Department of Computer Science and Engineering
संगणक विज्ञान एवं अभियांत्रिकी विभाग

Ms. Minakshi Boruah

Temporary Faculty

minakshi.boruah@nitsikkim.ac.in

Research Interest : Artificial Intelligence Machine Learning Deep Learning Computational Biology

Experience

Teaching Assistant, Department of Computer Science and Engineering, National
Institute of Technology, Jalandhar (July 2016-August 2018)
Teaching Assistant, Department of Computer Science and Engineering, National
Institute of Technology, Mizoram (August 2021-August 2024)

Teachings

C programming Laboratory
Embedded Systems Laboratory
Computer Networks Laboratory
Object Oriented Programming Laboratory

Education

Doctor of philosophy (Ph. D.) in Computer Science and Engineering: National Institute of Technology, Mizoram (Thesis Submitted)
Master of Technology (M. Tech.) in Computer Science and Engineering: National Institute of Technology Jalandhar (2016-2018)
Bachelor of Technology (B. Tech.) in Computer Science and Engineering: Ambala College of Engineering And Applied Research (2010-2014)

Contact Address :

Dept. of Computer Science and Engineering
National Institute of Technology Sikkim
Barfung Block, Ravangla, South Sikkim-737139

Journals

Boruah, M. and Das, R. CaDenseNet: a novel deep learning approach using capsule network with attention for the identification of HIV-1 integration site. Publication date: 2023/8, Journal: Neural Computing and Applications, Volume: 35, Issue: 23, Pages: 17113-17128, Publisher: Springer London. https://doi.org/10.1007/s00521-023-08585-y, SCI, IF-6.0, Rank-Q1.

Boruah, M. and Das, R. “MLCapsNet+: A multi-capsule network for the identification of the HIV ISs along important sequence positions.” Publication date: 2024/5/1, Journal: Image and Vision Computing, Volume: 145, Pages: 104990, Publisher: Elsevier. https://doi.org/10.1016/j.imavis.2024.104990, SCI, IF-4.7, Rank-Q1.

International Conferences(s)

Boruah, M. and Das, R., “Transfer Learning-Based Advanced Deep Learning Architecture for the Identification of HIV-1 Integration Sites Using Imbalanced Dataset”. Publication date: 2023/2/24, Conference: International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022). Volume 327, Pages: 477-489, Publisher: Springer Nature Singapore. doi:10.1007/978-981-19-7524-0 42 - Scopus Indexed, Conference (2022).

Boruah, M. and Das, R., “Developments Pertaining to the Characteristics of the Sites of HIV Integration Highlighting its role in Clinical Research and its Future with AI: A Review,” Conference: IEEE Inter-national IOT, Electronics and Mechatronics Conference (IEMTRONICS2022), Publication date: 2022/6/20, Pages: 1-7, Volume: 1, Pages: 1-7, Publisher: IEEE. DOI: 10.1109/IEMTRONICS55184.2022.9795700. -Scopus Indexed, Conference (2022).

Boruah, M. and Das, R., “Identification of DNA motif using likelihood and attention based pooling method in the GRU framework” Publication date: 2022/2/14, Conference: 2021 6th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE), 2021, Pages:1-5, Volume: 6, Pages: 1-5, Publisher: IEEE, doi: 10.1109/ICRAIE52900.2021.9704010. Scopus Indexed, Conference (2021).

International Book Chapters(s)

Boruah, M. and Das, R., “Transfer Learning-Based Advanced Deep Learning Architecture for the Identification of HIV-1 Integration Sites Using Imbalanced Dataset”. Publication date: 2023/2/24, Conference: International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022). Chapter 42 in the Book: Intelligent Data Engineering and Analytics. Part of the book series: Smart Innovation, Systems and Technologies, Volume 327, Pages: 477-489, Publisher: Springer Nature Singapore. doi:10.1007/978-981-19-7524-0 42 - Scopus Indexed.

Achievements :

One of the presented papers entitled ”Transfer Learning Based Advanced Deep Learning Architecture for the Identification of HIV-1 Integration Sites Using Imbalanced Dataset”, received best paper award in FICTA 2022: 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications.

Was selected as a Guest Scientist by the Department of Scientific Computing & Mathematics; Scientific Computing Center (SCC) the IT Center of the Karlsruhe Institute of Technology (KIT) previously the ”Steinbuch Centre for Computing” under the National High-Performance Computing (NHR) funded Guest Scientist Program for High-Performance Computing at SCC for the research at the prestigious SCC, KIT, Germany during the period 1 to 30th August, 2023.