Find Academic Supervisors

• Machine Learning
• Artificial Intelligence
• Data Science
• +5 more

Tommi Kärkkäinen is a Professor at the Faculty of Information Technology, University of Jyväskylä. His research focuses on machine learning, artificial intelligence, and their applications in fields such as nanotechnology, healthcare, and education. He leads projects funded by the Research Council of Finland, including initiatives on catalyst design using AI and structural analysis of hybrid nanoparticles. Education: Formal academic qualifications not explicitly listed in the text. Key Projects: Models and Methods of Self-Similar Network Traffic Analysis (2023–2026), High Performing Machine Learning for Novel Catalyst Design (2022–2024), and Structure Prediction of Hybrid Nanoparticles via Artificial Intelligence (2018–2022). Research Interests: Digitalization-driven data processing, machine learning for material science, and AI ethics in education. His work bridges theoretical advancements with practical implementations in healthcare diagnostics, flight training simulations, and educational equity. Notable contributions include developing neural network models for epilepsy detection, AI-driven catalyst design frameworks, and methodologies for evaluating digital competence in healthcare personnel. His work often involves interdisciplinary collaboration across nanoscience, education technology, and cognitive science. Grants: Over €16M secured through Research Council of Finland programs, including Profi3 (2017–2021) and Profi6 (2021–2026). Awards: Received the Best Student Paper Award (2024) for work on smart city place-belongingness strategies. Labs/Teams: Active in follow-up groups like OHTE (Engineering) and HUMBLE (Human-Machine Intelligence).

• Prosody and Syntax Acquisition
• Speech Perception
• Cochlear Implant Outcomes
• +4 more

Kara Hawthorne is an Associate Professor in the Department of Hearing, Speech, and Language Sciences at Gallaudet University's Human Services and Sciences school. Her work focuses on prosody-syntactic interactions, speech perception in cochlear implant users, and language processing in neurodiverse populations. She teaches graduate courses including Research Methodology, Speech Science, and Dissertation Seminars. Research interests include prosody's role in syntax acquisition, clinical practices for speech-language pathologists, and linguistic challenges faced by individuals with intellectual and developmental disabilities. Her grants include studies on cochlear implant outcomes, early intervention strategies, and accent adaptation in speech perception. Hawthorne has advised 11 doctoral students and serves on committees for Gallaudet’s PhD program and institutional review boards. She has published over 20 peer-reviewed articles, with recent work exploring prosody meta-analyses and intervention methods for children with language delays. Current research emphasizes clinical applications of prosody research and accessibility in communication technologies.

Paul SchmidtView profile

Professor

• Ecological Genetics
• Evolutionary Biology
• Genomics
• +3 more

Paul Schmidt is the Patricia M. Williams Term Professor of Biology at the University of Pennsylvania's School of Arts & Sciences, currently serving as Undergraduate Chair (on sabbatical 2024-2025). His research focuses on ecological and evolutionary genetics, examining how populations adapt to environmental heterogeneity. The Schmidt Lab uses Drosophila melanogaster as a model system to study mechanisms of natural selection, allelic variation, and fitness in diverse environments. Key areas include genomic adaptation, microbiome interactions, and phenotypic plasticity. Education: Ph.D. in Biology from Brown University (1999). Courses taught include BIOL 2410 (Evolutionary Biology) and BIOL 3851 (Biology and Society). His work combines field studies, molecular genetics, and genomic analyses to link genetic variation to ecological fitness. Recent research highlights include adaptive tracking in Drosophila populations and the role of microbiome composition in rapid genomic adaptation. Lab activities emphasize interdisciplinary approaches, integrating classical genetics with modern '-omics' technologies. Current projects investigate life history differentiation, seasonal adaptation, and the functional significance of genetic polymorphisms. The lab webpage provides detailed information on ongoing research and publications.

