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Christos TapeinosView profile

Lecturer

• Pharmaceutical Nanotechnology
• Drug Delivery Systems
• Brain Diseases (Glioblastoma, Neuroinflammation)
• +5 more

Christos Tapeinos is a Lecturer in Pharmaceutical Sciences at the University of Manchester, specializing in pharmaceutical nanotechnology for treating brain diseases (e.g., glioblastoma, neuroinflammation) and pancreatic cancer. His research focuses on developing smart nanomedicines, advanced in vitro models (e.g., fluidic systems mimicking brain environments), and stimuli-responsive nanomaterials to overcome biological barriers like the blood-brain barrier. He leads the development of skin-mimicking models for subcutaneous drug delivery as a Co-Investigator in the HALo program. Education: Docent in Pharmaceutical Nanotechnology (2022) PhD in Materials Science (2013) MSc in Materials Science (2010) BSc in Materials Science (2006) Research Interests: Drug delivery systems, nanoparticle engineering, in vitro disease models, biomimetic materials, and translational nanomedicine. He integrates nanotechnology with precision medicine to address complex diseases. Recent Articles Trends: Focus on nanoparticle-cell interactions, phototherapy systems, graphene-cerium oxide hydrogels, and targeted theranostics. Highlights include ROS-scavenging systems and multi-stage nanovectors for CNS pathologies. Awards: Marie Skłodowska-Curie Actions Fellowship. Grants/Projects: Supported by EPSRC, The Royal Society, and Translation Manchester. Active in the Hub for Long-Acting Technologies (2024–2030). Labs/Teams: Leads research groups developing fluidic BBB models, skin-mimicking drug diffusion systems, and nanomaterial-based therapies.

• Energy Conversion
• Nanotechnology
• Materials Science
• +3 more

Friedrich Prinz is the Leonardo Professor in the School of Engineering at Stanford University, holding dual professorships in Mechanical Engineering and Materials Science and Engineering. He is also a Senior Fellow at the Precourt Institute for Energy and an affiliate of the Stanford Woods Institute for the Environment. Additionally, he directs the Nanoscale Prototyping Laboratory and co-directs the NPL-Affiliate Program. He earned a PhD in Physics from the University of Vienna (1975) and joined Stanford in 1994 after faculty roles at Carnegie Mellon University. His research focuses on nanoscale energy conversion and storage, employing advanced fabrication techniques like atomic layer deposition (ALD) to develop prototype fuel cells and capacitors. His lab investigates material structures using scanning tunneling microscopy, impedance spectroscopy, and atomic-scale modeling. Prinz has authored over 360 publications and advised numerous students. Notable awards include AAAS Fellowship (2007) and the AM Strickland Prize (2005). His work bridges solid-state physics, materials engineering, and renewable energy technologies. He teaches courses in manufacturing processes, quantum field theory applications, and advanced material science. Current roles include supervising doctoral and postdoctoral researchers in energy-related nanotechnologies.

Bruna Damiana HeinsfeldView profile

Assistant Professor

• Critical Perspectives on Educational Technology
• Technology Discourse Analysis
• Philosophy and Sociology of Technology
• +3 more

