Find Academic Supervisors

Ying-hui ChouView profile

Associate Professor

• Cognitive Neuroscience
• Clinical Neuroscience
• Aging
• +4 more

Dr. Ying-hui Chou is an Associate Professor in the Department of Psychology and Director of the Brain Imaging and Transcranial Magnetic Stimulation (TMS) Laboratory at The University of Arizona. Her research integrates advanced neuroimaging techniques, TMS, and behavioral assessments to address cognitive aging, mild cognitive impairment (MCI), and Alzheimer’s disease (AD). Education: Sc.D. in Biomedical Engineering Dr. Chou’s work focuses on developing image-guided TMS protocols for memory enhancement, investigating brain-behavior relationships through region-to-region interactions, and identifying TMS-derived/imaging-based biomarkers for early diagnosis and therapeutic outcome prediction. Her studies span neurodegenerative disorders, with emphasis on the aging brain and its plasticity. The 15 most recent publications highlight her lab’s expertise in TMS-fMRI integration, biomarker discovery, and neuromodulation for cognitive decline. Key themes include hippocampal plasticity, default mode network targeting, and multi-modal approaches combining EEG, MRI, and gut microbiome analysis. Dr. Chou teaches courses such as PSY 300 (Mind & Brain), PSY 321 (Brain Rehabilitation), and PSY 422 (Brain Connectivity). Her lab actively recruits participants for TMS/MRI studies on memory preservation in aging. Current funding includes: NIH/NIA R01: Enhancing hippocampal plasticity via TMS DoD grant for TMS sleep improvement VA Merit Grant: Carotid disease and dementia Past grants from NIH, University of Arizona, Arizona Alzheimer’s Consortium, and Cancer Center support her ongoing contributions to neurostimulation methodology and clinical applications.

Malcolm HeywoodView profile

Professor

• Genetic Programming
• Coevolution
• Reinforcement Learning
• +12 more

Dr. Malcolm Heywood is a Professor in the Faculty of Computer Science at Dalhousie University, Halifax, Canada. He leads the Network Information Management and Security (NIMS) Lab and is actively involved in research on genetic programming, coevolution, reinforcement learning, and big data analytics. His research interests span: Genetic Programming and Evolutionary Computation Coevolution and Competitive Learning Problem Decomposition and Hierarchical Models Streaming Data Analysis and Anomaly Detection Network Security and Insider Threat Detection Reinforcement Learning in Games (Atari, ViZDoom, Dota 2) Dr. Heywood's recent publications focus on emergent behaviors in reinforcement learning using Tangled Program Graphs (TPG), benchmarking genetic programming for streaming data, and applications in cybersecurity and computational finance. His work demonstrates a strong trend toward scalable, efficient evolutionary models for complex, real-world problems. His scientific awards include: Silver placed at Human-Competitive (Humies) Competition (2018) Best Paper at EuroGP (2017) Best Paper at DETA track, ACM GECCO (2017) Best Paper at RWA track, ACM GECCO (2018) Nomination for Best Paper at DETA track, ACM GECCO (2019) He has supervised numerous graduate students, including PhD and Master's candidates, many of whom have continued research in evolutionary computation. His lab has developed open-source code distributions for Tangled Program Graphs and Symbiotic Bid-Based GP. Dr. Heywood teaches courses in Computer Organization, Introduction to AI with Gaming Applications, and Genetic Algorithms and Programming.

Marta KryvenView profile

Assistant Professor

• Computational Cognitive Science
• Artificial Intelligence
• Cognitive Psychology
• +7 more

Marta Kryven is an Assistant Professor in the Faculty of Computer Science at Dalhousie University. Her research integrates artificial intelligence, cognitive science, and experimental psychology to develop computational models of human cognition, focusing on planning, perception, and behavior. She is actively engaged in interdisciplinary research and is accepting graduate students. Research Interests: Computational models of cognition and behavior Large Language Models and their alignment with human thought Spatial navigation and environmental interaction Program synthesis and induction Representation learning and cognitive modeling Human-AI alignment and interpretability Her recent publications demonstrate a strong trend in combining symbolic AI with neural models to simulate human-like reasoning, particularly in spatial and social contexts. She frequently collaborates with leading researchers at MIT, especially Joshua Tenenbaum. Her work appears in top-tier venues such as NeurIPS, Cognitive Science, and Nature Computational Science. Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: Marta Kryven is currently accepting applications from graduate students and has several projects available for both undergraduate and graduate researchers. While specific grants are not listed, her active publication record in high-impact journals suggests ongoing funded research. She also offers consulting in AI system design, behavioral modeling, and data science for businesses. Labs and Teams: She is part of the Big Data Analytics, AI & Machine Learning research cluster at Dalhousie University. Her work is closely affiliated with cognitive science and AI research groups, likely involving collaboration with MIT’s Center for Brains, Minds and Machines. She leads a research group focused on human-like AI and computational cognitive modeling.

