Find Academic Supervisors

Daniel A. McAdamsView profile

Professor

• Design Theory
• Bio-inspired Design
• Product Architecture
• +3 more

Daniel A. McAdams is the Robert H. Fletcher Professor in Mechanical Engineering at Texas A&M University and serves as the NSF Program Director of Convergent Activities. His research develops design theory and methodology with focus on functional modeling, bio-inspired design, and technology evolution. Educational Background: PhD in Mechanical Engineering from University of Texas at Austin MS in Mechanical Engineering from California Institute of Technology BS in Mechanical Engineering from University of Texas at Austin His research investigates innovation in concept synthesis through computational methods, bio-inspired design approaches, and technology evolution applied to product development. Current projects include function-sharing principles in biological systems, digital twin architectures, and patent mining for technology forecasting. Recent publications explore applications of speculative fiction in design ideation, graph-theoretic approaches for digital twins, and automated assessment in engineering education, demonstrating cross-disciplinary innovation across design science. Awards and Honors: ASME Design Theory and Methodology Award Distinguished Achievement Award for Student Relations Multiple Faculty Fellow awards Design Studies Best Paper Award Outstanding Faculty Mentor Award He leads the Product Synthesis Engineering Lab, advancing design methodologies for complex engineered systems through computational approaches and biological analogies.

• Crop production
• Horticulture
• Plant physiology
• +16 more

Prof. LFM (Leo) Marcelis is a Professor and Chairholder at the Department of Horticulture and Product Physiology, Wageningen University & Research. His research focuses on plant physiology in controlled environments, energy-efficient horticultural systems, and vertical farming technologies. He leads major projects such as SKY HIGH and 'LED it be 50%', aiming to revolutionize plant production through smart lighting and sustainable practices. Key research interests include optimizing crop growth under LED lighting, closed-system agriculture, and enhancing resource use efficiency. Marcelis coordinates courses on plant physiology, greenhouse horticulture, and vertical farming. He actively collaborates with industry partners, governments, and international institutions to bridge academic research with practical applications in global horticulture. He serves as Vice Chair of the Leibniz Institute’s Science Advisory Board and as Chief Editor of the Crop and Product Physiology section in Frontiers in Plant Science . His work emphasizes interdisciplinary approaches, integrating physiology, engineering, and data science to address food security and sustainable agriculture challenges. Marcelis advises numerous PhD students on projects related to plant-light interactions, crop modeling, and vertical farming scalability. His research has contributed to advancing energy-saving technologies and improving crop quality in both greenhouse and urban agricultural settings.

• Primatology
• Animal Behavior
• Evolutionary Anthropology
• +3 more

Ian Gilby is an Associate Professor at the School of Human Evolution and Social Change, Arizona State University. His research focuses on the social behavior, ecology, and cognition of wild chimpanzees, particularly within the context of long-term studies at Gombe National Park, Tanzania. Gilby investigates topics such as cooperative hunting, dominance hierarchies, social bonding, and the influence of ecological factors on primate behavior. His work bridges primatology, evolutionary biology, and conservation science, with a strong emphasis on understanding the adaptive strategies of chimpanzees in complex social environments. Key themes in Gilby’s research include the evolution of cooperation, reproductive strategies, and the ecological drivers of social behavior. He has contributed significantly to studies on chimpanzee aggression, hunting tactics, and the role of vocal communication in group coordination. His findings highlight the intricate relationship between social structure, ecological conditions, and individual success in primate communities. Notably, Gilby is involved in the Gombe Chimpanzee Project, analyzing long-term datasets to address questions about data sharing in conservation science and the impacts of environmental changes on wildlife. While no formal awards or grants are explicitly mentioned in the provided texts, his extensive publication record underscores his expertise in primate behavior and ecology.