Bruna Damiana Heinsfeld serves as Assistant Professor of Learning Technologies within the Department of Curriculum & Instruction at the University of Minnesota's College of Education and Human Development. Her research critically examines the intersections of technology, society, and education through the lens of Critical Studies of Education and Technology (CSET), with emphasis on power dynamics and social justice implications. Her academic credentials include: Ph.D. in Interdisciplinary Learning and Teaching (Learning Design and Technologies concentration) from UTSA M.A. in Education (Digital Languages, Media and Education concentration) from PUC-Rio, Brazil Multiple Postgraduate Certificates from Brazilian institutions: Media Discourse Analysis, Ontology and Epistemology, Philosophy/Sociology/Social Sciences, and Distance Learning Management B.A. in English Language and Literature from UERJ, Brazil Dr. Heinsfeld's research program centers on critical discourse analysis of educational technology narratives across corporate, policy, and educational contexts. She investigates how technological discourses are constructed and operationalized, particularly regarding digital equity, participatory exclusion, and the sociopolitical dimensions of technology adoption. Her methodological approach combines Critical Discourse Analysis (CDA) with critical pedagogy to unpack ideological, cultural, and economic factors shaping educational technology implementations. She examines epistemological foundations of technological beliefs and challenges neoliberal narratives in EdTech through rigorous deconstruction of policy documents and marketing materials. Analysis of her recent publications (2019-2023) reveals consistent focus on corporate influence in educational technology, with particular attention to Google and Microsoft's marketing narratives, pandemic-era remote learning disparities, and Latinx student experiences. Her work demonstrates how technological solutions often reinforce existing inequalities through participatory exclusion mechanisms, while her policy analyses expose contradictions between equity rhetoric and actual implementation. Recurring methodological threads include discourse analysis of educational landscape reports and critical examination of public policy frameworks. No scientific awards were documented in the provided materials. As an advisor, Dr. Heinsfeld cultivates a supportive environment grounded in social justice principles, emphasizing critical consciousness development and student autonomy. Her advising philosophy centers on accessible feedback, interdisciplinary exploration, and preparation for meaningful societal engagement. She teaches foundational courses including CI 4311W Technology and Ethics in Society (examining algorithmic bias, privacy concerns, and AI ethics) and CI 8147 Critical Discourse Analysis in Educational Research (focusing on language-power dynamics in educational contexts). While specific research laboratories aren't detailed, her collaborative work spans international contexts with Brazilian institutions and U.S. colleagues, particularly evident in joint publications with researchers like V. Marone and M. Pischetola. Her research trajectory indicates ongoing critical engagement with emerging technologies like AI in education policy, as evidenced by upcoming 2025 conference presentations.

Karina GibertView profile

Professor

• Data Science
• Artificial Intelligence
• Ethics in AI
• +7 more

Karina Gibert is a Full Professor at Universitat Politècnica de Catalunya (UPC), specifically at the Faculty of Computer Science of Barcelona (FIB) in the Department of Statistics and Operations Research. With a permanent teaching position since 1990, she contributes to research and education with a focus on Data Science, Artificial Intelligence, Explainable AI, and Ethics in AI. Full Professor, UPC (since 1990) PhD in Informatics Engineering Postgraduate in Higher Education Teaching Director and co-founder of IDEAI research center Dean of the Official Professional College on Informatics Engineering of Catalonia Active in bridging the gender gap in STEAM through multiple initiatives Her research focuses on extracting strategic knowledge from data and intelligent systems with ethical and explainable perspectives. She has led various projects including Diet4You for personalized diets, INSESS-COVID19 for social vulnerability analysis, Top Rosies Talent for female AI development, and ciutadanIA for AI culture promotion. Her work spans health, environment, sustainability, tourism, and social technology applications. As an editor of Environmental Modeling and Software journal and active academic, she contributes to international conferences, working groups, and research collaborations. Her service includes membership on various ethics and AI strategy committees and advisory boards. Women Tech Award 2023 National Informatics Engineering Award in Digital Dissemination 2022 Ada Byron Award 2022 Honorific Mention of Creu Casas award 2021 donaTIC 2018 Award Finalist at AMETIC Awards 2021 Finalist of European Social Services Awards 2021

