Find Academic Supervisors

Mingyuan Zhang BetancourtView profile

Research Fellow

• Antibiotics and Global Public Health
• Anthropology of Pharmaceuticals
• Medical Anthropology
• +6 more

Dr. Mingyuan Zhang Betancourt is a socio-cultural anthropologist affiliated with the University of Oslo's Institute of Community Medicine and Global Health. Specializing in cross-cultural analysis between China and Africa, her work examines pharmaceutical supply chains and postcolonial development dynamics. PhD in Anthropology, University of Western Ontario (2018) Former Writing Fellow, University of Toronto Scarborough Her research spans multiple disciplines: Pharmaceutical Anthropology : Analyzing antibiotic shortages across India/China production networks China-Africa Relations : Investigating cultural identity formation through historic sugar plantations and Confucius Institute operations Political Ecology : Documenting resource conflicts in Malagasy agrarian systems Recent publications demonstrate: 2024 study on pharmaceutical production history 2023 comparative analysis of China-India trade disputes 2022 critique of cultural standardization in educational programs 2021 pandemic discourse analysis She actively explores: Global antibiotic accessibility Postcolonial development paradigms Transnational identity politics

• Participatory Action Research
• Social Justice
• Sustainability
• +5 more

György Málovics serves as a Professor at the Institute of Ecological Economics within the Faculty of Economics at the University of Szeged, Hungary. His academic foundation includes a Graduate Economist degree (2002), PhD in Economics (2010), and Habilitation in Economics (2015), all from Hungarian institutions. His educational credentials: Graduate Economist, University of Szeged (2002) PhD in Economics, University of Pécs (2010) Habilitation in Economics, University of Szeged (2015) Professor Málovics specializes in participatory action research with emphases on social justice and sustainability transformations . His work centers on collaborative methodologies that empower marginalized communities through practical interventions in urban desegregation, local economic development, and ecological economics. He bridges academic theory with real-world social impact through community-engaged scholarship. His 13 publications from 2015-2020 reveal consistent focus on Hungarian urban contexts, particularly Roma community integration and socio-environmental justice. Key trends include transformative approaches to responsible research and innovation, place-based sustainability solutions, and critical examinations of policy implementation through participatory frameworks that challenge systemic inequalities. As an active grant recipient, Professor Málovics has led major international projects: SASMob (2018-2021): Senior researcher/task leader for sustainable mobility alliance FoTRRIS (2015-2018): Coordinated Hungarian participatory action researchers in EU innovation systems project PERARES (2010-2014): Research task leader for public engagement in science OTKA K-109425 (2013-2017): Senior researcher on capability approach for local development He maintains active roles in the European Society for Ecological Economics (since 2008), Living Knowledge Network (since 2013), and Hungarian Academy of Sciences' Regional Science Committee (since 2008), fostering international research collaborations on sustainability transformations.

Kevin PughView profile

Professor

• Transformative Experience Theory
• Motivation
• Learning Transfer
• +5 more

Kevin Pugh is a Professor in the School of Psychological Sciences at the University of Northern Colorado, affiliated with the College of Education and Behavioral Sciences. Specializing in transformative experience theory, motivation, and cognition, his work bridges educational psychology with real-world learning applications. Ph.D. in Educational Psychology (Learning & Cognition), Michigan State University (2002) B.S. in Psychology, Brigham Young University (1994) Assistant Professor, University of Toledo (post-Ph.D.) Joining UNC in 2006 Dr. Pugh's research investigates how learning transforms students' worldviews through Deweyan aesthetics and motivational frameworks. His transformative experience theory emphasizes real-world application of knowledge, studied across science education, problem-based learning, and culturally relevant pedagogy. Recent publications analyze mineral misconceptions, instructor-student connections, and gender dynamics in geology education. He teaches learning theory, cognition, and motivation courses using transformative, authentic pedagogies. The Calvin Project, which uses comic characters to explore motivation theory, exemplifies his innovative approach. Dr. Pugh has secured National Science Foundation grants and serves on the editorial board of the Journal of Experimental Education. Principal investigator for NSF-funded projects Editorial board member, Journal of Experimental Education School of Psychological Sciences faculty Contact: kevin.pugh@unco.edu | Office: McKee Hall 63 | Phone: 970-351-2989

