Dr. Faisal Kamiran

Associate Professor

PhD - Computer Science, Eindhoven University of Technology (TU/e), Netherlands

  • faisal.kamiran@newitu2.itu.edu.pk

RESEARCH INTERESTS

Data Science, Machine Learning, Data Mining, Text Mining, Descriptive and Predictive Analytics, Social Media Analytics, Sentiment Analysis, Recommender Systems, Natural Language Processing, Constraint-Based Learning, Fairness-aware AI & ML, Big Data and Cloud Computing

Biography

Dr. Faisal Kamiran is an internationally-renowned data science and machine learning expert with extensive experience in academia, research, and industry. He joined ITU in 2013 as the first tenure-track professor and has served as the Chairperson of the Computer Science department at ITU. He is currently an Associate Professor and the Director of Data Science Lab (DSL) and Crime Investigation and Prevention Lab (CIPL). Under his aspiring leadership, DSL is working on cutting-edge research projects with a particular focus on solving locally relevant problems, e.g., disease outbreak prediction, language processing in Urdu and Roman Urdu, and so forth. CIPL is primarily working on geospatial crime patterns, timely suspect identification, speech forensics, crime causal analysis, pre-emptive crime prevention, and spatiotemporal analytics of crime data. He has secured 3 research grants of more than 100 millions PKR as PI in ITU from NRPU-HEC, The World Bank, and Planning Division of Pakistan – HEC. Dr. Faisal is a co-founder of Addo, an AI and Big Data startup that serves solutions and ships products to its multiple enterprise clients including fortune 500 companies, governments and institutions like Islamic Development bank (IsDB).

He received his Ph.D. degree from The Eindhoven University of Technology (TU/e), The Netherlands in 2011. Afterwards, he joined King Abdullah University of Science and Technology (KAUST) as a post-doctorate fellow. Faisal is doing research in the well-established area of data science. In his brief research career, he has already published 3 book chapters and around 50- refereed papers in various prestigious journals and conferences. His publication list includes four ICDM (A*) papers and several other high-quality papers in ECML/PKDD, CIKM, PAKDD, EMNLP, KAIS, TKDD, WWW, JIIS, IJIM, NLE. According to Google scholar, Dr. Faisal Kamran’s H-index is 19 and i10-Index 25, and his research work has more than 3000 citations.