Xiaowen ZhangView profile

Professor

• Cryptography
• Information Security
• Cybersecurity
• +5 more

Xiaowen Zhang is a Professor of Computer Science at the College of Staten Island (CSI), City University of New York (CUNY), and a Doctoral Faculty Member at the CUNY Graduate Center. His academic work bridges theoretical and applied research in cybersecurity, information systems, and network technologies. Dr. Zhang holds a Ph.D. in Computer Science from the CUNY Graduate Center (2007) and a Ph.D. in Electrical Engineering from Northern Jiaotong University (1999), along with an M.A. from CUNY Queens College, an M.S. from Northern Jiaotong University, and a B.S. from Shanxi University. His research focuses on Cryptography, Information Security, Cybersecurity, Secure Biometrics, RFID Security & Privacy, Information Retrieval, and Wireless Sensor Networks . He explores both foundational cryptographic methods—such as secret sharing schemes and hash functions—and their practical implementations in secure systems, including RFID authentication protocols and data visualization platforms for sensor networks. The analysis of his recent publications reveals a consistent focus on security mechanisms in distributed and wireless environments . His work frequently combines cryptographic theory with system-level implementations, particularly in RFID and sensor networks. There is a strong trend toward privacy-preserving protocols, efficient data retrieval, and secure information sharing , often leveraging mathematical structures like Latin squares and Bloom filters. Dr. Zhang has been actively involved in mentoring students, as evidenced by numerous co-authored publications with graduate and undergraduate researchers. His contributions span journals such as Security and Communication Networks , Journal of Applied Security Research , and International Journal of Security and Networks , as well as major conferences including IEEE LISAT, ACM CODASPY, and IEEE Sarnoff Symposium.

Sanjeev BaskiyarView profile

Professor

• Scheduling and Cloud Computing
• Computer Architecture
• Real-time and Embedded Computing
• +11 more

Sanjeev Baskiyar is a Professor in the Department of Computer Science and Software Engineering at Auburn University's College of Engineering. He has been actively involved in research, teaching, and academic leadership, with a strong focus on computer systems, real-time and embedded computing, scheduling, cloud and fog computing, and energy-aware architectures. Education: Ph.D., Electrical and Computer Engineering, University of Minnesota M.S., Electrical and Computer Engineering, University of Minnesota B.S., Electronics and Communications, Indian Institute of Science, Bangalore B.S., Physics (with honors), and distinction in Mathematics Dr. Baskiyar’s research interests span scheduling, real-time and embedded systems, computer architecture, fog/cloud computing, thermal/energy-aware computing, and STEM education. His recent work explores machine learning applications in scheduling and quantum computing for fake news detection. He has supervised over 25 graduate students, many of whom now hold academic and industry positions. His recent publications emphasize fog computing simulation, service placement, quantum-inspired fake news detection, and adaptive scheduling using machine learning. These works reflect a trend towards intelligent, scalable, and energy-efficient computing systems, particularly in distributed and edge environments. Scientific Awards and Honors: Walker Teaching Excellence Award, Auburn University, 2020 Summer Faculty Fellow, Air Force Research Labs, 2020 Nominated Best Teaching Assistant, University of Minnesota, 1992 Multiples Merit and State-merit Scholarships Honors in Physics and Distinction in Mathematics Dr. Baskiyar has successfully advised numerous MS and PhD students and secured over $2 million in research funding as Principal Investigator from the National Science Foundation, DARPA, NASA, and industry partners like Wind River Systems and Mentor Graphics. His grants focus on parallel computing education, real-time micro-architectures, and embedded systems. He has also served on editorial boards, program committees, and as a reviewer for NSF and IEEE journals. He has held leadership roles including Senator in the University Faculty Senate and Chair of the E-day Committee. Labs and Research Groups: While not explicitly named, Dr. Baskiyar leads a research group focused on computer systems, scheduling, and embedded computing, as evidenced by his long list of graduate student supervision and funded projects in fog, cloud, and real-time systems.

