Find Academic Supervisors

Chad J. RoyView profile

Professor

• Aerobiology
• Infectious Disease Research
• Vaccine Development
• +6 more

Chad J. Roy, PhD, is a Professor of Microbiology and Immunology and Associate Dean for Research at Tulane School of Medicine. He directs the Infectious Disease Aerobiology Core at the Tulane National Primate Research Center. His research focuses on aerosol transmission of pathogens, vaccine development, and nonhuman primate models for biothreat agents like Mycobacterium tuberculosis and SARS-CoV-2. Dr. Roy’s work emphasizes understanding respiratory infection mechanisms and evaluating medical countermeasures in high-containment environments. Education: MSPH in Environmental Health Sciences (Tulane University), PhD in Preventive Medicine (University of Iowa). Research Interests: Aerobiology of airborne diseases, aerosol infection models, immunogenicity of vaccines, and pathogen transmission dynamics. His lab develops models for biothreat agents such as Burkholderia pseudomallei and evaluates therapeutics for toxins like SEB and ricin. Recent studies include pediatric tuberculosis outcomes and SARS-CoV-2 transmission in nonhuman primates. Scientific Contributions: Over 150 peer-reviewed articles on aerobiology, vaccine efficacy, and emerging pathogens. Editorial roles include Associate Editor for Frontiers in Cellular and Infection Microbiology and board member of the Journal of Medical Primatology . Labs/Teams: Leads high-containment (BSL-3) facilities for pathogen studies. Collaborates with extramural labs on biothreat agent research and medical product evaluation.

Nikolaos K. EfremidisView profile

Professor

• Nonlinear Optics
• Photonic Lattices
• Optical Beam Propagation
• +5 more

Nikolaos K. Efremidis serves as Professor in the Department of Mathematics & Applied Mathematics at the University of Crete and holds a Collaborating Researcher position at the Institute of Applied and Computational Mathematics (IACM) of the Foundation for Research & Technology - Hellas (FORTH) in Heraklion, Greece. His dual affiliation bridges theoretical mathematics with experimental photonics research at one of Greece's premier research institutions. His research spans nonlinear optics, photonic lattices, and optical beam engineering with particular focus on vortex beams, atmospheric turbulence mitigation, and statistical mechanics of light. Key contributions include the development of inverted pin beams for turbulence-resistant propagation, thermodynamic modeling of optical pressures in multimoded systems, and topological approaches to photonic thermalization. His work uniquely combines mathematical rigor with practical optical applications. Analysis of his 2021-2025 publications reveals three dominant research thrusts: (1) thermodynamic frameworks for optical systems including Dalton's law analogs for partial pressures, (2) topological models for prethermalization dynamics in photonic lattices, and (3) engineered beam solutions (particularly inverted pin beams) that maintain integrity through atmospheric turbulence. These intersect at the frontier of optical thermodynamics and topological photonics. Scientific recognition includes: Fellow of the Optical Society (OSA) His laboratory at FORTH's IACM specializes in computational modeling of nonlinear optical phenomena and experimental validation of novel beam propagation techniques. Current projects focus on extending turbulence-resistant beam concepts to quantum optical regimes and developing topological protection schemes for free-space optical communication.

Seongho SongView profile

Professor

• Bayesian Statistics
• Biostatistics
• Statistical Modeling
• +5 more

Seongho Song is a Professor and Undergraduate Program Director in the Department of Mathematical Sciences at the University of Cincinnati. He holds a Ph.D. in Statistics from the University of Connecticut (2005). His research focuses on Bayesian statistical methods, biostatistics, and computational biology, with applications in genetics, environmental science, and healthcare. Song has led or collaborated on grants totaling over $4.7M, including projects funded by DARPA, NIH, and the Korea Institute of Ocean Science and Technology. Education: Ph.D. in Statistics, University of Connecticut (2005) Positions: Assistant (2005-2011) → Associate (2011-2019) → Full Professor (2019–Present) Research interests include Bayesian hierarchical models, longitudinal data analysis, and bioinformatics. He has published over 30 peer-reviewed articles in journals like Biostatistics , Frontiers in Genetics , and Journal of Productivity Analysis . Recent work involves modeling circadian rhythms, lung disease progression, and oceanographic systems. Teaching responsibilities include graduate courses in Bayesian analysis, statistical computing, and linear models. He has served on editorial boards for Sankhya Series B and IEEE Transactions on Computational Biology , and chairs the EAC-ISBA Special Interest Group.

