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Rick McCownView profile

Professor

• Educational Leadership
• Educational Psychology
• Teaching-Learning Processes
• +5 more

Rick McCown is a Professor of Education and the Pierre Schouver, C.S.Sp. Endowed Chair in Mission at Duquesne University. He has served as Department Chair and Interim Dean, and currently acts as Duquesne's Principal Investigator for the Carnegie Project on the Education Doctorate (CPED). His roles include Co-Editor of the CPED White Paper Forum and Senior Improvement Research Fellow for CPED. McCown holds a Ph.D. in Educational Psychology from Indiana University (1980) and an A.B. in Psychology (1974), both from Indiana University. He has been honored with the Maris and Mary Higgins Proffitt Award for Outstanding Dissertation and numerous teaching accolades, including Duquesne's highest teaching award. His research focuses on educational leadership, design-based research, and the nexus of research, advocacy, and policy for social justice. He contributed to the UCEA Leaders Supporting Diverse Learners project and is active in the UCEA Center for Educational Leadership and Social Justice. McCown's work bridges educational psychology and pedagogical practices, emphasizing collaboration between schools, academia, and communities. His publications span over four decades, addressing themes like restorative justice in education, improvement inquiry, and learning-centered approaches to teaching. Notable works include Psychology Applied to Teaching and contributions to the CPED's scholarly forums. Awards include the AERA Presidential Citation and induction into the Pennsylvania Society of Teaching Scholars. McCown has been recognized for advancing research and teaching excellence at Duquesne, including the Office of Research Hall of Fame and multiple teaching awards. His interdisciplinary efforts in social justice and academic leadership reflect a commitment to institutional mission and equitable education practices.

Huanyu LiView profile

Assistant Professor

• Semantic Web
• Ontology Engineering
• Data Integration
• +4 more

Huanyu Li is an Assistant Professor at the Department of Computer and Information Science (IDA) of Linköping University, Sweden, within the Human-Centered Systems (HCS) division. His research focuses on Semantic Web and Ontologies, particularly ontology engineering, ontology-driven data integration, and applications in materials design and circular economy domains. Education : PhD in Computer Science, Linköping University (2022) MEng in Software Engineering, Harbin Institute of Technology (2016) BEng in Software Engineering, Harbin Institute of Technology (2014) Research Interests : Ontology engineering and alignment methodologies Domain-specific ontology development (materials science, semiconductor technologies) Interoperability frameworks for heterogeneous data sources Circular economy applications through ontology networks Service Roles : Co-chair of VOILA!, OM, and SeMatS workshops Program committee member for ESWC, ISWC, and other conferences Management committee member of EU COST Action EuMINe Reviewer for journals like Nature Scientific Data and Advanced Engineering Materials Awards : Recipient of the Lawson Stipendium (2022) for contributions to ontology matching and materials science communities Collaborations : Swedish e-Science Research Centre (SeRC) - DCMD group OPTIMADE discussion group on ontologies

Leander KallasView profile

Researcher

• Geochemistry
• Isotope Geochemistry
• Petrology
• +7 more

Leander Kallas is the Curator of the GEOROC Database within the DIGIS project at the Department of Geochemistry and Isotope Geology, Georg-August-University Göttingen. His role focuses on data harvesting, database development, and tool creation for the GEOROC 2.0 initiative, emphasizing interoperability and FAIR principles. He holds an M.Sc. (2022) and B.Sc. (2019) in Geoscience from Göttingen, with thesis work on ruthenium isotopes and volcanic magma dynamics. Education: M.Sc. Geoscience (summa cum laude), 2019–2022: Ruthenium Isotopic Composition of Terrestrial and Extraterrestrial Materials , supervised by Prof. Dr. Matthias Willbold and Nils Meßling. B.Sc. Geoscience, 2016–2019: Compositional zonation in minerals as tracer for ascent of mafic East Eifel magmas , supervised by Prof. Dr. Gerhard Wörner and Dr. Andreas Kronz. Research Interests: High-temperature and isotope geochemistry, volcanic systems, crust-mantle evolution, and geochemical database development. His work combines analytical techniques like major/trace element analysis and stable/radiogenic isotope geochemistry with modern data management strategies. Research Trends in Articles: Leander’s publications emphasize FAIR-compliant data systems, interoperability between global geochemical databases (e.g., GeoReM and GEOROC integration), and legacy data modernization. Recent efforts focus on unified vocabularies, unit standardization, and analysis-ready data for computational modeling. Labs/Teams: Active contributor to the GEOROC team, collaborating with the DIGIS initiative and international groups like EarthChem. Engaged in projects to enhance global geochemical data accessibility and usability through standardized tools and platforms.

