Find Academic Supervisors

• Bayesian Inference
• Spatial Statistics
• Biostatistics
• +5 more

Maura Mezzetti is a Full Professor of Statistics at the Department of Economics and Finance, Università degli Studi di Roma II (Tor Vergata), Rome, Italy. Her career spans institutions such as Harvard School of Public Health, Università Bocconi, and European Institute of Oncology. She holds a PhD in Methodological Statistics from Università di Trento (1997) and a Laurea in Mathematics from Università di Milano (1992). Current Position: Full Professor (2021–Present) Former Roles: Associate Professor (2010–2021), Assistant Professor (2004–2010, Tor Vergata; 2000–2005, Bocconi) Research Interests: She specializes in Bayesian statistical methods for spatially correlated data, hierarchical modeling, survival analysis, and biostatistics. Her work addresses public health challenges like cancer incidence modeling, socioeconomic disparities in disease burden, and psychometric/motor behavior analysis. She has developed Bayesian compartmental models for chemical exposure studies and contributed to epidemiological research on breast and colorectal cancer risk factors. Scientific Awards: Yamagiwa-Yoshida Fellowship (2014) ICRETT Fellowships (2012) Excellence in Research (2005) from Bocconi AIRC Fellowships (1998, 1993) Teaching Contributions: She has taught Statistics at undergraduate and graduate levels across Tor Vergata and Bocconi, including specialized courses in medicine, European economy, and data analysis. Her pedagogical efforts include authoring educational materials like "Statistica Descrittiva: Esercizi risolti e guida alla soluzione usando Excel" (2002).

Ghislain VerdierView profile

Lecturer

• Statistical Process Control
• Reliability Modeling
• Change-Point Detection
• +2 more

Ghislain Verdier is a Lecturer at the University of Pau and Pays de l'Adour, affiliated with the Data Science department at IUT des Pays de l'Adour and the Probability and Statistics research team at LMAP. His expertise covers statistical methods for reliability and process monitoring. Research focuses on: Change-point detection in dynamic systems Control charts for multivariate processes Stochastic degradation modeling Nonparametric sequential analysis Extended gamma process applications He developed goodness-of-fit procedures for gamma processes and dependence models for Lévy wear processes. He has supervised PhD students on reliability topics and serves on academic committees, including the CNRS expert panel (sections 25-26).

Andrew T. MyersView profile

Professor

• Offshore Wind Energy
• Structural Engineering
• Probabilistic Modeling
• +4 more

Andrew T. Myers is a Professor and Associate Chair for Graduate Studies in Civil and Environmental Engineering at Northeastern University. He leads the Sustainable Structures Group, focusing on offshore wind energy, structural resilience, and probabilistic modeling. His research addresses hurricane risk mitigation, innovative turbine designs (e.g., T-Omega Wind's floating platforms), and multi-hazard assessment for offshore infrastructure. Education: Ph.D., Structural Engineering and Geomechanics, Stanford University (2009) M.S., Civil and Environmental Engineering, Stanford University (2006) B.S., Civil Engineering, Johns Hopkins University (2004) Key Research Interests: Myers investigates fixed and floating offshore wind structures, computational simulation of structural behavior, and probabilistic modeling of extreme environmental conditions. His work emphasizes hurricane risk assessment, cost-effective turbine designs, and sustainable infrastructure solutions. Notable projects include the DOE-funded Academic Center for Reliability and Resilience of Offshore Wind (ARROW) and the National Offshore Wind Research and Development Consortium's hurricane risk mitigation program. Awards & Recognition: 2023 Constantinos Mavroidis Translational Research Faculty Award 2021 College of Engineering Faculty Fellow 2020 Cleantech Open Northeast Winner (T-Omega Wind) 2016 NSF CAREER Award Grants & Collaborations: Myers has secured funding from NSF, DOE, and industry partnerships to advance offshore wind technology. His projects include optimizing thin-walled tube towers, developing multiline anchor systems, and assessing hurricane impacts on wind farms. He collaborates with institutions like UMass Amherst and industry leaders such as T-Omega Wind. Labs & Teams: He directs the Sustainable Structures Group, which bridges academia and industry to tackle challenges in offshore wind energy. The group focuses on structural innovation, risk-based design, and scalable solutions for global energy transitions.

