Department of Computer Sciences
Quaid-i-Azam University, Islamabad

Akmal Saeed Khattak

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Assistant Professor

HEC Approved Supervisor

📧 akhattak-at-qau-edu-pk
☎ +92-51-9064-2059
📯 Room # 223, Dept. of Computer Science,
     Quaid-i-Azam University, Islamabad, Pakistan

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Research Publications | PhD Students | MPhil/MS Students | BS/MSc Students

Research Interests

Teaching

Research Publications

Journal (Impact Factor)

  1. Khawaja Moyeezullah Ghori, Muhammad Awais, Akmal Saeed Khattak, Muhammad Imran, Fazal-E-Amin, Laszlo Szathmary, Treating Class Imbalance in Non-Technical Loss Detection: An Exploratory Analysis of a Real Dataset, IEEE Access, 2021, vol. 9, pp. 98928-98938, ISSN 2169-3536, (Link)
  2. Muhammad Usman Tariq, Muhammad Babar, Marc Poulin, Akmal Saeed Khattak, Mohammad Dahman Alshehri, Sarah Kaleem, Human Behavior Analysis Using Intelligent Big Data Analytics, Frontiers in Psychology, 2021, vol. 12, ISSN 1664-1078, (Link)
  3. Muhammad Babar, Akmal Saeed Khattak, Mian Ahmad Jan, Muhammad Usman Tariq, Energy aware smart city management system using data analytics and Internet of Things, Sustainable Energy Technologies and Assessments, 2021, vol. 44, ISSN 2213-1388, (Link)
  4. Muhammad Usman Tariq, Muhammad Babar, Mian Ahmad Jan, Akmal Saeed Khattak, Mohammad Dahman Alshehri, Abid Yahya, Security Requirement Management for Cloud-Assisted and Internet of Things—Enabled Smart City, Computers Materials and Continua, 2021, vol. 67, pp. 625-639, ISSN 1546-2226, (Link)
  5. Iram Tariq, Muddassar Azam Sindhu, Rabeeh Ayaz Abbasi, Akmal Saeed Khattak, Onaiza Maqbool, Ghazanfar Farooq Siddiqui, Resolving cross-site scripting attacks through genetic algorithm and reinforcement learning, Expert Systems with Applications, 2020, 114386, ISSN 0957-4174, (Link)
  6. Malik, MI, Sindhu, MA, Khattak, AS, Abbasi, RA, Saleem, K. Automating test oracles from restricted natural language agile requirements. Expert Systems. 2020;e12608. (Link)
  7. Muhammad Babar, Akmal Khattak, Fahim Arif, and Muhammad Tariq, "An Improved Framework for Modelling Data Warehouse Systems Using UML Profile", International Arab Journal of Information Technology, Vol. 17, No. 4, July 2020. (Link)
  8. Shariq Bashir, Akmal Saeed Khattak, Mohammed Ali Alshara, "Automatically transforming full length biomedical articles into search queries for retrieving related articles", Egyptian Informatics Journal, 2020, ISSN 1110-8665. (Link)
  9. Farah Haneef, Rabeeh Ayaz Abbasi, Muddassar Azam Sindhu, Akmal Saeed Khattak, Muhammad Nouman Noor, Naif Radi Aljohani, Ali Daud, Sachi Arafat, "Using network science to understand the link between subjects and professions", Computers in Human Behavior, Volume 106, 2020, 106228, ISSN 0747-5632. (Link)
  10. Babar, M, Javaid, S, Saeed Khattak, A, Ali, A. Toward energy‐efficient data management design for sustainable cities and societies. Transaction on Emerging Telecommunication Technologies, 2019. (Link)
  11. Bashir, S., Khattak, A.S. Producing efficient retrievability ranks of documents using normalized retrievability scoring function, Journal of Intelligent Information System 42, 457–484 (2014). (Link)

Journal (Non-Impact Factor)

  1. Muhammad Usman Tariq, Muhammad Babar, Marc Poulin, Akmal Saeed Khattak , Distributed model for customer churn prediction using convolutional neural network, Journal of Modelling in Management, 2021, ISSN 1746-5664, (Link)

