ASME

Journal of Computing and Information Science in Engineering

Vinayak  
Krishnamurthy
VinyakPS

Areas of Interest

COMPUTATIONAL GEOMETRY & GEOMETRY PROCESSING
COMPUTER-AIDED DESIGN AND MANUFACTURING
Vinayak Krishnamurthy is an Associate Professor and Morris E. Foster Faculty Fellow in the J. Mike Walker’66 Department of Mechanical Engineering and an affiliated faculty in the Department of Computer Science at Texas A&M University. He directs the Mixed-Initiative Design Lab (MIDL) at Texas A&M University. His research is at the interface of geometric & topological computing, human-computer interaction, and artificial intelligence. He applies the knowledge gained in these areas to various domains such as metamaterial design, extended reality for design, computational fabrication, data-driven design, collaborative design, autonomous systems, surgical training, and engineering education. His dissertation research led to the commercial deployment of zPots, a virtual pottery app using Leap Motion controller in collaboration with zeroUI, a California-based startup. He is the recipient of multiple awards including the NSF CAREER award, ASME CIE Young Engineer Award, two ASME CIE best paper awards, and the Peggy L. and Charles L. Brittan Teaching Award for Outstanding Undergraduate Teaching and the TAMU Association of Former Students College Level Teaching Award.

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Announcements

July 17 Spotlight: “Information Embedding in Additively Manufactured Parts Through Printing Speed Control” 

A recording is now available for the July 17, 2024 JCISE Spotlight talk by Professor Jitesh Panchal on paper co-authored with Karim A. ElSayed entitled “Information Embedding in Additively Manufactured Parts Through Printing Speed Control” J. Comput. Inf. Sci. Eng. J. Comput. Inf. Sci. Eng. Jul 2024, 24(7): 071005 (10 pages) Paper No: JCISE-23-1496 https://doi.org/10.1115/1.4065089.

Announcements

June 18, 2024 Spotlight: “Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model Using Probabilistic Learning With Partial Observability and Incomplete Dataset”

A recording is now available on Youtube for the June 18, 2024 Spotlight talk by Professor Christian Soize (Université Gustave Eiffel) on his paper “Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model Using Probabilistic Learning With Partial Observability and Incomplete Dataset,”

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