جستجوی استاد راهنمای دانشگاهی

Dr. Nagham Saeed is an Associate Professor in Electrical and Electronic Engineering at the School of Computing and Engineering, University of West London, where she has been actively engaged in teaching and research since 2007. She holds a PhD in Intelligent MANET Optimisation from Brunel University and leads the Industrial Internet of Things (IIoT) research group. Her academic service includes editorial and technical committee roles for IEEE and MDPI, and she is a Chartered Engineer (CEng), Senior Member of IEEE, Member of IET, and Senior Fellow of the Higher Education Academy (HEA). PhD in Intelligent MANET Optimisation System, Brunel University (2011) Her research focuses on intelligent systems for smart cities, applying artificial intelligence to telecommunications, energy modeling, and industrial applications. She explores AI-driven optimization in next-generation networks, smart grid integration, battery management systems, and sustainable ICT. Her work also extends to engineering education, particularly feedforward teaching methods and student engagement. The recent publications reveal a strong trend in applying AI and machine learning to solve real-world challenges in energy systems, IoT, transportation, and environmental sustainability, often with a focus on smart cities and renewable integration. Dr. Saeed has been recognized with several awards, including: 2021 University of West London Student Union Best Supervisor/Tutor Award 2022 IEEE Region 8 Outstanding Women in Engineering Section Volunteer Award She mentors early-career engineers and academics and actively promotes electrical and electronic engineering among young girls. She has served as the 2023 IEEE Women in Engineering UK & Ireland Chair and is currently the Vice Chair (Chair-Elect) for the IEEE UK & Ireland Section (2024–2025). Her leadership spans technical innovation, academic service, and diversity advocacy in engineering. She teaches across a range of programs, including MSc Industrial Internet of Things, BEng and MSc Electrical and Electronic Engineering, and supervises PhD research in related fields.

• Electrical and Electronic Engineering
• Industrial Internet of Things (IIoT)
• Artificial Intelligence in Engineering
• +۹ مورد دیگر

Dr. Hafizul Asad serves as a Lecturer in Dependability at City St George's, University of London, leveraging his PhD in Electrical Engineering (City University of London, 2016) and MS in Aerospace Engineering (University of Belgrade, 2008) to advance cybersecurity and formal verification research. His expertise bridges critical infrastructure protection and cyber-physical systems security, with significant contributions to IoT/IIoT security frameworks. His educational journey includes: PhD in Electrical Engineering, City, University of London (2012-2016) MS in Aerospace Engineering, University of Belgrade, Serbia (2007-2008) BSc in Electrical and Electronics Engineering, University of Engineering and Technology Peshawar, Pakistan (1999-2003) Asad's research centers on formal verification of hybrid systems and verifiable intrusion detection mechanisms for interconnected environments. He pioneers provably robust security architectures for IoT/IIoT systems, emphasizing mathematical verification to ensure system resilience against cyber threats. His work integrates diversity principles to create defense-in-depth strategies for critical infrastructure, with recent focus on wind turbine cyber-safety and industrial control system protection. Analysis of his 15 most recent publications (2014-2025) reveals an evolution from aerospace applications and analog circuit verification toward cutting-edge cybersecurity for cyber-physical systems. His 2023-2025 work demonstrates increasing specialization in IoT security and formal methods, while maintaining foundational contributions to diversity-based security architectures established in his 2015-2018 research. No scientific awards or prizes are documented in the provided materials, though he maintains professional standing as a British Computer Society member and Higher Education Academy Associate Fellow. Details regarding doctoral student supervision or specific research grants are not disclosed in the source text. His professional trajectory indicates significant project involvement, including the D3S security project at City University of London (2015-2018) and Rolls-Royce-funded Future Systems Simulator development at Cranfield University (2018-2019), though current laboratory affiliations remain unspecified.

