Background & Scholarly Record
An accomplished academician, researcher, and innovation leader, Dr. Mehar Chand advances computational thinking and interdisciplinary research. He has published 100+ research papers, authored 3 books and 10+ international book chapters, and holds patents in AI-driven education systems. Three Ph.D. scholars have earned their degrees under his supervision. Through his leadership he actively promotes research, innovation, entrepreneurship, and industry-academia collaboration to empower learners and drive global impact.
Building rigorous mathematical representations of real-world scientific and engineering systems.
Extending classical calculus to non-integer order derivatives and their applications.
Algorithms and error-bound methods for approximating solutions to complex equations.
Gamma, Beta, hypergeometric and related functions used across applied mathematics.
Implementation in MATLAB, Python, R, and SciLab for research-grade computation.
Applying machine learning and artificial neural networks to interdisciplinary problems.
Techniques for finding optimal solutions under real-world constraints.
Translating theoretical mathematics into practical, industry-relevant tools.
Statistical and mathematical modeling of biological and health-related systems.
Department of Physical and Mathematical Sciences, BFUET Bathinda
A Section 8 nonprofit registered under the Companies Act 2013, Ministry of Corporate Affairs, Government of India (Udyam-Registered MSME · 12AB). MTTF is an international scientific association of STEM experts advancing education, research, and skill development aligned with UN SDGs 4, 9, 10, and 17.
An enterprise technology company applying research-grade rigor to real-world systems — spanning AI & Machine Learning, Bioinformatics, Data Engineering, and Quantum Computing, built for institutions and organizations seeking secure, scalable, and research-backed digital transformation.
Bridging pure mathematical theory with real engineering and scientific practice.
Practical and conceptual grounding in modern AI and machine learning systems.
Structured approaches to designing, conducting, and publishing rigorous research.
Building industry-ready technical skills for students and early-career researchers.
Aligning academic and technological innovation with the UN Sustainable Development Goals.
Supervised three scholars through to the successful completion of their doctorates.
Holds patents including AI-enabled personalized learning systems for higher education.
Built collaborations across institutions in India, Ethiopia, Morocco, and beyond.
Trained over 1,00,000 students and professionals through MTTF programs.
Leads initiatives connecting academic research to sustainable development outcomes.