Jyotindra Narayan Robotics 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, 2023Present) at Imperial College London

Education

  • Ph.D. (Aug, 2017Jan, 2023) from INDIAN INSTITUTE OF TECHNOLOGY GUWAHATI

Fee details

    5,00010,000/hour (US$52.63105.25/hour)


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