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Dr. Rabeeh Ayaz Abbasi

Dr. Rabeeh Ayaz Abbasi

Professor

rabbasi@qau.edu.pk

+92-51-9064-2050

Dr. Rabeeh Ayaz Abbasi
About

Rabeeh Abbasi is working as a tenured professor at the Department of Computer Science, Quaid-i-Azam University, Islamabad, Pakistan. He completed his PhD from the Institute of Web Science and Technologies (WeST) University of Koblenz-Landau, Germany. He has a vast research experience in the fields of social media analytics, network science, and data science. His research focuses on leveraging positive aspects of social media including social media’s use in saving lives, understanding events, and analyzing sentiments among many others. He has published more than 50 articles in reputed journals like IEEE Computational Intelligence Magazine Link, P1, Computers in Human Behavior Link, P1, P2, P3, P4, P5, P6, Telematics and Informatics Link, P1, Applied Soft Computing Link, P1, Knowledge-Based Systems Link, P1, Journal of Informetrics Link, P1, Expert Systems with Applications Link, P1, P2, P3, and Scientometrics Link, P1, P2, P3 and international conferences like ACM HyperText Conference (HT), Link, P1, ACM World Wide Web Conference (WWW), Link, P1, P2, P3, Pacific Asia Conference on Knowledge Discovery and Data mining (PAKDD), Link, P1, and European Conference on Information Retrieval (ECIR), Link, P1, P2. He has introduced and taught a variety of courses at undergrad and graduate level. He is often invited for talks at various conferences and universities. He is editorial board member of Transactions on Graph Data and Knowledge (TGDK). He has supervised a number of BS, MS, and PhD theses. He has also supervised a number of BS, MS, and PhD theses. As a supervisor, his main goal is establishing a research culture, where researchers are motivated to address research problems associated with real-life. As a teacher, his focus is on developing the interest of students in the courses they study, equipping them with the latest tools, technologies, and concepts, and helping them in becoming a progressive part of the community.

Research Interests
Data Science Machine Learning on Graphs Network Science Social Media Analytics Social Network Analysis
Education
PhD in Computer Science

University of Koblenz , Germany

Graduated: 2010
MS in Computer Science

FAST-NU, Islamabad , Pakistan

Graduated: 2004
Awards (8)
Tenured Professor 2023 Quaid-i-Azam University
Best Teacher Award 2017 King Abdul Aziz University
HEC Approved PhD Supervisor 2012 HEC
PetaMedia European scholarship 2010 PetaMedia EU Project
Student Travel Award 2009 ACM Hypertext
PhD Scholarship 2006 HEC
Bronze Medal in MS 2004 FAST-NU
4th position in programming contest at All Pakistan Inter University Computer Science Contest 2002 IIUI
Large Scale Machine Learning for Solving Real-Life Problems

Principal Investigator 2024 - 2025

Funding Agency: Quaid-i-Azam University
955,000
Optimum Use of Existing Resources: A Prototype Model of Road Safety

Consultant 2023 - 2025

Funding Agency: HEC
A General Purpose Social Media Analytics Tool

Principal Investigator 2020 - 2020

Funding Agency: IGNITE
80,000
Students Involved: Khuzama Muqeem
A Personal Stress Monitoring and Relieving System

Principal Investigator 2020 - 2020

Funding Agency: IGNITE
80,000
Students Involved: Ibrar Younas
Grievances Detection System

Principal Investigator 2020 - 2020

Funding Agency: IGNITE
80,000
Students Involved: Ghulam Farid
Event Detection System

Principal Investigator 2019 - 2019

Funding Agency: IGNITE
80,000
Students Involved: Ahsan Sheraz
Application of Pervasive Computing in Garments Industry

Principal Investigator 2014 - 2014

Funding Agency: Quaid-i-Azam University
140,000
Students Involved: Omar Aslam
Total: 66 publications
Type:
Year:
Sadad, A., Khattak, A.S., Abbasi, R.A., Sindhu, M.A., Bashir, S. Multi-features Point-of-Interest (POI) recommendation using graph neural network. Multimed Tools Appl 85, 175 (2026)

Journal 2026 DOI: 10.1007/s11042-026-21259-w

S. Hussain, A. S. Khattak, R. A. Abbasi, T. Russell-Rose, and V. L. R. Chinthalapati, "Identification of targets in disinformation news articles using supervised machine learning," in Advanced Data Mining and Applications, Q. Z. Sheng, G. Dobbie, J. Jiang, X. Zhang, W. E. Zhang, Y. Manolopoulos, J. Wu, W. Mansoor, and C. Ma, Eds. Singapore: Springer Nature Singapore, 2025, pp. 213-227. https://link.springer.com/chapter/10.1007/978-981-96-0847-8_15

Conference 2025 DOI: 10.1007/978-981-96-0847-8_15

Maryam Ahmad, Akmal Saeed Khattak, Rabeeh Ayaz Abbasi, Muhammad Tayyab Zamir, Fida Ullah, Alexander F. Gelbukh, Grigori Sidorov, Edgardo Manuel Felipe-Riverón: A Social Network Based Approach to Detect Fake News on Twitter Data Using Machine Learning. Computación y Sistemas (CyS) 29(4): 1941

Journal 2025 DOI: 10.13053/CyS-29-4-5627

K. Hussain, Z. Saeed, R. Abbasi, M. Sindhu, A. Khattak, S. Arafat, A. Daud, and M. Mushtaq, "Towards understanding the role of content-based and contextualized features in detecting abuse on twitter," Heliyon, vol. 10, no. 8, p. e29593, 2024. https://www.sciencedirect.com/science/article/pii/S240584402405624X

