Find Academic Supervisors

• Computational Mechanics
• Fluid Flow in Fractured Porous Media
• Induced Seismicity Modeling
• +3 more

Navid Hosseini is a Research Associate in the Computational Mechanics Department at the Faculty of Engineering, Imperial College London. He specializes in computational modeling of fluid-driven phenomena in fractured geological systems, with a focus on induced seismicity and subsurface fluid dynamics. His research integrates advanced numerical methods like the Extended Finite Element Method (XFEM) to study fluid flow, solute transport, and mechanical interactions in complex geological formations. Dr. Hosseini holds a PhD from Sharif University of Technology (Iran) and completed a postdoctoral fellowship at the University of Calgary, Canada, where he worked on micro-seismicity modeling in Alberta's formations. Currently, he contributes to the SeisGreen project at Imperial College, investigating hydro-mechanical processes in fluid-induced seismicity. His research interests span computational geomechanics, fractured porous media modeling, and the application of XFEM to environmental and energy-related challenges. Key areas include CO2 sequestration, hydraulic fracturing, and the mechanics of fault slip induced by fluid injection. His work bridges academic and industrial applications, addressing both fundamental and applied problems in rock mechanics and subsurface hydrology. Notable contributions include studies on fluid-driven fault slip, density-driven flow in heterogeneous reservoirs, and proppant transport in hydraulic fracturing.

• Smart Grids
• Distributed Generation
• Electrical Network Control
• +4 more

Raphael Caire is a Senior Lecturer at Grenoble INP - National Polytechnic Institute of Grenoble, affiliated with the School of Energy, Water and Environment Engineers (ENSE3) and the Grenoble Electrical Engineering Laboratory (G2Elab). He serves as coordinator of the European DREAM project (FP7) and the International Master Smart Grid and Building program under KIC InnoEnergy. His educational background includes an Accreditation to Supervise Research from the University of Grenoble (2012), Doctorate from the National Polytechnic Institute of Grenoble (2004), and Engineering degree from the National School of Electrical Engineers of Grenoble (2000). Prior to his academic career, he worked at the Center for Power Electronic Systems (CPES) in the US and EDF research centers in Germany and France. Caire's research focuses on Smart Grid evolution, distributed generation integration, and critical infrastructure interdependencies. His work spans three key areas: new grid architectures, advanced operational modes, and ICT integration. Recent publications emphasize voltage control, microgrid protection, digital twin applications, and inverter-based resource management, reflecting his focus on grid flexibility and renewable integration challenges. His team's output shows strong industry collaboration with EDF, Schneider Electric, and European research entities. Notable scientific contributions include two patents: 'Determining the Frequency of an Alternating Signal' (US 2018/0059154 A1) and 'Method of Stabilizing an Electrical Network by Load Shedding' (PCT/EP2014/077815). He has coordinated major EU projects including DREAM, evolvDSO, and INSTINCT. Caire has co-supervised 21 completed PhD theses with a 41% average co-supervision rate and currently oversees 5 doctoral candidates. His teaching spans electrical networks, grid stability, and smart grid technologies at multiple institutions including Ecole Centrale Lyon and Mines ParisTech. He pioneered the Smart Grids MOOC with Enedis and developed experimental platforms like the RD-PREDIS demonstrator for hands-on Smart Grid education.

