Quantum-Mechanical Modeling of Nanomaterials
Conducted tutorials on Quantum ESPRESSO and graded assignments and student exams.
Teaching and mentoring
Course support, hands-on tutorials, workshop teaching, and public science education across computational materials science, density functional theory, machine learning, and physics.
Overview
Teaching experience drawn from academic appointments, course assistantships, workshops, and public outreach.
IISc and national courses
Teaching assistant and tutorial work connected to computational materials science, machine learning, and engineering education.
Conducted tutorials on Quantum ESPRESSO and graded assignments and student exams.
Conducted hands-on tutorials on training machine learning models for engineering problem solving.
Contributes question papers, assignments, tutorials, and reviews course materials and lectures.
FSU Jena
As a Scientific Employee at Friedrich Schiller University Jena, Manas supported physics, simulation, statistics, and scientific computing courses.
Supported a curriculum covering basics of quantum mechanics and standard algorithms used in quantum chemistry codes, including geometry optimization.
Served as teaching assistant for foundational statistical thinking and experimental design training.
Supported Python programming, introductory machine learning, and classical ML models such as support vector machines and decision trees.
Workshops and outreach
Teaching beyond formal courses, including workshops, online lectures, tutorials, and mentoring.
Delivered invited lecture and tutorial sessions for the Janardan Singh Foundation online workshop.
Founded Phys Whiz to create tutorials and lectures on physics, computational materials science, and scientific computing. The channel has reached about 21k YouTube subscribers and 3.6 million views.
Mentors U.S. high school students on applications to top U.S. universities and builds accessible web and Android tools for learners and researchers.