Radu JianuView profile

Lecturer

• Data Visualisation
• Visual Analytics
• Human Computer Interaction
• +7 more

Dr. Radu Jianu is a Lecturer in the Department of Computer Science at City, University of London , where he has been a faculty member since 2016. He is affiliated with the giCentre , a leading research group in information visualization. He earned his PhD and MSc in Computer Science from Brown University, USA, and a Diploma in Engineering from the Polytechnic University of Timisoara, Romania. His academic career includes a previous role as Assistant Professor at Florida International University (2012–2016). His research focuses on Data Visualisation, Visual Analytics, and Human-Computer Interaction . He conducts interdisciplinary collaborations with domains such as biology, food policy, and energy decarbonisation, aiming to develop interactive visual tools that enhance data understanding and decision-making. His methodological approach includes user studies, eye-tracking, and the design of novel visualization techniques. Dr. Jianu teaches Programming in Java and Cognition and Technologies , and he coordinates the Programming Bootcamp. He also holds administrative responsibilities as the Progression and Support Director in the Computer Science Department and is a member of its Executive Committee (ExCo). His recent publications reflect a growing interest in LLM-assisted visual analytics, gaze-aware systems, and collaborative human-AI analytical frameworks . He has published in top venues such as IEEE TVCG, CHI, EuroVis, and Nature Immunology, with several best paper awards. His work on the RAMPVIS project highlights his contributions to visualization in public health emergencies. Scientific Awards: Best Paper Award, Symposium on Graph Drawing (2018) Best Short Paper Award, EuroVis (2020) Advising and Grants: Dr. Jianu supervises multiple PhD and MSc students, including Dany Laksono (Energy Decarbonisation) and Maeve Hutchinson (NLP-mediated Visualization). His students have co-authored high-impact, award-winning papers. He has been involved in funded research initiatives such as RAMPVIS, which received support from UKRI/EPSRC for developing visual analytics infrastructure during the COVID-19 pandemic. Labs and Teams: He is an active member of the giCentre at City, University of London, a hub for visualization research. He also collaborates with interdisciplinary teams in epidemiology, immunology, and computer science, contributing to large-scale projects like the Immunological Genome Project and RAMPVIS.

Tongguang LiView profile

Research Fellow

• Learning Analytics
• Artificial Intelligence in Education
• Self-Regulated Learning
• +3 more

Tongguang Li is a Research Fellow at the Department of Human Centred Computing, Monash University. His research focuses on learning analytics, self-regulated learning, and AI applications in education. He has contributed to the development of the FLoRA engine, an AI tool designed to enhance hybrid human-AI regulated learning. Li’s work explores adaptive scaffolding, large language model (LLM) feedback systems, and the integration of multimodal data for educational insights. His recent studies investigate how LLMs like ChatGPT can provide effective feedback to students, analyze rhetorical patterns in writing, and measure the impact of scaffolding on learning processes. Li has been recognized for his research with the Conference Best Full Student Paper Award from the Australiasian Society for Computers in Learning in Tertiary Education (2022). Key themes in his work include understanding self-regulated learning strategies through trace data, optimizing adaptive systems for learner engagement, and leveraging AI for educational innovation. His research bridges cognitive science, data analytics, and educational technology to improve learning outcomes and pedagogical practices.

Lili LiuView profile

Professor

• Dementia Care
• Technology for Aging Populations
• Healthcare Technologies
• +5 more

Lili Liu is the Dean of the Faculty of Health and a Professor at the University of Waterloo. Her research focuses on leveraging technologies to support older adults and family caregivers, particularly those living with dementia. She leads projects funded by Age-Well NCE, including apps for dementia risk management, usability scales for locating missing persons, and national data strategies. Collaborating with Ryerson University, she develops drone algorithms for locating cognitively impaired individuals. Education: PhD, MSc, and BSc in Rehabilitation Science and Occupational Therapy from McGill University. Research interests emphasize assistive technologies, caregiver support, smart home systems, and mixed-methods approaches. She explores ethical challenges in tech adoption, such as privacy concerns in alert systems and guardianship implications. Recent work includes digital storytelling interventions and frameworks for autonomy and independence in aging populations. Publications span dementia-related wandering, technology acceptance, and fall detection, with a focus on translational research. She advocates for policy changes through initiatives like Alberta’s Bill 210 (Silver Alert system). Current lab activities include the Aging and Innovation Research Program (AIRP), focusing on tech solutions for aging challenges.

Katrin VorkampView profile

Professor

• Environmental Chemistry
• Toxicology
• Arctic Environmental Science
• +3 more

Professor Katrin Vorkamp holds a position at the Department of Environmental Science, specializing in Environmental Chemistry and Toxicology at Aarhus University. Her research focuses on understanding the transport, exposure pathways, and impacts of persistent pollutants such as PFAS, POPs, and mercury in Arctic and Antarctic ecosystems, with a particular emphasis on wildlife and human health implications. She has contributed to projects addressing climate change effects on contaminant dynamics, policy-oriented monitoring frameworks (e.g., Water Framework Directive), and innovative methods like passive sampling and non-target screening. Her work spans interdisciplinary collaborations, including the AMAP Core 2025-2027 project tracking pollution in Greenland biota and the ArcSolution initiative exploring a One Health perspective in Arctic pollution. She also leads the NAMMINE project on non-target analysis in Nordic marine mammals. Key themes in her research include understanding local vs. long-range pollutant sources, climate-contaminant interactions, and developing early warning systems for emerging chemicals. Publications highlight her expertise in biochar applications for waste valorization, contaminant trends in Adélie penguin eggs, and computational tools for risk assessment. Her projects often bridge environmental science with policy, aiming to inform sustainable solutions for pollution challenges in sensitive ecosystems.

