ChanMin Kim is a Professor in the Learning and Performance Systems department at Penn State College of Education. With over 80 publications and 2553 citations, their work focuses on integrating artificial intelligence , robotics , and educational technology into science and computer science education. Research interests: Science writing, AI-human partnerships, robotics in education, equity-focused technology design Key methodologies: Natural Language Processing, learning analytics, scaffolding strategies Recent work explores large language models in education, debugging processes in pre-service teacher training, and automated assessment systems for science explanations. While the provided data doesn't show specific scientific awards or student advisees, their publications in venues like British Journal of Educational Technology and Journal of Science Education and Technology demonstrate significant contributions to learning sciences. Kim collaborates extensively with researchers in AI, educational technology, and equity-focused domains.
Gireeja Ranade is an Assistant Teaching Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. She previously served as a Researcher at Microsoft Research AI in the Adaptive Systems and Interaction Group. Her educational background includes a PhD in Electrical Engineering and Computer Science from UC Berkeley and an undergraduate degree from MIT. Research Focus Prof. Ranade's research spans control theory, information theory, and machine learning, with applications in wireless communication, algorithmic fairness, and misinformation analysis. Her work addresses fundamental challenges in system stabilization under uncertainty, real-time control optimization, and equitable resource allocation. She maintains strong collaborations across disciplines, resulting in publications at premier venues like IEEE Transactions on Automatic Control, PNAS, and The Web Conference. Her recent publications demonstrate a consistent focus on robustness in control systems, fairness in algorithmic decision-making, and analysis of information propagation in online ecosystems. The work frequently combines theoretical rigor with practical implementations in robotics, networking, and social systems. Awards and Recognition 2017 UC Berkeley Electrical Engineering Award for Outstanding Teaching 2020 UC Berkeley Award for Extraordinary Teaching in Extraordinary Times Academic Leadership Prof. Ranade leads a dynamic research group including PhD candidates, master's students, and undergraduates. She has advised over 25 students on projects ranging from neural network controllers to fairness metrics in resource allocation. She founded the CalMentors program, which connects UC Berkeley students with K-12 learners for tutoring support during the COVID-19 pandemic. Educational Innovation She co-designed and teaches UC Berkeley's introductory EECS 16A/B sequence, integrating linear algebra with applications in machine learning and circuit design. She has also developed courses on optimization (EECS127/227A) and data science (Data 102), with publicly available lecture videos demonstrating her teaching methodology.
Federico Miretti is an Assistant Professor at the Polytechnic University of Turin, affiliated with the Department of Energy and the interdepartmental center Cars@PoliTo. His research focuses on hybrid and electric vehicles, with emphasis on energy management strategies, battery state estimation, and sustainable transport solutions. PhD in Energetics from Polytechnic University of Turin Research areas include: Optimization-based Energy Management Strategies for hybrid propulsion systems Simulation and digital twinning of hybrid systems Thermal management for electrified vehicles Techno-economic assessment of mobility solutions Recent publications highlight advancements in battery temperature anomaly detection, wireless power transfer feasibility, and control algorithms for energy efficiency. His work aligns with SDGs 7 (Clean Energy) and 9 (Innovation). Teaching roles include: Fluid Machinery (2019-2025) Energy Management in Hybrid/Electric Vehicles (2021-2025) Projects: PRoSIT (2025): Predictive thermal management demonstrator Consulting contract with MIDAC SpA (2025): Battery Digital Twin development EBOAT project (2025-2026): Technical support for Vulkan
Richard Eberhardt serves as Program Manager for the MIT Game Lab and instructor for MIT Game Lab classes at the Massachusetts Institute of Technology, where he aligns research projects with staff, equipment, and funding while mentoring student game development initiatives. His operational leadership supports the lab's mission to advance game literacy through interdisciplinary collaboration. His academic credentials include: Bachelor of Arts from the College of William & Mary Serious Games MA Certificate from Michigan State University Professional certifications: Certified Scrum Master PMI Agile Certified Practitioner Eberhardt's research investigates historical representation in games, analyzing how mechanics model historical systems and which narratives are amplified or marginalized in gaming communities. His scholarship spans serious games for mental health awareness, educational applications of VR/AR technologies, and inclusive game jam methodologies, consistently addressing public literacies through civic systems and emotional intelligence frameworks. Analysis of his 2013-2023 publications reveals sustained focus on game-based educational tools across STEM and humanities domains. His work pioneers VR simulations for photonics education, examines historical accuracy in commercial games, and develops inclusive frameworks for collaborative design events. This output demonstrates strategic integration of game mechanics with learning objectives while addressing representation gaps in historical gaming. Notable recognition includes an award for elude , the depression awareness game developed in 2010 for patients' support networks. As a mentor, Eberhardt directs student projects like elude and hosts game jams fostering community collaboration. His Agile-certified project management approach facilitates resource allocation across educational initiatives, though specific grant details remain undisclosed in available materials. The MIT Game Lab operates as his primary research ecosystem, connecting students, faculty, and community partners to explore games' transformative potential in education and social contexts through its Civic Systems, Media & Emotional Intelligence pillar.