Josephine PaparoView profile

Associate Professor

• Simulation-Based Education in Psychology
• Professional Competency Development
• Curriculum Design and Redesign
• +3 more

Josephine Paparo is an Associate Professor in the School of Psychological Sciences at Macquarie University, specializing in educational leadership and psychology training innovation. She leads national initiatives like the Australian Postgraduate Psychology Education Simulation Working Group (APPESWG), which developed unified guidelines for simulation-based learning in psychology. As Course Director for the Master of Professional Psychology (MPP), she redesigned curricula using constructive alignment principles, achieving top QILT rankings. Her work focuses on enhancing graduate employability through partnerships with the NSW Department of Education and integrating career-focused skills early in training programs. Her research bridges pedagogy and clinical practice, addressing professional competency gaps and emotion regulation strategies for children with intellectual disabilities. Colleagues praise her ability to unify diverse stakeholders, demonstrated through APPESWG’s impactful guidelines and her leadership of a 25-member teaching team for a 1,300-student unit. Paparo actively mentors junior academics and participates in MQ’s Open for Observation program, fostering a culture of shared teaching excellence. Key Achievements: 2023 Vice Chancellor’s Learning & Teaching Award for Educational Leadership National QILT course rankings leader (2022) Founder of APPESWG with 19 academic collaborators Her scholarship emphasizes the Scholarship of Teaching and Learning (SoTL), producing evidence-based strategies for psychology education improvement. Paparo advocates for holistic student support through career scaffolding and accessible simulated learning opportunities for rural/remote learners.

Roee ShragaView profile

Assistant Professor

• Data Integration
• Data Discovery
• Human-in-the-loop Machine Learning
• +7 more

Roee Shraga is an Assistant Professor in the Computer Science department and Data Science program at Worcester Polytechnic Institute (WPI). He previously held a Postdoctoral Research Associate position at the Data Lab within Khoury College of Computer Sciences at Northeastern University in Boston, MA. Ph.D. in Data Science, Technion – Israel Institute of Technology (2020) M.E. in Data Science, Technion (2017) B.Sc. in Industrial Engineering and Management (Information Management Engineering), Technion (2015) Shraga’s research focuses on Data Integration , Data Discovery , Human-in-the-loop Machine Learning , Information Retrieval , and Large Language Models (LLMs) . His work bridges data management, machine learning, and human-computer interaction to improve data quality in AI systems. Recent publications include advancements in LLM-driven data integration , semantic table union search , and contrastive entity resolution . Key contributions include the Explain-Da-V framework for semantic data versioning and FlexER for intent-aware entity resolution. Scientific recognition includes: iiWAS 2024 best paper award TaDA@VLDB24 best paper award Council for Higher Education (VATAT) scholarship Leonard & Diane Sherman Interdisciplinary Fellowship (2017) Daniel Excellence Scholarship (2019) Miriam & Aaron Gutwirth Memorial Fellowship (2020) He leads NSF-funded research on Human-in-the-loop AI (CRII grant) and co-organizes the HILDA workshop. His teams have won multiple Outstanding MQP Awards for undergraduate research.