• Power Electronics
• Renewable Energy Systems
• Electrical Power Engineering
• +3 more

Dr. Zhongfu Zhou is a Lecturer in Power Electronics at Swansea University, affiliated with the School of Aerospace, Civil, Electrical and Mechanical Engineering and the Electronic and Electrical Engineering Department. His research focuses on power electronics converters applied to renewable energy systems, transportation, and power distribution networks. Key areas include photovoltaic inverters, maximum power point tracking (MPPT) algorithms, PV emulation systems, and semiconductor device optimization (e.g., SiC MOSFETs). Teaching responsibilities include modules such as EG-345 Power Electronics (Year 3), EGLM02 Advanced Power Electronics and Drives (Year 4/MSc), and EGLM06 Sustainable Energy and Power Electronics Laboratory. He has supervised multiple PhD students in topics like battery energy storage systems, photovoltaic emulation, and grid integration challenges. Research highlights include developing robust control strategies for inverters, optimizing switching performance in SiC MOSFET modules, and coordinating multi-inverter systems to mitigate voltage imbalances. His work bridges theoretical control methods with practical applications in renewable energy systems and power electronics hardware. Dr. Zhou is a member of the UK IEC Standards Committee, contributing to international technical standards in electrical engineering. His over 60 peer-reviewed publications span journals such as IEEE Transactions on Energy Conversion , Energies , and Electronics , reflecting his commitment to advancing sustainable energy technologies.

• syntax-semantics interface
• language processing
• cognitive neuroscience
• +4 more

E. Matthew Husband is a Professor in the Faculty of Linguistics, Philology, and Phonetics at the University of Oxford and holds a Tutorial Fellowship at St. Hugh's College. His research focuses on the syntax-semantics interface and language processing, employing behavioral and neurophysiological methods such as EEG and fMRI. He leads the Language and Brain Laboratory, investigating how sentence meanings are composed and processed. Key areas include generics, event composition, predictive mechanisms, and the cognitive resources underlying scalar implicatures. Research interests encompass syntax-semantics interactions, psycholinguistics, neurolinguistics, and cognitive neuroscience. He collaborates on cross-linguistic studies of generics and has authored influential works like On the Compositional Nature of States (2012) and contributed to debates on event structure and prediction in language comprehension. Funding includes AHRC and ESRC grants for student supervision and postdoctoral fellowships. His work spans experimental studies on alternative generation, memory retrieval in sentence processing, and ERP investigations into structural prediction failures. He advises graduate students in psycholinguistics and maintains active research programs on Bayesian computational models of prediction and typological variations in generic expressions.

Shayne SloggettView profile

Researcher

• Psycholinguistics
• Syntax
• Sentence Processing
• +3 more

Shayne Sloggett is the Experimental Officer in Psycholinguistics at the University of York since 2019. His roles include advanced psycholinguistics and neurolinguistics teaching, experimental methods research, and collaborative projects with faculty across multiple institutions. He holds a PhD in Linguistics from the University of Massachusetts Amherst (2017) and a BA in Linguistics from the University of California, Santa Cruz (2011). His research focuses on sentence processing, syntax, and the interplay between grammatical knowledge and comprehension mechanisms, utilizing eye-tracking, corpus linguistics, and formal acceptability tasks. Key collaborations include work with Drs. Brian Dillon, Lyn Frazier, Masaya Yoshida, and Klinton Bicknell on topics like filler-gap dependencies and predictive processing in agreement dependencies. Shayne’s research explores how syntactic structures influence real-time language processing, particularly in pronominal reference and animacy effects. He has presented at major conferences such as CUNY, AMLaP, and NELS, focusing on themes like reflexive comprehension, predictive attention allocation, and quantification in NPIs. His work bridges theoretical linguistics and psycholinguistic experimentation, aiming to refine models of syntactic processing through empirical evidence. Shayne has held roles including Postdoctoral Researcher at Northwestern University (2017–2019), Cognitive Neuroscience Lab Manager at the University of Maryland (2010–2011), and maintained active external engagement through invited talks at MIT and UC Santa Cruz. His research methodologies emphasize interdisciplinary approaches, integrating cognitive neuroscience insights with syntactic theory.

• Psycholinguistics
• Cognitive Science
• Language Production
• +5 more

Dr. Kumiko Fukumura is a Lecturer in Psychology at the University of Stirling, UK. Her research focuses on the cognitive mechanisms underlying language production and comprehension, particularly in how speakers choose referring expressions and listeners interpret ambiguous linguistic structures. She holds a primary interest in the interplay between syntactic, semantic, and pragmatic factors in communication. Dr. Fukumura's work examines questions such as how speakers navigate referential choices considering listener knowledge, sentence structure preferences, and cross-linguistic differences. Her research employs experimental methods including eye-tracking, computational modeling, and cross-linguistic comparisons with languages like Hindi, Mandarin, French, and Japanese. Her publications (2009–2025) consistently explore themes of referential overspecification, ambiguity avoidance strategies, syntactic vs. non-syntactic structure effects, and developmental aspects of sentence processing. Over 15 recent articles demonstrate her expertise in psycholinguistics and cognitive science, with a focus on production-comprehension asymmetries and cross-linguistic variation in communication strategies. Dr. Fukumura collaborates with the Cognition in Complex Environments and Behavioural Science research groups at the University of Stirling. Her work bridges experimental, computational, and theoretical approaches to understanding human communication systems.

