Senior Member: IEEE, CSI, and ACM | Life Member: ISTE, ISCA, and IETE
Laboratory for Data Science & Analytics, Department of Computer Science
South Asian University (An International University Established by all SAARC Member States)
Muhammad Abulaish is a Professor in the Department of Computer Science, South Asian University (SAU), New Delhi, India, with over 24 years of experience in Academics and Research. Since May 2022, he has been working as the Acting Registrar of SAU. Prior to joining SAU, he worked for more than 18 years at Jamia Millia Islamia (A Central University), New Delhi, India, in various positions, including Professor and Head of the Computer Science department. He also worked as the head of the Internet Surveillance and Forensics research group at King Saud University's Centre of Excellence in Information Assurance in Riyadh, Saudi Arabia, for over two years.
Abulaish earned his Ph.D. degree in Computer Science from the Indian Institute of Technology Delhi in 2007. He founded the Laboratory for Data Science and Analytics (LDSA) at SAU, which serves as a central hub of data-intensive, inter-disciplinary applied research. His research focuses on the development of innovative Data Mining, Machine Learning, and Network Analysis techniques to address real-world societal and industrial problems, particularly for text mining, social network analysis, figurative language detection, rumor detection, sentiment and emotion analysis, health informatics, and data-driven cybersecurity.
He has published over 140 research articles in international journals, books, and conference proceedings, including seven in IEEE/ACM Transactions. He is an Associate Editor for the Social Network Analysis and Mining journal. He is assigned to the Distinguished Review Board of ACM Transactions on the Web for the year 2022-2024. He served as a Senior Program Committee member for CIKM'22 and CIKM'23. As a member of the Program Committee, he frequently serves prestigious international conferences such as SDM, CIKM, IJCAI-ECAI, PAKDD, WI-IAT, and ASONAM. He has also served as Publicity Co-chair for WI'19 and WI'20, as well as Workshop Co-chair for ASONAM'20. He is also a member of the editorial board and a reviewer for a number of prominent journals. He is a senior member of CSI, IEEE, and ACM. He is also a life member of ISTE, IETE, and ISCA.
conteNXt: A Graph-Based Approach to Assimilate Content and Context for Event Detection in OSNSielvie Sharma, Muhammad Abulaish, and Tanvir Ahmad, IEEE Transactions on Computational Social Systems, Volume 11, Issue 4, pp. 5483-5495, 2024.
A Multi-Task Learning Framework using Graph Attention Network for User Stance and Rumor Veracity PredictionMuhammad Abulaish, Anuj Saraswat, and Mohd Fazil, In Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Kusadasi, Turkey, 6-9 November 2023, pp. 1-5.
Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual SemanticsMuhammad Abulaish, Mohd Fazil, and Muhammed J. Zaki, ACM Transactions on Knowledge Discovery from Data, Article No.: 70, 2022, pp, 1-30.
DeepSBD: A Deep Neural Network Model With Attention Mechanism for SocialBot DetectionMohd Fazil, Amit Kumar Sah, and Muhammad Abulaish, IEEE Transactions on Information Forensics and Security, Vol. 16, 2021, pp. 4211-4223.
CAT-BiGRU: Convolution and Attention with Bi-directional Gated Recurrent Unit for Self-Deprecating Sarcasm DetectionAshraf Kamal and Muhammad Abulaish, Cognitive Computation, Topical Collection: A Decade on Sentic Computing, Vol. 14, Springer, 2021, pp. 91-109.
