Find Academic Supervisors

Selina WangView profile

Professor

• Food Science
• Food Chemistry
• Agricultural Chemistry
• +3 more

Selina Wang is a Professor and Department Vice-Chair in Food Science and Technology at the University of California, Davis. Her research focuses on chemical quality, purity, and nutritional parameters in fruit and vegetable post-harvest processing, with an emphasis on olive and avocado oils. She leads the Wang Laboratory, specializing in developing detection methods for adulteration, optimizing processing techniques, and identifying quality markers. Dr. Wang holds a Ph.D. in Physical Organic Chemistry from UC Davis (2008) and a B.A. in Chemistry from UC Santa Cruz (2003). Her work bridges academia and industry, collaborating with growers, processors, and government agencies to address food quality challenges. Her research interests include olive oil quality assessment, phenolic compound analysis, and the development of rapid analytical tools. Recent work explores antimicrobial applications of olive byproducts and oxidation mechanisms in plant oils. She has authored over 150 publications, with a focus on food chemistry, analytical methods, and agricultural product quality. Notable awards include the 2024 Timothy L. Mounts Award from the American Oil Chemists Society and the 2021 Excellence in Research Award from UC Davis. Her extension activities include educational workshops and one-on-one consultations on food quality standards.

Mark WilsonView profile

Senior Lecturer

• Theoretical Computer Science
• Network Science
• Computational Social Choice
• +3 more

Mark Wilson is a Part-time Senior Lecturer at the University of Massachusetts Amherst, affiliated with the College of Information and Computer Sciences. His research focuses on Theoretical Computer Science, Network Science, and Computational Social Choice, with emphasis on signed networks, collective decision-making algorithms, and asymptotic analysis. He holds a PhD in Mathematics from the University of Wisconsin-Madison and has extensive experience in academia, previously serving at the University of Auckland’s Department of Computer Science. Wilson’s work bridges mathematics and social sciences, analyzing networks via graph models and real data. Key areas include structural balance in signed networks, legislative citation analysis, and algorithmic performance evaluation. He leads a 2019–2021 NSF-funded project linking brain structure, individual decisions, and group dynamics through experiments and simulations. His advocacy spans open access publishing reforms, including co-founding the Free Journal Network and drafting the Fair Open Access Principles. His research collaborations include projects with Caterina Stamoulis, Jie Gao, and others. He actively mentors students like Samin Aref and Neda Sakhaee, whose work appears in journals such as Artificial Intelligence and Law and Networks. Wilson’s contributions also extend to improving scholarly communication systems through initiatives like the MathOA Foundation and Tasman Declaration on Open Research.

Christian RohrbeckView profile

Senior Lecturer

• Extreme Value Analysis
• Spatial Statistics
• Environmental Statistics
• +3 more

Dr. Christian Rohrbeck is a Senior Lecturer in the Department of Mathematical Sciences at the University of Bath. He holds a PhD in Statistics and Operational Research from Lancaster University and leads projects in statistical climatology through the EPSRC Centre for Doctoral Training in Statistical Applied Mathematics and Centre for Climate Adaptation & Environment Research. His research combines extreme value theory, spatial statistics, and Bayesian methods to analyze environmental and financial data. Current projects focus on flood risk modeling, climate extremes standardization, and monotonic regression techniques. Dr. Rohrbeck accepts doctoral students in extreme value analysis, flood risk, and climate adaptation statistics.

• Medical Imaging
• Cardiovascular Diseases
• Diabetes Research
• +3 more

Sing Lee is a Clinical Lecturer at the Department of Internal Medicine, UWA Medical School, The University of Western Australia. He also serves as a Medical Registrar at Royal Perth Hospital since 2015. His academic qualifications include an MBBS (Hons) from 2013, BMedSci (Hons) in immune system changes during asthma exacerbations (2008), and a BSc from UWA (2007). Lee's research focuses on cardiovascular and metabolic diseases, particularly using PET/CT imaging to study coronary artery calcification, diabetic complications, and vascular health. Key areas include the role of fluorine-18 tracers, bone metabolism in diabetes, and breast arterial calcification's link to cardiovascular risk. His recent work includes analyzing AI-driven radiomics for coronary arteries, evaluating colchicine and vitamin K1 effects on diabetic bone metabolism, and investigating determinants of diabetic retinopathy progression during pregnancy. Lee has contributed to 10+ peer-reviewed articles and one dataset on breast arterial calcification. He led the Springboard Grant (2019) exploring physical activity's impact on coronary artery calcification in diabetic patients. Collaborations span radiology, endocrinology, and epidemiology, with international readership and media coverage for his cardiovascular research.