Journal 2024 DOI: 10.1016/j.heliyon.2024.e29593

S. Khan, R. A. Abbasi, M. A. Sindhu, S. Arafat, A. S. Khattak, A. Daud, and M. Mushtaq, "Predicting the victims of hate speech on microblogging platforms," Heliyon, vol. 10, no. 23, p. e40611, 2024. https://www.sciencedirect.com/science/article/pii/S240584402416642X

Journal 2024 DOI: 10.1016/j.heliyon.2024.e40611

M. Saddal, A. Rasheed, I.-u.-H. Qureshi, M. Irfan, A. Rehman, R. A. Abbasi, I. Sabir, H. Irfan, and M. Zaman, "Public transport network data: a case-study of Islamabad," in 2023 18th International Conference on Emerging Technologies (ICET), 2023, pp. 269-274. https://ieeexplore.ieee.org/abstract/document/10374962

Conference 2023 DOI: 10.1109/ICET59753.2023.10374962

M. Imtiaz Malik, M. Azam Sindhu, and R. Ayaz Abbasi, "Extraction of use case diagram elements using natural language processing and network science," PLOS ONE, vol. 18, no. 6, pp. 1-25, 06 2023. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0287502

Journal 2023 DOI: 10.1371/journal.pone.0287502

S. Athar, R. A. Abbasi, Z. Saeed, A. Said, I. Razzak, and F. D. Salim, "Asbine: Dynamic bipartite network embedding for incorporating structural and attribute information," World Wide Web, Jul 2023. https://link.springer.com/article/10.1007/s11280-023-01189-5

Journal 2023 DOI: 10.1007/s11280-023-01189-5

A. Rehman, R. A. Abbasi, I. U. H. Qureshi, and A. S. Khattak, "Classifying Text-Based Conspiracy Tweets related to COVID-19 using Contextualized Word Embeddings," in Working Notes Proceedings of the MediaEval 2022 Workshop, Bergen, Norway, 2023. https://arxiv.org/abs/2303.03706

Workshop 2023 DOI: 10.48550/arXiv.2303.03706

A. Ullah, R. A. Abbasi, A. S. Khattak, and A. Said, "Identifying Misinformation Spreaders: A Graph-Based Semi-Supervised Learning Approach," in Working Notes Proceedings of the MediaEval 2022 Workshop, Bergen, Norway, 2023. https://arxiv.org/abs/2303.03704

Workshop 2023 DOI: 10.48550/arXiv.2303.03704

A. M. Alsukhayri, M. A. Aslam, I. H. Khan, R. A. Abbasi, and A. Babour, "Toward building a linked open data cloud to predict and regulate social relations in the saudi society," IEEE Access, vol. 10, pp. 50 548-50 561, 2022. https://ieeexplore.ieee.org/document/9771465

Journal 2022 DOI: 10.1109/ACCESS.2022.3174090

Z. Jastania, R. A. Abbasi, M. A. Aslam, T. J. S. Khanzada and K. M. Ghori, "Analyzing Public Discussions about #SaudiWomenCanDrive using Network Science," in IEEE Access, vol. 10, pp. 4739-4749, 2022. https://ieeexplore.ieee.org/document/9667504

Journal 2022 DOI: 10.1109/ACCESS.2021.3140073

A. Banjar, Z. Ahmed, A. Daud, R. A. Abbasi, and H. Dawood, "Aspect-based sentiment analysis for polarity estimation of customer reviews on twitter," Computers, Materials & Continua, vol. 67, no. 2, pp. 2203-2225, 2021. http://www.techscience.com/cmc/v67n2/41318

Journal 2021 DOI: 10.32604/cmc.2021.014226

I. Safder, Z. Mehmood, R. Sarwar, S.-U. Hassan, F. Zaman, R. M. A. Nawab, F. Bukhari, R. A. Abbasi, S. Alelyani, N. R. Aljohani, and R. Nawaz, "Sentiment analysis for urdu online reviews using deep learning models," Expert Systems, vol. 38(8), p. e12751, 2021. https://onlinelibrary.wiley.com/doi/10.1111/exsy.12751

Journal 2021 DOI: 10.1111/exsy.12751

I. Tariq, M. A. Sindhu, R. A. Abbasi, A. S. Khattak, O. Maqbool, and G. F. Siddiqui, "Resolving cross-site scripting attacks through genetic algorithm and reinforcement learning," Expert Systems with Applications, vol. 168, p. 114386, 2021. http://www.sciencedirect.com/science/article/pii/S0957417420310599

Journal 2021 DOI: 10.1016/j.eswa.2020.114386

M. A. Masood and R. A. Abbasi, "Using graph embedding and machine learning to identify rebels on twitter," Journal of Informetrics, vol. 15, no. 1, p. 101121, 2021. http://www.sciencedirect.com/science/article/pii/S1751157720306386

Journal 2021 DOI: 10.1016/j.joi.2020.101121

M. I. Malik, M. A. Sindhu, A. S. Khattak, R. A. Abbasi, and K. Saleem, "Automating test oracles from restricted natural language agile requirements," Expert Systems, vol 38, no. 1, p. e12608, 2021. https://onlinelibrary.wiley.com/doi/abs/10.1111/exsy.12608

Journal 2021 DOI: 10.1111/exsy.12608

Z. Mahmood, A. Daud, and R. A. Abbasi, "Using machine learning techniques for rising star prediction in basketball," Knowledge-Based Systems, vol. 211, p. 106506, 2021. http://www.sciencedirect.com/science/article/pii/S0950705120306353

Journal 2021 DOI: 10.1016/j.knosys.2020.106506

K. M. Ghori, M. Awais, A. S. Khattak, M. Imran, R. A. Abbasi, and L. Szathmry, "A review on latest trends in non-technical loss detection," in Proceedings of the 1st Conference on Information Technology and Data Science, University of Debrecen. University of Debrecen, 11 2020, pp. 77-79. https://konferencia.unideb.hu/en/program-1st-conference-information-technology-and-data-science

