Find Academic Supervisors

Iain John BateView profile

Lecturer

• Scheduling and Timing Analysis
• Real-Time Systems
• Systems Engineering
• +4 more

Iain Bate is a Lecturer in Real-Time Systems and Head of the Department of Computer Science at the University of York. His research focuses on scheduling and timing analysis, systems engineering with optimization of design trade-offs, design assurance, component-based engineering, and managing emergent behavior, particularly in critical systems. University of York, Department of Computer Science Research areas: Real-Time Systems, Mixed-Criticality Scheduling, Multi-Core Architecture Departmental Roles: Head of Department, Research Group Lead (Real-Time Systems) His recent research explores cache-aware scheduling, fault tolerance, and resource stress management in multi-core environments. He has contributed to journals like Microprocessors and Microsystems as an editor and collaborated on projects funded by EPSRC and industry partners such as Rolls Royce. He actively supervises PhD students and leads research initiatives related to wireless sensor networks, task allocation, and system certification for critical applications.

Rashid AliView profile

Assistant Professor

• Autonomous Systems
• Control Theory
• Aircraft Design
• +4 more

Rashid Ali is an Assistant Professor at CEES School of Engineering, specializing in Autonomous Systems and Control Theory with a focus on Unmanned Aerial Vehicles (UAVs). His research integrates advanced control systems, energy storage solutions, and aerodynamics to enhance UAV performance and safety. He holds a Doctorate in Aeronautical Engineering from Loughborough University and a Postgraduate Certificate in Teaching from the University of Hertfordshire. Education/Academic Qualifications: Doctorate in Aeronautical Engineering (1983–1987), Loughborough University Postgraduate Certificate in Teaching & Learning (2006), University of Hertfordshire Bachelor's in Aeronautical Engineering (1978–1982), Loughborough University Research Interests include: Autonomous Systems and UAV Flight Control Propulsion and Energy Storage for Unmanned Aircraft Advanced Kalman Filter Applications in DSP Aerodynamics of Sniper Bullets and Wind Turbines His work emphasizes interdisciplinary collaboration across propulsion, avionics, and structural engineering to advance autonomous aviation technology. Key Research Trends: Recent articles focus on high-altitude UAV fuel systems, parametric cost models for aircraft design, and multi-point angle-of-attack sensing for flight safety. Collaborations span energy storage, environmental impact analysis, and mobile technology for rural applications. Scientific Awards: 2018 Faculty of Engineering and Computing & Maths Intellectual Property Competition Advising & Grants: Currently accepting PhD students and leading projects like the Skyfarer IUK Project (2020) on UAV technology. Active in the IMechE UAS Steering Committee, promoting standards for unmanned aerial systems. Labs/Teams: Engaged in cross-disciplinary research groups focusing on UAV design, control systems, and renewable energy integration. His work bridges academic innovation with industry applications in aerospace and energy sectors.

• Software System Quality
• Software Architecture Design and Evaluation
• Software Visualization and Reverse Engineering
• +8 more

Wilhelm Hasselbring is Professor of Software Engineering at the School of Electronics and Computer Science, University of Southampton. His research focuses on software system quality, architecture design, and distributed systems with emphasis on fault-tolerance and monitoring. Software System Quality Architecture Design and Evaluation Microservices and DevOps Digital Twins and Prototyping Open Science Practices Current research explores digital twin prototypes for smart farming applications, metamorphic testing methodologies, and scalable microservice architectures. His work bridges theoretical frameworks with industrial applications in middleware and cloud systems. Recent awards include the Ernst Denert Award for Software Engineering (2019-2020). Publications span topics from JavaBERT language models to MQTT bridge evaluations, emphasizing software visualization and reverse engineering techniques. Contact: W.Hasselbring@soton.ac.uk

