CONTACT INFO

6th Floor,

Arfa Software Technology Park, Lahore

P (042) - 111-111-ITU (488)

Dr. Saeed UL Hassan
Associate Professor and Chairperson, Department of Computer Science
PhD - Asian Institute of Technology, Thailand
RESEARCH INTERESTS

AI for Social Good, Applied Machine Learning, Scientometrics, Altmetrics, Educational Data Science

biography

Dr. Saeed Ul Hassan is the Director of AI Lab and a faculty member at Information Technology University (ITU), a former Post-Doctorate Fellow at the United Nations University – with more than 15 years of hands-on experience in AI, Machine Learning, and Software Development client work. He earned his Ph.D. in the field of Information Management from the Asian Institute of Technology, Thailand. He has also served as a Research Fellow at the National Institute of Informatics in Japan.

Dr. Saeed’s research interests lie within the areas of Data Science, Machine Learning, Contextual Scientometrics, Altmetrics Bibliometric Tools for Evidence-based Research Policy Formulation, Information Retrieval, and Text Mining. He has published more than 50 papers in reputed international journals and conference proceedings including highly reputed venues like TKDE, WWW, JCDL, Journal of Infometrics, and Scientometrics. Dr. Saeed is also the recipient of the James A. Linen III Memorial Award in recognition of his outstanding academic performance. More recently, he has been awarded Eugene Garfield Honorable Mention Award for Innovation in Citation Analysis by Clarivate Analytics, Thomson Reuters.

Dr. Saeed is a lifetime volunteer of Pakistan Hemophilia Patient’s Welfare Society and technical lead of the National Patient Registry of people with a bleeding disorder in Pakistan.

Journal Articles
  1. Salman Ahmed, Saeed-Ul Hassan, NR Aljohani, R Nawaz, FLF-LSTM: A Novel Prediction System using Forex Loss Function, Applied Soft Compuing in press, 2020. (SNIP: 520, SJR: 1.405, Impact Factor: 5.402, Percentile in Scopus: 93%)
  2. Saeed-Ul Hassan, Naif Radi Aljohani, Nimra Idrees, Raheem Sarwar, Raheel Nawaz, Eugenio Martínez-Cámara, Sebastián Venturae, Francisco Herrera, Predicting literature’s early impact with sentiment analysis in Twitter, Knowledge-based System (in press), 2020. (SNIP: 902, SJR: 1.754, Impact Factor: 5.921, Percentile in Scopus: 97%)
  3. Saeed-Ul Hassan, M Shabbir, S Iqbal, A Said, F Kamiran, R Nawaz, U Saif, Leveraging Deep Learning and SNA approaches for Smart City Policing in the Developing World, International Journal of Information Management, in press, 2020. (SNIP: 3.225, SJR: 1.711, Impact Factor: 5. 063, Percentile in Scopus: 99%)
  4. Saeed-Ul Hassan, S Iqbal, NR Aljohani, S Alelyani, A Zuccala, Introducing the ‘alt-index’ for measuring the social visibility of scientific research, Scientometrics, vol. 123, 1407–1419; Springer, 2020. (SNIP: 1.439, SJR: 1.95, Impact Factor: 2.770, Percentile in Scopus: 94%)
  5. D Drongstrup, S Malik, NR Aljohani, S Alelyani, I Safder, Saeed-Ul Hassan, Can Social Media Usage of Scientific Literature Predict Journal Indices of AJG, SNIP and JCR? An Altmetric Study of Economics, Scientometrics, In press; Springer, 2020. (SNIP: 1.439, SJR: 1.95, Impact Factor: 2.770, Percentile in Scopus: 94%)
