About Me
I am a Postdoctoral Associate at MIT Media Lab with Prof. Ramesh Raskar. I received my Ph.D. from Rice University ECE Department where I was advised by Prof. Ashok Veeraraghavan. Before Rice, I obtained B.Tech. and M.Tech from Indian Institute of Technology Madras. My work has been recognized by Rice University's Best Ph.D. Thesis Award, Optica Best Paper Prize and fellowships by Texas Instruments and Qualcomm. I am on the 2024-2025 academic job market. Here is my CV and research, teaching and diversity statements.
Research Overview
My research is on creating vision systems that surpass human perception, allowing machines to see the invisible. These superhuman vision systems can, for instance, see beyond line-of-sight, reveal material properties of objects and detect internal mechanical stress—enabling critical applications such as navigation in adverse conditions, noninvasive biomedical imaging and smart infrastructure monitoring.
My research leverages the synergy between optics, graphics and machine learning using three pillars:
- Computational imaging of unique light dimensions, such as polarization and time-of-flight.
- Differentiable rendering of complex light transport, such as scattering and birefringence.
- Physics-based learning to extract hidden information, such as through neural representations and priors.
News
- "Neural Stress Tensor Tomography leveraging 3D Photoelasticity" accepted for Transactions on Graphics.
- Honored to be selected in the 2024 cohort of INK Fellows.
- My TEDx talk "Superhuman Vision: AI Sees What You Can't" is up on Youtube.
- I am co-organizing the ECCV 2024 workshop on "Neural Fields Beyond Conventional Cameras".
- Honored to receive the 2024 Ralph Budd Award for the best engineering Ph.D thesis at Rice University.
Publications ( show highlighted / show all by date / show by topic )
Akshat Dave
[Thesis] • [Doctoral Consortium Abstract] Ralph Budd Thesis Award , SIGGRAPH Asia 2023 Doctoral Consoritum
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[Project Page] • [Paper] • [Code] • [Talk] • [MIT News] MIT Front Page Spotlight
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[Project Page] • [Paper] • [Code] • [Dataset] • [Talk]
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[Project Page] • [Paper] • [Supplement] • [Code] Oral Presentation
Talks
- Invited Talk @ TEDxBoston in 'Quin House
- Invited Talk @ CCD Workshop in CVPR 2024
- Invited Talk @ Janelia Computational Optics Conference 2024
- Invited Talk @ Meta Polarization Workshop 2024
- Doctoral Consortium @ SIGGRAPH Asia 2023
- Course on Polarization @ SIGGRAPH 2023
- Invited Talk @ University of Washington
- Grundfest Lecture @ University of California, Los Angeles
- [Show more]
TEDxBoston
The 'Quin House
Grundfest Lecture
UCLA
Honors and Awards
- Ralph Budd Award for the best Ph.D. Engineering Thesis at Rice University in 2024
- Selected for SIGGRAPH Asia 2023 Doctoral Consortium
- Lodieska Stockbridge Vaughn Fellowship in 2023 for outstanding graduate research
- Rice D2K Research Mentoring Fellowship in 2022 for datasceince solutions to real-world problems.
- Best Student Paper Prize at the 2020 OSA Imaging and Applied Optics Congress
- Texas Instruments Fellowship in 2017 for Ph.D. study at Rice University
- Qualcomm Innovation Fellowship in 2016 and 2017 for Masters thesis research
- Svaagata Erasmus Mundus Scholarship in 2015 for semester exchange at KTH University, Sweden
- All India Rank 212 amongst 1.1 million participants in undergraduate entrance exam AIEEE 2012
- KVPY National Fellowship for high school and undergraduate research by the Government of India
Professional Service
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Organizer
- ECCV 2024 Workshop on Neural Fields Beyond Conventional Cameras
- SIGGRAPH 2023 Course on Polarization-Based Visual Computing
- MIT Media Lab Fall Meeting 2023 Workshop on Extreme Sensing
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Publications Chair
- ICCP 2024
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Conference Reviewer
- SIGGRAPH • SIGGRAPH Asia • ICCP • CVPR • ECCV • IROS
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Journal Reviewer
- ACM TOG • IEEE TPAMI • IEEE TCI • OSA Optics Express • OSA Applied Optics