Find Academic Supervisors

• Information Theory
• Cryptography
• Lattice Theory
• +5 more

Cong Ling is a Professor of Information Theory and Cryptography at Imperial College London's Department of Electrical and Electronic Engineering, within the Faculty of Engineering. His research focuses on lattice theory and its applications in coding, cryptography, quantum information, and number theory. Key affiliations include the Academic Centre of Excellence in Cyber Security Research and the Engineering Secure Software Systems group. Education details are not explicitly provided in the text, but his professional experience indicates advanced qualifications in electrical engineering and mathematics. Research interests span lattice-based cryptography, post-quantum security, algebraic coding theory, and quantum-resistant algorithms. His work bridges information theory and number theory, with contributions to MIMO systems, secure communication protocols, and cryptographic protocol design. Recent publications emphasize lattice reduction techniques, quantum algorithms for the shortest vector problem, and advancements in polar codes. Notable trends include exploration of non-commutative algebras for cryptography, Gaussian sampling optimizations, and hybrid quantum-classical approaches to hard integer problems. Over 50+ articles published since 2018 reflect his leadership in lattice-based research and quantum-safe technologies. Awards: None explicitly listed in the text. Grants/Advising: No specific grants or student advisees mentioned; focus remains on collaborative research outputs. Labs/Teams: Associated with Imperial's Cyber Security Research groups and quantum engineering initiatives.

Eric AtwellView profile

Professor

• Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +8 more

Professor Eric Atwell is a Professor of Artificial Intelligence for Language at the University of Leeds' School of Computer Science, part of the Faculty of Engineering and Physical Sciences. He holds additional roles as a LITE Fellow at the Leeds Institute for Teaching Excellence (40% part-time), Turing Fellow at the Alan Turing Institute, and member of the Leeds Institute for Data Analytics (LIDA) and Language at Leeds (LATL). His research focuses on AI applications in corpus linguistics, text analytics, and computational analysis of religious and medical texts, with a strong emphasis on Arabic and Islamic studies. He leads the AI4L research group and has supervised over 60 research students and fellows, many of whom have pursued careers in academia, tech, and AI-driven fields. Education: PhD in Corpus Linguistics and Language Learning (University of Leeds, 2008), BA (First Class) in Computing and Linguistics (Lancaster University, 1981) Grants: Includes EPSRC-funded projects like Natural Language Processing with Arabic and Islamic Studies (£337K, 2013-2015) and EDUBOTS chatbots for education (£94K, 2019-2022) Teaching: Leads modules in Data Mining, Text Analytics, and AI across multiple programs, including online Masters and PhDs. Known for innovative teaching approaches and student support, receiving positive feedback for engagement and course design. Research Interests: AI applied to corpus linguistics, Quranic text analysis, Arabic NLP, chatbots for education, and decolonizing curricula. Notable projects include Quranic semantic search tools, Hadith corpus analysis, and AI-driven fact-checking systems. Publications: Over 277 publications, with recent work focusing on Quranic QA systems, Arabic dialect identification, and generative AI applications in education. His research is widely cited, earning recognition from ResearchGate for high readership. Awards: Recognized for his most-read research items on ResearchGate (June 2021). Gallup StrengthsFinder highlights his top traits as Learner, Achiever, Ideation, Intellection, and Maximizer. Labs/Teams: Leads the AI4L research group and collaborates with international institutions including SUSTECH Sudan, King Saud University, and SWJT University (China). Active in research networks like LIDA and LATL.

• Neuroscience
• Cognitive Neuroscience
• Memory Processes
• +4 more

Simon Hanslmayr is a Professor in the School of Psychology & Neuroscience at the University of Glasgow. His research investigates neural oscillations' role in attention and memory processes, employing EEG, fMRI, and transcranial stimulation techniques. He focuses on healthy populations and clinical conditions like Schizophrenia and PTSD. His lab develops tools like the Brain Time Toolbox for electrophysiological data analysis. Education: Ph.D. in Cognitive Neuroscience (not explicitly detailed in text) Research interests include understanding how precise neural timing via oscillations underpins cognitive functions. Key areas: hippocampal memory coding, theta phase synchronization in associative memory, and causal effects of rhythmic stimulation on memory plasticity. Recent articles highlight mechanisms linking theta oscillations to memory formation, thalamocortical interactions in perception, and hippocampal-neocortical coupling. His work bridges experimental and computational approaches to model memory dynamics. Grants: Sensory stimulation for memory impairment (BIAL Foundation, 2025-2026) EU-funded studies on neural oscillations and memory (2020-2021) Awards: None explicitly listed, but active grant recipient. Supervised students include Kiera Capstick, Eleonora Marcantoni, and others. Collaborates with researchers worldwide through lab affiliates and visiting scholars. Current work emphasizes scalable neurotechnologies for cognitive enhancement and memory rehabilitation. Labs/Teams: Leads the Memory & Oscillations Lab at the University of Glasgow, collaborating with institutions like the University of Zurich and Maastricht University on neuroimaging and clinical studies.