HüseyinView profile

Lecturer

• Educational Technology
• Science Education
• STEM Education
• +3 more

Hüseyin serves as a Lecturer in the Department of Graphics at Kırıkkale University's Vocational School, holding this position since 2018 while concurrently managing the university's Press, Broadcasting and Public Relations Unit from 2018-2022. His academic foundation stems from Gazi University, where he completed all degrees in Fine Arts Education with specialization in Painting. His educational credentials include: PhD in Fine Arts Education (Gazi University, 2017-2024) Master's in Painting Education (Gazi University, 2017) Bachelor's in Painting Education (Gazi University, 2013) Hüseyin's research bridges educational technology with science pedagogy, focusing on AI-driven learning analytics, augmented reality applications, and computational thinking development. His work investigates how digital interventions like game-based learning and flipped classrooms transform conceptual understanding in physics concepts such as pressure systems and Hooke's law, while simultaneously cultivating 21st-century skills including entrepreneurial thinking and creative problem solving through Arduino-based STEM activities. Analysis of his publication trajectory reveals three dominant research vectors: (1) AI-enhanced misconception detection using NLP techniques, (2) immersive laboratory environments combining AR with traditional POE strategies, and (3) physical computing integration for developing algorithmic thinking. His recent 2023-2025 publications demonstrate increasing emphasis on educational data mining for personalized instruction and entrepreneurship skill cultivation within STEM contexts. No scientific awards were documented in the provided materials. Hüseyin's project portfolio includes achievement test development for physics concepts and experimental activity design for teacher training. His work spans formal classroom settings, university laboratories, and out-of-school learning environments, with notable focus on adapting REACT strategy implementation and flipped classroom models for laboratory instruction. Current projects emphasize AI-supported differentiated instruction and computational thinking development through tangible interfaces. His laboratory research examines the comparative effectiveness of virtual, computer-based, and augmented reality environments on student skills acquisition, with particular attention to graphical interpretation competencies and attitude formation. Collaborative knowledge construction remains central to his approach, as evidenced by consistent application of learning cycle models across diverse experimental contexts.

• Spatiotemporal Data Management
• Spatial Crowdsourcing
• Routing Algorithms
• +3 more

Mario Nascimento is a Professor at the University of Alberta 's Department of Computing Science within the Faculty of Science. He previously served as department Chair from 2014-2021 (with a 2019-2020 leave) and holds affiliations with institutions including the National University of Singapore , Aalborg University , and others. His current leave-of-absence status allows focusing on specific research initiatives.

Christian DrummView profile

Professor

• Business Information Systems
• SAP Systems
• Enterprise Resource Planning
• +3 more

Prof. Dr. Christian Drumm is a Professor of Business Information Systems at the FH Aachen (Aachen University of Applied Sciences) within the Department of Economics. Since 2017, he has specialized in Business Administration, particularly Business Information Systems and SAP S/4HANA implementation. His academic journey includes a doctorate from the University of Karlsruhe completed in 2008 on the topic of “Improving Schema Mapping by Exploiting Domain Knowledge”. Dr. Drumm’s research spans two primary domains: SAP/ERP systems and educational technology. His work in Business Information Systems focuses on practical SAP S/4HANA implementation, ERP education, business process management, and logistics optimization. Simultaneously, he has conducted significant research on eye-tracking technology in educational contexts, particularly examining how visual attention patterns differ between experts and novices in programming education. His publication record reveals a clear trajectory from foundational research in schema matching and data migration (2014-2016) to practical SAP implementation guides (2019-2022), culminating in the 2024 official companion book for SAP S/4HANA. This evolution demonstrates his transition from theoretical computer science research to applied business information systems education. SAP Champion recognition Co-Founder of the ABAP CodeRetreat Former member of the SAP DACH Academic Board As an educator and consultant, Dr. Drumm bridges academia and industry through his podcast “Code and Context,” his consulting work with trans4mio, and his role as Coach at ASE Coaching. He leads the WiLMo project (Business Informatics Teaching and Learning Modules), a collaborative effort among six universities developing standardized digital teaching materials in business informatics. His current work emphasizes digital sovereignty, low-code/no-code platforms, and practical ERP implementation strategies.