Conference 2020 DOI: ceur-ws.org/Vol-2874/short12.pdf

K. M. Ghori, R. A. Abbasi, M. Awais, M. Imran, A. Ullah, and L. Szathmary, "Impact of feature selection on non-technical loss detection," in 6th Conference on Data Science and Machine Learning Applications (CDMA). Riyadh, Saudi Arabia: IEEE Xplore, March 2020, pp. 19-24. https://ieeexplore.ieee.org/document/9044241

Conference 2020 DOI: 10.1109/CDMA47397.2020.00009

M. Malik, M. A. Sindhu., and R. A. Abbasi., "Test oracle using semantic analysis from natural language requirements," in Proceedings of the 22nd International Conference on Enterprise Information Systems - Volume 2: ICEIS, INSTICC. SciTePress, 2020, pp. 345-352. https://www.scitepress.org/Link.aspx?doi=10.5220/0009471903450352

Conference 2020 DOI: 10.5220/0009471903450352

W. Alhabashi, K. Saeedi, N. Aljohani, S. Arafat, and R. Abbasi, "Mining and classifying social network data: The case on king abdul-aziz university twitter accounts," in Research and Innovation Forum 2020, A. Visvizi, M. D. Lytras, and N. R. Aljohani, Eds. Cham: Springer International Publishing, 2021, pp. 317-326. https://link.springer.com/chapter/10.1007/978-3-030-62066-0_24

Conference 2020 DOI: 10.1007/978-3-030-62066-0_24

Z. Saeed, R. A. Abbasi, and I. Razzak, "Evesense: What can you sense from twitter?", European Conference on Information Retrieval (ECIR), in Advances in Information Retrieval, J. M. Jose, E. Yilmaz, J. Magalhaes, P. Castells, N. Ferro, M. J. Silva, and F. Martins, Eds. Cham: Springer International Publishing, 2020, pp. 491-495. https://link.springer.com/chapter/10.1007%2F978-3-030-45442-5_64

Conference 2020 DOI: 10.1007/978-3-030-45442-5_64

A. Daud, M. Song, M. K. Hayat, T. Amjad, R. A. Abbasi, H. Dawood, and A. Ghani, "Finding rising stars in bibliometric networks," Scientometrics, vol. 124, pp. 633-661, Apr. 2020. https://link.springer.com/article/10.1007%2Fs11192-020-03466-w

Journal 2020 DOI: 10.1007/s11192-020-03466-w

A. S. Sunar, R. A. Abbasi, H. C. Davis, S. White, and N. R. Aljohani, "Modelling MOOC learners' social behaviours," Computers in Human Behavior, vol 107, pp. 1-12, 2020. http://www.sciencedirect.com/science/article/pii/S0747563218305995

Journal 2020 DOI: 10.1016/j.chb.2018.12.013

B. Alotaibi, R. A. Abbasi, M. A. Aslam, K. Saeedi, and D. Alahmadi, "Startup initiative response analysis (SIRA) framework for analyzing startup initiatives on twitter," IEEE Access, vol. 8, pp. 10718-10730, 2020. http://ieeexplore.ieee.org/document/8954650/

Journal 2020 DOI: 10.1109/ACCESS.2020.2965181

F. Haneef, R. A. Abbasi, M. A. Sindhu, A. S. Khattak, M. N. Noor, N. R. Aljohani, A. Daud, and S. Arafat, "Using network science to understand the link between subjects and professions," Computers in Human Behavior, vol. 106, 2020. http://www.sciencedirect.com/science/article/pii/S0747563219304479

Journal 2020 DOI: 10.1016/j.chb.2019.106228

K. M. Ghori, M. Imran, A. Nawaz, R. A. Abbasi, A. Ullah, and L. Szathmary, "Performance analysis of machine learning classifiers for non-technical loss detection," Journal of Ambient Intelligence and Humanized Computing, 2020. https://link.springer.com/article/10.1007/s12652-019-01649-9

Journal 2020 DOI: 10.1007/s12652-019-01649-9

K. M. Ghori, R. A. Abbasi, M. Awais, M. Imran, A. Ullah, and L. Szathmary, "Performance analysis of different types of machine learning classifiers for non-technical loss detection," IEEE Access, vol. 8, pp. 16033-16048, 2020. https://ieeexplore.ieee.org/document/8943419

Journal 2020 DOI: 10.1109/ACCESS.2019.2962510

M. A. Masood, R. A. Abbasi, and N. W. Keong, "Context-aware sliding window for sentiment classification," IEEE Access, vol. 8, pp. 4870-4884, 2020. https://ieeexplore.ieee.org/document/8948044

Journal 2020 DOI: 10.1109/ACCESS.2019.2963586

M. M. Fouad, A. Mahany, N. Aljohani, R. A. Abbasi, and S.-U. Hassan, "ArWordVec: Efficient word embedding models for arabic tweets," Soft Computing, vol. 24, no. 11, pp. 8061-8068, 2020. https://link.springer.com/article/10.1007/s00500-019-04153-6

Journal 2020 DOI: 10.1007/s00500-019-04153-6

T. Amjad, Y. Rehmat, A. Daud, and R. A. Abbasi, "Scientific impact of an author and role of self-citations," Scientometrics, vol. 122, no. 2, pp. 915-932, 2020. https://link.springer.com/article/10.1007/s11192-019-03334-2

Journal 2020 DOI: 10.1007/s11192-019-03334-2

A. Daud, T. Amjad, M. A. Siddiqui, N. R. Aljohani, R. A. Abbasi, and M. A. Aslam, "Correlational analysis of topic specificity and citations count of publication venues," Library Hi Tech, 2019, Vol. 37 Issue: 1, pp. 8-18. https://www.emerald.com/insight/content/doi/10.1108/LHT-03-2018-0042/full/html

