Shivanand Sheshappanavar is an Assistant Professor and researcher with nine years of experience specializing in 3D computer vision, deep learning, and mesh/point cloud classification, applying these methods to agriculture, heritage, and transportation infrastructure. He earned a PhD in Computer Science from the University of Delaware and has published at top venues including ICCV Workshops, ACM Multimedia, and ICIP. At the University of Wyoming he balances a research-heavy role with teaching and service, building practical data acquisition pipelines and domain-adapted vision systems. His background spans industry (Oracle) and academia (Syracuse, Delaware), giving him a pragmatic approach to moving algorithms from prototype to field deployment. Colleagues value his collaborative, creative mindset and the unusual combination of deep theoretical work with hands-on dataset curation and large quiz/question repositories for scalable teaching.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Delaware
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Syracuse University
Master of Technology - MTech, Computer Science, Master of Technology - MTech, Computer Science at RV College Of Engineering
Bachelor of Engineering - BE, CSE, Bachelor of Engineering - BE, CSE at M S Ramaiah Institute of Technology
Contributions:19 commits, 18 pushes, 1 branch in 3 months
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Shivanand Sheshappanavar - Assistant Professor at University of Wyoming