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Department of Computer Science and Technology

  • PhD Student

Biography

I’m a final year PhD student at the Graphics and Interaction (Rainbow) Group at the University of Cambridge under the supervision of Dr Rafał Mantiuk. As a Marie-Curie Early Stage Researcher in the European ITN RealVision Project, my research primarily focuses on perceptual optimisation of real-time graphics. My recent work investigates the subjective evaluation of image artefacts under motion and the application of visual models to quality optimisation in low bandwidth rendering.

Prior to my PhD, I worked as a Software Engineer in Research and Innovation Team at WalmartLabs, Bangalore (India). My work there involved 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.

I received my Bachelor’s and Master’s in Information Technology from the 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.

Research

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

Publications

  • Akshay Jindal, Krzysztof Wolski, Karol Myszkowski, and Rafał K. Mantiuk. 2021. Perceptual model for adaptive local shading and refresh rate. ACM Trans. Graph. (SIGGRAPH Asia 2021) 40, 6, Article 281.
  • Fangcheng Zhong, Akshay Jindal, Ali Özgür Yöntem, Param Hanji, Simon J. Watt, and Rafał K. Mantiuk. 2021. Reproducing reality with a high-dynamic-range multi-focal stereo display. ACM Trans. Graph. (SIGGRAPH Asia 2021) 40, 6, Article 241.
  • Gyorgy Denes, Akshay Jindal, Aliaksei Mikhailiuk, and Rafał K. Mantiuk. 2020. A perceptual model of motion quality for rendering with adaptive refresh rate and resolution. ACM Trans. Graph. (SIGGRAPH 2020) 39, 4, Article 133.
  • J. Sreevalsan-Nair, A. Jindal and B. Kumari, "Contour Extraction in Buildings in Airborne LiDAR Point Clouds Using Multiscale Local Geometric Descriptors and Visual Analytics," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 7, July 2018.
  • J. Sreevalsan-Nair and A. Jindal, "Using gradients and tensor voting in 3D local geometric descriptors for feature detection in airborne lidar point clouds in urban regions," 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017.
  • Akshay Jindal and Shrisha Rao. 2017. Agent-Based Modeling and Simulation of Mosquito-Borne Disease Transmission. In Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS '17).

Contact Details

Room: 
SS20
Office phone: 
(01223) 7-63531
Email: 

aj577@cam.ac.uk