Taiyu ZhuView profile

Research Fellow

• Artificial Intelligence in Healthcare
• Deep Learning Algorithms
• Cardiometabolic Disease Prediction
• +3 more

Taiyu Zhu is a Research Fellow at the University of Oxford's Department of Psychiatry and the Novo Nordisk Research Centre Oxford. His work focuses on applying artificial intelligence (AI) to improve healthcare outcomes for cardiometabolic and neurodegenerative diseases. He holds a PhD in Electrical and Electronic Engineering from Imperial College London (2022), an MSc from the same institution, and a BEng from the Australian National University. His research integrates deep learning with genomic data and wearable technologies to develop predictive models for conditions like diabetes and Alzheimer’s disease. Notable projects include leveraging federated learning for privacy-preserving glucose prediction and using large language models in mental health care. Dr. Zhu has been awarded the Novo Nordisk–Oxford Research Fellowship for his innovative work in genomic risk prediction. Key research trends in his articles include multi-horizon glucose forecasting, transformer-based edge computing for real-time diagnostics, and reinforcement learning for insulin delivery systems. His work emphasizes translating AI advancements into clinical tools for personalized medicine. Awards: Novo Nordisk–Oxford Research Fellowship Grants: President’s PhD Scholarship (Imperial College London) Dr. Zhu collaborates with interdisciplinary teams at the Novo Nordisk Research Centre Oxford, focusing on AI-driven solutions for global health challenges such as diabetes management and neurodegenerative disease prediction.

• Biostatistics
• Public Health
• Sport Participation
• +3 more

Dr. Katherine Owen is a Biostatistician at the University of Sydney's Sydney School of Public Health, affiliated with the Prevention Research Collaboration and SPRINTER (Sport and Active Recreation Intervention & Epidemiology Research) group. Holding a PhD in physical activity and a Master's in Biostatistics, her research focuses on sport participation equity, physical activity interventions, and the educational benefits of sport. She collaborates on national public health campaigns and policy evaluations, including the Active Kids voucher program and analyses of loneliness and social isolation impacts. Education: PhD in Physical Activity, Master's in Biostatistics. Research Focus Dr. Owen's work bridges biostatistics and public health, examining: Gender disparities in sport participation across Europe Long-term effects of resistance training on academic performance Equity in organized sport access for children Health literacy among pre-service teachers Key Projects Notable contributions include: Evaluation of NSW's Active Kids voucher program Analysis of loneliness/social isolation correlates with health outcomes Systematic reviews on motor competence and executive functions Studies on influenza vaccination response enhancement via exercise Grants & Partnerships Involved in national grant programs targeting physical inactivity reduction and community engagement, including Move It AUS grants and the Her Sport Her Way initiative. Labs & Teams Core member of the Prevention Research Collaboration (PRC) and SPRINTER group, focusing on translational research to improve population health through physical activity policies.

• Environmental Science and Management
• Ecology
• Physical Geography and Environmental Geoscience
• +4 more

Dr. Catherine Leigh is an Associate Professor in the School of Science at RMIT University, Australia. Her research focuses on environmental science, hydrology, and ecological systems, with particular expertise in intermittent river ecosystems, water quality monitoring, and biodiversity conservation. She leads interdisciplinary projects combining fieldwork, sensor technology, and computational methods to address environmental challenges. Dr. Leigh is actively involved in supervising Masters and PhD students in environmental research. Her work emphasizes innovative data analysis techniques, including machine learning for anomaly detection in environmental sensor data, and has contributed to global understanding of dry river ecosystems' biodiversity and climate impacts. She collaborates internationally on projects addressing carbon cycling in drylands and sustainable water management in agricultural systems like the Mekong Delta. Dr. Leigh's publications span over 50 peer-reviewed articles, with recent work highlighting advancements in high-frequency water quality monitoring frameworks and the ecological consequences of anthropogenic salinization. She advocates for holistic approaches integrating ecological, hydrological, and statistical methodologies to inform environmental policy and conservation strategies.

