Department of Computer Science and Engineering

DEPARTMENTS

Engineering

Science

CENTRE

Dr. Lilapati Waikhom

Assistant Professor

Machine Learning, Deep Learning, Graph Neural Network

PROFESSIONAL BACKGROUND
From(Date of Joining)ToDesignationOrganisation
6th March 2025ContinuingAssistant ProfessorNERIST
HONORS AND AWARDS
AwardInstituteYear
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
June 24, 2026ContinuingIn-charge, PC LabDeptt. of CSE, NERIST
July 31, 2025ContinuingCoordinator, R&DDeptt. of CSE, NERIST
January 20, 2026ContinuingVice Chairperson, GymkhanaNERIST
July 31, 2025ContinuingExaminer, IGNOU ItanagarDeptt. of CSE, NERIST
September 28, 2025September 28, 2026Departmental Coordinator, Shristi 2026NERIST
NEENERIST
MEMBERSHIPS IN PROFESSIONAL BODIES

TEACHING ENGAGEMENTS
TitleCourse CodeModuleSemesterYear
Programming for Problem Solving(CI)ES21200Degree2nd2025
Introduction to Data Structures and Algorithms (CC & CI)AI7102PG1st2025
Basics of Computers and Programming (CI)ES12100Base3rd2025
Deep Learning (CC & CI)AI7201PG2nd2026
Programming for Problem Solving (CC & CI)CSES201Base2nd2026
Introduction to Data Structures and Algorithms (CC & CI)AIPG103PG1st2026
Basics of Computers and ProgrammingCS301Base3rd2026
M. TECH. THESIS SUPERVISED
Title of ProjectNames of Students
Hybrid Advanced Text Analysis for Fake News Detection on Social Media using GNNLenny Nathan Siangbud (July, 2026)
PH.DS SUPERVISING
TopicScholar NameStatus of PhDRegistration Year
Molecular Property Prediction Ruchi Kumari PrasadOngoing2025
NLPLiagi Khambow Ongoing2025
PARTICIPATION IN SHORT TERM COURSES
Course NameSponsored ByDate
STTP on Outcome-Based Education and NBA AccreditationDepartment of Electrical Engineering, NERIST01-04-2025 to 05-04-2025
FDP on "Agentic AI with Integrated Vibe Coding Module – 2025"Department of CSE, KL University19-05-25 to 23-05-25
Workshop on "Intellectual Property Rights and Technology Transfer"NERIST16-09-25
Induction Training Phase INational Institute of Technical Teachers' Training and Research, Kolkata06-04-26 to 17-04-26
COURSES OR CONFERENCES ORGANISED
Conference/Course NameSponsored ByDate
Foundation Courses in AI/ Data ScienceNIELIT, Itanagar16-10-2025 to 10-02-2026 IEEE-GCON 2025
IEEE Ghy Subsection
18th-20th June 2025
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.
OTHERS
  1. Hospitality Track Chair, IEEE GCON 2025 sponsored by IEEE Ghy Subsection, 18th-20th June 2025
  2. Area/Track Chair AI, Data Science, Allied Areas and Applications, IEEE GCON 2025
  3. Organizing Committee Member, MHLRP, 2025
  4. Delivered talk on the topic "The Role of Artificial Intelligence and Machine Learning in Enhancing Cyber Security against Cyber Crime", RTC Institute of Technology, Ranchi, Jharkhand, 26th May 2025
  5. Delivered talk on the topic "Women in Engineering", GCON, Nerist, 18th June 2025
  6. Delivered talk on the topic "Artificial Intelligence and its Emergence", 15th Feb 2026