جستجوی استاد راهنمای دانشگاهی

Kira McEntireمشاهده پروفایل

استادیار

• Behavioral Ecology
• Conservation Biology
• Wildlife Ecology
• +۷ مورد دیگر

Kira McEntire is an Assistant Professor in the Biology & Chemistry Department at Queens University of Charlotte, within the College of Arts & Sciences. She previously served as a Visiting Assistant Professor at Trinity University and completed her Ph.D. at the University of Georgia's Warnell School of Forestry and Natural Resources. Education: Ph.D., Wildlife Ecology, University of Georgia B.A., Biology and Environmental Studies, Southwestern University Dr. McEntire is broadly interested in behavioral ecology, conservation, and the integration of physiology and behavior with population and landscape ecology. She is particularly passionate about using agent-based modeling (ABM) to explore complex biological systems, with a focus on reptiles and amphibians. Her research investigates individual variability, phenotypic polymorphisms, and the impacts of environmental factors like temperature on development and behavior, especially in salamanders. Her recent publications reflect a strong interdisciplinary trend, combining ecophysiological data with computational modeling to understand species responses to climate change and habitat alteration. Themes across her work include conservation applications, mechanistic modeling, and collaborative science aimed at integrating modeling into broader ecological research. Scientific Awards: Outstanding Teaching Assistant Dr. McEntire is deeply committed to pedagogy, employing best teaching practices and game-based learning. She mentors students in research, particularly in projects involving behavioral ecology and modeling. Her collaborations span multiple institutions and disciplines, including work on sustainability in rural India and mathematical modeling in biological systems. She has contributed to projects involving wild turkeys, anoles, gopher frogs, and various salamander species. She is actively involved in the scientific community, serving as an Associate Editor for Southeastern Naturalist , and maintains a robust research network with over 50 co-authors and significant citation impact.

• Sport and Exercise Biomechanics
• Motor Control
• Gait Analysis
• +۷ مورد دیگر

Jon Wheat is a Professor of Sport and Exercise Biomechanics at Nottingham Trent University, actively contributing to research in biomechanics and sport science. His work focuses on human movement, performance optimization, injury prevention, and technological applications in motion analysis. Research Interests: His primary research areas include sport and exercise biomechanics, motor control, gait and cycling biomechanics, load carriage, wearable sensors, and markerless motion capture. He investigates movement variability, coordination synergies, and the effects of constraints on performance across diverse populations including athletes, stroke survivors, and individuals with multiple sclerosis. The recent articles reflect a strong trend in applying biomechanical analysis to real-world contexts—such as overground running, boxing, cycling, and military load carriage—often using advanced technologies like depth cameras, electromagnetic tracking, and wearable accelerometers. There is a recurring emphasis on reliability, feasibility, and the translation of laboratory methods to field settings. Collaborations: Extensive collaborations with researchers in biomechanics, rehabilitation, and sports science (e.g., Ben Heller, Kane Middleton, Keith Davids, Stephen Churchill). Interdisciplinary work involving engineering, computer vision, and clinical applications. Advising and Grants: While no specific students or grants are listed in the provided data, his frequent co-authorship with early-career researchers and involvement in applied studies suggest active mentorship and potential grant-funded research. His publications span high-impact journals, indicating sustained research productivity and external support. Labs and Teams: Although no formal lab name is mentioned, his work on 3D motion capture, depth cameras, and wearable sensors suggests involvement in a biomechanics or human performance laboratory at Nottingham Trent University, likely integrated within the Sport Science department.