Michael FuView profile

Professor

• Simulation Modeling
• Operations Research
• Financial Engineering
• +5 more

Michael Fu is the Smith Chair of Management Science at the Robert H. Smith School of Business, University of Maryland, with joint appointments in the Institute for Systems Research and the Department of Electrical and Computer Engineering. He holds a Professor rank and specializes in simulation optimization, stochastic processes, and financial engineering. His research bridges theoretical advancements and practical applications in supply chain management, healthcare systems, and artificial intelligence. His academic accolades include INFORMS College on Simulation's Outstanding Publication Award (1998, 2019), IEEE Fellow (2007), and INFORMS Simulation Society's Distinguished Service Award (2018). He has held editorial roles at journals such as Management Science and Operations Research , and served as Program Director at the National Science Foundation (2010–2012, 2015). Research Focus: Simulation optimization, stochastic control, and Monte Carlo methods applied to healthcare, finance, and manufacturing. Key Contributions: Co-author of seminal works like Conditional Monte Carlo and Simulation-Based Algorithms for Markov Decision Processes . Recent Trends: Integrating AI techniques (e.g., Monte Carlo Tree Search) with classical stochastic optimization frameworks. Fu's interdisciplinary work spans multiple domains, including kidney transplantation logistics, financial risk modeling, and pandemic response strategies (e.g., real-time COVID-19 decision support systems). He has advised numerous research initiatives funded by NSF, SEMATECH, and Air Force Office of Scientific Research, emphasizing practical applications of stochastic methods.

Nick DrakeView profile

Professor

• Remote Sensing
• GIS
• Semi-arid and Arid Zone Geomorphology
• +4 more

Professor Nick Drake is a leading academic in Physical Geography at King's College London, specializing in remote sensing, GIS, and arid zone studies. He holds a BSc (Hons) in Environmental Science (1983) and a Master of Applied Science in Geochemical Exploration (1986). After postdoctoral research at Reading University, he joined King's in 1992, becoming a Professor in 2013. His work focuses on desert geomorphology, paleoclimates, and human-environment interactions, particularly in the Sahara and Arabian Peninsula. He leads the Sahara Megalakes Project, investigating ancient lakes in Chad, Libya, and Tunisia. His research integrates remote sensing and fieldwork to explore human dispersals and environmental changes. Education: BSc (Plymouth Polytechnic), MAppSc (University of New South Wales), PhD (part-time, Reading University, 1986-1992). Academic roles include editorial board memberships for journals like Journal of Arid Environments and leadership in the Society for Libyan Studies. Teaching includes courses on environmental remote sensing, arid environments, and global change. Research interests span remote sensing applications, semi-arid geomorphology, and geoarchaeology. Key projects include reconstructing Saharan and Arabian paleoenvironments and tracing hominin dispersals. Recent work highlights recurrent humid phases in Arabia and the role of ancient lakes in human migration. His articles address climate-landscape interactions, dust dynamics, and Holocene subsistence strategies. Grants and collaborations involve international projects with universities from nine countries. Supervised PhD students include P. Breeze (NERC-funded) and N. Yan. Awards include editorial and leadership roles in academic societies. Labs/groups include the Earth Observation and Environmental Sensing Hub at King's.

• Biomedical Engineering
• Entropy Analysis
• Bubble Entropy
• +13 more

George Manis is an Associate Professor in the Department of Computer Science and Engineering at the School of Engineering, University of Ioannina, Greece. He is a member of the IPAN lab and serves as a Guest Editor for a special issue on 'Entropy in Biomedical Engineering' in the journal Entropy . His research bridges biomedical engineering and computational systems, with a strong focus on entropy-based methods and machine learning for physiological signal analysis. PhD in Computer Science, National Technical University of Athens (1993–1997) MSc in Advanced Methods in Computer Science, Queen Mary, University of London (1992–1993) Diploma in Electrical and Computer Engineering, National Technical University of Athens (1987–1992) His primary research interests include Biomedical Engineering , Entropy Analysis (especially Bubble Entropy), Fast Computation Algorithms , Biomedical Data Classification , Heart Rate Analysis , and Computing Systems with emphasis on parallelization. He teaches postgraduate courses in data analysis and biomedical data processing, and undergraduate courses in compilers. The analysis of his recent publications reveals a consistent trend in developing computationally efficient and robust methods for entropy estimation and classification in biomedical contexts. His work on Bubble Entropy eliminates the need for scale parameters and enhances stability, while his improvements to Random Forests and Support Vector Machines target enhanced diagnostic accuracy in diseases like Alzheimer’s and heart conditions. In computing systems, he has pioneered compiler technologies for parallelizing recursive functions and optimizing runtime scheduling. No scientific awards are explicitly mentioned in the provided text. George Manis has advised or collaborated with several researchers, including Evanthia Tripoliti, Dimitrios Fotiadis, Petros Arsenos, Argyro Kampouraki, and others, indicating active supervision and research leadership. He is currently involved in funded projects such as Palimpsest , an interactive museum system, and Homore , a smart monitoring system for elderly individuals. These projects reflect his interest in applying advanced computing to real-world biomedical and societal challenges. He is affiliated with the IPAN lab and contributes to the development of innovative algorithms for entropy computation and parallel processing. His work on the C2μTC/SL compiler and Ariadne system demonstrates deep expertise in compiler design for specialized architectures like the SVP processor.