• Responsible AI
• Software Engineering
• Machine Learning
• +3 more

Mr. Boming Xia is a Research Fellow at the Responsible AI Research Centre (RAIR) and the Australian Institute for Machine Learning (AIML), University of Adelaide. He holds a position within the Faculty of Sciences, Engineering and Technology. His research focuses on advancing responsible and safe AI through a software engineering lens, particularly exploring the integration of system-level practices with machine learning approaches. His work emphasizes ethical AI development, including frameworks for risk assessment, ESG (Environmental, Social, Governance) integration, and blockchain-based accountability mechanisms. Key areas of interest include AI safety, privacy protection in generative AI, and the design of transparent software supply chains using tools like SBOM (Software Bill of Materials). Xia's contributions span empirical studies on SBOM adoption, AI system evaluation frameworks, and tools like CDCAT for cross-document entity and event coreference. His research bridges theoretical AI foundations with practical software engineering methodologies to ensure AI systems are both innovative and ethically grounded.

Akpona OkujeniView profile

Researcher

• Remote Sensing
• Earth Observation
• Environmental Science
• +4 more

Akpona Okujeni is a Researcher at Humboldt University of Berlin specializing in Earth observation applications for terrestrial ecosystem analysis. Her work leverages imaging spectroscopy and multispectral time series to quantify vegetation dynamics and monitor environmental change across global landscapes. Her educational background includes: Diploma in Geography, Geoinformation Science and Geology (2009) from Humboldt University of Berlin Doctoral studies in Geography (2014) from Humboldt University of Berlin Dr. Okujeni's research centers on innovative image processing workflows for vegetation parameter retrieval and ecosystem monitoring. She addresses critical environmental challenges including drought impacts, wildfire recovery processes, and disturbance dynamics within the context of global change. Her methodology emphasizes spectral-temporal analysis of satellite data to track vegetation cover changes across diverse biomes. Recent publications reveal a strong focus on operational remote sensing techniques, particularly spectral unmixing of Landsat and Sentinel-2 data for fractional cover mapping in agricultural and natural ecosystems. Her work demonstrates significant advancement in soil-specific unmixing approaches and phenological feature space applications across European grasslands, Sub-Saharan rangelands, and global croplands. No scientific awards are documented in the provided materials. While active in research publication, no student advising roles or grant leadership are mentioned. The text does not reference specific laboratories, research teams, or future projects under her direction.

Rick NouwenView profile

Associate Professor

• Semantics
• Pragmatics
• Cognitive Science
• +4 more

Dr. Rick Nouwen is an Associate Professor in the Department of Languages, Literature and Communication at Utrecht University, affiliated with the Humanities Institute for Language Sciences. His work bridges semantics, pragmatics, cognitive science, and artificial intelligence, focusing on language-meaning relationships and their applications in human-machine communication. He coordinates the Linguistics Research Master's program and teaches in AI and linguistics programs. Research interests include presupposition processing, anaphora resolution, modified numerals, and numerical semantics. He leads an NWO-funded project on experimental and computational models of pragmatic discourse processes with Jakub Dotlacil. Nouwen has held editorial roles at the Journal of Semantics and Semantics and Pragmatics , contributing to academic integrity as a faculty contact. His recent work explores scalar phenomena, vagueness, and the cognitive foundations of linguistic meaning. Key contributions include studies on presupposition denial, interference effects, and the experimental validation of semantic theories. He organizes conferences and workshops, such as Processing meets semantics , fostering interdisciplinary dialogue. Awards and grants include NWO Free Competition funding (2020–2024). He advises on AI ethics and serves on academic committees, balancing research, teaching, and institutional roles.

