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Dinesh Bhatia

Dinesh Bhatia

Professor - Electrical and Computer Engineering
 
972-883-2386
ECN4926
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Not currently accepting undergraduate students

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Professional Preparation

Ph.D. - Computer Science
University of Texas at Dallas - 1990
M.S. - Computer Science
University of Texas at Dallas - 1987
B.E. - Electrical Engineering
Regional Engineering College - 1985

Research Areas

Research Interests and Specialization
Architecture and Computer-Aided Design for Field Programmable Gate Arrays (FPGAs), Reconfigurable Computing, Custom Computing Systems, and domain-specific architectures supporting AI Systems.

Medical Electronics, Personal Medical Devices, AI in Medicine

Power Electronics, Embedded Systems.


 Others:

  •  All aspects of reconfigurable and adaptive computing architecture and CAD for field programmable gate arrays (FPGAs)
  •  Physical design automation of VLSI Systems
  •  Biomedical electronics and systems
  •  Medical devices
  •  Natural energy scavenging
  •  Applications of wireless sensor networks.
Teaching Interests
  •  Physical design automation of VLSI systems,
  •  Digital Logic, Switching theory,
  •  Reconfigurable computing,
  •  Introduction to Engineering and Contemporary topics in Engineering
  •  VLSI systems,
  •  Data structures and algorithms,
  •  Microsystems design,
  •  VLSI architecture,
  •  Combinatorial optimization, Graph theory and algorithms.

Publications

FPGA-Accelerated CNN Reconstruction for Low-Power Sparse-Array Ultrasound Imaging 2025 - Journal Article
Assistive Technology for Neurological, Geriatric, and Pediatric Bladder Care: A Low-Power Wearable Ultrasound Solution 2025 - Conference Paper
Machine learning based fast and accurate High Level Synthesis design space exploration: From graph to synthesis 2023 - Journal Article
Application of Machine Learning in FPGA EDA Tool Development 2023 - Journal Article
PPA Based CNN Architecture Explorer 2022 - Conference Paper
Robust Estimation of FPGA Resources and Performance from CNN Models 2022 - Conference Paper
Predicting Post-Route Quality of Results Estimates for HLS Designs using Machine Learning 2022 - Conference Paper
MLSBench: A Benchmark Set for Machine Learning based FPGA HLS Design Flows 2022 - Conference Paper

Awards

Circuits and Systems Society Distinguished Lecturer. - IEEE [2007]
William H. Middendorf Award for Research Excellence - ECECS Department, University of Cincinnati [1995]

Appointments

Department Head
Electrical and Computer Engineering [2024–Present]
Professor
University of Texas at Dallas [2010–Present]
Program Head
University of Texas at Dallas [2004–2006]
Erik Jonsson School of Engineering and Computer Science
Associate Professor
University of Texas at Dallas [2000–2010]
Associate Professor
University of Cincinnati [1997–2000]
Director
University of Cincinnati [1991–2000]
Assistant Professor
University of Cincinnati [1991–1997]
Visiting Assistant Professor
Southern Methodist University [1990–1991]

Presentations

Machine Learning in EDA Tool Development: An FPGA-Based Study, Tutorial Talk, Asia Pacific Circuits and Systems Conference, Hyderabad, November 19, 2023.
2023/11
Estimation and Prediction in FPGA Design Flows, Invited Talk, Electrical and Computer Engineering Department, University of Alabama, Tuscaloosa, October 16, 2024.
2024/10

Additional Information

Awards and Honors
IEEE Circuits and Systems Society Distinguished Lecturer, 2007-08.

Associate Editor, IEEE Transactions on Computers, July 1999-2003.

 Best MS Thesis Award, ECE Department, 1998-99. Karthik Gajjalapurna, Advisee.

News Articles

Event to Explore the Fast-Evolving World of Medical Devices
Event to Explore the Fast-Evolving World of Medical Devices The University of Texas at Dallas will host the first Texas Medical Device Symposium on Friday, Nov. 2.

The symposium provides an opportunity for the public to hear the latest findings in the field from leading academic researchers, clinicians and representatives of companies making the devices. The symposium also includes an opportunity for researchers to learn more about the federal process for getting a medical device approved for use.

Activities

Chair, IEEE Engineering in Medicine and Biology Society, Dallas Chapter. 2013.
Vice Chair, IEEE Engineering in Medicine and Biology Society, Dallas Chapter. (2011, 2012)
General Chair, International Conference on Body Sensor Networks (BSN 2011), Dallas, Texas, May 2011
Treasurer and Technical Program Committee, SRC Texas Analog Center of Excellence and IEEE Engineering in Medicine and Biology Workshop on Analog Circuit Challenges in Biomed Application, July 2009.

Affiliations

Senior Member, Institute of Electrical and Electronics (IEEE)
Member, IEEE Circuits and Systems Society
Member, IEEE Engineering in Medicine and Biology Society
Member, American Society for Engineering Education
Member, American Association for the Advancement of Science
Eta-Kappa-Nu
Honor Society of Phi-Kappa-Phi.