Employee Profile

Engr. Prof. Dr. Reehan Ali Shah

Professor / Dean, Faculty of Computing

Department of Computer Science, Shaheed Benazir Bhutto University, Shaheed Benazirabad, Nawabshah, Sindh, Pakistan

Email: reehanalishah@sbbusba.edu.pk | Cell: +92 333 2814358

Google Scholar citations: 268 | h-index: 9 | i10-index: 8

Google Scholar: View profile | Scopus: View author profile | ORCID: 0009-0000-5466-6279

Profile Summary

Dr. Reehan Ali Shah is a Professor at the Department of Computer Science, Shaheed Benazir Bhutto University, Shaheed Benazirabad, Sindh, Pakistan. He earned his PhD in Computer Science and Technology from Zhejiang University, China, in 2019. His experience spans research, university teaching, and professional roles. His research interests include Federated Learning, Network Intrusion Detection Systems (NIDS), Feature Selection, Sparse Coding with L1 and L2 Regularization, IoT, and Software Engineering.

Work Experience

Shaheed Benazir Bhutto University (SBBU), Nawabshah — Professor / Dean, Faculty of Computing

Feb 2025 – Present

Shaheed Benazir Bhutto University (SBBU), Nawabshah — Professor / Chairman, Department of Computer Science

Feb 2025 – Feb 2026

Aror University of Art, Architecture, Design & Heritage, Sukkur — Associate Professor; Chairman of AI & MMG

Sep 2024 – Feb 2025

The Islamia University of Bahawalpur — Associate Professor

Mar 2022 – Sep 2024

The Islamia University of Bahawalpur — Assistant Professor

Nov 2011 – Mar 2022

The Islamia University of Bahawalpur — Lecturer

Nov 2009 – Nov 2011

Mehran University of Engineering & Technology (MUET), Jamshoro — Network Administrator

Jan 2009 – Nov 2009

Mehran University of Engineering & Technology (MUET), Jamshoro — Lecturer

Feb 2008 – May 2008

College of Technology, Hyderabad — Instructor

Apr 2006 – Dec 2007

Education / Qualifications

PhD, Computer Science & Technology — Zhejiang University (ZJU), China

2019

M.Engg., Information Technology — Mehran University of Engineering & Technology, Jamshoro, Pakistan

2010

B.Engg., Computer Systems Engineering — Mehran University of Engineering & Technology, Jamshoro, Pakistan

2006

Intermediate, Pre-Engineering — Board of Intermediate & Secondary Education, Pakistan

2001

Research Areas

Federated Learning (FL)

Network Intrusion Detection Systems (NIDSs)

Sparse Modeling (L1 and L2 Regularization)