Timothy DrysdaleView profile

Professor

• Remote Laboratories
• Engineering Education
• Electromagnetics
• +2 more

Timothy Drysdale is Professor and Chair in Technology Enhanced Science Education at the University of Edinburgh, where he directs the Remote Laboratories group and serves as Director of Strategic Digital Education. His practable.io platform revolutionizes laboratory education through aesthetically-designed remote experiments installed in campus foyers, saving physical space while enhancing accessibility. Research develops novel remote labs based on experiments likened to "science museum exhibits," integrating real-time equipment access via web interfaces. Additional work explores orbital angular momentum in radio communications. His £3M openEngineering Laboratory project received multiple honors including the Queen's Anniversary Prize and THE Digital Innovation Award. Global Online Laboratories Consortium Award (2024, 2018) Queen's Anniversary Prize (2024) Jisc Digital Transformation Award (2023) Guardian Teaching Excellence Award (2018) Teaches across undergraduate engineering programs and supervises doctoral projects in digital education innovation. Advocates for assessment transformation and generative AI integration in education.

• Parallel Programming
• Distributed Systems
• Functional Programming
• +3 more

Professor Phil Trinder is a Professor of Computing Science at the University of Glasgow's School of Computing Science. He leads the Glasgow Parallelism Group (GPG) and is a member of the Glasgow Systems Section (GLASS) and the Scottish Programming Languages Seminar (SPLS). His research focuses on parallel and distributed programming models, functional programming, and applications in computational algebra. Trinder holds a DPhil from Oxford University and has over 100 publications. He has led 12 major research projects as Principal Investigator and coordinated EU projects. Collaborations include Ericsson, Maplesoft, Microsoft, and Motorola. His work emphasizes scalable distributed systems, actor-based platforms, and reliable computation. Notable contributions include the SymGridPar framework for computational algebra and research on Erlang scalability. He also explores IoT architectures and tierless programming languages. Key projects include improving Erlang's network scalability and developing frameworks for exact combinatorial search (YewPar). He has supervised numerous researchers and contributed to high-performance systems like HPC-GAP.

Kavin NarasimhanView profile

Assistant Professor

• Complexity Science
• Computational Modelling for Public Policy
• Agent-based Modelling
• +5 more

Kavin Narasimhan is an Assistant Professor at the Centre for Interdisciplinary Methodologies (CIM) at the University of Warwick. His research focuses on complexity science and computational modelling for public policy, employing agent-based modelling and futures studies methodologies. He holds a PhD in Computer Science from Queen Mary University of London (2016) and a B.E. in Computer Science and Engineering from Anna University, India. He was awarded Fellow of The Higher Education Academy (FHEA) in 2021. Previously, he served as a Research Fellow at the University of Surrey’s Centre for Research in Social Simulation (CRESS) between 2015-2023. His teaching responsibilities include convening the IM939 module on Data Science principles and contributing to courses like IM952 (Big Data Research) and IM949 (Data Visualization in Policy). Key research grants include leadership roles in the CAPTURED project (2024-2025) exploring UK green economy transitions and co-investigator roles in ESRC-funded projects on AI and climate adaptation. His work emphasizes participatory methods for knowledge co-production with stakeholders and citizens. Recent publications highlight his contributions to climate policy adaptation, pandemic model engagement, and modular model frameworks like ESSA@work. His computational models address water governance (WATERING), energy demand practices (HOPES), and transboundary dam impacts. He actively engages in science communication through YouTube and public workshops, such as the 2021 ‘Empowering Communities to Fight Climate Change’ event. Professional recognition includes the NCRM Reproducibility Bursary (2022) and ESRC Policy Fellowship (2022). His research bridges computational methods with social science theory, aiming to inform equitable policy design through participatory and complexity-aware approaches.

• Laser Welding
• Additive Manufacturing
• Dissimilar Metal Joining
• +3 more

Dr. Sonia Martins Meco is a Senior Research Fellow at Cranfield University's Welding and Additive Manufacturing Centre , with expertise in laser processing and dissimilar metal joining. Her research bridges fundamental laser-material interaction studies with industrial applications for aerospace, automotive, and packaging sectors. Education: PhD in Dissimilar Metal Joining (Cranfield University), MSc in Mechanical Engineering (Instituto Superior Técnico, Portugal) Current Role: Project Manager for NEw Wire Additive Manufacturing (NEWAM) program developing high-deposition AM processes Key research contributions span thermal modeling, intermetallic compound analysis, and process optimization for steel-aluminium and magnesium-aluminium welds. Her work establishes parameter frameworks for defect-free, cost-efficient manufacturing. Recent publications focus on power factor models , 3D neutron imaging of weld microstructures, and pulsed laser applications. Current projects target: Developing continuous/pulsed wave laser welding protocols Wire-based Direct Energy Deposition systems Mechanical characterization of dissimilar joints Software for weld bead prediction in CMT/pulsed-MAG Scientific Awards: No specific awards mentioned in available data. Collaborations include industry leaders: BAE Systems PLC TRUMPF SE & CO KG Crown Packaging Airbus SE