João FrazãoView profile

Researcher

• Quantum Cryptography
• Quantum Key Distribution
• Free-Space Optical Communication
• +3 more

João Frazão is a researcher active in the field of quantum cryptography, with a focus on experimental continuous-variable quantum key distribution (QKD) systems. His work explores the application of QKD over free-space optical channels, addressing challenges such as turbulence, noise power, and real-time signal processing. He collaborates with institutions like Optica Publishing Group and has contributed to advancements in secret key generation, error correction, and adaptive reconciliation protocols. 2021: Active in the NGF - Integration ECO1 project as a project member. 2024: Published multiple conference papers on QKD optimization and real-time quantum communication systems. 2025: Released a significant article on rate-adaptive reconciliation techniques for free-space QKD. His research interests span quantum cryptography, secure communication protocols, optical engineering, and quantum information theory. João's work frequently involves graphics processing units (GPUs) and local oscillator technologies to enhance QKD performance in turbulent environments. João's publications highlight his expertise in quantum key distribution, continuous-variable systems, and free-space optical communication. His projects often collaborate with researchers such as C. M. Okonkwo, K. Gümüş, and A. Albores-Mejia, contributing to the development of practical QKD implementations. He is currently affiliated with institutions involved in the Optical Fiber Communication Conference (OFC) and works on cutting-edge quantum communication technologies.

• Migratory Birds
• Flyway Ecology
• Shorebird Conservation
• +3 more

Tamar Lok is a guest researcher at the Faculty of Science and Engineering (University of Groningen) within the Piersma group - Global Flyway Ecology . She contributes to migratory bird research, focusing on shorebirds, spoonbills, and flyway dynamics. Education : Completed PhD research (Metawad project, 2011-2018) on topics like Calidris canutus population dynamics and flyway ecology. Research interests span: Flyway ecology : Tracking migratory bird routes (e.g., trans-Saharan, Bohai Bay) and assessing risks to shorebird populations. Foraging behavior : Using accelerometers to quantify prey ingestion in Eurasian spoonbills. Demographic modeling : Heterogeneity in stopover duration, mortality rates, and breeding season impacts. Scientific contributions include: Dataset creation for species like red knots and spoonbills. Analysis of tropical wintering impacts on arctic-breeding shorebirds. Collaborative work on intertidal bivalve ecosystems in Mauritania.

Fred ShafferView profile

Professor

• Heart Rate Variability
• Physiological Psychology
• Psychopharmacology
• +5 more