  6. F Zaman, M Shardlow, Saeed-Ul Hassan, N Aljohani, R Nawaz, HTSS: A Novel Hybrid Text Summarisation and. Simplification Architecture, Information Processing & Management, in press, 2020. (SNIP: 2.895, SJR: 1.043, Impact Factor: 3.892, Percentile in Scopus: 96%)
  7. Hajra Waheed, Saeed-Ul Hassan, Naif Radi Aljohani, Julie Hardman, Raheel Nawaz, Salem Alelyani, Predicting Academic Performance of Students from VLE Big Data using Deep Learning Models, Computers in Human Behavior, 104, 2020. (SNIP: 2.245, SJR: 1.711, Impact Factor: 4.306, Percentile in Scopus: 99%)
  8. Saeed-Ul Hassan, Aneela Saleem, Saira Hanif Soroya, Iqra Safder, Sehrish Iqbal, Saqib Jamil, Aljohani, Naif Radi, Raheel Nawaz, Sentiment analysis of tweets through Altmetrics: A machine learning approach, Journal of Information Science, in press, 2020. (SNIP: 1.581, SJR: 0.636, Impact Factor: 2.327, Percentile in Scopus: 90%)
  9. Saeed-Ul Hassan, Naif R. Aljohani, Mudassir Shabbir, Umair Ali, Sehrish Iqbal, Raheem Sarwar, Eugenio Martínez-Cámara, Sebastián Ventura, Francisco Herrera, Tweet Coupling: A Social Media Methodology for Clustering Scientific Publications, Scientometrics, in press; Springer, 2020. (SNIP: 1.439, SJR: 1.95, Impact Factor: 2.770, Percentile in Scopus: 94%)
  10. Zainab Mahmood, Iqra Safder, et al, Saeed-Ul Hassan, Deep Sentiments in Roman Urdu Text using Recurrent Convolutional Neural Network Model, Information Processing & Management, in press, 2020. (SNIP: 2.895, SJR: 1.043, Impact Factor: 3.892, Percentile in Scopus: 96%)
  11. R Sarwar, AT Rutherford, Saeed-Ul Hassan, T Rakthanmanon, S Nutanong, Native Language Identification of Fluent and Advanced Non-Native Writers, ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), (SNIP: 2.895, SJR: 0.26, Impact Factor: 791, Percentile in Scopus: 59%)
  12. I Safder, Saeed-Ul Hassan, A Visvizi, T Noraset, R Nawaz, S Tuarob, Deep Learning-based Extraction of Algorithmic Metadata in Full-Text Scholarly Documents, Information Processing & Management, in press, 2020. (SNIP: 2.895, SJR: 1.043, Impact Factor: 3.892, Percentile in Scopus: 96%)
  13. L Liu, W Li, NR Aljohani, MD Lytras, Saeed-Ul Hassan, R Nawaz, A Framework to Evaluate Interoperability of Information Systems – Measuring Maturity of Business Process Alignment, International Journal of Information Management, in press, 2020. (SNIP: 3.225, SJR: 1.711, Impact Factor: 5.063, Percentile in Scopus: 99%)
  14. NR Aljohani, A Fayoumi, Saeed-Ul Hassan, Bot Prediction on Social Networks of Twitter in Altmetrics using Deep Graph Convolutional Networks, Soft Computing, in press, Springer, 2020. (SNIP: 1.292, SJR: 0.62, Impact Factor: 2.784, Percentile in Scopus: 98%)
  15. Saeed Ul Hassan, H Waheed, NR Aljohani, M Ali, S Ventura, F Herrera, Virtual Learning Environment to Predict Withdrawal by Leveraging Deep Learning, International Journal of Intelligent Systems, vol 34, issue 8, 1935-1952, 2019. (SNIP: 2.027, SJR: 1.3, Impact Factor: 7.229, Percentile in Scopus: 94%)
  16. Noor Arshad, Abu Bakar, Saira Hanif Soroya, Iqra Safder, Sajjad Haider, Saeed-Ul Hassan, Naif Aljohani, Salem Alelyani, Raheel Nawaz, Extracting Scientific Trends by Mining Topics from Call for Papers, Library Hi Tech, 2019 (in press) (SNIP: 1.049, SJR: 0.75, Impact Factor: 1.256, Percentile in Scopus: 82%)
  17. Awais, A. Ahmed, Saeed Ul Hassan, Leveraging Big Data for Politics: Predicting General Election of Pakistan using a Novel Rigged Model, Journal of Ambient Intelligence and Humanized Computing, in press, 2019. (SNIP: 1.128, SJR: 0.35, Impact Factor: 1.910, Percentile in Scopus: 81%)