Catia PesquitaView profile

Associate Professor

• Semantic Web
• Biomedical Ontologies
• Knowledge Graphs
• +7 more

Catia Pesquita is an Associate Professor in Computer Science at the Faculty of Sciences of the University of Lisbon , where she is also a Senior Researcher at LASIGE and leads the Health and Biomedical Informatics Research Line . With a multidisciplinary background in Biology and Computer Science, she focuses on Artificial Intelligence and Data Science applications in life and health sciences . Her research spans Semantic Web , Biomedical Ontologies , Knowledge Graphs , and Explainable AI , with significant contributions to ontology matching and semantic similarity . Education: PhD in Computer Science - Bioinformatics (2012) MSc in Bioinformatics (2008) Degree in Cell Biology and Biotechnology (2005) Current Projects: KATY (2021-2024): AI-Empowered Personalized Medicine for cancer treatments. BRAINTEASER (2021-2024): AI for ALS and MS disease progression models. Research Outputs: Developed tools like AgreementMakerLight (AML) , KGsim-benchmark , and the Epidemiology Ontology . Over 133 publications with significant citations (32,909 reads, 3,889 citations). Teaching: Lectures advanced topics in Databases , Data Integration , Bioinformatics , and Big Data . Advocacy: Vice-president of Biodata.pt , promoting biological data valorization in Portugal. Actively involved in initiatives to promote computer science careers to young women .

Kai EssigView profile

Professor

• Human Factors
• Interactive Systems
• Eye Tracking
• +15 more

Prof. Dr. Kai Essig is a Professor of Human Factors and Interactive Systems at the Faculty of Communication and Environment, Rhine-Waal University of Applied Sciences, Kamp-Lintfort, Germany. He has a strong interdisciplinary background combining computer science, cognitive science, and human-computer interaction, with a focus on eye tracking, visual perception, and assistive technologies. Master of Science in Computer Science and Chemistry, Bielefeld University (1998) Ph.D. in Computer Science, Bielefeld University (2007) His research centers on eye tracking, human-computer interaction, usability engineering, visual attention, and cognitive interaction technology . He investigates how movement expertise influences visual perception and how multimodal software can support real-time human actions. His work integrates computer vision, machine learning, and neuroscience to develop intelligent systems that adapt to user behavior. The 15 most recent publications reflect a consistent trend in eye movement analysis, mental representations, brain-machine interfaces, and assistive technologies . These works span domains such as sports psychology, robotics, augmented reality, and cognitive neuroscience, demonstrating a strong interdisciplinary approach. Key themes include gaze-based interaction, automated annotation of visual behavior, and the implementation of smart systems for daily living assistance. Scientific recognition includes: Landmark in the Land of Ideas (2018) – for the ADAMAAS project, awarded by 'Land of Ideas', a joint initiative of the German government and the Federation of German Industries Prof. Essig has been actively involved in research projects such as ADAMAAS (Adaptive and Mobile Action Assistance in Daily Living Activities), which received national recognition. He has collaborated extensively with the Neurocognition and Action-Biomechanics Research Group at Bielefeld University and the Excellence Cluster CITEC. While no formal advising of students is listed, his publications suggest mentorship and collaboration with junior researchers. His lab work is centered on eye-tracking systems, multimodal interaction, and cognitive modeling , particularly within applied environments like smart glasses and assistive technologies.