• Neuroimaging
• Neuroscience
• Functional Magnetic Resonance Imaging (fMRI)
• +3 more

Prof. Stephen Mayhew is a Professor at Aston University's School of Life & Health Sciences, affiliated with the College of Health and Life Sciences. He leads the Cognition & Neuroscience Research Group (CNRG) and contributes to the Aston Research Centre for Health in Ageing. His research focuses on multimodal neuroimaging (EEG/fMRI/MRI/MEG) to study brain activity in health and cognition, particularly negative BOLD responses and their role in neural inhibition and behavior. Recent work includes investigating task-demand effects on BOLD responses, brain state dynamics during rest, and neurovascular coupling methods. Education & Affiliations: Affiliated with Aston University's School of Life & Health Sciences Member of CNRG and Health in Ageing Centre Research Interests: His work explores collaborative/antagonistic brain networks, lifespan changes in brain function, and the functional significance of negative BOLD responses. Techniques include fMRI, EEG, and advanced neuroimaging analysis methods like fractal dimension and laminar 7T MRI. Key Contributions: Published over 30 peer-reviewed articles on neuroimaging and brain networks Systematic reviews on neurovascular coupling and transcranial Doppler methods Labs & Teams: Active in CNRG and collaborates across disciplines in health sciences and bioengineering.

Brian RobertsView profile

Professor

• Auditory Perception
• Auditory Scene Analysis
• Speech Perception
• +5 more

Brian Roberts is a Professor at Aston University's School of Psychology within the College of Health and Life Sciences. His primary research focuses on auditory perception, particularly auditory scene analysis and speech perception. He holds a PhD in Experimental Psychology (Auditory Perception) from the University of Cambridge (1989) and has held academic positions at the University of Birmingham (1993-2001) and Aston University since 2005. His work explores perceptual grouping mechanisms, cochlear implant listening, and the neural bases of auditory phenomena. Affiliations: Cognition & Neuroscience Research Group (CNRG), Centre for Vision and Hearing Research Employment History: Reader at University of Birmingham (2001), Senior Lecturer (1999), Lecturer (1993) Research interests include auditory stream segregation, formant analysis, and the effects of stimulus properties on perceptual organization. He has collaborated internationally, including visiting appointments at Macquarie University (2019) and the University of British Columbia (2011). Notable achievements include being elected a Fellow of the Acoustical Society of America (2009). Recent publications investigate factors influencing stream segregation (2024), asymmetric timbre effects (2023), and lexical bias in consonant identification (2022). Current projects explore sudden changes in auditory stimuli and their impact on perceptual grouping. Grants & Funding: Extensive research grants supporting auditory perception studies (details not explicitly listed) Supervised Work: 4 documented supervisees, though names not provided Labs/Teams: Active in the Auditory Perception Laboratory at Aston University, focusing on psychophysical and computational modeling approaches.

Jossy SayirView profile

Lecturer

• Information Theory
• Data Compression
• Error Correction Coding
• +5 more

Jossy Sayir is an Affiliated Lecturer and Senior Research Associate in the Department of Engineering at the University of Cambridge . Holding a Dipl. El.-Ing. ETH and Dr. Techn.-Wiss. from ETH Zurich, Sayir’s work bridges Information Theory and Bioinformatics , focusing on DNA-based data storage and error correction systems. They serve as Director of Studies in Engineering at Newnham College and coordinate Engineering Admissions. Interdisciplinary collaboration with the European Bioinformatics Institute Research on DNA data storage efficiency and cost reduction Expertise in channel coding, source coding, and 5G algorithms Teaching spans mathematics and information engineering modules in Part I Engineering Tripos, with Part II contributions on information theory, error control coding, and cryptography. Sayir also oversees data compression labs and serves as Wine Committee Chair, reflecting diverse interests in food, coffee, wine, music , and jazz . Best Lecturer Award, 2017-18 Research Fellowships in coding theory Key research trends include DNA storage encoding , LDPC decoders , polar code optimization , and Sudoku-inspired constraint coding . Sayir’s work addresses both theoretical and practical challenges in high-density data storage and next-generation communication protocols .