Journal 2019 DOI: 10.1108/LHT-03-2018-0042

A. Said, T. D. Bowman, R. A. Abbasi, N. R. Aljohani, S.-U. Hassan, and R. Nawaz, "Mining network-level properties of twitter altmetrics data," Scientometrics, vol. 120, no. 1, pp. 217-235, Apr 2019. https://link.springer.com/article/10.1007%2Fs11192-019-03112-0

Journal 2019 DOI: 10.1007/s11192-019-03112-0

M. K. Hayat, A. Daud, A. A. Alshdadi, A. Banjar, R. A. Abbasi, Y. Bao, and H. Dawood, "Towards deep learning prospects: Insights for social media analytics," IEEE Access, vol. 7, no. 1, pp. 36958-36979, 2019. https://ieeexplore.ieee.org/document/8673951

Journal 2019 DOI: 10.1109/ACCESS.2019.2905101

M. S. Faisal, A. Daud, A. U. Akram, R. A. Abbasi, N. R. Aljohani, and I. Mehmood, "Expert ranking techniques for online rated forums," Computers in Human Behavior, vol. 100, pp. 168-176, 2019. http://www.sciencedirect.com/science/article/pii/S0747563218302905

Journal 2019 DOI: 10.1016/j.chb.2018.06.013

N. R. Aljohani, A. Daud, R. A. Abbasi, J. S. Alowibdi, M. Basheri, and M. A. Aslam, "An integrated framework for course adapted student learning analytics dashboard," Computers in Human Behavior, vol. 92, pp. 679-690, 2019. http://www.sciencedirect.com/science/article/pii/S0747563218301407

Journal 2019 DOI: 10.1016/j.chb.2018.03.035

N. R. Aljohani, R. A. Abbasi, F. M. Bawakid, F. Saleem, Z. Ullah, A. Daud, M. A. Aslam, J. S. Alowibdi, and S.-U. Hassan, "Web Observatory Insights: Past, Current, and Future," International Journal on Semantic Web and Information Systems (IJSWIS), vol. 15, no. 4, pp. 52-68, 2019. https://www.igi-global.com/gateway/article/240235

Journal 2019 DOI: 10.4018/IJSWIS.2019100104

S. Arafat, N. Aljohani, R. Abbasi, A. Hussain, and M. Lytras, "Connections between e-learning, web science, cognitive computation and social sensing, and their relevance to learning analytics: A preliminary study," Computers in Human Behavior, vol. 92, pp. 478-486, 2019. http://www.sciencedirect.com/science/article/pii/S0747563218300840

Journal 2019 DOI: 10.1016/j.chb.2018.02.026

Z. Saeed, R. A. Abbasi, I. Razzak, and G. Xu, "Event detection in twitter stream using weighted dynamic heartbeat graph approach," IEEE Computational Intelligence Magazine, vol. 14, no. 3, pp. 29-38, Aug 2019. https://ieeexplore.ieee.org/document/8764659

Journal 2019 DOI: 10.1109/MCI.2019.2919395

Z. Saeed, R. A. Abbasi, I. Razzak, O. Maqbool, A. Sadaf, and G. Xu, "Enhanced heartbeat graph for emerging event detection on twitter using time series networks," Expert Systems with Applications, vol. 136, pp. 115-132, 2019. http://www.sciencedirect.com/science/article/pii/S0957417419304051

Journal 2019 DOI: 10.1016/j.eswa.2019.06.005

Z. Saeed, R. A. Abbasi, O. Maqbool, A. Sadaf, I. Razzak, A. Daud, N. R. Aljohani, and G. Xu, "What's happening around the world? A survey and framework on event detection techniques on twitter," Journal of Grid Computing, vol. 17, no. 2, pp. 279-312, May 2019. https://link.springer.com/article/10.1007%2Fs10723-019-09482-2

Journal 2019 DOI: 10.1007/s10723-019-09482-2

A. Daud, A. Hussain, R. A. Abbasi, N. R. Aljohani, T. Amjad, and H. Dawood, "Region-wise Ranking of Sports Players Based on Link Fusion," in Companion Proceedings of the The Web Conference 2018, ser. WWW '18. Republic and Canton of Geneva, Switzerland: International World Wide Web Conferences Steering Committee, 2018, pp. 259-266. https://dl.acm.org/doi/10.1145/3184558.3186335

Conference 2018 DOI: 10.1145/3184558.3186335

F. Imran, R. A. Abbasi, M. A. Sindhu, A. S. Khattak, A. Daud, and T. Amjad, "Finding research areas of academicians using clique percolation," in 14th International Conference on Emerging Technologies (ICET), Nov 2018, pp. 1-6. https://ieeexplore.ieee.org/document/8603549/

Conference 2018 DOI: 10.1109/ICET.2018.8603549

T. Amjad, A. Daud, S. Khan, R. A. Abbasi, and F. Imran, "Prediction of rising stars from pakistani research communities," in 14th International Conference on Emerging Technologies (ICET), Nov 2018, pp. 1-6. https://ieeexplore.ieee.org/document/8603661

Conference 2018 DOI: 10.1109/ICET.2018.8603661

Z. Saeed, R. A. Abbasi, A. Sadaf, M. I. Razzak, and G. Xu, "Text Stream to Temporal Network - A Dynamic Heartbeat Graph to Detect Emerging Events on Twitter," in Advances in Knowledge Discovery and Data Mining, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2018, D. Phung, V. S. Tseng, G. I. Webb, B. Ho, M. Ganji, and L. Rashidi, Eds. Cham: Springer International Publishing, 2018, pp. 534-545. https://link.springer.com/chapter/10.1007/978-3-319-93037-4_42