• Foreign Language Didactics
• Action-Oriented Language Teaching
• Multilingualism
• +10 more

Dagmar Abendroth-Timmer is a Professor in Romance Studies - Didactics at the University of Siegen, Faculty I. She is a leading figure in foreign language didactics, with a strong focus on action-oriented teaching, multilingualism, teacher education, and digital learning environments. Her research is deeply international, involving collaborations across Europe through projects like LANGSCAPE, ENROPE, and ViMuLEnc. University: University of Siegen School: Faculty I Department: Romance Studies - Didactics Position: Professor Email: abendroth@romanistik.uni-siegen.de Her research interests include foreign language didactics, multilingual and intercultural education, teacher professionalization, empirical research methods, and digital learning. She has made significant contributions to the development of action-oriented language teaching models, particularly in digital and multilingual contexts. Her recent publications explore virtual multilingual encounters, translanguaging, and identity formation in language classrooms. The recent articles reflect a strong trend toward digitalization in language education, with a focus on virtual exchange, teacher training in digital environments, and the role of multilingualism in online learning. There is a consistent emphasis on reflective practice, identity, and critical pedagogy across her work. She is actively involved in academic leadership, serving as a network consultant for LANGSCAPE and coordinating international projects. She has contributed to numerous edited volumes and special journal issues, particularly on plurilingualism and teacher education. Dagmar Abendroth-Timmer supervises research assistants and contributes to curriculum development in teacher education. She is engaged in ongoing research projects such as ViMuLEnc, which explores virtual multilingual learning encounters, and drama pedagogy in language teaching. Her work bridges theory and practice, aiming to enhance both teacher training and classroom instruction in foreign languages.

Lukas EngelmannView profile

Senior Lecturer

• History of Epidemiology
• History of Science and Medicine
• Digital Health
• +7 more

Lukas Engelmann is a Senior Lecturer at the University of Edinburgh , specifically within the Science, Technology and Innovation Studies department under the School of Social and Political Science . His research focuses on the history and sociology of biomedicine , with particular interest in epidemiological reasoning , visual cultures of disease , digital epidemiology , and decolonial approaches to medical history . The Epidemy Lab , which he founded, explores the historical development of epidemiology and its contemporary influence on data-driven public health and pandemic policy-making . Engelmann's work has been funded by prestigious grants including an ERC Starting Grant (2021-2025) for his research on the history of epidemiological reasoning, and support from the Wellcome Trust for projects examining the social dimensions of digital health . His book 'Mapping AIDS' (2018) established him as a leading scholar in medical visualization , while 'Sulphuric Utopias' (2020) with Christos Lynteris explores the technological history of maritime sanitation and its political implications. Recent publications emphasize the visual and data practices that have shaped epidemiology, including works on epidemic modeling during the COVID-19 pandemic , the history of plague mapping , and the ethical implications of digital phenotyping . He has also contributed to interdisciplinary discussions on syndemics , co-infection epistemology , and the commercialization of bacteriology in the early 20th century. His scientific contributions have earned recognition through editorial roles in journals like Big Data and Society , and collaborative projects such as 'Working with Diagrams' (2022) which investigates the epistemological role of visual tools in medical knowledge production. Scientific Awards and Funding: ERC Starting Grant (2021-2025) Wellcome Trust Institutional Support Fund British Academy/Leverhulme Small Research Grant Chancellor's Fellowship (University of Edinburgh) 'Sulphuric Utopias' listed in The Guardian's 30 Books to Understand the World (2020)

Thomas KrügerView profile

Professor

• Urban Development
• Real Estate Economics
• Project Management in Urban Planning
• +2 more

Thomas Krüger is a Professor of Project Development at HafenCity University Hamburg (HCU). He leads the research group Real Estate and Urban Development and focuses on interactions between urban development, real estate economics, and project management. His work explores new governance models, public-private partnerships, and digital tools for planning evaluation. Current positions: Professor at HCU, Head of Research Group Research: Urban centers, real estate dynamics, project governance Teaching: Project development, real estate economics, urban management Research highlights include: 2010–2014: RegioProjektCheck – regional evaluation tools for sustainable development Since 2007: Urban Improvement Districts – new property owner collaborations Since 2006: Impact of Shopping Centers on urban structures His scientific contributions span over 30 years, with recent work on: 2025: Urban planning-real estate tensions 2024: Strategic alliances for city centers 2023: Night economy, pandemic impacts on urban retail Leadership roles include: BAföG Officer for urban planning programs Member of HCU Academic Senate Coordination of integrated planning courses He is affiliated with research networks like the Research Association for Urban Synergies and contributes to City Science Lab initiatives.

