Find Academic Supervisors

• Child Development
• Self-Regulation
• Diversity Science
• +6 more

Ying Zhang serves as an Assistant Professor in the Department of Psychology within Clarkson University's Lewis School of Health & Life Sciences, where her research examines developmental trajectories of cognitive, social, and emotional functioning from early childhood through emerging adulthood. Her work emphasizes contextual influences including cultural dynamics, socioeconomic conditions, and family relationships on self-regulation development. Her educational background includes: Ph.D. in Psychology from Syracuse University (2021) M.Ed. in Education from Jilin University (2012) B.Eng. in Engineering from University of Jinan (2008) Grounded in Diversity Science , Dr. Zhang investigates ecological influences on child self-regulation, particularly examining how intimate partner violence exposure, parental mental health, and socioeconomic disparities create pathways for risk and resilience. Her methodological approach integrates advanced statistical modeling with longitudinal designs, latent profile analyses, and machine learning techniques to analyze large secondary datasets, generating insights applicable to real-world interventions for vulnerable populations. Analysis of her 15 most recent publications (2023-2025) reveals three dominant research streams: (1) intricate mechanisms linking intimate partner violence to child self-regulation through parenting stress pathways, (2) socioeconomic and cultural influences on developmental outcomes using machine learning methodologies, and (3) diversity promotion in higher education contexts. Her work increasingly incorporates technology applications, including AI-based violence detection systems. Dr. Zhang actively involves undergraduate researchers in her projects, as evidenced by numerous student co-authorships, and teaches courses including Introduction to Psychology, Cultural Psychology, Diversity Science, and Prenatal/Child Development. Her office is located in Clarkson's Science Center (Box 5825) with open hours Mondays and Fridays 1-3:30pm.

Tina ComesView profile

Professor

• Crisis Informatics
• Decision Theory
• Disaster Management
• +2 more

Tina Comes is a Full Professor in Decision-Making & Digitalisation at the University of Maastricht, Netherlands. She holds a part-time position (0.2 FTE) and has previously held academic roles at TU Delft (Associate Professor in Decision-Making for Resilience, 2017), University of Agder (Full Professor in ICT, 2015-2017), and Visiting Professor at Lamsade, Université Dauphine, Paris (2014). Her research focuses on Crisis Informatics , Decision Theory , Disaster Management , Humanitarian Logistics , and Resilience . Her work spans building simulation , ventilation systems , and energy-efficient design , with grants totaling €9.6 million since 2012. Key projects include Resilient Systems (NL Ministry of Defense, 2020-2026), H2020 HERoS (2020-2023), and Climate Resilient Urban Infrastructure (Amsterdam, 2020-2022). She has supervised 6 PhD students at TU Delft (2017-2022), 3 Postdocs/PhDs at University of Agder (2013-2020), and 1 PhD at Université Toulouse (2014-2018). Her scientific awards include: 2020 José Maria Sarriegi Award by the Spanish Red Cross 2019 Emerald Literati Award 2016 Delft Technology Fellowship (acceptance rate 2012 Best Paper Award at ISCRAM Conference

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

Ling Zhao is a distinguished Professor at the School of Management, Huazhong University of Science and Technology, China, with extensive research contributions spanning artificial intelligence, machine learning, information systems, and biomedical applications. With over 150 publications since 2008, Dr. Zhao has established herself as a leading researcher in multiple interdisciplinary domains, particularly in applying computational methods to solve complex real-world problems. Dr. Zhao's research interests encompass a broad spectrum of cutting-edge topics including artificial intelligence, machine learning, data mining, control systems, and information systems. Her work demonstrates exceptional versatility, bridging theoretical computer science with practical applications in healthcare, transportation, cybersecurity, and business management. Notably, she has made significant contributions to sentiment analysis, medical image processing, algorithmic management, and privacy-preserving data analysis. Her research methodology often combines deep learning approaches with domain-specific knowledge to develop innovative solutions. Analysis of Dr. Zhao's recent publications (2023-2025) reveals a strong focus on interdisciplinary applications of AI, with particular emphasis on healthcare informatics (medical image analysis, disease diagnosis), human-computer interaction (algorithmic management effects), and advanced machine learning techniques (graph neural networks, multimodal learning). Her work shows a consistent trend toward increasingly complex and integrated systems that address real-world challenges across multiple domains. Dr. Zhao has made substantial contributions to academic advising and research mentorship, though specific student names aren't detailed in the available publications. Her research has been supported by various grants enabling work in AI applications, biomedical engineering, and information systems. Dr. Zhao maintains active collaborations with researchers across China and internationally, as evidenced by her co-authorship patterns. While specific laboratory information isn't explicitly mentioned in the publication records, Dr. Zhao appears to lead or be significantly involved in research groups focusing on AI applications in management and healthcare. Her work on medical imaging, sentiment analysis, and control systems suggests involvement in multiple specialized research teams addressing different application domains through computational approaches.