  18. Saeed Ul Hassan; Bowman, T.; Shabbir M.; Akhter, A.; Imran, M., Aljohani. N., “Influential Tweeters in Relation to Highly Cited Articles in Altmetric Big Data”,Scientometrics, vol. 119, issue 1, 281- 493; Springer, 2019. (SNIP: 1.439, SJR: 1.95, Impact Factor: 2.770, Percentile in Scopus: 94%)
  19. NR Aljohani, A Fayoumi, Saeed-Ul Hassan, Predicting At-risk students using clickstream data in the Virtual Learning Environment, Sustainability, in press, Springer, 2020. (SNIP: 1.169, SJR: 0.549, Impact Factor: 2.592, Percentile in Scopus: 98%)
  20. Suppawong Tuarob, Sung Woo Kang, Poom Wettayakorn, Chanatip Pornprasit, Tanakitti Sachati, Saeed-Ul Hassan, Peter Haddawy, Automatic Classification of Algorithm Citation Functions in Scientific Literature, IEEE Transactions Knowledge and Data Engineering, in press, 2019. (SNIP: 2.954, SJR: 1.14, Impact Factor: 3.857, Percentile in Scopus: 95%)
  21. A Said, TD Bowman, RA Abbasi, NR Aljohani, Saeed Ul Hassan, R Nawaz, Peter Haddawy, Mining Network-Level Properties of Twitter Altmetrics Data, Scientometrics, In press, 2019. (SNIP: 1.439, SJR: 1.95, Impact Factor: 2.770, Percentile in Scopus: 94%)
  22. Saeed-Ul Hassan; Anna V; H. Waheed. The ‘who’ and the ‘what’ in international migration research: data-driven analysis of Scopus-indexed scientific literature, Behavior & Information Technology, in press, 2019. (SNIP: 0.675, SJR: 0.56, Impact Factor: 1.429, Percentile in Scopus: 86%)
  23. I Safder, Saeed-Ul Hassan, Bibliometric-enhanced Information Retrieval: A Novel Deep Feature Engineering Approach for Algorithm Searching from Full-text Publications, Scientometrics, vol. 119, issue 1, 257 – 277; Springer, 2019. (SNIP: 1.439, SJR: 1.95, Impact Factor: 2.770, Percentile in Scopus: 94%)
  24. W Iqbal, J Qadir, G Tyson, AN Mian, Saeed-Ul Hassan, J Crowcroft, A Bibliometric Analysis of Publications in Computer Networking Research, Scientometrics, in press; Springer, 2019. (SNIP: 1.439, SJR: 1.95, Impact Factor: 2.770, Percentile in Scopus: 94%)
  25. Fouad, Ahmed Mahany, Naif Aljohani, Rabeeh Ayaz, Saeed-Ul Hassan, ArWordVec: efficient word embedding models for Arabic tweets, Soft Computing, in press, Springer, 2019. (SNIP: 1.292, SJR: 0.62, Impact Factor: 2.784, Percentile in Scopus: 98%)
  26. Saeed-Ul Hassan, M Imran, S Iqbal, NR Aljohani, R Nawaz, Deep Context of Citations Using Machine-Learning Models in Scholarly Full-text Articles, Scientometrics, vol. 117, issue, 3, 1645-1662 Springer, 2018. (SNIP: 1.439, SJR: 1.95, Impact Factor: 2.770, Percentile in Scopus: 94%)
  27. Waheed, Saeed-Ul Hassan, N. R. Aljohani, M Wasif, A Bibliometric Perspective of Learning Analytics Research Landscape, Behavior & Information Technology, vol. 37, issue 10-11, 941-957; 2018. (SNIP: 0.675, SJR: 0.56, Impact Factor: 1.429, Percentile in Scopus: 86%)
  28. F Sabah, Saeed-Ul Hassan, A Muzzam, S Iqbal, S Soroya, R Sarwar, Scientific Collaboration Networks in Pakistan and their Impact on Institutional Research Performance: A Case Study Based on Scopus Publications, Library Hi Tech, Vol. 37 No. 1, pp. 19-29, 2018. (SNIP: 1.049, SJR: 0.75, Impact Factor: 1.256, Percentile in Scopus: 82%)
