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Dr. Sohag Kabir

Associate Professor

Area
School of CSAI&E
Faculty of Eng & Digital Technologies
E-mail
S.Kabir2@bradford.ac.uk
Phone
+441274232212
Link
https://sites.google.com/view/sohag-kabir
Dr. Sohag Kabir
76 publications

Biography

Dr Sohag Kabir is an Associate Professor in the School of Computer Science, Artificial Intelligence, and Electronics. He is also a Fellow of the Advance HE (formerly known as Higher Education Academy (HEA)). Currently, he is leading the MSc Big Data Science and Technology, MSc Artificial Intelligence and Machine Learning, and MSc Applied Computer Science and Artificial Intelligence programmes. Dr Sohag earned his PhD in Computer Science and MSc in Embedded Systems from the University of Hull in 2016 and 2012, respectively. He obtained his BSc in Computer Science and Engineering from Bangladesh University of Professionals. Before joining the University of Bradford, he worked as a Research Associate with the Dependable Intelligent Systems (DEIS) Research Group at the University of Hull. 

Dr Sohag's research focuses on assessing, assuring, and certifying the safety, reliability, and security of autonomous cyber-physical systems. He has collaborated with diverse industries and academics from various disciplines to develop innovative solutions that enhance the safety, security, and reliability of cyber-physical systems. Currently, he is working on two projects, namely "Smart and Sustainable Manufacturing for Baking Industry," which is funded by Innovate UK, and "Operation Technology - Platform as a Service (OT-PaaS)," which is funded by industry. In the past, he has worked on multiple projects related to safety and reliability, such as "Next Gen Drive - Autonomous Robotic Micro Factories," a project funded by Innovate UK, "Model-based Reliability Evaluation for Autonomous Systems with Evolving Architectures," a project funded by the University of Bradford, and "Dependability Engineering Innovation for Cyber-Physical Systems (DEIS)," a project funded by the EU.

Sohag is a highly accomplished researcher who has made remarkable contributions to his field of study. With over 70 scientific papers published and a solid track record of presenting at various national and international conferences, he has established himself as a leader in his area of expertise. His name has been included in Stanford University's World's Top 2% Scientists List (2023), which is a testament to his outstanding work. His exceptional research work and publications have earned him the Research Development Fund Publication Prize Award from the University of Bradford, as well as the Research Excellence Award from the University of Hull. 

More information about Dr Sohag's teaching and research activities can be found on his personal website

Research

Model-based Software and System Engineering
Safety assurance of cyber physical system
Dependability analysis of autonomous systems 
System safety and security analysis
Probabilistic safety and reliability analysis
Bayesian networks
Fault diagnosis
Decision making under uncertainty
Internet of Things

Publications

  • Reliability Assessment of IoT-enabled Systems using Fault Trees and Bayesian Networks

    Alhassan Abdulhamid, Sohag Kabir, Ibrahim Ghafir, and Ci Lei (2024) 5th International Conference on Advances in Distributed Computing and Machine Learning (ICADCML).

  • Sequential Pattern Mining: A Proposed Approach for Intrusion Detection Systems

    Moemedi Lefoane, Ibrahim Ghafir, Sohag Kabir, Irfan-Ullah Awan (2023) The 7th International Conference on Future Networks & Distributed Systems.

  • Machine Learning for Malware Detection in Network Traffic

    Ayorinde Henry Omopintemi, Ibrahim Ghafir, Shadi Eltanani, Sohag Kabir, Moemedi Lefoane (2023) The 7th International Conference on Future Networks & Distributed Systems.

  • Latent Dirichlet Allocation for the Detection of Multi-Stage Attacks

    Moemedi Lefoane, Ibrahim Ghafir, Sohag Kabir, Irfan-Ullah Awan (2023) The 24th International Arab Conference on Information Technology.

  • Qualitative Failure Analysis of IoT-enabled Industrial Fire Detection and Prevention System

    Md Mokhlesur Rahman, Alhassan Abdulhamid, Sohag Kabir (2023) 26th International Conference on Computer and Information Technology (ICCIT).

  • Failure Analysis of IoT-based Smart Agriculture System: Towards Sustainable Food Security

    Md Mokhlesur Rahman, Alhassan Abdulhamid, Sohag Kabir, Prosanta Gope (2023) 5th International Conference on Sustainable Technologies for Industry 5.0 (STI).

  • Developing Dependable IoT Systems: Safety Perspective

    Alhassan Abdulhamid, Sohag Kabir, Ibrahim Ghafir, and Ci Lei (2023) The UNIfied Conference of DAMAS, IncoME and TEPEN Conferences.

  • Adaptation of Model Transformation for Safety Analysis of IoT-based Applications

    Alhassan Abdulhamid, Sohag Kabir, Ibrahim Ghafir, and Ci Lei (2023) The UNIfied Conference of DAMAS, IncoME and TEPEN Conferences.

  • Combining Drone-based Monitoring and Machine Learning for Online Reliability Evaluation of Wind Turbines

    Sohag Kabir, Koorosh Aslansefat, Prosanta Gope, Felician Campean and Yiannis Papadopoulos (2022) IEEE International Conference on Computing, Electronics & Communications Engineering. N/A

  • Analytical Reliability-based Investment and Operation Model for Post-Failure Network Reconfiguration

    J. A. Marquez, M. A. A. Al-Ja’Afreh, G. Mokryani, S. Kabir, F. Campean, C. Dao, and S. Riaz (2022) International Conference on System Reliability and Safety (ICSRS).

  • Challenges with Providing Reliability Assurance for Self-Adaptive Cyber-Physical Systems

    S. Riaz, S. Kabir, F. Campean, G. Mokryani, C. Dao, J. A. Marquez, and M. A. A. Al-Ja’Afreh (2022) International Conference on System Reliability and Safety (ICSRS).

  • DDI: A Novel Technology And Innovation Model for Dependable, Collaborative and Autonomous Systems

    E. Armengaud, D. Schneider, J. Reich, I. Sorokos, Y. Papadopoulos, M. Zeller, G. Regan, G. Macher, O. Veledar, S. Thalmann, and S. Kabir (2021) Design, Automation and Test in Europe Conference.

  • Machine Learning for Botnet Detection: An Optimized Feature Selection Approach

    Moemedi Lefoane, Ibrahim Ghafir, Sohag Kabir, Irfan-Ullah Awan (2021) The 5th International Conference on Future Networks & Distributed Systems (ICFNDS 2021). N/A