Shaheen Khatoon

Dr Shaheen Khatoon

Senior Lecturer

AI & Computer Vision, Data Science & Machine Learning, Big Data and Data Analytics, Internet of Things (IoT), Edge AI and Cloud Computing, NLP & Multimodal Information Processing

Department of Engineering & Computing

Dr Shaheen Khatoon is a Senior Lecturer in Data Science at the School of Architecture, Computing, and Engineering, since  January 2023.

She received her PhD in Computer Science from Huazong University of Science and Technology, China, in 2012. Throughout her career, she has been affiliated with various universities. Before joining UEL, she served as an Associate Professor at Xian Jiaotong Liverpool University (China) and worked as an Assistant Professor at King Faisal University (Saudi Arabia) and Nanchang University (China).

Qualifications

  • Doctor of Philosophy in Computer Applied Technology, Huazhong University of Science and Technology, P.R China
  • MS Software Engineering, Shaheed Zulfikar Ali Bhutto Institute of Science & Technology, Islamabad, Pakistan
  • Master’s in Computer Science, Islamic International University, Islamabad, Pakistan

Areas Of Interest

  • Data Science
  • IT Project Management
  • Artificial Intelligence
  • Machine Learning
  • Natural Language Processing
Shaheen Khatoon

OVERVIEW

Shaheen's primary area of research is Artificial Intelligence (AI), and she is particularly interested in data mining, Machine Learning, Natural Language Processing, and Deep Learning, as well as their interdisciplinary applications to Predictive Analytics in Healthcare, Smart Homes & IoT Applications, Social Network Analytics, and Precision Agriculture. She finds these applications exciting because of their practical value and the inspiration they provide for new problems, which can prompt the development of new theories and algorithms that have not been previously investigated. As a result, Shaheen's research work combines both theoretical and practical aspects of AI techniques to solve real-world problems.

Shaheen has received various research grants and completed numerous research projects in collaboration with industry partners. She has authored over 40 publications in prestigious journals and supervised several postgraduate and undergraduate research projects, with some of them showing a high impact in the field. With a decade of experience in teaching a diverse range of computing courses, extensive experience in curriculum development, and higher education quality assurance, Shaheen has made a lifelong commitment to computer science education. She is a senior member of the Project Management Institute (PMI) and the Association for Computing Machinery (ACM).

CURRENT RESEARCH

Research and impact

  • PI: Cloud-Enabled Social Media Analytics and Crowdsourcing Framework for Crisis Management and National Security. Lead and managed SAR 1.8 million grant by the Research and Development Office(RDO), Ministry of Education, Kingdom of Saudi Arabia, 2020 – 2023, Grant No. 523
  • PI: “Development of an AI-powered system for automatic detection and management of plant disease, nutrition deficiency, and pest control”, SAR 30,000 grant from Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia, Jan 2020 – Dec 2020.
  • CO-PI: Development of a Precision Agriculture Testbed using Low-cost IoT-based Data Collection and Cloud-based Computing Framework, SAR 30,000 grant from Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia, August 2020 – July 2021.
  • PI: “Real-time social media analytics system for Saudi telecom company for Enhanced Customer Relationship Management (CRM)”, SAR 100,000 grant by Deanship of Scientific Research, King Faisal University, 2017 – 2019.
  • CO-PI: “Ontology model for granular computing”, granted by Chinese National Natural Science Fund 2013- 2014, Grant No: 61070139.
  • CO-PI: “Predicting Mortality rate of ICU patients’ using intelligent techniques”, granted by the Science and Technology Department of Jiangxi Province, 2012-2014, Grant No: 20132BDH80017.