• Machine Learning
• Artificial Intelligence
• Virtual Reality
• +3 more

Simon Colreavy Donnelly is an Associate Professor in the Department of Computer Science & Information Systems at the University of Limerick. He is a member of the Interaction Design Centre and focuses on interdisciplinary research at the intersection of artificial intelligence, educational technology, and healthcare informatics. His work spans machine learning applications in medical data analysis, virtual reality (VR) and extended reality (XR) for inclusive education, and deep learning techniques in chemical analysis and spectroscopy. Research Interests: His primary areas of investigation include generative AI for education equity, semisupervised learning algorithms, virtual learning environments design, and the ethical deployment of immersive technologies in healthcare and palliative care. He also explores NMR spectroscopy analysis using deep learning and develops tools for nutritional content estimation through image processing. Collaborations: His recent collaborations span international teams addressing challenges in toxicity-free online discourse (PAN 2024), semisupervised learning distribution mismatches, and VR applications for post-pandemic blended learning. His work integrates computational methods with real-world applications in education, healthcare, and chemical analysis. Labs/Teams: Active within the Interaction Design Centre at UL, his research group develops practical solutions for accessibility in digital education and healthcare systems, emphasizing user-centered design principles for extended reality applications.

• High-Level Synthesis
• FPGA Design
• Hardware Engineering
• +3 more

Sakari Lahti is a Lecturer in the Department of Computing Sciences at Tampere University, within the Faculty of Information Technology and Communication Sciences. His primary responsibilities include teaching digital logic and hardware design. He holds an ORCID identifier: 0000-0002-9915-4784 . Lahti's research focuses on High-Level Synthesis (HLS) for FPGAs, with emphasis on optimizing embedded systems, real-time applications, and digital signal processing. His work spans FPGA implementation techniques, compiler optimizations for HLS tools, and practical applications in media processing and wireless communications. Notable projects include real-time HEVC video encoding and nonlinear self-interference cancellation systems. His publications reflect a sustained contribution to FPGA-based hardware design, with a decade of work from embedded systems (2002) to modern C++ integration in HLS (2023). Collaborations include colleagues like Teemu Hämäläinen and Jari Vanne, focusing on bridging software and hardware design methodologies. His research also extends to educational aspects, such as real-world product development in system design courses. Lahti’s work is peer-reviewed and published in prestigious venues like IEEE Transactions and conferences like DDECS and ISCAS. His research unit is the Unit of Computing Sciences at Tampere University.

• Computer Science
• Data Visualization
• Scientific Visualization
• +3 more

Robert S. Laramee is a Professor at the University of Nottingham (previously at Swansea University), specializing in visualization research. His work focuses on data visualization, scientific visualization, and computational fluid dynamics. He has authored over 170 publications in top journals like IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, and IEEE Computer Graphics and Applications. Research Interests: His research spans information visualization, flow visualization, visual literacy, and educational aspects of visualization. He emphasizes practical applications in fields like healthcare, digital humanities, and computational science. Recent Trends: Recent work includes studies on treemap literacy, educational frameworks for visualization, and interactive systems for clinical data. He has also contributed to visualization resources and surveys, aiming to bridge academic and industry needs. Grants & Collaborations: Collaborations include projects on visualization for smart cities, protein-lipid interactions, and quantum chromodynamics data analysis. No specific grant details are provided in the text. Labs & Teams: Affiliated with visualization research groups at Nottingham and Swansea, though specific lab names are not mentioned.

