# [[👤Akshat Dave]]: - [[Artificial Intelligence]] - [[👤Akshat Dave]] *** Akshat Dave is a prominent researcher and innovator in the fields of computer vision, computational imaging, and machine learning. Here's a comprehensive overview of his background, achievements, and current work: ## Education and Academic Background Akshat Dave completed his Ph.D. from the Computational Imaging Lab at Rice University, where he was advised by Prof. Ashok Veeraraghavan[1]. Prior to his doctoral studies, he received his Master's and Bachelor's degrees from the Indian Institute of Technology Madras, where he worked with Prof. Kaushik Mitra on solving inverse problems using deep learning[1]. ## Current Position and Research Focus Currently, Dr. Dave is a Postdoctoral Associate at the MIT Media Lab, working in the Camera Culture group led by Prof. Ramesh Raskar[1]. His research interests lie at the intersection of vision, graphics, optics, and machine learning[1]. Specifically, he focuses on: - Co-designing cameras and algorithms that exploit unique properties of light - Non-line-of-sight imaging using ultrafast time-of-flight cameras - Radiance decomposition using polarization cameras - Solving challenging imaging and vision problems ## Notable Achievements and Recognition Dr. Dave's work has garnered significant recognition in the field: - Awarded the Ralph Budd Best Thesis Award[5] - Received the OSA Best Paper Prize[5] - Granted the Texas Instruments Fellowship for Ph.D. study in 2017[7] ## Key Research Contributions Some of Dr. Dave's notable research contributions include: 1. **Polarization-based visual computing**: Developing techniques to uncover geometry, lighting, and material properties of captured scenes using light polarization[2][8]. 2. **Thermal image processing**: Working on physics-inspired deep networks for thermal image processing[4]. 3. **Non-line-of-sight imaging**: Investigating the role of transients in two-bounce non-line-of-sight imaging[4]. 4. **Neural inverse rendering**: Improving techniques by exploiting polarization cues[15]. 5. **Snapshot polarimetric diffuse-specular separation**: Developing methods for separating diffuse and specular components in polarimetric imaging[4]. ## Professional Experience Beyond his academic work, Dr. Dave has gained industry experience: - Worked as a Research Intern at Adobe Research in Dr. Kalyan Sunkavalli's group[1]. - Collaborated with various institutions and companies on cutting-edge research projects[4]. ## Publications and Academic Output Dr. Dave has an impressive publication record: - Published in prestigious journals and conferences, including IEEE/CVF International Conference on Computer Vision, Optics Express, and arXiv[4]. - His work has been cited over 6,500 times, demonstrating significant impact in the field[4]. ## Current Projects and Future Directions Dr. Dave continues to push the boundaries of computational imaging and computer vision: - Working on next-generation vision systems leveraging polarization and time-of-flight of light[4]. - Exploring applications of AI in enhancing human vision capabilities[5]. - Developing novel techniques for 3D satellite understanding and lighting decomposition[4]. Akshat Dave's work represents significant advancements in computational imaging and computer vision, with potential applications ranging from enhanced visual perception to satellite imaging and beyond. His research continues to contribute to the development of next-generation imaging technologies and AI-driven visual computing systems. Citations: [1] https://akshatdave.github.io [2] https://www.linkedin.com/in/akshat-dave-54baa781 [3] https://twitter.com/adaveiitm [4] https://scholar.google.com/citations?hl=en&user=mMnHusUAAAAJ [5] https://www.youtube.com/watch?v=FqXX4r4rXt4 [6] https://dblp.org/pid/126/0916 [7] https://bpb-us-e1.wpmucdn.com/blogs.rice.edu/dist/4/9498/files/2019/06/My_Resume_Rice.pdf [8] https://akshatdave.github.io/data/Akshat_Resume_from_Dec_2022.pdf [9] https://www.behance.net/akshatdave6ba1 [10] https://github.com/akshatdave [11] https://www.semanticscholar.org/author/Akshat-Dave/32134234 [12] https://www.linkedin.com/pub/dir/Akshat/Dave [13] https://www.zoominfo.com/p/Akshat-Dave/1933121857 [14] https://www.researchgate.net/scientific-contributions/Akshat-Dave-2159190531 [15] https://x.com/adaveiitm