• Colorectal Surgery
• Diverticular Disease
• Anorectal Conditions
• +3 more

Adrian E. Ortega, MD, is a Clinical Professor of Surgery at the University of Southern California, affiliated with the LAC+USC Medical Center. He graduated from Harvard Medical School and completed surgical and colorectal training at USC. Education: Harvard Medical School, University of Southern California surgical training His research focuses on diverticular disease , anorectal conditions , and colon/rectal cancer . His recent publications span surgical techniques, postoperative outcomes, and historical perspectives in colorectal surgery. Key article trends include minimally invasive procedures , management of complex colorectal pathologies , adolescent health interventions , and surgical education methodologies . As a clinician educator, Dr. Ortega mentors fellows, residents, and medical students in surgical training and procedural skills assessment.

Christian OliversView profile

Professor

• Cognitive Psychology
• Visual Working Memory
• Attention
• +3 more

Prof. Christian Olivers is a Full Professor at the Faculty of Behavioural and Movement Sciences , Department of Experimental and Applied Psychology, Vrije Universiteit Amsterdam. He holds an honorary position at IBBA and is a member of CCMO (Den Haag). Education: PhD in Cognitive Psychology from the University of Birmingham (2001), focusing on Representations and Resources in Visual Marking. Research Interests: His work centers on Visual Working Memory , Attention , and Eye Movements . He explores how cognitive processes like attentional selection and memory interact with visual perception, using EEG/MEG and behavioral methods. Recent studies include action planning's impact on memory prioritization and feature-space dynamics in visual cognition. Awards: He has received prestigious awards such as the APA Early Career Award (2009) and APA New Investigator Award (2005), alongside contributions to SDG-related research. Grants & Projects: Principal Investigator on projects like PERISCOPE (2017–2024) and ERC CoG TEMPLATE 2.0 (2014–2019). Current research includes Developing sensory-cognitive predictors of everyday functioning with visual impairment (2023–2025). Labs & Teams: Contributes to interdisciplinary labs, including collaborations on EEG/MEG tool development (e.g., ADAM toolbox). Supervised 16 PhD theses, mentoring future researchers in cognitive neuroscience.

Yanling DengView profile

Research Fellow

• Environmental Health
• Epidemiology
• Climate Change
• +3 more

Dr. Yanling Deng is a Research Fellow in the Gangarosa Department of Environmental Health at Emory University. Her work focuses on two core areas: the impact of climate change-related environmental factors on chronic diseases in older adults, particularly dementia and depression, and the effects of environmental chemicals on reproductive health outcomes. She co-founded the Tongji Reproductive and Environmental (TREE) study, a cohort examining how exposure to environmental pollutants and lifestyle factors influence fertility and pregnancy outcomes among couples undergoing assisted reproductive technologies in China. Dr. Deng holds a BS from the University of South China and a PhD from Huazhong University of Science and Technology. Her research integrates epidemiological methods with biomarker analysis to assess chemical exposure pathways and health consequences. Key studies include investigations into disinfection byproducts in drinking water, phthalates, and polycyclic aromatic hydrocarbons. She has contributed to over 50 peer-reviewed publications since 2018, emphasizing interdisciplinary approaches to environmental health challenges. Her research portfolio reveals a strong focus on air pollution components (PM2.5, ultrafine particles), waterborne contaminants, and endocrine disruptors. Recent work highlights disparities in wildfire smoke-induced dementia risks among Medicare populations and mechanisms linking phthalate exposure to coagulation dysfunction in fertility treatments. Collaborations with global health networks like the Household Air Pollution Intervention Network (HAPIN) underscore her commitment to translational research addressing population-level health inequities.