Doron BetelView profile

Assistant Professor

• Computational Genomics
• Bioinformatics
• Single-cell RNA-seq Analysis
• +3 more

Doron Betel serves as an Assistant Professor at Weill Cornell Medicine's Graduate School of Medical Sciences, with affiliations in both the Physiology, Biophysics & Systems Biology and Computational Biology programs. He directs the Applied Bioinformatics Core (ABC), a central service group providing specialized computational and analytical support for biomedical research across multiple institutions. Dr. Betel's research focuses on developing computational genomic tools for studying human diseases and cellular development, with emphasis on integrative analyses of genomic and epigenomic data from high-throughput assays. His work addresses specific questions related to disease progression, treatment response, stem cell differentiation, and neurological processes through two closely interacting research groups: the Applied Bioinformatics Core and his independent research lab. The analysis of his recent publications reveals a strong emphasis on single-cell and spatial genomics, cross-species data integration, and machine learning applications in cancer immunology and neurodegenerative disease modeling. His research spans multiple high-impact areas including cancer immunotherapy, stem cell biology, diabetes research, and cardiovascular regeneration, with numerous publications in top journals like Nature, Cell, and Nature Immunology. Through the Applied Bioinformatics Core, Dr. Betel provides extensive analytical support across various genomic platforms including single-cell RNA-seq, spatial transcriptomics, ChIP-seq, ATAC-seq, and variant calling. The Core serves as a vital resource for researchers at Weill Cornell Medicine and the broader Tri-Institutional network, offering specialized analysis, computational pipelines, and training services. Dr. Betel maintains extensive collaborations with leading researchers including Lorenz Studer at MSKCC for stem cell and neurodegenerative disease research, Tuomas Tammela for cancer genomics, and multiple immunology researchers studying T cell function in autoimmunity and cancer. His work bridges computational methodology development with direct biomedical applications across multiple disease areas.

• Easy Language Research
• Plain Language Translation
• Accessible Communication
• +6 more

Dr. Silvana Deilen is a Researcher at the Institute for Translation Studies & Technical Communication within the Faculty of Language and Information Sciences at the University of Hildesheim. She joined the university in 2023 after working as a Research Associate at Johannes Gutenberg University Mainz from 2018-2024. Her primary research focus centers on accessible communication, particularly in the areas of Easy Language and Plain Language translation, with special emphasis on cognitive aspects of translation processes and AI-assisted translation technologies. Dr. Deilen earned her B.A. in Multilingual Communication from Cologne University of Applied Sciences (2012-2015), followed by an M.A. in Specialized Translation from the same institution (2015-2018). She completed her doctoral studies (Dr. phil.) in Translation Studies at Johannes Gutenberg University Mainz (2018-2021) with summa cum laude distinction, supervised by Prof. Dr. Silvia Hansen-Schirra and Prof. Dr. Arne Nagels. Her research interests span multiple interconnected domains within translation and communication accessibility. A significant portion of her work examines the cognitive processing of compound words in Easy Language, utilizing eye-tracking methodologies to investigate how visual segmentation affects reading behavior and cognitive load. She has pioneered research on AI-assisted translation for health communication, particularly focusing on how large language models can support the creation of accessible health information. Her work bridges theoretical translation studies with practical applications in healthcare, government communication, and digital accessibility. Dr. Deilen's publication record reveals a clear trajectory toward increasingly sophisticated integration of technology and accessibility. Her recent work shows strong emphasis on evaluating AI systems like ChatGPT for translation tasks, developing editorial workflows for AI-assisted translation of health information, and investigating cognitive aspects of compound translation. The interdisciplinary nature of her research connects linguistics, cognitive science, health communication, and artificial intelligence, demonstrating how translation studies can address real-world accessibility challenges. 2014 & 2016: PROMOS Scholarships 2018-2021: Doctoral Scholarship from Gutenberg Young Researchers College 2020: Best Student Paper Award at Swiss Conference on Barrier-free Communication 2023: Award for Outstanding Dissertation from Johannes Gutenberg University Mainz 2023: Multiple research grants from University of Hildesheim, Wort & Bild Verlag, and Niedersachsen Zukunftsdiskurse 2025: DAAD Postdoctoral Research Grant Dr. Deilen actively collaborates on significant research projects including the KI-GesKom project (AI-Supported Health Communication in Plain Language), which receives funding from the state of Niedersachsen. She works closely with Prof. Dr. Ekaterina Lapshinova-Koltunski, Prof. Dr. Christiane Maaß, and Sergio Hernández Garrido as part of the Research Center for Easy Language. Her work with the Apotheken Umschau demonstrates practical application of research, translating health information into accessible formats for people with communication limitations. Dr. Deilen also contributes to the academic community as a program chair and scientific committee member for international conferences including UCCTS 2025 and Translation in Transition 2024.