• Consumer Behavior
• Consumer Culture Theory
• Services Marketing
• +3 more

Assoc Prof Siok Kuan Tambyah is an Associate Professor at the National University of Singapore (NUS) Business School and a Fellow at The College of Alice & Peter Tan, NUS. She holds a PhD in Business from the University of Wisconsin-Madison. Her research focuses on consumer behavior, consumer culture theory, services marketing, and happiness/quality-of-life studies. She has authored/co-authored five books and numerous articles in leading journals such as the Journal of Consumer Research and Journal of Service Research . Her teaching spans undergraduate and graduate levels, including courses on Principles of Marketing, Consumer Behavior, and The Pursuit of Happiness. She has supervised over 60 undergraduate research projects and advised two PhD students. Her pedagogical research emphasizes interdisciplinary learning and residential college environments, highlighted in works like Student Growth and Development in New Higher Education Learning Spaces . A/P Tambyah’s work on Singapore’s quality of life and well-being has positioned her as a leading expert. Key publications include Happiness and Wellbeing in Singapore: Beyond Economic Prosperity (2023) and Drivers of Sustainability and Consumer Well-Being (2022). Her research often bridges consumer behavior with societal issues, such as immigrant inclusion and economic hardship impacts. She is an award-winning educator, recognized for innovative teaching methods in residential colleges and executive education programs. Her contributions to interdisciplinary learning and community engagement are further detailed in her writings on reflective practices and community-based research models.

Dina El-ZanfalyView profile

Assistant Professor

• Computational Design
• Human-Computer Interaction
• Embodied Interaction
• +5 more

Dina El-Zanfaly serves as an Assistant Professor in the School of Design at Carnegie Mellon University (CMU), where she directs the hyperSENSE: Embodied Computations Lab. Her work bridges computational design and human-centered interaction, focusing on how physicality shapes sensory experiences and cognitive processes through intelligent systems. Education: PhD in Design and Computation, Massachusetts Institute of Technology (MIT) Master of Science in Design and Computation, MIT (Fulbright scholar) Her research critically examines computational methods for augmenting sensory perception, with emphasis on embodied sense-making in hybrid environments. She investigates co-creative interactions between humans and intelligent systems, exploring how computational tools empower designers and non-designers to shape products, social spaces, and interconnected technologies. Key questions address mutual learning between humans and machines through improvisation and creative production. Analysis of her 2022-2025 publications reveals dominant themes in mixed reality interfaces, AI-augmented skill acquisition (particularly in crafts and welding), and tangible co-creation with generative AI. Her work consistently integrates physical computing with mindfulness applications and privacy-aware smart environments, demonstrating interdisciplinary reach across education, manufacturing, and therapeutic contexts. Scientific Awards: Fulbright Scholarship As lab director, El-Zanfaly mentors students in computational making and embodied interaction projects. Her research is supported through initiatives like Fab Lab Egypt and collaborations with MIT, where she co-founded the Computational Making Group. She chairs major conferences including Fab15 in Egypt and serves on the DESFORUM program committee, indicating significant leadership in maker education and design research communities. She founded and leads the hyperSENSE Lab at CMU, which investigates computational embodiment through projects like Origami Sensei and Sand-in-the-loop. Previously, she co-established the Computational Making Group at MIT and co-founded Fab Lab Egypt (the first community maker space in North Africa/Arab world), demonstrating sustained commitment to global maker ecosystems and interdisciplinary team building.

