World's Best Scientists 2026 revealed!

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Computer Science

D-Index
60
Citations
13382
World Ranking
3258
National Ranking
1579

Electronics and Electrical Engineering

D-Index
59
Citations
13022
World Ranking
1759
National Ranking
705

Research.com Recognitions

  • 2014 - IEEE Fellow For contributions to the design and testing of low-power systems and system-on-chips

Overview

Sujit Dey is affiliated with the University of California, San Diego, United States. Their research spans several fields and topics within computer science and engineering, focusing on areas including Internet of Things (IoT) and edge/fog computing, advanced neural network applications, and heart rate variability alongside autonomic control. Additional emphases include vehicular ad hoc networks (VANETs), autonomous vehicle technology and safety, image and video quality assessment, and studies related to blood pressure and hypertension.

Their recent publications cover a range of topics and have appeared in various notable venues. Select recent papers include:

  • Personalized Blood Pressure Estimation Using Photoplethysmography: A Transfer Learning Approach, 2021, IEEE Journal of Biomedical and Health Informatics
  • Personalized machine learning of depressed mood using wearables, 2021, Translational Psychiatry
  • Predictive Adaptive Streaming to Enable Mobile 360-Degree and VR Experiences, 2020, IEEE Transactions on Multimedia
  • Using Wearables and Machine Learning to Enable Personalized Lifestyle Recommendations to Improve Blood Pressure, 2021, IEEE Journal of Translational Engineering in Health and Medicine
  • Adaptive Computation Partitioning and Offloading in Real-Time Sustainable Vehicular Edge Computing, 2021, IEEE Transactions on Vehicular Technology

Their frequent co-authors include Sabur Baidya, Pamela C. Cosman, Po-Han Chiang, Yu-Jen Ku, and Wenchuan Wei.

Publication venues with multiple contributions include:

  • IEEE Access
  • IEEE Transactions on Vehicular Technology
  • arXiv (Cornell University)
  • IEEE Journal of Biomedical and Health Informatics
  • ACM Transactions on Embedded Computing Systems

Dey's work is situated at the intersection of computer science and engineering. The majority of their publications are in computer vision and pattern recognition, computer networks and communications, electrical and electronic engineering, automotive engineering, and cardiology and cardiovascular medicine.

In 2014, Sujit Dey was recognized as an IEEE Fellow for contributions to the design and testing of low-power systems and system-on-chips.

Best Publications

  • Testing embedded-core-based system chips

    Y. Zorian;E.J. Marinissen;S. Dey

  • Battery-Driven System Design: A New Frontier in Low Power Design

    K. Lahiri;A. Raghunathan;S. Dey;D. Panigrahi

  • An interconnect architecture for networking systems on chips

    F. Karim;A. Nguyen;S. Dey

  • Video-aware scheduling and caching in the radio access network

    Hasti Ahlehagh;Sujit Dey

  • High-Level Power Analysis and Optimization

    Anand Raghunathan;Niraj K. Jha;Sujit Dey

  • Fault modeling and simulation for crosstalk in system-on-chip interconnects

    Michael Cuviello;Sujit Dey;Xiaoliang Bai;Yi Zhao

  • Software-based self-testing methodology for processor cores

    Li Chen;S. Dey

  • Battery life estimation of mobile embedded systems

    D. Panigrahi;C. Chiasserini;S. Dey

  • System-level performance analysis for designing on-chip communication architectures

    K. Lahiri;A. Raghunathan;S. Dey

  • Adaptive Mobile Cloud Computing to Enable Rich Mobile Multimedia Applications

    Shaoxuan Wang;S. Dey

  • On-chip communication architecture for OC-768 network processors

    Faraydon Karim;Anh Nguyen;Sujit Dey;Ramesh Rao

  • A scalable software-based self-test methodology for programmable processors

    Li Chen;Srivaths Ravi;Anand Raghunathan;Sujit Dey

  • Evaluation of the traffic-performance characteristics of system-on-chip communication architectures

    K. Lahiri;A. Raghunathan;S. Dey

  • Design space exploration for optimizing on-chip communication architectures

    K. Lahiri;A. Raghunathan;S. Dey

  • Register-transfer level estimation techniques for switching activity and power consumption

    Anand Raghunathan;Sujit Dey;Niraj K. Jha

  • Deriving and Validating User Experience Model for DASH Video Streaming

    Yao Liu;Sujit Dey;Fatih Ulupinar;Michael Luby

  • Efficient exploration of the SoC communication architecture design space

    Kanishka Lahiri;Anand Raghunathan;Sujit Dey

  • Embedded software-based self-test for programmable core-based designs

    A. Krstic;Wei-Cheng Lai;Kwang-Ting Cheng;L. Chen

  • Video caching in Radio Access Network: Impact on delay and capacity

    Hasti Ahlehagh;Sujit Dey

  • System and method for video caching in wireless networks

    Sujit Dey;Hasti Ahlehagh

  • Test of future system-on-chips

    Yervant Zorian;Sujit Dey;Michael J. Rodgers

Frequent Co-Authors

Anand Raghunathan
Anand Raghunathan Purdue University West Lafayette
Niraj K. Jha
Niraj K. Jha Princeton University
Miodrag Potkonjak
Miodrag Potkonjak University of California, Los Angeles
Luciano Lavagno
Luciano Lavagno Polytechnic University of Turin
Srimat T. Chakradhar
Srimat T. Chakradhar NEC (United States)
Kaushik Roy
Kaushik Roy Purdue University West Lafayette
Rajesh Gupta
Rajesh Gupta University of California, San Diego
Curt Schurgers
Curt Schurgers University of California, San Diego
Kwang-Ting Cheng
Kwang-Ting Cheng Hong Kong University of Science and Technology

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