Mrs. Monisha Munivel | Image processing | Editorial Board Member

Mrs. Monisha Munivel began her academic journey with a solid foundation in Information Technology, earning a B.Tech degree from JNN Institute of Engineering, Chennai, with an impressive CGPA of 8.3. She pursued her M.E in Computer Science, specializing in Networks, at the Anna University Regional Campus, Coimbatore, graduating with a stellar 8.6 CGPA. Currently, she is working towards a Ph.D. in Computer Science and Engineering at SSN College of Engineering, Chennai, focusing on groundbreaking research in Deep Learning Models for Tamil epigraphy.

Mrs. Monisha’s professional career spans roles in academia and industry. Since 2022, she has been a Junior Research Fellow Extension at SSN College of Engineering, where she actively contributes to the Department of Computer Science and Engineering. Her earlier roles included being a Teaching Assistant and Junior Research Fellow at the same institution. Before transitioning to research, Monisha gained industry experience as a Web Designer at ScopeDev Private Limited and as a Project Trainee at SoftLogic Systems Private Limited.

With proficiency across multiple domains, Monisha’s technical expertise includes programming languages like C++, Python, and basic Java, scripting with JavaScript and PHP, and frameworks like React.js and Node.js. She is well-versed in simulation tools such as NS-2, NS-3, and OMNET++, showcasing her versatility. Monisha also demonstrates advanced capabilities in image processing tools, database management, and deep learning frameworks.

Mrs. Monisha has significantly contributed to the field of Deep Learning, Networking, Image Processing, and Computational Linguistics, focusing on Tamil epigraphy. Her Ph.D. project, “Transliteration of Tamizhi Inscription Images to Modern South Indian Languages using Deep Learning Models,” aims to preserve and modernize ancient scripts. Her research has resulted in high-impact publications in renowned journals, such as Expert Systems with Applications and the DESIDOC Journal of Library & Information Science.

Mrs. Monisha’s work bridges the gap between technological advancements and cultural preservation. By developing optical character recognition (OCR) tools for ancient scripts, she contributes to the digitization and analysis of Tamil-Brahmi inscriptions. This interdisciplinary approach not only advances technology but also preserves the rich heritage of ancient scripts for future generations.

Mrs. Monisha’s research contributions are widely recognized in the academic community. Her publications have appeared in UGC Care-listed journals and international conferences. Notable works include a multi-level binarization technique for Tamizhi inscriptions and optical character recognition using deep neural networks. She has presented at prestigious platforms, including the 19th Tamil Internet Conference and the International Joint Annual Conference on Archaeology.

With a passion for sharing knowledge, Monisha has worked as a Teaching Assistant in Computer Science and Engineering at SSN College of Engineering. Her role involved mentoring students in key areas such as Web Technology, Networking, and Deep Learning, fostering a culture of innovation and critical thinking.

Mrs. Monisha envisions leveraging her research to develop tools that make ancient scripts accessible to modern readers. Her future plans include expanding her work into multi-language transliteration and promoting cultural digitization projects. Her commitment to education, research, and cultural preservation ensures that her contributions will leave a lasting legacy in both the academic and cultural domains.