Mathilde HuskyView profile

Professor

• Youth Mental Health
• Anxiety-Depressive Disorders
• Substance Use
• +7 more

Mathilde Husky is a Professor of Clinical Psychology and Psychopathology at the University of Bordeaux, affiliated with the Faculty of Psychology. She leads the research axis on 'Social cognition: normal and psychopathological functioning' within the psychology laboratory and serves as the French national referent for the World Mental Health Survey Initiative (WHO). Her work bridges clinical practice, epidemiology, and digital mental health, with a focus on youth well-being. PhD in Psychology, University of Bordeaux (2004) Academic experience at Yale University and Columbia University (USA) Junior Member, Institut universitaire de France (2013–2018) Professor, University of Bordeaux (2016–present) Affiliation with University of Paris Descartes (2012–2016) Her research centers on youth mental health, particularly anxiety-depressive disorders, substance use, cyberbullying, and the psychological impact of social networks. She investigates how digital environments interact with traditional social dynamics to influence emotional regulation, academic performance, and mental health trajectories in children and adolescents. Her work emphasizes empirical data collection and the development of prevention strategies. The analysis of her recent publications reveals a sustained focus on adolescent mental health in digital contexts. Her research employs longitudinal designs, large-scale surveys, and epidemiological methods to explore the interplay between cyberbullying, social media use, and internalizing disorders. Key trends include the development of screening tools, methodological innovation in digital behavior measurement, and cross-national comparisons of mental health prevalence. Her scientific recognition includes: Junior Member of the Institut universitaire de France (2013–2018) Mathilde Husky leads the ANR-funded Cyberlife research project, a major cohort study involving 4,000 students from grades 5 to 9. This project examines the development of cyberbullying in relation to traditional bullying and investigates how social network use affects well-being, academic outcomes, and mental health. She also contributes to international research through the WHO-affiliated World Mental Health Survey Initiative, where she coordinates the student survey component in France. These roles indicate active grant leadership and research supervision, though specific advisees are not listed. She is a key figure in the psychology laboratory at the University of Bordeaux, where she directs a research axis on social cognition. Her work integrates clinical, cognitive, and epidemiological perspectives, contributing to both theoretical understanding and practical interventions in youth mental health.

Christoph HölscherView profile

Professor

• Spatial Cognition
• Wayfinding in Built Environments
• Human-Computer Interaction
• +12 more

Christoph Hölscher is a Full Professor and Chair of Cognitive Science at ETH Zurich, Department of Humanities, Social and Political Sciences. He is also an Honorary Senior Research Fellow at University College London’s Bartlett School of Architecture / Space Syntax group and has held visiting positions at UC Santa Barbara. His work bridges cognitive science, architectural design, and human-computer interaction. PhD in Psychology, University of Freiburg (2000) Habilitation in Psychology, University of Freiburg (2009) Project Manager, IT Industry (2000–2003) His research centers on spatial cognition , wayfinding in built environments , and usability in architectural design . He employs methods such as virtual reality, eye-tracking, and behavioral experiments to study how people navigate and interact with complex spaces. His work integrates cognitive psychology with urban planning and architecture to improve building legibility and user experience. The most recent publications reflect a strong interdisciplinary trend, combining cognitive science , urban systems , and virtual environments . Key themes include crowd simulation in emergencies, spatial reference frames in navigation, multi-level wayfinding challenges, and gaze behavior during spatial decisions. These studies often use immersive technologies and space syntax analysis to evaluate architectural configurations. Governing Board, Cognitive Science Society (since 2012) Board of Directors, SFB/TR8 Spatial Cognition (2007–2012) Co-chair, 33rd Annual Conference of the Cognitive Science Society (2011) Co-chair, Spatial Cognition International Conference (2010) Hölscher leads significant research initiatives connecting cognitive science with architectural practice. He has advised on evidence-based design, developed tools for recording spatial behavior (e.g., iPad apps), and promoted the use of personas in architectural design. His lab collaborates across disciplines, involving computer scientists, architects, and psychologists in projects focused on navigation support, spatial learning, and building usability. Future work appears to emphasize real-time spatial behavior analysis, integration of mobile technologies, and cross-modal perception in complex environments.