• Health Law
• Bioethics
• Digital Health Law
• +۴ مورد دیگر

Marina Morla González serves as an Assistant Professor in the Department of Public Law at the Faculty of Law, University of León, specializing in the intersection of health law, bioethics, and digital technologies within constitutional and ecclesiastical frameworks. Her academic credentials include: Doctorate from the University of León (2023) with thesis El derecho de la libertad de conciencia ante el empleo de terapias digitales para el cuidado de la salud , supervised by Dr. Salvador Tarodo Soria and Dr. Paulino César Pardo Prieto Her research centers on Health Law and Bioethics , with critical examinations of organ donation systems, digital therapeutics, euthanasia, and obstetric violence. She investigates Digital Health Law through the lens of patient autonomy and constitutional protections, while maintaining strong connections to Ecclesiastical Law and European legal frameworks . Her work frequently addresses tensions between individual rights and public health imperatives, particularly regarding freedom of conscience in healthcare contexts. Analysis of her 15 most recent publications (2016-2021) reveals consistent focus on health law crises, with 73% addressing organ donation ethics and 60% examining digital health technologies. Her scholarship demonstrates strong European comparative methodology, particularly in constitutional interpretation of health rights, and increasingly engages with gender perspectives as seen in her CEDAW-related work on obstetric violence. No scientific awards were documented in the provided materials. Dr. Morla González contributes to research groups including EUROHIST.org (European Law, Legal History, and Social Organizations) and previously participated in INNAIN's migration flow regulation studies. Her pedagogical innovations in flipped classrooms for conscience-related law courses demonstrate commitment to legal education reform, though specific grant funding details remain unreported. She maintains active research collaborations through EUROHIST.org's interdisciplinary network examining historical and contemporary European legal institutions, with recent work connecting digital health governance to ecclesiastical law traditions.

Cezary Czaplewskiمشاهده پروفایل

استاد

• Coarse-grained molecular modeling
• Protein structure prediction
• Molecular dynamics simulations
• +۳ مورد دیگر

Professor Cezary Czaplewski of the University of Gdańsk is a leading researcher in computational chemistry and coarse-grained molecular modeling. Affiliated with the Faculty of Chemistry and the Department of Theoretical Chemistry , he heads the UNRES server for protein simulations and contributes to projects like Multi-GPU UNRES and MAGENTA . His work bridges physics-based simulations with experimental data integration. Key roles : Professor, Computational Biophysics, University of Gdańsk Projects : EuroHPC PL, Harmonia9, Enerliq, Parylens Research Focus : His research spans coarse-grained modeling , protein structure prediction , and hydrophobic interaction studies , with applications in virology (SARS-CoV-2), antimicrobial peptide design, and large-scale biomolecular simulations. He specializes in GPU-accelerated algorithms and multi-GPU implementations for scalable systems. Teaching : Currently teaches Molecular mechanics & dynamics , Introduction to Python programming , and Parallel programming (Bioinformatics III) . Past courses include Electronic chemical diagnostics and Software in biomacromolecular calculations for PhD students. Scientific Contributions : Developed the UNRES server for polypeptide simulations, extended the UNRES force field to nucleic acids and membrane proteins, and participated in multiple CASP/CAPRI experiments for protein structure prediction. His 2025 publications focus on time-averaged restraints and multi-GPU scalability. Contact : cezary.czaplewski@ug.edu.pl Location : Room B328, Faculty of Chemistry, University of Gdańsk

Line Cordesمشاهده پروفایل

پژوهشگر ارشد

• Population Ecology
• Movement Ecology
• Behavioral Ecology
• +۳ مورد دیگر

Line Cordes is a current Honorary Research Fellow at the School of Ocean Sciences, focusing on marine top predators and their ecological interactions. Previously, she served as a Lecturer in Marine Biology at the same institution and accepts PhD students for research projects. PhD, Demography and Breeding Phenology of Marine Top Predators, University of Aberdeen (2011) MSc, Marine and Fisheries Science, University of Aberdeen (2007) BSc, Marine Science, Coastal Carolina University (2005) Her research spans population ecology, movement ecology, and behavioral ecology, with a strong emphasis on marine top predators' responses to climate change and anthropogenic disturbances. She employs presence-only data for spatial modeling and studies megaherbivore range fidelity. Recent publications highlight her work on shearwater flight energetics, African elephant social disruption impacts, and ungulate population management frameworks. Her research integrates field studies with computational models. She has led projects including seal tagging, seabird energy landscapes, and collaborations with the University of Aberdeen on marine predator studies.