• Adaptive Enterprise Architecture
• Agile Software Development
• Design Science Research
• +6 more

Professor Asif Gill is Head of Discipline for Software Engineering at the School of Computer Science, University of Technology Sydney (UTS), where he was promoted to Professor of Computer Science in January 2024. He also serves as Director of the DigiSAS Research and Innovation Lab and is actively involved in the Global Big Data Technologies Centre at UTS. As a founder of both the DigiSAS Lab and the Future Generation Enterprise Architecture Community of Practice (FGEA CoP), he has established integrated teaching-research-engagement frameworks that translate academic research into practical applications while enhancing graduate employment opportunities. Professor Gill's research interests span Adaptive Enterprise Architecture , Agile Software Development , and Design Science Research & Innovation , with a particular focus on architecting large-scale data-intensive enterprise software systems. His work addresses challenges across academia, industry, government, and society, with significant contributions to AI systems architecture, digital identity management, and enterprise knowledge graphs. His applied research has resulted in numerous collaborations with organizations including the Reserve Bank of Australia, Revenue NSW, Capsifi, Data Zoo, and the NSW Department of Planning, Industry and Environment. His publication record includes 3 books and over 190 articles in major academic journals such as IEEE Transactions on Professional Communication, Information and Management, and Information Systems. His recent work demonstrates a consistent focus on cutting-edge topics in enterprise architecture, AI systems, and digital identity, with multiple publications appearing in 2024-2025. His research trajectory shows a clear evolution from foundational work in agile software development toward more sophisticated integration of AI, enterprise architecture, and data governance. Fellow of the Australian Computer Society (ACS) Fellow of DSE (ESCP Center for Design Science in Entrepreneurship) Senior Member IEEE Associate Editor, IEEE Transactions on Technology & Society Associate Editor, Springer Nature Discover Data journals Member, Data Sharing Committee, IFIP Technical Committee 8.1 Member, Standards Australia Software and Systems Engineering Committee IT-015 Professor Gill has successfully secured numerous research grants from 2019-2026, totaling significant funding for projects related to digital identity, enterprise architecture, and AI systems. His approach emphasizes industry-academia collaboration, with many projects involving direct partnerships with government agencies and industry organizations. He has supervised multiple PhD and Master's students through industry-sponsored scholarships and maintains active collaborations with researchers across multiple institutions. Leading the DigiSAS Research and Innovation Lab, Professor Gill has created an environment that bridges theoretical research with practical implementation. The lab focuses on developing frameworks and tools for adaptive enterprise architecture, with particular emphasis on AI-enabled systems, data governance, and digital identity solutions. His work on the Data Satellite Architecture represents a significant contribution to combating data pollution in federated digital ecosystems.

Tobias DalbergView profile

Senior Lecturer

• sociology of education
• social stratification
• higher education policy
• +3 more

Tobias Dalberg is a Senior Lecturer at Uppsala University's Department of Pedagogy, Didactics and Educational Sociology, with research focusing on sociology of education, social stratification, and higher education policy. His work examines gender differentiation in course selection, curricular blind spots, and historical transformations in academic disciplines. Contact: tobias.dalberg@edu.uu.se | Personal Website Research: Utilizes graph theory, natural language processing, and geometric data analysis for educational pathway studies Current research areas include: Gendered patterns in major selection and course enrollment Educational policy analysis (1950-2020) Academic field institutionalization processes Disciplinary legitimacy struggles (1935-1980) Recent publications (2021-2024) reveal trends in: Higher education marketization and gender segregation Curriculum structure impacts on student trajectories Disciplinary evolution in social sciences and humanities Assessment consistency in educational evaluation As member of international research collaborations, Dalberg works with networks studying educational stratification and transnational academic markets. His methodological contributions include applications of network analysis for studying epidemic spread in educational contexts.