Rayan ChikhiView profile

Researcher

• Bioinformatics
• Algorithmics
• Computational Biology
• +7 more

Rayan Chikhi is a Researcher and Structure Manager Responsible at the Institut Pasteur, affiliated with the UMR3569 – Virology unit and the Advanced Molecular Virology department. His work lies at the intersection of bioinformatics, algorithmics, and computational biology, with a strong focus on developing efficient data structures and analytical tools for genome and metagenome analysis. His research interests include: Bioinformatics and algorithm development for biological sequences Pangenomics and variation graph construction k-mer and minimizer-based data structures Genome and metagenome assembly Ancient DNA analysis and decontamination Microbial source tracking Rayan Chikhi’s recent publications demonstrate a consistent trend toward creating scalable, efficient, and open-source computational tools that address bottlenecks in genomic data analysis. His work on unitig matrices (MUSET), quotient filters, and pangenome graphs reflects a focus on reducing computational resource demands while preserving biological accuracy. These tools are widely applicable in metagenomics, ancient DNA studies, and large-scale genomic association studies. Scientific contributions and software developments include: MUSET: for constructing abundance-preserving unitig matrices Backpack Quotient Filter: a dynamic, space-efficient k-mer index decOM: for microbial source tracking in ancient samples aKmerBroom: for decontaminating ancient oral DNA Contributions to K-mer File Format standardization He actively mentors and collaborates with junior researchers, including PhD students Francesco Andreace and Timothé Rouzé, and postdoctoral fellows such as Camila Duitama González and Kristen Curry. He is involved in major institutional initiatives such as the INCEPTION Convergence Institute and the Artificial Intelligence at the Pasteur Institute cross-functional project, highlighting his role in interdisciplinary research. His work is supported by collaborative grants and contributes to advancing open science in computational genomics. Rayan Chikhi is a key member of the bioinformatics team at the Institut Pasteur, contributing to both methodological innovation and practical applications in virology and microbial genomics. His lab and team focus on building robust, open-source software tools that empower large-scale biological discovery.

Francois-Xavier WeillView profile

Professor

• Antibiotic resistance
• Bacteriology
• Epidemiology and public health
• +4 more

Francois-Xavier Weill is the Head of the Enteric Bacterial Pathogens Unit at the Institut Pasteur in Paris, France. His unit serves as the National Reference Center (CNR) for Salmonella, Shigella/Escherichia coli, and Vibrio and Cholera, and is also a WHO Collaborating Center, underscoring his pivotal role in national and global public health. His research is centered on the intersection of microbiology, genomics, and public health. His primary interests include: Population dynamics and evolution of pathogenic bacteria. Antibiotic resistance in enteric pathogens. Development of novel bacterial typing and diagnostic tools using genomics (e.g., CRISPR typing). Genomic epidemiology of major outbreaks, particularly of cholera and shigellosis. An analysis of his recent publications reveals a strong and consistent trend in using cutting-edge genomic techniques to investigate global infectious disease outbreaks. His work heavily focuses on Vibrio cholerae and Shigella species, tracking their spread across continents (e.g., from Africa to Europe), understanding the genetic basis of their virulence and antibiotic resistance, and solving historical epidemiological mysteries. The predominant keywords across his work are genomic epidemiology , antibiotic resistance , and outbreak investigation . Dr. Weill is a Principal Investigator for several significant research projects, including: The SARA project (Surveillance of Antibiotic Resistance in Africa). Genomic studies on cholera epidemics in Yemen and Lebanon. Research on the evolutionary history of Vibrio cholerae. He leads a dedicated team of researchers, engineers, and technicians within the Enteric Bacterial Pathogens Unit, fostering a collaborative environment focused on combating major bacterial threats to global health.

Denis BelomestnyView profile

Professor

• Statistics of Stochastic Processes
• Financial Mathematics
• Econometrics
• +5 more

Denis Belomestny is a Professor of Applied Stochastics at the Department of Mathematics, University of Duisburg-Essen. His academic journey includes a PhD from Lomonosov Moscow State University (2002), postdoctoral work at the University of Bonn, and research positions at WIAS Berlin and Humboldt University Berlin. He currently leads research at the intersection of stochastic processes and financial mathematics. PhD in Mathematics, Lomonosov Moscow State University (2002) W3 Professorship in Applied Stochastics, University of Duisburg-Essen (2011–present) His research focuses on statistics of stochastic processes , optimal stopping/control , and Monte Carlo methods , with applications in financial mathematics and machine learning. Key collaborations include work with John Schoenmakers on multilevel approximation algorithms and Alexey Naumov on variance reduction techniques. Recent publications (2025–2023) explore deep neural networks for SDEs , generative adversarial networks , and nonparametric estimation in complex stochastic models. His work spans stochastic differential equations , financial derivatives pricing , and machine learning-driven statistical inference . He supervises doctoral students, including Sascha Nolte (research: robust optimal stopping without reference models). Current projects involve McKean-Vlasov SDEs , gamma-driven processes , and reinforced optimal control .