Research Topic - Artificial Intelligence, Bio-medical data analytics
Biomedical data convey information about the physiological processes and underlying abnormalities of the human body. Processing of the biomedical data (ECG, EEE, MRI, PCG etc) collected using multiple sensors/devices provides vital information about human health. However, analysis of data using traditional techniques are time consuming and ineffective due to the availability of vast amount of recorded data and limited resources. Thus, more advanced automated AI-assisted systems are required to reveal significant information related to the human health. Motivated by these facts, this research work focuses on the development of AI assisted systems for biomedical data processing. The methodology will combine methods from signal/image processing, deep learning, artificial intelligence etc. Publication of results will be an integral part of the PhD program.
Department & Campus
Center for Computational Engineering and Networking (CEN), Coimbatore Campus
Skillsets Preferred from Applicants
M.Tech Degree in Signal Processing, Artificial Intelligence, Computer Science Engineering or another related domain
Some background in programming languages such as Python, Matlab
Faculty Profile
Dr. Neethu Mohan
Faculty Associate , Department of Electronics and Communication Engineering, Amrita Vishwa Vidyapeetham, Coimbatore.
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The core vision of Amrita lies in providing education for life, grounded in intellectual social responsibility through compassion driven research that will translate into a positive global impact. The Schools under the aegis of Amrita University have over 108 programmes in disciplines as diverse as Biotechnology, Engineering, Management, Medicine, Dentistry, Ayurveda, Pharmacy, Nanotechnology, Communication, Arts & Science and Education, providing our students with an outstanding training in our several campuses across multiple states. Needless to add, this multi-disciplinary character of our University facilitates a laudable synergy within our midst greatly enabling us all to derive maximum benefit from the expertise of each other.
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Admission Procedure
ELIGIBILITY
FULL TIME PHD
Applicants holding a Master’s degree are eligible to apply for admission. Examples of Master’s degree include: ME, M. Tech., M. Sc., MCA, MS by Research and MPhil
applicants are expected to have strong academic records.
PART TIME PHD
Applicants who have a full-time appointment at Amrita Vishwa Vidyapeetham or at another academic/ R&D organization are eligible to apply for part-time admission. Other eligibility requirements of such applicants are same as full time applicants. Part Time students are permitted to proceed at a slower pace in completing their doctoral requirements.
INTEGRATED PHD
Exceptional students pursuing a Bachelor’s or Master’s degree at Amrita will be allowed to apply for the Integrated Ph.D. program subject to the requirement that he or she completes all the requirements of the Bachelor’s or Master’s degree prior to ‘advancement to candidacy’
DUAL DEGREE PHD
Exceptional students who satisfy the eligibility requirements of Amrita and that of Amrita’s International Partner University (IPU), as stated in the Dual PhD. MoU signed between Amrita and the IPU, are eligible for admission to the Dual PhD program.
Fee Structure
|
TUITION FEES (Per Annum) External Scholars |
TUITION FEES (Per Annum) Internal Scholars |
|
| AMRITAPURI | ₹30,000 | ₹20,000 |
| COIMBATORE | ₹30,000 | ₹20,000 |
| BENGALURU | ₹30,000 | ₹20,000 |
| CHENNAI | ₹30,000 | ₹20,000 |
Admission
Doctoral programs at Amrita Vishwa Vidyapeetham are designed to develop outstanding educational researchers with a wide range of research skills as well as in-depth knowledge and practical understanding and expertise in their chosen field of educational research.
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