Jodi Schneider is an Associate Professor at the University of Illinois Urbana-Champaign , with affiliate appointments at the Beckman Institute , Health Care Engineering Systems Center , European Union Center , and Center for Health Informatics . She directs the Information Quality Lab and focuses on the science of science through argumentation and evidence analysis. PhD in Informatics (National University of Ireland, Galway) M.S. in Library and Information Science (UIUC) M.A. in Mathematics (UT-Austin) B.A. in Liberal Arts (St. John's College) Her research examines how scientific controversies persist through citation patterns, the role of knowledge brokers in public policy, and information quality in biomedical contexts. She has developed semantic frameworks for micropublications and knowledge maintenance in digital libraries. Recent publications include citation integrity studies in Scientometrics , retraction indexing in STI Conference , and argumentation mining in Human Language Technologies . Collaborative projects span institutions like Harvard Radcliffe Institute and RWTH Aachen . NSF CAREER Award IMLS Early Career Award Senior Member, Association of Computing Machinery Marie Curie Fellow She advises graduate students in information quality and knowledge representation , with funding from the Alfred P. Sloan Foundation , NIH , and European Commission . Her lab develops tools to combat scientific misinformation and improve public health informatics .
Rachel Pottinger is a Professor in the Department of Computer Science at the University of British Columbia within the Faculty of Science. She has been at UBC since 2004, progressing from Assistant Professor to Associate Professor in 2012 and to full Professor in 2021. She is affiliated with research centers including CAIDA (Centre for Artificial Intelligence Decision-making and Action) and DFP (Designing for People), and is part of ICICS (Institute for Computing, Information and Cognitive Systems). Her research focuses on data management, particularly semantic data integration, metadata management, and making data more accessible and understandable to users. She leads the Data Management and Mining Lab and has supervised numerous doctoral and master's students. Her work addresses three main areas: helping people understand and explore their data, managing data not well supported by databases, and coordinating data across multiple databases. Her recent publications demonstrate strong trends in database usability, data provenance visualization, query recommendation systems, and building information modeling integration. Her work bridges theoretical database concepts with practical human-centered applications, particularly in making complex data systems more accessible to non-expert users. UBC Computer Science Department Faculty Teaching Award 2013 Computer Science Department Teaching Award 2010 CS Department Teaching Award Denice Denton Emerging Leader Award 2007 Pottinger has supervised numerous PhD and Master's students, with research focusing on data provenance, database usability, and data coordination. She has been involved in significant research projects related to data lakes, open data navigation, and query recommendation systems. Her current research explores table annotation and discovery in data lakes, query refinement for aggregation queries, and query prediction based on past user behavior. She is actively involved in the academic community, serving as Secretary-Treasurer for SIGMOD, on the VLDB Journal editorial board, and as a member of the Computing Research Association's Board of Directors. She previously served as General Co-Chair of SIGMOD 2020 and as Associate Head for the Undergraduate Program of the Department of Computer Science from 2018-2020.
Prof. Dr. Wolfgang Nejdl is a Professor at the Institute for Data Science within the Faculty of Electrical Engineering and Computer Science at Leibniz University Hannover. He serves as Executive Director of the L3S Research Centre and Leibniz Forschungszentrum Inclusive Citizenship. Web Science Information Retrieval Artificial Intelligence Deep Learning His recent research focuses on AI applications in medicine , multimodal data fusion , and ethical AI systems . Projects include CAIMed (AI in Causal Medicine) and DAISEC (AI & Cybersecurity). His publications span conferences like AAMAS, WWW, and SIGIR. Notable awards include membership in the National Academy of Science and Engineering (acatech) . Former students hold positions at institutions like Stanford, TU Dresden, and ETH Zürich. Current projects involve climate resilience AI , federated learning for healthcare , and quantum-inspired data science .