Paul AnandanView profile

Researcher

• Artificial Intelligence
• Control Systems
• Robotics
• +3 more

Dr. Paul Anandan is a Researcher in the Department of Chemical Engineering at Loughborough University. His work focuses on AI-driven control systems, robotics, and modular manufacturing systems. He holds a PhD in Manufacturing Engineering (2014–2018) from Loughborough, following a Master’s in Mechanical Engineering (University of Greenwich, 2010) and a Bachelor’s in Electronics & Instrumentation (Anna University, 2008). His research integrates artificial intelligence with industrial processes, including reinforcement learning for crystallization control and automated robotic manufacturing cells. Key projects include replacing traditional PID/MPC controllers with AI methods and developing reliable modular assembly systems. Current work emphasizes dynamic reconfiguration of robotic cells using multi-sensor inputs and safety constraints, funded by EPSRC (EP/V051180/1 and EP/R032858/1). His publications span robotics, control theory, and modular systems, with a focus on practical applications in manufacturing. Research collaborations include industry partnerships to enhance process efficiency and automation.

Kai ChengView profile

Professor

• Precision Manufacturing
• Micro/Nano Manufacturing
• Sustainable Manufacturing
• +4 more

Professor Kai Cheng is a Chair Professor and Head of the Advanced Manufacturing & Enterprise Engineering Department at Brunel University London's College of Engineering, Design and Physical Sciences. With a PhD in Precision Manufacturing from Liverpool John Moores University (1994), he has held academic roles at Glasgow Caledonian University (Lecturer, 1995-1999), Leeds Metropolitan University (Reader/Professor, 1999-2006), and Brunel since 2006. Research areas: Precision Manufacturing, Micro/Nano Manufacturing, Sustainable Manufacturing, E-Manufacturing, High-Precision Machine Tools Editorial roles: European Editor of International Journal of Advanced Manufacturing Technology , Editorial Board member for 5 journals Professional memberships: Fellow of Institution of Engineering and Technology (IET), Fellow of Institution of Mechanical Engineers (IMechE) His recent publications focus on precision machining of composites, sustainable manufacturing systems, digital twin development, and vibration-assisted micro-machining. Collaborative work spans institutions in the UK, China, and Sweden with over 20 funded research projects in smart machining systems and sustainable manufacturing. Scientific Awards: Fellow of Institution of Engineering and Technology (IET), 2004 Fellow of Institution of Mechanical Engineers (IMechE), 2006 Research Grants include projects on ultraprecision machining tools, abrasive flow machining for aerospace components, micro-featured surface manufacturing, and closed-loop cooling systems, funded by EPSRC, European Commission, and industry partners.

• Parallel Programming
• Communicating Sequential Processes
• Software Systems
• +4 more

