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Muhammad Abulaish

Professor | Former Chairperson
PhD (Indian Institute of Technology Delhi, 2007)

Contact Details

abulaish(at)sau.ac.in
LS-308, Department of Computer Science, South Asian University, New Delhi-68, India
Web Profile

Profile

Dr. M. Abulaish is a Professor of Computer Science at South Asian University (SAU) in 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). Before joining SAU, he worked as Professor and Head of the Computer Science Department at Jamia Millia Islamia (A Central University) in New Delhi, India for over 18 years. 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 eight 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 (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.

Highest Qualification

  • PhD (Indian Institute of Technology Delhi, 2007)

Research Interests

  • Data Analytics and Mining
  • Artificial Intelligence & Machine Learning
  • Network Analysis
  • Health Informatics

Recent Publications

  • Muhammad Abulaish, Mohd Fazil, and Muhammed J. Zaki, Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual Semantics, ACM Transactions on Knowledge Discovery from Data, Article No.: 70, pp, 1-30, 2022.
  • Zubair Ali Ansari, Jahiruddin, and Muhammad Abulaish, An Efficient Subgraph Isomorphism Solver for Large Graphs, IEEE Access, Vol. 9, pp. 61697-61709, 2021.
  • Ashraf Kamal and Muhammad Abulaish, CAT-BiGRU: Convolution and Attention with Bi-directional Gated Recurrent Unit for Self-Deprecating Sarcasm Detection, Cognitive Computation, Topical Collection: A Decade on Sentic Computing, Vol. 14, Springer, pp. 91-109, 2021.
  • Mohd Fazil, Amit Kumar Sah, and Muhammad Abulaish, DeepSBD: A Deep Neural Network Model With Attention Mechanism for SocialBot Detection, IEEE Transactions on Information Forensics and Security, Vol. 16, pp. 4211-4223, 2021.
  • Muhammad Abulaish, Ashraf Kamal, and Mohammed J. Zaki, A Survey of Figurative Language and its Computational Detection in Online Social Networks, ACM Transactions on the Web, Volume 14, Issue 1, pp. 3:1-3:52, 2020.
  • Vineet K. Sejwal and Muhammad Abulaish, CAMO: A Context-Aware Movie Ontology Generated from LOD and Movie Databases, Multimedia Tools and Applications, Springer Nature, pp. 1-23, 2020.
  • Chetna Kumari, Muhammad Abulaish, and Naidu Subbarao, Exploring Molecular Descriptors and Fingerprints to Predict mTOR Kinase Inhibitors using Machine Learning Techniques, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Volume: 18, Issue: 5, pp. 1902-1913, 2020.
  • Muhammad Abulaish and Mohd Fazil, Socialbots: Impacts, Threat-Dimensions, and Defense Challenges, IEEE Technology and Society Magazine, vol. 39, no. 3, IEEE, pp. 52-61, 2020.

  • Khalid Al-Rowaily, Muhammad Abulaish, Nur Al-Hasan Haldar, and Majed Al-Rubaiana, BiSAL – A bilingual sentiment analysis lexicon to analyze Dark Web forums for cyber security, Digital Investigation – The International Journal of Digital Forensics & Incident Response, Vol. 12, Elsevier, pp. 53-62, 2015.

  • Muhammad Abulaish and Sajid Y. Bhat, Classifier Ensembles using Structural Features for Spammer Detection in Online Social Networks, Foundations of Computing and Decision Sciences, Vol. 40, Issue 2, Poznan University of Technology, Poland, pp. 89-105, 2015.

  • Sajid Y. Bhat and Muhammad Abulaish, OCMiner: A Density-Based Overlapping Community Detection Method for Social Networks, Intelligent Data Analysis, Vol. 19, Issue 4, IOS Press, Netherland, pp. 1-31, 2015.

  • Tarique Anwar and Muhammad Abulaish, Ranking Radically Influential Web Forum Users, IEEE Transactions on Information Forensics and Security, Vol. 10, Issue 6, pp. 1289-1298, 2015.

  • Muhammad Abulaish and Sajid Y. Bhat, A Density-Based Approach to Detect Community Evolutionary Events in Online Social Networks, F. Can et al. (Eds.), State of the Art Applications of Social Network Analysis, Springer, ISBN: 978-3-319-05911-2, pp. 189-208, 2014.

  • Tarique Anwar and Muhammad Abulaish, A Social Graph Based Text Mining Framework for Chat Log Investigation, Digital Investigation – The International Journal of Digital Forensics & Incident Response, Vol. 11, Issue 4, Elsevier, pp. 349-362, 2014.

  • Sajid Y. Bhat and Muhammad Abulaish, HOCTracker: Tracking the Evolution of Hierarchical and Overlapping Communities in Dynamic Social Networks, IEEE Transactions on Knowledge and Data Engineering, Vol.27,Issue 4, pp. 1019-1032, 2014.

  • Tarique Anwar and Muhammad Abulaish, Namesake Alias Mining on the Web and its Role Towards Suspect Tracking, Information Sciences, Vol. 276, Elsevier, pp. 123-145, 2014.

  • Sajid Y. Bhat, Muhammad Abulaish, and Abdulrahman A. Mirza, Spammer Classification using Ensemble Methods over Structural Social Network Features, In Proceedings of the 14th IEEE/WIC/ACM International Conference on Web Intelligence (WI’14), Warsaw, Poland, pp. 454-458, Aug. 11-14, 2014.

  • Faraz Ahmed and Muhammad Abulaish, A Generic Statistical Approach for Spam Detection in Online Social Networks, Computer Communications, 36(10-11), Elsevier, pp. 1120-1129, June 2013.

