I am the Elmore Rising Star Assistant 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), DARPA's YFA (Young Faculty 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.


  • 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!
  • July 2023: Our paper on topology analysis in distributed learning has been accepted to ACM Mobihoc (acceptance rate 22%). Congrats, Rohit and Yun-Wei!
  • June 2023: I am honored to have received the Elmore Chaired Professorship. I am also very excited to have been invited to participate in the NAE-sponsored US Frontiers of Engineering symposium this fall.
  • May 2023: Our paper on wireless positioning sensor selection has been accepted to IEEE Transactions on Vehicular Technologies. Congrats, Myeung! Also, David, who will be staying on in the group for his PhD starting in the fall, won the prestigious NDSEG Fellowship from the DoD. Congrats, David!
  • Apr 2023: Our paper on robust feedback coding has been accepted to ICML 2023. Congrats, Junghoon, who successfully defended his PhD thesis this month too! Also, I am honored to have been selected for two College of Engineering faculty excellence awards, in Early Career Research and Early Career Teaching.
  • Mar 2023: Our positioning paper on cooperative federated learning has been accepted to IEEE Communications Magazine. Congrats, Henry! Also, our paper on adversarial attacks in massive MIMO has been accepted to IEEE TCCN. Congrats, Rajeev and Jess!
  • Feb 2023: Our paper on 5G wireless security was accepted to IEEE Security and Privacy. Also, our paper on coded federated learning was accepted to ICASSP 2023. Congrats, Anindya!
  • Jan 2023: Our paper on federated domain translation was accepted to ICLR 2023. Congrats, Shams! Also, we had two papers accepted to ICC 2023. Congrats, Henry, Rajeev, and Dinh!
  • Dec 2022: Our paper on split learning has been accepted to INFOCOM 2023. Congrats, Dong-Jun! Also, our paper on social learning networks during COVID-19 was accepted to IEEE/ACM TON. Congrats, Rajeev, Serena, and Jess!