Dinesh K. Bhatia
Professor and Associate Department Head for Graduate Studies
Dinesh Bhatia is a faculty member in the Erik Jonsson School of Engineering and Computer Science at the University of Texas at Dallas. He directs research activities within the IDEA (Integrated Design, Engineering, and Algorithmics) Labs. He holds Bachelors in Electrical Engineering and Masters and Ph.D. in Computer Science. He is a senior member of IEEE, Circuits and Systems Society, Association for Computing Machinery (ACM), and Eta Kappa Nu. He was IEEE Circuits and Systems society’s distinguished lecturer for 2007-2008. He has served on program, technical, and steering commitees for over fifty conferences. He was the General Chair for the International Conference on Body Sensor Networks for 2011. He was Associate Editor for IEEE Transactions on Computers.
He has extensive experience in building large scale FPGA based embedded and reconfigurable systems for managing performance, power, and other aspects of VLSI Design. Some of these activities include principal designer and investigator for RACE and NEBULA systems for Wright Laboratories of USAF, principal investigator for DARPA funded REACT program, Co-PI on AFRL funded SPARCs program and several more. He has collaborated on phase 1 and phase 2 SBIR programs to build product prototypes.
He has also developed body sensor network based wireless patient monitoring systems for ICU, hospital, home, and remote locations. He is architect of several patient monitoring solutions that gather patient’s vital and contextual data and transmit them to central facilities for storage, analysis, and assisting in decisions for caregivers and healthcare providers. He is very interested and is constantly exploring disruptive technologies for next generation living and healthcare environments.
He is experienced in litigations related to patent infringement and has worked with distinguished law firm while examining claims. He has filed disclosures related to his own research and is available for consulting, reporting, and testifying.
Downloads: Detailed Biography [PDF]
Current Research Focus:
Architecture and Computer Aided Design for Field Programmable Gate Arrays (FPGAs), Reconfigurable Computing, Custom Computing Systems with applications in big data analytics, deep learning, and high performance computing.
Power Electronics, Converters, Power Supplies, Smart Energy. Use of FPGAs in industrial applications.
Digital Circuit Design - Fall 2015
Physical Design Automation of VLSI Systems - Fall 2015
Design and Analysis of Reconfigurable Systems - Spring 2015
When Not Teaching
I enjoy photography - my website