Amanpreet Chander

Amanpreet completed his B.Tech in Electronics and Communication from UIET, Panjab University, Chandigarh. He has experience in embedded systems, circuit designing, virtual reality, 3D design, 3D printing, AI/ML and programming. He has executed multiple projects including a low-cost ambu-based ventilator, a smart pill dispensing device, and a smart oxygen-saving device called AMLEX. Currently, he is pursuing his Ph.D from IIT ropar and his research area is the development of affordable deep learning-based home rehabilitation systems for patients undergoing rehabilitation via physiotherapy.

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Ranjana Roy Chowdhury

Ranjana earned her B.Tech degree in CSE from Assam University Silchar and M.Tech degree in Services Computing from CSE Department, IIIT Guwahati. Her research areas focus on Few Shot Learning for Medical Image Analysis. Currently, she is working towards exploring various applications of Meta Learning Approaches towards solving few shot learning problems in the medical imaging domain.

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Usma Niyaz

Usma completed her undergraduate studies with a B.Tech. in Computer Science and Engineering from the University of Kashmir, followed by earning a Master's degree in Computer Science and Information Technology from the Central University of Jammu. She has worked as an assistant professor at the National Institute of Technology Srinagar, J&K, India. Her interest lies in addressing deep learning challenges within the field of medical imaging. Her current research focuses on model compression, a critical aspect of optimizing computational resources while ensuring the effectiveness of models in various medical imaging applications.

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Swati Kochhar

Swati is currently pursuing her doctoral degree in the Computer Science and Engineering department at the Indian Institute of Technology (IIT), Ropar. Her academic journey began with a B.Sc. in Information Technology, followed by an M.Sc. in Computer Science from Kumaun University, Uttarakhand. Her keen interest lies in the intersection of artificial intelligence, particularly reinforcement learning, and its applications in the medical domain. She is exploring the transformative potential of reinforcement learning in reshaping medical decision-making processes.

Anoop J. Thomas

CBIL Affiliation: Doctoral Student

Current Position: Assistant Professor, IIIT Trichy

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Apoorva Sikka

CBIL Affiliation: Doctoral Student

Current Position: Senior Data Scientist, nFerence

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Tara Chand

CBIL Affiliation: Junior Research Fellow

Current Position: Assistant Professor, Jindal Institute of Behavioural Sciences (JIBS)

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Abhishek Singh Sambyal

CBIL Affiliation: Doctoral Student

Current Position: Postdoctoral Fellow, University of Oulu, Finland

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