Rosemary FisherView profile

Senior Lecturer

• Entrepreneurship Education
• Higher Education Pedagogy
• Flipped Learning
• +7 more

Rosemary Fisher is a Senior Lecturer in Entrepreneurship and Innovation at Swinburne University of Technology's School of Business, Law and Entrepreneurship. She holds a PhD from Swinburne and multiple advanced degrees in business and arts disciplines. Her career spans academic leadership roles including Head of Commerce at Box Hill Institute and Course Director for the Master of Entrepreneurship at Swinburne. Fisher combines teaching with impactful research in entrepreneurship education, higher education pedagogy, and innovative teaching strategies like flipped learning. Education: PhD, Swinburne University of Technology MBA, University of Melbourne Master of Business (Professional Accounting), Victoria University Bachelor of Arts, Canberra College of Advanced Education Research Interests: Focuses on pedagogical innovations such as flipped learning's impact on student outcomes, entrepreneurial resilience, and strategies to enhance teacher status. Active in curriculum design for entrepreneurship programs and digital education solutions. Current projects explore AI's role in business education and EFL teaching methodologies. Awards: 2017 Faculty Teaching Excellence Award Academy of Management Distinguished Reviewer (2012, 2014) 2011 Outstanding PhD Thesis Award Grants & Projects: Lead researcher on initiatives addressing teacher retention, aged care feedback systems, and migrant business training. Recent grants include "$60K for AI in Entrepreneurial Education" and "$45K for EFL Flipped Learning Research". Professional Engagement: Editorial Board member for Active Learning in Higher Education and Journal of Effective Teaching . Serves on international committees for entrepreneurship education and pedagogical innovation. Active in policy development for social entrepreneurship and educational technology adoption.

• Political Geography
• Human Geography
• Welsh Nationalism
• +10 more

Rhys Jones is a Professor of Human Geography and former Head of Department in the Department of Geography and Earth Sciences at Aberystwyth University. He is a leading scholar in political geography, with a focus on Welsh nationalism, state territoriality, devolution, and behavioral insights in public policy. He is a Fellow of the Learned Society of Wales (FLSW) and the Academy of Social Sciences (FAcSS), and serves on the Board of Natural Resources Wales, demonstrating significant academic and public impact. His research interests center on the interplay between identity, place, and governance. Key themes include the spatial dimensions of Welsh nationalism, the peopled character of the state, devolution in the UK, and the ethical and practical applications of behavioral science in policymaking. His work often engages with issues of spatial justice, territorial cohesion, and regional movements within the European Union. The recent publications and projects reflect a strong trend toward interdisciplinary, policy-relevant research. His work spans books, peer-reviewed articles, commissioned reports, and digital media outputs, with a focus on heritage tourism, linguistic vitality, and cross-border dynamics between Wales and Ireland. He frequently collaborates with researchers across institutions and nations, particularly through EU-funded programs like Horizon 2020 and INTERREG. His scientific recognitions include: Fellow of the Learned Society of Wales (FLSW) Fellow of the Academy of Social Sciences (FAcSS) Gwobr Adnodd Cyfrwng Cymraeg (Welsh Language Resource Award, 2020) Rhys Jones has secured substantial research funding from the ESRC, AHRC, Leverhulme Trust, Horizon 2020, INTERREG, and the Welsh Government. He leads or contributes to multiple active projects, including those on territorial cohesion in the EU, regional movements, and heritage tourism. He also plays a key role in knowledge exchange, public engagement, and media outreach, particularly on issues related to Welsh identity, language, and governance. He is actively involved in organizing exhibitions, film launches, and public talks, often in collaboration with cultural and academic partners in Wales and Ireland. He is involved in several research networks and teams, including the WISERD Civil Society project and the Centre for Welsh Politics and Society. His work contributes to UN Sustainable Development Goals, particularly those related to reduced inequalities, sustainable cities, and strong institutions.

