Dr. Zafar Saeed
Assistant Professor
Ext: 133
Dr. Zafar Saeed is an Assistant Professor in the Faculty of Information Technology, University and Central Punjab, Lahore, Pakistan. He has more than ten years of working experience as Teaching Faculty, Research Associate, and Software Engineer. Dr. Zafar received his Ph.D. and M.Phil. degrees from Quaid-i-Azam University, Islamabad, Pakistan. He has over four years of industry experience at national and international organizations performing hands-on tasks under Software Development, Project Management, Academic Research, and Social Development roles. He has one year of working experience with Data Science and Machine Intelligence (DSMI) Research Lab at Advanced Analytical Institute (AAI), University of Technology Sydney (UTS), Australia, where he was actively involved in research, teaching, and development activities. Dr. Zafar’s research interest includes Social Computing, particularly Social Network analysis, Social Media Analytics, Spammer & Bot Detection, Information Diffusion, Event Detection, Event Evolution, Text Mining, and Machine Learning. His research work has been published in highly reputed journals and conferences such as ESWA, CIM, JOGC, ECIR, and PAKDD.
| Ph.D. | Computer Science | Quaid-i-Azam University, Islamabad, Pakistan | 2020 |
| M.Phil | Computer Science | Quaid-i-Azam University, Islamabad, Pakistan | 2010 |
| BS | Computer Science | Balochistan University of Information Technology and Management Sciences | 2007 |
| Assistant Professor | University of Central Punjab, Lahore, Pakistan | Present |
| Lecturer (Visiting) | Quaid-i-Azam Unviersity, Islamabad, Pakistan | 2009-2011, 2018-2019 |
| Casual Academic | University of Technology Sydney, Australia | 2018-2018 |
| Researcher/Software Developer | University of Technology Sydney, Australia | 2017-2018 |
| Lecturer (Visiting) | PMAS-Arid Agriculture University, Rawalpindi, Pakistan | 2010-2010, 2013-2015 |
| Lecturer (Visiting) | Federal Urdu University of Science Arts and Technology, Islamabad, Pakistan | 2012-2013 |
| Lecturer | University of Central Punjab, Lahore, Pakistan | 2012-2012 |
| Software Engineer | Diyatech, Islamabad, Pakistan | 2012-2012 |
| Software Engineer | M-Net IT Solutions, Islamabad, Pakistan | 2010-2012 |
| Project Developer | BUITMS, Quetta, Pakistan | 2006-2007 |
| 1 | Farooq G., Iqbal Z., Saeed Z. et al, (2020). A Dynamic Three-Bit Image Steganography Algorithm for Medical and e-Healthcare Systems, IEEE Access, 8:181893-181903. (IF 3.745, SJR: Q1) (online) h-ref: https://ieeexplore.ieee.org/document/9211478 |
| 2 | Z Saeed, R.A Abbasi, I Razzak. EveSense: What can you sense from Twitter?. In: Jose J. et al. (eds) Advances in Information Retrieval. ECIR 2020. Lecture Notes in Computer Science, vol 12036. Springer, Cham. (Core Rank: A) (online) h-ref: https://link.springer.com/chapter/10.1007/978-3-030-45442-5_64 |
| 3 | Saeed, Z., Abbasi, R. A., Razzak, M. I., and Xu, G. (2019). Event detection in Twitter stream using weighted dynamic heartbeat graph approach, IEEE Computational Intelligence Magazine, 14(3):29-38. (IF: 9.083, SJR: Q1) (online) h-ref: https://ieeexplore.ieee.org/document/8764659 |
| 4 | Saeed, Z., Abbasi, R. A., Razzak, M. I., Maqbool, O., Sadaf, A., and Xu, G. (2019). Enhanced Heartbeat Graph for emerging event detection on Twitter using time series networks, Expert Systems with Applications, 136:115-132. (IF: 5.452, SJR: Q1) (online) h-ref: https://www.sciencedirect.com/science/article/pii/S0957417419304051 |
| 5 | Saeed, Z., Abbasi, R. A., Maqbool, Sadaf, A., Razzak, I., Ali, D., Aljo-hani, N. R., and Xu, G. (2019). What’s happening around the world? A Survey and Framework on event detection techniques on Twitter, Journal of Grid Computing, 17(2):279-312. (IF: 2.095, SJR: Q1) (online) h-ref: https://link.springer.com/article/10.1007/s10723-019-09482-2 |
| 6 | Saeed, Z., Abbasi, R. A., Sadaf, A., Razzak, M. I., and Xu, G. (2018). Text stream to temporal network - A dynamic heartbeat graph to detect emerging events on Twitter. In Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference (PAKDD 2018), Melbourne, Australia, June 3-6, Lecture Notes in Computer Science, vol 10938. Springer, Cham. (Core Rank: A) (online) h-ref: https://link.springer.com/chapter/10.1007/978-3-319-93037-4_42 |
| 7 | Seemab, U., ul Ain, Q., Nawaz, M. S., Saeed, Z., & Rashid, S. (2012). TrFAST: A Tool to Predict Signaling Pathway-specific Transcription Factor Binding Sites. Genomics, proteomics & bioinformatics, 10(6), 354-359. (IF: 6.6, SJR: Q1) (online) h-ref: https://www.sciencedirect.com/science/article/pii/S1672022912000939 |
| 8 | Saeed Z., Sadaf A., Siraj M. Activity Based Correlation of Documents using Association Rule Mining, 7th IEEE International Conference on Emerging Technologies (ICET 2011), Islamabad, Pakistan pp 1-7 (online) h-ref: https://ieeexplore.ieee.org/document/6048448/ |
| 9 | Fazal M.A., Sam F., Andrew J., Saeed Z. (2020). Investigating cognitive workload in concurrent speech-based information communication, Int. Journal of Human-Computer Studies (IF: 3.163, SJR: Q1) [In-revision] |
| 10 | Hussain K., Abbasi R.A., Saeed Z. (2021). Abusive Tweets Detection using Supervised Learning with Contextual Features, Expert Systems with Applications. (IF: 5.452, SJR: Q1) [Under Review] |
| 11 | Fazal M.A., Sam F., Andrew J., Saeed Z. (2021). A Gender-based Performance Comparison in Concurrent Speech-based information Communication, User Modeling and User-Adapted Interaction. (IF: 4.682, SJR: Q1) [Under Review] |
