Dr. Ravi Pratap Singh

Dr. Ravi Pratap Singh is a researcher and academician specializing in statistical signal processing, image processing, inverse problems, and computational imaging. He completed his Ph.D. in Computational Science with a specialization in Signal Processing from Banaras Hindu University, where his research focused on modeling optical imaging systems and solving inverse problem-based image restoration challenges.

His work integrates mathematical modeling, statistical inference, compressive sensing, and optimization techniques to address ill-posed imaging problems. He is committed to developing computational methods that enhance imaging accuracy, restoration quality, and real-world data interpretation.

Dr. Ravi Pratap Singh has extensive academic and research experience at Banaras Hindu University. He has served as a Teaching Assistant for postgraduate programs at DST-CIMS, contributing to both theoretical instruction and practical laboratory sessions.

His responsibilities have included supporting course delivery, conducting tutorials, providing hands-on programming training, and mentoring student projects in signal and image processing domains.

Statistical Signal Processing | Image Processing | Inverse Problems | Optical Imaging System Modeling | Compressive Sensing | Computational Imaging | Optimization Techniques

Dr. Ravi Pratap Singh emphasizes strong conceptual foundations built through mathematical rigor, systematic problem-solving, and practical implementation. His teaching approach focuses on clarity, algorithmic thinking, and connecting theory with real-world applications.

He encourages students to develop independent analytical skills, research curiosity, and computational proficiency to confidently solve complex interdisciplinary problems.

Fundamentals of Computer Programming (C and MATLAB) | Computer Programming | Image Analysis and Computer Vision | Design and Analysis of Algorithms | Digital Signal Processing | Sensors and Systems

UGC-NET Qualified in Computer Science (2019 & 2020)

GATE Qualified in Mathematics (2016)

GATE Qualified in Computer Science & Information Technology (2021)

Recipient of the Sayaji Rao Gaekwad Fellowship under the Institution of Eminence Scheme

Dr. Ravi Pratap Singh has published multiple SCI-indexed journal papers along with international conference publications in reputed journals and IEEE conferences. His research focuses on hybrid thresholding techniques, EM-based image deconvolution, and inverse problem formulations for imaging systems.

His work has appeared in leading journals such as Signal Processing, Circuits, Systems, and Signal Processing, and The Imaging Science Journal. He has presented his research at national and international conferences and continues to contribute to advancements in computational imaging.

He actively participates in research workshops, faculty development programs, and technical conferences, while mentoring postgraduate students in signal processing and image restoration projects.

ravi.singh@ddn.upes.ac.in