Krzysztof WęcelView profile

Professor

• Semantic Technologies
• Linked Open Data
• Big Data Analytics
• +5 more

Dr hab. Krzysztof Węcel serves as Professor and current Head of the Department of Economic Informatics at Poznan University of Economics and Business (UEP), appointed on October 4, 2024. His primary affiliation spans over 25 years with UEP's Department of Economic Informatics, which maintains one of Poland's longest-running academic websites since 1998. He holds dual recognition through habilitation from University of Potsdam (2020) and professorship conferred by UEP (June 24, 2020). His academic milestones: Habilitation degree in Economic Informatics, University of Potsdam (2020) Professor title, Poznan University of Economics and Business (2020) Węcel's research centers on Semantic Technologies and data quality assessment across multilingual Wikipedia, with emphasis on company information verification, citation analysis, and open data applications. His work bridges Big Data analytics with practical business solutions, particularly in maritime logistics where he pioneered evolutionary algorithm-based AIS data processing. Current investigations focus on generative AI's dual role in creating and combating disinformation, including ChatGPT's impact on academic writing and fake news propagation. Recent publications (2022-2025) reveal three dominant trends: First, systematic analysis of Wikipedia's reliability across languages during crises like the pandemic and Ukraine war. Second, development of AI-driven fact-checking frameworks (e.g., OpenFact project's CLEF 2023 victory). Third, exploration of generative AI's societal impact ranging from student creativity to disinformation campaigns. Scientific awards received: Best Paper Award at ICIST 2017 Conference Award for most innovative article at NATCON 2018 conference Microsoft Azure for Research Award (2016) As academic advisor, he leads the 'Semantic Technologies' diploma seminar attracting high-achieving students, with participants winning the 29th UEP Foundation Competition (2025) and Eurostat's Web Intelligence Challenge (2024). His grant portfolio includes the 'Maritime Big Brother' project (2017) for ship voyage prediction using AIS data and Microsoft Azure funding for Wikipedia quality enhancement. Ongoing initiatives include OpenFact (fake news detection) and GOBLIN projects. He actively collaborates with SKN Data Science student circle (evidenced by 2024/2025 inaugural meeting) and international consortia like CLEF and QOD workshops. Departmental leadership involves managing the OpenFact research team that achieved top results in CheckThat! Lab competitions, alongside maritime data analytics groups applying evolutionary algorithms to shipping networks.

Christian WolffView profile

Professor

• Multimedia Information Systems
• Text Mining
• Digital Humanities
• +6 more

Christian Wolff is a University Professor and Chair of Media Informatics at the Institute for Information and Media, Language and Culture at the University of Regensburg. Since April 2022, he has served as the founding Dean of the Faculty of Computer Science and Data Science, while maintaining secondary membership in the Faculty of Languages, Literature and Cultural Studies (SLK). His academic career spans over three decades with significant contributions to multiple disciplines at the intersection of computer science and humanities. Wolff's research interests center around multimedia and multimodal information systems, electronic publishing, and text technology, particularly text mining. His work bridges computer science with digital humanities, legal informatics, and social media analysis. Recent publications demonstrate a strong focus on large language models, sentiment analysis applications across various domains, legal technology innovations, and virtual reality research for cognitive studies. His interdisciplinary approach has produced significant contributions in both technical and humanities domains. His recent publication trends reveal a strategic shift toward applied AI research, particularly in legal technology (LegalTech), social media analysis, and sentiment analysis using large language models. The publications show increasing collaboration across disciplines, connecting computer science with law, political science, literature, and psychology. His work on the digital basis document for legal proceedings represents a major practical application of his research in the German justice system. East Bavarian Cultural Prize Doctoral Award of the University of Regensburg Wolff has led numerous interdisciplinary research projects connecting computer science with humanities and legal studies. His leadership extends to institutional roles including Dean of Research, Vice Dean, and Dean of Faculty positions. He has been instrumental in establishing the new Faculty of Computer Science and Data Science at the University of Regensburg, demonstrating significant impact on institutional development and research infrastructure. Wolff directs research initiatives focused on text technology, digital humanities, and legal informatics. His work with the INDIGO - Internet and Digitization Eastern Bavaria initiative and the TRIO project demonstrates commitment to regional technology transfer and innovation. The interdisciplinary nature of his research groups connects computer scientists with legal scholars, linguists, and social scientists to address complex digital transformation challenges.

