Jerry W. Sangma

Designation: 

Assistant Professor

Date of Joining at NITK: 

Thursday, March 13, 2025

Professional Experience: 

1. March 2025 – Current: Assistant Professor, NITK Surathkal, India
2. February 2024 – February 2025: Postdoctoral Fellow, Libera Universita di Bolzano, Italy
3. January 2023 – February 2024: UPES University, Dehradun, India

Contact Details

E-mail: 

jerry.sangma@nitk.edu.in
Faculty (author) Identifiers
Academic Background

Ph.D, Computer Science and Engineering, NIT Meghalaya (2022)
M.Tech, Computer Science and Engineering, NIT Meghalaya (2018)
M.Sc, Computer Science, Pondicherry University (2016)
B.Sc, Computer Science, St. Anthony’s College Shillong (2014)

Areas of Interest
  • Machine Learning
  • Data Streams
  • Time Series
  • Clustering
  • Anomaly Detection
Achievements

Awards:

1. Marie Skłodowska-Curie Actions Seal of Excellence, European Commission , 2024
2. MHRD PhD Fellowship, India, 2018-2022
3. MHRD M.Tech Fellowship, India, 2016-2018
4. Runner-Up, Poster Presentation at the 3rd Research Conclave, NIT Meghalaya, 2022
5. Runner-Up, Hackathon for Clean Shillong, Govt. of Meghalaya, 201
Significant Publications

1. J. W. Sangma, Vipin Pal, Yogita, Gaurav Singal, and Swagatam Das, “Clustering Irregular Data Streams With Fuzzy Induction”, IEEE Transactions on Emerging Topics in Computational Intelligence, 2025.
2. J. W. Sangma, Y. Rani, V. Pal, N. Kumar, and R. Kushwaha, “FHC-NDS: Fuzzy hierarchical clustering of multiple nominal data streams”, IEEE Transactions on Fuzzy Systems, 2022.
3. J. W. Sangma, M. Sarkar, V. Pal, A. Agrawal, and Yogita, “Hierarchical clustering for multiple nominal data streams with evolving behaviour,” Complex & Intelligent Systems, vol. 8, no. 2, pp. 1737–1761, 2022.
4. Pranab Das, Jerry W. Sangma, Vipin Pal, and Yogita. 2021. Predicting adverse drug reactions from drug functions by binary relevance multi-label classification and MLSMOTE. In Proceedings of the International Conference on Practical Applications of Computational Biology &Bioinformatics. Springer, 165–173.
5. Yogita, Jerry W. Sangma, SR Ngamwal Anal, and Vipin Pal. "Clustering-based hybrid approach for identifying quantitative multidimensional associations between patient Attributes, drugs and adverse drug reactions." Interdisciplinary Sciences: Computational Life Sciences 12 (2020): 237-251.
6. Upasana Chutia, Jerry W. Sangma, Vipin Pal, and Yogita. "Data-driven extraction of quantitative multi-dimensional associations of cardiovascular drugs and adverse drug reactions." In Practical Applications of Computational Biology and Bioinformatics, 13th International Conference, pp. 70-77. Springer International Publishing, 2020.

 

Contact us

Dr. P. Sam Johnson, Professor and Head
Department of MACS, NITK, Surathkal
P. O. Srinivasnagar, Mangalore - 575 025
Karnataka, India.

  • Hot line: +91-0824-2474048

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