• Cognitive Neuroscience
• Neural Plasticity
• Language Processing
• +5 more

Professor Gesa Hartwigsen is a leading cognitive neuroscientist holding dual appointments as Professor for Cognitive and Biological Psychology at Leipzig University and Lise Meitner Research Group Leader at the Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS). She leads the Research Group Cognition and Plasticity, focusing on neural networks for higher cognitive functions, adaptive plasticity in cognition, and language network reorganization after stroke. Her educational background includes: Studies of Psychology (Dipl.-Psych., 2001-2006) at Kiel University PhD in Neurology (Dr. phil., 2007-2010) at Kiel University Habilitation in Psychology (2018) at University of Potsdam Hartwigsen's research spans cognitive neuroscience with particular emphasis on language processing, neural plasticity, and brain stimulation techniques. Her work investigates how brain networks support semantic cognition, how they adapt following neurological damage, and how they change across the lifespan. She employs advanced methodologies including transcranial magnetic stimulation (TMS), functional MRI, and concurrent TMS-fMRI to establish causal relationships in neural processing. Analysis of her recent publications reveals a strong focus on language networks, executive control mechanisms, and neural plasticity. Her work increasingly integrates advanced computational approaches with neurostimulation to understand semantic processing, speech comprehension in challenging environments, and recovery from language disorders. A significant trend is her development of methodological frameworks for concurrent TMS-fMRI, establishing new standards in the field. Her notable scientific recognition includes: ERC Consolidator Grant (2023-2027) for "The Flexible Brain: (Re-)shaping Adaptation in Semantic Cognition" NVIDIA GPU grant (Titan Xp Donation) Hartwigsen has secured substantial research funding, including multiple DFG projects as Principal Investigator. Her current DFG Research Unit (2023-2026) focuses on "Modulation of brain networks for memory and learning by transcranial electrical stimulation," where she serves as PI. She has successfully led multiple interdisciplinary projects examining language networks, neural plasticity, and brain stimulation effects. At the MPI CBS, she leads the Cognition and Plasticity research group, which investigates how brain networks support cognitive functions and adapt to challenges. Her team employs a multimodal approach combining neurostimulation, neuroimaging, and behavioral methods to understand the causal architecture of cognitive networks, particularly in language processing and semantic cognition.

• Information Design
• Communication Design
• Typographic Design
• +7 more

Maria dos Santos Lonsdale serves as Professor of Information and Communication Design at the University of Leeds School of Design, where she also directs PACE (Professional Academy for Creative Enterprise) and previously served as Head of School from 2020 until her current sabbatical through September 2026. With academic credentials including a PhD from the University of Reading (2006) and extensive teaching experience since 1997 across Portugal and the UK, she brings significant expertise to her roles. Her research demonstrates remarkable interdisciplinary breadth, spanning healthcare communication, cybersecurity awareness, educational technology, and sustainable fashion. Lonsdale employs rigorous user-centered methodologies including focus groups, co-design sessions, usability testing, and eye-tracking studies to validate design solutions that improve user performance and wellbeing. Her work consistently bridges theoretical research with practical applications across multiple sectors. Lonsdale holds influential editorial positions as Editor-in-Chief for Visible Language journal (starting January 2025) and former Editor-in-Chief (2020-2024) for the Information Design Journal. She actively contributes to the academic community as an Academic Advisor for Luto (a global health communications company) and as a reviewer for major publishers including Sage and Routledge. Senior Fellow of the Higher Education Academy (SFHEA) Member of the International Society of Typographic Designers (MISTD) Regular contributor to design research societies Her research output reveals consistent focus on making information accessible and usable across diverse contexts, from virtual learning environments to public health communications. Lonsdale's work demonstrates how thoughtful application of design principles can solve complex real-world problems while enhancing user experience and information comprehension.

Steve OneyView profile

Associate Professor

• Human Computer Interaction
• Programming Education
• Accessibility and Computing
• +5 more