Professor Jon Kerridge is a distinguished academic at the School of Computing, Edinburgh Napier University, where he has made significant contributions to parallel programming, software systems, and database applications. With a career spanning several decades, he has published extensively in the field of computer science and has supervised numerous PhD students. BSc, MSc, PhD Fellow of the British Computer Society (FBCS) Chartered IT Professional (CITP) Fellow of the Higher Education Academy (FHEA) Chartered Engineer (CEng) Professor Kerridge's research primarily focuses on parallel programming models, particularly through his work on the Groovy Parallel Patterns Library and Communicating Sequential Processes (CSP). His research spans multiple domains including software engineering, database systems, and interdisciplinary work in neuroscience related to dyslexia. He has also made significant contributions to pedestrian movement modeling and evolutionary algorithms. His publications demonstrate a consistent focus on practical software engineering solutions for parallel and distributed systems. The research trajectory shows progression from foundational work in computer architecture education in the 1980s through database systems in the 1990s-2000s to modern parallel programming frameworks. His interdisciplinary work connecting computer science with visual processing in dyslexia represents an innovative application of computational approaches to neuroscience problems. Fellow of the British Computer Society (FBCS) Chartered IT Professional (CITP) Fellow of the Higher Education Academy (FHEA) Chartered Engineer (CEng) Professor Kerridge has supervised several PhD students to completion, including Kevin Chalmers (Investigating communicating sequential processes for Java to support ubiquitous computing) and Robert Kukla (A software framework for the microscopic modelling of pedestrian movement). His research has been supported by Edinburgh Napier University funding, with applications ranging from healthcare systems to pedestrian flow optimization. He is a key member of the Centre for Algorithms, Visualisation and Evolving Systems at Edinburgh Napier University, where his work continues to influence both theoretical and applied aspects of computing.

Gary AllenView profile

Senior Lecturer

• Software Engineering
• Distributed Systems Development
• Aspect Oriented Programming
• +13 more

Gary Allen is a Senior Lecturer in the Department of Computer Science at the School of Computing and Engineering, University of Huddersfield. He is an active member of the Centre for Planning, Autonomy and Representation of Knowledge, the Centre for Sustainable Software Engineering, the Centre for Sustainable Computing, and an affiliate of the Centre for Autonomous and Intelligent Systems. He holds a PhD in Software Development Methods for Educational Use and has been with the university since 1990, first as a research assistant and then as a full-time lecturer since 1995. His research interests include: Software Engineering Distributed and Client-Server Systems Aspect-Oriented Programming Object-Oriented Analysis and Design Design Patterns Java Programming and JavaSpaces Software Engineering Education Integrated Project Support Environments His recent publications reflect a strong focus on software quality, empirical evaluation of programming paradigms, and educational applications of software engineering. He has contributed to studies on automated testing adoption, hybrid programming systems, and UML extensions, demonstrating a consistent thread in software design, modularity, and educational technology. His scientific contributions are aligned with sustainable computing and autonomous systems, supporting UN Sustainable Development Goals. He actively participates in peer-review for journals such as the Journal of Software: Evolution and Process and international conferences. He supervises PhD students and has been involved in multiple research supervision activities. His work integrates teaching and research, particularly in practical and pedagogical aspects of computer science. He is also engaged in activities related to knowledge representation and intelligent systems through his centre affiliations.

• Human Factors Engineering
• Nuclear Safety Systems
• Decision Support Systems
• +5 more

Dr. Dong-Han Ham was part of the academic staff at Middlesex University's Computer Science department. His research focuses on human factors, cognitive ergonomics, and safety-critical systems, particularly in nuclear power plant operations and decision support systems. He has contributed to frameworks for usability evaluation, human error analysis, and visual analytics. Key research interests include human-system interaction, task complexity analysis, and applying systems theory to improve safety and efficiency in complex environments. He has developed methodologies like the MaRMI-III framework for component-based software development and the TACOM extension for nuclear plant task analysis. His work often intersects with big data applications, such as extracting human reliability data from incident reports using Safety-II concepts. He has also explored usability in mobile interfaces and the design of physical controls for process systems. Ham has organized conferences like ECCE 2007 and contributed to editorial roles in journals. His research emphasizes practical applications of theoretical models, aiming to bridge gaps between cognitive science and engineering systems.

• Quantum Technology Engineering
• Photonic Systems
• Ultra-Precision Machining
• +4 more

