vijay kumar

About

Dr. Vijay Kumar holds a PhD from IIT Delhi's Amar Nath and Shashi Khosla School of Information Technology, specializing in Fundus Imaging-based healthcare solutions for infants with ROP. He has extensive experience in both industry and academia, having worked as an IoT/IIoT solution developer at Tata Technologies Ltd. and completing an internship at AIML Ltd., where he developed an automated sieve calibration unit.

He holds a Master of Science in Research from IIT Delhi and has contributed to several projects sponsored by ICMR, MeiTY, and TCIL. As a Project Research Associate at the National Physics Laboratory Delhi (CSIR), he developed affordable healthcare devices, including oximeters and ECG monitors.

Dr. Kumar earned his B.Tech in Electronics and Communication Engineering from Shri Mata Vaishno Devi University, where he researched wireless sensor networks. His diverse research interests include medical image processing, embedded systems, wearable devices, MEMS sensor applications, and IoT. Recently, he interned with the MEMS Sensor group at ST Microelectronics, focusing on wearable healthcare devices.

Currently, Dr. Vijay Kumar is a Principal Project Scientist at the Amar Nath and Shashi Khosla School of Information Technology, IIT Delhi.

Employment

• Indian Institute of Technology Delhi Principal Project Scientist
  2024 - Present

Education

• Indian Institute of Technology Delhi PhD
  2018 - 2024
• Indian Institute of Technology Delhi MS(R)
  2013 - 2016
• Shri Mata Vaishno Devi University B Tech
  2006 - 2010

Projects & Funding

Projects & funding information is unavailable.

Publications (17)

• PROVIMAPS: A Framework for Medical Image Data Provenance and Integrity in Medical Cyber-Physical Systems
  ACM Transactions on Computing for Healthcare 2026 DOI: 10.1145/3815417
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• NetraDeep: An Integrated Deep Learning and Image Processing System for Precise Detection of Hard Exudates
  ACM Transactions on Computing for Healthcare 2024 DOI: 10.1145/3681796
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• CUFFLESS BLOOD PRESSURE MONITOR WITH MULTIPLE INERTIAL MEASUREMENT UNITS
  2024
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• Deep Learning-assisted Retinopathy of Prematurity (ROP) Screening
  ACM Transactions on Computing for Healthcare 2023 DOI: 10.1145/3596223
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• Fundus Imaging-Based Healthcare: Present and Future
  ACM Transactions on Computing for Healthcare 2023 DOI: 10.1145/3586580
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• Device Fingerprinting for Cyber-Physical System: A Survey
  ACM Computing Surveys 2023 DOI: 10.1145/3584944
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• Deep Learning Assisted Plus Disease Screening of Retinal Image of Infants
  Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies 2023 DOI: 10.5220/0011803700003414
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• DL-Assisted ROP Screening Technique
  Biomedical Engineering Systems and Technologies 2022
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• Improved Blood Vessels Segmentation of Retinal Image of Infants
  Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies 2022 DOI: 10.5220/0010849800003123
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• DL-Assisted ROP Screening Technique
  Communications in Computer and Information Science 2022 DOI: 10.1007/978-3-031-20664-1_13
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