Biography

Dr. Ahsan Raza Khan is a Lecturer in Electrical and Electronic Engineering at the University of Hull. He previously served as a Research Associate at the University of York on the EPSRC-funded CHEDDAR Hub, advancing innovations in AI, cloud computing, wireless networks, and digital twins for energy-efficient and privacy-preserving systems. He completed his PhD at the James Watt School of Engineering, University of Glasgow, focusing on federated learning for next-generation wireless networks and smart grid applications. With over 30 peer-reviewed publications in leading venues such as IEEE Transactions, WCNC, and PIMRC, Dr. Khan has established himself as an expert in distributed AI.

Research Expertise

Biography

Dr. Habib Ullah Manzoor is a Research Assistant and recent Ph.D. graduate in Applied Artificial Intelligence from the University of Glasgow, where his thesis "Securing Intelligent Networks: Federated Learning for Privacy-Preserving Anomaly Detection" was supported by a competitive global fellowship. With over 10 years of experience spanning academia and industry, Dr. Manzoor specializes in machine learning, deep learning, federated and distributed learning, and cyber-secure AI systems. He currently serves as a KTP Associate, applying LLMs for automation in the construction industry. His research includes real-time mobile deepfake detection systems and IoT/AI-driven deforestation monitoring platforms.

Research Expertise

Biography

Dr. Fahad Ayaz is a Postdoctoral Research Fellow at the University of the West of Scotland (Paisley Campus). He recently completed his PhD in Artificial Intelligence, focusing on privacy-preserving, edge-optimized radar-based human activity recognition and its integration with IoT-enabled smart sensing systems. Dr. Ayaz currently contributes to the multi-collaborative WEATHER Project, developing AI-driven early health warning systems. His research integrates IoT-based smart sensing with multimodal AI models to predict health risks linked to extreme weather events, delivering scalable, interpretable, and community-focused decision-support tools.

Research Expertise

Biography

Dr. Iftikhar Ahmad is a Research Fellow in Satellite Navigation at Cranfield University and a Royal Academy of Engineering endorsed Global Talent. He earned his Ph.D. in Electronics and Electrical Engineering from the University of Glasgow, M.S. in Software Engineering from COMSATS University Islamabad, and B.S. in Computer Science from the University of Malakand. His research expertise encompasses machine learning, AI-driven wireless communication, UAV systems, and intelligent sensing, with publications in prestigious journals including Computer Networks (Elsevier), IEEE Access, and Frontiers in Communications and Networks.

Research Expertise

Biography

Dr. Mohammad Al-Quraan (Graduate Student Member, IEEE) is a Postdoctoral Research Assistant in Autonomous Systems and Connectivity at the James Watt School of Engineering, University of Glasgow. He received his B.Sc. (Hons) in Telecommunications Engineering and M.Sc. (Distinction) in Wireless Telecommunications Engineering from Yarmouk University, Irbid, Jordan, in 2011 and 2019, respectively, and completed his Ph.D. at the University of Glasgow in 2024. From 2012 to 2018, he served as a Senior Network and Telecommunications Engineer at Jordan University of Science and Technology (JUST), subsequently holding the position of Head of the Network and Telecommunications Department until 2020. He has been recognized with the Exemplary Reviewer Award from IEEE Communications Letters. His research interests encompass machine learning, computer vision, cognitive radio, and beyond 5G wireless technologies.

Research Expertise

Biography

Dr. Sara Khosravi is a Postdoctoral Researcher at the University of Glasgow's James Watt School of Engineering, specializing in wearable technology, affective computing, and educational innovation within STEM fields. She holds a B.Sc. in Management (2013), M.Sc. in International Business and Economics from the University of Pavia (2016), and completed her Ph.D. in Engineering Education at the University of Glasgow (2025). Her interdisciplinary research explores how emerging technologies such as biofeedback, extended reality (XR), and eye-tracking can enhance student engagement and learning outcomes in higher education. With a strong background in human-computer interaction, Sara's work investigates innovative teaching and learning methods in engineering education, contributing to both academic advancement and practical applications in digital education and health-focused wearables.

Research Expertise

Biography

Ubaid Ahmed is a PhD researcher at the University of Glasgow, specializing in Multimodal Agentic AI frameworks. He completed his M.Sc. (2023) and B.Sc. (2021) at Mirpur University of Science and Technology, where he also contributed as a Research Assistant to an international collaboration with Qassim University, Saudi Arabia. His expertise spans sequential data processing, spiking neural networks, federated learning, deep learning, and gradient boosting algorithms. His research has been published in top-tier venues including Nature Scientific Reports, IEEE, Elsevier, and Springer journals.

Research Expertise

Biography

Basim Alhumaily is a faculty member at Qassim University, Saudi Arabia, currently pursuing his PhD in Electronics and Electrical Engineering at the University of Glasgow. He earned his M.Sc. from the University of Washington, Seattle, bringing international research experience. His research uniquely combines radar hardware design, efficient signal processing, and optimized deep learning for human monitoring applications. He develops non-invasive IoT smart-sensing pipelines that transform radar echoes into meaningful patterns for vital-sign estimation and behavioral activity recognition, emphasizing models suitable for real-time, low-power deployment.

Research Expertise

Biography

Chen Ao is a PhD researcher at the University of Glasgow, specializing in secure and robust federated learning frameworks integrated with computer vision. He holds a Master's degree in Computing and IT Management from Cardiff University. Prior to his doctoral studies, Chen gained professional experience developing AI agents and intelligent systems for various organizations, bringing practical industry insights to his academic research. His work addresses critical challenges in model robustness, attack and defense strategies, and the practical deployment of federated learning in next-generation wireless and edge-AI environments.