Amy GelmiView profile

Senior Lecturer

• Biomedical Engineering
• Nanotechnology
• Analytical Chemistry
• +3 more

Dr. Amy Gelmi is a Senior Lecturer at RMIT University’s School of Science, specializing in biomedical engineering and nanotechnology. Her research focuses on advanced biomaterials, neural interfaces, and stem cell therapies for tissue regeneration. RMIT University, School of Science Senior Lecturer Research in biomedical engineering, nanotechnology, and analytical chemistry Coordinator for Chemistry for Food and Life Sciences courses Her research integrates multimodal approaches to engineer bioactive scaffolds, including 3D-printed thermoresponsive polymers , laser-patterned diamond electrodes , and bioelectronic platforms for neural and cardiac tissue engineering. Key themes include mechanotransduction, electrochemical stimulation, and epigenetic regulation in stem cell differentiation. A notable trend in her publications involves stimuli-responsive biomaterials that enable precise control over cellular behavior through physical cues like microgroove topography, high-frequency nanomechanostimulation, and conductive substrates. These works emphasize applications in tissue repair, stem cell programming, and bioelectronic devices. Teaching roles include coordination of Chemistry for Food and Life Sciences and Science Honours Research Methods . Collaborative projects span biofabrication, quantum sensing with nanodiamonds, and advanced hydrogel systems for regenerative medicine.

Strahinja DosenView profile

Professor

• Rehabilitation Engineering
• Robotics
• Myoelectric Control
• +6 more

Strahinja Dosen is a Professor and Head of Research Group in the Department of Health Science and Technology at Aalborg University's Faculty of Medicine. His research focuses on neurorehabilitation systems, particularly in rehabilitation engineering, robotics, and human-machine interfaces. He holds a PhD in Biomedical Engineering from Aalborg University (2009) and serves as a Visiting Professor at the University of Novi Sad. His work addresses cutting-edge topics like myoelectric control, brain-machine interfaces, artificial sensory feedback, and functional electrical stimulation. Key projects include the development of closed-loop robotic prostheses and sensory feedback systems for amputees. Dosen has led over 17 research projects, including the PERSONIFY initiative on powered ankle prosthesis control and the DexterHand bionic prosthetics platform. With 216+ publications, his research emphasizes improving prosthetic control through electrotactile/haptic feedback, 5G-enabled bionic limbs, and stroke rehabilitation robotics. He collaborates internationally on neurorehabilitation technologies and has been featured in media for innovations like thought-controlled prosthetics and robotic rehabilitation systems. Grants and collaborations include EU-funded projects and industry partnerships. His team's work contributes to UN Sustainable Development Goals related to health and innovation. Dosen advises on 6 PhD students and actively participates in academic workshops and editorial roles in haptics and prosthetics.

• CO2 Capture Technology
• Calcium Looping Process
• Thermochemical Energy Storage
• +3 more

Carla Isabel Costa Pinheiro is an Assistant Professor at the Department of Chemical and Biological Engineering, Instituto Superior Técnico (IST), University of Lisbon. She specializes in sustainable process engineering with a focus on CO₂ capture technologies using calcium looping, thermochemical energy storage, and catalytic processes. Her work integrates computational modeling, process optimization, and control systems design. Education & Professional Background: PhD in Chemical Engineering (assumed based on academic rank) Postdoctoral experience in process systems engineering Research Interests: Her research addresses decarbonization challenges through innovative process designs, including utilization of industrial wastes as sorbents, solar energy integration in chemical processes, and advanced control strategies for complex systems. Key areas include: Calcium looping cycle optimization CO₂ capture from cement industry emissions Fluidized bed reactor modeling Process intensification via reactive distillation Dynamic simulation of FCC units Key Projects: CaReCI Project: Developed sustainable CO₂ capture solutions using calcium looping with industrial waste materials Modeling of ethyl tert-butyl ether (ETBE) production processes Control strategies for biodiesel extraction columns Thermal energy storage systems for CSP plants Teaching Contributions: Teaches Introduction to Process Control and integrates model predictive control projects into master's programs. Co-developed CAPE-based curriculum for chemical engineering education. Labs & Collaborations: Active in interdisciplinary teams at IST's Chemical Engineering Department, collaborating with industry partners on pilot-scale projects. Leads research groups focused on renewable energy systems and industrial sustainability.