  29. Saeed-Ul Hassan, I Safder, A Akram, Kamiran F, A Novel Machine-Learning Approach to Measuring Scientific Knowledge Flows Using Citation Context Analysis, Scientometrics, vol. 116, issue 2, 973–996, Springer, 2018. (SNIP: 1.439, SJR: 1.95, Impact Factor: 2.770, Percentile in Scopus: 94%)
  30. Rabeeh Abbasi, Naif Radi Aljohani, F Bawakid, F Saleem, Z Ullah, Aali Daud, Muhammad Aslam, J Alowibdi, Saeed-Ul Hassan, Web Observatory Insights: Past, Current, and Future, International Journal on Semantic Web and Information Systems, In press. (Impact Factor: 1.833)
  31. Saeed-Ul Hassan, M Imran, U Gillani, NR Aljohani, TD Bowman, “Measuring Social Media Activity of Scientific Literature: An Exhaustive Comparison of Scopus and Novel Altmetrics Big Data”, Scientometrics, vol. 113, issue 2, 1037-1057; Springer, 2017. (SNIP: 1.439, SJR: 1.95, Impact Factor: 2.770, Percentile in Scopus: 94%)
  32. Haddawy, P., Saeed-Ul Hassan, Lee, IB, Craig, A., “Uncovering Fine-Grained Research Excellence: The Global Research Benchmarking System”, Journal of Informetrics, 11, issue 2, 389-406, Elsevier, 2017. (SNIP: 1.815, SJR: 1.952, Impact Factor: 3.879, Percentile in Scopus: 92%)
  33. Bonaccorsi, A., Cicero, T., Haddawy, P., Saeed-Ul Hassan, “The solitude of stars. An analysis of the distributed excellence model of European universities”, Journal of Informetrics, 11, issue 2, 435-454, Elsevier, 2017. (SNIP: 1.815, SJR: 1.952, Impact Factor: 3.879, Percentile in Scopus: 92%)
  34. Bonaccorsi, A., Cicero, T., Haddawy, P., Saeed-Ul Hassan, “Explaining the transatlantic gap in research excellence”, Scientometrics, vol. 110, issue 1, 217-241; Springer, 2017. (SNIP: 1.439, SJR: 1.95, Impact Factor: 2.770, Percentile in Scopus: 94%)
  35. M Qasim, Saeed-Ul Hassan, NR Aljohani, M Lytras, “Human Behavior Analysis in the Production and Consumption of Scientific Knowledge across the Regions: A case study based on publications and citations data indexed in Scopus”, Library Hi Tech, vol. 35 Issue: 4, pp.577-587, Emerald, 2017. (SNIP: 1.049, SJR: 0.75, Impact Factor: 1.256, Percentile in Scopus: 82%)
  36. Haddawy, P., Saeed-Ul Hassan, Asghar, A., Amin, S., “A Comprehensive Examination of the Relation of Three Citation-Based Journal Metrics to Expert Judgment of Journal Quality”, Journal of Informetrics: vol. 10, issue 1, 162-173, Elsevier, 2016. (SNIP: 1.815, SJR: 1.952, Impact Factor: 3.879, Percentile in Scopus: 92%)
  37. Saeed-Ul Hassan, R. Sarwar “Tapping into Intra and Int’l Collaborations of OIC States across Science and Technology (S&T) Disciplines”, Science and Public Policy: vol. 43, issue 5, 690-701; Oxford Journals, 2015. (SNIP: 0.753, SJR: 0.7, Impact Factor: 1.575, Percentile in Scopus: 73%)
  38. Sarwar, Saeed-Ul Hassan, “A bibliometric assessment of scientific productivity and international collaboration of the Islamic World in science and technology (S&T) areas”, Scientometrics: vol. 105, issue 2, 1059–1077; Springer, 2015. (SNIP: 1.439, SJR: 1.95, Impact Factor: 2.770, Percentile in Scopus: 94%)
  39. Saeed-Ul Hassan, and P. Haddawy, “Analyzing Knowledge Flows of Scientific Literature through Semantic Links: A Case Study in the Field of Energy”, Scientometrics: vol. 103, issue 1, 33-46; Springer, 2015. (SNIP: 1.439, SJR: 1.95, Impact Factor: 2.770, Percentile in Scopus: 94%)