Mohammed J. ZakiView profile

Professor

• Data Mining
• Machine Learning
• Graph-structured Data Analysis
• +6 more

Mohammed J. Zaki is a Professor and Department Head at the Department of Computer Science , Rensselaer Polytechnic Institute . He co-directs the NSF IUCRC Center for Research Towards Advancing Financial Technologies (CRAFT) and has authored the textbook Data Mining and Machine Learning (2nd Ed, Cambridge University Press, 2020). Research Focus : Novel data mining techniques for graph-structured and textual data with applications in bioinformatics, personal health, and financial analytics. Leadership : Co-chair of BIOKDD workshops, Associate Editor for multiple journals, and Program Co-chair for SIGKDD, SDM, ICDM, and other top conferences. Scientific Awards include: EDBT'24 Test of Time Award NSF CAREER Award DOE Early Career Award HP Innovation Research Award Google Faculty Research Award Fellowships: IEEE, ACM, AAAS, SIAM Recent Publications highlight advancements in: Knowledge Graph Completion with Directed Attention Multi-Sense Embeddings for Language Models Financial Trend Prediction via Graph Neural Networks Health-Guided Recipe Recommendation Systems Triplet Interaction in Molecular Graph Learning Temporal Personal Health Data Analysis

• Collective Intelligence
• Organizational Design
• Future of Work
• +3 more

Thomas W. Malone is the Patrick J. McGovern Professor of Management at the MIT Sloan School of Management. He holds joint appointments as Professor of Information Technology and Professor of Work and Organizational Studies. As founding director of the MIT Center for Collective Intelligence, he leads pioneering research on how people and computers can connect intelligently. Previously, he founded the MIT Center for Coordination Science and co-directed the MIT Initiative on 'Inventing the Organizations of the 21st Century'. His teaching focuses on organizational design, IT, and leadership. His research examines how new organizations leverage information technology, with groundbreaking predictions about electronic business in 1987. Major works include the influential books The Future of Work (2004) and Superminds (2018). Research areas span: Collective Intelligence: Designing systems combining human and machine intelligence Organizational Structure: Decentralization, coordination, and future work models Climate Solutions: Crowdsourcing through Climate CoLab AI Implications: Human-AI collaboration in business strategy His publications demonstrate consistent focus on collective problem-solving, with recent emphasis on AI-workforce integration, remote team intelligence, and computational group metrics. Key research projects include the Collective Intelligence Design Lab, Minglr, Climate CoLab, and Measuring Collective Intelligence. Honors include an honorary doctorate from the University of Zurich . He co-founded four software companies and holds 11 patents in collaboration systems and organizational modeling. He directs the MIT Center for Collective Intelligence, leading interdisciplinary teams on global challenges. Current initiatives explore AI-enhanced prediction markets, collective intelligence genomes, and hybrid human-machine systems for organizational design.

David A. PlaistedView profile

Research Professor

• Mechanical theorem proving
• Term rewriting systems
• Logic programming
• +3 more