Allison McFall is an Assistant Research Professor in the Department of Epidemiology at Johns Hopkins University Bloomberg School of Public Health. Her work focuses on HIV epidemiology among key populations in India, particularly people who inject drugs (PWID) and men who have sex with men (MSM). Primary Division: Infectious Disease Epidemiology Active Since: 2013 Her research emphasizes optimization of HIV prevention, care, and treatment systems. Key methodologies include: Respondent-driven sampling Monitoring and evaluation of service delivery Electronic database design for epidemiological research Recent publications analyze: Antiretroviral therapy outcomes in PWID and MSM HCV treatment adherence support HIV self-testing technologies Geospatial targeting for health services McFall's work spans 59 research outputs with active collaborations across India on viral hepatitis-HIV coinfections and integrated care models.
Mike Climstein serves as a Lecturer in Human Sciences within the Faculty of Health at Southern Cross University (SCU), where he coordinates the Master of Clinical Exercise Physiology program and acts as Deputy Academic Integrity Officer. He concurrently holds an adjunct Associate Professor position in the Physical Activity, Lifestyle, Ageing and Well-being Research Group at the University of Sydney and directs SCU's Aquatic Based Research initiative. His academic credentials include a PhD in Exercise Science & Human Performance from Oregon State University (1990), an MSc in Exercise Science from Utah State University (1986), and a BSc in Biology from Utah State University (1982). Climstein's research spans clinical exercise physiology with emphases on master athletes' health, chronic disease rehabilitation, sports injury surveillance (particularly surfing), cardiac rehabilitation, smart textile monitoring, and osteoporosis. His work integrates technology-driven health solutions with population-specific exercise interventions, notably for aging populations and athletes. Analysis of his recent publications reveals three dominant trends: 1) AI applications in dermatological diagnostics (e.g., melanoma detection systems), 2) physiological adaptations in aging populations through martial arts and aquatic exercise, and 3) epidemiological studies of chronic conditions in master athletes and occupational groups. These reflect his dual focus on technological innovation and practical health interventions. His scientific recognition includes: Fellowship by Sports Medicine Australia (FASMF) Fellowship by American College of Sports Medicine (FACSM) Fellowship by Exercise and Sports Science Australia (FAAESS) Climstein actively supervises 4 PhD and 2 Master's students while co-supervising 6 Doctor of Physiotherapy candidates. His research program is supported by 38 grants totaling over $7.8 million AUD, including studies on aquatic rehabilitation and smart textile monitoring. As Director of Aquatic Based Research, he leads interdisciplinary teams investigating water-based exercise interventions for chronic disease management, with ongoing projects in cardiac rehabilitation and osteoporosis prevention.
Matteo Brunelli is Associate Professor of “Mathematical Methods of Economics and Actuarial and Financial Sciences” at the University of Trento , Department of Industrial Engineering, and Adjunct Professor (docent) at Lappeenranta University of Technology , Finland. He is nationally habilitated as Full Professor in Italy and has held long-term visiting positions at Berkeley, Turku, Auckland, JAIST and Binghamton. Education: Ph.D. (Doctor of Science) in Information Technologies, Åbo Akademi University, Finland, 2011 – graded Eximia cum laude approbatur M.Sc. in Economics, University of Trento, 2007 – grade 110/110 cum laude B.Sc. in Economics, University of Trento, 2005 Research focus: Brunelli’s work sits at the intersection of multi-criteria decision analysis , operations research and computational optimisation . He develops axiomatic foundations and algorithms for pairwise comparison matrices , consistency indices , the best-worst method and fuzzy preference relations , and applies them to energy planning, sustainable inventory, maintenance scheduling, 3-D printer selection, and blockchain governance. His 2023-2025 articles reveal intensified interest in uncertainty modelling (Dempster-Shafer theory), bi-objective optimisation of inventory and maintenance, and group decision protocols that integrate probabilistic or active-learning components, demonstrating both methodological depth and practical relevance. Scientific awards & grants: Academy of Finland Postdoctoral Researcher grant (€254 670, 2014-2017) Claudio Dematté Research Grant (€19 000, 2008) Teacher of the Year Award, Aalto University (2013 – both Spring & Autumn semesters) Bernard Roy Award 2021 for outstanding contribution to Multiple Criteria Decision Aiding (under-40 category) Supervision & funding: While specific doctoral students are not listed, Brunelli currently supervises graduate theses at Trento and has continuously held competitive national grants. His Academy of Finland project “Consistency of valued preference relations for decision analytics methods” financed three years of full-time research and international collaboration. Editorial & community roles: He serves on the editorial boards of International Journal of General Systems and Mathematical and Computational Applications , and acts as area editor for Journal of Multi-Criteria Decision Analysis , positioning him among the key gatekeepers of the MCDA community.