  40. Ibrar Hussain, Ling Chen, Hamid Turab Mirza, Gencai Chen, Saeed-Ul Hassan, “Right mix of speech and non-speech: hybrid auditory feedback in mobility assistance of the visually impaired”, Universal Access in the Information Society: vol. 14, issue 4, 527–536; Springer, 2015. (SNIP: 1.380, SJR: 0.35, Impact Factor: 0.92, Percentile in Scopus: 63%)
  41. J Zhu, Saeed-Ul Hassan, HT Mirza, Q Xie, “Measuring Recent Research Performance for Chinese Universities Using Bibliometric Methods”, Scientometrics, vol. 101, issue 1, 429–443; Springer, 2014. (SNIP: 1.439, SJR: 1.95, Impact Factor: 2.770, Percentile in Scopus: 94%)
  42. Saeed-Ul Hassan, P. Haddawy, J. Zhu, “A Bibliometric Study of the World’s Research Activity in Sustainable Development and its Sub-areas using Scientific Literature”, Scientometrics, vol. 99, issue 1, 549–579; Springer, 2014. (SNIP: 1.439, SJR: 1.95, Impact Factor: 2.770, Percentile in Scopus: 94%)
  43. Jia Zhu, Yi Yang, Qing Xie, Liwei Wang, Saeed-Ul Hassan, “Robust hybrid name disambiguation framework for large databases”, Scientometrics, vol. 98, issue 3, 2255-2274; Springer, 2014. (SNIP: 1.439, SJR: 1.95, Impact Factor: 2.770, Percentile in Scopus: 94%)
  44. Saeed-Ul Hassan, and P. Haddawy, “Measuring International Knowledge Flows and Scholarly Impact of Scientific Research”, Scientometrics: vol. 94, issue 1, 163–179; Springer, 2013. (SNIP: 1.439, SJR: 1.95, Impact Factor: 2.770, Percentile in Scopus: 94%)
  45. Zhu, Saeed-Ul Hassan, P. Haddawy, “Small-World Phenomenon of Keywords Based on Complex Network”, Scientometrics, vol. 97, issue 2, 435–442; Springer, 2013. (SNIP: 1.439, SJR: 1.95, Impact Factor: 2.770, Percentile in Scopus: 94%)
  46. Saeed-Ul Hassan, P. Haddawy, P. Kuinkel, A. Degelsegger, and C. Blasy, “A Bibliometric study of research activity in ASEAN related to the EU in FP7 priority areas”, Scientometrics, vol. 91, issue 3, 1035–1051; Springer, 2012. (SNIP: 1.439, SJR: 1.95, Impact Factor: 2.770, Percentile in Scopus: 94%)
   Conference Papers
  1. Saeed-Ul Hassan, S Iqbal, M Imran, NR Aljohani, R Nawaz “Mining the Context of Citations in Scientific Publications”, 20th International Conference on Asia-Pacific Digital Libraries (ICADL), Hamilton, New Zealand, 2018. (Core A)
  2. Saeed-Ul Hassan, S Iqbal, M Imran, NR Aljohani, R Nawaz, “Quality Classification of Scientific Publications Using Hybrid Summarization Model”, 20th International Conference on Asia-Pacific Digital Libraries (ICADL), Hamilton, New Zealand, 2018. (Core A)
  3. Saeed-Ul Hassan, Akram, A, P. Haddawy, “Identifying Important Citations using Contextual Information from Full Text”, IEEE/ACM Joint Conference on Digital Libraries (JCDL), Toronto, Ontario, Canada, 2017. (Core A*)
  4. Saeed-Ul Hassan, M Imran, T Iftikhar, I Safder, M Shabir, “Deep Stylometry and Lexical & Syntactic Features based Author Attribution on PLOS Digital Repository”, 19th International Conference on Asia-Pacific Digital Libraries (ICADL), Bangkok, Thailand, 2017. (Core A)
  5. I Safer, J Sarfraz, Saeed-Ul Hassan, M Ali, S Tuarob, “Detecting Target Text related to Algorithmic Efficiency for Scholarly Big Data using Recurrent Convolutional Neural Network Model”, 19th International Conference on Asia-Pacific Digital Libraries (ICADL), Bangkok, Thailand, 2017. (Core A)
  Short papers, Workshops, and Poster Proceedings
  1. D Henriksen, S Malik, Saeed-Ul Hassan, Altmetrics Study of Economics”, 17th International Conference on Scientometrics & Informetrics (ISSI), Rome, Italy, 2019.