• Analytical Chemistry
• Chemometrics
• Proteomics
• +3 more

Lutgarde Buydens is a Full Professor and head of the Analytical Chemistry department at Radboud University in the Netherlands, within the Faculty of Sciences and Institute for Molecules and Materials. She has maintained a continuous academic career at Radboud University since 1989 and served as Vice Dean of the Faculty of Science from 2012-2015. Her educational background includes a Pharmacy degree (1978, cum laude) and PhD (1986, cum laude) from the Brussels Free University in Belgium, with doctoral research on "Structure activity relationships" under Prof. Luc Massart and Prof. Paul Geerlings. Prior to joining Radboud, she completed postdoctoral work at the University of Illinois Medical Center in Chicago (1982-1983) and research at the Free University of Brussels (1984-1988). Professor Buydens specializes in developing novel methods for chemometric data handling and interpretation of complex multivariate data in chemical and biological fields. Her research philosophy emphasizes methodological work valuable across application areas, with focus on application-oriented research that validates methods for pioneering science. Her work spans analytical chemistry, chemometrics, proteomics, metabolomics, and chemical data sciences, with particular attention to data that doesn't exhibit well-behaved statistical characteristics. Her publication record includes 264 scientific papers, 4 handbooks, and 270 conference papers, with 30% published in top 10% impact factor journals. Her work has received over 12,100 citations (Google Scholar), with an h-index of 51. Notably, her publications rank her 6th among chemometricians and 24th among analytical chemists globally, placing her in the top 2% of researchers worldwide in her field. EAS award for outstanding achievements in Chemometrics (2012) Christophe Plantin Award for outstanding accomplishments of a Belgian citizen abroad (2000) Honorary member of Italian Chemometric Society (1995) First Elsevier Chemometrics Award for young scientists (1992) Ranked 24th in The Analytical Scientist's Power List 2013 and 2015 (top 100 most influential people in analytical sciences) Professor Buydens has led research through numerous (inter)national collaborative projects, including five European Collaboration Consortia. Her iconic "blue chemometrics books" (Handbook of Chemometrics and Qualimetrics) serve as reference materials in the field with over 3,300 citations. Her work bridges theoretical method development with practical applications in chemistry and biology, demonstrating consistent excellence that has established her as a world leader in chemometrics and analytical chemistry.

• Data Science & Analytics
• Data Mining
• Computational Statistics
• +5 more

Inci Batmaz is a Professor of Statistics at the Middle East Technical University (METU) in Ankara, Turkey. She holds a dual Ph.D. in Computer Engineering (Ege University, Turkey) and a Dissertation from Carnegie-Mellon University (USA) as a Fulbright Scholar. Her academic career includes roles such as Chair of the Department of Statistics (2012–2015), Graduate Program Coordinator, and membership in various institutional boards. She has been affiliated with the Financial Mathematics Program at METU's Institute of Applied Mathematics since 2003. Her research focuses on Data Science & Analytics, Data Mining, Computational Statistics, Machine Learning, and Environmental Statistics. She has published extensively in top journals and edited volumes, including Recent Advances in Statistics (2007) and contributed to climate change studies, financial modeling, and simulation metamodeling. Dr. Batmaz has been recognized with multiple awards, including METU Publication Awards (2007–2016), TÜBİTAK Fellowships, and the Netherlands National Research Foundation Grant (2002). Her work bridges statistical methodology with real-world applications in climate science, finance, and industrial quality improvement.

• General Surgery
• Emergency Surgery
• Medical Education
• +8 more

Alan De Costa is a Researcher at James Cook University , focusing on General Surgery , Emergency Surgery , and Medical Education . His work includes developing predictive models for surgical outcomes and cadaveric simulation for surgical training. Research interests include: Gastrointestinal Surgery (appendicitis, open abdomen management) Rural Health (breast cancer outcomes, regional surgical training) Medical Education (simulation training, informed consent challenges) Critical Care (sepsis modeling, trauma surgery) Colorectal Disease (megacolon, diverticulosis) Predictive Modeling (cholecystectomy conversion, fistula risk) His recent articles analyze emergency surgical techniques , sepsis mortality , and cadaveric training models . Collaborations with Ronny Gunnarsson , Adam Cristaudo , and Josephine de Costa highlight interdisciplinary and regional healthcare focus. Additional contributions include public health research for rural cancer survival, trauma simulation development, and medical ethics studies on informed consent.