• Raman Spectroscopy
• Biomedical Optics
• Environmental Analysis
• +3 more

Dr. Freek Ariese is an Associate Professor at Vrije Universiteit Amsterdam, affiliated with the Faculty of Science. He holds dual appointments in the Biophotonics and Medical Imaging department and the LaserLaB - Biophotonics and Microscopy research group. His research focuses on advanced spectroscopic and microscopic techniques, particularly Raman spectroscopy and its applications in biomedical optics and environmental analysis. He teaches courses such as Advanced Spectroscopy, Microscopy Techniques for MNW, and Spectroscopic Analysis. Ariese has supervised 17 PhD theses, reflecting his active role in mentoring early-career researchers. His research interests span Raman spectroscopy methodologies, including hyperspectral imaging, nanoscale plastic detection, and non-invasive biomedical diagnostics. He has contributed to the development of versatile Raman setups and analytical frameworks for real-time environmental monitoring. Ariese has collaborated on projects addressing environmental contaminants and has participated in interdisciplinary initiatives like UN Sustainable Development Goals-related work. His datasets, such as CCDC 1430105, highlight contributions to crystal structure analysis.

• Neuroscience
• Psychology
• Cognitive Psychology
• +7 more

Johannes Fahrenfort is an Assistant Professor at the Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, with a focus on cognitive psychology and neuroscience. His research explores the neural mechanisms underlying perception, decision-making, and consciousness. Key Research Areas: Metacognition, Working Memory, Electroencephalography (EEG), Functional MRI, and the interplay between conscious and unconscious processing. Recent Projects: Templeton Grant on statistical frameworks for unconscious cognition, Advanced Human Capital Program grant on cognitive neuroscience, and PERISCOPE on visual search and peripheral vision. Research Trends: His recent articles investigate decision-making confidence, neural decoding of working memory, catecholamine effects on perception, statistical rigor in consciousness studies, and arousal-dependent cognitive performance. Keywords span Neuroscience , Psychology , and Neural Oscillations . Scientific Awards: A.F. Sandersprice (2007), Best Lecturer for the Research Master Psychology (2019), and Open Science Award FBMS (2024). Academic Contributions: Frequent lecturer in Cognitive Neuroscience, co-supervisor of PhD theses, and creator of open-access datasets and software tools for EEG analysis.

• Injury Prevention
• Sports Medicine
• Epidemiology
• +3 more

Kyra Cloosterman is a Researcher at Erasmus MC's Department of General Practice, focusing on injury prevention in sports, particularly running-related injuries. Her work emphasizes epidemiology, biostatistics, and sports medicine, with a focus on sex differences, training load management, and prevention strategies. Her doctoral thesis On the run for running-related injuries... (2024) explores injury consequences, training load impacts, and prevention methods. Key research areas include Achilles tendinopathy epidemiology, acute training load assessment, and randomized controlled trials evaluating prevention programs. Methodologies include prospective cohort studies, regression analysis, and GPS-based workload tracking. Publications highlight trends in identifying risk factors for injuries using statistical models and evaluating intervention effectiveness. Despite extensive research output, no scientific awards are explicitly mentioned. No student advisees were listed.

• Applied Statistics
• Biostatistics
• Machine Learning
• +3 more

Dr Emmanuel Ogundimu is an Associate Professor in the Department of Mathematical Sciences at Durham University and a Fellow of the Wolfson Research Institute for Health and Wellbeing. His research focuses on Applied Statistics, Biostatistics, Machine Learning, and Causal Inference, with emphasis on Missing Data Methodology and Models for Rare Events. His work bridges statistical theory and practical applications in healthcare, finance, and social sciences. Key contributions include methodological advancements in sample selection models, penalized regression techniques, and handling non-random samples in credit scoring. He has published extensively in top-tier journals and co-edited the book Developments in Statistical Modelling (2024). Dr Ogundimu collaborates across disciplines, leading studies such as the Understanding Repetitive Behaviours clinical trial (2025) and the NED APRIQOT colonoscopy performance trial (2024). His research emphasizes robust statistical methods for improving healthcare outcomes and predictive modeling accuracy in rare event scenarios. He advises three graduate students: Adam Iqbal, Adam Stone, and Duaa Nadhrah. His work has been featured in journals like Statistical Modelling , Statistics in Medicine , and Clinical Gastroenterology and Hepatology .