Darshana Sreedhar MiniView profile

Assistant Professor

• Feminist Media Studies
• Transnational Cinemas
• South Asian Cinema
• +13 more

Darshana Sreedhar Mini is an Assistant Professor in the Department of Communication Arts at the University of Wisconsin–Madison, where she teaches and conducts research at the intersection of feminist media, gender & sexuality studies, transnational media, migrant media, and South Asian screen cultures. She is also the Director for Media and Gender Justice at the 4W Initiative and holds affiliations with the Center for Southeast Asian Studies, Gender and Women’s Studies, Center for Visual Cultures, Center for South Asia, and the Havens Wright Center for Social Justice. Ph.D., Division of Cinema and Media Studies, University of Southern California M.Phil., Center for Studies in Social Sciences, Calcutta (CSSSC), India Dr. Mini’s research centers on Global Media Cultures, Transnational Cinemas and Migration, South Asian Cinema, and Feminist Media. Her work critically examines soft-porn cinema in India, media publics, censorship, labor in the entertainment sector, and migrant media practices. Her first book, Rated A: Soft-Porn Cinema and Mediations of Desire in India (UC Press, 2024), is a groundbreaking study that combines archival and ethnographic methods to explore the social and cultural impact of Malayalam soft-porn from the 1970s to the 2000s. Her second book project, Telegeographies of Indian Migration , investigates media flows between South Asia and Southeast Asia, focusing on colonial-era labor migration and its lasting effects on identity and community formation. Her recent publications span a diverse range of topics including South Asian pornographies, digital intimacy, anti-caste activism, #MeToo and intersectional feminism, transnational empathy in cinema, and media infrastructures. These works reflect a strong trend toward interdisciplinary, feminist, and decolonial scholarship that challenges dominant canons in film and media studies. Edward Cameron Dimock, Jr. Prize in the Indian Humanities, AIIS, 2024 Early Career Award, NCA, 2024 Race, Ethnicity and Indigeneity Fellow, IRH, UW-Madison, 2024 Byerly Award for Feminist Political Economy, ICA, 2023 First Book Award, The Center for Humanities, UW-Madison, 2022 SCMS Student Writing Award, 2017 Dr. Mini has been actively involved in academic service and leadership, including directing the Media and Gender Justice initiative, co-organizing seminars on migrant media, and contributing to feminist and anti-caste scholarship. Her research has been supported by prestigious grants from the Social Science Research Council (SSRC), American Institute of Indian Studies (AIIS), National Endowment for the Humanities (NEH), and the University of Wisconsin–Madison. She also leads a significant grant-funded project as Principal Investigator for the 'South Asian Film and Media Collection' at UW-Madison. She is a key member of several collaborative research environments, including the Center for Visual Cultures and Performance Studies (CVCPS), the Wisconsin Center for Film and Theatre Research (WCFTR), and the 4W Initiative, where she directs programming on media and gender justice. These affiliations reflect her commitment to interdisciplinary, socially engaged scholarship and the creation of inclusive academic communities.

• Entomology
• Dung Beetle Ecology
• Biodiversity Conservation
• +4 more

Claudia Palestrini is a Professor at the Department of Life Sciences and Systems Biology , University of Turin. Her work focuses on dung beetles , ground beetles , and Alpine biodiversity conservation , with a strong emphasis on geometric morphometrics , zoogeography , and entomology . Her research integrates ecology , systematics , and phylogeny to study insect communities in Alpine and Mediterranean environments. Key themes include habitat use , species differentiation , and sustainable land management . She has contributed to over 400 publications, with recent work analyzing equine feeding devices and insect acoustic signals . Her teaching includes courses on Entomology for Cultural Heritage , Biological Sciences , and Environmental Education . She serves on academic committees like the Department Council and Interdisciplinary Sport Sciences program. Her work bridges entomology and sustainable sports practices , highlighting the importance of biodiversity in human-impacted ecosystems.

Jose Antonio Hinojos MoralesView profile

Researcher

• Pictorial languages and procedures
• Landscape theory
• Nature and culture relationships
• +5 more

Jose Antonio Hinojos Morales is a contemporary artist and researcher affiliated with Miguel Hernández University of Elche, where he completed his PhD in 2020. His academic work focuses on contemporary painting practices within the broader context of visual arts research. His research interests center around pictorial languages and procedures in contemporary contexts , with particular emphasis on the relationship between landscape, nature, and culture. He investigates how landscapes function as cultural constructs and explores innovative methodologies in the representation of the human face through art. His work also engages with decolonial thought and aesthetics, media archaeology, and expanded painting techniques. Hinojos Morales' artistic output demonstrates significant trends in contemporary Spanish art, particularly in the exploration of spiritual, philosophical, and scientific concepts through visual media. His work often challenges conventional perceptions and hegemonic epistemological positions, creating dialogues between traditional and contemporary artistic approaches. Second place, VIII International Painting Competition 'Miradas 2018', Chicago (USA), 2018 Second Prize, XIX Pastor Calpena Painting Prize, Aspe (Alicante), 2015 First Prize, XLVI National Painting Contest Vila de Sant Joan d'Alacant, 2013 First Prize, III National Painting Competition No to Fear, La Nucía (Alicante), 2013 Third Prize, XVII National Painting Competition City of Antequera, Antequera (Málaga), 2013 As an educator and researcher, Hinojos Morales has coordinated the Altea Artistic Residency program, directing multiple landscape-focused scholarship-residencies that support emerging artists. His work bridges academic research with professional artistic practice, contributing to both scholarly discourse and the contemporary art scene in Spain.