Conference 2018 DOI: 10.1007/978-3-319-93037-4_42

A. Daud, J. A. Khan, J. A. Nasir, R. A. Abbasi, N. R. Aljohani, and J. S. Alowibdi, "Latent Dirichlet Allocation and POS Tags Based Method for External Plagiarism Detection: LDA and POS Tags Based Plagiarism Detection," International Journal on Semantic Web and Information Systems (IJSWIS), vol. 14, no. 3, pp. 53-69, 2018. https://www.igi-global.com/gateway/article/206253

Journal 2018 DOI: 10.4018/IJSWIS.2018070103

A. Said, R. A. Abbasi, O. Maqbool, A. Daud, and N. R. Aljohani, "CC-GA: A clustering coefficient based genetic algorithm for detecting communities in social networks," Applied Soft Computing, vol. 63, pp. 59-70, 2018. http://www.sciencedirect.com/science/article/pii/S1568494617306774

Journal 2018 DOI: 10.1016/j.asoc.2017.11.014

R. A. Abbasi, O. Maqbool, M. Mushtaq, N. R. Aljohani, A. Daud, J. S. Alowibdi, and B. Shahzad, "Saving lives using social media: Analysis of the role of twitter for personal blood donation requests and dissemination," Telematics and Informatics, vol. 35, no. 4, pp. 892-912, 2018. http://www.sciencedirect.com/science/article/pii/S0736585316303835

Journal 2018 DOI: 10.1016/j.tele.2017.01.010

A. Daud, N. R. Aljohani, R. A. Abbasi, M. D. Lytras, F. Abbas, and J. S. Alowibdi, "Predicting Student Performance Using Advanced Learning Analytics," in Proceedings of the 26th International Conference on World Wide Web Companion, ser. WWW '17 Companion. Republic and Canton of Geneva, Switzerland: International World Wide Web Conferences Steering Committee, 2017, pp. 415-421. https://dl.acm.org/doi/10.1145/3041021.3054164

Conference 2017 DOI: 10.1145/3041021.3054164

A. Daud, N. R. Aljohani, R. A. Abbasi, Z. Rafique, T. Amjad, H. Dawood, and K. H. Alyoubi, "Finding Rising Stars in Co-Author Networks via Weighted Mutual Influence," in Proceedings of the 26th International Conference on World Wide Web Companion, ser. WWW '17 Companion. Republic and Canton of Geneva, Switzerland: International World Wide Web Conferences Steering Committee, 2017, pp. 33-41. https://dl.acm.org/doi/10.1145/3041021.3054137

Conference 2017 DOI: 10.1145/3041021.3054137

M. A. Aslam, N. R. Aljohani, R. A. Abbasi, M. D. Lytras, and M. A. Kabir, "A Generic Framework for Adding Semantics to Digital Libraries," in On the Move to Meaningful Internet Systems: OTM 2016 Workshops: Confederated International Workshops: EI2N, FBM, ICSP, Meta4eS, and OTMA 2016, Rhodes, Greece, October 24-28, 2016, Revised Selected Papers, I. Ciuciu, C. Debruyne, H. Panetto, G. Weichhart, P. Bollen, A. Fensel, and M.-E. Vidal, Eds. Cham: Springer International Publishing, 2017, pp. 277-281. https://link.springer.com/chapter/10.1007/978-3-319-55961-2_28

Conference 2017 DOI: 10.1007/978-3-319-55961-2_28

A. Daud, W. Ahmed, T. Amjad, J. A. Nasir, N. R. Aljohani, R. A. Abbasi, and I. Ahmad, "Who will cite you back? Reciprocal link prediction in citation networks," Library Hi Tech, vol. 35, no. 4, pp. 509-520, 2017. https://www.emerald.com/insight/content/doi/10.1108/LHT-02-2017-0044/full/html

Journal 2017 DOI: 10.1108/LHT-02-2017-0044

H. U. Khan, A. Daud, U. Ishfaq, T. Amjad, N. Aljohani, R. A. Abbasi, and J. S. Alowibdi, "Modelling to identify influential bloggers in the blogosphere: A survey," Computers in Human Behavior, vol. 68, pp. 64-82, 2017. http://www.sciencedirect.com/science/article/pii/S0747563216307531%20

Journal 2017 DOI: 10.1016/j.chb.2016.11.012

J.-R. Cano, N. R. Aljohani, R. A. Abbasi, J. S. Alowidbi, and S. Garcia, "Prototype selection to improve monotonic nearest neighbor," Engineering Applications of Artificial Intelligence, vol. 60, pp. 128-135, 2017. http://www.sciencedirect.com/science/article/pii/S0952197617300295

Journal 2017 DOI: 10.1016/j.engappai.2017.02.006

M. A. Jarwar, R. A. Abbasi, M. Mushtaq, O. Maqbool, N. R. Aljohani, A. Daud, J. S. Alowibdi, J. Cano, S. Garcia, and I. Chong, "CommuniMents: A Framework for Detecting Community Based Sentiments for Events," International Journal on Semantic Web and Information Systems (IJSWIS), vol. 13, no. 2, pp. 87-108, 2017. https://www.igi-global.com/gateway/article/176735

Journal 2017 DOI: 10.4018/IJSWIS.2017040106

M. A. Masood, R. A. Abbasi, O. Maqbool, M. Mushtaq, N. R. Aljohani, A. Daud, M. A. Aslam, and J. S. Alowibdi, "MFS-LDA: a multi-feature space tag recommendation model for cold start problem," Program, vol. 51, no. 3, pp. 218-234, 2017. https://www.emerald.com/insight/content/doi/10.1108/PROG-01-2017-0002/full/html

