Dr. Mohammad Javed Idrisi
VIIM Current Workshops
Dr. Mohammad Javed Idrisi
Dr. Mohammad Javed Idrisi, Professor & Research Faculty, Department of Basic Sciences (Mathematics), Manav Rachna University, Faridabad-121004, Haryana, India
Mobile: +918354819985
Email: mjavedidrisi@gmail.com
1. Name and Academic Designation
Prof. (Dr.) Mohammad Javed Idrisi
Professor of Applied Mathematics and Research Faculty, Department of Basic Sciences, Manav Rachna University, Faridabad
2. VIIM Resource Category
Mathematical Modelling
College and University Mathematics
Applied Mathematics and Interdisciplinary Applications
Computational Mathematics and Mathematical Software
Artificial Intelligence and Machine Learning
Research Methodology and Research Mentoring
3. Profile
Prof. (Dr.) Mohammad Javed Idrisi is an applied mathematician whose research focuses on celestial mechanics, gravitational dynamical systems, restricted three-body and multi-body problems, equilibrium points, orbital dynamics, and stability analysis. His work examines the mathematical behaviour of complex dynamical systems under different perturbations and physical conditions. He has more than 16 years of academic experience and a substantial research publication record, along with experience in Ph.D. supervision, thesis evaluation, and academic editing. His interdisciplinary interests extend to optimisation, energy systems, transportation, socio-economic dynamics, and AI-related applications. His computational expertise, including the use of Wolfram Mathematica, provides opportunities to explore mathematical models through symbolic computation, simulation, and visualisation.
4. Areas of Contribution to VIIM
Mathematical modelling of real-world systems.
Mathematical modelling and simulation using Wolfram Mathematica.
Celestial mechanics and the mathematics of orbital motion.
Dynamical systems, equilibrium points, and stability analysis.
Visualisation and computational exploration of mathematical models.
Mathematical modelling of energy and transportation systems.
Optimisation and interdisciplinary mathematical applications.
AI-assisted mathematical problem-solving and model exploration.
Research problem formulation, paper writing, and Ph.D./UG/PG mentoring.
His principal research interests include celestial mechanics, gravitational dynamical systems, restricted three-body and multi-body problems, equilibrium points, orbital dynamics, stability analysis and nonlinear dynamical systems. His research examines the effects of radiation pressure, oblateness, drag forces and other perturbations on the dynamics and stability of celestial systems. He has also contributed to interdisciplinary research involving mathematical modelling, optimisation, energy systems, transportation, socio-economic dynamics and artificial intelligence.
Dr. Idrisi's research record lists 84 publications, including papers in journals such as Scientific Reports, Chaos, Solitons & Fractals, New Astronomy, Celestial Mechanics and Dynamical Astronomy, and The Journal of the Astronautical Sciences. His academic contributions also include two books on Applied Mathematics for diploma engineering courses. He serves as a Ph.D. supervisor, evaluates doctoral theses, and is an Academic Editor for Scientific Reports.
He has delivered invited and keynote lectures on Dynamical Systems, Mathematical Modelling, Artificial Intelligence and computational approaches to mathematical problems. His technical expertise includes Wolfram Mathematica, which he has used in teaching and hands-on training on dynamical systems and mathematical computation. He has also conducted sessions on research methodology and scientific publication.
As a resource person for the Venugopal Institute of Independent Mathematics (VIIM), Dr. Idrisi contributes to programmes on Applied Mathematics, Celestial Mechanics, Dynamical Systems, Mathematical Modelling and Simulation, Computational Mathematics, optimisation, and interdisciplinary applications of mathematics. His expertise is particularly relevant to research-oriented lectures and workshops that connect mathematical theory, computational investigation and real-world applications.