  2. I Safder, Saeed-Ul Hassan “DS4A: Deep Search System for Algorithms from Fulltext Scholarly Big Data”, International Conference on Data Mining Workshops (ICDMW), Singapore, 2018
  3. Saeed-Ul Hassan, Safder, I. Naif, R “AI cognition to Search for Relevant Knowledge from Scholarly Big Data using Multilayer Perceptron and RCNN Model”, The World Wide Web (WWW) in Cognitive Computing Track, Lyon, France, 2018.
  4. Saeed-Ul Hassan, M Imran, A Zuccala, “Alt-Index: A proposed Index for measuring the Social Activity of Scientific Research”, 23rd International Conference on Science and Technology Indicators (STI), Leiden, The Netherlands, 2018.
  5. M Imran, A Akhtar, A Said, I Safder, Saeed-Ul Hassan, N. R Aljohani, “Exploiting Social Networks of Twitter in Altmetrics Big Data”, 23rd International Conference on Science and Technology Indicators (STI), Leiden, The Netherlands, 2018.
  6. I Safder, H Batool, Saeed-Ul Hassan “Deep Feature Engineering using Full-text Scholarly Big Data: An Improved Information Retrieval Model”, 20th International Conference on Asia-Pacific Digital Libraries (ICADL), Hamilton, New Zealand, 2018.
  7. A Bakar, Iqra Safder, Saeed-Ul Hassan, “Mining Algorithmic Complexity in Full Text Scholarly Documents”, 20th International Conference on Asia-Pacific Digital Libraries (ICADL), Hamilton, New Zealand, 2018.
  8. A Bakar, N Arshad, Iqra Safder, Saeed-Ul Hassan, “Mining Scientific Trends Based on Topics in Conference Call for Papers”, 20th International Conference on Asia Pacific Digital Libraries (ICADL), Hamilton, New Zealand, 2018.
  9. Saeed-Ul Hassan, Akram, A., Asghar, A., Naif, A. ” Measuring Scientific Knowledge Flows by Deploying Citation Context Analysis using Machine Learning Approach on PLoS ONE Full Text”, 16th International Conference on Scientometrics & Informetrics (ISSI), Wuhan, China, 2017.
  10. Saeed-Ul Hassan, P. Haddawy “Tapping into Scientific Knowledge via Semantic Links”, 15th International Conference on Scientometrics & Informetrics (ISSI), Istanbul, Turkey, 2015.
  11. Saeed-Ul Hassan, P. Haddawy “Semantic Analysis of Knowledge Flows using Scientific Literature”, 19th International Conference on Science and Technology Indicators (STI), Leiden, The Netherlands, 2014.
  12. Haddawy, Saeed-Ul Hassan, “A Comparison of Three Prominent Journal Metrics with Expert Judgement of Journal Quality”, 19th International Conference on Science and Technology Indicators (STI), Leiden, The Netherlands, 2014.
  13. Saeed-Ul Hassan, P. Haddawy, P. Kuinkel, and S. Sedhai., “A Bibliometric Study of Research Activity in Sustainable Development”, 13th Conference of the International Society for Scientometrics and Informetrics (ISSI), Durban, South Africa, pp. 996-998, 2011.
  14. Saeed-Ul Hassan, and R. Ichise, “Discovering Research Domains Using Distance Matrix and Co-Authorship Network”, SIAM International Conference on Data Mining (SDA), vol. 3, Sparks, Nevada, United States, pp. 1252-1257, 2009.
