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Jackson Daniel

Professor, Department of Biomedical Engineering · KIT - Kalaignarkarunanidhi Institute of Technology

https://researchid.co/jackson2812
@kitcbe.com
13Scopus Publications
161Google Scholar Citations
8Google Scholar h-index
8Google Scholar i10-index

Research Interests

Non destructive Evaluation

Biography

Dr. Jackson Daniel is a dedicated academician and accomplished researcher with over 26 years of distinguished experience in Biomedical Engineering, Instrumentation Engineering, and Non-Destructive Evaluation (NDE). He holds a Ph.D. from Anna University and an M.Tech in Biomedical Engineering from IIT Madras, and is a recognized Research Supervisor under Anna University. He has acted as Co - Investigator for BRNS-sponsored research project worth 24 Lakhs His research expertise centers on Magnetic Flux Leakage–based Non-Destructive Evaluation and Biomedical Instrumentation, with scholarly contributions published in leading IEEE and Elsevier journals.. He has also mentored DST- and TNSCST-funded student innovation projects, one of which received international recognition at DAAD, Germany. Beyond research, he has played a pivotal role in advancing Outcome-Based Education (OBE), curriculum development, academic governance, examination reforms, and NBA accreditation processes.

Education

1. DEEE in Electrical and Electronics Engineering, April 1995, Government Polytechnic College, Tuticorin 2. B.E in Instrumentation & Control Engineering., April 1998, Arulmigu Kalasalingam College of Engg., Krishnankoil., M.K.University 3. M.Tech. in Biomedical Engineering, May 2004, IITMadras, Chennai 4. Ph.D in Faculty of Information and Communication Engineering, February 2019, Anna University, Chennai

Recent Scopus Publications

  1. MFO hyper parameter tuned machine learning algorithm for crack length severity classification
    Aip Conference Proceedings, 2024
  2. Experimental investigation of the solar distiller using nano-black paint for different water depths
    Materials Today Proceedings, 2022
  3. RETRACTED: Recurrent Neural Networks for Feature Extraction from Dengue Fever
    Evidence Based Complementary and Alternative Medicine, 2022
  4. Convolutional Neural Network based Skin Lesion Classification and Identification
    Proceedings of the 5th International Conference on Inventive Computation Technologies Icict 2020, 2020
  5. Tsallis Entropy Segmentation and Shape Feature-based Classification of Defects in the Simulated Magnetic Flux Leakage Images of Steam Generator Tubes
    International Journal of Pattern Recognition and Artificial Intelligence, 2020

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