Dr. Usha Rani Gogoi
Assistant Professor & HOD, CSE and Data Science (Incharge)
Dr. Usha Rani Gogoi
Department: Computer Science & Engineering
Email: usharani.gogoi@tnu.in
Highest Educational Qualification: Ph.D.
Experience: Teaching Exp. – 5 Years, Research Exp – 6 Yrs
Research Interest: Medical image processing, Artificial intelligence, Machine learning, Pattern recognition, Deep Learning, Computer-aided system design, Computer Vision, Soft-biometric, Face recognition
PUBLICATION:
Journal: 11
- Bhowmik, M.K., Gogoi, U.R., Majumdar, G., Bhattacharjee, D., Datta, D. and Ghosh, A.K., 2017. “Designing of ground-truth-annotated DBT-TU-JU breast thermogram database toward early abnormality prediction,” IEEE Journal of Biomedical and Health Informatics (Formerly known as IEEE Transactions on Information Technology in Biomedicine), Vol. 22, Issue. 4, pp. 1238 – 1249, ISSN. 2168-2194, Indexed by Science Citation Index (SCI), Impact factor :7.7, (J-BHI is ranked as one of the top 3 (out of 57) Health Information Management Journals according to H-index). DOI: 10.1109/JBHI.2017.2740500.
- Gogoi, U.R., Bhowmik, M.K., Bhattacharjee, D. and Ghosh, A.K., 2018. “Singular value-based characterization and analysis of thermal patches for early breast abnormality detection.,” in Physical and Engineering Sciences in Medicine (Formerly known as Australasian Physical and Engineering Science in Medicine), Springer, Vol. 41, Issue. 4, pp. 861 – 879, ISSN. 0158 – 9938, Indexed by Science Citation Index Expanded (SCIE), Impact factor: 4.4, DOI: https ://doi.org/10.1007/s13246-018-0681-4.
- Gogoi, U.R., Majumdar, G., Bhowmik, M.K. and Ghosh, A.K., 2019. “Evaluating the efficiency of infrared breast thermography for early breast cancer risk prediction in asymptomatic population,” in Infrared Physics Technology, Elsevier, Vol. 99, pp. 201 – 211, ISSN. Indexed by Science Citation Index Expanded (SCIE), Impact Factor: 3.3, DOI: https ://doi.org/10.1016/j.infrared.2019.01.004
- Gogoi, U.R., Bhowmik, M.K. and Majumdar, G., 2023. “MMSHRs: a morphology model of suspicious hyperthermic regions for degree of severity prediction from breast thermograms”, in Quantitative Infrared Thermography, Taylor and Francis, Indexed by Science Citation Index Expanded (SCIE), Impact Factor: 2.5, DOI: https://doi.org/10.1080/17686733.2022.2097614.
- Chatterjee, T., Gogoi, U.R., Samanta, A., Chatterjee, A., Singh, M.K. and Pasupuleti, S., 2024. “Identifying the most discriminative parameter for water quality prediction using machine learning algorithms”, Water, 16(3), Indexed by Science Citation Index (SCI), Impact Factor: 3.5, 481, DOI: https://doi.org/10.3390/w16030481.
- U.R. Gogoi, “WVEHDD: Weighted Voting based Ensemble System for Heart Disease Detection”, AIUB Journal Of Science And Engineering, 23 (1), Indexed by Scopus, ISSN: 1608 – 3679 (print) 2520 – 4890 (Online), DOI: 10.53799/ajse.v23i1.87
- M.S. Das, U.R. Gogoi, S. Mandal, “Efficient Adaptive Graph Velocity based Sliding mode Controller for path tracking of wheeled mobile robot in unknown environment”, Journal of Electrical Systems, Indexed by Scopus, ISSN: 1112-5209, Vol. 20, no. 3.
- M.S. Das, U.R. Gogoi, A. Samanta, “GraphDrug: A Multimodal Graph Learning for Predicting Bioactivity and Pharmacokinetics of Drug Candidates”, International Journal of Environmental Science, Indexed by Scopus, ISSN: 2229-7359, Vol. 11, issue. 14S, 2025, DOI: https://doi.org/10.64252/dvme6f15
- M.S. Das, U.R Gogoi, A. Samanta, S. Mandal, “AGW-NFIS: Adaptive Grey Woolf Neuro Fuzzy Inference System for Mobile Robot Navigation in an unknown environment”, Journal of Neonatal Surgery, ISSN: 2226-0439 (Online), (ISSN-L): 2226-0439, Vol. 14, issue. 32S, 2025, DOI: https://www.jneonatalsurg.com/index.php/jns/article/view/8055
- Roy, R., Gogoi, U.R., Das, M., Paul, P., Chakraborty, P., Das, S., Sarkar, S., Gupta, A.D., Malik, M., Sarker, R.K. and Tribedi, P., 2025. “Optimization of Doses of Antibiotics and Cuminaldehyde to Combat Methicillin‐Resistant Staphylococcus aureus (MRSA): A Study With Machine Learning”. APMIS, 133(10), p.e70076.
- Das, M.S., Gogoi, U.R. and Mandal, S., 2025. “Hybrid Adaptive Sliding Mode Controller for Path Tracking of Wheeled Mobile Robot in Uncertainty”. Ain Shams Engineering Journal, 16(12), p.103640.
International Conferences: 6
No. of Book/ Book Chapter: 3
Distinction / Award:
- Awarded DST Inspire Fellowship for PhD in 2015
- Gold Medallist in MTech (CSE)
No. of Abstarcts Presented in Seminar/ Conferences/ Symposium – 3