Suresh S. Muknahallipatna

Suresh S. Muknahallipatna

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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

 

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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