Fred Shaffer is a Biological Psychologist and Professor at Truman State University's Psychology Department, where he has proudly taught since 1975. He serves as the director of the Truman Center for Applied Psychophysiology and is currently the President of the Association for Applied Psychophysiology and Biofeedback (AAPB). Shaffer earned his BA in Psychology and Political Science with a minor in Philosophy/Religion from Claremont Men's College in 1971, followed by an MS in Clinical Psychology in 1973 and a PhD in Social-Personality Psychology in 1975 from Oklahoma State University. His research focuses on heart rate variability (HRV), physiological psychology, and biofeedback. Shaffer has pioneered work in HRV biofeedback, resonance frequency assessment, and alternative methods like rhythmical skeletal muscle tension to increase HRV. His research has demonstrated the complex relationship between the heart and brain, showing that a healthy heart exhibits complex oscillations rather than metronome-like regularity. His publications show a strong trend toward practical applications of HRV research, particularly in developing accessible biofeedback techniques and establishing normative values. His work bridges theoretical physiological principles with clinical applications across multiple domains including stress management, emotional regulation, and performance enhancement. Walker and Doris Allen Fellowship for Faculty Excellence (2008) Outstanding Research Mentor of the Year award (2013) AAPB Distinguished Scientist award (2019) BCIA created a scholarship in his honor for HRV Biofeedback applicants (2021) Shaffer has mentored an award-winning undergraduate research team for over 48 years, with notable students including Christopher Zerr, who received the Omicron Delta Kappa Outstanding Leadership award in 2015. He has served as Chair and Treasurer of the Biofeedback Certification International Alliance (BCIA), which certifies professionals in 35 countries. His Truman Center for Applied Psychophysiology has received generous support from BioSource Software, Thought Technology Ltd., and the Association for Applied Psychophysiology and Biofeedback. He directs the Truman Center for Applied Psychophysiology, which has conducted HRV research for over thirty years. The center has trained biofeedback professionals internationally in locations including Portugal, Italy, Australia, UK, Netherlands, Hong Kong, South Africa, Germany, Rome, Thailand, and Venice. Shaffer provides online biofeedback education through BioSource Software LLC and has served as a contributing editor for Applied Psychophysiology and Biofeedback and Biofeedback Magazine.

Brad FergusonView profile

Academic

• Autism Spectrum Disorder
• Stress Response
• Pharmacological Treatments
• +7 more

Brad Ferguson, PhD, is an Assistant Research Professor in the Department of Neurology at the University of Missouri School of Medicine. He is also affiliated with the Thompson Center for Autism & Neurodevelopment and the Interdisciplinary Neuroscience Program (INP) at MU. Education: PhD in Interdisciplinary Neuroscience (2016), University of Missouri MA in Psychology (2010), Middle Tennessee State University BA in Psychology (2005), University of North Texas Research Interests: Dr. Ferguson investigates co-occurring conditions in autism, including gastrointestinal symptoms, anxiety, and stress responses. His work spans clinical trials, psychophysiological measurements (e.g., heart rate variability, skin conductance), neuroimaging (MRI/fMRI), and wearable technology applications. Grants & Funding: Research supported by the United States Department of Defense, Autism Speaks, Autism Treatment Network, AS ATN AIR-P, National Academy of Neuropsychology, and the MU Coulter Biomedical Accelerator Program. Labs & Affiliations: Thompson Center for Autism & Neurodevelopment, Interdisciplinary Neuroscience Program, and collaborations across MU's Graduate School, School of Health Professions, and Honors College.

• Machine Learning
• Deep Learning
• Wireless Communications
• +5 more

Ashit Kumar Dutta is an Associate Professor in the Department of Computer Science at King Saud University's College of Computer and Information Sciences. With over 40 publications spanning 2020-2025, his research bridges artificial intelligence with practical applications in healthcare, wireless communications, and cybersecurity. His collaborative work involves extensive partnerships with Saudi researchers and institutions, particularly in King Saud University's healthcare technology initiatives. Dr. Dutta's research interests focus on cutting-edge applications of machine learning and deep learning across multiple domains. His primary expertise lies in developing AI-driven solutions for healthcare challenges including cardiovascular disease detection, brain tumor segmentation, ALS diagnosis, and osteosarcoma identification using medical imaging. He also specializes in next-generation wireless communications, particularly 6G resource allocation, vehicular networks, and Internet of Things applications. His cybersecurity work emphasizes malware detection and network security using bio-inspired optimization techniques. The interdisciplinary nature of his research demonstrates a strong commitment to solving real-world problems through computational approaches. Analysis of his recent publications reveals a clear trend toward increasingly sophisticated AI architectures applied to healthcare challenges, with particular emphasis on federated learning approaches that maintain data privacy. His work on 6G communications shows growing sophistication in handling complex resource allocation problems across multiple dimensions. The consistent publication output across multiple high-impact venues demonstrates both productivity and recognition within his fields of expertise. Dr. Dutta maintains an active research program with significant contributions to both theoretical and applied aspects of computer science. His work on healthcare applications demonstrates particular promise for real-world implementation, with several papers focusing on practical deployment of AI solutions in medical settings. His expertise in both wireless communications and healthcare technology positions him uniquely to address emerging challenges in connected health systems.