Chelsey R. Carter is an Assistant Professor of Public Health in the Department of Social and Behavioral Sciences at Yale School of Public Health with a secondary appointment in the Department of Anthropology. A Black feminist anthropologist of medicine, public health, and race from St. Louis, Missouri, Dr. Carter's interdisciplinary work bridges public health, anthropology, and critical race studies to address health inequities, particularly focusing on neurodegenerative diseases like ALS in Black communities. Dr. Carter received her BA in Anthropology from Emory University (2012), followed by an MPH and PhD from Washington University in St. Louis (2021), and completed a Presidential Postdoctoral Fellowship at Princeton University (2022). Her educational background reflects her commitment to both anthropological theory and public health practice. Her research examines the relationship between social determinants of health (particularly anti-Black racism, socioeconomic status, and gender) and neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS) and motor neuron diseases. Dr. Carter employs ethnographic research and qualitative methodologies to investigate how embodied inequality impacts diagnosis, treatment, and engagement in clinical trials for Black individuals with ALS. She also leads research on precision medicine and genomic research in Black communities through The Black Genome Project and studies caregiving among persons impacted by ALS. Her scholarship has been funded by the National Science Foundation, the Andrew Mellon Foundation, and the Wenner Gren Foundation. Analysis of Dr. Carter's recent publication trends reveals a strong focus on health equity, particularly examining how systemic racism manifests in medical settings and contributes to health disparities. Her work spans multiple domains including neurodegenerative diseases, HIV/AIDS care, genomics, and mental health, with consistent attention to intersectional approaches that consider race, gender, and socioeconomic status. A notable pattern in her scholarship is the use of qualitative and mixed methods to center the lived experiences of marginalized communities, challenging dominant biomedical paradigms through a Black feminist lens. Principal's Development Fund Visiting Scholar (2024) Distinguished Teaching Award from Yale School of Public Health (2023) Funding from the National Science Foundation Support from the Andrew Mellon Foundation Wenner Gren Foundation grant Dr. Carter actively mentors students and has developed innovative teaching approaches, including her course 'Biomedical Justice: Public Health Critiques and Praxis,' which encourages students to bring their full selves into the classroom. Her research has been supported by significant grants that enable community-engaged work addressing health disparities. She emphasizes the importance of community partnerships in her research, ensuring that academic work serves and is accountable to the communities being studied. Dr. Carter is Founder and Director of The LEITH (Lived Experiences Igniting Transformations in Health) Lab, which addresses Black invisibility and misdiagnosis for rare neurodegenerative and genetic diseases. The lab brings together persons and caregivers impacted by rare diseases, researchers, clinical providers, educators, students, and activists to develop more humanizing and critical approaches in the rare neurodegenerative field. The LEITH Lab's vision centers on advancing anti-racist research, fostering awareness through education, creating palliative networks for support, and developing a pipeline of health equity scholars.
William Gropp is the Grainger Distinguished Chair and Director of the National Center for Supercomputing Applications (NCSA) at the University of Illinois Urbana-Champaign. He holds a Ph.D. in Computer Science from Stanford University (1982) and has contributed extensively to parallel computing, software for scientific computing, and numerical methods for PDEs. His research focuses on high performance computing, programming models, and scalable algorithms. Education: B.S. Mathematics (Case Western Reserve, 1977), M.S. Physics (University of Washington, 1978), Ph.D. Computer Science (Stanford, 1982). Research Interests: Gropp's work spans HPC, parallel computing, and numerical methods. He co-developed the MPI standard and MPICH implementation, and contributed to the PETSc library. His current projects include the Delta and DeltaAI supercomputers, Illinois Computes, and exascale initiatives. Scientific Awards: AAAS Fellow (2018), ACM/IEEE-CS Ken Kennedy Award (2016), SIAM/ACM Prize (2015), and 2024 ACM Software System Award. Member of the National Academy of Engineering. Grants & Leadership: Director of NCSA, leader of the Midwest Big Data Hub, and contributor to NSF-funded projects. His teams support AI/ML infrastructure and exascale computing. He advises on HPC policy and serves on committees like the Computing Community Consortium. Labs/Teams: NCSA, Siebel School research groups, collaborations with DOE, NSF, and industry partners. His work drives advancements in cyberinfrastructure and computational science.
