Muhammad Abulaish, PhD (IIT Delhi)

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) | | +91-11-24195148 (Off) | +91-11-24195153 (Lab)

Citations & Indexes

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Research Interests


Muhammad Abulaish is a Full Professor and Chairperson of 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 served as the Acting Registrar of SAU. Prior to joining SAU, he served as Full Professor and Head of the Computer Science Department at Jamia Millia Islamia (A Central University), New Delhi, India. He has also led the Internet Surveillance and Forensics research group at King Saud University's Centre of Excellence in Information Assurance, Riyadh, KSA.

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 130 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 served as a Senior Program Committee member for CIKM'22. As a member of the Program Committee, he frequently serves prestigious international conferences such as SDM, CIKM, IJCAI-ECAI, PAKDD, Web Intelligence, and BIOKDD. 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.

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  • Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual Semantics

    Muhammad 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 Detection

    Mohd 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 Detection

    Ashraf Kamal and Muhammad Abulaish, Cognitive Computation, Topical Collection: A Decade on Sentic Computing, Vol. 14, Springer, 2021, pp. 91-109.

  • A Survey of Figurative Language and its Computational Detection in Online Social Networks

    Muhammad Abulaish, Ashraf Kamal, and Mohammed J. Zaki, ACM Transactions on the Web, Volume 14, Issue 1, 2020, pp. 3:1-3:52.

  • A Hybrid Approach for Detecting Automated Spammers in Twitter

    Mohd Fazil and Muhammad Abulaish, IEEE Transactions on Information Forensics and Security, Volume 13, Issue 11, 2018, pp. 2707-2719.