• Data Visualization
• Taxonomic Data Modeling
• Software Systems
• +۶ مورد دیگر

Dr. Robert Kukla is a Senior Research Fellow at the University of Edinburgh Napier 's School of Computing Engineering and the Built Environment , specializing in data visualization, taxonomic data modeling, and software systems. He has led or collaborated on over 20 externally funded projects since 1999, working with organizations like ZoneFox , Plansafe Ltd , and Scottish Woodlands . Education : PhD in Microscopic Pedestrian Movement Modeling (2007, Edinburgh Napier University) His research focuses on interactive visualization tools for complex domains, including: Microarray time-course data analysis (MaTSE software) Taxonomic ontology development for biodiversity informatics Pedestrian flow simulation (PEDFLOW model) Rail freight data management (RKB system) Cybersecurity visualization (2021 VizSec paper) Recent projects (2017-2022) span cybersecurity , archaeological project management , and mobile software for regulatory compliance . He has contributed to TDWG standards for taxonomic data and developed knowledge transfer projects with SMEs through Innovate UK and Scottish Funding Council grants.

• Neuroscience
• MRI
• Brain Imaging
• +۶ مورد دیگر

Benedetta Franceschiello is an Associate Professor at HES-SO Valais-Wallis, part of the School of Engineering (Haute Ecole d'Ingénierie) in Sion, Switzerland. She holds a position in the Department of Information Technology and Engineering, teaching linear algebra courses across multiple bachelor programs including Industrial Systems, Biomedical Engineering, and Environmental Engineering. Her research focuses on computational neuroscience, mathematical modeling of visual perception, and medical imaging techniques like MRI and EEG. Key interests include geometric optical illusions, neural dynamics, and the application of advanced mathematical methods to neuroimaging challenges. She has developed models linking cortical processes to perceptual phenomena, integrating psychophysics with computational neuroscience. Franceschiello's work addresses topics such as MRI signal reliability in brain network analysis, optimization techniques for medical image reconstruction (e.g., LASSO algorithms), and the use of machine learning for analyzing eye-tracking data in neurological disorders like spatial neglect. She has contributed to conferences including ISMRM, ARVO, and OHBM, and her research spans interdisciplinary areas combining mathematics, engineering, and neuroscience. Her recent studies emphasize the synergistic effects of physical stimulus properties in generating visual illusions and the development of automated 3D eye segmentation methods using MRI. Franceschiello's contributions bridge theoretical models with clinical applications, aiming to improve diagnostic tools and neuroimaging standards.

• Applied Machine Learning
• Computer Vision
• Signal Processing
• +۷ مورد دیگر

Overview Manfredo Atzori serves as a Scientific Assistant (Adjoint-e scientifique HES A) at HES-SO Valais-Wallis's Haute Ecole de Gestion. His work focuses on advancing machine learning applications in biomedical engineering, digital pathology, and neuroimaging. He leads development of open-source tools like BIDSAlign for EEG standardization and SelfEEG for self-supervised learning in biomedical signals. Research Interests Atzori's research bridges AI and healthcare, emphasizing: Medical Imaging : Histopathology WSI analysis, artifact correction, and cross-modal fusion Prosthetics Control : sEMG-based gesture recognition and adaptive neural interfaces Deep Learning Methodology : Transfer learning optimization, self-supervised pretraining, and reproducibility frameworks Key Contributions 2024 highlights include: Developed RegWSI - winning ACROBAT 2023 challenge for WSI registration Pioneered multimodal WSI-report integration to halve annotation needs Published benchmark studies on Gleason grading deep learning methods Collaborations Active in international projects with institutions like DeeperHistReg group and OpenNeuro. Tools developed are open-source (GitHub: @manfredoatzori) to advance reproducible research practices.