Steve Oney is an Associate Professor at the University of Michigan School of Information and Computer Science and Engineering (by courtesy). His research focuses on enabling and encouraging more people to write and customize computer programs by creating new programming tools and exploring usability issues in programming environments. With a strong background in Human-Computer Interaction, he bridges the gap between theoretical research and practical applications in programming education, accessibility, and developer tool design. Dr. Oney completed his Ph.D in Human-Computer Interaction at Carnegie Mellon University's Human-Computer Interaction Institute under Professor Brad Myers and Dr. Joel Brandt. He also earned an M.Eng in Computer Science and SB degrees in Computer Science and Mathematics from MIT. His research spans multiple interconnected areas with a unifying theme of making programming more accessible and understandable. Key focus areas include programming education tools that help instructors understand student code at scale, web automation systems that simplify repetitive tasks, accessibility research addressing challenges faced by visually impaired programmers, and innovative VR programming environments. His work consistently emphasizes the human aspects of programming, exploring how tools can better support diverse programming needs and contexts. Dr. Oney's research output shows a strong trajectory toward increasingly sophisticated tools that integrate AI capabilities while maintaining a focus on human-centered design principles. Recent publications demonstrate growing emphasis on inclusive design, educational applications, and the integration of generative AI in programming environments. L@S 2024 Best Paper Award for CFlow CHI 2023 Honorable Mention for VizProg UIST 2024 Best Short Paper (EdCode) VL/HCC 2019 Best Short Paper Recognition for Contribution to Diversity and Inclusion (CSCW 2021) UMSI Excellence in Instruction Award (2021) University of Michigan President's Postdoctoral Fellowship (2015) As a mentor, Oney advises multiple Ph.D. students and postdoctoral researchers, with several successful graduates including Dr. Lei Zhang (June 2024). His research has secured over $1 million in funding from the National Science Foundation, Google, and Adobe, supporting projects that address critical challenges in programming education, accessibility, and developer tool design. He leads the Programming Tools Lab at the University of Michigan, where his team develops innovative tools that help programmers work more effectively. Current projects focus on AI-enhanced programming education, web automation, accessibility for diverse user groups, and next-generation programming environments for virtual and augmented reality.

Bradley HayesView profile

Associate Professor

• Human-Robot Interaction
• Explainable AI (XAI)
• Collaborative Robotics
• +5 more

Bradley Hayes is an Associate Professor of Computer Science and Director of the Collaborative AI and Robotics (CAIRO) Laboratory at the University of Colorado Boulder. His work focuses on enabling autonomous agents and robots to collaborate safely and effectively with humans through techniques in human-robot interaction, explainable AI, and learning from demonstration. PhD in Computer Science, Yale University (2015) Postdoctoral Associate, MIT Interactive Robotics Group Research interests span collaborative robotics, dependable AI systems, and imitation learning for human-robot teaming, with applications in manufacturing, healthcare, and autonomous vehicles. His lab develops methods for task planning, motion prediction, and trust calibration in human-machine partnerships. Recent publications emphasize explainable sequential decision-making, neuromorphic learning architectures, and augmented reality interfaces for robotic training. Awards include Sustainability Recognition (2025) for motion planning efficiency Best Student Paper Runner-up (AAMAS 2022) Best Technical Paper Runner-up (HRI 2019) As lab director, he has mentored 12 PhD/Master students to completion, including Matthew Luebbers, Aaquib Tabrez, and Christine Chang. Funding sources include NSF grants and industry partnerships like Circadence, where he serves as Chief Technology Officer.

• Journalism
• Communication
• Computational Communication
• +5 more

Xu Xiang is a Tenured Professor and Vice Dean at Tongji University School of Art and Media , where he serves as Director of the Big Data and Computational Communication Research Center. He is also Editor-in-Chief of Computing, Intelligence, and Communication , reviewer for CSSCI journals, and former Deputy Secretary-General of Beijing Society of Literature and Art. PhD in Literary Theory (Beijing Normal University, 2009) M.A. in Chinese Language and Literature (Tsinghua University, 2006) B.A. in Sociology (Nanjing University, 2004) His research focuses on computational communication, particularly analyzing social media networks, user behavior, and information dissemination. He established key theoretical frameworks including 'Opinion Paradigm', 'Social Echo Chamber', 'Influence Circle', 'Idol Conformity', 'Emotional Setting', and 'Silent Public Opinion', with extensive publications on social media emotional dynamics, information narrowing, and cultural communication mechanisms. His 15 most recent publications (2017-2022) demonstrate consistent exploration across computational communication theory, algorithmic platform analysis, and social media's role in cultural dissemination. Key research trends include information narrowing mechanisms, emotional preference patterns, and structural transformations in social media ecosystems. Fourth China 'News Communication Academic Award' (2018) Youth New Media Academic Research 'Qi Hao Award' (2018) National News Academic Youth Scholar Award (2012) Beijing-Taiwan Research Award (2013) Beijing Outstanding Talent Funding (2011) Tongji University '13th Five-Year Plan' Scientific Research Advanced Individual (2020) As an award-winning mentor, he guided student teams to first, second, and third prizes in multiple national competitions including China Data Journalism Competition and National Undergraduate New Media Creative Competition. His research bridges academic theory with policy practice, with findings receiving Central Politburo member instructions and extensive national media coverage.

