Suresh S. Muknahallipatna
EECS
Professor

Current Research Interests:
Medical Image Segmentation using Deep Learning
Approaches to segment organs and tumors in MRI, CT-Scan and Ultrasound images using Deep Learning Networks are being researched. Deep learning networks like Convolution Neural Network (CNN), Reinforcement Neural Network (RNN) and Generative Adversarial Network (GNN) are being researched.
Transient Stability and Contingency Analysis of Modern Power Grid using HPC and Machine
Learning Approaches
Using GPGPU based HPC, algorithms to solve Ordinary Differential Equations (ODEs) parallel in time have been researched. Machine learning algorithms are being researched to perform contingency analysis.
High Performance Computing and Visualization in Climate Research
GPGPU based HPC is being researched to accelerate climate codes like MPAS and WRF. AR devices have been used to visualize hurricanes.
Augmented Reality (AR) Devices for Medical Applications
Additional Information
Education
- Bachelor of Engineering (EE), University of Bangalore, India, 1988
- Master of Engineering (EE), University of Bangalore, India, 1991
- Ph.D. Electrical Engineering, University of Wyoming, 1995
Academic Experience
Professor: July 2010 to present, University of Wyoming
Associate Professor: July 2003 – June 2010, University of Wyoming
Assistant Professor: August 1997 – June 2003, University of Wyoming
Temporary Assistant Professor: August 1995 – July 1997, University of Wyoming
Honors and Awards
- Samuel D. Hakes Outstanding Graduate Research and Teaching Award, 2009
- Microsoft Most Valuable Professional Award for 2006, 2005 and 2004
- IEEE Senior Member (computer society) - 2005
- Tau Beta Pi Engineering Honor Society
- Phi Kappa Phi Honor Society
- 1st Rank, Master of Engineering, University of Bangalore, India