Feature Selection and Group Feature Selection

Combination Schemes for Intrusion Detection Systems

Internet of Things (IoT) and Software Engineering

Selected Publications

  1. Munir, M. A., Reehan Ali Shah et al. “Sparse Regularized Autoencoders-Based Radiomics Data Augmentation for Improved EGFR Mutation Prediction in NSCLC.” Future Internet, 2025, 17, 495. HEC Cat-X.
  2. Munir, M. A., Reehan Ali Shah, et al. “Enhancing Gene Mutation Prediction with Sparse Regularized Autoencoders in Lung Cancer Radiomics Analysis.” IEEE Access, 2024. HEC Cat-W.
  3. Shah, R., Samavia Riaz, Dileep Kumar, et al. “Efficient Machine Learning Techniques to Classifying Cardiovascular Disease and Improve Prediction Analysis.” Sukkur IBA Journal of Emerging Technologies, 6(2), 2023, 28–42.
  4. Al Hasani, I. M. M., Syed Imran Ali Kazmi, Reehan Ali Shah, et al. “IoT based Fire Alerting Smart System.” Sir Syed University Research Journal of Engineering & Technology, 12(2), 2022, 46–50.
  5. Muhammad Bux, Majdah Alvi, Reehan Ali Shah, et al. “Machine learning-based Fake reviews detection with amalgamated features extraction method.” Sukkur IBA Journal of Emerging Technologies, 5(2), 2022, 10–17.
  6. Zardari, Z. A., Kamran Ali Memon, Reehan Ali Shah, et al. “A lightweight technique for detection and prevention of wormhole attack in MANET.” EAI Endorsed Transactions on Scalable Information Systems, 8(29), 2021.
  7. Alzahrani, A. S., Reehan Ali Shah, Yuntao Qian, and Munwar Ali. “A novel method for feature learning and network intrusion classification.” Alexandria Engineering Journal, 59(3), 2020, 1159–1169.
  8. Farsi, M., Munwar Ali, Reehan Ali Shah, et al. “Cloud computing and data security threats taxonomy: A review.” Journal of Intelligent & Fuzzy Systems, 38(3), 2020, 2517–2527.
  9. Ali, M., Low Tang Jung, Osama Hosam, et al. “A new text-based w-distance metric to find the perfect match between words.” Journal of Intelligent & Fuzzy Systems, 38(3), 2020, 2661–2672.
  10. Shah, R. A., Aa Wagan, M. Ali, and R. Bibi. “An Efficient Technique for Network Intrusion Detection Using Feature Selection.” Sindh University Research Journal (Science Series), 51(3), 2019, 483–492.

Research Projects / Grants

  • Principal Investigator, Sindh Research Support Program by Sindh HEC: “Development of Network Intrusion Detection (NIDS) Scheme with Deep Networks” (under review).
  • Co-Principal Investigator, Sindh Research Support Program by Sindh HEC: “Identification and recycling process of Waste Management using Artificial Intelligence at BNBWU, Sukkur” (under review).
  • Principal Investigator, National Grassroots ICT Research Initiative (Ignite): “Smart City: Enabling Data-driven Decision Making Through IoT Based Management” (completed 2022–2023).
  • Principal Investigator, National Grassroots ICT Research Initiative (Ignite): “Smart Irrigation in Tunnel forming in IoT” (completed 2020–2021).
  • Principal Investigator, National ICT R&D funded project, 2013.

Thesis Supervision

Completed: Ali Raza (2024); Ajmal Muhammad (2024); Samavia Riaz (2023); Amna Khan (2023); Waqar ul Hassan (2023); Rafeh Mahmood (2022); Mamoona Sadiq (2022); Mahir Iqbal (2021); Toba Sagher (2024); Saqib Ahmed (2024). All listed as MS in Computer Engineering at The Islamia University.

In progress: Muhammad Asif Munir (PhD, The Islamia University Bahawalpur, from 2020); Sira Saleem (MS in Computer Engineering, from 2024).

Skills

Software / Programming: MATLAB, Python, Java, WEKA 3.6 ML, Cisco Packet Tracer 7.

Languages: English, Urdu.

Soft Skills: Leadership, Communication, Management.

Teaching Subjects

  • Advanced Computer Networks
  • Network Security & Cryptography
  • Discrete Structures (Discrete Mathematics)
  • Advanced Operating Systems
  • Machine Learning
  • Artificial Intelligence
  • Software Engineering

Distinctions & Professional Service

  • Invited keynote speaker on “Emerging Trends in Cybersecurity with AI,” Aror University of Art, Architecture, Design & Heritage, Sukkur, 14 November 2024.
  • Invited keynote speaker on Robotics & Cybernetics, IEEE SMCS, The Islamia University of Bahawalpur, 14 December 2023.
  • Invited keynote speaker, 1st International Conference on Emerging Trends in Information and Engineering Technology, University of Sindh, Jamshoro, 24–25 March 2022.
  • Overall First Class in academic career; Chinese Council Scholarship (CSC), China, 2014.
  • Member, International Association of Engineers (since 9 January 2017); Pakistan Engineering Council (PEC–Comp/03776).
  • HEC-approved PhD Supervisor; reviewer for international journals including IEEE, Elsevier and Wiley.