About
Academic Background
Dr. Jindal holds a Master of Engineering (M.E.) in Computer Science and Engineering and a Ph.D. in Computer Science from Thapar Institute of Engineering and Technology (formerly Thapar University), Patiala. His doctoral research focused on offline handwritten Gurmukhi script recognition, contributing to the advancement of document analysis and pattern recognition for low-resource scripts.
Professional Experience
With over 16 years of academic experience, Dr. Jindal has been actively involved in undergraduate and postgraduate teaching, doctoral supervision, curriculum development, and academic leadership. He has held key administrative responsibilities, including Head of Department, and has played an important role in institutional academic planning and quality assurance activities.
Research Focus
- Character and handwriting recognition
- Document analysis and historical document OCR
- Computer vision and pattern recognition
- Machine learning and deep learning
- Biometrics and forensic handwriting analysis
His research outputs have been published in high-impact, peer-reviewed international journals and prestigious conference proceedings published by IEEE, ACM, and Springer.
Research Supervision & Academic Contributions
Dr. Jindal has successfully supervised multiple Ph.D. scholars and continues to mentor doctoral researchers in advanced areas of computer science and artificial intelligence. His research contributions have received significant citations and academic recognition, reflecting sustained impact at the national and international levels.
Awards & Recognition
- Shiv Nath Rai Memorial Mid-Career Best Scientist Award (2023)
- IETE – Biman Bihari Sen Memorial Award (2024)
- ISTE Best Teacher Award (2025)
Publications & Research Impact
Dr. Jindal has published more than 150 research articles in SCI/SCIE indexed international journals and leading national and international conference proceedings. His scholarly work has received over 10,000 citations, with a Google Scholar h-index of 50, reflecting strong academic influence and sustained research impact.
Current Objective
Dr. Jindal is actively seeking postdoctoral research opportunities and international research collaborations. His current interests include collaborative research in document analysis, optical character recognition (OCR), handwriting recognition, and applied machine learning, with a focus on high-impact, interdisciplinary, and translational research.
Detailed academic profile including education, publications, patents, supervision, awards, and professional experience.