Anant Jain

I am Dr. Anant Jain, an Assistant Professor at the School of Technology, IFIM College (Centre for Developmental Education), with interdisciplinary training in Electrical Engineering, Artificial Intelligence, and Neurorehabilitation. My academic journey spans engineering-driven brain–computer interfaces (BCI) and clinically grounded neurorehabilitation research, with the overarching goal of translating AI-enabled neurotechnologies into meaningful healthcare solutions.

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I earned my Ph.D. in Electrical Engineering from IIT Delhi, where my doctoral research focused on EEG-based decoding of continuous upper-limb kinematics. My work combined advanced signal processing, machine learning, and deep learning architectures to model human movement intention from non-invasive brain signals, contributing novel frameworks for trajectory decoding and motor intent estimation.

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Following my Ph.D., I had a brief stay as a Postdoctoral Research Associate at the University of Utah Health. There, my research expanded into multimodal neurorehabilitation, integrating EMG, motion capture, and non-invasive neuromodulation. I have worked extensively on user-engagement–driven stimulation paradigms, including EMG/IMU-triggered functional electrical stimulation and transcranial stimulation approaches, aimed at enhancing use-dependent neuroplasticity in individuals with neurological impairments such as stroke.

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My current research vision lies at the intersection of AI in Healthcare, computational neuroscience, and rehabilitation engineering. I am particularly interested in:

• AI-driven analysis of neural and physiological signals

• Multimodal human–machine interfaces

• Neuroplasticity-informed rehabilitation technologies

• Translational BCI systems for clinical and real-world use

 

In parallel with my research, I am deeply committed to teaching and curriculum development, designing practice-oriented courses in Machine Learning and Data Science that emphasize real-world problem-solving, ethical AI, and interdisciplinary applications in healthcare and human-centered technologies.

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Beyond academia, I enjoy playing cricket and badminton, as well as experimenting with cooking —interests that keep me grounded and reinforce my belief in balance, teamwork, and creativity, qualities I value both in research and in life.

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I am open to academic collaborations, interdisciplinary research partnerships, and mentoring opportunities, particularly in the areas of AI, biomedical signal processing, and neurorehabilitation.