Teaching

ME778: Moving Boundary Problems in Solidification (Thermodynamics of phase change, Interface heat, species, momentum balance, Modeling of interface evolution with examples from alloy solidification, Macroscopic transport phenomena in multiphase systems, Volume-averaged formulations of thermal, flow and compositional fields in solidification, Segregation, Microstructures -  Dendrite growth, instability, tip growth kinetics, and modeling approaches)

ME228: Applied Data Science and Machine Learning (2024, 2025)
(Machine learning methodology, Linear Regression, Error metrics, Generalization, Correctness of fit, Bias and Variance (Underfitting and Overfitting), Regularization, Cross validation and Model selection, KNN regression, Classification models - Bayes, LDA, Perceptron model, MLP, Gradient Descent, Support Vector Machines, Logistic Regression, Tree methods, Clustering, PCA, Neural Networks), Hands-on sessions on samples of real data sets on each of the methods taught

ME789: Computational tools for process modeling ( Topics include Numerical methods for Root finding, Regression, Optimization, Polynomials, Differential equations, Artificial neural networks)

ME206 & ME333M - Manufacturing Processes - I  (Melting and Solidification Processes, Casting, Additive Manufacturing, Science and Mechanisms of flow, heat transfer, mass transfer during melting and solidification, Design of processes, Process-Structure Correlations, Predictive simulations) at IIT Bombay and IIT Dharwad

ME673: Mathematical Methods in Engineering (Vector Calculus, Linear Algebra, ODEs and PDEs)

ME788: Liquid Materials Processing (Thermodynamics of alloys, Transport phenomena, Casting processes, Additive Manufacturing, Defects)

ME899: Communication Skills (Modules handled - Preparation of artwork, Graphical abstracts, LaTeX, Report preparation)

ME374: Manufacturing Practice Laboratory (Visualization of solidification microstructures)

ME409 Intelligent Manufacturing Lab & ME643 Materials Processing Simulation Lab (Prediction of melting and solidification of alloys using CFD, Segregation, Thermo-solutal Convection)

PG Diploma / CEP - QIP Courses  

Machine Learning (as a part of Executive PG Diploma in AI & Data Science offered by C-MInDS IITB, co-taught with Prof. Sharayu Moharir)
(Machine learning methodology, Linear Regression, Error metrics, Generalization, Correctness of fit, Bias and Variance (Underfitting and Overfitting), Regularization, Cross validation and Model selection, KNN regression, Classification models - Bayes, LDA, Perceptron model, MLP, Gradient Descent, Support Vector Machines, Logistic Regression, Tree methods, Clustering, PCA, Neural Networks)

• Computational Fluid Dynamics - Fundamentals, Application and Analysis (on-site at Shree Cement Ltd., 2019, with Prof. Atul Sharma & Prof. Sandip Saha, IIT Bombay)

• Solidification and Welding: Advances in science and Technology: co-organized with Prof. Sushil Mishra, Click here for more details: CEP Course on S.W.AsT

• First Course in Computational Fluid Dynamics (FCCFD-2018), Coordinated by Prof. Atul Sharma