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CDS Seminar (27th January 2021): Computational Methods with Soft Computing for Process Modeling

27 Jan @ 9:30 AM -- 11:00 AM

Department of Computational and Data Sciences
Research Seminar (Online)

SPEAKER: Dr. Shantanu Shahane, University of Illinois at Urbana-Champaign (UIUC), USA
TITLE: “Computational Methods with Soft Computing for Process Modeling”

Venue: Online
Date & Time: Jan 27, 2021, 09:30 AM – 11:00 AM


Dr. Shantanu Shahane will give a brief overview of the past and current research work including his master’s, doctoral, and postdoctoral work. He will go into details of his doctoral work followed by some of his current research which includes meshless methods and machine learning applied to engineering simulations. He has been developing the meshless method, also known as the generalized finite difference method for the solution of partial differential equations (PDEs). Radial basis functions (RBFs) are used to estimate derivative operators in the PDE on a point cloud. Polyharmonic spline as RBF with appended polynomials has shown exponential convergence with increasing polynomial degree. Hence, this approach is capable of giving higher-order accuracy without any additional algorithmic and code development. Moreover, since this method does not require underlying grid connectivity, adaptive mesh refinement can be easily implemented. Dr. Shahane will also talk about the use of machine learning coupled with computational methods for solving problems such as surrogate modeling, optimization, and uncertainty quantification. He will conclude with the potential of his current research and how it can be used in the future to improve the efficiency and accuracy of process modeling.


Dr. Shantanu Shahane is currently a postdoctoral research associate at the University of Illinois at Urbana-Champaign (UIUC), USA. He completed his bachelor’s and master’s (dual degree) from IIT Bombay in 2015. He worked with Prof. Sanjay Pande at IITB to model wire electro-discharge machining for his master’s dissertation. He started his Ph.D. at UIUC in August 2015 under the guidance of Prof. Surya Pratap Vanka. Profs. Shiv Kapoor, Narayana Aluru, and Placid Ferreira were his co-advisors. For his doctoral dissertation, he worked on numerical modeling of solidification and heat transfer during die casting together with uncertainty quantification, machine learning, and design optimization. Since Aug 2019, he has been a postdoctoral associate at UIUC. His latest areas of interest include meshless methods for solution of partial differential equations, scientific machine learning, and optimization.

Host: Prof. Deepak Subramani


27 Jan
9:30 AM -- 11:00 AM