Rosalyn MoranView profile

Professor

• Computational Neuroscience
• Computational Psychiatry
• Neurodegenerative Diseases
• +5 more

Professor Rosalyn Moran is a Professor of Computational Neuroscience and Deputy Director of King's Institute for Artificial Intelligence at King's College London. She holds roles in the Department of Neuroimaging and School of Neuroscience within the Institute of Psychiatry, Psychology & Neuroscience. Her research focuses on computational neuroscience, computational psychiatry, and neurology, particularly integrating brain connectivity with algorithmic principles like the free energy principle. She explores neurotransmitter roles in decision-making and disease modeling, with applications in artificial intelligence and neurodegenerative disorders. Moran serves as an editor for Neuroimage and collaborates with leading institutions. Key projects include global neuroimaging initiatives (UNITY) and low-field MRI advancements in low-resource settings. Her work bridges Bayesian inference, AI, and neurobiology, with recent emphasis on pediatric neuroimaging and treatment-resistant psychosis. Education & Research Interests Rosalyn Moran's research spans computational psychiatry, neuroimaging techniques, and AI applications in healthcare. Her lab investigates serotonin and dopamine signaling, brain connectivity patterns, and predictive coding frameworks. Notable contributions include modeling NMDA receptor dysfunction in encephalitis and developing super-resolution MRI methods for global health contexts. Grants & Collaborations Funded projects include MRC Human Functional Genomics (2024-2028), NIHR Maudsley BRC (2022-2027), and Gates Foundation initiatives for low-field MRI enhancement. Collaborators include Karl Friston (UCL), Read Montague (Virginia Tech), and Klaas Enno Stephan (University of Zurich). Recent events include presenting the Free Energy Principle's role in generative AI (May 2023). Labs & Teams Her lab focuses on computational psychiatry and AI-driven neuroimaging solutions, collaborating with the King’s Global Health Institute to advance medical imaging accessibility in low-income regions.

• Metabolic Signaling
• Pancreatic Islet Biology
• Signal Transduction Pathways
• +4 more

Dr Amin Ardestani , Senior Lecturer in Metabolic Signaling at the Biomedical Institute for Multimorbidity (BIM), Hull York Medical School (HYMS) , specializes in unraveling molecular mechanisms of pancreatic β-cell failure in diabetes. His research program identifies novel therapeutic targets through signal transduction studies in metabolic disorders. Bachelor's in Biology, Tarbiat Moalem University (2004) Master's in Biochemistry, Institute of Biochemistry and Biophysics (2007) PhD in Biology, University of Bremen (2013) Junior Group Leader at University of Bremen (2014-2023) Research focuses on Hippo and mTOR signaling pathways in β-cell biology, autoimmunity, and regeneration. His work bridges mechanistic biology with drug discovery for diabetes, with significant findings on PHLPP1/2 phosphatases and MST1/2 kinases. Recent publications highlight therapeutic strategies for β-cell protection , including small molecule inhibitors (e.g., MST1/2 inhibitors) and metabolic enzyme modulation (LDHA). Collaborative studies explore SARS-CoV-2 interactions with pancreatic cells and cross-talk between acinar and β-cells in diabetes. 2019 JDRF Advanced Postdoctoral Fellowship 2018 Impulse grant & Career Advancement Award 2017 Early Investigators awards (Endocrine Society, EFSD/Lilly Programme) 2014 Albert Renold Fellowship & Bremer Studienpreis Professional roles include Editorial Board Member at Scientific Reports and Associate Editor at Frontiers in Endocrinology . He reviews grants for DFG, Diabetes UK, and ISF, and evaluates manuscripts for top-tier journals like Cell Metabolism and Nature Communications.

• Theoretical Neuroscience
• Mathematical Biology
• Neurodegenerative Diseases
• +4 more

Magnus Richardson is a Professor at the University of Warwick, affiliated with the Mathematics for Real-World Systems Centre for Doctoral Training (CDT), where he previously served as Director (2016–2020) and currently acts as Deputy Director. His research focuses on theoretical neuroscience, mathematical modeling of neural systems, and neurodegenerative diseases. He has led significant grants, including the UKRI-funded £5M renewal for the CDT, extending its operations until 2028. Richardson has supervised numerous doctoral students, including Alice Wang, Ivana Del Popolo, and alumni such as Dr. Emily Hill and Dr. Robert Gowers. His work bridges computational neuroscience and experimental biology, investigating topics like synaptic plasticity, adenosine signaling, and the impact of protein aggregates (e.g., tau, α-synuclein) on neuronal function. Richardson’s teaching includes modules on mathematical biology and machine learning. His GitHub repositories reflect his computational contributions, including neural modeling frameworks for integrate-and-fire neurons. Key research themes include understanding how synaptic inputs and neuromodulators influence neuronal dynamics, and developing mathematical tools to analyze neural systems under pathological conditions. Richardson’s grants and collaborations highlight his role in advancing interdisciplinary research at the intersection of mathematics, neuroscience, and computational biology.

