BIOMEDICAL ENGINEERING (BME)
ELIGIBILITY FOR ADMISSION
First Class or 60% marks (55% marks for SC/ST), as specified in theGeneral Eligibility Criterion, in the qualifying degree:
(i) M.Tech./M.E. or equivalent degree in Biomedical Engineering, Chemical Engineering, Computer Science   &   Engineering,   Electrical   Engineering,   Electronics/Telecommunications   Engineering, Instrumentation Engineering, Mechanical Engineering and Engineering Physics.
(ii) M.Tech.  Photonics/optics and MSC photonics/optics.
(iii) M.Pharm. OR MBBS with MD/MS, MVSc, MDS, MPTh, MOTh, MS/MD Health sciences AYUSH.
(iv) B.Tech./B.E. or equivalent degree in Biomedical Engineering, Chemical Engineering, Computer Science   &   Engineering,   Electrical   Engineering,   Electronics   /Telecommunications   Engineering, Instrumentation Engineering, Mechanical Engineering and Engineering Physics, Data Science.
(v)  M.Sc.   or  equivalent   degree  in   Biochemistry,   Biophysics,   Biotechnology,   Ceramics,   Chemistry, Electronics, Ergonomics, Material Science, Mathematics, Molecular Biology, Physics, Bioinformatics, Data science and Physiology.
(vi)   Health   Sciences   (such   as   MBBS   (Medicine)   /   BDS   (Dental),   B.Pharm/B.V.Sc.,B.P.Th., B.O.Th.,B.ASLP,   Pharma   D   (Duration   4   years   or   more)”.   All   India   level   post   graduate   entrance examination   for   corresponding   disciplines   such   as      INI_CET/NEET­PG/NEET­MDS/JIPMER/PGI Chandhigarh/AFMC­Pune/DNB   Part   I/AIIPMR     for   MBBS/   BDS,   GPAT/   All   India   level   selection examination for B.Pharm., All India level post graduate entrance examinationsuch as AIIPMR for M.V.Sc., M.P.Th., M.O.Th. and M.ASLP, GATE examination for all such health science background where applicable. Eligibility/ rank certificates for all such All India level entrance examinations are required. The candidate should have qualified the entrance exam (as per the qualification criterion of the respective exam for that exam year and category) and the score obtained should be valid (as per the duration of validity for the respective exam) at the time of application to the M.Tech. program.

Candidates with qualifying degrees in [ iv and v] must fulfill one of the following:
a) a valid GATE score (for TA/TAP/RA/RAP)
b) a valid CSIR/UGC/DBT JRF or a valid ICMR JRF not linked to ICMR project (for FA)/BINC any fellowship that will provide scholarship for 5 years.
c) Experience as specified earlier in A.5 and A.6 (for CT, EX, IS, PS, SF, SW category)

RESEARCH AREAS
(A) Sensors and Devices: Bioinstrumentation for diagnostics and therapeutics; Early detection of carcinoma and tropical diseases; bioMEMS devices; Fluorescent Biosensors; Nanoengineered Sensors; Layer by  Layer Self  Assembly;  Microfluidics for  biomedical  applications;  Robotics for Healthcare applications and devices; IoT for healthcare applications and devices.
(B) Application of AI/ML in health care applications and devices.
(C) Biomaterials, Drug delivery and tissue engineering, Nanobiotechnology, Design of scaffolds for tissue engineering, Controlled Release technologies, Neuroprosthetic devices including aids for the handicapped, Signal processing, Telemedicine and  knowledge based systems.  Microfibrication for immunotherapy
(D) Computational   physiology, Cardiac   electrophysiology   and   muscle mechanics, Computational Neurophysiology
(E) Movement   Neuroscience, Rehabilitation   technology; Neural   signal   processing, Neuroimaging, Neuromodulation, Neurofeedback. Human motor control, motor learning, biomechanics of human movement, non­invasive   brain   stimulation, assistive devices, geriatric (aging) and neurological rehabilitation.,  
(F) Biomedical Optics: Cerebral blood flow imaging in humans, Laser and diffuse speckle imaging, Microscopy, small animal imaging, functional near infrared spectroscopy in humans and animals, Biomedical instrumentation (system development), imaging and other computational aspects, towards commercialization of imaging systems.
(G) Computational Biology and Bioinformatics: Bioinformatics and computational biology approaches to study protein-protein, protein-­drug interactions etc., in cancer, neurodegenerative and endocrine diseases.