• Formal Verification
• Hybrid Systems
• Intrusion Detection Systems
• +۵ مورد دیگر

Mohammad Kamrul Hasan is an Associate Professor and Head of the Network and Communication Technology Research Lab at the Center for Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM). He holds a Ph.D. in Electrical and Communication Engineering from the International Islamic University Malaysia (IIUM) and has over a decade of prior industry experience in communication systems and network design. He has held academic positions at Universiti Malaysia Sarawak and IIUM, and is currently active in research and leadership at UKM. Ph.D. in Engineering (Electrical and Computer Engineering), International Islamic University Malaysia, 2016 M.Sc. in Communication Engineering, International Islamic University Malaysia, 2012 His research focuses on cutting-edge areas in network and communication technologies. Key interests include Wireless Communication and Network Security , Industrial Internet of Things (IIoT) , Cyber-Physical Systems , 5G and Beyond (6G) Networks , Smart Grids , and AI-driven security . He explores machine learning, federated learning, blockchain, and optimization algorithms to enhance network resilience, privacy, and efficiency in critical infrastructure and consumer electronics. His recent publications (2023–2025) demonstrate a strong trend toward intelligent and secure next-generation networks. Topics include intrusion detection in IIoT, passwordless authentication, federated learning for healthcare IoT, 6G security, and digital twins for SCADA systems. His work is frequently published in high-impact IEEE and Springer journals, reflecting a consistent and influential research output. Gold Medal for research excellence Young Scientist Award Fulbright Scholarship (Ministry of Higher Education Malaysia) Senior Member, IEEE (since 2013) Member, Institution of Engineering and Technology (IET) Member, Internet Society Dr. Hasan has served as an editorial member for prestigious journals including IEEE, IET, and Elsevier. He has led funded research projects such as the design of a two-way wireless communication system for medium-voltage electrical networks at Universiti Malaysia Sarawak. He has mentored students and collaborated widely, with co-authors from Malaysia and international institutions. He has also contributed to professional service as Chairperson of the IEEE IIUM Student Branch and as a peer reviewer for over 13 journals including Computer Networks , Internet of Things , and Soft Computing . He leads the Network and Communication Technology Research Lab at UKM, focusing on secure, intelligent, and scalable communication systems for smart cities, industry, and healthcare. His team works on AI-powered intrusion detection, blockchain for critical infrastructure, and privacy-preserving data fusion in IoT environments.

• Wireless Communication and Network Security
• Cyber Physical Systems
• Industrial Internet of Things
• +۸ مورد دیگر

Dr. Uchenna Daniel Ani is a Lecturer in Cyber Security at the School of Computer Science and Mathematics, Keele University. He leads the MSc Cyber Security programme and chairs the School Taught Programme Ethics Committee. Previously, he was a Senior Research Fellow at the PETRAS National Centre of Excellence for IoT Systems Cybersecurity at University College London (UCL), focusing on cybersecurity in critical infrastructure systems. Dr. Ani holds a PhD in Industrial Control System Cybersecurity from Cranfield University, UK, and degrees from the University of Bedfordshire. His research emphasizes socio-technical security analysis, cybersecurity risk assessment, and the intersection of technical solutions with human and policy factors. Key projects include 'Analytical Lenses for Internet of Things Threats' and 'Modelling for Socio-Technical Security,' collaborating with transport and water infrastructure organizations. His research interests span ICS/IoT Cybersecurity, security modelling/simulations, human-factor security, and digital forensics. He actively contributes to cybersecurity policy and standards development, advising on IoT-enabled infrastructure resilience. Dr. Ani is a Fellow of the Higher Education Academy and member of IET/ACM. Teaching includes modules on Human Factors of Cyber Security, Cryptography, and Cloud Computing. He advocates STEM education through mentoring and public engagement, including roles as a STEM Ambassador and IET Young Professional Ambassador.

• Cyber Security
• Industrial Control Systems (ICS)
• Internet of Things (IoT)
• +۶ مورد دیگر

