RR

Rakesh Ranjan

Also known as: R.Ranjan

Indian Institute of Technology Kharagpur, University of Petroleum and Energy Studies, National Institute of Technology Patna, National Institute of Electronics and Information Technology (NIELIT)

ORCID iD 0000-0002-0089-1734
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About

Dr. Rakesh Ranjan (Senior Member, IEEE) is an Assistant Professor in the School of Computer Science at UPES Dehradun, India. He received his B.E. degree from Pune University, his M.Tech. in Electronics Design and Technology from the National Institute of Electronics and Information Technology (NIELIT), Aurangabad, India in 2014 and 2016 respectively. Dr. Ranjan has received his Ph.D. from the National Institute of Technology (NIT) Patna, India in 2024. His doctoral research focused on brain signal analysis and synthesis, emphasizing signal denoising, artifact removal, and applications in detecting neurological disorders and healthcare systems. Before joining academia, he worked as a Junior Research Fellow at Visvesvaraya National Institute of Technology (VNIT) Nagpur under an SERB-funded project (ECR/2017/000946) on developing a dual-mode in vivo photoacoustic and ultrasound imaging system for early breast cancer detection. He also served as an Assistant Professor at CMR Engineering College, Hyderabad from 2016 to 2018. In 2022, he received International Travel Support (ITS) from SERB–DST, India to attend the MeMeA Conference in Italy. Dr. Ranjan has authored 50 peer-reviewed publications, including high-impact journals, international conferences, and book chapters, with his work featured in platforms such as IEEE Transactions, Scientific Reports, Cognitive Neurodynamics, and Archives of Computational Methods in Engineering. His research contributions extend across emerging domains including healthcare IoT, neural networks, EEG-based psychiatric disease diagnosis, and advanced deep learning architectures. He has also been recognized with multiple Best Paper Awards at international conferences. The citation impact of his publications is around 650 citations, h index of 14, and i10 index of 20 (Google Scholar, Nov. 2025). His research interests include biomedical signal and image processing, time–frequency analysis, pattern recognition, machine learning, computer-aided diagnosis, video quality assessment, image enhancement, wireless sensor networks, and healthcare applications. He has been actively involved in national and international research collaborations, served on technical program committees, and contributed as a reviewer for several top-tier journals in AI, signal processing, and biomedical engineering. Alongside research and reviewing roles, he has served as a Guest Editor for multiple Special Issues and a Session Chair in IEEE conferences, contributing to the academic community’s technical discourse. He has also organized workshops, chaired sessions, and coordinated faculty development programs under leading academic and industry bodies. He currently serves as Faculty Advisor of the IEEE Computer Society, UPES and IEEE Signal Processing Society Chapters, UPES and Chair of the IEEE SIGHT Affinity Group at UPES. Prior to this, he was the Founding Chairperson of the IEEE Signal Processing Society Student Branch Chapter at NIT Patna. With a strong commitment to advancing applied AI research, he continues to mentor students, guide interdisciplinary projects, and contribute to impactful scientific and technological innovation.

Employment

  • Indian Institute of Technology Kharagpur Chanakya Postdoctoral Fellow
    2026 - Present
  • University of Petroleum and Energy Studies Assistant Professor
    2024 - Present

Education

  • National Institute of Technology Patna PhD
    2019 - 2024
  • National Institute of Electronics and Information Technology (NIELIT) Master of Technology
    2014 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (72)