NIST UNIVERSITY
Institute Park, Berhampur, Odisha-761008, India

Sudhakar Das

Dr. Sudhakar Das

Professor

Electronics and Comm. Engineering (SCHOOL OF ENGINEERING)

sudhakar.dash@nist.edu
9861385351
LHC - 508

Education

Ph.D in Electronics and Communication Engineering
BPUT,Odisha
2017-03-17
M. TECH. in Electronics & Comm. Engg.
BPUT, Odisha
2010-07-01
B.E in Electronics & Comm. Engg.
NIST , Berhampur University, Berhampur
2001-08-01

Work Experience

Faculty/Professor in Dept. of ECE
NIST University
13/10/2003 - 31/10/0013

Research Interests

  • Funding Agency - Science and Engineering Research Board (SERB) under Government of India Reference No. - EMR/2017/004175 Sanctioned Amount - Rs. 35,70,800/- (Rs. Thirty Five Lakhs Seventy Thousand Eight Hundred Only) for a duration of 36 months.
  • VLSI.

Publications

  1. Das, S., Mahmud, T., Islam, D., Begum, M., Barua, A., Tarek Aziz, M., Nur Showan, E., Dey, L. and Chakma, E., 2023. Deep Transfer Learning‐Based Foot No‐Ball Detection in Live Cricket Match. Computational Intelligence and Neuroscience, 2023(1), p.2398121.
  2. Mahmud, T., Barua, A., Begum, M., Chakma, E., Das, S. and Sharmen, N., 2023, February. An improved framework for reliable cardiovascular disease prediction using hybrid ensemble learning. In 2023 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-6). IEEE.
  3. Mahmud, T., Das, S., Ptaszynski, M., Hossain, M.S., Andersson, K. and Barua, K., 2022, October. Reason based machine learning approach to detect bangla abusive social media comments. In International Conference on Intelligent Computing & Optimization (pp. 489-498). Cham: Springer International Publishing.
  4. Mahmud, T., Barua, K., Barua, A., Das, S., Basnin, N., Hossain, M.S., Andersson, K., Kaiser, M.S. and Sharmen, N., 2023, August. Exploring deep transfer learning ensemble for improved diagnosis and classification of alzheimer’s disease. In International Conference on Brain Informatics (pp. 109-120). Cham: Springer Nature Switzerland.
  5. Mahmud, T., Islam, D., Begum, M., Das, S., Dey, L. and Barua, K., 2022. A decision concept to support house hunting. International Journal of Advanced Computer Science and Applications, 13(10).
  6. Chowdhury, N.A., Mahmud, T., Barua, A., Basnin, N., Barua, K., Iqbal, A., Hossain, M.S., Andersson, K., Kaiser, M.S., Hossain, M.S. and Das, S., 2023, September. A novel approach to detect stroke from 2d images using deep learning. In International Conference on Big Data, IoT and Machine Learning (pp. 239-253). Singapore: Springer Nature Singapore.
  7. Chan, M., Das, S. and Reitz, R.D., 1997. Modeling multiple injection and EGR effects on diesel engine emissions. SAE transactions, pp.1072-1093.
  8. Gouda, B.S., Panda, M., Panigrahi, T., Das, S., Appasani, B., Acharya, O., Zawbaa, H.M. and Kamel, S., 2023. Distributed intermittent fault diagnosis in wireless sensor network using likelihood ratio test. IEEE Access, 11, pp.6958-6972.
  9. Mehta, P.S. and Das, S., 1992. A correlation for soot concentration in diesel exhaust based on fuel-air mixing parameters. Fuel, 71(6), pp.689-692.