Core Course Instructors
Dr. Sandeep Kumar
Designation: Assistant Professor, Department of Electrical Engineering & Yardi School of Artificial Intelligence, IIT Delhi
Contact: ksandeep@iitd.ac.in
Dr. Sandeep Kumar is an assistant professor in the Department of Electrical Engineering, Yardi School of Artificial Intelligence, an associate faculty at Bharti School of Telecommunication Technology and Management at the Indian Institute of Technology Delhi (IIT Delhi), and is honored with the DST Inspire Faculty Fellowship Award and the TCS Doctoral Fellowship. At IIT Delhi, he leads the Machine Intelligence Signals and Networks (MISN) lab. His research explores the intersection of machine learning, graphical models, and deep learning, addressing complex data challenges. Dr. Kumar is deeply committed to nurturing the next generation of AI enthusiasts. He imparts knowledge through an array of courses, including Mathematical Foundations for Machine Learning, Advanced Machine Learning, Software Fundamentals, and Optimisation Methods. Beyond the confines of academia, he champions accessibility to AI education for all, extending his expertise to industry professionals, college students, and government officials through online classes, workshops, and bootcamps. Dr. Kumar’s efforts extend beyond the classroom as he spearheads multiple projects funded by government and industry entities. These projects harness the power of AI/ML to address pressing societal issues, spanning domains such as neuroscience, earth sciences, submarine tracking, high-speed object tracking, and social welfare.
Dr. Manabendra Saharia
Designation: Assistant Professor, Department of Civil Engineering & Yardi School of Artificial Intelligence, IIT Delhi
Contact: msaharia@iitd.ac.in
Dr. Manabendra Saharia is an Assistant Professor in the Department of Civil Engineering and an Associate Faculty of the Yardi School of Artificial Intelligence at the Indian Institute of Technology Delhi. Previously, he worked in the hydrology labs of the NASA Goddard Space Flight Center and the National Center for Atmospheric Research (NCAR). Dr. Saharia received his Ph.D. in Water Resources Engineering from the University of Oklahoma. At IIT Delhi, his HydroSense research lab focuses on developing physics and AI/ML-based techniques to monitor and mitigate natural hazards such as floods and landslides. He has been recognised for his scientific contributions, having received Young Scientist awards from both the National Academy of Sciences, India (NASI) and the International Society for Energy, Environment and Sustainability (ISEES). He is also a Visiting Scientist at NCAR (USA) and a Global Guest Professor at Keio University (Japan).
Additional Course Instructors and Guest Lecturers
Dr. XYZ
Designation: Assistant Professor, Department of Electrical Engineering & Yardi School of Artificial Intelligence, IIT Delhi
Contact: ksandeep@iitd.ac.in
XYZ
Teaching Assistants
Dr. Ekta Srivastava
Designation: Postdoctoral Fellow, Department of Electrical Engineering, IIT Delhi
Bio: Dr. Srivastava contributes to the Machine Intelligence Signals and Networks (MISN) Lab. She specializes in advanced signal processing and machine learning, with a background in research at the Intelligent Information System Lab in South Korea.
Dr. Anil Kumar
Designation: Principal Project Scientist, Department of Civil Engineering, IIT Delhi
Bio: Dr. Kumar specializes in developing deep learning models to study complex multiphysics processes in geosciences. He holds a joint Ph.D. from Monash University, Australia, and IIT Bombay, India.
Dr. Samvedya S
Designation: Principal Project Scientist, Department of Civil Engineering, IIT Delhi
Bio: Dr. Samvedya specializes in developing AI and Remote Sensing Applications
Mohit Kataria
Designation: Ph.D. Scholar, Yardi School of Artificial Intelligence, IIT Delhi
Bio: Mohit Kataria focuses on scaling graph machine learning algorithms. He has prior experience as a backend developer and is currently a senior research scholar in the MISN Lab.
Vipul Kumar Singh
Designation: Ph.D. Scholar, Department of Electrical Engineering, IIT Delhi
Bio: Vipul’s research focuses on theoretical aspects of developing reliable graph ML algorithms.
Anagha P
Designation: Ph.D. Scholar, IIT Delhi
Bio: Specializes in Deep Learning applications in Earth Sciences.