Arindam Mukherjee, PH.D.

Dr. Arindam Mukherjee, PH.D.

Associate Professor
Electrical and Computer Engineering
  • Ph.D. University of California at Santa Barbara, 2002
  • M.S. University of California at Santa Barbara, 2000
  • B.Tech. Jadavpur University India, 1996
  • Smart System Architectures and Internet of Things
    • Cooperative, Autonomous and Intelligent Mobile Systems and Big Data
    • Real-Time System Software
    • Real-Time System Level Database Management
    • Scheduling and Partitioning Algorithms for Smart IoT Systems
    • Fog Computing System Architecture
Selected Publications:
  1. A. Mukherjee and M. Marek-Sadowska, “Wave Steering to Integrate Logic and Physical Syntheses”, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 11, no. 1, February 2003, pp.105-120.
  2. K. Regester, J. Byun, A. Mukherjee and A. Ravindran, “Implementing bioinformatics algorithms on Nallatech-configurable multi-FPGA systems”, Xcell Journal., Second Quarter, 2005, pp.100-103.
  3. F. Su, W. Hwang, A. Mukherjee and K. Chakrabarty, “Testing and Diagnosis of Realistic Defects in Digital Microfluidic Biochips“, Journal of Electronic Testing: Theory and Applications, 2006, pp.219-233.
  4. R. Karanam, A. Ravindran, and A. Mukherjee, “A Stream Chip-multiprocessor for Bioinformatics”, ACM SIGARCH Computer Architecture News, Volume 36, Issue 2, pp. 2 – 9, May 2008.
  5. A.Kailas, V.Cecchi, and A.Mukherjee, ” A Survey of Communications and Networking Technologies for Energy Management in Buildings and Home Automation”, Journal of Computer Networks and Communications, Article ID 932181, 12 pages, Jan 2012.
  6. Datta, K.; Mukherjee, A.; Cao, G.; Tenneti, R.; Vijendra Kumar Lakshmi, V.; Ravindran, A.; Joshi, B.S. CASPER: Embedding Power Estimation and Hardware-Controlled Power Management in a Cycle-Accurate Micro-Architecture Simulation Platform for Many-Core Multi-Threading Heterogeneous Processors. J. Low Power Electron. Appl. 2012,2, 30-68.
  7. A. Panday, B. Joshi, A. Ravindran, A. Mukherjee and H. P. Zaveri, “Real-Time Processing of Biomedical Streaming Data on Cell Broadband Engine”, Submitted for publication, 2012.
  8. A. Seal and A. Mukherjee, “On the Emerging Coexistence of Edge, Fog and Cloud Computing paradigms in Real-Time Internets-of-EveryThing which operate in the Big-Squared Data space,” SoutheastCon 2018, St. Petersburg, FL, USA, 2018, pp. 1-9. doi: 10.1109/SECON.2018.8478948