Research - My research interests are in the application of information theory, coding theory and signal processing for building reliable communication networks and reliable storage systems in the presence of unreliable channels, components or physical media. I am interested both in the theoretical and applied aspects of research in this area. Some of our recent research has applications in 5G wireless communications, data science, data storage, and high-speed fiber-optic communications. A high level description of some of my current projects is available here.

My current research projects include - (i) design of novel uncoordinated massive multiple access paradigms for 5G wireless communications and the Internet of Things and (ii) signal processing for big data - exploring connections between sparse signal recovery and coding theory, fast algorithms for pattern matching. (iii) the use of structured codes (such as lattice codes) in multi-terminal information theory for applications in relaying (physical layer network coding, compute-and-forward and interference channels etc), (iv) design and analysis of spatially-coupled codes for applications in wireless communications and optical communications, (v) design of finite-length polar codes, (vi) design and analysis of product code based solutions for non-volatile memory. My research has been funded through many external research grants, several of them from the National Science Foundation. Our research group's web page will give detailed information about my research interests, sponsors, students, collaborators, publications, preprints and recent presentations. Please visit our research page.

Teaching - During Fall 2018, I will be teaching a graduate level course on Mathematical methods in Signal Processing. I recently taught a graduate course on Probablistic graphical models. In the past, I have taught graduate and undergraduate level courses on digital communications, signals and systems, digital signal processing, both basic and advanced channel coding, information theory and wireless communications. I enjoy interacting with students both in the class room and in our research group. I have been an early adopter of the flipped style of teaching. My personal thoughts and statement about teaching can be found here.

Service - I currently serve as an Associate Editor for Coding Techniques for the IEEE Transactions on Information Theory and as one of the technical program co-chairs for the 2018 IEEE Information Theory Workshop. I have also been elected to the board of governors of the Information Theory Society to serve from 2016-2018. I served as the area editor for the coding theory and applications area of the IEEE transactions on communications until 2012 and I was one of the Technical program chairs for the 2010 IEEE International Symposium on Information Theory (ISIT 2010)that was recently held in Austin, Texas. I have served on the editorial board of the IEEE Transactions on Wireless Communications and the IEEE Communications Letters. I have been on the technical program committee for several conferences in the past. At Texas A&M University, I served as the Director of Graduate Studies in the ECEN department from 2012-2014.

Selected Honors- I was the recipient of the 2001 National Science Foundation career award, the 2006 best paper award from the IEEE data storage technical committee within COMSOC, the Association of Former Students college-level teaching award at Texas A&M University and the 2014 Professional Progress in Engineering award from the Iowa State University given to one outstanding alumnus under the age of 46 each year. I also received the Dean's excellence award from the College of Engineering and the outstanding professor in the ECE department awards in 2015. In 2016, I gave a keynote lecture at the ICC workshop on massive uncoordinated multiple access and I was one of the lecturers at the North American School on Information Theory. I was elected Fellow of the IEEE for contributions to coding theory and its applications to wireless communications and data storage.

Recent News

  • September 2018 - Best paper award at ICVES! for our paper H. Kong, J. Cheng, K.R. Narayanan, J. Hu, "DUCER: A Fast and Light-weight Error Correction Scheme for In-Vehicle Network Communication" News article about this
  • August 2018 - Our first grant on Data Science! - NSF EAGER: Learning-Mediated Control for Traffic Shaping
  • August 2018 - Excited to be an invited participant at the NSF-Serbia workshop on data science
  • August 2018 - I gave one of the invited tutorials at the 2018 East Asian school on Information Theory
  • March 2018 - I am honored to be selected to receive an Association of Former Students distinguished award for teaching
  • November 2017 - Had a great time at MIT at the NSF workshop on Random Access
  • Jan 2017 - I gave one of the 4 tutorial lectures at the 2017 Australian School on Information Theory
  • Aug 2016 - I have been appointed as Eric D. Rubin '06 professor in Electrical and Computer Engineering at Texas A&M
  • Aug 2016 - Our proposal on Advanced Coding Techniques for Optical Communications has been funded by NSF
  • July 2016 - I delivered one of the lectures at the North American School on Information Theory Video of the lecture
  • June 2016 - I gave a talk at the Simons Insitute for Theoertical Computing Information Theory Reunion program
  • May 2016 - I delivered a keynote talk at the workshop on massive uncoordinated multiple access at ICC 2016
  • May 2016 - Our proposal on Massive Uncoordinated Multiple Access has been funded by NSF
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