Professor James C. Gates is a Professorial Fellow (Research) at the University of Southampton's Optoelectronics Research Centre (ORC), specializing in quantum technology engineering and photonic systems. With over 25 years of experience, he leads a research team developing proprietary fabrication techniques including flame hydrolysis glass deposition, air-bearing stabilised laser inscription, and ultra-precision milling. His research focuses on quantum technology manufacturing, particularly photonic and superconducting quantum computing hardware. Key areas include ultra-precision machining of optical structures for quantum systems, integrated photonics for quantum information processing, and non-linear optical devices for quantum applications. His work bridges fundamental research with industrial quantum technology manufacturing challenges. Quantum vacuum cell fabrication Photonic waveguide systems Ultra-precision diamond machining Quantum processor integration Optical manufacturing techniques Quantum sensing hardware His publication portfolio demonstrates significant contributions to quantum hardware manufacturing, with recent work emphasizing sapphire substrate machining for superconducting processors, UV generation in waveguides, and wafer-scale diamond grinding techniques. The research spans quantum computing, communications, and sensing applications. Vice Chancellor's Award (2012) Research group award: Highly Commended (2017) Professor Gates has secured over £100m in research funding as PI and Co-I, including EPSRC projects UPROAR and PURE. He leads the EPSRC Centre for Doctoral Training in Quantum Technology Engineering and serves as Co-I on the EPSRC Hub in Quantum Computing and Simulation. His team actively mentors PhD students and collaborates with defense and commercial partners on quantum technology development. His laboratory maintains a world-class suite of ultra-precision machining technologies, supporting both academic research and commercial quantum technology development. The team specializes in solving manufacturing challenges for quantum computing hardware, particularly in optical accessibility, vacuum integration, and cryogenic compatibility.

Leonardo Magela CunhaView profile

Lecturer

• Artificial Intelligence
• Multi-agent Systems
• Agent-based Modeling
• +4 more

Leonardo Magela Cunha is a Lecturer in Computer Science at King's College London's Department of Informatics, part of the Faculty of Natural, Mathematical & Engineering Sciences. He holds a PhD from the Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio) and previously worked as a Software Engineer at Petrobras. His research focuses on Artificial Intelligence, Multi-agent Systems, Agent-based Modeling, Semantic Web technologies, and Responsible AI Education. He is affiliated with King's Computing Education Research Centre (CERC) and contributes to the Sustainability Hub, exploring Distributed Artificial Intelligence in socio-economic contexts. Key research interests include the intersection of AI ethics with education, semantic frameworks for collaborative environments, and agent-based approaches to group formation in e-learning platforms. He co-authored the influential 2023 working paper on Responsible AI Education frameworks, blending technical and pedagogical insights. Earlier work centered on semantic web applications, model-driven architecture (MDA), and collaborative learning platforms like AulaNet, leveraging agent-based approaches for group management and task allocation. His academic contributions span over 15 publications since 2001, emphasizing both foundational technical research and applied educational technology. He leads the Computing Education Research Centre's initiatives in curriculum design and pedagogical innovation, particularly in computer science education. Current projects aim to integrate sustainability metrics into distributed AI systems and address ethical challenges in AI curricula. Labs/Teams: Sustainability Hub, Computing Education Research Centre (CERC) Key Collaborations: Multi-institutional AI ethics frameworks, Agent-based learning systems Future Work: Expanding Responsible AI education programs, semantic web interoperability standards

• Software Engineering
• Requirements Engineering
• Viewpoint-Oriented Development
• +5 more

A. Finkelstein is a prominent researcher at City, University of London with an extensive publication record spanning over three decades from 1989 to 2021. Their scholarly work demonstrates significant contributions to software engineering, particularly in requirements engineering, viewpoint-oriented development, and aspect-oriented programming. Research interests encompass both traditional software engineering domains and interdisciplinary applications. Early work focused on foundational aspects of software development including requirements specification, consistency management, and software process modeling. More recently, research has expanded into biomedical applications, systems pharmacology, and computational biology, demonstrating the versatility and applicability of software engineering principles across domains. Analysis of publication trends reveals a progression from theoretical software engineering foundations to practical applications in diverse fields. The most recent publications show increasing interdisciplinary work, particularly at the intersection of software engineering and biological/medical domains, including agent-based modeling for pandemic response and systems pharmacology approaches. While specific advising information isn't detailed in the publication record, the extensive collaborative work suggests significant mentorship and team leadership throughout their career. The publication pattern indicates sustained research productivity with consistent contributions to major conferences and journals in the field. Research appears to be organized around multiple collaborative projects, particularly evident in the later publications which frequently involve interdisciplinary teams spanning computer science, biology, and medicine. The work on OpenABM-Covid19 demonstrates application of computational modeling techniques to urgent public health challenges.