Conferences:
  1. Sameen Mansha, Tayyab Khalid, Faisal Kamiran, Masroor Hussain, Syed Fawad Hussain, Hongzhi Yin, “GDFM: Gene Vectors Embodied Deep Attentional Factorization Machines for Interaction prediction”, CIKM 2021 [CORE Flag 'A']
  2. Fahad Pervaiz, Rai Shah Nawaz, Muhammad Umer Ramzan, Maryem Zafar Usmani, Shrirang Mare, Kurtis Heimerl, Faisal Kamiran, Richard J. Anderson, Lubna Razaq, “An assessment of SMS fraud in Pakistan”, COMPASS 2019
  3. Hafiz Hassaan Saeed, Khurram Shahzad, Faisal Kamiran, “Overlapping Toxic Sentiment Classification Using Deep Neural Architectures”. ICDM Workshops 2018
  4. Omayya Sohail, Inam Elahi, Ahsan Ijaz, Asim Karim, Faisal Kamiran, “Text Classification in an Under-Resourced Language via Lexical Normalization and Feature Pooling”, PACIS 2018
  5. Basmah Altaf, Faisal Kamiran, Xiangliang Zhang, “Modeling Temporal Behavior of Awards Effect on Viewership of Movies”, PAKDD 2017 [CORE Flag 'A']
  6. Sameen Mansha, Faisal Kamiran, Asim Karim, Aizaz Anwar, “A Self-Organizing Map for Identifying InfluentialCommunities in Speech-based Networks”, CIKM 2016 [CORE Flag 'A']
  7. Sameen Mansha, Zaheer Babar, Faisal Kamiran, Asim Karim, “Neural Network Based Association Rule Mining from Uncertain Data”, ICONIP 2016 [CORE Flag 'B']
  8. Aizaz Anwar, Sameen Mansha, Faisal Kamiran, Asim Karim, “Identification of influential users in speech-Based networks”, PACIS 2016
  9. Abdul Rafae, Abdul Qayyum, Muhammad Moeen Uddin, Asim Karim, Hassan Sajjad, Faisal Kamiran, “An Unsupervised Method for Discovering Lexical Variations in Roman Urdu Informal Text”, EMNLP 2015 [CORE Flag 'A']
  10. Zaheer Babar, Abdul Mannan, Faisal Kamiran, Asim Karim, “Understanding the Impact of Socio-Economic and Environmental Factors for Disease Outbreak in Developing Countries”, ICDM Workshops 2015
  11. Sameen Mansha, Faisal Kamiran, “Multi-query Optimization in Federated Databases Using Evolutionary Algorithm”, ICMLA 2015 [CORE Flag 'C']
  12. Mohsin Iqbal, Asim Karim, Faisal Kamiran, “Bias-aware lexicon-based sentiment analysis”, SAC 2015 [CORE Flag 'B']
  13. Salvatore Ruggieri, Sara Hajian, Faisal Kamiran, Xiangliang Zhang, “Anti-discrimination Analysis Using Privacy Attack Strategies”, ECML/PKDD 2014 [CORE Flag 'A']
  14. Toon Calders, Asim Karim, Faisal Kamiran, Wasif Ali, Xiangliang Zhang, “Controlling Attribute Effect in Linear Regression”, ICDM 2013 [CORE Flag 'A*']
  15. Faisal Kamiran, Asim Karim, Sicco Verwer, Heike Goudriaan, “Classifying Socially Sensitive Data Without Discrimination: An Analysis of a Crime Suspect Dataset”, ICDM Workshops 2012
  16. Faisal Kamiran, Asim Karim, Xiangliang Zhang, “Decision Theory for Discrimination-Aware Classification”, ICDM 2012 [CORE Flag 'A*']
  17. Indre Zliobaite, Faisal Kamiran, Toon Calders, “Handling Conditional Discrimination”, ICDM 2011 [CORE Flag 'A*']
  18. Faisal Kamiran, Toon Calders, Mykola Pechenizkiy, “Discrimination Aware Decision Tree Learning”, ICDM 2010 [CORE Flag 'A*']
  19. Toon Calders, Faisal Kamiran, Mykola Pechenizkiy, “Building Classifiers with Independency Constraints”, ICDM Workshops 2009
Journals:
  1. Abinta Mehmood Mir, Ali Hassan, Asma Khalid, Zohair Raza Hassan, Faisal Kamiran, Agha Ali Raza, Saeed-Ul Hassan, Mudassir Shabbir, “Data driven smart policing: A novel road distance-based k-median model for optimal substation placement”, Computers in Human Behavior, Volume 127 (2022) [Impact Factor = 8.957]
  2. Abdul Rafae Khan, Asim Karim, Hassan Sajjad, Faisal Kamiran, Jia Xu, “A clustering framework for lexical normalization of Roman Urdu”, Natural Language Engineering, Volume 28 (2022) [Impact Factor = 18.958]
  3. Saeed-Ul Hassan, Mudassir Shabbir, Sehrish Iqbal, Anwar Said, Faisal Kamiran, Raheel Nawaz, Umar Saif, “Leveraging Deep Learning and SNA approaches for Smart City Policing in the Developing World”, International Journal of Information Management, Volume 56 (2021) [Impact Factor = 1.782]
  4. Hafiz Hassaan Saeed, Muhammad Haseeb Ashraf, Faisal Kamiran, Asim Karim, Toon Calders, “Roman Urdu toxic comment classification”, Language Resources and Evaluation, Volume 55 (2021) [Impact Factor = 1.835]
  5. Anam Zahid, Maham Nasir Khan, Ahmer Latif Khan, Faisal Kamiran, Bilal Nasir, “Modeling, Quantifying and Visualizing Media Bias on Twitter”, IEEE Access, Volume 8 (2020) [Impact Factor = 3.476]
  6. Bilal Qureshi, Faisal Kamiran, Asim Karim, Salvatore Ruggieri, Dino Pedreschi, “Causal inference for social discrimination reasoning”, Journal of Intelligent Information Systems, Volume 54 (2020) [Impact Factor = 2.504]
  7. Mohsin Iqbal, Asim Karim, Faisal Kamiran, “Balancing Prediction Errors for Robust Sentiment Classification”, ACM Transactions on Knowledge Discovery from Data, Volume 13 (2019) [Impact Factor = 2.713]
  8. Sameen Mansha, Hoang Thanh Lam, Hongzhi Yin, Faisal Kamiran, Mohsen Ali, “Layered convolutional dictionary learning for sparse coding itemsets”, World Wide Web: Internet and Web Information Systems, Volume 22 (2019) [Impact Factor = 3.000]
  9. Faisal Kamiran, Sameen Mansha, Asim Karim, Xiangliang Zhang, “Exploiting reject option in classification for social discrimination control”, Information Sciences, Volume 425 (2018) [Impact Factor = 8.233]
  10. Saeed-Ul Hassan, Iqra Safder, Anam Akram, Faisal Kamiran, A novel machine-learning approach to measuring scientific knowledge flows using citation context analysis, Scientometrics, Volume 116 (2018) [Impact Factor = 3.801]
  11. Faisal Kamiran, Indre Zliobaite, Toon Calders, “Quantifying explainable discrimination and removing illegal discrimination in automated decision making”, Knowledge and Information Systems, Volume 35 (2013) [Impact Factor = 2.5]
  12. Faisal Kamiran, Toon Calders, “Data preprocessing techniques for classification without discrimination”, Knowledge and Information Systems, Volume 33 (2011) [Impact Factor = 2.5]

  • 2017 World Bank Research Innovation Award for his work on gender-based violence
  • 2009 Best student paper award, IEEE IC4 conference
  • 2004 Gold Medalist in MSCS

  • IEEE member
  • ACM member
Research Collaborations with:
  • Prof. Dr. Dino Pedreschi, CNR Pisa and the University of Pisa, Italy.
  • Prof Dr. Asim Karim, Lahore University of Management Sciences (LUMS), Pakistan.
  • Prof. Dr. Indrė Žliobaitė, Bournemouth University, UK.
  • Prof. Dr. Toon Calders, Librė University of Brussels, Belgium.