Computer Laboratory

Akshay Jindal

Research Interest

My current research is focused on computer graphics, rendering for hyper-realistic displays and applied perception.

About Me

I am from India where I received my Bachelor’s and Master’s in Information Technology from International Institute of Information Technology, Bangalore in 2017. During my Master’s, I worked on tensor-based analysis of LiDAR point clouds to improve their structural classification, developed new techniques for 3D reconstruction using user-guided methods and built tools for Visual Analytics involving point/glyph rendering for large-scale data.

After graduation, I joined the Research and Innovation Team at WalmartLabs, Bangalore (India) as a Software Engineer. My work there was primarily focused on the development of real-time graphics, particularly, Virtual Reality (VR) and Augmented Reality (AR). Working there, I gained experience in building large-scale procedural virtual worlds, performance optimizations for VR and programming with low-level graphics APIs to build AR experiences on native mobile applications.

In January 2019, I joined the Graphics and Interaction (Rainbow) Group at the University of Cambridge as a PhD student under the supervision of Dr Rafał Mantiuk. As a Marie-Curie Early Stage Researcher in the European ITN RealVision Project, my work will involve research into the real-time rendering techniques for realistic reproduction of images and videos on future displays. I will also investigate efficient data representation of content intended for future display technologies.

LinkedIn. Google Scholar. Github.


  • Denes, G., Jindal, A., Mikhailiuk, A., & Mantiuk, R. K. (2020). A perceptual model of motion quality for rendering with adaptive refresh-rate and resolution. ACM Transactions on Graphics (TOG), 39(4), 133-1.
  • Contour Extraction in Buildings in Airborne LiDAR Point Clouds Using Multi-scale Local Geometric Descriptors and Visual Analytics J. Sreevalsan-Nair, A. Jindal, and B. Kumari. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2018).
  • Using Gradients and Tensor Voting in 3D Local Geometric Descriptors for Feature Detection in Airborne LiDAR Point Clouds in Urban Regions J.Sreevalsan-Nair, and A. Jindal. in the Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, July 2017.
  • Agent-Based Modeling and Simulation of Mosquito-Borne Disease Transmissions Akshay Jindal and Shrisha Rao. In Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS '17).


Email: aj577 [at] cam [dot] ac [dot] uk
Phone: +44 (0)1223 763531
Office: SS20, Computer Laboratory
Address: Computer Laboratory, William Gates Building, 15 JJ Thomson Ave, Cambridge CB3 0FD

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