Name
Designation
Department
ORCID
Scopus_link
Website
Dr. Rahul Sharma
Assistant Professor
Communication and Computer Engineering
0000-0001-7437-4038
56591002200
https://lnmiit.ac.in/faculty-list/dr-rahul-sharma/
Rahul Sharma
rahul.sharma@lnmiit.ac.in
Date of joining:
23-07-2024
Department:
Communication and Computer Engineering
Summary
Position: Assistant Professor Department: Computer and Communication Engineering (CCE) Email: rahul.sharma@lnmiit.ac.in Phone: 0141 3526244 Office: Room No. 2036
Biography
Dr. Rahul Sharma is an Assistant Professor in the Department of Computer and Communication Engineering at LNMIIT Jaipur. He earned his Ph.D. from NIT Silchar and has previously served as a Research Associate at IIT Indore, where he conducted groundbreaking research in the application of Deep Learning techniques to medical imaging, particularly focusing on Alzheimer's disease diagnosis. Dr. Sharma's research is at the forefront of utilizing advanced Deep Learning algorithms to analyze complex MRI scan data. His innovative work in developing automated frameworks for early detection and progression prediction of Alzheimer's disease has been recognized for its significant impact on the field of medical diagnostics. Dr. Sharma is actively involved in several interdisciplinary research projects and has published numerous papers in prestigious journals and conferences such as Nature, IEEE Transactions, IEEE JBHI, and Applied Soft Computing. His work continues to push the boundaries of current methodologies and contributes to the advancement of knowledge in AI and healthcare.
Research Area
Deep Learning, Neuroimaging, Medical Imaging Analysis
Personal information
Education
| Degree/Diploma | Institute/ Organization | Year | Branch/Specialization | |
|---|---|---|---|---|
| 1 | Ph. D. Doctor of Philosophy | NATIONAL INSTITUTE OF TECHNOLOGY SILCHAR | 2024 | Deep Learning |
Experience
| Name of Organization | Post/Designation | Duration From | Duration To | |
|---|---|---|---|---|
| 1 | IIT Indore | Research Associate | 2023 | 2023 |
Patents
| Type | Title | Status | Application No | |
|---|---|---|---|---|
| 1 | International | System for the early detection of Alzheimer’s disease | Awarded | G16H 50/20 |
Publications
| 1 | M. Tanveer, T. Goel, R. Sharma, A. K. Malik, I. Beheshti, J. Del Ser, P. N. Suganthan & C. T. Lin, Ensemble deep learning for Alzheimer’s disease characterization and estimation, Nature Mental Health, May 2024 |
| 2 | Rahul Sharma, Tripti Goel, M. Tanveer, C. T. Lin, R. Murugan, Deep-learning-based diagnosis and prognosis of Alzheimer’s disease: A comprehensive review, IEEE Transactions on Cognitive and Developmental Systems, March 2023 |