David A. Plaisted is a Research Professor in the Department of Computer Science at the University of North Carolina at Chapel Hill. He joined UNC-Chapel Hill as a full professor after serving on the faculty of the Computer Science Department at the University of Illinois at Urbana-Champaign until 1984. His academic career spans several decades with significant contributions to automated reasoning and computational logic. Bachelor's degree in Mathematics from the University of Chicago (1970) Ph.D. in Computer Science from Stanford University (1976) Professor Plaisted's research focuses on mechanical theorem proving, term rewriting systems, logic programming, and algorithms. His work in term-rewriting systems investigates methods of combining them with first-order theorem provers, including techniques for applying efficient permutation group algorithms to equational theorem proving. In mechanical theorem proving, he has developed a sequence of methods including clause linking with semantics and ordered semantic hyper-linking. His research in logic programming includes developing tests to eliminate the occurrence check in Prolog while maintaining semantics. His work spans theoretical foundations to practical applications in program verification and generation. His recent publications demonstrate continued innovation in automated reasoning, particularly in semantic guidance for theorem proving. His work shows a consistent focus on improving the efficiency and effectiveness of automated deduction systems, with recent contributions to SGGS (Semantically-Guided Goal-Sensitive) theorem proving and analysis of the relationship between semantics and unification in proof systems. Professor Plaisted has served on numerous program committees and editorial boards including the Journal of Symbolic Computation, Information Processing Letters, Mathematical Systems Theory, and Fundamenta Informaticae. He is currently on the editorial board of ACM Transactions on Computational Logic and the electronic Journal of Functional and Logic Programming. He has organized significant conferences including serving as co-chair of the Second International Conference on Rewriting Techniques and Applications in 1987. He has spent several sabbaticals at prestigious institutions including SRI in Menlo Park (1982-1983), the Max-Planck Institute and University of Kaiserslautern in Germany (1993-1994), and research visits to groups in Grenoble and Nancy, France (1998).

Chaopeng ShenView profile

Professor

• Hydrology
• Deep Learning
• Physics-Informed Machine Learning
• +9 more

Chaopeng Shen is a Professor in the Department of Civil and Environmental Engineering at Pennsylvania State University. His research bridges hydrology with state-of-the-art deep learning and differentiable modeling techniques, focusing on advancing our understanding of hydrologic cycles and their interactions with ecosystems, energy, and carbon cycles. He leads the Multi-scale Hydrology, Processes and Intelligence group (MHPI) and has developed the Process-based Adaptive Watershed Simulator (PAWS) for large-scale hydrologic modeling. Shen's work emphasizes physics-informed machine learning , where deep learning components are integrated with process-based equations through differentiable modeling. This approach enables training neural networks using big data while respecting physical laws, leading to improved generalizability and robustness. His group has demonstrated advantages of differentiable models in rainfall-runoff prediction, routing, ecosystem modeling, and water quality studies. Notably, his team's deepLDB project addresses landslide prediction using AI and big datasets. Recent publications highlight his contributions to global water modeling (grid-LSTM, differentiable Muskingum-Cunge routing), extreme flood forecasting (probabilistic diffusion models), and hydrologic uncertainty quantification . Shen actively engages in interdisciplinary collaborations through the PRISM Cooperative Institute, which aims to integrate multi-domain data for systemic risk assessment. His group has advised students including Dapeng Feng, Wen-Ping Tsai, Kuai Fang, Xinye Ji, and Tasnuva Mahjabin. Shen's research is supported by the National Science Foundation (NSF), Department of Energy (DoE), USGS, Google.org, and the Gates Foundation. He serves as Editor for the Journal of Geophysical Research - Machine Learning & Computation and Chief Editor for Frontiers in Water: Water & AI. His open-source software tools like PAWS and deepLDB are available through dedicated project websites.

