2024-present Associate Professor, Department of Computer Science, SZABIST University, Islamabad.
2023-present Program Manager, MS Computer Science, SZABIST University, Islamabad.
2022-present Program Manager, MS Cyber Security, SZABIST University, Islamabad.
2022-2023 Program Manager, BS Artificial Intelligence, SZABIST University, Islamabad.
2018-2024 Assistant Professor, Department of Computer Science, SZABIST University, Islamabad.
2013-2018 Research Associate / PhD Scholar, COMSATS University Islamabad.
2009-2010 Lecturer / Evening Coordinator, School of Information Technology, University of Lahore.
2005-2013 Lab Supervisor / Demonstrator, COMSATS Institute of Information Technology, Islamabad.
• Recognized in the Stanford/Elsevier Top 2% Scientist List (2025 release; single-year impact based on 2024 citation data).
• Received Certificate of Recognition from the Chairman, Higher Education Commission (HEC), Pakistan, in acknowledgment of research achievements.
• HEC Pakistan Approved PhD Supervisor.
• Research Productivity Award, Pak-China Business Forum (2013, 2017, 2018).
• Program committee member of multiple international conferences.
• Invited speaker at multiple international conferences and symposiums.
• Led end-to-end academic management for the MS Cyber Security, MS Computer Science and (previously) BS Artificial Intelligence programs, including curriculum enhancement, academic operations, resource utilization and student support.
• Planned and organized seminars and workshops aligned with emerging local and international market needs for graduate and undergraduate students.
• Spear heading marketing and admissions teams with program positioning, campaigns and academic guidance for graduate programs.
• Advisor for the CS/SE society and organizer for IS / thesis / FYP evaluation activities across BS, MS and PhD programs.
• Compiled and edited annual research profile reporting for the department.
• Served as Secretary of the plagiarism committee.
• Contributed to self-assessment report (SAR) compilation for MS Computer Science, MS Cyber Security, MS Data Science and PhD Computing programs (2019-present).
• Examiner and reviewer of thesis/ dissertations for MS Computer Science, MS Data Science, MS Cyber Security and PhD Computing.
Courses taught include Advanced Computer Networks, Network Security, Sensor and Adhoc Networks, Advanced Wireless Networks, Smart Grid and Smart Grid Security, Distributed Data and architecture-related courses for graduate (MS / PhD) and undergraduate (BS) programs.
EXPERIENCE PROFILE and INSTITUTIONAL STRENGTHS
• University teaching experience: more than 18 years
• Graduate supervision and research mentoring
• Curriculum development and quality assurance
· Curriculum development and revision contributions in Cyber Security, AI, and Data Science programs.
· Mentorship of early-career researchers and junior faculty in research methodology, publication strategy.
· Active participation in departmental, faculty, and university-level academic committees (as applicable) .
· Cultivated a culture of publication excellence, with supervised students contributing as first authors to W-category journals.
· Mentored graduate researchers in the conceptualization, execution, and publication of high-impact research, with supervised work resulting in 12+ reputable international journal publications and counting.
· Consistently guided students through the full research lifecycle from proposal to publication, with multiple theses currently under revision at high-impact venues.
· Served as co-supervisor for interdisciplinary research in medical sensing, agricultural pest detection, and digital forensics.
· Shahid (Spring 25) A Comparative Analysis of Deep Learning Methods for Early Detection of Skin Lesions (MSCS)
· Faraz- (spring 25) Next-Generation Deepfake Detection: Hybridizing Deep Learning and Error Level Analysis (MS Cyber Security)
· Sadaf (Spring 25) A novel and lightweight authentication mechanism for cloud-assisted IoT applications. (MS Cyber Security)
· Husnain (Fall 24) Cyber Deception utilizing honeypots to secure buildings (MS Cyber Security)
· Moeed Gul Durrani- (Spring 24) Secure Billing in Smart Grid Using Blockchain. ( MS Cyber Security)
· Mishal Imtiaz Satti (Fall 24) Growth Detection of kidney cysts through ultrasonography images using deep neural networks (MSCS). Thesis Work submitted in Peer Journal of Computer Science
· Aziz ur Rehman Badar- (Spring 24) Learning Based Framework for GPS Spoofing Attack Detection in Unmanned Aerial Vehicle, (MS Cyber Security) - Thesis work published in PeerJ of Computer Science.
· Werisha Abrar (Spring 24) Investigating Cybersecurity Risk of Malware Generation by
Generative AI -(MS Cyber Security) Thesis work published in the Artificial Intelligence Review journal (IF 14.9)
· Farwa Nawaz-(Fall 23) Solar energy generation forecasting using machine learning techniques. (MSCS)
· Irtaza Hassan (Spring 23) Optimal resource allocation in challenged IoV environment using learning mechanisms (MS Data Science)
· Abdl Aziz (Spring 23) Peak power demand forecasting for Pakistan, focusing on economic and climatic changes. (MS Data Science)- published in International journal (Frontier of Energy Research)
· Taj Wali (Spring 2022) Distributed data processing and learning approaches for credit card fraud detection (MS Data Science).
· Noor-ul-Ain (spring 2021) Criminal behaviour identification analysis and prediction using social media forensics. ( MS Data Science) Thesis work is published in “Electronics (Switzerland) Special Issue Digital Trustworthiness: Cybersecurity, Privacy and Resilience” journal
· Awais Khan Mughal, (Fall 2020) Fraud Detection in Credit Card Online Transactions Using Machine Learning (MS Data Science)
· Asjad Ali, (Fall 2020) Machine learning-based smart sitting posture monitoring system (MS Data Science)
· Tayyaba Ilyas (Spring 2021) COVID-19: An IoT-Enabled Suspect Detection and Patient Monitoring Framework Using Data Fusion Techniques (MS Computer Science) Thesis work is published in Energies journal.
· Mehr Un Nisa (Fall 2019), Analysis of E-Commerce Big Data Using Spark. (MS Data Science) published in conference proceedings and electronics journal.
· Tariq Mahmood (Spring 2019), Optimal resource sharing of networked micro grids focusing uncertainty. (MS Computer Science) - The work is published as chapter 4 in Security and Organization within IoT and Smart Cities
· Shah Hasan Mahmood (Fall 2019), S-DPS: An SDN/Entropy-based Light-weight Approach Focusing DDoS Attacks in Smart Grids. (MS Computer Science)- Thesis work is published in the Security and Communication Networks Journal.