Dr. Himadri Sekhar Roy
KIIT University, University of Petroleum and Energy Studies, Jadavpur University, West Bengal Council of Higher Secondary Education, ESATECH SYSTEMS PVT. LTD
About
Himadri Sekhar Roy completed his PhD in Computer Science and Engineering from Jadavpur University, Kolkata, and has also gained industry experience as a Senior Developer and Senior Associate. His professional background and doctoral research have equipped him with a diverse skill set, particularly in progressive full-stack web application development and Big Data storage and processing. His research focuses on scalable, high-performance data storage systems in Big Data environments, with a specialisation in healthcare applications. Additionally, he has explored the utilisation of cloud-based infrastructures and mobile ad hoc networks (MANETs) for video streaming and IoT applications.
Employment
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KIIT University Assistant Professor (II)2025 - Present
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University of Petroleum and Energy Studies Assistant Professor2025 - 2025
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ESATECH SYSTEMS PVT. LTD Senior Associate2011 - 2016
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Remote Programmer Pvt Ltd Senior Web Developer2010 - 2011
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LEADS COMPUSOFT PVT. LTD. Software Trainee2009 - 2010
Education
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Jadavpur University Ph.D2018 - 2025
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West Bengal Council of Higher Secondary Education HIGHER SECONDERY [12TH STD.]2003 - 2005
Projects & Funding
Projects & funding information is unavailable.
Publications (10)
- A cross-layer fragmentation approach to video streaming over mobile ad-hoc network using BATMAN-Adv Save
- A Survey of Big Data Tools for Remote Healthcare Services Save
- Strategic Network Model for Real-Time Video Streaming and Interactive Applications in IoT-MANET Save
- Cloud-based Remote Healthcare Delivery and Its Impact on Society: A Case Study Save
- Image Data Handling in a Multinode Environment Using MPI Save
- Performance Enhancement in Big Data by Guided Map Reduce Save
- Performance Enhancement in Big Data handling Save
- Performance Enhancement in Big Data handling Save
- E-healthcare delivery solution Save
- Comparative study of query performance in a remote health framework using Cassandra and Hadoop Save