Email:  ad74[at]mit.edu

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I am a Postdoctoral Associate at MIT Media Lab in the Camera Culture group led by Prof. Ramesh Raskar. I received my Ph.D. from Rice University where I was advised by Prof. Ashok Veeraraghavan. My work has been recognized by Ralph Budd best thesis award, OSA best paper prize and fellowships by Texas Instruments and Qualcomm.

My research lies at the intersection of applied optics, computer vision and machine learning. I develop computational imaging systems that enhance our vision by allowing us to perceive what was previously invisible. This involves the synergistic co-design of advanced cameras that capture unique light properties and AI algorithms that can analyze complex light phenomena.These systems can transform critical applications including safe autonomous navigation, immersive virtual reality and non-invasive biomedical imaging.

I am on the 2024-2025 academic job market.
I am actively looking for self-motivated undergraduate and graduate students to collaborate. Feel free to email me.

Research Overview
News
Talks
  • [2024/06] Invited Talk @ TEDxBoston in 'Quin House
  • [2024/06] Invited Talk @ CCD Workshop in CVPR 2024
  • [2024/05] Invited Talk @ Janelia Computational Optics Conference 2024
  • [2024/02] Invited Talk @ Meta Polarization Workshop 2024
  • [2023/12] Doctoral Consortium @ SIGGRAPH Asia 2023
  • [2023/08] Course on Polarization @ SIGGRAPH 2023
  • [2023/08] Invited Talk @ University of Washington
  • [2023/04] Grundfest Lecture @ University of California, Los Angeles
  • [Show more]

TEDxBoston @ The 'Quin House
Grundfest Lecture @ UCLA
Publications   ( show highlighted / show by date / show by topic )
Keywords:  Polarization •  Time of Flight •  Single Photon •  Neural Rendering •  Deep Priors •  AR/VR •  Seeing Around Corners •  Stress Analysis
(* indicates equal contribution)















DeepIR: A Deep Network-based Image Processing Framework for Thermal Images
Vishwanath Saragadam , Akshat Dave , Ashok Veeraraghavan , Richard Baraniuk
IEEE/CVF International Conference on Computer Vision Workshop (ICCV Workshop) , 2021
[PDF] [Code]

Foveated Non-line-of-sight Imaging
Akshat Dave , Muralidhar Madabhushi Balaji , Prasanna Rangarajan , Ashok Veeraraghavan , Marc P Christensen
Conference on Computational Optical Sensing and Imaging (COSI) , 2020
[Link] [Preprint] Best Paper Award


SNLOS: Non-line-of-sight Scanning through Temporal Focusing
Adithya Pediredla* , Akshat Dave* , Ashok Veeraraghavan
IEEE International Conference on Computational Photography (ICCP) , 2019
[Preprint]


SILC: Smoother Imitation with Lipschitz Costs
Sapana Chaudhary* , Akshat Dave* , Balaraman Ravindran
International Conference on Machine Learning Workshop (ICML Workshop) , 2018
[PDF]


IITMSAT Communications System - A LeanSat Design Approach
Akshay Gulati , Shubham Chavan , Akshat Dave , et al.
IAA Conference on University Satellites Missions & CubeSat Workshop (USMCW) , 2015
[Paper]


Honors and Awards

Professional Service


Design and source code modifed from Yuzhe Yang's webpage with permission.