Craig Leth-SteensenView profile

Associate Professor

• Cognitive Psychology
• Quantitative Methods in Psychology
• Reaction Time Analysis
• +4 more

Craig Leth-Steensen is an Associate Professor in the Department of Psychology at Carleton University, affiliated with the Faculty of Arts and Social Sciences. He holds a Ph.D. from McGill University. His research focuses on cognitive psychology, particularly the application of quantitative methods and computational models (e.g., neural networks, random walks) to analyze human cognitive performance, reaction time distributions, and symbolic comparative judgments. Recent interests include early childhood cognitive development and interventions through programs like PlayWisely. His work spans experimental psychology and psychometrics, with key contributions to reaction time analysis, spatial-numerical associations (SNARC effect), and task-switching dynamics. He has published widely in journals like Psychological Review , Journal of Experimental Psychology , and Frontiers in Psychology . Dr. Leth-Steensen has no listed awards but has collaborated with institutions globally. His research emphasizes methodological rigor, integrating statistical techniques with experimental designs to explore information processing and decision-making mechanisms.

Bryan GoodView profile

Assistant Professor

• Cardiovascular biomechanics
• Biorheology
• Computational fluid dynamics
• +5 more

Bryan Good is an Assistant Professor in the Department of Mechanical, Aerospace, and Biomedical Engineering at the University of Tennessee, Knoxville, holding this position since August 2020 after completing an American Heart Association Postdoctoral Fellowship at Penn State University and Hershey Neuroscience Institute. His educational qualifications include: PhD in Bioengineering from Penn State University (2017) BS in Mechanical Engineering from Carnegie Mellon University (2012) BS in Biomedical Engineering from Carnegie Mellon University (2012) Dr. Good's research centers on cardiovascular biomechanics with critical focus areas in acute ischemic stroke , congenital heart disease , and thrombosis . His lab integrates computational fluid dynamics and experimental methodologies to investigate blood flow dynamics, medical device-tissue interactions, and biomaterial properties. Key projects include mechanical thrombectomy optimization for stroke intervention, vascular remodeling studies in pediatric patients, and development of mock circulatory systems for device testing. His work emphasizes translational collaboration with clinicians to address real-world cardiovascular challenges. Analysis of his 10 publications (2015-2020) reveals consistent expertise in medical device validation using FDA benchmark models, with significant contributions to ventricular assist device optimization and pediatric cardiovascular applications. His research demonstrates sophisticated application of fluid-structure interaction modeling and biorheology principles to solve clinical problems in both adult stroke treatment and congenital heart disease management. His scientific recognition includes: Young Investigator Finalist at the 6th International Conference on Clinical and Engineering Frontiers in Pediatric and Congenital Heart Disease (2019) Trainee Scholarship from Michigan Cardiovascular Innovation Workshop (2017) Koff Award for Outstanding Abstract at ASAIO Conference (2016) Villforth and Riess Graduate Assistantship Awards from Penn State University (2016, 2015) Travel Award from International Society of Biorheology (2015) As principal investigator of the Cardiovascular Biomechanics Lab, Dr. Good mentors graduate students in biomedical engineering research while securing external funding including his prior American Heart Association fellowship. He serves as peer reviewer for 10+ leading journals including Journal of Biomechanical Engineering and Annals of Biomedical Engineering, and maintains active memberships in the American Heart Association and Biomedical Engineering Society. The Cardiovascular Biomechanics Lab under Dr. Good's direction specializes in experimental and computational analysis of cardiovascular devices and pathologies, utilizing particle image velocimetry, laser Doppler systems, and advanced CFD modeling to develop solutions for stroke treatment, congenital heart disease, and medical device optimization through close clinical partnerships.

• Optical Metrology
• Coherent Metrology
• Holography
• +7 more

Dr. Vivi Tornari is a Research Fellow and head of the Holography laboratory at IESL/FORTH, specializing in optical metrology and cultural heritage preservation. She has held this position since 1996 and has coordinated major EU projects such as E-RIHS and CHARISMA . Her work focuses on developing holographic interferometry techniques for structural diagnosis of artworks, fraud detection, and environmental impact assessment. She holds a PhD in Applied Science from the University of Sunderland and has authored over 70 scientific publications. Education: Postdoctoral Fellow in Optical Holography, Royal College of Art (RCA), London (1990) PhD in Applied Science, University of Sunderland, UK (2009) MSc in Chemical Engineering/Material Science, National Technical University of Athens (1996) Research interests include laser-based structural analysis, speckle interferometry, and the integration of optical methods for heritage preservation. She has pioneered non-invasive diagnostic tools such as the Applied Holography Metrology Laboratory and has advised on EC projects as an evaluator. Funding highlights include: Leadership in EU projects totaling over €20M Coordinator of SYDDARTA (FP7) and CLIMATE FOR CULTURE (FP7) PI for HOLOAUTHENTIC (FP5) and LASERACT (FP6) Her publications emphasize interdisciplinary collaboration, combining optical engineering with conservation science. Key innovations include: Development of DHSPI (Digital Holographic Speckle Pattern Interferometry) Integration of thermography with interferometry for defect analysis Laser ablation studies on polymer substrates Labs/Teams: Lead the Holography Lab at IESL, collaborating with international institutions like the V&A Museum and Imperial College London. Current projects focus on European research infrastructures (E-RIHS) and climate change impacts on heritage materials.

