Tushar Shinde currently serves as an Assistant Professor at the Indian Institute of Technology Madras Zanzibar. His professional journey includes a role as a postdoctoral researcher at Stanford University, USA, where he contributed to dose prediction in radiotherapy planning, medical image compression, and video compression. Having earned his M.Tech. and Ph.D. degrees from the Indian Institute of Technology Jodhpur in 2015 and 2020, respectively, focusing on efficient motion estimation and predictive coding, Dr. Shinde's expertise extends globally. His international research engagements include being a Sakura Science Exchange Student Researcher at Hiroshima University, Japan, and an Exchange Student Researcher at Shanghai Jiao Tong University, China.

In the realm of industry, Dr. Shinde held a Senior Engineer position at Qualcomm, Hyderabad, specializing in enhancing compression efficiency for video codecs in Qualcomm chipsets. Additionally, his entrepreneurial pursuits as an Entrepreneur in Residence at Entrepreneur First Hong Kong showcased his involvement in team formation and ideation for deep-tech startups. During his tenure at Infosys, Pune, as a System Engineer, he made technical contributions to full-stack software development.

Dr. Shinde's notable achievements include winning the 3 Minute Thesis (3MT) Competition at ICIP 2018, Athens, Greece, being selected for the Sakura Science Exchange Program by the Japan Science and Technology Agency in 2019, and representing India as a Youth Delegate in 2017 in Sochi, Russia. Acknowledged with the Best Student Award at IIT Jodhpur, Dr. Shinde continued to make an impact as a Keynote Speaker at the International Conference on RAMMML 2023. Recognition through grants and fellowships, such as the Walmart Center of Technical Excellence (IIT Madras) Project Grant Award, Stanford University Medical Physics Division Trainee Seed Grant Award, and the Visvesvaraya Ph.D. Fellowship further highlights his dedication and contributions to research. Dr. Shinde currently serves as a Special Session Chair at IPTA 2024, VCIP 2024, ICASSP 2025, ICME 2025. He has authored publications in top journals and conferences, including Signal Processing: Image Communications, IEEE Multimedia, ICASSP, DSP, ICIP, GlobalSIP, PCS, AAPM, ICCR, NeurIPSw 2024, WACVw 2025, ICLRw 2025, ICMLw 2025, ICCVw, and CVPRw 2025. 

His research interests include:

• Image and video processing, including perceptual quality assessment, motion estimation, and document image analysis.

• Model compression for Edge AI using pruning, quantization (adaptive and mixed-precision), and coreset selection.

• Video compression and quality assessment with novel visual quality metrics for AI-generated and asymmetric video content.

• Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning algorithm design for vision, speech, and healthcare.

• Applications of AI/ML in data science, remote sensing, agriculture, medical imaging, autonomous driving, and speech emotion recognition.

Selected Highlights

• 2025/08 2 prizes at IJCAI 2025 🇨🇦 [🥈 Silver ($300) and 🥉 Bronze ($100) prizes in Challenge on Characterizing User Behavior in Social Networks: Propagation, Prediction, and Sensemaking (Student members: Rohan and Aisha)]

• 2025/07 2 works accepted at ICMLw 2025 🇨🇦 [🥈 2nd Prize ($500) in CO-BUILD Competition (Student members: Rohan)]

• 2025/07 1 work accepted at ICCVw 2025🇺🇸

• 2025/06 1 work accepted at ICIP 2025 🇺🇸

• 2025/05 1 work accepted at DSP 2025 🇬🇷

• 2025/04 4 works accepted at CVPRw 2025 🇺🇸 [Shivaanee, selected for the WiCV@CVPR 2025 travel grant.]

• 2025/03 2 works accepted at ICLRw 2025 🇸🇬 [Ahmed, selected for the €1500 travel grant from ML4RS 2025.]

• 2025/02 1 demo accepted at Show and Tell Session at ICASSP 2025 🇮🇳

• 2025/01 3 works accepted at WACVw 2025 🇺🇸

• 2024/10 3 works accepted at NeurIPSw 2024 🇨🇦

• 2024/10 1 work accepted and Session Chair at IPTA 2024 🇲🇦