• Human-Computer Interaction
• Trust in Technology
• Affective Computing
• +7 more

David Lamas is a faculty member at Universidade Lusófona, Portugal, with a Doctor of Philosophy in Computer Science. His research focuses on Human-Computer Interaction, Trust in Technology, Affective Computing, and Digital Libraries. He has contributed extensively to academic literature through journal articles, conference papers, and book chapters. Doctor of Philosophy in Computing Mestrado in Informática (Ciências da Computação) Licenciatura in Informática (Matemáticas Aplicadas) Postgraduate Certificate in Strategic University Management Postgraduate Certificate in Strategic Direction and Community Engagement His research interests lie at the intersection of human behavior and technology, particularly in modeling trust using psychophysiological signals, emotion recognition in dyadic interactions, and designing wearable systems for emotional support. He explores how users perceive and interact with AI systems, especially in high-risk and cross-cultural contexts. His work integrates HCI principles into software development practices, particularly in developing countries. The recent publications reflect a strong trend in affective computing, trust modeling, and wearable technologies. His work spans facial emotion databases, vibrotactile feedback systems, and psychophysiological signal analysis. These contributions highlight a focus on user-centered design, ethical AI, and the application of technology in mental health and public services. David Lamas has not been mentioned with any scientific awards in the provided text. He has advised or collaborated with several researchers, including S. Sousa, V. Tomberg, A. Ogunyemi, I. B. Da Rosa, and others, particularly in studies related to trust, e-learning, and software industry practices. While specific grants are not listed, his extensive publication record suggests active research funding and project leadership. His work often involves international collaboration, especially with researchers in Estonia, Nigeria, and Afghanistan. David Lamas is involved in research projects related to body-centric computing, brain-computer interfaces (e.g., BrainHack project), and digital library infrastructure. His work on vibrotactile displays (e.g., Be Me Vest, Vibmory) indicates active development in wearable technology for emotional and cognitive augmentation. He also contributes to the design of e-government architectures and digital inclusion initiatives in developing regions.

Jason D. MerkerView profile

Associate Professor

• Cancer Genomics
• Molecular Oncology
• Translational Research
• +6 more

Jason D. Merker, MD, PhD is an Associate Professor in the Department of Pathology and Laboratory Medicine & Genetics at the University of North Carolina at Chapel Hill School of Medicine. He serves as Director of Molecular Oncology and Associate Director of Molecular Pathology at UNC Hospitals McLendon Clinical Laboratories, Director of Cancer Molecular Pathology, and Co-Director of the Translational Genomics Laboratory at the UNC Lineberger Comprehensive Cancer Center. Dr. Merker is also Co-Chair of the UNC Health Molecular Tumor Board and the Cancer Genetics Committee. Dr. Merker's research focuses on translating genomic technologies to improve cancer patient care. His laboratory develops and applies novel molecular oncology diagnostics, with particular emphasis on circulating tumor nucleic acid detection, RNA sequencing applications, and correlative genomic studies of specimens from cancer clinical trials. His work spans the entire biomarker development life cycle from discovery through clinical implementation, with special focus on endometrial cancer disparities research where Black women experience a >90% higher 5-year mortality rate compared to other racial groups. Analysis of Dr. Merker's publication record reveals a strong focus on cancer genomics standards, liquid biopsy technologies, and molecular diagnostics implementation. His recent work has contributed significantly to guidelines for somatic variant classification, circulating tumor DNA analysis, and preanalytical best practices. Much of his research involves collaborative efforts across multiple institutions to translate genomic findings into clinical practice, particularly through the UNC Lineberger Translational Genomics Laboratory and the NCI National Clinical Trials Network. Co-Chair of UNC Health Molecular Tumor Board Director of Network Group Integrated Translational Science Center at UNC for NCI National Clinical Trials Network Faculty Director for Lineberger Comprehensive Cancer Center Translational Genomics Laboratory Principal Investigator leading collaborative research with multiple UNC departments including Gynecologic Oncology, Pathology, and Genetics The Merker Laboratory works closely with clinical colleagues to support correlative genomic testing for cancer clinical trials. Current projects include expanded clinical applications of RNA sequencing (which currently comprises only 5% of clinical molecular oncology tests), development of cell-free circulating tumor nucleic acid assays for cancer genotyping and molecular residual disease monitoring, and molecular profiling in endometrial cancer with particular attention to racial disparities through the Carolina Endometrial Cancer Study and UNC TREND program.