• Cognitive development
• Evolutionary psychology
• Social Perception
• +7 more

Mel Rutherford is a Professor in the Department of Psychology, Neuroscience & Behaviour within the Faculty of Science at McMaster University. Her research focuses on experimental psychology motivated by evolutionary theory, particularly examining Social Perception and Social Perceptual Development. Dr. Rutherford earned her Ph.D. in Psychology from the University of California at Santa Barbara in 2000, following a BA in Psychology and Biology from Yale University in 1992. She completed her postdoctoral fellowship at the University of Denver from 2000-2002. Her research interests span Cognitive Development, Evolutionary Psychology, Social Perception, Animacy Perception, and Face Processing, with particular emphasis on how these processes develop in children and are affected in Autism Spectrum Disorder. She has published extensively on visual aftereffects, religious bias in face perception, essentialism, and developmental trajectories in social cognition. Analysis of her recent publications (2021-2025) reveals a strong focus on religious bias in face perception, with multiple studies examining how religious labels affect visual adaptation to Christian and Muslim faces. Her work also explores essentialism in social categories, developmental trajectories in facial expression perception, and biological motion perception in autism through meta-analysis. Her research consistently bridges evolutionary theory with experimental psychology methodologies. Dr. Rutherford has taught numerous courses including Essentials of Developmental Psychology (PSYCH 3GG3), PNB Tutorials (PNB 2XT0), Advanced Topics in Psychology, Neuroscience and Behaviour (PSYCH 741), Contemporary Problems in Psychology (PSYCH 720A), and Inferential Statistics and Research Methods (PNB 3XE3) across multiple years from 2017-2024. She leads the Rutherford Lab at McMaster University, which focuses on experimental psychology motivated by evolutionary theory, specifically examining questions of Social Perception and Social Perceptual Development. Her work has been widely cited across academic platforms, social media, and news outlets, with numerous publications appearing in high-impact journals like Journal of Vision, Frontiers in Psychology, and Developmental Psychology.

• Neuroscience
• Respiratory Physiology
• Neural Control of Breathing
• +3 more

Dr. Leanne McKay is a Senior Lecturer at the University of Glasgow’s School of Psychology & Neuroscience, focusing on neural mechanisms governing breathing and respiratory control. Her research explores respiratory rhythm generation, chemosensitivity, and sleep-related breathing disorders such as sleep apnea. Key contributions include studies on opioid (fentanyl) effects on postnatal breathing patterns, hypoxia responses in brainstem regions, and genetic models of Rett syndrome. She holds grants from organizations like the Medical Research Scotland and Wellcome Trust, and has received fellowships from the Human Frontiers Science Programme and Fondation pour la Recherche Medicale. Professional memberships include the Physiological Society (elected co-convener of the Respiratory Physiology Special Interest Group) and the Society for Neuroscience. Her invited international presentations include speaking at the Xth Oxford Conference on Modeling and Control of Breathing (2006) and presenting at the C.N.R.S. respiratory rhythm seminar in France (2006). Research interests span developmental neurobiology, respiratory pharmacology, and translational neuroscience.

