Research Supervision

Graduate Level (MS-Computer Science)

Topic: Opinion Severity Prediction about COVID-19 Vaccination using Twitter Sentiments Analysis (Graduated)

Scholar Detail: Mr. Maaz Khan (Session 2020-22), MS Computer Science, School of Computer Science and Information Technology, IMSciences, Peshawar.

Defense Date: February 02, 2024

Topic: Continuous Deep learning for detection of epilepsy seizure (Graduated)

Scholar detail: Mr. Inam ul Haq (Session 2021-2023), School of Computer Science and Information Technology, IMSciences, Peshawar.

Defense Date: May 02, 2024

Topic: DDoS Attack Detection in Edge-IIoT Network Using Ensemble Learning (In-Progress)

Scholar detail: Ms. Fariba Liaq (Session 2021-2023), School of Computer Science and Information Technology, IMSciences, Peshawar.

Undergraduate Level (BS-Data Science, Software Engineering, Computer Science)

Topic: E-Scaffolding Management Software

Students: Mohammad Farrukh Tahir, Maaz Hussain, Abdul Basit Iqbal, (Session 2020-2024, BCS)

Project: Galls Detection in Alstonia Scholaris Tree using Convolutional Neural Networks

Students: Nisar Ahmad, Raza Ali, and Syed Zorez Ali Shah (BS-Data Science Session 2020-2024 Group-12)

Project: Project title: Enhancing News Article Understanding through Summarization and Sentiment Analysis

Students: Shabaz Ahmad, Muhammad Abubakar, and Ayan Afridi (BS-Data Science Session 2020-2024)

Project: A Modern ETL Pipeline from MySQL to Redshift

Students: Mohammad Shamsher, Rishma Mashal, Khalid Khan ( BS-Data Science, 2020-24)

Research Interest

  • Customer churn prediction in service-based industries (i.e., the telecom sector).
  • Continual deep learning approach in medical informatics (i.e., epilepsy seizure prediction).
  • Analyzing complex social networking and link prediction. i.e., social network analysis.
  • DDoS attack detection in the Edge-IIoT network and Digital Twins technology.
  • Data augmentation, over-sampling, and under-sampling (cross-disciplinary domain).

1. Conferences/Workshops

  1. The 4th Edition of International Conference on Social Media and Digital Marketing, (2023). (Editorial Board Member)
  2. The 12th International Conference on Data Science, Technology, and Applications, (DATA 2023) will be held in Roma, Italy, on 11-13 July 2023. (Reviewer)
  3. The 16th International Conference on Information Technology and Applications (ICITA 2022) will be held in Lisbon, Portugal, on 20 – 22 October 2022. (Sessions Chair)
  4. 1st Workshop on Leveraging Customer Behaviour Using Advanced Data Analytics and Machine Learning Techniques, Terceira Island, Azores, Portugal. (Track Chair)
  5. 12th International Conference on Data Science Technology and Application, 11-13 July 2023 Rome-Italy. (Program Committee Member)
  6. International Workshop on Machine Learning for Web Services Security (MLWSS’2021), From 14 – 17 December 14–17, 2021 at Zayed University, Academic City, Dubai, UAE. (Workshop Chair)
  7. International Workshop on Machine Learning for Web Services Security (MLWSS’2020), From 14 – 17 December 2020 at Zayed University, Academic City, Dubai, UAE. (Workshop Chair)
  8. 4th World Conference on Information Systems and Technologies (WorldCIST’16), to be held at Recife, PE, Brazil, 22 – 24 March 2016. (Program Committee Member)
  9. 3rd World Conference on Information Systems and Technologies (WorldCIST’15), to be held at Ponta Delgada, São Miguel, Azores, Portugal, 1 – 3 April 2015. (Program Committee Member)

2. Web of Sciences Indexed Journals (Click to View My Reviewer’s Record)

3. Research Projects

  1. Project (Phase 1): Social media-based predictive models to characterize and detect upcoming foodborne illness outbreaks through ambient tracking and monitoring over users.
    • Role: Research Assistant
    • From: 01-July-2021 to 30-July-2022
  2. Project: Evaluating data analytics for improving buyer-seller relationships for small and medium enterprises in UAE.
    • Role: Research Assistant
    • From:
  3. Project (Phase 2): Social media-based predictive models to characterize and detect upcoming foodborne illness outbreaks through ambient tracking and monitoring of users.
    • Role: Research Assistant
    • From: 01-July-2021 to 30-July-2022
  4. Project (Phase 3): Social media-based predictive models to characterize and detect upcoming foodborne illness outbreaks through ambient tracking and monitoring over users.
    • Role: Research Assistant
    • From: 01-July-2021 to 30-July-2022