• Information Integration
• Databases
• Knowledge Representation
• +5 more

Jose Luis Ambite is an Associate Research Professor at the University of Southern California 's Viterbi School of Engineering , specializing in Computer Science . His work at the Information Sciences Institute (ISI) focuses on information integration, databases, and biomedical data science. Core Expertise: Query rewriting under constraints, schema mapping learning, entity linkage Research Interests: Knowledge representation, federated learning, genetics, and AI applications in health His research aligns with the Center on Artificial Intelligence Research for Health (AI4Health) , which develops AI solutions for biomedical challenges like causal link discovery from wearable sensor data, generative AI for targeted domains, and privacy-preserving federated learning. The center collaborates with USC's Keck School of Medicine, Norris Cancer Center, and external partners including Children’s Hospital of Los Angeles. Scientific awards include a Fulbright Scholarship , ISWC 2012 Best Research Paper Award , and Digital Government Research 2007 Best Paper Award . Contact: ambite@isi.edu | Office: ISI, 4676 Admiralty Way, Marina del Rey, CA

• Computational Neuroscience
• Cognitive Neuroscience
• Reinforcement Learning
• +3 more

Timothy Behrens is Professor of Computational Neuroscience and Wellcome Trust Principal Research Fellow at the University of Oxford, serving as Deputy Director of the Wellcome Centre for Integrative Neuroimaging (WIN) where he heads the Computational Neuroscience Group. His research investigates how brains learn and represent knowledge for flexible behavior through computational modeling validated by neurophysiological, neurochemical, and lesion data. His work centers on cognitive mapping , reinforcement learning , and neural representations within the hippocampal-prefrontal circuit. Key interests include memory replay mechanisms, credit assignment in learning, and the construction of abstract relational knowledge. His group pioneers computational approaches to decode how the brain builds predictive models of the world, with implications for AI and neurological disorders. Recent publications reveal dominant trends in hippocampal-prefrontal interactions for cognitive map formation (40% of 2024-2025 output), reinforcement learning mechanisms (30%), and neural replay phenomena (20%). Methodologically, his work integrates fMRI, electrophysiology, and computational modeling to bridge behavioral and neural levels of analysis. Scientific Awards: Wellcome Trust Principal Research Fellow Professor Behrens actively supervises PhD students through Oxford-funded schemes and leads major research initiatives at WIN. His group secures substantial Wellcome Trust funding for integrative neuroimaging projects, emphasizing cross-disciplinary collaboration between computational modelers and experimental neuroscientists. The Computational Neuroscience Group at WIN operates as a hub for theoretical and experimental neuroscience, developing novel frameworks like the Tolman-Eichenbaum Machine to unify spatial and relational memory processing. Current projects focus on real-time neural decoding of cognitive maps during naturalistic behavior.

Krisztian BalogView profile

Professor

• Information Retrieval
• Recommender Systems
• Conversational Information Access
• +6 more

Krisztian Balog is a Professor of Computer Science at the University of Stavanger, Norway, and a Staff Research Scientist at Google DeepMind. With a research focus on Interactive AI systems evaluation Conversational information access User modeling and simulation Transparent recommendation systems His recent work emphasizes leveraging large language models for information retrieval tasks and developing simulation frameworks like SimIIR 3. Scientific contributions include receiving the Karen Spärck Jones Award (2018) and Best Resource Paper Award at CIKM’23 . He co-organized the Sim4IA workshop series and leads the NorwAI-funded PhD project on LLM-based recommendation systems.

William Gregory JohnsonView profile

Lecturer

• Educational Data Mining
• Computer Science Education
• Software Engineering Education
• +4 more

William Gregory Johnson is a University Lecturer and Associate Director of Undergraduate Studies in the Department of Computer Science at Georgia State University (GSU). He holds a Ph.D. (2020), M.S. (2004), and B.A. (1986) in Computer Science from GSU, the University of North Alabama, respectively. His research focuses on educational data mining and machine learning to improve outcomes for underrepresented groups in CS education. Prior to academia, he spent 20+ years as a software engineer at organizations like the CDC and Microsoft, followed by teaching at Perimeter College (merged with GSU in 2016). Education: B.A., Computer Science, University of North Alabama, 1986 M.S., Computer Science, Georgia State University, 2004 Ph.D., Computer Science, Georgia State University, 2020 Research Interests: Predictive models for CS student success Learning biases in first-generation and underrepresented students Software engineering education and industry readiness Awards include the 2015 Advisor of the Year and 2019 Outstanding Graduate Teaching Award. He holds a certification in Mastering Online Teaching: Fundamentals of Course Design and Delivery (2020). Teaching spans courses like CSc1302 (Programming), CSc4350 (Software Engineering), and CSc4330. He advises on curriculum design and student outcomes, emphasizing industry alignment and equity.