Crina DamsaView profile

Professor

• Higher Education
• Collaborative Learning
• Interdisciplinary Learning
• +4 more

Crina Damsa is a Professor at the Department of Education, University of Oslo. Her research focuses on collaborative learning, interdisciplinary learning, and the role of digital technologies (including AI) in knowledge work and education. She leads projects like Unpacking collaboration: Multimodal analysis and combined method designs and Learning Ecologies in Higher Education , and is involved in research groups such as HEDWORK and LIDA. PhD in Educational Research, University of Oslo (2013) MSc in Learning Design and Technology, Utrecht University (Netherlands) BA in Language and Literature, Babes-Bolyai University (Romania) Her work examines sociocultural and sociomaterial aspects of learning, with a focus on student-centered environments, design-based research, and multimodal learning analysis. She supervises PhD students and contributes to methodological advancements in learning sciences. Editorial roles: Area Editor for Learning in Context , member of editorial boards for journals like Journal of the Learning Sciences and Frontline Learning Research Projects: Academic Hospitality in Interdisciplinary Education (AHIE) , Digital Integration of Video Assessment (DIVA) , Digital Tracing of Collaborative Learning (DigiT) , Global Teacher Education (GatherED)

Maria AntoniakView profile

Assistant Professor

• natural language processing
• cultural analytics
• interdisciplinary research
• +7 more

Maria Antoniak is an Assistant Professor in Computer Science at the University of Colorado Boulder, with affiliations to the Department of Information Science. Her research bridges natural language processing and cultural analytics, focusing on computational methods to analyze language-culture intersections in online communities and healthcare settings. Her recent work explores research cultures and LLM adaptations (ACL 2025), ethical human-LLM interactions (COLM 2024), and story detection in digital spaces (ACL 2024). Publications span maternal healthcare NLP (FAccT 2024), bias measurement (ACL 2021), and narrative power dynamics (CSCW 2019). She has served on editorial boards for the Journal of Cultural Analytics and Computational Humanities Research (CHR) Journal, and as Senior Area Chair for ACL 2025. Her outreach includes founding AI for Humanists workshops and developing cultural analytics tools like Little Mallet Wrapper and Riveter. Antoniak completed her PhD in Information Science at Cornell University, advised by David Mimno, and holds an MS in Computational Linguistics from the University of Washington. She is actively recruiting students for Fall 2026 and has taught NLP-related courses at multiple institutions globally.

Konstantin VoigtView profile

Professor

• Medieval Music History
• Latin Song Traditions
• Music Theory (Antiquity & Middle Ages)
• +7 more

Konstantin Voigt, Professor of Musicology II , serves at the University of Würzburg within the Faculty of Philosophy and Institute of Music Research. His research spans medieval Latin song traditions, music theory, notation systems, and digital humanities applications. He also explores 20th-century composers like Arnold Schoenberg and the reception of medieval music in popular culture. Current: Chair of Musicology II, University of Würzburg (2024–) Previous: Tenure-track Professor, University of Freiburg (2020–2024) Education: PhD (Würzburg), MA (Erlangen-Nürnberg), Musicology & Art History Voigt's research bridges premodern music history with digital methodologies, focusing on: Medieval Latin song structures (9th–13th centuries) Development of musical notation and visualization Digital editions as tools for manuscript analysis Intermedial relationships in postmodern composition Stefan George’s poetry in Schoenberg’s works His recent publications analyze scribal practices in Paris 1139 manuscripts and digital approaches to monophonic music. He co-leads the Weave Lead project on French music reception in Central Europe before 1350 and contributes to the Corpus monodicum digital edition. Collaborations include PD Dr. Hana Vlhova-Wörner (Prague) and institutions like the Schola Cantorum Basiliensis.