I am the Elmore Rising Star Associate Professor of Electrical and Computer Engineering (ECE) at Purdue University, where I lead the ION research lab.
ION conducts research at the intersection of networking, communications, and machine learning. Contemporary network architectures we investigate include Fog computing systems, the Internet of Things (IoT), NextG Wireless, and social learning networks (SLN), and our foundational techniques include convex and non-convex optimization, machine learning, and signal processing.
Since joining Purdue, I have been fortunate to receive several external early career research awards, including NSF's CAREER Award, ONR's YIP (Young Investigator Program) Award, DARPA's YFA (Young Faculty Award), AFOSR's YIP Award, and Intel's RSA (Rising Star Faculty Award). Check out my CAREER project webpage for more details on this project too.
Prior to joining Purdue, I was the Associate Director of the EDGE Lab and a Lecturer of Electrical Engineering at Princeton University, where I received my PhD. I also co-founded the big data startup company Zoomi Inc based on my research.
I am also active in teaching. In addition to lecturing, I co-authored the book The Power of Networks: Six Principles That Connect Our Lives and have taught three Massive Open Online Courses (MOOCs) on networking.
Note to prospective postdocs: I am looking to recruit one postdoc to conduct research on fog/edge learning. If you are interested, please send me an email with (i) your CV and (ii) a brief statement of research. I apologize in advance that I cannot respond to every email.
Note to prospective graduate students: I am not actively recruiting. However, I am always interested in connecting with highly motivated students in case an opportunity arises. If you want to conduct research with me, feel free to send me an email that contains at least (i) your CV and (ii) something which demonstrates to me that you have read one of my recent papers. I apologize in advance that I cannot respond to every email.
News
- July 2024: Honored to have received the 2024 DARPA Director's Fellowship for my 2022 DARPA YFA.
- Jun 2024: Honored to have been selected for a 2024 Qualcomm Faculty Award. Also, our paper on device sampling in federated learning was accepted to IEEE/ACM ToN. Congrats, Henry! Another on beamforming optimization in federated learning was accepted to IEEE TWC.
- May 2024: Honored to have been promoted to associate with tenure, effective fall 2024. Also, excited to have received the IEEE ComSoc William R. Bennett Prize for this paper on fog learning. Congratulations to all my co-authors! Finally, our paper on ML-based wireless positioning has been accepted to IEEE JSAC. Congrats, Myeung and Anindya!
- Apr 2024: Two papers accepted to IEEE TCCN: asynchronous multi-model learning and D2D-enabled unsupervised federated learning. Congrats, Zhan-Lun and Satya!
- Mar 2024: Our project on autonomous underwater vehicles, in collaboration with KTH Sweden, has been awarded by Saab.
- Feb 2024: Our paper on semi-decentralized federated learning was accepted to IEEE JSTSP. Congrats, Rohit and Yun-Wei! Also, our group had 8 papers accepted to ICC 2024. Congrats, Adam, Tom, Liangqi, Myeung, Joseph, and Dong-Jun!
- Jan 2024: I am honored to have been selected for the 2024 AFOSR Young Investigator Program (YIP). Also, our paper on decentralized federated domain adaptation was accepted to IEEE TCCN. Congrats, Henry!
- Dec 2023: Our paper on gradient tracking in fog learning was accepted to IEEE INFOCOM 2024. Congrats, Evan! Also, our paper on federated learning in satellite networks was accepted to IEEE JSAC. Congrats, Dong-Jun!
- Nov 2023: Subham Saha, a PhD student in ION, has received the Amba Rao fellowship. Congrats, Subham! Also, our paper on federated learning in connected vehicles was accepted to IEEE TIV. Congrats, Liangqi!
- Oct 2023: Our paper on delay-aware hierarchical federated learning has been accepted to IEEE TCCN. Congrats, Frank! Also, our paper on federated split learning was accepted to IEEE TMC. Congrats, Dong-Jun and David!
- Sept 2023: Our paper on pilot assignment in Open-RAN has been accepted to IEEE JSAC. Congrats, Myeung and Anindya! Also, two papers were accepted to NeurIPS, one on federated domain generalization and another on federated reinforcement learning. Congrats, Dong-Jun and Guangchen!
- Aug 2023: Our paper on coded matrix computations has been accepted to IEEE JSAIT. Congrats, Anindya! Also, two papers were accepted to Allerton and three papers were accepted to Globecom. Congrats, Satya and Anindya!