Journal 2017 DOI: 10.1108/PROG-01-2017-0002

M. F. K. Minhas, R. A. Abbasi, N. R. Aljohani, A. A. Albeshri, and M. Mushtaq, "INTWEEMS: A Framework for Incremental Clustering of Tweet Streams," in Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services, ser. iiWAS '15. New York, NY, USA: ACM, 2015, pp. 87:1-87:4. https://dl.acm.org/doi/10.1145/2837185.2843853

Conference 2015 DOI: 10.1145/2837185.2843853

J. Kanwal, O. Maqbool, R. Abbasi, and A. Q. Abbasi, "Network analysis of software change history for understanding software evolution," in 17th IEEE International Multi Topic Conference 2014, Dec 2014, pp. 229-234. https://ieeexplore.ieee.org/document/7097342/

Conference 2014 DOI: 10.1109/INMIC.2014.7097342

A. Razzaq and R. Abbasi, "Automated separation of crosscutting concerns: Earlier Automated identification and modularization of cross-cutting features at analysis phase," in 2012 15th International Multitopic Conference (INMIC), Dec 2012, pp. 471-478. https://ieeexplore.ieee.org/document/6511500

Conference 2012 DOI: 10.1109/INMIC.2012.6511500

R. Abbasi, "Query Expansion in Folksonomies," in Semantic Multimedia, T. Declerck, M. Granitzer, M. Grzegorzek, M. Romanelli, S. Rueger, and M. Sintek, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp. 1-16. https://link.springer.com/chapter/10.1007/978-3-642-23017-2_1

Conference 2011 DOI: 10.1007/978-3-642-23017-2_1

R. Abbasi and S. Staab, "RichVSM: EnRiched Vector Space Models for Folksonomies," in Proceedings of the 20th ACM Conference on Hypertext and Hypermedia, ser. HT '09. New York, NY, USA: ACM, 2009, pp. 219-228. https://dl.acm.org/doi/10.1145/1557914.1557952

Conference 2009 DOI: 10.1145/1557914.1557952

R. Abbasi, M. Grzegorzek, and S. Staab, "Large Scale Tag Recommendation Using Different Image Representations," in Semantic Multimedia, T.-S. Chua, Y. Kompatsiaris, B. Merialdo, W. Haas, G. Thallinger, and W. Bailer, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009, pp. 65-76. https://link.springer.com/chapter/10.1007/978-3-642-10543-2_8

Conference 2009 DOI: 10.1007/978-3-642-10543-2_8

R. Abbasi, S. Chernov, W. Nejdl, R. Paiu, and S. Staab, "Exploiting Flickr Tags and Groups for Finding Landmark Photos," European Conference on Information Retrieval (ECIR), in Advances in Information Retrieval, M. Boughanem, C. Berrut, J. Mothe, and C. Soule-Dupuy, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009, pp. 654-661. https://link.springer.com/chapter/10.1007/978-3-642-00958-7_62

Conference 2009 DOI: 10.1007/978-3-642-00958-7_62

R. Abbasi and S. Staab, "Introducing Triple Play for Improved Resource Retrieval in Collaborative Tagging Systems," in Proceedings of Exploiting Semantic Annotations in Information Retrieval, workshop at European Conference on Information Retrieval, March 2008. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.156.3634

Workshop 2008 DOI: 10.1.1.156.3634

R. Abbasi, S. Staab, and P. Cimiano, "Organizing Resources on Tagging Systems using T-ORG," in Proceedings of Workshop on Bridging the Gap between Semantic Web and Web 2.0 at European Semantic Web Conference 2007, Innsbruck, Austria, June 2007, pp. 97-110. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.175.1506

Workshop 2007 DOI: 10.1.1.175.1506

Chairperson, Board of Studies, Department of Computer Science, 2022 - 2024
Chairperson, Department of Computer Science, Quaid-i-Azam University, 2022 - 2024
Chairperson, Purchase Committee, Quaid-i-Azam University, 2022 - 2024
Focal Person for plagiarism related issues at Quaid-i-Azam University, 2020 - 2022
Head of departmental projects committee, 2013 - 2014
Invited expert in PhD symposium at International Conference on Frontiers of Information Technology (FIT 2015), Islamabad, Pakistan
Invited talk "Research is Social Computing" for Faculty Development Program at Department of Engineering, National University of Modern Languages, Islamabad, Pakistan, 2019
Invited talk "Research Trends in Social Computing for Data Analysis", in symposium "How data can help in reshaping academic, social, and economic practices" organized by Virtual University, Pakistan, June 19, 2020
Invited talk "Social Media Mining: A hands-on experience", for Faculty Development Programme at NUML University, Dec 14, 2020
Invited talk at the plenary session: "Transdisciplinary Approach in Digital Media Ecologies for the Challenges Faced by Humanity", at "FJWU-AMCAP International Media Conference 2021" organized by Association of Media and Communication Academic Professionals (AMCAP) and Fatima Jinnah Women University, (FJWU), Rawalpindi, Pakistan, February 17, 2021
Invited talk for the researchers of Department of Defense and Strategic Studies, "Introduction to Social Media Mining", Quaid-i-Azam University, Islamabad, Pakistan, January 12, 2022
Invited talk for the training session in workshop "Python for Social Scientists 2023", PIDE, Islamabad, February 13-15, 2023
Local arrangements chair, International Conference on Emerging Technologies (ICET) 2018, Pakistan
Member Board of Studies, Virtual University, Pakistan, 2024 - Present
Member departmental admission committees for BS, MS, MPhil, and PhD Quaid-i-Azam University, 2011 - present
Member NCEAC accredited team, 2022 - present
Member of committee for defining rules for colleges affiliated with Quaid-i-Azam University, 2022
Member of expert panel in PhD Symposium at Mohammad Ali Jinnah University on 13th December, 2014
Member of HEC accreditation/inspection committee, 2022
Session chair at the International Conference on Computing Research (ICCoR 24), October 26, 2024, Islamabad, Pakistan
Session chair for the plenary session "Innovations and Advancements in Artificial Intelligence" at 3rd International Multidisciplinary Conference, October 3, 2024, Rawalpindi, Pakistan
Session chair for the session "Graph Mining II" at the 20th International Conference Advanced Data Mining and Applications (ADMA 24), December 3-5, 2024, Macquarie University, Sydney, Australia
Subject specialist for FPSC interviews, 2022, 2024
Total: 88 students
Program:
Status:
Irfan ul Haq Qureshi

