About me

Hello! I am Shantanu.

I am a Ph.D. Candidate in the Mixed-Initiative Design Lab at Texas A&M University, where my work bridges human-computer interaction, design, and applied artificial intelligence. My research focuses on understanding how designers reflect on and articulate their intentions, creating interactive tools for early-stage design, and analyzing user interactions through quantitative and qualitative methods. Additionally, I have contributed to the development and evaluation of adaptive training curricula for emergency responders, integrating immersive technologies like AR, VR, and XR.

I am actively seeking full-time opportunities, starting June/July 2025, and would love to connect to discuss potential collaborations or projects!

Highlights & Milestones

  1. Award: Received the Walker Impact Award from the J. Mike Walker '66 Department of Mechanical Engineering. The Walker Impact Award is awarded to four graduate students in the department for their demonstrated academic and innovative excellence.

    Fall 2024
  2. Publication: The Design and Evaluation of an AR-based Adaptive Triage Training for Emergency Responders published in Proceedings of the Human Factors and Ergonomics Society

    August 2024
  3. Award: A Geometrico-Statistical Representation for Off-Road Environments Captured by LiDAR awarded the Advanced Vehicle Technologies Technical Committee Best Paper Award at the ASME IDETC-CIE 2024.

    August 2024
  4. Fellowship: Received the J George H Thompson Fellowship from the J. Mike Walker '66 Department of Mechanical Engineering

    Fall 2024
  5. Internship: Joined Dolby Laboratories as a PhD Research Intern, working on multi-agent LLM frameworks for generating immersive virtual environments.

    May - August, 2024
  6. Summit: Attended and presented at the Future Leaders Summit 2024 hosted by MIDAS at the University of Michigan, Ann Arbor.

    April 8-10, 2024
  7. Fellowship: Received the J George H Thompson Fellowship from the J. Mike Walker '66 Department of Mechanical Engineering

    Fall 2023
  8. Publication: Adaptive Training on Basic AR Interactions: Bi-Variate Metrics and Neuroergonomic Evaluation Paradigms published in IJHCI

    August 2023
  9. Publication: Reflect–Express–Transform: Investigating Speech-Based Iterative Digital Design for Young Designers published in JCISE

    June 2023
  10. Poster Competition: Won the MEGSO Annual Poster Session hosted in the J. Mike Walker '66 Department of Mechanical Engineering

    January 2023
  11. Fellowship: Received the Byron Anderson '54 Fellowship from the J. Mike Walker '66 Department of Mechanical Engineering

    Fall 2022
  12. Publication: ShapOrator: Enabling Design Iteration for Young Designers Through Shape Verbalization published in ASME IDETC-CIE 2022

    November 2022
  13. Publication: QuickProbe: Quick Physical Prototyping-in-Context Using Physical Scaffolds in Digital Environments published in ASME IDETC-CIE 2022

    November 2022
  14. Publication: Making-a-Scene: A Preliminary Case Study on Speech-Based 3D Shape Exploration Through Scene Modeling published in JCISE

    September 2022
  15. Award: ShapOrator: Enabling Design Iteration for Young Designers Through Shape Verbalization awarded the Computer-Aided Product and Process Development (CAPPD) Technical Committee Best Paper Award at the ASME IDETC-CIE 2022.

    August 2022

Publications

  • ShapOrator

    Conference

    ShapOrator: Enabling Design Iteration for Young Designers Through Shape Verbalization

    Shantanu Vyas, Ting-Ju Chen, Jay Woodward, Vinayak R. Krishnamurthy

  • QuickProbe

    Conference

    QuickProbe: Quick Physical Prototyping-in-Context Using Physical Scaffolds in Digital Environments

    Abhijeet Singh Raina, Shantanu Vyas, Matthew Ebert, Vinayak R. Krishnamurthy

  • Making-A-Scene

    Journal

    Making-a-Scene: A Preliminary Case Study on Speech-Based 3D Shape Exploration Through Scene Modeling

    Shantanu Vyas, Ting-Ju Chen, Ronak R. Mohanty, Vinayak R. Krishnamurthy

  • OREF

    Conference

    Orthopedic Bone-Drilling Assessment Through Laplacian-Based Trajectory Noise Characterization

    Ronak R. Mohanty, Shantanu Vyas, Aman Nigam, Bruce L. Tai, Vinayak R. Krishnamurthy

  • MindMap

    Conference

    Investigating Mind-mapping as a Tool for Problem Exploration in Early Design

    Ting-Ju Chen, Shantanu Vyas, Vinayak R. Krishnamurthy

  • Journal

    Latent Embedded Graphs for Image and Shape Interpolation

    Shantanu Vyas, Ting-Ju Chen, Ronak R. Mohanty, Peng Jiang, Vinayak R. Krishnamurthy

  • Journal

    Artificial intelligence models for tooth-supported fixed and removable prosthodontics: A systematic review

    Marta Revilla-León, Miguel Gómez-Polo, Shantanu Vyas, Abdul Basir Barmak, German O Gallucci, Wael Att, Mutlu Özcan, Vinayak R Krishnamurthy

  • Journal

    Artificial intelligence applications in implant dentistry: A systematic review

    Marta Revilla-León, Miguel Gómez-Polo, Shantanu Vyas, Abdul Basir Barmak, German O Gallucci, Wael Att, Vinayak R Krishnamurthy

  • Journal

    Artificial intelligence applications in restorative dentistry: A systematic review

    Marta Revilla-León, Miguel Gómez-Polo, Shantanu Vyas, Abdul Basir Barmak, Mutlu Özcan, Wael Att, Vinayak R Krishnamurthy