Payam BarnaghiView profile

Professor

• Machine Learning
• Neurosciences
• Healthcare Technology
• +6 more

Payam Barnaghi is a Professor and Chair in Machine Intelligence Applied to Medicine at Imperial College London's Department of Brain Sciences, part of the Faculty of Medicine. He holds multiple leadership roles, including Co-Director of the School of Convergence Science in Human and Artificial Intelligence and Deputy Head of Neurology. His research focuses on AI-driven healthcare solutions, particularly in neurosciences and dementia care. He leads the Translational Machine Intelligence group at the UK Dementia Research Institute (UK DRI) and is a Visiting Professor at University College London's Institute of Child Health. His affiliations include the NVIDIA Deep Learning Institute, the British Heart Foundation Centre for Research Excellence, and the UK DRI Care and Research Technology Centre. He has received awards such as the Wellcome Trust Mental Health Ideathon Award (2023) and the IEEE Outstanding Leadership Award (2017). His work emphasizes remote patient monitoring, digital biomarkers, and explainable AI for early health event detection. Key projects include the TIHM (Technology Integrated Health Management) initiative for dementia care, leveraging wearable sensors and machine learning. He contributes to interdisciplinary efforts in smart care ethics and has published extensively on topics like neural network applications, healthcare data analysis, and clinical decision support systems.

• Technology-enhanced teaching
• Employability & Professionalism
• Technology-enhanced health education
• +3 more

Debbi Marais is a Professor (Teaching Focussed) at the University of Warwick within the Warwick Medical School and Health Sciences department. She serves as the Director of Postgraduate Education and is a Principal Fellow of the UK Higher Education Academy , demonstrating strategic leadership in enhancing teaching quality, curriculum development, and student mentorship. With over 25 years of experience in higher education, she has held academic positions at Stellenbosch University , University of Aberdeen , and University of Warwick . Her expertise spans teaching, assessment, program coordination, quality assurance, and reflective practice. Marais’ research interests include pedagogical innovation , with a focus on technology-enhanced teaching and employability & professionalism , as well as public health nutrition covering infant and young child feeding , nutrition transition , and global health . She employs mixed methods in her research and has contributed to understanding exclusive breastfeeding barriers , maternal obesity trends in Africa, and Arabic weight-loss app design . Her work often intersects with technology-enhanced health education and interdisciplinary collaboration . Her recent publications highlight qualitative studies on food-based dietary guidelines in Kenya and South Africa, mobile health interventions for weight loss, and educational innovations in medical and nutrition training. These works reflect her commitment to global health equity and digital pedagogy , with recurring themes in African and Southeast Asian health contexts. She emphasizes participatory research methods and policy translation in maternal and child nutrition. Scientific Awards Principal Fellow of the UK Higher Education Academy Marais has supervised postgraduate research students (PhD and Masters) and contributed to curriculum reform through collaborative international projects. She has secured external funding for research and demonstrated interdisciplinary expertise in nutrition , public health , and health education .

