MITS has secured NIRF India Ranking 2024 in the band 201 to 300.
Dr. J. Jude Moses Anto Devakanth

Qualification : Ph.D. (Manonmaniam Sundaranar University)

Designation : Asst. Professor

Details of Educational Qualification:

Course Specialization Group College Name/University Year of Passing
Ph.D. Computer Applications Computer Applications Manonmaniam Sundaranar University 2024
M.Phil. Computer Science Computer Science Manonmaniam Sundaranar University 2016
M.C.A Computer Applications Computer Applications Manonmaniam Sundaranar University 2015
B.Sc. Computer Science B.Sc. St. Joseph college of Arts and Science, Madras University 2012

 

List of Publications

S.No Title of the Paper Full Details of Journal Name / Conference Name, Volume number, page number, Date
1 “Fuzzy Rank Based Ensemble Deep Learning Model For Multilevel Classification Of Lung Diseases Using Chest X Ray Images” International Journal Of Fuzzy Systems (SCI Journal- Communicated).
2 “An energy-aware heart disease prediction system using ESMO and optimal deep learning model for healthcare monitoring in IoT” Journal of Biomolecular Structure and Dynamics, (2024) DOI: 10.1080/07391102.2023.2298736. (SCI Journal)
3 “A Modified Moth Flame Optimization Algorithm for Multi-level Classification of COVID-19 from Tuberculosis and Pneumonia Chest X Ray images using Deep learning” Journal of Chemical Health Risks | ISSN:2251-6727. JCHR (2023) 13(3), pp.1177-1197. SCOPUS
4 "Feature Fusion Based Ensemble Method for Multi-Level Lung Diseases Classification Of X-Ray Images Using Deep Learning." International Neurourology Journal ISSN:2093-4777. 27.4 (2023): 331-349. SCOPUS
5 “Evaluation On Machine Learning And Deep Learning Techniques For Classification Of Pulmonary Diseases/Lung Disorders Using X-ray Images” Journal of Clinical Otorhinolaryngology, Head, and Neck Surgery ISSN:1001-1781. Vol.: 27 Issue: 1, 2023 pp 2420-2447. SCOPUS
6 “An Evolutionary Modified Dragonfly Neuro-Fuzzy Inference System for Classification of Tuberculosis” European Chemical Bulletin, ISSN 2063-5346,pp:5117-5138, Volume- 12, Special Issue-1 (Part –A), 2023 doi: 10.48047/ecb/2023.12.sa1.504 SCOPUS
7 “A Review on AI Methods for Diagnosing Covid Variants using Radiology Imaging” Eur. Chem. Bull. ISSN:2063-5346, Vol 12.2023 (special Issue 5), pp 1044-1058. SCOPUS
8 "Development of Deepfake Detection Techniques for Protecting Multimedia Information using Deep Learning," 2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), Salem, India, 2024, pp. 786-791, doi: 10.1109/ICAAIC60222.2024.10575155. IEEE Xplore
9 “A Review on Feature Extraction and Classification Using Machine Learning and Deep Learning Approaches for Lung Disease Detection” International Conference on Advanced Computing and Informatics (ICACI-2022), September 9-10,2022 Department of Artificial Intelligence, SIMATS School of Engineering, Chennai-105
10 “A Novel Feature Extraction Technique for Detection of Tuberculosis from chest X-ray images” National conference on Modern Advances in Teaching and Learning (NCMATL-2023), February 23,2020, Christopher Arts and Science College. Soorangudi.