David A. RobbView profile

Research Fellow

• Human-Computer Interaction
• Human-Robot Interaction
• Image-based emotion feedback
• +5 more

David A. Robb is a Research Fellow in the School of Mathematical and Computer Sciences at Heriot-Watt University, where he has been actively contributing to academic research since completing his PhD in 2015. His career progression shows a clear trajectory from PhD student (2011-2015) to Research Associate (2015-2020) to his current Research Fellow position. Robb is currently leading research efforts across three major EPSRC/UKRI projects: DeMILO (studying expert laser aligners' thinking and strategies), @tas_trust (investigating trust in autonomous systems), and HUME (focusing on human-machine teaming for AUVs). Robb's research interests span multiple interconnected domains within human-centered computing. His primary focus areas include Human-Computer Interaction (HCI) and Human-Robot Interaction (HRI), where he investigates how humans interact with and trust autonomous systems. Additional interests include image-based emotion feedback mechanisms, image summarization techniques, cognitive aspects of human-computer interaction, computer-supported cooperative work (CSCW), and visualization of complex data. His work often bridges theoretical understanding with practical applications in industrial and service environments. Analysis of Robb's publication record reveals a strong trajectory of scholarly contribution with 54 publications to date. His recent work demonstrates a clear focus on practical applications of human-robot interaction in real-world settings, particularly in industrial automation (laser alignment systems) and service robotics (robo-barista studies). A notable trend is his increasing focus on understanding human factors in automation adoption, trust dynamics in human-machine teams, and the practical implementation challenges of deploying autonomous systems in complex environments. His publications span top-tier venues in HCI, HRI, and robotics, demonstrating both breadth and depth in his scholarly contributions. ACM ICMI2021 Best Reviewer Awards (Top 5%) ACM ICMI 2023 Outstanding Reviewer Award ACM ICMI 2024 Outstanding Reviewer Award Honourable Mention ACM CHI 2017 Research Papers and Notes Honourable Mention ACM DIS 2017 Research Papers and Notes Robb has been instrumental in securing and executing multiple significant research grants, particularly through EPSRC/UKRI funding mechanisms. His current role as Experimental Lead for the HRI theme of the ORCA Hub project (a major £5.7 million EPSRC-funded initiative) demonstrates his capability in managing substantial research programs. While specific details about student supervision aren't prominently featured in the provided materials, his active research program and teaching responsibilities (Experimental Design and Web Design and Databases) suggest engagement with graduate students. His work extends beyond pure research to practical implementation, as evidenced by projects like the MIRIAM multimodal interface for autonomous systems and the robo-barista field studies. Robb is affiliated with the Strategic Futures Lab at Heriot-Watt University and has been involved with the ORCA Hub (Offshore Robotics for Certification of Assets), a major UK Robotics and Artificial Intelligence Hub. His collaborative network is extensive, with co-authors from multiple departments at Heriot-Watt as well as international collaborators. Recent projects like the DeMILO study of laser alignment expertise and the @tas_trust project on human trust in autonomous systems indicate his work is increasingly focused on translating fundamental HRI research into practical industrial applications.