PUBLICATIONS

Peer-Reviewed Journals

  1. Ali Z, Mahmood A, Khatoon S, Alhakami W, Ullah SS, Iqbal J, Hussain S. A Generic Internet of Things (IoT) Middleware for Smart City Applications. Sustainability. 2023; 15(1):743. 
  2. Haider, Sajjad, Azhar Mahmood, Shaheen Khatoon, Majed Alshamari, and Muhammad Tanvir Afzal. 2022. "Automatic Classification of Eyewitness Messages for Disaster Events Using Linguistic Rules and ML/AI Approaches" Applied Sciences 12, no. 19: 9953. 3
  3. Inam, Saba, Azhar Mahmood, Shaheen Khatoon, Majed Alshamari, and Nazia Nawaz. 2022. "Multisource Data Integration and Comparative Analysis of Machine Learning Models for On-Street Parking Prediction" Sustainability 14, no. 12: 7317.
  4. AlAbdulaali, A.; Asif, A.; Khatoon, S.; Alshamari, M. Designing Multimodal Interactive Dashboard of Disaster Management Systems. Sensors 2022, 22, 4292.
  5. AlGhamdi Najwa, Shaheen Khatoon, and Majed Alshamari. (2022). "Multi-Aspect Oriented Sentiment Classification: Prior Knowledge Topic Modelling and Ensemble Learning Classifier Approach" Applied Sciences 12, no. 8: 4066.
  6. Mir, J., Mahmood, A., Khatoon, S. (2022). Multi-Level Knowledge Engineering Approach for Mapping Implicit Aspects to Explicit Aspects. CMC-Computers, Materials & Continua, 70(2), 3491–3509.
  7. Essam, Nader, Abdullah M. Moussa, Khaled M. Elsayed, Sherif Abdou, Mohsen Rashwan, Shaheen Khatoon, Md. M. Hasan, Amna Asif, and Majed A. Alshamari. "Location Analysis for Arabic COVID-19 Twitter Data Using Enhanced Dialect Identification Models" Applied Sciences Vol.11, No. 23, 2021.
  8. Amna Asif, Shaheen Khatoon, Md Maruf Hasan, Majed A Alshamari, Sherif Abdou, Khaled Mostafa Elsayed, Mohsen Rashwan, "Automatic analysis of social media images to identify disaster type and infer appropriate emergency response." Journal of Big Data 8, no. 1 (2021): 1-28.
  9. Shaheen Khatoon, Majed Alshmari, Amna Asif, and MD Maruf Hasan, “Development of Social Media Analytic System for Emergency Event Detection and Crisis Management”, Computers, Materials & Continua, Vol. 68, No. 2, 2021.
  10. Shaheen Khatoon, Md Maruf Hasan, Amna Asif, Majed Alshmari and Yun-Kiam Yap, “Image-based Automatic Diagnostic System for Tomato Plants using Deep Learning”, Computers, Materials & Continua, Vol. 67, No. 1, 2021
  11. Shaheen Khatoon, Lamis Abu Romman, Md Maruf Hasan, “A Domain-Independent Automatic Labeling System for Large-scale Social Data Annotation using Lexicon and Web-based Augmentation”, Information Technology and Control, Vol. 49, No. 4, 2020.
  12. Ujager, Farhan Sabir, Azhar Mahmood, and Shaheen Khatoon. "Wellness determination of the elderly using Spatio-temporal correlation analysis of daily activities”, Journal of Ambient Intelligence and Smart Environments, vol. 11, No. 6, pp. 515-526, 2019.
  13. Khatoon. S, “Real-time Twitter Data Analysis of Saudi Telecom Companies for Enhanced Customer Relationship Management”, International Journal of Computer Science and Network Security, 17(2), 2017
  14. Xu, J., Zhang, Y., Zhang, P., Mahmood, A., Li, Y., & Khatoon, S., “Data Mining on ICU Mortality Prediction Using Early Temporal Data: A Survey”, International Journal of Information Technology & Decision Making, 1-43, 2017.
  15. J. Mir, A. Mahmood, Khatoon. S, “Aspect Based Classification Model for Social Reviews”, Engineering, Technology & Applied Science Research, Vol 7, No 6 (2017)
  16. Khatoon. S, “Multi-Agent Distributed Clustering Framework for Large Scale Social Data: Twitter Case Study”, International Journal of Computer Science and Information Security, 14(12), 2016
  17. Khatoon, S., “A conceptual framework for effective organizational adoption of social technologies”, International Journal of Advanced and Applied Science, 3(9), 78-89, (2016).
  18. Muhammad I, Muhammad A, S. Khatoon, “An energy-efficient model for WSN applications”, International Journal of Computer Science and Information Security, Vol. 14, No. 12, 2016.
  19.  M. A. Khalifa, S. Khatoon, A. Mahmood, I. Fatima “Factors Influencing Patients Attitudes to Exchange Electronic Health Information in Saudi Arabia: An Exploratory Study”, International Journal of Advanced Computer Science and Applications, vol. 7, no. 8, pp. 197-204, 2016.
  20. M. Farhan Sabir Ujager, S. Khatoon, Muhammad Imran, Umair Abdullah, “Evaluation of Wellness Detection Techniques using Complex Activities Association for Smart Home Ambient,” International Journal of Advanced Computer Science and Applications, vol. 7, no. 8, pp. 243-253, 2016.
  21. M. Mirza Aamir Mehmood, Muhammad Naeem Ahmed Khan, S Khatoon, “A Scenarios based Distributed Testing Model for Software Applications,” International Journal of Advanced and Applied Science, 3(10), 2016.
  22. X Jianfeng, Z Yuanjian A Mahmood, S Khatoon, Yu Li, “A Hybrid Framework for ICU Mortality Prediction”, Journal of Software Engineering Vol.8, No.4, 2014.
  23. X Jianfeng, L Yu, A Mahmood, S Khatoon, Z. Yuanjian, “A Quotient Space-based Clustering Protocol for Wireless Sensor Networks”, Information Technology Journal Vol.13, No.15, 2014.
  24. Mahmood, A., Shi, K., Khatoon, S., and Xiao M., “Data mining techniques for wireless sensor networks: A survey”, International Journal of Distributed Sensor Networks, 2013.
  25. S Khatton, G.Li, A. Mahmood, “Comparison and Evaluation of Source Code Mining Tools and Techniques: A Qualitative Approach”, Intelligent Data Analysis, Volume 17-3, PP. 459-484, 2013
  26. Shaheen Khatoon, Mahmood A., Guohui li and Jianfeng Xu., “A Novel Integrated Framework to Increase Software Quality by Mining Source Code”, Journal of Software Engineering, Vol.7, No. 3, pp. 86-105, 2013.Academic Publisher New York USA.
  27. Mahmood A., K. Shi and S. Khatoon, “An Efficient Distributed Data Extraction Method for Mining Sensor Network’s Data”, IJCSI International Journal of Computer Science Issues, Vol. 10, Issue 1, January 2013.
  28. Mahmood A. and S. Khatoon, “An Approach to Generate Test Goals from Use case Scenarios” Information Technology Journal, Volume 12, Number.8, PP 1600-1606, 2013.
  29. Mahmood A., K. Shi and S. Khatoon, “Mining data generated by sensor networks: A survey” Information Technology Journal, Volume 11: 1534-1543, 2012.
  30. S. Khatoon, G.Li, Rana M. A., “A Framework for Automatically Mining Source Code”, Journal of Software Engineering, vol. 5, no. 2, pp. 64-77, 2011, Academic Publisher New York USA.
  31. S. Khatoon, A. Mahmood, “Methodology of Mapping Business Process into Execution Language”, International Journal of Engineering Science & Technology (IJEST), vol. 3, no. 1. 2011.