Isabelle ThomasView profile

Professor

• Quantitative geography
• Economic geography
• Transport geography
• +5 more

Isabelle Thomas is Research Director at the Belgian National Fund for Scientific Research (F.R.S-FNRS) and since 2013 Professor (extraordinary) in the Department of Geography at Université catholique de Louvain (UCL) , Louvain-la-Neuve, Belgium. She is also the former scientific director (2016-2019) of the multidisciplinary research centre C.O.R.E. at UCL. Education Bachelor in Geography, University of Namur, Belgium Master in Geography, Université catholique de Louvain, Louvain-la-Neuve PhD in Geography, UCL (1984) – awarded the Philippe Aydalot Prize 1989 Thèse d’Agrégation (second doctoral thesis), UCL (2000) – awarded the BMW Scientific Prize 2001 Research Interests Prof. Thomas’s work lies at the intersection of quantitative geography, economic geography, transport geography and cartography . She models the location of human activities and the sensitivity of such models to inputs, scrutinises transportation fluxes and the spatial structure of socio-economic phenomena, and develops advanced quantitative methods for urban spatial data. Current emphases include scale effects, MAUP, spatial autocorrelation, big-data analytics, multivariate modelling and innovative mapping procedures. Applications span peri-urbanisation, road-accident analysis, housing, employment, health, accessibility and socio-economic data , all within European urban and peri-urban contexts. Scientific Awards & Distinctions RSAI Fellow (2019) Edward L. Ullman Award, AAG Transportation Geography Specialty Group (2017) Belgian Francqui Chair, University of Antwerp (2015) Compagnie du Bois Sauvage Award for best multidisciplinary scientific project (2012) BMW Scientific Prize – “Innovations for a Mobile Future” (2001) SAS Best Graph and Cartography Award (1990) Philippe Aydalot Prize in Regional Science (1989) Research Leadership & Networks She leads or participates in numerous national and international projects and networks (S4, ECTQG, ERSA, NARSC, NECTAR, …) and serves on editorial boards and as referee for leading journals in geography, spatial economics and regional science. Her research has yielded more than 250 publications and over 300 conference presentations.

Panagiotis D. RitsosView profile

Senior Lecturer

• Human-Computer Interaction
• Immersive Analytics
• Virtual Reality
• +4 more

Dr. Panagiotis D. Ritsos is a Senior Lecturer in Visualization and Director of Research at the School of Computer Science and Engineering, Bangor University, UK. He holds a Visiting Fellowship at the University of Staffordshire's School of Digital, Technologies and Arts. His academic credentials include an MEng in Electronic Systems Engineering (University of Essex, 2000), a PhD in the same field (Essex, 2006), and a Postgraduate Certificate in Higher Education (2016). His research explores human-computer interaction with emphasis on immersive analytics , virtual/augmented reality (XR) , and information visualization . Key applications span environmental science, pandemic response, cultural heritage, and education. His work emphasizes multi-sensory interfaces, ubiquitous data interaction, and beyond-desktop visualization paradigms. Publications focus on XR-enabled analytics , collaborative visualization systems , and crisis informatics , with recurring themes in adaptive interfaces, situated analytics, and transdisciplinary methodologies. Recent articles address pandemic visualization, AR view management, and immersive storytelling. He leads the XReality, Visualization and Analytics (XRVA) Lab and co-directs the Visualization, Data, Modelling and Graphics (VDMG) group. Grants include: BODAH (EU Interreg): Big Data for Atlantic heritage management (2019–2022, PI) RAMP VIS (EPSRC): Pandemic visualization infrastructure (2021–2022, Co-I) Water4Cities (H2020): Sustainable water management (2017–2021, Co-I) He supervises doctoral candidates in visualization, machine learning, and natural language processing, and has mentored over 75 undergraduate/postgraduate projects.

• Inclusive Physical Education
• Motor Skills Development
• Autism Spectrum Disorder
• +3 more

Sara Scharoun Benson is a Professor in the Department of Kinesiology at the University of Windsor's Faculty of Human Kinetics. Her research focuses on inclusive physical education, motor skill development in children with Autism Spectrum Disorder (ASD), and accessibility in fitness facilities. She has secured over $4.1 million in federal research grants to advance her work. Education: No specific academic credentials listed in the provided text. Research interests include exploring the interplay between motor and social skills in neurodivergent children, promoting physical literacy in elementary students, and designing inclusive fitness environments. Recent studies investigate how adaptive exercise programs affect volunteers and caregivers, as well as the role of teacher training in fostering inclusive physical education practices. Her 2025 articles emphasize accessibility barriers in gyms, participation patterns among children with disabilities, and interventions to enhance fundamental movement skills. Earlier work (2023-2024) examines motor planning in children and cross-sectional analyses of motor control across age groups. Scientific Awards: No specific awards listed beyond grant funding Advising and grants: Supervised Master's student Danielle Salters. Her research group collaborates with communities to implement programs like adaptive exercise initiatives and walking school buses in Northeastern Ontario. Recent studies highlight caregiver perspectives on activity participation and the impact of ASD comorbidities on development. Labs/Teams: Engaged with interdisciplinary teams in pediatric exercise science, disability studies, and facility design. Collaborates with organizations to translate research into practical solutions for inclusive fitness environments.