Research Expertise

Biography

Saja Al Ani is a PhD student in the EPSRC Centre of Doctoral Training in Future Ultrasonic Engineering (FUSE) at the University of Glasgow, joining in 2021. She holds a B.Sc. in Information Technology and an M.Sc. in E-learning Technology from the University of Hertfordshire. Her research addresses the critical gap in technological support for Speech and Language Therapy (SLT), focusing on developing machine learning approaches to classify tongue shapes in children with cleft lip and palate using medical ultrasound imaging. This innovative work combines ultrasonic engineering with AI to provide automated analysis of speech disorders, with potential applications in both clinical assessment and measuring therapeutic intervention progress. Her research aims to make ultrasound-based speech analysis accessible to clinicians without requiring specialist training in speech science.

Research Expertise

Biography

Zhihao Zeng is a PhD student in Electronics & Electrical Engineering jointly trained by the University of Glasgow and the University of Electronic Science and Technology of China (UESTC). He received his B.S. degree in Network Engineering (2019) and M.S. degree in Information and Communication Engineering (2022) from UESTC, Chengdu, China. His research interests lie at the intersection of federated learning, edge learning, and privacy-preserving machine learning, with recent focus on Large Language Models (LLMs). His work contributes to developing distributed optimization algorithms and edge computing solutions that enable efficient and privacy-aware machine learning at scale. Through his joint doctoral program, he brings together expertise from both Chinese and UK research traditions, advancing the state-of-the-art in privacy-preserving distributed AI systems.

Research Expertise

Biography

Zhang Shuo is a PhD researcher in Electronics and Electrical Engineering at the University of Glasgow. He earned his Bachelor's degree in Communication Engineering from the University of Electronic Science and Technology of China (UESTC) and his Master's degree in Software Development from the University of Glasgow. His doctoral research focuses on developing advanced multimodal AI agentic systems that integrate large language models, vision-language understanding, and adaptive learning mechanisms. His work aims to create intelligent, context-aware agents capable of autonomous reasoning, personalized human-AI interaction, and dynamic knowledge integration across multiple domains and modalities.

Research Expertise

Biography

Fan Zhe is a PhD researcher at the University of Glasgow. He earned his Bachelor's degree in Electronic Information Engineering from the University of Electronic Science and Technology of China (UESTC). During his undergraduate studies, Fan worked on an innovative project involving physics-informed neural networks for predicting metal fatigue life. His research centers on multimodal AI agents with applications in education and human activity recognition. His work explores how intelligent agents can understand and respond to human behaviors across multiple sensory modalities, with particular emphasis on developing systems that can enhance educational experiences and accurately recognize complex human activities.

Research Expertise

Biography

Alaa Adnan Bibi is a PhD candidate in Electrical and Electronics Engineering at the University of Glasgow's James Watt School of Engineering, having commenced his studies in November 2022 with an anticipated graduation in 2026. Born in Iraq, he holds a B.Sc. in Electronic and Communication Engineering (2005) and M.Sc. in Communication Engineering (2013) from the University of Technology, Baghdad. Since November 2012, Alaa has served as a Network Security Consultant for ZERO ONE IRAQ, accumulating over a decade of hands-on experience in critical IT infrastructure, cybersecurity protocols, backup systems, disaster recovery planning, wireless technology, and satellite communications. His research focuses on the future of wireless communications, specifically addressing technical challenges in emerging 6G technologies including Extra Large Reconfigurable Intelligent Surfaces (XL-RIS), millimeter wave communication, vision-aided networking, and efficient resource allocation. He also serves as a Graduate Teaching Assistant for the "6G for a Connected Future" specialization on Coursera, successfully bridging theoretical research with practical real-world applications.

Research Expertise

Biography

Dr. Sanaullah Manzoor is an Assistant Professor at Glasgow Caledonian University with over 15 years of combined experience in academia, research, and industry. He previously served as a Postdoctoral Research Fellow at the University of the West of Scotland (January 2023–August 2024) and held industry roles as Data Science Manager and Principal Data Scientist, designing machine learning solutions for supply chain optimization and AI-based financial platforms. He holds a Ph.D. from the Information Technology University, Lahore, Pakistan, an M.S. in Computer Systems/Distributed Systems from GIKI, and a B.Sc. in Computer Engineering from Bahauddin Zakariya University. Dr. Manzoor is a recipient of the UK's Global Talent award in Computing and Data Science (2023) and is a registered computer engineer with the Pakistan Engineering Council. His research focuses on AI-based network management, 5G/6G networks, healthcare monitoring, spatiotemporal time-series modeling, and federated learning applications, with over 30 research papers published in journals and conferences.

Research Expertise

Biography

Dr. Ali Javed is an Associate Professor in the Department of Software Engineering at UET Taxila, Pakistan, and Director of the Multimedia Signal Processing (MSP) Lab. He completed his Postdoctoral research at Oakland University, Michigan, USA (2019), and earned his Ph.D. in Computer Engineering from a split program between UET Taxila and the University of Michigan-Dearborn (2016), focusing on event-driven video summarization for sports. He holds an M.S. in Computer Engineering (Chancellor's Gold Medal, perfect 4.0 CGPA, 2010) and B.Sc. in Software Engineering (3rd position, 2007) from UET Taxila. Recognized as a Top 2% Scientist Worldwide by Stanford University and Elsevier in AI, Image Processing, and ICT, he is a Senior Member of IEEE and has been a Visiting Professor at the University of Glasgow. His research expertise lies at the intersection of artificial intelligence, computer vision, and signal processing, with focus on multimedia forensics, medical image processing, deepfake detection, and video content analysis. He has secured significant research funding from entities including the Punjab HEC and National ICT R&D Fund.

Research Expertise