Gita Steiner-Khamsi is the William Heard Kilpatrick Professor of Comparative Education at Teachers College, Columbia University, where she chairs the Department of International and Transcultural Studies. She also holds a UNESCO Chair in Comparative Education Policy at the Geneva Graduate Institute of International and Development Studies. Her career spans over three decades with significant contributions to understanding how educational policies travel across national borders and are adapted in local contexts. Her educational background includes a Ph.D. in Social Psychology from the University of Zürich (1983) and an honorary doctoral degree from Mongolian State University of Education (2004). Prior to joining Columbia, she worked for ten years on multicultural and anti-racist education policies at the Ministry of Education in Zurich, Switzerland. Steiner-Khamsi's research focuses on policy borrowing and lending, globalization studies, comparative policy analysis, school reform, and teacher policy. She has pioneered system-theoretical approaches to understanding externalization, reception, and translation of educational policies across borders. Her work examines how international organizations govern education in the absence of coercive measures and how governments respond to global norm-setting. Her publication record shows consistent scholarly output with increasing focus on knowledge brokerage as a global governance tool, soft governance through international comparison, and transnational accreditation of public schools. Her most recent book (2025) explores the seven temporalities of global school reform, demonstrating her continued evolution in examining the time dimensions of policy transfer. William Heard Kilpatrick Professor of Comparative Education UNESCO Chair in Comparative Education Policy Dr. h.c. from Mongolian State University of Education Steiner-Khamsi has supervised over 60 doctoral students (PhDs and EdDs) and has led significant international projects including the USAID Teacher Education Project in Pakistan, which she describes as giving "ownership to Pakistanis" rather than having donors dictate implementation. Her research has been supported by various international organizations including UNICEF, where she investigated teacher shortages in Eastern Europe and Central Asia. She maintains active research projects examining public-private partnerships in education, global governance mechanisms, and transnational accreditation systems, continuing to shape the field of comparative education policy through both theoretical contributions and practical applications in diverse international contexts.
Andrea Tapia is an Associate Professor of Information Sciences and Technology at Pennsylvania State University. She holds a Ph.D. in Sociology from the University of New Mexico (2000). Her research focuses on the intersection of social theory, ICT, and crisis response, with a particular emphasis on leveraging social media for disaster resilience and humanitarian action. She has secured over $3.7 million in external funding, supervised 16 graduate committees (including 10 PhDs and 6 master’s theses), and authored over 40 journal articles, 60 conference papers, and 12 book chapters. Tapia is an elected leader in the American Sociological Association and the International Association for Information Systems for Crisis Response and Management. Her work directly influences UN policy, international relief organizations, and U.S. governmental initiatives. She has pioneered platforms like Aurorasaurus and contributed to frameworks for social media integration in emergency dispatch systems. Her research spans crisis informatics, crowdsourced early warning systems, and inter-organizational collaboration in humanitarian contexts. Notable achievements include developing methodologies for trust detection in social media data and analyzing disaster response coordination networks. Tapia has presented at 73 conferences, including 31 invited talks, and her scholarship emphasizes actionable insights for policymakers and practitioners. Tapia teaches 12 courses across undergraduate, Honors, and graduate levels, reflecting her commitment to education. Her current focus includes refining frameworks for social media data adoption in public safety answering points and advancing resilience analytics for cyber-physical-social systems. She leads interdisciplinary teams addressing challenges in disaster response, digital volunteering, and technology-mediated collaboration.
Charles Perin is an Assistant Professor of Computer Science at the University of Victoria, leading the UViz research group. He holds a PhD from Université Paris-Sud (2014) and has held roles including Post-doc at the University of Calgary and Lecturer at City, University of London. His research focuses on information visualization, personal visualization, human-computer interaction, and sports visualization. Education: PhD in Computer Science (2014), Université Paris-Sud; Post-doc at University of Calgary (InnoVis lab); MS and earlier studies in Computer Science and HCI in France. Research interests include designing interactive visualization tools for personal data reflection, health data communication, and sports analytics. He emphasizes authoring tools for non-experts and physical/tangible visualization systems. Recent work explores embedded data physicalizations and mobile visualization design. His articles span topics like data storytelling, patient-generated health visualizations, and soccer data analysis, often appearing in top venues like IEEE VIS, CHI, and Eurovis. He has advised over 20 students across PhD, MSc, and undergraduate levels. Teaching includes courses on Information Visualization and HCI at UVic, City, and other institutions. He co-organized workshops on topics like Personal Visualization and Sports Data at IEEE VIS. His UViz lab collaborates internationally with institutions like Monash University and the National Archives (UK).