Conferences

  1. Lamees Abu Romman, Shaheen Khatoon, Majed Alshmari, and MD Maruf Hasan, “Improving Sentiment Classification for Large-Scale Social Reviews using Stack Generalization”, International Conference on Emerging Technologies and Intelligent Systems (ICETIS-2021).
  2. Najwa Alghamdi and Shaheen Khatoon, “Improving the Automatic Predictive Classification Using Heterogeneous and Homogeneous Ensemble Models and Classifiers: A Comparative Study”, 18th International Learning and Technology Conference at Effat University, Jeddah, KSA, 2021.
  3. Azhar Mahmood, Ke Shi, S. Khatoon, “Controlling In-patient Environment by Mining Sensor Networks Data,” in 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) 2013.
  4. S. Khatoon, G.Li, A. Mahmood, “An evaluation of source code mining techniques”, in Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) 2011, pp. 1929-1933.

Book Chapters

  1. Shaheen Khatoon, Amna Asif, MD Maruf Hasan, and Majed Alshmari, “Social Media based Intelligence for Disaster Response and Management in Smart Cities”, Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities. Springer Optimization and Its Applications, vol 186, 2022, Springer, Cham. 

MODULES

  • CN5001-Business Intelligence Analysis
  • CN7030-Machine Learning on Big Data
  • CN7023-AI & Machine Vision
  • CN7000-Dissertation