Teaching
NOC: Deep Learning in Material Science and Engineering: From Concepts to Applications, IIT Kanpur
Course AbstractWhy Deep Learning in MSE? Deep Learning has widely been used in various sectors; health care, finance, agriculture, education, energy, entertainment etc have been using Deep Learning to improve their performances. Tech giants have been pushing their boundaries to achieve more as Deep Learning is the driving force everywhere and similarly the demand for skilled professional has steeply been rising. The design and discovery of new materials, processing optimization and prediction of properties would require applications of Deep Learning techniques and even deployment of the same. The present course is meant for students preparing for higher studies, researchers applying AI tools, the industry professionals wanting to upskill. This is a balanced course with conceptual learning and hands-on with ability to build intuition, apply concepts to data, and interpret model output. Upon successfully completing this course, you will have a mini portfolio of Deep Learning projects, which can be showcased to the potential employers or use for research.
DEEP LEARNING IN MATERIAL SCIENCE AND ENGINEERING: FROM CONCEPTS TO APPLICATIONS →
Introductory Materials Informatics, IIT Kanpur / IIT Ropar
(Prof. Krishanu Biswas, Prof. Pratik Kumar Ray)
Course Abstract
Material informatics is transforming the way materials are discovered, designed, developed, selected, and deployed. Use of informatics and data science helps make better decisions by providing insights into risks, patterns, and trends. In this course, we learn about the impact of data science on materials engineering with emphasis on materials informatics. Although computer models of materials are widely used, there is an increasing trend toward data-driven approaches, drawing on data from both high-throughput computations and experiments. The course provides knowledge on materials design and discovery through modern materials informatics tools and large-scale multiscale modeling, with the ultimate goal of speeding up the design process and enabling cost-effective, rapid discovery, prototyping, and decision-making.
Introductory Materials Informatics, IIT Kanpur / IIT Ropar →
Massive Open Online Courses (MOOC) Developed for the Country
Dr. Biswas has developed five MOOC courses and one video course as part of NPTEL — the National Programme on Technology Enhanced Learning. In addition, he has taught and trained postgraduate students in the Materials Science & Engineering department on electron microscopy techniques including SEM, TEM, and HRTEM.
Course Videos
In addition, Prof. Biswas has offered numerous short-term courses on various subjects for both industry personnel and the scientific community.