Jawad Ahmad is a Lecturer in the School of Computing, Engineering and the Built Environment at Edinburgh Napier University . His work is closely associated with the Centre for Cybersecurity, IoT and Cyberphysical Systems and the Centre for Distributed Computing, Networking and Security , where he contributes to cutting-edge research in secure and intelligent systems. His research interests are centered on cybersecurity , artificial intelligence , and Internet of Things (IoT) technologies. He focuses on developing advanced intrusion detection systems, privacy-preserving frameworks using federated learning and homomorphic encryption, and secure data transmission mechanisms leveraging chaos-based and quantum-inspired encryption. His interdisciplinary work extends to healthcare, smart agriculture, and environmental monitoring, demonstrating the broad applicability of his research. The analysis of his recent publications reveals a strong trend toward AI-driven security solutions, particularly using deep learning models like transformers and attention mechanisms for network intrusion detection. He also explores the integration of machine learning with blockchain and distributed ledgers for trusted threat intelligence sharing. His work consistently emphasizes real-world deployment, performance optimization, and resilience against cyber threats in industrial and healthcare settings. Funded Research Projects: Data Sharing in Highly Secure Environments (Innovate UK, £273,181) PhD Studentship on Homomorphic Encryption (6G Health Institute GmbH, £35,082) TrustShare: Privacy-Preserving Threat Intelligence Sharing (Innovate UK, £31,386) Cyber Hunt: Automated Cyberthreat Hunting (Norway Research Council, £37,500) AI Dashboard for COVID-19 Sentiment Analysis (Chief Scientists Office, £135,104) Dr Ahmad actively supervises postgraduate research, currently serving as Director of Studies for Hisham Ali and as second supervisor for other PhD candidates. He is involved in multiple collaborative research teams focusing on cybersecurity, AI, and IoT, often working with Prof Bill Buchanan and other leading researchers in the field. His research is published in high-impact journals such as IEEE Access , Frontiers in Computational Neuroscience , and Sensors , and presented at international conferences.

• Cybersecurity
• Internet of Things (IoT)
• Artificial Intelligence (AI)
• +۱۲ مورد دیگر

Dr. Wanpeng Li is a Lecturer in Cyber Security within the Department of Computer Science at the University of Liverpool. Prior to this role, he held lecturer positions at the University of Aberdeen and Manchester Metropolitan University, and worked as a postdoctoral researcher at City, University of London. His research focuses on critical areas in cyber security including web security, identity management, authentication mechanisms, and malware detection using machine learning. Research Trends: His recent publications span both cyber security and mathematical modeling domains. Key security themes include automated vulnerability detection, federated learning attacks, and privacy-preserving protocols for vehicular networks and IIoT systems. Parallel studies in grey system models explore energy consumption forecasting and environmental impact analysis using fractional calculus and neural network integrations. Advising: Dr. Li actively accepts PhD students in cyber security-related fields.

• Web Security
• Identity Management
• System Security
• +۳ مورد دیگر

Professor Andrew Mills holds the position of Professor of Innovation in Aerospace Systems Monitoring and Control at the School of Electrical and Electronic Engineering, University of Sheffield. He also serves as Deputy Director of the Control, Monitoring and Systems University Technology Centre (UTC), focusing on industry and research council-funded projects. His work emphasizes applied research in aerospace, including sensing solutions, health monitoring, and control systems for gas turbines. He collaborates closely with Rolls-Royce and coordinates PhD/MSc projects to bridge academic and industrial research. Education : MEng (Engineering), Chartered Engineer (CEng) from the University of Sheffield. Research Interests : Gas Turbine Health Monitoring Embedded Systems in Extreme Environments Fleet Monitoring Algorithms Vision-Based Sensing Systems Thermal System Control Laws Prognostics and Health Management (PHM) Grants & Projects : Lead Investigator (PI) and Co-Investigator (CI) on grants such as: "Advanced Intelligent EHM" (TSB HITEA II, 2014–2017) "Wireless Sensing for Monitoring" (Rolls-Royce, PI, 2013–2015) "Autonomous Intelligence for Civil UAS" (Rolls-Royce, PI, 2012–2013) Labs & Teams : Leads the Control, Monitoring and Systems UTC, fostering collaboration between academia and industry for aerospace innovation.

