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Department of Computer Science and Engineering

DEPARTMENTS

Engineering

Science

CENTRE

Dr. Lilapati Waikhom

Assistant Professor

Machine Learning, Deep Learning, Graph Neural Network

PROFESSIONAL BACKGROUND
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6th March 2025ContinuingAssistant ProfessorNERIST
HONORS AND AWARDS
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EDUCATIONAL QUALIFICATION
DegreeSubjectUniversityYear
Ph.D.Computer Science
& Engineering		NIT, Silchar2024
M.TechComputer Science
& Engineering		NIT, AP2019
B.E.Computer Science
& Engineering		MIT, Takyelpat2016
Class XIIPCMCOMET2012
Class XMaths, Science, Social Science, English, ManipuriAJAD2010
ADMINISTRATIVE BACKGROUND
FromToDesignationOrganisation
MEMBERSHIPS IN PROFESSIONAL BODIES

TEACHING ENGAGEMENTS
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M. TECH. THESIS SUPERVISED
Title of ProjectNames of Students
PH.DS SUPERVISING
TopicScholar NameStatus of PhDRegistration Year
PARTICIPATION IN SHORT TERM COURSES
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COURSES OR CONFERENCES ORGANISED
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BOOKS AUTHORED
PUBLICATIONS

Journals

  1. Lilapati Waikhom, and Ripon Patgiri. "A survey of graph neural networks in various learning paradigms: methods, applications, and challenges." Artificial Intelligence Review" 56.7 (2023): 6295-6364
  2. Lilapati Waikhom, Yeshwant Singh, and Ripon Patgiri. "PO-GNN: Position-observant inductive graph neural networks for position-based prediction." Information Processing & Management, https://doi.org/10.1016/j.ipm.2023.103333Get rights and content
  3. Lilapati Waikhom, Ripon Patgiri, and Laiphrakpam Dolendro Singh. "Dynamic temporal position observant graph neural network for traffic forecasting." Applied Intelligence 53.20 (2023): 23166-23178
  4. Sabuzima Nayak, Ripon Patgiri, Lilapati Waikhom, and Arif Ahmed. "A review on edge analytics: Issues, challenges, opportunities, promises, future directions, and applications." Digital Communications and Networks 10, no. 3 (2024): 783-804. https://doi.org/10.1016/j.dcan.2022.10.016
  5. Yeshwant Singh, Lilapati Waikhom, and Anupam Biswas. "Swaragram: A software toolbox for musical feature of Indian music." Software Impacts 15 (2023): 100462, https://doi.org/10.1016/j.simpa.2022.100462
  6. Shamsi, Zeba, Lilapati Waikhom, Anish Kumar Saha, Ripon Patgiri, Mutum Franckie Singha, and Dolendro Singh Laiphrakpam. "Visually meaningful cipher data concealment." Digital Signal Processing 155 (2024): 104717, https://doi.org/10.1016/j.dsp.2024.104717

Conferences

  1. Lilapati Waikhom, and Rajat Subhra Goswami. "Fake news detection using machine learning." In Proceedings of international conference on advancements in computing & management (ICACM). 2019.
  2. Lilapati Waikhom, and Ripon Patgiri. "Recurrent convolution based graph neural network for node classification in graph structure data." In 2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence), pp. 201-206. IEEE, 2022.
  3. Lilapati Waikhom, and Ripon Patgiri. "Generalized graph neural network for prediction of molecular property." In 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS), vol. 1, pp. 547-552. IEEE, 2022.
  4. Lilapati Waikhom, and Ripon Patgiri. "GNN-Adv: Defence Strategy from Adversarial Attack for Graph Neural Network." In 2022 IEEE Silchar Subsection Conference (SILCON), pp. 1-7. IEEE, 2022.
  5. Lilapati Waikhom, Sabuzima Nayak, and Ripon Patgiri. "A survey on bloom filter for multiple sets." In Modeling, Simulation and Optimization: Proceedings of CoMSO 2020, pp. 775-789. Springer Singapore, 2021.

Book Chapter

  1. Lilapati Waikhom, and Ripon Patgiri. "An empirical investigation on BigGraph using deep learning." In Advances in computers, vol. 128, pp. 107-133. Elsevier, 2023.