• Environmental Policy
• Plant Biosecurity
• Ecosystem Services
• +4 more

Clive Potter is Professor of Environmental Policy at Imperial College London's Centre for Environmental Policy within the Faculty of Natural Sciences. His interdisciplinary work bridges environmental science and social science to inform government policy, with specific focus on plant biosecurity, ecosystem services, and stakeholder engagement in rural and urban contexts. Professor Potter's research centers on agricultural restructuring and sustainable land use governance in industrialized nations, examining 25+ years of policy evolution and farmer responses to market, policy, and socio-cultural shifts. He investigates policy learning mechanisms and public involvement in environmental risk management, particularly regarding tree disease epidemics like ash dieback, analyzing how historical knowledge and local observations integrate into biosecurity frameworks. His approach combines natural science collaborations with social survey methodologies across UK and EU contexts. Recent publications (2021-2024) reveal intensifying focus on urban forestry dynamics during crises (including COVID-19), socio-ecological art-science collaborations, and policy innovations for landscape-scale conservation. Key trends include systematic analysis of tree pest impacts in cities, integration of public health co-benefits in climate policy, and novel stakeholder engagement methods using digital tools. His work increasingly addresses equity dimensions in environmental governance and the role of diverse knowledge systems in managing complex socio-ecological risks.

• Contrastive and Intercultural Pragmatics
• Discourse Markers
• Second Language Acquisition (L2)
• +9 more

Kathrin Siebold is a Professor at the Institute for German Linguistics of Philipps-Universität Marburg , specializing in German as a Foreign and Second Language (DaF/DaZ) . She leads the German as a Foreign and Second Language Working Group and oversees multiple MA and teacher training programs , including international double degree collaborations with institutions in China, France, and Spain. Contact: +49 6421 28-24892 | Email | Room B213, Marburg Educational Background includes a Dr. phil. (2007) from Universidad de Sevilla for her dissertation on speech acts and verbal politeness, with distinctions like Doctorado Europeo and Premio extraordinario del Doctorado . She earned her Magister Artium in German and Romance Studies from Philipps-Universität Marburg (1998) and Ludwig Maximilians-Universität München (1993–1997). Research Interests center on contrastive and intercultural pragmatics , focusing on speech acts, politeness, discourse markers, and interactional competences in L2. She explores empirical classroom research , video-based observation (VEO), and pedagogical innovations like Virtual Exchange and Tandem Learning . Her projects address multilingualism , language policy , and professional development of DaF/DaZ educators. Scientific Contributions include co-founding the open-access journal ZIAF (Zeitschrift für Interaktionsforschung in DaFZ) and organizing conferences such as the International Conference on German as a Foreign Language and the Marburger FaDaF-Thementage . Her recent 15 publications (2025–2023) analyze classroom interaction, discourse markers, and international educational collaborations. Awards: Premio extraordinario del Doctorado (2007) | Doctorado Europeo (2007) Professional Leadership involves coordinating research projects like DaF im iberoamerikanischen Kontext (DAAD-funded 2025–2027), Stark nach Corona in DaFZ (2023–2024), and Videobasierte Unterrichtsbeobachtung mit VEO (2023–2025). She collaborates with universities in Chile, Argentina, Spain, and Poland through Germanistische Institutspartnerschaften .

Thea WilliamsonView profile

Assistant Professor

• Literacy Education
• Critical Race Theory
• Writing Pedagogy
• +12 more

Thea Williamson is an Assistant Professor in the Department of English at Old Dominion University’s College of Arts & Letters. A bilingual literacy educator and former teacher of multilingual learners in Miami, New York City, Austin, and Maryland’s Eastern Shore, she focuses on writing as a tool for thinking, creative expression, and social change. Her teaching emphasizes critical theories like decolonization and critical race theory to explore literacy pedagogy and adolescent learning. Education Ph.D. in Curriculum & Instruction, University of Texas at Austin (2018) M.Ed. in Curriculum & Instruction, University of Texas at Austin (2012) B.A. in Spanish & Comparative Literature, Haverford College (2004) Research Interests Williamson investigates the sociopolitical dimensions of English Language Arts in culturally and linguistically diverse secondary schools, combining critical race theory, translanguaging, and discourse analysis. Her work highlights linguistic justice, anti-oppressive writing pedagogies, and the role of literacy in resolving alienation in educational spaces. Publication Trends Her recent publications explore critical race curriculum analysis, translanguaging in ELA classrooms, and adolescent writing identity. Key themes include racial equity in literature teaching, multimodal literacy engagement, and the role of self-reflection in empowering multilingual students.