• Aerospace Systems
• Control Systems
• Health Monitoring
• +۷ مورد دیگر

Dr. Haitham Cruickshank is a Professor at the University of Surrey, affiliated with the Institute for Communication Systems within the School of Computer Science and Electronic Engineering. His expertise spans cybersecurity, IoT, vehicular networks, blockchain, and delay-tolerant networking. He holds a PhD, MSc, and BSc in relevant disciplines. His research focuses on enhancing security and privacy in emerging technologies such as smart grids, 5G-IIoT, and vehicular communication systems. He has extensively explored federated learning, intrusion detection systems, and blockchain-based solutions for privacy preservation and authentication. Recent work includes secure battery swapping protocols and mesh connectivity for smart meters. His publications reflect a strong emphasis on practical applications of theoretical concepts, addressing challenges in distributed networks, edge computing, and hybrid satellite-terrestrial systems. Collaborations with industry and academia highlight his commitment to bridging research and real-world implementation. Key contributions include frameworks for secure key management, trust models in disaster communication networks, and QoS optimization in heterogeneous networks. His work often integrates interdisciplinary approaches to tackle complex security and efficiency challenges in modern communication systems.

• Cybersecurity
• Internet of Things (IoT)
• Vehicular Communication Networks
• +۶ مورد دیگر

Rajarajan, M. is a Professor at City, University of London , specializing in Cybersecurity , Blockchain Technology , and Internet of Things (IoT) Security . His research focuses on secure access control, privacy-preserving systems, and risk assessment in cloud and smart grid environments. Research Interests : Blockchain for IoT and IIoT Smart Grid Security and Pricing Models Privacy-Preserving Machine Learning Cloud Computing Risk Assessment DDoS Attack Mitigation Biometric and Continuous Authentication Article Trends : 2023: Blockchain for IoT access control, dynamic cloud risk models, ransomware detection 2022: Smart grid security, DDoS propagation, privacy in autonomous vehicles 2021: Post-quantum cryptography, decentralized identity frameworks 2020: Microgrid pricing, IoT message broker transparency Key Collaborators : Smith-Creasey, M. (IoT Authentication) Tahir, S. (Privacy in IoT) Acarali, D. (Smart Grid Security) Boiarkin, V. (Energy Grid Pricing)

• Cybersecurity
• Blockchain Technology
• Internet of Things (IoT)
• +۵ مورد دیگر

Fuhu Che is a Lecturer in Electronic and Electrical Engineering at the Department of Engineering, School of Computing and Engineering, University of Huddersfield, United Kingdom. His research focuses on advanced wireless technologies, particularly in ultra-wideband (UWB) systems, indoor positioning, and industrial IoT applications. Research Interests Indoor Positioning Systems UWB Error Correction NLoS Classification Machine Learning for Wireless Networks Intelligent Reflecting Surfaces for 5G In the last five years, Che has published 10 research outputs, including 5 articles, 3 conference contributions, and 1 review. His work on UWB and IIoT has garnered significant attention, with 81 Scopus citations for the 2022 review on IRS for 5G and 58 citations for his 2022 article on Gaussian distribution methods. Che actively collaborates on international projects, contributing to UN Sustainable Development Goals (SDGs) through innovations in IoT and wireless technologies. His publications from 2020 to 2024 demonstrate consistent advancements in positioning accuracy and error correction techniques. Contact: F.Che@hud.ac.uk

• Indoor Positioning Systems
• Ultra-wideband (UWB)
• Bandwidth
• +۴ مورد دیگر

Dr. Joy Eze is a Lecturer in Computer Science at the Department of Computing, Goldsmiths, University of London. She holds a PhD in Applied Computing from the University of Bedfordshire (2021). Her research focuses on interdisciplinary applications of machine learning, data science, and health technology, with notable contributions to IoT cybersecurity, smart supply chain management, and vehicular networks. Key publications include work on AI-driven temperature control for perishable foods, 5G/6G-enabled Internet of Vehicles, and vulnerability detection in industrial IoT systems. She has presented at international conferences such as DASA 2024 and ITED 2022.

• Machine Learning
• Internet of Things (IoT)
• Telecommunications
• +۳ مورد دیگر