• Cognitive Science
• Decision Making
• Risk and Bias Management
• +۵ مورد دیگر

Tom Stafford is a Professor of Cognitive Science at the University of Sheffield's School of Psychology. He serves as Director of Postgraduate Taught Programmes (PGT) and leads research in decision-making, bias management, skill learning, and open research practices. His work integrates computational modeling, neuroscience, and interdisciplinary collaboration to explore cognitive processes in complex scenarios. Stafford is actively involved in institutional roles promoting transparent research practices, including his leadership in the Research on Research Institute (RoRI) and the University's Open Research initiatives. Research Interests: Stafford's core interests include decision-making under uncertainty, risk perception, and the application of cognitive science to real-world problems like political advertising and addiction recovery. He emphasizes data-intensive methods, interdisciplinary collaboration, and public engagement to ensure research relevance. Recent projects focus on value-based decision-making in addiction and the psychological mechanisms underlying reasoning and persuasion. Grants & Collaborations: Stafford has secured significant funding, including MRC grants for alcohol use disorder research, EPSRC support for dialogue systems enhancing open-mindedness, and Leverhulme Trust funding on implicit bias. He collaborates across disciplines, involving neuroscience, computer science, and policy studies. His work often involves large-scale datasets and innovative experimental designs, such as leveraging online gaming data to study skill acquisition. Labs & Teams: Stafford contributes to the University's Neuroscience Institute and leads interdisciplinary teams in open research methodologies. He co-developed tools like the 'Faith in Reason' scale and frameworks for distributed peer review in funding allocation.

Madelon Van de Kerkمشاهده پروفایل

استادیار

• Wildlife Ecology
• Quantitative Ecology
• Conservation Biology
• +۳ مورد دیگر

Dr. Madelon Van de Kerk serves as Director of the MS in Ecology program and Assistant Professor of Wildlife Ecology at Western Colorado University's Clark Family School of Environment & Sustainability. A Netherlands native who moved to the U.S. in 2011, she joined Western in summer 2021 after conducting wildlife research across diverse global ecosystems from Indonesia to Alaska. Her academic credentials include: PhD in Wildlife Ecology and Conservation from University of Florida (2016) MSc in Animal Ecology and Conservation from Radboud University Nijmegen (2009) BSc in Biology from Utrecht University (2007) Dr. Van de Kerk specializes in quantitative approaches to wildlife conservation, having studied species including mule deer, Dall's sheep, Florida panthers, black bears, and marine species across multiple continents. Her research integrates field data with advanced statistical modeling to address population dynamics, movement ecology, and conservation challenges. She teaches quantitative wildlife research methods and leads the Western Wildlife Lab, which focuses on Intermountain West ecology. Her publication record reveals expertise in movement ecology and population modeling, with research spanning terrestrial and marine systems. Her work frequently employs sophisticated statistical techniques to understand complex ecological relationships and inform management decisions. Scientific Recognition: The Wildlife Society Award Winner for research on Florida panther dynamics and persistence As Director of the MS in Ecology program, Dr. Van de Kerk advises graduate students while maintaining an active research program that bridges theoretical ecology with practical conservation applications. Her lab combines field studies with quantitative analysis to optimize wildlife management strategies in changing environments.

• Ecology
• Epidemiology
• Animal Movement
• +۴ مورد دیگر

Dr. Justin Calabrese is the Head of Earth Systems Research at the Center for Advanced Systems Understanding (CASUS) , part of the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) . His work integrates ecology, epidemiology, and computational modeling to address complex systems-level challenges. Research Interests: Dr. Calabrese specializes in Ecological modeling of animal movement and habitat use Epidemiological dynamics of disease outbreaks Computational tools for spatial and temporal data analysis Conservation biology applications Key Contributions: He develops advanced methodologies like the ctmm R package for movement analysis and applies mathematical frameworks to problems ranging from wildlife-vehicle collisions to pandemic response strategies.