  • Sajid Y. Bhat and Muhammad Abulaish, Analysis and Mining of Online Social Networks – Emerging Trends and Challenges, WIREs Data Mining and Knowledge Discovery, 3(6), John Wiley and Sons, pp. 408-444, Nov/Dec 2013.

  • Sajid Y. Bhat and Muhammad Abulaish, Community-Based Features for Identifying Spammers in Online Social Networks, In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’13), Niagara Falls, Canada, ACM, pp. 100-107, Aug. 25-28,2013.

  • Faraz Ahmad and Muhammad Abulaish, Identification of Sybil Communities Generating Context-Aware Spam on Online Social Networks, In Proceedings of the 15th Asia-Pacific Web Conference (APWeb’13), Sydney, Australia, pp. 268-279, April 4-6, 2013.

  • Tarique Anwar and Muhammad Abulaish, Modeling a Web Forum Ecosystem into an Enriched Social Graph, Martin Atzmueller, Alvin Chin, Denis Helic, and Andreas Hotho (Eds.), Ubiquitous Social Media Analysis, Springer, ISBN: 978-3-642-45391, pp. 152-152, 2013.

  • Muhammad Abulaish and Jahiruddin, Web-Content Mining for Learning Generic Relations and their Associations from Textual Biological Data, Mourad Elloumi and Albert Y. Zomaya (Eds.), Biological Knowledge Discovery Handbook: Preprocessing, Mining and Post-Processing of Biological Data, John Wiley & Sons Inc., New Jersey, ISBN: 9781118132739, pp. 919-942, 2013.

  • Faraz Ahmad and Muhammad Abulaish, An MCL-Based Approach for Spam Profile Detection in Online Social Networks, In Proceedings of the 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE-TrustCom), Liverpool, UK, pp. 602-608, June 25-27, 2012.

  • Tarique Anwar and Muhammad Abulaish, An MCL-Based Text Mining Approach for Namesake Disambiguation on the Web, In Proceedings of the 12th IEEE/WIC/ACM International Conference on Web Intelligence (WI’12), Macau, pp. 40-44, Dec. 4-7, 2012.

  • Tarique Anwar and Muhammad Abulaish, Identifying Cliques in Dark Web Forums – An Agglomerative Clustering Approach, In Proceedings of the 10th International Conference on Intelligence and Security Informatics (IEEE ISI’12), Washington DC, USA, pp. 171-174, June 11-14, 2012.

  • Tarique Anwar and Muhammad Abulaish, Mining an Enriched Social Graph to Model Cross-Thread Community Interactions and Interests, In Proceedings of the International Workshop on Modeling Social Media (MSM’12): Collective Intelligence in Social Media – Co-located with the 23rd ACM Conference on Hypertext and Social Media, Milwaukee, WI, USA, ACM, pp. 35-38, June 25-28, 2012.

  • Sajid Y. Bhat and Muhammad Abulaish, OCTracker: A Density-Based Framework for Tracking the Evolution of Overlapping Communities in OSNs, In Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’12), Istanbul, Turkey, August 26-29, 2012.

  • Tarique Anwar, Muhammad Abulaish and Khaled S. Alghathbar, Web Content Mining for Alias Identification: A first step towards suspect tracking, In Proceedings of the 9th IEEE International Conference on Intelligence and Security Informatics (ISI’11), Beijing, China, pp. 195-197, 2011.

  • Muhammad Abulaish, Tanvir Ahmad, Jahiruddin and Mohammed N. Doja, Opinion-Based Imprecise Query Answering, In Proceedings of the 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’10), Hyderabad, India, LNAI-6119, Part-II, Springer-Verlag, pp. 238-248, June 21-24, 2010.

  • Muhammad Abulaish, Jahiruddin and Lipika Dey, Mining Biological Interactions from Biomedical Texts for Efficient Query Answering, Jake Y. Chen & Stefano Lonardi (Eds.), Biological Data Mining, Chapman & Hall/CRC Data Mining and Knowledge Discovery Series, Taylor and Francis Group Publisher, ISBN: 9781420086843, pp. 485-527, 2009.

  • Lipika Dey and Muhammad Abulaish, A Fuzzy Ontology-Based Text Mining System for Knowledge Acquisition, Ontology Enhancement and Query Answering from Bio-Medical Texts, Gary B. Fogel, David W. Corne and Yi Pan (Eds.), Computational Intelligence in Bioinformatics, IEEE Press Series on Computational Intelligence, Wiley/ IEEE Inc., ISBN-9780470105269, pp.297-339, 2008.

  • Muhammad Abulaish and Lipika Dey, Biological Relation Extraction and Query Answering from Medline Abstracts using Ontology-based Text Mining, Data and Knowledge Engineering, Vol. 61, Issue 2, Elsevier, pp. 228-262, 2007.

Awards & Honours

  • Member of the Distinguished Review Board for ACM Transactions on the Web
  • Senior PC Member, CIKM-2022
  • Associate Editor, Social Network Analysis and Mining, Springer
  • Received a Bronze medal at the 40th International Exhibition of Inventions of Geneva for one of our inventions, April 18-22, 2012
  • Received two Bronze medals from Malaysian Association of Research Scientists for our inventions at Malaysia Technology Expo, February 16-18, 2012
  • Received a Silver Medal from Malaysian Association of Research Scientists for our inventions at Malaysia Technology Expo, February 17-19, 2011
  • Senior member of ACM since April 2012
  • Senior member of IEEE since March 2012
  • Senior member of CSI since 2010

Last Updated : 22 Sep 2024