Conference

  1. 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. (Link)
  2. A. Javid, U. Rashid and A. S. Khattak, "Marking Early Lesions in Labial Colored Dental Images using a Transfer Learning Approach", 2020 IEEE 23rd International Multitopic Conference (INMIC), 2020, pp. 1-5, doi: 10.1109/INMIC50486.2020.9318173. (Link)
  3. M. Faisal, A. Hameed and A. S. Khattak, "Recommending Movies on User's Current Preferences via Deep Neural Network," 2019 15th International Conference on Emerging Technologies (ICET), Peshawar, Pakistan, 2019, pp. 1-6. (Link)
  4. M. Saddal, U. Rashid and A. S. Khattak, "A Browsing Approach to Explore Web Image Search Results," 2019 22nd International Multitopic Conference (INMIC), Islamabad, Pakistan, 2019, pp. 1-6. (Link)
  5. F. Imran, R. A. Abbasi, M. Azam Sindhu, A. S. Khattak, A. Daud and T. Amjad, "Finding Research Areas of Academicians using Clique Percolation," 2018 14th International Conference on Emerging Technologies (ICET), Islamabad, 2018, pp. 1-6. (Link)
  6. Khattak A.S., Heyer G. (2014) Exploiting Co-Occurrence of Low Frequent Terms in Patents. In: Gruca D., Czachórski T., Kozielski S. (eds) Man-Machine Interactions 3. Advances in Intelligent Systems and Computing, vol 242. Springer, Cham. (Link)
  7. A. S. Khattak and G. Heyer, “Significance of Low Frequent Words in Patent Classification using IPC hierarchy”, in the Lecture notes of Informatics (LNI), in the proceedings of 11th International Conference on Innovative Internet Community Systems I2CS 2011, June 15-17, 2011 – Berlin, Germany. (Link)
  8. A. S. Khattak and G. Heyer, “Significance of Low Frequent Terms in Patent Classification”, in the proceedings of Sixth International Multi-Conference on Computing in the Global Information Technology ICCGI 2011, June 19-24, 2011 – Luxembourg. (Link)

PhD Students

Under Supervision

  1. Muhammad Hamza

MPhil/MS Theses Supervised

  1. Anum Zehra - "Patent Classification using Keyword Extraction Techniques"
  2. Jay Kumar - "Fake Review Detection using Behavioral and Contextual Features"
  3. Bizzat-ul-Hasan - "Election Prediction using Sentiment Analysis of Twitter Data"
  4. Mahjabeen Rashid - "Fake Reviewer Group Detection using Social Network Based Techniques"
  5. Izzah Salam - "Identifying Public Grievances on Twitter"
  6. Maryam Ahmad - "A Social Network Based Approach to Detect Fake News on Twitter Data"
  7. Saddam Hussain - "Identification of Targets in Disinformative Articles using Supervised Machine Learning"

BS/MSc Projects Supervised

  1. Muhammad Ali - "Stock Market Share Analyzer"
  2. Ahmad Ilyas - "QAU CS Department Alumni Network"
  3. Zeeshan Ali Satti - "Web Based Application for Comparison of Products"
  4. Ateeq-Ur-Rehman - "Archiving Official Notifications"
  5. Suleman Tanveer - "Legal Document Search Engine"
  6. Asma Ambreen - "BirdZella"
  7. Iqra Yaseen - "Pak-Rider: Web-based Vehicle Sharing Application"
  8. Tahir Mehmood -"Android Based Places Finder"
  9. Noor-al-Ain - "Product Rating Based on Reviews"
  10. ArifUllah - "Scheduling Timetable Using Graph Coloring Technique"
  11. Samreen Satti - "Android Based Lost and Found Application"
  12. Oniba Khan - "Android Based Image Password Application"
  13. Samia Zahid - "Pak-Hotel Villa: A web-based Cheap Hotel Finder"
  14. Umair Malik - "Spam E-mail Classification"
  15. Khizra Malik - "Pak-Classic Videos Archive"
  16. Naila Naz - "Android Based Tic Tac Toe Game"
  17. Farwa Dilshad - "Android Based Ludo Game"
  18. Abdul Samad Abbasi -"Newser - News Crawler"
  19. Wardah Khan Alizai - "Tour De Pak - Android based application"
  20. Syeda Kehkeshan Bukhari - "Android Based Caram Board Game"