PhD - Under Supervision

Ongoing Research

2023 - 2028
Memoona Afsheen Malik

PhD - Under Supervision

Ongoing Research

2019 - 2027
Dr. Muhammad Ali Masood

PhD - Graduated

Identifying Rebel Twitter Users using Semi-Supervised Machine Learning

2014 - 2021
Dr. Zafar Saeed

PhD - Graduated

Detecting Unspecified Events on Twitter

2013 - 2020
Muhammad Husnain

MSc - Graduated

Cryptocurrency Price Predictions project

2021 - 2022
Shafaq Sabeen

MSc - Graduated

COVID-19 Detection using X-Ray Images

2021 - 2022
Farman Ullah

MSc - Graduated

Expense Manager for Real Estate Developers

2020 - 2021
Muhammad Aleem Siddique

MSc - Graduated

Stock Market Prediction System

2020 - 2021
Nishat Ahmad

MSc - Graduated

A Web Application for Machine learning on Social Media

2020 - 2021
Saman Komal

MSc - Graduated

Intelligent Financial Advisor

2020 - 2021
Muhammad Shahzad

MSc - Graduated

Gone days: A Game Developed in Unity 3D

2019 - 2020
Anita Ishaq

MSc - Graduated

Kids Math: A Math Learning Game for Kids

2018 - 2019
Rimsha Iqbal

MSc - Graduated

Aftermath of bribery: A game to address the issue of bribery

2018 - 2019
Sadia Parveen

MSc - Graduated

Zero to Hero: A game for addressing the issue of unemployment

2018 - 2019
Warda Zulfiqar

MSc - Graduated

Markhor: A Spy Hunting Game Developed in Unity 3D

2018 - 2019
Sabeen Sadaf

MSc - Graduated

A Social Network Extraction and Analysis Tool for Twitter

2015 - 2016
Asma Riaz

MSc - Graduated

Distributed Tweets Crawler and Analyzer

2014 - 2015
Ijaz Muhammad

MSc - Graduated

Android Based Activity Logger

2014 - 2015
Iqra Tallat

MSc - Graduated

An Intelligent Video Surveillance System

2014 - 2015
Kanza Hamid

MSc - Graduated

Tweets in Social Media Perspective

2014 - 2015
Khushbakht Iqtidar

MSc - Graduated

A 2D Physics based Game

2014 - 2015
Memoona Bibi

MSc - Graduated

Interactive Game for Learning English

2014 - 2015
Mubashar

MSc - Graduated

An Android App for Eastern Musical Instruments

2014 - 2015
Omar Aslam

MSc - Graduated

A Virtual Reality Tool for Selecting Dresses through Gestures

2014 - 2015
Muhammad Usman

MSc - Graduated

A Flock of Birds Game using a Verlet Physics Engine

2013 - 2014
Muneeb Ur Rahman

MSc - Graduated

Flickr Synchronization Tool for Local File Sytem

2013 - 2014
Rizwan Fazal

MSc - Graduated

A Game for Improving Mathematical Skills of Children

2013 - 2014
Sadam Hussain

MSc - Graduated

Dengue Awareness Game for Desktop and Android Platforms

2013 - 2014
Muhammad Umer

MSc - Graduated

A Hybrid Fuel Logging System for Android based Smart Phones

2012 - 2013
Muhammad Zeeshan Aslam

MSc - Graduated

Traffic Jam Notification System for Smart Phone Users

2012 - 2013
Muhammad Zubair

MSc - Graduated

Comparing Wikipedia Articles using Formal Concept Analysis

2012 - 2013
Muhmmad Adeel Nawaz

MSc - Graduated

Location based Reminder System for Android

2012 - 2013
Tayyaba Shabbir

MSc - Graduated

Socio Tourism (A social media based tourism website)

2012 - 2013
Zeeshan Ali

MSc - Graduated

An Intelligent SMS Greeter for Android based Smart Phones

2012 - 2013
Khalid Mehmood

MSc - Graduated

Visualization of Electoral Results on Google Maps

2011 - 2012
Muhammad Farooq

MSc - Graduated

OPAS: Online Property Advertisement System

2011 - 2012
Amina Asif

MSc - Graduated

Content Based Image Retrieval System for Social Media

2010 - 2011
Muhammad Adeel Ramzan

MSc - Graduated

Pak Web 2.0 (A social media perspective of Pakistan)

2010 - 2011
Sundas Munir

MSc - Graduated

FolkDroid System: A Search Interface to Folksonomies for Android based Smart Phones

2010 - 2011
Faiza Rasheed

MS - Graduated

Detecting Conspiracies on Twitter About COVID-19 Using Deep Learning Techniques

2021 - 2022
Adeel Javed

MS - Graduated

Using Network Science To Gain Insights Into Scientific Literature

2020 - 2021
Bashayer Alotaibi

MS - Graduated

Using Twitter to Analyze Initiatives of a Startup Company: The Case of Empowering Women in CAREEM

