Shashank Sridhara is a PhD researcher in electrical engineering specializing in multimedia and graph signal processing, with nine years of experience bridging academic research and industry R&D. He develops graph-based 3D point cloud and 3D Gaussian splatting compression techniques and has translated research into practical outcomes including an MPEG contribution and two patents. Currently a Senior Researcher at Dolby focusing on learned image and video compression (rate–distortion–perception tradeoffs) after internships at Sony and Dolby, he brings both theoretical depth and applied optimization skills. His background includes an honors MS from USC, prior software engineering experience at Allstate and a project stint at ISRO, reflecting a mix of systems-level development and signal-processing expertise. Notably, his work pairs graph learning and sampling theory with machine learning to tackle ultra-low-bitrate media compression challenges.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical Engineering (Signal and Image Processing), Doctor of Philosophy - PhD, Electrical Engineering (Signal and Image Processing) at University of Southern California
Bachelor of Engineering , Electronics and Communication Engineering, Bachelor of Engineering , Electronics and Communication Engineering at Sri Jayachamarajendra College Of Engineering
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