Dr. Amit Ramkissoon | The Department of Computing

Dr
Amit
Ramkissoon

Lecturer

(876) 927-1660

Ext: 8468

amit.ramkissoon@uwi.edu

Tabs

Biography

Amit Neil Ramkissoon earned a PhD in Computer Science from the Department of Computing & Information Technology at The University of the West Indies at St Augustine in 2024. He completed his BSc Information Technology in 2011 and MSc Computer Science in 2013 both at DCIT at The University of the West Indies at St Augustine. His research interests include collective intelligence, computational social systems, data mining, distributed computing, fake news detection, feature selection optimization, and mobile ad networks. He has published 16 peer-reviewed papers, 1 book chapter and 1 preprint to date with 3 publications awaiting publication. He is currently an Editorial Board Member for PriMera Scientific Engineering and has reviewed 26 journal papers from various internationals to date. He is currently a Lecturer at UWI Mona

Research Interests

Interests:

Research Interests: Artificial Intelligence, Data Mining, Distributed Computing, Fake News Detection, Machine Learning, Privacy, Social Computing

Publications

Publications:

Ramkissoon, Amit Neil, and Shareeda Mohammed. "An Experimental Evaluation of Data Classification Models for Credibility Based Fake News Detection." In 2020 International Conference on Data Mining Workshops (ICDMW), pp. 93-100. IEEE, 2020.
Ramkissoon, Amit Neil, Shareeda Mohammed, and Wayne Goodridge. "Determining an Optimal Data Classification Model for Credibility-Based Fake News Detection." The Review of Socionetwork Strategies 15, no. 2 (2021): 347-380.
Ramkissoon, Amit Neil, and Wayne Goodridge. "Legitimacy: An Ensemble Learning Model for Credibility Based Fake News Detection." In 2021 International Conference on Data Mining Workshops (ICDMW), pp. 254-261. IEEE, 2021.
Ramkissoon, Amit Neil, and Wayne Goodridge. "Veracity: A Fake News Detection Architecture for MANET Messaging." In 2021 8th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS), pp. 402-407. IEEE, 2021.
Ramkissoon, Amit Neil, and Wayne Goodridge. "An Ensemble Based Computational Social System for Fake News Detection in MANET Messaging." (2022).
Ramkissoon, Amit Neil, and Wayne Goodridge. "Detecting Fake News in MANET Messaging Using an Ensemble Based Computational Social System." In International Conference on Image Analysis and Processing, pp. 278-289. Cham: Springer International Publishing, 2022.
Ramkissoon, Amit Neil, and Wayne Goodridge. "An Energy-Efficient Ensemble-Based Computational Social System for Fake News Detection in MANET Messaging." In 2022 IEEE Eighth International Conference on Big Data Computing Service and Applications (BigDataService), pp. 182-183. IEEE, 2022.
Ramkissoon, Amit Neil, and Wayne Goodridge. "Enhancing the Predictive Performance of Credibility-Based Fake News Detection Using Ensemble Learning." The Review of Socionetwork Strategies 16, no. 2 (2022): 259-289.
Ramkissoon, Amit Neil, Vijayanandh Rajamanickam, and Wayne Goodridge. "Scene and Texture Based Feature Set for DeepFake Video Detection." In 2022 IEEE International Conference on Data Mining Workshops (ICDMW), pp. 90-97. IEEE, 2022.
Ramkissoon, Amit Neil, Vijayanandh Rajamanickam, and Wayne Goodridge. "Fake Face2Face Video Detection Using a Novel Scene and Texture Based Feature Set." In 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE), pp. 1922-1928. IEEE, 2023.
Ramkissoon, Amit Neil. "Investigating Public IP Address Assignment in Infrastructureless Social Networks." 10th International Conference on Human Interaction & Emerging Technologies (IHIET), Nice, France, 22-24 August 2023, pp. 262-269. AHFE International, 2023.
Ramkissoon, Amit Neil, Kris Manohar, and Wayne Goodridge. "Examining the Robustness of an Ensemble Learning Model for Credibility Based Fake News Detection." In International Conference on Image Analysis and Processing, pp 235–246. Cham: Springer International Publishing, 2023.
Ramkissoon, Amit Neil, Vijayanandh Rajamanickam, and Wayne Goodridge. "A Feature Set for Neural Texture Video Detection Based on Scenes and Textures." In 2023 IEEE International Conference on Data Mining Workshops (ICDMW), pp. 1604-1611. IEEE, 2023.
Ramkissoon, Amit Neil, Vijayanandh Rajamanickam and Wayne Goodridge. "Developing a Feature Set from Scene and Texture Features for Detecting Neural Texture Videos Using Boosted Decision Trees." The Review of Socionetwork Strategies 18, no. 2 (2024).
Ramkissoon, Amit Neil, and Wayne Goodridge. "Evaluating the Network Performance of the Ensembled-Based Veracity Architecture for Fake News Detection in Infrastructureless Social Networks." The Review of Socionetwork Strategies 18, no. 2 (2024).
Z. Mohammed, G. Gouveia, A. Ramkissoon, et al. “Prediction of Soil Swelling Using Machine Learning Techniques.” Modeling Earth Systems and Environment 11 (2025): 392. https://doi.org/10.1007/s40808-025-02576-9.
Ramkissoon, Amit Neil, Vijayanandh Rajamanickam, and Wayne Goodridge. "Internet of Things for advanced photovoltaics technology." In Advanced Materials and Technologies for Photovoltaics, pp. 459-470. Elsevier, 2026.
Mohammed, Zuhrah, Elena Panchoo, Jahnvi Sooknanan, Amit Neil Ramkissoon, Diana Ragbir-Shripat and Vijayanandh Rajamanickam. "Ontology Driven Fake News Detection for Post Disaster Management." In 2025 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE), 2025 (accepted).
⁠Ramkissoon, Amit Neil, Vijayanandh Rajamanickam and Wayne Goodridge. "A Novel Scene and Texture Based Feature Set for Detecting Multiple Types of Fake Video." Signal, Image and Video Processing (2023) (Under-Review).
Bedasie, Akash, Nirvan Ragoonath, Priya Lackhan, Amit Neil Ramkissoon, and Kris Manohar. " Identifying Fake Audio Using Social Media Metadata and Audio Features." In 2025 International Conference on Data Mining (ICDM), IEEE, 2025 (accepted).

Online Systems

Student Services

Registration & Fees

Online Support

The University of the West Indies, Mona

The Department of Computing

Dr
Amit
Ramkissoon

Tabs

Online Systems

Student Services

Registration & Fees

Online Support

The Department of Computing

DrAmitRamkissoon

Tabs

Dr
Amit
Ramkissoon