Dr. Seyed Ahmad Soleymani is a Research Fellow at the University of Surrey's Institute for Communication Systems and part of the 5G/6G Innovation Centre. His research focuses on cybersecurity, edge computing, IoT, UAV systems, and 5G/6G networks. He has contributed to secure authentication protocols for medical and industrial IoT systems, UAV-assisted edge computing optimization, and multi-target tracking algorithms using Q-learning. His work emphasizes energy efficiency, data security, and real-time applications in smart manufacturing and vehicular networks. Research interests include secure communication in UAV networks, sustainable edge node deployment, and privacy-preserving authentication schemes. He has explored applications such as flood forecasting via UAV-assisted sensors and energy-efficient building systems. His publications span IEEE journals and conferences, addressing challenges in edge computing resource allocation, intrusion detection systems, and trust management in 5G-IIoT environments. Collaborations involve institutions like the University of Electronic Science and Technology of China and Universiti Teknologi Malaysia. Notable contributions include the MI3SE encryption scheme for outdoor IIoT devices and the TRUTH trust scheme for 5G industrial IoT. His work combines machine learning (e.g., SAC, Q-learning) with network optimization to address latency, security, and scalability in modern communication systems. He has also developed frameworks for cybertwin-based 6G networking and secured target tracking in O-RAN environments.

• Cybersecurity
• Edge Computing
• Internet of Things (IoT)
• +۳ مورد دیگر

Dr. Muhammad Habib Ur Rehman is a Senior Lecturer in Computer Science at the University of Bedfordshire's Faculty of Creative Arts, Technologies & Science, within the School of Computer Science and Technology. His research focuses on federated learning in healthcare, blockchain technologies, privacy-preserving AI, and distributed systems. He holds a PhD in Distributed Computing (2017) and has expertise in teaching programming, artificial intelligence, and distributed systems. Research Interests : Federated Learning for Medical Imaging and Healthcare Decentralized AI and Blockchain Integration Privacy-Enhancing Technologies (PETs) Edge Computing and IoT Security Publications : Over 40 peer-reviewed articles on federated learning frameworks, blockchain applications, and IoT security. Notable works include: Privacy-preserving federated learning for radiology Blockchain-based trust systems for cryptocurrencies Edge computing solutions for smart cities Affiliations : Senior Member of IEEE. Active in research institutes like the Institute for Research in Applicable Computing (IRAC). Contact : muhammadhabibur.rehman@beds.ac.uk

• Federated Learning
• Decentralized AI
• Blockchain Technology
• +۴ مورد دیگر

Professor Jorn Mehnen is a leading academic in Advanced Digital Manufacturing at the University of Strathclyde, affiliated with the School of Design, Manufacturing and Engineering Management and the Advanced Manufacturing and Materials Design Research Group. His work focuses on Industry 4.0 technologies, Cyber-Physical Systems, and Smart Manufacturing solutions. He holds a Doctor of Engineering and Master's in Computational Mathematics. Previously, he served as Reader at Cranfield University (2007–2017) and Privatdozent at Dortmund University of Technology (2004–2006). Research interests include Additive Manufacturing, Data Analytics, and IoT-enabled systems. He has supervised 8 students and led 33 projects, including EPSRC HVM Catapult Fellowships and EU-funded initiatives. Awards include the 2025 AI & Robotics Best Research Paper and the 2025 CeeD Industry Award. Key contributions span Cloud Manufacturing frameworks, defect analysis via thermography, and secure IoT integration for legacy machinery. His work addresses sustainability (UN SDG 9) through high-value manufacturing innovations and Through-Life Engineering Optimization.

• Advanced Digital Manufacturing
• Industry 4.0
• Cyber-Physical Systems
• +۱۰ مورد دیگر

Arslan Shafique is a Research Fellow at the University of Glasgow affiliated with the Autonomous Systems & Connectivity research group. His work focuses on developing secure communication frameworks for emerging technologies in healthcare, automotive, and industrial systems. His core research areas include: Cryptography Internet of Things (IoT) Wireless Communications Medical Imaging Security Machine Learning for Security Radar Signal Processing Analysis of his 2024-2025 publications reveals a strong emphasis on quantum-inspired and chaotic encryption techniques applied to medical telemedicine and automotive safety. His work consistently integrates machine learning to optimize security for resource-constrained IoT devices within 5G/6G networks, demonstrating practical solutions for real-world deployment challenges. No scientific awards were documented in the source material. Details regarding student supervision or research grants were not provided in the available information. He actively contributes to the Autonomous Systems & Connectivity team at the University of Glasgow, which specializes in advanced security solutions for next-generation autonomous communication systems.

• Cryptography
• Internet of Things (IoT)
• Wireless Communications
• +۳ مورد دیگر