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)
Dr. M. Abulaish is a Professor at the Department of Computer Science and Engineering, South Asian University (SAU), New Delhi, India, with over 26 years of experience in academia and research. He has been at SAU since February 2016 and has served in several capacities, including Chairperson of the Department of Computer Science (2016-2018 and 2021-2023), Director (Admissions and Examinations), and Acting Registrar (May 2022–September 2024). 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 at King Saud University's Centre of Excellence in Information Assurance in Riyadh, Saudi Arabia, where he led the Internet Surveillance and Forensics research group for over two years (2010 to 2012).
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, artificial intelligence, 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 nine papers in IEEE/ACM Transactions.
He is an Associate Editor for the Social Network Analysis and Mining (a Springer journal) and Online Social Networks and Media (an Elsevier journal). He served as a Senior Program Committee member for CIKM (2022-2024). As a member of the Program Committee, he frequently serves prestigious international conferences such as SDM, CIKM, IJCAI-ECAI, PAKDD, ASONAM, and Web Intelligence. 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 numerous reputable journals. He holds senior memberships with IEEE, ACM, and CSI. In addition, he is a lifetime 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.