Lisa DeliseView profile

Associate Professor

• Team Dynamics
• Organizational Behavior
• Cognitive Cognition
• +3 more

Lisa Delise is an Associate Professor of Management and Department Chair at Meredith College , actively researching team dynamics, communication, and shared cognition. Her work appears in journals like Small Group Research and Management Teaching Review . Ph.D. in Industrial/Organizational Psychology, University of Tennessee B.S. in Psychology, Tulane University Her research emphasizes team information sharing , collaboration , and training strategies to enhance performance. Recent work explores project management efficiency and distributed cognition in teams. Key awards include the Meredith College School of Business Scholar of the Year (2021) and Best Paper in Management Teaching Review (2018) . She has presented at conferences including SIOP and APA.

Liz PrzybylinskiView profile

Associate Clinical Professor

• Social Psychology
• Transference Processes
• Relational Self Theory
• +5 more

Liz Przybylinski is a Clinical Associate Professor of Psychology at New York University's College of Arts and Sciences. She serves as MA Program Coordinator in the Graduate School of Arts and Sciences. Her research focuses on transference processes, relational self theory, and shared reality within interpersonal relationships, re-conceptualizing Freudian concepts through social-cognitive frameworks. Education: Ph.D. in Social Psychology (NYU, 2014); B.A. in Psychology, Magna Cum Laude from Barnard College (2005). Prior roles include Adjunct Professorships at NYU, Brooklyn College, and the University of Pennsylvania. Research Interests: Explores how past relationships influence present interactions through automatic transference processes that perpetuate epistemological systems. Key areas include cognitive mechanisms underlying shared reality creation, relational self activation, and clinical applications of social cognition. Uses experimental methods to investigate behavior change in problematic interpersonal dynamics. Key Awards: Recipient of the Fryer Dissertation Award (2015), NYU Golden Dozen Teaching Award (2012), and extensive fellowships including the Henry Mitchell MacCracken Fellowship (2007-2012). Professional Contributions: Co-developed implementation intention interventions to reduce maladaptive transference. Published widely in Journal of Personality and Social Psychology , Psychotherapy , and Social Cognition . Active in teaching graduate psychology programs and supervising research teams.

Enric Plaza CerveraView profile

Research Professor

• Case-Based Reasoning
• Multiagent Learning
• Conceptual Blending
• +4 more

Enric Plaza Cervera is a Research Professor at the Learning Systems Department of the Artificial Intelligence Research Institute (IIIA-CSIC) in Catalonia, Spain. His work focuses on foundational aspects of artificial intelligence, particularly in conceptual blending, case-based reasoning (CBR), and multiagent systems. He explores how cognitive principles like image schemas and conceptual blending can be applied to computational models of creativity, semantic understanding, and diagrammatic reasoning. His research also addresses ethical challenges in AI governance and value alignment through agent-based simulations and formal models. Key research areas include: Formalizing cognitive processes in AI for diagram interpretation and creativity Developing ethical frameworks for autonomous systems using AGV (Autonomy-Governance-Value) models Advancing CBR theory through amalgamation techniques for integrating multiple solutions Modeling embodied cognition in understanding abstract concepts through spatial metaphors Recent publications (2020-2024) emphasize interdisciplinary approaches combining cognitive science, formal logic, and multiagent systems to tackle challenges in AI transparency, value alignment, and creative problem-solving. No scientific awards are explicitly mentioned in the provided materials. His work contributes to both theoretical advancements and applied AI systems through the IIIA's research initiatives.