About the GPU Research Center at Amrita Vishwa Vidyapeetham
Amrita Vishwa Vidyapeetham (Amrita University) is a multi-campus, multi-disciplinary research university that is accredited 'A' by NAAC and is ranked as one of the best research universities in India. The university is spread across five campuses in three states of India - Kerala, Tamil Nadu and Karnataka, with the University headquarters at Coimbatore, Tamil Nadu. With Schools of Engineering, Biotechnology, Business, Arts and Sciences, Medicine, Dentistry, Pharmacy, Ayurveda, Communication, Education and College of Nursing, Amrita offers more that 150+ programs at undergraduate, postgraduate and Ph.D. levels. Known for its role in national mission projects such as AVIEW that connects more than 650 institutes today, Virtual Labs and others, faculty-led projects focus on both basic and applied projects with special focus on societal benefit such as the EU funded WINSOC landslide projects, RITE Rural India Tablet Education projects and more. The 1600+ bed Amrita Institute of Medical Sciences is one of the most advanced teaching hospital with its center for robotics, silent MRI scanner and other extensive facilities comprising 25 modern operating theaters, 210 equipped intensive-care beds, a fully computerized and networked Hospital Information System (HIS), a fully digital radiology department, NABL accredited clinical laboratories and 24 / 7 telemedicine service. Amrita University has over 1700 faculty members and around 18000 students and has coordinated several Erasmus and other International student-faculty exchange programs with its partners in US, Europe, Australia and Japan. Amrita University (http://amrita.edu) has 20 centers of excellence combining interdisciplinary strengths in the fields of Elearning and educational technologies, computer-human interaction and vocational skill training, biotechnology and biomedical devices, nanosciences and nanotechnology, sustainable energy, health sciences, computational engineering, automobile testing, robotics, cybersecurity and wireless network technologies.
 
Amrita’s computational neuroscience group have been using CUDA to design prediction models for neurological disorders and for understanding neural circuit function. The open challenge is to understand the complex computation that takes place in our brain in order to predict behavior, reconstruct function and dysfunction and to look at abstracts to reverse engineer algorithms for robotics. The project goal here is mathematically model cerebellum circuit function (using connections, understanding learning rules) via its population code and network analysis using information theory. At Amrita, GPU-based algorithms are also implemented and used by Amrita Center for Cyber Security Systems and Networks (Amritapuri) and the Center for Computational Engineering and Networking (Coimbatore).
 
About the PI
Shyam Diwakar is the Principal Investigator and Head of Computational Neuroscience Laboratory (http://amrita.edu/compneuro), a faculty fellow at the Amrita Center for International Programs and an Assistant Professor at the School of Biotechnology. He is an executive committee member of Indian Academy of Neuroscience and is the Amrita representative of Indian National Node for Neuroinformatics. His research uses principles from electrical engineering and information sciences to study cerebellum and its functioning by developing multi-scale mathematical models of the cerebellum granular layer. The current work at his lab is on computational neurophysiology, neuromorphic hardware and bio-robotics besides pedagogical techniques for enhancing biotechnology laboratory education through ICT.