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Photo of Dr. Tushar Shinde

Dr. Tushar Shinde

Faculty - School of Engg. & Science

shinde@iitmz.ac.in

website

Educational Qualifications

Postdoc 2023

School of Medicine

Stanford University

Ph.D. 2020

Electrical Engineering

Indian Institute of Technology Jodhpur

M.Tech. 2015

Information & Communication Technology

Indian Institute of Technology Jodhpur

B.Tech. 2011

Electronics Engineering

W. C. E. Sangli

Awards

  • Winner (among 17 finalists across the globe) in the 3 Minute Thesis (3MT)

    Competition at ICIP 2018, Athens, Greece

  • Selected in Sakura Science Exchange Program 2019

    Administered by Japan Science and Technology Agency, Japan

  • Represented India as a Youth Delegate at the 19th World Festival of Youth and Students 2017

    Sochi, Russia

  • Finalist (among 8 finalists across the globe) in the 3 Minute Thesis (3MT) Competition

    ICIP 2019, Taipei, Taiwan

  • Honored with Best Student (Student's Gymkhana) Award 2018-19 for outstanding student activities

    IIT Jodhpur

Research Interests

My research interests are centered around Image and Video Processing, Video Coding and Compression, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and applications of AI/ML in Healthcare and Data Science.

Selected Papers

2020

Background foreground boundary aware efficient motion search for surveillance videos

Shinde, T.

Tiwari, A.K.

Lin, W.

Shen, L.

Signal Processing: Image Communication, 82, p.115775

2020

Adaptive lossless compression of skeleton sequences

Lin, W.

Shinde, T.

Dai, W.

Liu, M.

He, X.

Tiwari, A.K.

Xiong, H.

Signal Processing: Image Communication, 80, p.115659

2020

Key-point sequence lossless compression for intelligent video analysis

Lin, W.

He, X.

Dai, W.

See, J.

Shinde, T.

Xiong, H.

Duan, L.

IEEE MultiMedia, 27(3), p.12-22

2023

Dose Level Prediction Using Off-the-Shelf Segmentation Network—a Spine SBRT Example

Shinde, T.

et al.

American Association of Physicists in Medicine (AAPM) 2023

2022

Adaptive Pixel-based Direction Oriented Fast Motion Estimation for Predictive Coding

Shinde, T.

IEEE Picture Coding Symposium (PCS) 2022