Mathilde van RossumView profile

Researcher

• Technical Medicine
• Physiology
• Cardiovascular
• +7 more

Mathilde van Rossum is a researcher specializing in wireless vital signs monitoring and early detection of patient deterioration. She holds a position as Researcher at Utrecht University since January 2017 and recently completed her PhD at the University of Twente in June 2023. Her work focuses on applying technical medicine approaches to improve patient monitoring systems in clinical settings, with particular emphasis on surgical wards and emergency departments. Her educational background includes: Master of Technical Medicine from University of Twente (awarded December 18, 2015) Bachelor of Technical Medicine from University of Twente (awarded May 21, 2012) Dr. van Rossum's research centers on technical medicine applications for patient monitoring, with specific expertise in cardiovascular physiology, vital signs tracking, and early warning systems. She investigates how continuous wireless monitoring can detect clinical deterioration before adverse events occur. Her work bridges engineering and clinical medicine to develop practical eHealth solutions that improve patient safety through timely intervention, with applications in surgical monitoring, sepsis detection, and postoperative care. Her recent publications demonstrate a clear trajectory toward implementing wireless monitoring systems in real-world clinical settings. The research shows increasing focus on practical implementation challenges including data imputation techniques, early warning score integration, and multicenter trial validation across 22 research outputs since 2016. Her work spans technical development, clinical validation, and implementation science with strong emphasis on solving real problems in patient monitoring. Dr. van Rossum actively engages with the medical community through 7 documented activities including 3 invited talks and media appearances. Her research has been featured in media coverage including RTVoost, highlighting practical applications of her work in hospital settings like ZGT Almelo where patients are monitored remotely using sensors. She collaborates with researchers including Kouwenhoven, Hermens, Hegeman, Folbert, and Vollenbroek-Hutten on projects like the SHEPHERD study.

Alison GrayView profile

Lecturer

• Statistics
• Pattern Recognition
• Machine Learning
• +12 more

Dr. Alison Gray is a Lecturer in the Department of Mathematics and Statistics within the Faculty of Science at the University of Strathclyde. She is a member of the Population Modelling and Epidemiology (PME) research group and an associate member of the Stochastic Analysis group, contributing to both teaching and interdisciplinary research. Her research interests are centered on statistical applications in real-world contexts, particularly in pattern recognition, machine learning, image analysis, applied epidemiology, stochastic differential equation (SDE) models for epidemics , and statistics in honey bee research . She has led long-term studies on honey bee colony losses in Scotland since 2006 and is deeply involved in the international COLOSS network, serving as co-chair of the colony loss monitoring group since 2014 and data coordinator since 2016, coordinating surveys across over 30 countries. She also led the COLOSS CSI Pollen citizen science project in the UK and internationally. Her recent publications (2024–2025) reflect a strong focus on global honey bee health, including colony dynamics in Ethiopia, multi-country loss surveys in Africa, and the evaluation of AI-generated beekeeping advice via ChatGPT. These works demonstrate a consistent application of statistical methods to ecological and agricultural challenges, particularly in apiculture and environmental monitoring. Scientific Awards: Fellow of the Royal Statistical Society She has been principal or co-investigator on multiple research projects, including those funded by the European Commission (Horizon Europe) and the British Beekeepers' Research Trust, focusing on pesticide monitoring, forage diversity, and aquaculture. While specific student names are not listed, she has supervised academic work as noted in her research profile. She is actively involved in professional activities, including invited talks and workshops related to bee colony monitoring. Dr. Gray leads a current project mapping bee races across Scotland using wing morphometry, multivariate statistics, and DNA analysis, continuing her integration of advanced statistical techniques with ecological fieldwork.