Dr. Mukundraj V. Patil
Symbiosis International University, Modern Education Society's College of Engineering, D. Y. Patil College of Engineering and Technology
About
I am an engineering and data‑science‑oriented researcher specializing in multiobjective optimization, heuristic algorithms, machine learning, and deep learning. My work focuses on developing and applying advanced computational methods to solve complex decision‑making and design problems across engineering, science, and management domains. I have experience in formulating real‑world problems as mathematical models, designing efficient optimization strategies, and implementing data‑driven approaches for improved performance and robustness.
In addition to optimization and learning algorithms, I work on mathematical modeling of dynamical and decision systems, bridging theoretical analysis with practical implementation. I collaborate with researchers and practitioners who need support in model formulation, simulation‑based analysis, and optimization‑driven solution design for their projects and papers. My goal is to strengthen the methodological and analytical components of interdisciplinary work, particularly where multiobjective optimization, metaheuristics, and machine‑learning techniques can add value.
Employment
Employment history is unavailable.
Education
-
Symbiosis International University Ph.D.2016 - 2021
-
Modern Education Society's College of Engineering M.E. (Design Engineering)2013 - 2015
-
D. Y. Patil College of Engineering and Technology B.E.(Mechanical)1997 - 2001
Projects & Funding
Projects & funding information is unavailable.
Publications (14)
- Multicriteria Optimization of Millet Blends Characterization for Development of Nutrient Rich Noodles Save
- MPPT Control Based Battery SoC Prediction Using XGBoost Method Save
- Seizing the Moment: Multimodal EEG Trends and Real-Time Epilepsy Seizure Detection with Dual Deep Nets Save
- Investigation and optimisation of cracked aluminium alloy plate restored for fatigue loading application Save
- Investigation and optimization of Cracked Aluminium Alloy plate Restored for Fatigue Loading Application Save
- Multi-stopping criterion multi-feature-based multi-objective cohort intelligence algorithm for thermoacoustic engine optimisation Save
- Multi-stopping criterion multi-feature-based multi-objective cohort intelligence algorithm for thermoacoustic engine optimisation Save
- Pareto Dominance Based Multi-objective Cohort Intelligence Algorithm Save
- Pareto dominance based Multiobjective Cohort Intelligence algorithm Save
- Optimization of Vehicle Suspension Parameters for Ride Comfort Based on RSM Save