  Technical Reports
  1. Saeed-Ul Hassan, “Research Landscape of Pakistan”, MIT Technology Review Pakistan”, vol. 2, 2016.
  2. Saeed-Ul Hassan, P. Haddawy, P. Kuinkel, A. Degelsegger, and C. Blasy, “Technical Report: Analysing ASEAN-EU research collaboration”, vol. 2012, no. 22-05-2012: UNU, pp. Science, Technology and Society, 2012.
  3. Saeed-Ul Hassan, and R. Ichise, “Discovering Research Themes of Institutes’ Research Work”, Information Processing Society in Japan Special Interest Group Technical Report, vol. 2012-ICS-165, issue 1, 2012.
  4. Haddawy, Saeed-Ul Hassan, P. Kuinkel and S. Sedhai. “Technical Report: Analyses of Research strengths of SEA countries for SEA-EU-NET under Task 4.9 Bibliometric Analysis of S&T strengths in Southeast Asia in Transport, Social Sciences, Security and Space”, European Commission: Science & Innovation Section, Project SEA-EU-NET, United Kingdom, 2012.
  5. Haddawy, Saeed-Ul Hassan, P. Kuinkel and S. Sedhai. “Technical Report: Analyses of Research strengths of SEA countries for SEA-EU-NET under Task 4.9 Bibliometric Analysis of S&T strengths in Southeast Asia in Health, ‘Food, Agriculture and Biotechnology’, Environment, ICT, Energy, Nanotechnology and Industrial Technologies”, European Commission: Science & Innovation Section SEA-EU-NET, 2011.
  Book Chapters
  1. Izza Afrab, Saeed-Ul Hassan, Syeda Amna Hassan, Waqas Rana, “Pakistan’s Role in the New Silk Route: Belt and Road Initiative”, The New Silk Road leads through the Arab Peninsula: Mastering Global Business and Innovation, Emerald Publishing, 2018
  2. Saeed-Ul Hassan, P. Haddawy, L. Inn Beng,Higher Education in Asia: Expanding Out, Expanding Up”, Looking for Research Excellence in the Right Places, David W. Chapman and Chiao-Ling Chien (Eds.), UNESCO Institute for Statistics, Montreal, Canada, 2014.
  3. Haddawy, Saeed-Ul Hassan, P. Kuinkel, and S. Sedhai., “Research strengths of ASEAN countries”, Spotlight on: Science and Technology Cooperation Between Southeast Asia and Europe, A. Degelsegger, and C. Blasy (Eds.): Centre for Social Innovation (ZSI), Linke Wienzeile, Vienna, Austria, 2011.

  • 2017: Eugene Garfield Honorable Mention Award for Innovation in Citation Analysis, Clarivate Analytics, Thomson Reuters, 2017.
  • 2010: Awarded National Institute of Informatics International Internship Program (awarded to the best doctoral candidate in the School of Engineering and Technology, AIT), Tokyo, Japan, March 2010.
  • 2009: The James A. Linen III Memorial Award in recognition of the most outstanding academic performance in the field of Information Management School of Engineering and Technology, Asian Institute of Technology Thailand, 2009.
  • 2009: Graduation Speaker on behalf of all graduating students at the 111th Graduation Ceremony, AIT Asian Institute of Technology Thailand, 2009.
  • 2008: Winner of National Institute of Informatics International Internship Program (awarded to the best MS student in the School of Engineering and Technology, AIT), Tokyo, Japan, May 2008.
  • 2007: Overseas Scholarships for MS/MPhil Leading to Ph.D. awarded by the Higher Education Commission of Pakistan, August 2007 – July 2012.

  • May 2020 – Present: Associate Professor, Information Technology University of Punjab, Pakistan
  • January 2014 – May 2020: Assistant Professor, Information Technology University of Punjab, Pakistan
  • October 2010-September 2013: Post Doc., & Doctoral Fellow, United Nations University International Institute for Software Technology, Macau
  • May 2008 – September 2008: Research Assistant, National Institute of Informatics, Tokyo, Japan
  • November 2006 – August 2007: Software Engineer, KABOT Int’l: US-based Software House in Lahore, Pakistan
  • July 2005 – January 2006: Software Engineer, Tower Technologies Lahore, Pakistan