Boubker ZaaimiView profile

Lecturer

• Neuroscience
• Neuromodulation
• Brain-Computer Interfaces
• +5 more

Dr. Boubker Zaaimi is a Lecturer in Neuroscience at Aston University, affiliated with the School of Life & Health Sciences under the College of Health and Life Sciences. His 15+ years of experience focus on implanting electrodes in animal models (rodents to primates) to study brain activity modulation, particularly in stroke and epilepsy contexts. He specializes in brain-machine interfaces, optogenetics, and closed-loop protocols to regulate neural activity. Key projects include the CANDO project (Newcastle University) and collaborations with DARPA and industry partners like Autifony Therapeutics. His research uses magnetoencephalography (MEG) to advance human brain activity recording and modulation techniques. Employment History: Multiple postdoctoral roles at Newcastle University, Northwestern University, and City College, NY, culminating in his current faculty position. Research Interests: Optogenetic control, neural dynamics in primates, spinal cord plasticity, and neuromodulation therapies. His work bridges basic science and clinical applications, with recent focus on non-invasive neurostimulation (e.g., brain-responsive music) and closed-loop systems for epilepsy management. Over 19 peer-reviewed articles highlight his contributions to understanding neural pathways and developing therapeutic interventions.

Robin CrockettView profile

Researcher

• Document Forensics
• Academic Integrity
• Contract Cheating
• +9 more

Dr Robin Crockett is the University Academic Integrity Lead at the University of Northampton, based in the Academic Registry. He is a mathematician-ethicist actively engaged in research and professional development in academic integrity, document forensics, and the detection of contract cheating and AI-generated text. He is a member of the European Network for Academic Integrity (ENAI), co-founder of the Midlands Integrity Group (UK), and has advised UK policymakers on legislation to ban essay mills. He holds Chartered Scientist and Chartered Mathematician status. MPhil, The Management of Electricity Supplies via Storage as Hydrogen, Cranfield University Master, Energy Conservation and the Environment, Cranfield University PhD, Electrostatic Damage to Semiconductor Devices, University of Southampton Master, Natural & Electrical Sciences, University of Cambridge Bachelor, Natural & Electrical Sciences, University of Cambridge Dr Crockett's research centers on document forensics and academic integrity, with core interests in Fourier theory, time-series analysis, and stylometry for identifying contract cheating. His work increasingly addresses the challenges posed by generative artificial intelligence in education. He applies mathematical and statistical methods to analyze linguistic cues, writing styles, and embedded information in student submissions. His recent publications highlight a strong trend toward understanding and mitigating academic misconduct in the AI era. Topics include AI-text detection uncertainties, forensic stylometry, and policy development for generative AI misuse. Earlier work includes environmental research on radon remediation and signal processing applications in telecommunications. Chartered Scientist Chartered Mathematician Dr Crockett has supervised PhD students, including Believe Nwamae in Computing. He has secured internal research funding, such as the Small Grants Scheme for Early Career Researchers at the University of Northampton for a project on AI-synthesized text detection. He has been an Academic Visitor at Loughborough University and served on the Turnitin Advisory Board, indicating active collaboration and external engagement. He frequently presents at academic events and contributes to policy discussions. He is affiliated with research networks including the European Network for Academic Integrity (ENAI) and the European Geosciences Union (as a former Scientific Officer). His work is supported by institutional and collaborative projects focused on advancing machine discernment of academic misconduct.