Jason Bennett ThatcherView profile

Professor

• Information Systems
• Cybersecurity
• Strategic Alignment
• +6 more

Dr. Jason Bennett Thatcher is a Professor at Temple University in the Department of Management Information Systems at the Fox School of Business. He holds additional faculty appointments at the Technical University of Munich, Information Technology University-Copenhagen, and Hong Kong Polytechnic University. His research bridges human behavior and information technology, focusing on cybersecurity, strategic alignment, and digital innovation. 20-year track record in top FT50 journals Top 35 active IS researcher by productivity Senior Editor roles at MIS Quarterly , Information Systems Research , and Journal of the AIS Research spans three pathways: strategic IT decisions (firm performance, governance), IT workforce management (job satisfaction, turnover), and post-adoption IT innovation (technostress, IT identity). 2022 publications emphasize digital commerce, social media ethics, and technostress mitigation. Awards include: Clemson's 2008 Undergraduate Teaching Award KPMG Foundation Circle of Compadres Top Associate Editor recognition by Information Systems Research Multiple productivity rankings Teaching spans undergraduate to Ph.D. levels with global mentorship experience. Editorial leadership roles include Senior Editor positions and former editorial board memberships. Productivity metrics highlight 12,000+ Google Scholar citations and consistent publication in FT50 journals since 2002.

• Psychological Safety
• Teaming
• Organizational Learning
• +3 more

Amy C. Edmondson is the Novartis Professor of Leadership and Management at Harvard Business School, holding a chaired position dedicated to human interactions in successful enterprises. She has been consistently ranked among Thinkers50's top management thinkers since 2011, achieving #1 status in 2021 and 2023. Her research focuses on psychological safety, teaming, and organizational learning, with significant contributions to understanding how organizations learn from failure. Key publications include The Fearless Organization (2019) and Right Kind of Wrong (2023), the latter winning the Financial Times and Schroders Best Business Book of the Year award. Her work spans organizational behavior, healthcare management, and innovation science, with articles in top journals like Administrative Science Quarterly and Harvard Business Review . Recent research trends show increasing focus on psychological safety dynamics in constrained environments, cross-boundary teaming, and the science of intelligent failure. Her 15 most recent articles (2021-2025) demonstrate expanding applications from healthcare to general management contexts, with growing emphasis on temporal dimensions of team learning and data-driven decision pitfalls. Major awards include: Thinkers50 #1 Management Thinker (2021, 2023) Thinkers50 Breakthrough Idea Award (2019) Financial Times Best Business Book Award (2023) Accenture Award for California Management Review (2003) Edmondson advises on organizational transformation through numerous Harvard Business School cases, including culture change initiatives at Microsoft, LEGO, and Cleveland Clinic. Her research has secured funding for studies on teaming in pharmaceutical development, smart city projects, and healthcare innovation. Current work examines psychological safety erosion in new hires and cross-boundary team dynamics in complex innovation projects.

• Mathematics Education
• History of Mathematics
• Semiotic Mediation
• +5 more

Michela Maschietto is a Full Professor at the Department of Education and Human Sciences, University of Modena and Reggio Emilia, with a focus on mathematics education methodology and historical mathematical artifacts. She previously held positions at the Mathematics campus and leads the Laboratory of Mathematical Machines. Research Interests: Her work bridges physical and digital tools in mathematics education, emphasizing semiotic mediation, argumentation development, and historical instrument reconstruction for pedagogical purposes. She explores geometric-mechanical artifacts for calculus concepts and investigates connections between spatial/geometrical knowledge. 2025 study on geometry education trends using didactic tetrahedron model 2024 research on physical-digital tool integration for argumentative skill development 2023 projects involving tactile calculus devices and conic section machines Teaching Activities: She designs mandatory laboratory components for primary education students, covering national guidelines, semiotic mediation theory, and historical artifacts like abacuses and programmable robots. Her courses emphasize problem-solving, geometric visualization, and standardized assessment analysis. Laboratory Involvement: As head of the Mathematical Machines Laboratory, she organizes exhibitions and workshops using reconstructed historical instruments for mathematics popularization. This includes collaborations with international researchers on topics like the Pythagorean theorem and conic sections.