Jennifer MacRitchieView profile

Academic

• Music Technology
• Health and Wellbeing
• Music Education for Older Adults
• +3 more

Dr. Jennifer MacRitchie is a Senior Research Fellow at the University of Sheffield's Department of Music, affiliated with the School of Languages, Arts and Societies. She holds an M.Eng in Electronics with Music from the University of Glasgow and a PhD in Science and Music Research from the same institution. Previously, she held roles at the Conservatorio della Svizzera Italiana and Western Sydney University as a Research Lecturer and Senior Research Fellow. Her research focuses on the intersection of music, technology, and health, particularly designing assistive technologies for older adults with dementia and their carers. Key collaborations include work with Prof. Renee Timmers, Prof. Luc de Witte, and Prof. Andrew McPherson. She co-supervises PhD students exploring topics like dementia-friendly musical interfaces and notation systems. Research interests span music performance neuroscience, technology-enhanced music education, and interdisciplinary methods combining engineering, psychology, and healthcare. Notable projects include the UKRI Future Leaders Fellowship-funded initiative to develop new musical technologies for dementia care and the Active Minds Music Ensemble study. Grants include a £1.18M UKRI Fellowship and an Australian Research Council Discovery Project. Her work has appeared in journals like Alzheimer's & Dementia , Music & Science , and Frontiers in Psychology . Awards include prestigious fellowships and grants supporting her innovative research.

Akos LedecziView profile

Professor

• Computer Science Education
• Wireless Sensor Networks
• Model Integrated Computing
• +3 more

Akos Ledeczi is a Professor of Computer Science and Electrical and Computer Engineering at Vanderbilt University's School of Engineering. His research focuses on computer science education and wireless sensor networks (WSN) , with notable contributions to visual programming tools like NetsBlox and anti-poaching systems like WIPER. He holds a Ph.D. from Vanderbilt University and a Diploma from the Technical University of Budapest. His education initiatives include the NetsBlox platform for K-12 STEM education and a popular Coursera MOOC on introductory programming. In WSN, his team developed a countersniper system with real-time shooter localization and a wearable system for military applications. He is also a leader in Model Integrated Computing , creating tools like the Web-based Generic Modeling Environment. Recent work includes NSF-funded projects on cybersecurity education in middle schools and animal-borne acoustic monitoring. His awards include the ACM SenSys Test of Time Award (2014) and the Best Showpiece Award at IEEE VL/HCC (2021). Key grants and collaborations span NSF projects, Vodafone innovation programs, and the Cyber Makerspace initiative. His lab develops tools like DeepForge and RoboScape Online , emphasizing open-source and collaborative platforms. Students supervised include Devin Jean (K-12 tools), Gordon Stein (robotics simulations), and Brian Broll (NetsBlox extensions).

Myfanwy JamesView profile

Assistant Professor

• Humanitarianism
• Conflict Studies
• Security
• +4 more

Dr. Myfanwy James is an Assistant Professor in International Development and Humanitarian Emergencies at the London School of Economics and Political Science (LSE), within the Department of International Development. Her research focuses on the politics of humanitarian intervention in conflict and displacement contexts, particularly in the eastern Democratic Republic of the Congo (DRC). She employs ethnographic and historical methods to explore themes such as humanitarian access negotiations with armed groups, local employment in aid sectors, structural inequalities in aid delivery, and medical research legitimacy during epidemics. Previously, Dr. James held positions at the University of Oxford (as a Lecturer) and the London School of Hygiene & Tropical Medicine (as a Research Fellow). She has also worked as a consultant for Médecins Sans Frontières (MSF). Her academic credentials include a PhD (DPhil) from the University of Oxford. Key research areas include humanitarianism, conflict, security, epidemics, migration, and health systems in crisis zones. Her publications appear in journals like Third World Quarterly , Medical Anthropology , and Journal of Humanitarian Affairs . Her work bridges anthropology, political science, and public health, emphasizing ethical and structural challenges in humanitarian aid. Recent research examines the interplay of power dynamics in aid organizations, vaccine trials during epidemics, and the moral narratives shaping humanitarian practices. Dr. James’s expertise spans French and English, and she actively engages with both academic and practitioner audiences. Her research often highlights marginalized voices in aid delivery, particularly focusing on local humanitarian staff experiences and community perspectives in crisis settings.

Qiongkai XuView profile

Lecturer

• Natural Language Processing
• Machine Learning
• Security
• +3 more

Dr. Qiongkai Xu is a Lecturer in Natural Language Processing (NLP) at Macquarie University's School of Computing, with an honorary fellowship at the University of Melbourne. He holds a PhD in NLP from the Australian National University (ANU). His research focuses on auditing machine learning models, particularly addressing privacy/security issues in NLP/ML models and developing evaluation frameworks. Key areas include text watermarking, adversarial attacks, data leakage mitigation, and model authentication. Recent publications emphasize robustness against backdoor attacks, generative model watermarking, and healthcare applications of LLMs. His work bridges theoretical security advancements with practical NLP challenges. Awards: DAAD Scholarship (2022), Research Pitching Session Winner (MQ, 2022 & 2024) Grants: Leading the Climate Litigation Risk project on AI-driven greenwashing detection. Labs/Teams: Data Horizons Research Centre, Future Communications Research Centre, and Frontier AI Research Centre.