Wasiu O PopoolaView profile

Professor

• Optical Wireless Communications
• Visible Light Communication (VLC)
• Free-Space Optical Communications (FSO)
• +5 more

Professor Wasiu O Popoola is a Professor of Communications Engineering and Director of Electronics and Electrical Engineering at the School of Engineering, University of Edinburgh . With over 150 publications and a RAEng/Leverhulme Trust Research Fellowship (2022), his work focuses on optical wireless communication systems including VLC/LiFi, FSO, and underwater optical communications. BSc (First Class Hons), MSc (Distinction), PhD in optical communications (Northumbria University) Professional memberships: Fellow of Higher Education Academy (FHEA), Fellow of IET (FIET), Senior Member IEEE Research Interests span Indoor/Outdoor/Underwater Optical Wireless Communication , Modulation Techniques , and LiFi Applications . His 2025 articles explore underwater turbulence mitigation and hybrid RF-water communication systems . Earlier works include Best Poster Award at IEEE ICSAE 2016 and top-downloaded IEEE Xplore article (2008). Scientific Awards include: 2022 RAEng/Leverhulme Trust Research Fellowship 2016 IEEE ICSAE Best Poster Award 2009 'Xcel Best Engineering and Technology Student' (PhD) He contributes to editorial work as Associate Editor (IEEE Access) , Guest Editor (Optik Journal) , and peer reviewer for Physics World . Recent projects involve BOLD (Defence Science and Technology Laboratory) and TITAN Extension (University of Strathclyde) focusing on diffuse optical wireless systems and UAV swarm networks .

Nour AliView profile

Academic

• Software Architecture
• Distributed Systems
• Adaptive Systems
• +6 more

Dr Nour Ali is a Reader in the Department of Computer Science at Brunel University London , where she co-heads the Brunel Software Engineering Lab and serves as Vice-Dean of Education for the College of Engineering, Design and Physical Sciences. She holds a PhD in Software Engineering from Universidad Politecnica de Valencia, Spain, and a Major in Computer Science from Bir-Zeit University, Palestine. Research Interests: Software architecture for distributed and adaptive systems, integrating techniques like Model-Driven Engineering, Reverse Engineering, and Machine Learning. Teaching: Module leader for Software Project Management and supervisor of undergraduate group projects and final-year projects. Scientific Contributions: Over 70 publications in journals, conferences, and books. Key research areas include microservice architecture recovery, autonomic healthcare systems, and mobile self-adaptive architecture. Scientific Awards: Fellow of the Higher Education Academy (HEA). Membership: Deputy Editor-in-Chief for IET Software, member of multiple conference program committees, and reviewer for EPSRC, NWO, and other funding bodies.

Anna ChrysostomidesView profile

Lecturer

• Islamic History
• Medieval History
• Religious Studies
• +3 more

Anna Chrysostomides is a Lecturer in Islamic History at Queen Mary University of London’s School of History, based in ArtsTwo 3.29. Her research focuses on the social dynamics of conversion between Christianity and Islam in the 8th through 10th centuries, examining fluid religious identities and interfaith practices such as Christian wives in Muslim households, children of mixed unions, mawālī relationships, and slave dynamics. Her teaching includes the postgraduate module HST7901 Mastering the Field: Medieval Islamic World Stream. Recent publications explore topics like Abrahamic iconoclasm, Muslim participation in Christian festivals, and theological debates in Umayyad Palestine. She is currently supervising PhD student Julie Bungey, whose work examines aristocratic women in 15th-century Europe. No scientific awards have been explicitly mentioned in the provided texts. While no grants are detailed, her research demonstrates expertise in early medieval religious and social history.

Rachel HarrisonView profile

Professor

• Software Engineering
• Machine Learning
• Requirements Engineering
• +3 more

Professor Rachel Harrison is a Professor in Computer Science at the School of Engineering, Computing and Mathematics, Oxford Brookes University. Her research focuses on software metrics, machine learning, and requirements engineering with emphasis on empirical and automated software engineering solutions. She has over 160 publications and extensive industry collaborations with organizations like IBM and Philips Research Labs. Her work has been recognized through roles as Editor-in-Chief of the Software Quality Journal and leadership in conferences such as ICSE and ESEM. She leads the Dependable System Engineering Centre (DSERC) and is part of the Artificial Intelligence, Data Analysis and Systems (AIDAS) Institute and the Applied Software Engineering and Data Analytics (ASEDA) Group. Her research projects include AI applications for big data analysis (AIMi), automated review classification (ReClass), and software quality improvement (SEQUIN). Professor Harrison has served on over 50 international program committees and initiated workshops like RAISE and AIRE. Her teaching includes advanced computer science modules and leadership in courses like Essential Maths for University Study and Advanced Software Development . Her work bridges academic research and practical applications, particularly in healthcare technology (e.g., diabetes management systems) and mobile application usability. She advocates for rigorous software quality practices and has contributed to frameworks for requirements validation and risk assessment in software projects.