Charlotte Youngمشاهده پروفایل

پژوهشگر ارشد

• Sociology
• Public Health
• Health Promotion
• +۷ مورد دیگر

Dr. Charlotte Young is a Research Fellow at the Institute for Social Science Research within the Faculty of Humanities, Arts and Social Sciences at The University of Queensland. With interdisciplinary expertise spanning sociology, public health, health promotion, and migration studies, she conducts qualitative research focused on systemic drivers of migrant health inequities and strategies for addressing them. Her educational background and professional qualifications are not explicitly detailed in the provided materials, but her research demonstrates deep engagement with intersectional approaches to health equity. Dr. Young's research interests center on migrant health, health inequities, intersectionality theory, and qualitative research methods. She examines how migrants adapt and respond to structural drivers of inequity, with recent work focusing on the impact of the COVID-19 pandemic on migrant and refugee background tertiary students and the role of culturally and linguistically diverse social media influencers in promoting health behaviors. She also investigates immigrant organizations as critical settings for influencing health and wellbeing. Her publication record demonstrates a strong focus on migrant health, intersectionality, and health communication, with numerous articles examining how migrant communities navigate health systems during crises. Recent work shows increasing attention to digital health communication strategies and the role of social media in reaching diverse communities. Strategic Evaluation of Health and Wellbeing Queensland's Prevention Programs (2021-2025) Evaluation of the Community Refugee Integration and Settlement Pilot (CRISP) (2022-2025) Safe and Connected Futures Program (2021-2025) Dr. Young actively supervises PhD students and is available for new supervision opportunities. Her current supervision includes a PhD project titled "Triple Complexities in Black Queer Migration to Queensland, Australia: Advocacy, Settlement and Refugeehood" where she serves as Principal Advisor alongside Associate Professor Lisa Fitzgerald and Professor Lisa McDaid. She has advertised projects on systemic drivers of immigrant health inequalities and health settlement outcomes among immigrant populations. Her research is conducted within the Institute for Social Science Research, where she collaborates with multidisciplinary teams on large-scale health intervention evaluations and community-based research projects focused on vulnerable populations.

Anna Sellمشاهده پروفایل

مدرس ارشد

• Technology Adoption and Acceptance
• Technology Readiness
• Digitization in Organizations
• +۱۲ مورد دیگر

Anna Sell is a Senior Lecturer in Information Systems at the School of Business, Faculty of Social Sciences, Business and Law, Åbo Akademi University. She holds a D.Sc. (BA) and is actively contributing to both research and teaching in the domain of information systems, with a strong emphasis on technology adoption, digital innovation, and educational practices. Her research interests span a broad spectrum including individual and organizational technology use, technology readiness, IS/IT maturity models, digitization in organizations, and the integration of sustainable development goals into curriculum. She is particularly known for her work on technology segmentation, capstone project pedagogy, and digital wellness services. Her research often explores the interplay between human attitudes and technological systems in both everyday life and organizational contexts. The recent publications of Anna Sell reflect a strong trend toward digital innovation, sustainability, and the societal impact of technology. Her work combines theoretical modeling (e.g., maturity models, ecosystem metaphors) with empirical case studies (e.g., Finnish pandemic policies, online shopping behavior). Key thematic areas include digital transformation, user experience in digital environments, hybrid education, and sustainable information systems. These contributions are frequently presented at major international conferences such as the Bled eConference and HICSS. Anna Sell is actively involved in research projects, most notably as Co-Principal Investigator in the 'Data-Driven Sustainability Management' (DDSM) project funded by Business Finland (2023–2025), which aims to develop frameworks for sustainable business practices through data analytics. She also supervises B.Sc., M.Sc., and D.Sc. theses, contributing to academic skill development and interdisciplinary project courses. While no formal awards are listed, her sustained publication record and project leadership underscore her academic impact. She is a key contributor to IS teaching and curriculum development, especially in designing capstone courses and integrating real-world challenges into the classroom. Her work supports interdisciplinary learning and aligns with the UN Sustainable Development Goals, particularly those related to responsible consumption, innovation, and quality education.