• Climate Science
• Climatology
• Environmental Science
• +3 more

Ed Hawkins is a Professor specializing in climate science, with research focusing on climate change detection, historical climate data rescue, and climate communication. His work involves collaborations with global institutions like the IPCC and the Met Office, emphasizing the translation of complex climate data into actionable insights for policymakers and the public. Research Interests: Hawkins' research spans climate modeling, Arctic dynamics, extreme weather attribution, and citizen-science-driven data digitization. Key themes include: Climate change emergence and detection in observational records Decadal-scale climate predictability and Arctic sea ice projections Rescuing historical weather data through volunteer initiatives Communicating climate risks via visual tools (e.g., warming stripes) His recent publications analyze trends in climate extremes, hydrological changes under high-emission scenarios, and strategies for improving societal resilience to unprecedented weather events. The work consistently integrates physical climate science with practical applications in risk management and policy. No awards, students, or institutional affiliations are detailed in the provided text.

• Control Systems
• Robotics
• Aerospace Stability
• +3 more

Dr. Sahjendra Singh is a Professor in the Department of Electrical and Computer Engineering at the University of Nevada, Las Vegas. His research focuses on control theory applications to aerospace systems, including spacecraft attitude control, unmanned aerial vehicles, and aeroelastic systems. Research expertise encompasses adaptive control methodologies for aircraft maneuvers, spacecraft orbital dynamics, and robust control of nonlinear systems. Recent publications demonstrate advancement in composite adaptive techniques using regressor excitation methods for parameter estimation in complex aerospace environments. Article trends show consistent development of control algorithms for asteroid-orbiting spacecraft, wing-rock suppression in aircraft, and parameter identification in marine systems. Notable innovations include logarithmic manifold-based attitude control and multifold regressor approaches for aeroelastic system identification.

• Computational Neuroscience
• Systems Neuroscience
• Neural Circuits Characterization
• +7 more

Matthew Smith is a Professor in Biomedical Engineering and Neuroscience Institute with a focus on computational and systems neuroscience. As Co-Director of the Center for the Neural Basis of Cognition, his research explores neural circuits, motor control, and spatial cognition. His work bridges experimental and computational methods, including studies on neural plasticity, electrophysiological recordings, and non-invasive neurostimulation techniques. Key contributions include advancing methods for estimating intracranial pressure and optimizing brain stimulation protocols. His interdisciplinary approach integrates machine learning, statistical analysis, and neuroimaging to understand complex brain functions. Research interests span neural coding mechanisms, visual perception dynamics, and the interplay between arousal systems and motor planning. Notable projects include investigations into V4 neuronal activity modulation by recent experience and the development of compact deep neural network models for visual cortex analysis. Smith’s lab employs advanced signal processing tools, such as SLEX analysis and latent dynamic factor modeling, to decode high-dimensional neural data. His recent publications highlight breakthroughs in understanding working memory robustness, transcranial ultrasound modulation specificity, and the spatial organization of prefrontal cortical networks. While no formal awards are listed, his extensive grant-funded research includes collaborations on cerebral autoregulation studies and neurovascular impedance modeling. Advising activities focus on training interdisciplinary PhD candidates in systems neuroscience and neural computation.

Anastasios KoidisView profile

Assistant Professor

• Food Integrity
• Food Chemistry
• Food Authentication
• +8 more

Anastasios (Tassos) Koidis is an Assistant Professor in the Department of Chemistry at the University of Ioannina, specializing in Food Chemistry and Industrial Chemistry. Previously, he served as an Assistant Professor at Queen’s University Belfast (School of Biological Sciences) from 2010 to 2024. His research focuses on food integrity, sustainability, and advanced analytical techniques such as spectroscopy, machine learning, and multi-omics. He has extensive experience in food authentication, lipid chemistry, and sensor technology applications. Education includes a BSc in Chemistry (Aristotle University of Thessaloniki), MSc in Food Science (University of Reading), and a PhD from Aristotle University. He held a postdoctoral position at TEAGASC, Ireland. Research interests span food authentication via spectroscopy, lipid analysis (e.g., olive and palm oils), multivariate data analysis, functional food bioactives, and novel processing technologies. He has over 100 peer-reviewed publications and serves on editorial boards, including Food Chemistry Advances . He contributed to EU projects like STARTEC and has leadership roles in ISO technical committees. Professional engagements include reviewing for UKRI and Hellenic grants, academic advising for Commonwealth scholarships, and keynote speaking at international conferences on food fraud detection and lipid analysis. Key achievements include developing analytical methods for food adulteration, leading ISO standards for fats and oils, and advising on food safety policies. His work bridges technology and policy to enhance food quality and safety globally.