Muhammad Abulaish
Associate Professor & Chairperson
Department of Computer Science
South Asian University
Room No.310,Akbar Bhawan
Chanakyapuri,New Delhi-21
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Profile

Dr. Muhammad Abulaish is an Associate Professor at the Department of Computer Science, South Asian University with over 17 years of experience in Academic and Research. Before joining South Asian University in Feb. 2016, he served Jamia Millia Islamia (A Central University) for more than 12 years (including 3 years as the head of the Department of Computer Science); Hamdard University for the period Sep. 2000 to Dec. 2003; and UPTEC Computer Consultancy Ltd., Lucknow for the period June 1998 to Aug. 2000. He was also the head of the "Internet Surveillance and Forensics" research group at the Centre of Excellence in Information Assurance, King Saud University, Saudi Arabia during Oct 2010 to Dec. 2012.


Abulaish received his Masters degree, MCA, from Motilal Nehru National Institute of Technology Allahabad in 1998, and PhD degree in Computer Science from Indian Institute of Technology Delhi in Feb. 2007.


Abulaish's research interests are in the areas of Data Analytics and Mining, Social Computing, Web Intelligence, Predictive Modeling, and Sentiment Analysis. He is keenly interested in developing analytical frameworks for integrated analysis of unstructured and structured data using data mining techniques for varied applications, including business intelligence, social network analysis, cyber security and forensics, open source intelligence, and web surveillance. Abulaish has over 75 research publications, including 2 papers in IEEE Transactions.


Abulaish is a senior member of IEEE, ACM, and CSI. He is also a life member of ISTE, IETE, and ISCA. He is a program committee member of several international conferences, and editorial board member/ reviewer of various journals of repute in his area of research.

Qualifications

  • PhD from Indian Institute of Technology Delhi , in 2007

Recent Publications

  • 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.

Research Interests

  • Data Analytics and Mining
  • Social Computing
  • Predictive Modeling
  • Web Intelligence
  • Opinion Mining and Sentiment Analysis

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