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Department of Computer Science and Technology

  • PhD Student


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.


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


  • 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).

Journal articles

  • Sreevalsan-Nair, J., Jindal, A. and Kumari, B., 2018. Contour extraction in buildings in airborne lidar point clouds using multiscale local geometric descriptors and visual analytics IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 11
  • Denes, G., Jindal, A., Mikhailiuk, A. and Mantiuk, R., A perceptual model of motion quality for rendering with adaptive refresh-rate and resolution ACM Transactions on Graphics,
  • Contact Details

    Office phone: 
    (01223) 7-63531