Suzanne HouwenView profile

Assistant Professor

• Developmental Psychology
• Educational Sciences
• Child Development
• +3 more

Dr. Suzanne Houwen is an Assistant Professor at the University of Groningen's Faculty of Behavioural and Social Sciences, specifically within the Department of Orthopedagogy & Clinical Educational Science. Her research focuses on child development, motor skills, and behavioral sciences. She has contributed to studies on developmental coordination disorder, motor performance in children, and the interplay between play, motor skills, and executive functioning. Her work often employs innovative observational tools like 'Hands-On!' to assess fine motor skills in young children. She has collaborated on projects such as 'Bewegend leren' (Moving Learning), which emphasizes active learning and motor skill development. Her research has been published in journals like Behavioral Sciences , Frontiers in Psychology , and Children . Key research interests include developmental psychology, educational interventions for motor skill improvement, and understanding how motor abilities relate to broader cognitive and emotional outcomes. She has systematically reviewed motor-executive function interactions and explored handwriting challenges in children with Autism Spectrum Disorder using advanced statistical methods like structural equation modeling. Dr. Houwen has also engaged in public engagement activities, contributing to educational initiatives and disseminating research findings to broader audiences. Her work bridges clinical, educational, and developmental perspectives to promote inclusive and effective interventions for children.

Maxim MiterevView profile

Assistant Professor

• Project Management
• Organizational Design
• Sustainability Transitions
• +3 more

Maxim Miterev is an Assistant Professor in Industrial Management at the School of Industrial Engineering and Management (ITM) at KTH Royal Institute of Technology. He is affiliated with the Digital Futures Faculty, a cross-disciplinary research center addressing societal challenges through digital technology innovations. His research focuses on project-based organizations, organizational design, and systemic transitions, with a particular emphasis on experimental networks and business model innovation. Miterev also holds a Senior Lecturer role at KTH, contributing to both academic and applied research. His research explores intersections between project management, organizational structures, and sustainability transitions. Key areas include understanding mechanisms driving project success, alignment between organization design and value creation processes, and leveraging experimental networks for innovation in established industries. His work bridges theory and practice, addressing challenges in digitalization, urban development, and public policy. Recent publications highlight trends in exploring project conceptualizations, organizational design frameworks, and mechanisms enabling systemic transitions. Miterev’s contributions advance methodologies for analyzing project-based systems and their societal implications. He participates in collaborative initiatives across KTH, Stockholm University, and RISE Research Institutes of Sweden, fostering interdisciplinary solutions to complex challenges. Based at Osquars Backe 5 in Stockholm, Digital Futures serves as a hub for his research activities. Contact details include miterev@kth.se and maxim.miterev@indek.kth.se. His work emphasizes practical relevance while advancing theoretical frontiers in project studies and organizational dynamics.

• Biomimetics
• Bio-inspired Design
• Animal Flight
• +3 more

Prof. D. (David) Lentink is a Full Professor of Biomimetics at the University of Groningen, Faculty of Science and Engineering. His research focuses on understanding biological flight mechanics, particularly in birds, to inspire advanced robotics and aerospace innovations. He holds a PhD in Experimental Zoology (cum laude, Wageningen University, 2008) and dual MS/BS degrees in Aerospace Engineering (Delft University of Technology, 2003). Lentink leads the Biomimetics Group, pioneering projects like rudderless flight and morphing-wing drones. His work bridges biomechanics, robotics, and aerodynamics, with notable contributions to aerial grasping systems and biomimetic materials. Education: PhD cum laude, Experimental Zoology, Wageningen University (2008) MS/BS, Aerospace Engineering, Delft University of Technology (2003) Research Interests: Biomimetics, bio-inspired design, animal flight biomechanics, aerodynamics of flight, and aerial robotics. His lab develops cutting-edge tools like the Aerodynamic Force Platform to measure in vivo forces and advanced wind tunnels for precise flight studies. Awards: 2018 Steven Vogel Young Investigator Award 2017 National Academy of Engineering Gilbreth Lecturer 2013 World Economic Forum Top 40 Scientists Under 40 Grants & Labs: Lentink oversees grants from NSF, Human Frontiers Science Program, and Dutch Academic Year Prize. His lab collaborates globally and maintains ties with Stanford University’s former projects. Current focus includes biomimetic drones for complex environments and understanding turbulence adaptation in birds.