Cleotilde GonzalezView profile

Research Professor

• Decision Science
• Cognitive Psychology
• Human-Computer Interaction
• +5 more

Cleotilde (Coty) Gonzalez is a Research Professor of Decision Sciences at Carnegie Mellon University, with primary affiliation in the Department of Social and Decision Sciences (SDS). She serves as the Founding Director of the Dynamic Decision Making Laboratory (DDMLab) and Research Co-Director of the NSF National Institute for AI for Societal Decision Making (AI-SDM). Her extensive academic affiliations include the Security and Privacy Institute (CyLab), the Societal Computing program in the Software and Societal Systems Department (S3D), the Human-Computer Interaction Institute (HCII) in the School of Computer Science, and the Center for Behavioral Decision Research (CBDR) and Center for Neural Basis of Cognition (CNBC). Dr. Gonzalez holds a Ph.D. in Management Information Systems and has developed Instance-Based Learning Theory (IBLT), a significant contribution to cognitive science that explains how people make decisions based on past experiences. Her research spans experimental studies and computational modeling of cognitive processes in dynamic decision environments, with applications in cybersecurity, human-machine teaming, and societal decision making. Her recent publications reveal a strong focus on human-AI collaboration, collective intelligence, cybersecurity, and cognitive modeling. The research trends show increasing integration of AI systems with human decision processes, particularly examining how humans and AI can complement each other in complex decision environments. Her work increasingly addresses cybersecurity challenges through behavioral science perspectives, exploring how cognitive models can improve defense mechanisms against social engineering attacks. Lifetime Fellow of the Cognitive Science Society Lifetime Fellow of the Human Factors and Ergonomics Society Member of the Governing Board of the Cognitive Science Society Member at Large of the Policy Council of the System Dynamics Society Committee member of the National Academies Division Committee for the Behavioral and Social Sciences and Education Dr. Gonzalez has mentored over 50 post-doctoral fellows and doctoral students, with many going on to successful careers in academia, government, and industry. Her research has been supported by major collaborative efforts including Collaborative Research Alliances (CRA) and Multi-University Research Initiative grants from the Army Research Laboratories (ARL) and Army Research Office (ARO), as well as projects with the Defense Advanced Research Projects Agency (DARPA). She directs the Dynamic Decision Making Laboratory, which conducts research involving laboratory experiments and cognitive computational models to derive theoretical conclusions about dynamic decision making and develop applications for societal problems.

Michael RichterView profile

Researcher

• Climate Change Adaptation
• Blue-Green Infrastructure
• Sponge City Concepts
• +4 more

