden Jacobus Honorific Fellowship in 2009 and Purdue University's Most Impactful Faculty Innovator award in 2020. In addition, he received IEEE Jack Neubauer Memorial Award in 2017, IEEE Infocom Workshop Best paper award in 2018, and Neurips Workshop Best paper award in 2021. He was an Associate Editor for the IEEE Transactions on Green Communications and Networking (2017-2020) and IEEE Transactions on Communications (2017-2022). He has served as Senior Program Committee member for AAAI 2023, IJCAI 2023, AAAI 2024, ICLR 2024, and IJCAI 2024. He is currently serving on the Editorial Board of the IEEE/ACM Transactions on Networking (2019-current), and is co-Editor-in-Chief of the ACM Journal on Transportation Systems (2022-current). He is 2024-2025 IEEE ComSoc Distinguished Lecturer. His current research interests include reinforcement learning, generative models, quantum machine learning, and applications of machine learning in Networking, Transportation, Robotics, Manufacturing, Healthcare, and Bioinformatics.
Lecture Topics
- Cloud Storage Systems: Latency Characterization and Extensions
- Constrained Reinforcement Learning with Average Reward Objective
- Discrete and Continuous Submodular Bandits with Full Bandit Feedback