2019 - 2020
Bodor Almotairy

MS - Graduated

Detecting Entrepreneurial Influencers for Information Diffusion on Social Media

2019 - 2020
Zubaida Abulaziz Jastania

MS - Graduated

A Framework for Analyzing Public Discussion on Twitter

2019 - 2020
Manahil Abdulmoin Alqulaity

MS - Graduated

Analyzing the Role of Twitter as Electronic Word of Mouth for Health-care Needs in Saudi Arabia

2017 - 2018
Sahar Saad Alqahtani

MS - Graduated

Analyzing the Public Interaction of Saudi Universities on Twitter

2017 - 2018
Faisal Imran

MS - Graduated

Discovering Expert Groups in Pakistan Research Community

2015 - 2016
Aslam Jarwar

MS - Graduated

A Framework for Detecting Event related Sentiments of a Community

2014 - 2015
Farid Minhas

MS - Graduated

Clustering and Presenting Twitter Streams

2013 - 2014
Abbas Ahmad

MPhil - Graduated

Incremental Learning in Relational Deep Learning

2023 - 2025
Ahsan Aziz

MPhil - Graduated

Enhanced Document Classification using Graph Transformers

2023 - 2024
Fatima Ejaz

MPhil - Graduated

Using Deep Learning To Extract Keywords From Scientific Documents

2023 - 2025
Atta Ullah

MPhil - Graduated

Identifying Misinformation Spreaders on Twitter using Ego-Centric Network Embeddings

2022 - 2023
Abdul Wahab

MPhil - Graduated

Gaining insights into the #Sialkot incident using network science

2021 - 2022
Irfan ul Haq Qureshi

MPhil - Graduated

2021 - 2022
Ayesha Tariq

MPhil - Graduated

Predicting the popularity of a research article on Twitter

2020 - 2021
Kamal Hussain

MPhil - Graduated

Abusive Tweets Detection Using Supervised Learning With Contextual Features

2020 - 2021
Muhammad Obaid Ullah

MPhil - Graduated

Using Network Science to Understand the Level of Education in Backward Areas of Pakistan

2020 - 2021
Sajjad Athar

MPhil - Graduated

Node Representation Learning in Bipartite Graphs

2020 - 2021
Sahrish Altaf

MPhil - Graduated

Using Machine Learning to Predict the Targets of Hate Speech on Social Media

2019 - 2020
Anwar Saeed

MPhil - Graduated

Discovering Community Structure of Complex Networks using Genetic Algorithms

2015 - 2016
Farrah Haneef

MPhil - Graduated

A Career Selection Model based on Social Network Analysis

2015 - 2016
Hajra Ali

MPhil - Graduated

Analysis and Classification of Traffic Events on Social Media

2015 - 2016
Muniba Firdous

MPhil - Graduated

Exploring Homoeopathic System of Medicine Using Network Science

2015 - 2016
Abdul Rehman Janjua

MPhil - Graduated

Analysis of Social Media Presence of Pakistani Politicians

2014 - 2015
Zahid Younas

MPhil - Graduated

Integrating Multimodal Features for Automatic Image Annotation

2014 - 2015
Abdul Razzaq

MPhil - Graduated

Automated Separation of Cross Cutting Concerns

2012 - 2013
M. Ali Masood

MPhil - Graduated

Multi Feature Space LDA (MFS-LDA) for Tag Recommendation in Cold Start Problem

2012 - 2013
Muhammad Ahmad

BS - Graduated

Smart Journey Planner Mobile Application

2023 - 2024
Sameer Khan

BS - Graduated

Stock Price Prediction using Machine Learning

2023 - 2024
Saud Ahmad Basra

BS - Graduated

Scholarship Management System

2023 - 2025
Abdul Rehman

BS - Graduated

Classifying Text-Based Conspiracy Tweets Related to COVID-19

2022 - 2023
Muhammad Usman

BS - Graduated

Online Quaid-I-Azam University Bus Tracking System

2022 - 2023
Nasir Hussain

BS - Graduated

Smart Parking Monitoring System

2022 - 2023
Abdul Majeed

BS - Graduated

Asaan Dukan: Online Retail Store Mobile Application

2021 - 2022
Muhammad Arslan Javed

BS - Graduated

Intelligent Course Allocation: Flutter Based Mobile Application

2021 - 2022
Ali Hamza

BS - Graduated

Guidify: A guide for adopting good habits and quitting bad habits

2020 - 2021
Farwa Nadeem

BS - Graduated

Web Application for Department of Computer Science using React and Node

2020 - 2021
Ghulam Farid

BS - Graduated

Grievance Detection System

2020 - 2021
Ibrar Younas

BS - Graduated

Stress Relief Application

2020 - 2021
Khuzama Muqeem

BS - Graduated

General Purpose Social Media Analytics Tool

2020 - 2021
Ahsan Sheraz

BS - Graduated

EDS: Event Detection System for Twitter

2018 - 2019
Abdulrahman Sumaydaee and Abdullah Almalki

BS - Graduated

Twitter Analytics Dashboard

2017 - 2018
Ahmad Mohsen Alamoudi and Mohammad Saleh Alharbi

BS - Graduated

Social Network Analyzer for Discussions on Twitter

2017 - 2018
Amjad Dahlawi and Ali Almalki

BS - Graduated

Analyzing Performance of Saudi Universities on Twitter

2017 - 2018
Abdullah Barayan and Abdulaziz Bagour

BS - Graduated

Web App for Diet Center

2016 - 2017
Faissal Al-Ghamdi and Ahmad Al-Juhani

BS - Graduated

Intelligent Parking Management System

2016 - 2017
Yassser Alharbi and Ahmad Alharbi

BS - Graduated

Online Booking System for Football Stadiums

2016 - 2017