Emma ParryView profile

Professor

• Human Resource Management
• Generational Diversity
• Career Studies
• +4 more

Professor Emma Parry is a Professor of Human Resource Management and Group Head of the Changing World of Work at Cranfield School of Management, Cranfield University. She is a recognized expert in Human Resource Management (HRM) and plays a leading role in several global research projects including Cranet, a worldwide network of over 40 business schools conducting comparative HRM research, and 5C, a global research project involving around 30 academic institutions examining cultural and age differences in attitudes towards careers. Professor Parry joined Cranfield University in 2002 as a Research Fellow within the Human Resource Research Centre. She holds a PhD and an MSc in Applied (Occupational) Psychology, both from Cranfield. Her educational background has provided a strong foundation for her research in human behavior at work and HRM practices. Professor Parry's research focuses on the impact of the changing external context on managing people, particularly examining technological advancement, age demographics and generational diversity, and national context. She has also conducted extensive research on human capability within defense contexts. Her scholarly contributions include authoring "Managing People in a Contemporary Context" (Routledge) and editing six other books. She serves as Editor in Chief of the International Journal of Human Resource Management (IJHRM) and Series Editor for "The Changing Context of Managing People" book series (Emerald). Professor Parry's recent publications demonstrate a strong focus on global HRM trends, generational differences at work, the impact of technology on employment, and career development across different national contexts. Her work often takes a comparative approach, examining how HR practices and career trajectories vary across cultural and institutional settings. She has been particularly active in researching the impact of the COVID-19 pandemic on careers and the implications of emerging technologies for the future of work. Fellow of the British Academy of Management (FBAM) Academic Fellow of the Chartered Institute of Personnel and Development (CIPD) Honorary Fellow of the Institute for Employment Studies Visiting Research Fellow at Westminster Business School President of the Executive DBA Council (EDBAC) Elected member of the British Academy of Management (BAM) Council Professor Parry teaches on graduate and executive programs in Human Resource Management, Talent Management, Organizational Behavior, and Research Methods. She has advised numerous PhD students and has secured research funding from various organizations including the Defence Science and Technology Laboratory (Dstl), Home Office, Chartered Institute of Personnel and Development (CIPD), Society for Human Resource Management (SHRM) Foundation, Forces in Mind Trust, and Department for International Development (DFID). Her work bridges the gap between academic research and practical application, making significant contributions to both scholarly knowledge and organizational practice in the field of HRM.

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

Prof. Dr. Mehmet Reşit Tolun is a full-time Professor in the Department of Software Engineering at Çankaya University (Turkey) since 2022. Previously held full-time professor positions at Konya Food and Agriculture University (2020-2022), Aksaray University (2013-2017), and TED University (2011-2013), along with a part-time professorship at Başkent University (2017-2020). Specializes in Artificial Intelligence , Machine Learning , and Data Mining , with a focus on deep learning applications in aerospace, biomedical data analysis, and software process improvement. PhD in Computer Science (University of Kent, 1985) MSc in Computer Science (University of Kent, 1982) BSc in Physics and Computer Science (University of Kent, 1981) Research Interests span deep learning frameworks, hybrid expert systems, software engineering methodologies, and biomedical signal processing. Publications emphasize practical implementations in medical diagnostics, robotics, and agricultural pest detection. Scientific Awards include the IEEE Third Millenium Medal (2000). Supervised over 55 graduate students, including Burak Çetin, Uğur Özotuk, and Mahinur Doğan. Collaborated with researchers from Orta Doğu Teknik Üniversitesi , Çankaya University , and Aksaray University .