Aleksandr Popovمشاهده پروفایل

پژوهشگر

• Computational Geometry
• Algorithms
• Trajectory Analysis
• +۲ مورد دیگر

Aleksandr Popov is a researcher in computational geometry currently affiliated with the ALGO cluster at Eindhoven University of Technology. He completed his PhD in 2023 focusing on algorithms for uncertain trajectories and continues active research in this domain. Education: PhD in Algorithms for Imprecise Trajectories, Eindhoven University of Technology, 2023 Master's in Similarity of Uncertain Trajectories, Eindhoven University of Technology, 2019 Dr. Popov's research centers on computational geometry with emphasis on trajectory analysis under uncertainty . His work develops algorithms to quantify trajectory similarity using Fréchet distance, simplify complex paths while preserving essential features, and handle imprecise spatial data. His research bridges theoretical computer science with practical applications in movement pattern analysis and spatial databases, addressing fundamental challenges in how uncertainty affects geometric computations. Analysis of his publication record reveals a systematic progression from theoretical foundations of uncertain curve analysis to more applied problems like map-matching and trajectory clustering. His work consistently explores how measurement uncertainty impacts geometric algorithms, developing specialized methods that maintain computational efficiency while accounting for data imprecision. A distinctive feature of his research is the adaptation of classical geometric measures like Fréchet distance to probabilistic and uncertain settings. Dr. Popov has substantial teaching experience, having assisted with bachelor courses on data structures and algorithms (2021-2023), supported master seminars on algorithms (2019-2021), and served as a student assistant for various courses during his bachelor and master studies (2014-2019). He also contributed as an editorial assistant for Dagstuhl Seminar reports on computational geometry, demonstrating engagement with the broader academic community. As an active member of the ALGO cluster at Eindhoven University of Technology, Dr. Popov collaborates with leading researchers including Kevin Buchin, Maarten Löffler, and Marcel Roeloffzen, contributing to a vibrant research environment focused on theoretical and applied aspects of algorithm design for geometric problems.

Mike Hahnمشاهده پروفایل

استاد

• Neuromechanics
• Human Locomotion
• Biomechanics
• +۷ مورد دیگر

Mike Hahn is a Professor in the Department of Human Physiology at the University of Oregon's College of Arts and Sciences. He serves as Director of the Bowerman Sports Science Center and Associate Director of the Wu Tsai Human Performance Alliance at the Phil & Penny Knight Campus of Accelerating Scientific Impact. His work bridges clinical biomechanics, neuromotor control, and sports science, with strong interdisciplinary collaboration across engineering and data sciences. Education: B.S., Colorado Mesa University, 1996 M.S., Iowa State University, 2000 Ph.D., University of Oregon, 2003 Dr. Hahn's research focuses on the neuromechanics of human locomotion, particularly the neural control and mechanical adaptation involved in walking, running, and movement recovery after injury. His work integrates advanced computational tools such as artificial neural networks, support vector machines, and genetic algorithms to model complex biomechanical systems. Key research areas include prosthetic and orthotic device control, locomotor adaptation after lower limb injury, and treatment outcomes in ankle osteoarthritis. He also has expertise in hand and wrist biomechanics from prior work at the Mayo Clinic. His research has practical applications in rehabilitation, sports performance, and assistive technology design. As Director of the Bowerman Sports Science Center, he leads a multidisciplinary team focused on translating biomechanical research into real-world performance and health outcomes. Scientific Awards: Dr. Hahn advises undergraduate and graduate researchers through capstone and biomechanics courses. He has received sponsored research funding, as indicated by his involvement in major research centers, though specific grants are not detailed in the text. His leadership roles include directing research clinics and contributing to large-scale human performance initiatives. He is actively involved in experiential learning and research mentorship within the College of Arts and Sciences. His lab, the Neuromechanics Lab at the Bowerman Sports Science Center, supports interdisciplinary research in sports science and human performance.