Susanne LachenichtView profile

Professor

• Early Modern History
• Atlantic History
• Migration Studies
• +4 more

Susanne Lachenicht is a Professor of Early Modern History at the University of Bayreuth since 2009. She holds the Chair of Early Modern History within the Faculty of Cultural Studies . Her academic journey includes a Habilitation at the University of Hamburg (2009), a PhD from Ruprecht-Karls-Universität Heidelberg (2002), and studies at Université Paris 1 Panthéon-Sorbonne (1995). She has held visiting professorships at institutions in France, the UK, and the USA. Education 2009: Habilitation in Early Modern and Modern History, University of Hamburg 2002: PhD, Early Modern and Modern History, Heidelberg 1996: Magister Artium in Medieval, Early Modern, and Modern History/German Literatures, Heidelberg 1995: Maîtrise d'Histoire in Modern History, Université Paris 1 Research Interests focus on knowledge transfer in the Atlantic World , clash of knowledge systems , and formation of colonial discourse through natural histories. She examines how early modern media (e.g., periodicals, books ) facilitated cultural exchange, particularly among Huguenots, Sephardi Jews , and other diasporic groups. Her work bridges confessional boundaries , transnationalism , and historical globalization . Academic Leadership includes co-editing series like Anthem Intercultural Transfer Studies , Forum historische Forschung – Frühe Neuzeit , and Humanities . She serves on the European Research Council (ERC) Advanced Grant Review Panel SH6 and advisory boards for institutions in Paris, Berlin, and Heidelberg. Key Contributions Founded the Summer Academy of Atlantic History (SAAH) (2009) Spokesperson for the Emerging Field 'Cultural Encounters and Transcultural Processes' (2012-2023) Member of the Bayreuth Institute for American Studies (BIFAS)

Leanne M. CurrieView profile

Associate Professor

• Nursing Informatics
• Health Information Technology
• Patient-Centered Care
• +7 more

Leanne M. Currie is an Associate Professor at the UBC School of Nursing , part of the University of British Columbia's Faculty of Applied Science. Her work bridges nursing practice with health informatics, focusing on technology-mediated stigma reduction, usability design, and equity in digital health platforms. Nursing Informatics Health Information Technology Virtual Health Systems Stigma Reduction in Digital Platforms Equity, Diversity, and Inclusion (EDI) in Technology Community and Rural Health Equity Her recent research explores EHR compatibility, mHealth adoption, and the social determinants of critical illness recovery. She develops tailored digital tools for patient self-management and integrates Indigenous knowledge frameworks into health informatics curricula. Her work emphasizes human-centered design, safety in clinical technology, and cross-sectoral collaboration. Dr. Currie's publications highlight partnerships with healthcare providers to address technology-related safety events, co-design of person-centered apps, and the impact of digital tools on nurse emotional exhaustion. She actively contributes to defining anti-stigma design guidelines and advancing fair classification systems in health equity.

Silke HamannView profile

Researcher

• Phonology
• Phonetics
• Language Acquisition
• +8 more

Dr. Silke Hamann is a researcher at the University of Amsterdam, Faculty of Humanities, Department of Linguistics. Her work bridges phonology and phonetics, focusing on the emergence of phonological features, perceptual cues in segmental contrasts, and the interaction of phonology with orthography and language acquisition. Current projects: diachronic loanword adaptation, congenital amusia's impact on speech perception, Bantu languages (with Nancy Kula and Laura Downing), Catalan studies (with Francesc Torres-Tamarit) Research interests span synchronic/diachronic phonology, phonetic perception, computational modeling of phonological acquisition, and cross-linguistic analysis of retroflex consonants. Her publications analyze phenomena in Korean, Japanese, Bantu languages, German, Portuguese, and Slavic languages, with recurring themes of cue weighting, phonological constraints, and orthographic influence. Recent articles highlight her focus on creaky voice diagnostics, loanword phonotactics, congenital amusia, and Bantu intonation systems. Collaborations with Nancy Kula (Bantu) and Francesc Torres-Tamarit (Catalan) underscore her international research network.