Dr. Michael Richter serves as a Researcher at HafenCity University Hamburg within the Department of Environmentally Sound Urban and Infrastructure Planning, Faculty of Urban Planning. Since 2014, he has been actively engaged in climate adaptation research, building upon his earlier work with the 'plan B:altic' research group (2009-2014) focused on Baltic coastal urban regions. His professional trajectory combines academic research with practical implementation of nature-based urban solutions. Dr. Richter holds a degree in Geoecology from the Technical University Bergakademie Freiberg (2003-2008). His educational background laid the foundation for his interdisciplinary approach to urban climate challenges, integrating ecological principles with urban planning practices. This cross-disciplinary perspective informs his current research on sustainable urban infrastructure. His research centers on developing climate-resilient urban environments through innovative nature-based solutions. Dr. Richter specializes in sponge city concepts and blue-green infrastructure , particularly examining how building greening systems and urban vegetation can mitigate heat islands, manage stormwater, and enhance biodiversity. His work bridges theoretical research with practical implementation through direct collaboration with Hamburg's urban planning authorities and international research networks. He has made significant contributions to understanding the hydrological performance of green infrastructure through long-term monitoring of real-world implementations. Dr. Richter's publication record demonstrates a consistent focus on empirical research of climate adaptation solutions. His recent work emphasizes performance evaluation of blue-green infrastructure in urban settings, particularly examining street trees and green roofs as integrated components of urban water management systems. This research provides critical data on long-term functionality, helping to refine implementation strategies and inform policy decisions. Editorial Board Member, Journal Water (MDPI) for Urban Water Management section Member, German Green Roof Association (Bundesverband GebäudeGrün e.V.) Member, German Water Association (DWA) Member, German Association for Geoeecology (Verband für Geoökologie in Deutschland) As an academic supervisor, Dr. Richter has mentored over 20 bachelor's and master's students, focusing on practical urban planning challenges related to climate adaptation. His research is supported through multiple projects including the BlueGreenStreets initiative and Hamburg's Green Roof Strategy development. He maintains strong connections between academic research and professional practice through active participation in professional organizations and direct collaboration with city planners. Dr. Richter's work with the City Science Lab and BIMLab at HCU demonstrates his commitment to interdisciplinary collaboration. His research on rainwater-sensitive urban design directly addresses Hamburg's climate adaptation challenges while contributing to international knowledge on sponge city implementation. Through his involvement in the RES:Z research program (Resource-Efficient City Quarters for the Future), he helps shape sustainable urban development practices that balance ecological, social, and technical considerations.

Emma MercierView profile

Associate Professor

• Computer-Supported Collaborative Learning
• Social Interaction and Learning
• Classroom Technology
• +3 more

Emma Mercier is an Associate Professor and Associate Head & Director of Graduate Programs in the Department of Curriculum & Instruction at the University of Illinois, Urbana-Champaign's College of Education. She also holds a secondary appointment in the Department of Educational Psychology, demonstrating her interdisciplinary approach to educational research. Dr. Mercier's research focuses on the relationship between social interaction and learning, with particular emphasis on collaboration and computer-supported collaborative learning (CSCL) in classroom settings. Her work examines how technology influences group interactions and learning, especially through the use of multi-touch tables in classrooms. She investigates between-group and whole-class interactions, device ecologies, teacher tools, and classroom contexts that shape learning opportunities in technology-enhanced environments. Her research spans K-12 and higher education settings, with significant contributions to engineering education and the design of collaborative learning spaces. Analysis of Dr. Mercier's recent publications reveals a strong focus on orchestration tools that support instructors in facilitating collaborative learning, the role of technology (particularly augmented and virtual reality) in collaborative problem solving, and the design of effective collaborative tasks in engineering education. Her work bridges educational theory with practical classroom applications, often employing design-based implementation research methodologies. A notable trend is her increasing focus on machine learning applications to analyze and support collaborative interactions in real-time classroom settings. Dr. Mercier has been actively involved in mentoring graduate students and teaching courses related to educational research methods, child development and technology, and advanced study of education. Her work has involved significant collaboration with researchers across institutions and disciplines, particularly in the fields of educational technology, learning sciences, and engineering education. Her research has been supported through various projects, including the CSTEPS (Collaborative Support Tools for Engineering Problem Solving) initiative, which has developed and evaluated tools to support collaborative learning in engineering classrooms. This work has involved partnerships with teaching assistants, course assistants, and faculty to implement and refine collaborative learning approaches in undergraduate engineering courses.

Bo XiongView profile

Researcher

• Machine Learning
• Knowledge Graphs
• Graph Neural Networks
• +4 more

Bo Xiong is a researcher at the University of Stuttgart in the Analytic Computing group. His research focuses on machine learning and knowledge graphs , with a particular emphasis on geometric embeddings and hyperbolic neural networks. His research interests include: Knowledge graph embeddings Hyperbolic and pseudo-Riemannian geometry in AI Temporal knowledge graph reasoning Structured multi-label prediction Recent publications highlight his work on geometric relational embeddings, complex query answering, and temporal fact reasoning using advanced manifold-based techniques.