• Digital platforms
• Social media
• Public communication
• +6 more

Thomas Poell is Senior Lecturer in the Department of Media Studies at the Faculty of Humanities, University of Amsterdam. His scholarly work sits at the intersection of digital media studies, platform studies, and political communication, with a focus on how digital platforms reshape public communication and cultural production. Poell's research interests primarily center on platformization processes and their societal implications. His influential work examines how digital platforms mediate public communication, with particular attention to protest movements, multilingual communication, and the transformation of cultural industries. He has made significant contributions to understanding the political economy of platforms, platform power dynamics, and the evolving relationship between platforms and public values. His methodological approach combines qualitative analysis of platform architectures with empirical studies of user practices across different cultural and linguistic contexts. Analysis of Poell's recent publications reveals a clear trajectory from studying social media's role in political movements to examining broader platformization processes. His work increasingly focuses on platform power across specialized domains including medical imaging, advertising ecosystems, and news industries. A consistent thread throughout his scholarship is examining how platform architectures shape communication practices and power relations, with growing attention to issues of visibility, governance, and equity in platformized environments. Poell has made significant contributions to the field through his co-authored book The Platform Society (2018), which established foundational concepts for understanding how digital platforms transform various sectors of society. He has also co-edited Global Cultures of Contestation (2017) and The Sage Handbook of Social Media (2018), demonstrating his leadership in synthesizing scholarly knowledge about digital media and platform dynamics. His influential article "Twitter as a multilingual space: The articulation of the Tunisian revolution" exemplifies his approach to studying platform-mediated communication during political upheavals. This work demonstrated how Twitter functioned as a global communication space during the Tunisian revolution, with different language communities articulating distinct accounts of the revolution while remaining interconnected through strategic language use by key activists.

Lisa BeinbornView profile

Professor

• Natural Language Processing (NLP)
• Multilingual Language Models
• Cognitive Plausibility in NLP
• +5 more

Lisa Beinborn is a Professor for Human-Centered Data Science at the University of Göttingen, leading the Human-Centered Data Science group. Her research bridges natural language processing with cognitive science, focusing on multilingual models and interpretability. PhD in Computer Science (2016), Technische Universität Darmstadt MSc in Computational Linguistics (2010), Saarland University & Bolzano, Italy BSc in Computational Linguistics (2008), Saarland University & Barcelona, Spain Her research explores cognitive plausibility in NLP, analyzing how language models process language differently from humans. Key areas include multilingual model interpretability, semantic drift, eye-tracking, and readability prediction. Recent work examines input representation stability in neural models, cross-lingual transfer of complexity, and aligning language models with human cognitive patterns. Her team has presented findings at EMNLP, CoNLL, ACL, and CoLING. VENI Grant for "Interpretability of Transfer in Multilingual Models" Early Career Partnership by Royal Dutch Academy of Science "Most Interesting Paper" Award at BabyLM Challenge "Best Project Award" by Network Institute She has taught courses like Language as Data and Advanced NLP at University of Göttingen, VU Amsterdam, and TU Darmstadt. Her group collaborates with institutions like Gemeente Amsterdam and NT2 on multilingual text simplification and learner correction.

Karmenlara Ely SeidmanView profile

Professor

• Performance and Artistic Research
• Ethics and Theater
• Relational Aesthetics
• +7 more

Karmenlara Ely Seidman is a Professor and Artistic Director in Acting and Performance at the Norwegian Theatre Academy (NTA), Østfold University College, and a part-time Professor II at the School of Music, UiT The Arctic University of Norway. She holds a Ph.D. in Philosophy (2008) and an M.A. in Performance Studies (2001) from NYU's Tisch School of the Arts. Her research explores interdisciplinary intersections of performance, ethics, and cultural memory, with foci including: Relational aesthetics and embodiment in performance Intergenerational art practices and indigenous/diaspora knowledge systems Transatlantic archives and decolonial methodologies Experimental pedagogy and institutional reimagining Street performance and ritual/game structures Her publications emphasize performative archives, actor training, and ethical frameworks, frequently engaging with themes of cultural memory, embodiment, and institutional critique. Recent works demonstrate a strong focus on decolonial praxis and interdisciplinary collaboration. She leads major funded projects including: Sea Matters (2023–2026): Performance research pedagogy laboratory Spectral Collaborations (2019–2022): Performative entanglement in Nordic Transatlantic Slavery archives Infinite Record (2013–2017): Archive memory and performance She mentors PhD students internationally, serves on evaluation committees across Nordic institutions, and has developed innovative study programs bridging artistic practice and scholarly research.