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Jyotindra NarayanRobotics and AI Faculty in IIT
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My teaching style is dynamic, research-driven, and student-centric, emphasizing conceptual clarity and real-world application. I integrate theoretical foundations with hands-on experience through project-based learning, simulations, and lab activities, particularly in robotics, control systems, and artificial intelligence. My approach fosters active engagement, encouraging students to question, experiment, and critically analyze engineering problems. By blending traditional instruction with modern tools such as MATLAB, Simulink, and AI-based frameworks, he ensures learners gain both depth and practical competence. I also mentor students in research and encourage interdisciplinary thinking, preparing them for academic, industrial, and innovation-driven careers. He is passionate about teaching and spreading knowledge.
Subjects
Machine Learning Intermediate-Expert
Control System Expert
Deep Learning Beginner-Intermediate
Mechatronics Beginner-Expert
Industrial Robotics Beginner-Intermediate
Mechanical control systems Beginner-Expert
Robotics and AI Expert
Robotics and Simulation Intermediate-Expert
Robotics control systems Beginner-Expert
Introduction to Robotics Beginner-Expert
Robotics and Control Expert
AI and Robotics Beginner-Expert
Applied Machine Learning Beginner-Intermediate
Robotics Basics Beginner-Expert
Experience
Postodoctoral Research Associate (Feb, 2023–Present) at Imperial College London
Education
Ph.D. (Aug, 2017–Jan, 2023) from INDIAN INSTITUTE OF TECHNOLOGY GUWAHATI