Brian Loranger serves as a Lecturer in Interactive Visualisation at the University of the Highlands and Islands, affiliated with The Digital Health & Care Institute. With over 25 years of professional experience spanning game development, software design, and data visualization, he has dedicated more than a decade to higher education teaching. His educational foundation includes a master’s degree in design ethnography, enabling his interdisciplinary approach to digital solution design. Loranger’s research focuses on practical applications of visualization technologies: Medical and Heritage Visualization through XR interfaces Serious Games development for educational contexts User-centered design methodologies for 3D simulations Data visualization using Unity 3D and C# programming frameworks He actively contributes to multiple academic programs including the BSc Immersive Systems Design (teaching 3D Modelling and Games/Virtual Reality modules) and MSc programs in Serious Games & Virtual Reality, Medical Visualisation & Human Anatomy, and Heritage Visualisation. His project portfolio features Interactive & XR Apps for Medical Visualisation development. While specific student supervision records and grant details aren’t documented in available materials, his lecturing role indicates ongoing mentorship in visualization techniques and game development. Loranger maintains strong ties with The Digital Health & Care Institute, where his work bridges academic theory with healthcare and cultural heritage applications.
Alvin Cheung is an Associate Professor in the Department of Computer Science at the University of California, Berkeley, where he is a member of the Data Systems and Foundations group and Programming Systems group. He also participates in the Sky Computing Lab and SpeciaLIzed Computing Ecosystems (SLICE) Lab, and serves as a faculty affiliate at the Berkeley Institute for Data Science. His research spans database systems, programming languages, and software engineering with applications across various domains. Professor Cheung's research focuses on creating systems that bridge the gap between data management and programming languages. His work centers on three main themes: verified lifting techniques for inferring program properties; designing new data processing and programming language techniques; and improving end-user data programming experiences through novel interfaces and code generators. His research integrates formal methods, deep learning, and program synthesis to solve practical challenges in data-intensive applications. His publications reveal a strong trend toward leveraging machine learning, particularly large language models, to enhance code generation, optimization, and understanding. Recent work increasingly focuses on verified approaches that combine formal reasoning with neural techniques, addressing challenges in database systems, compiler design, and programming language theory while maintaining correctness guarantees. ACSIC Rock Star Award (2025) AITO Dahl Nygaard Junior Prize (2024) VLDB Early Career Research Contributions Award (2023) Army Research Office Young Investigator Award (2022) Office of Naval Research Young Investigator Award (2021) Sloan Research Fellowship (2019) DOE Presidential Early Career Award for Scientists & Engineers (2019) Professor Cheung has advised numerous doctoral and master's students who have gone on to positions at leading technology companies including AWS, OpenAI, Microsoft Research, and Adobe Research. His research has been generously supported by multiple federal agencies including the National Science Foundation, Department of Energy, Office of Naval Research, Army Research Office, and Intel Corporation, reflecting the significance and impact of his work across both academic and industrial settings. He leads research efforts in the EPIC Data Lab, Sky Computing Lab, and SLICE Lab, where his team develops innovative approaches to data management, programming systems, and specialized computing ecosystems. Current projects focus on applying verified lifting techniques, developing new data processing frameworks, and creating user-friendly interfaces for data programming across diverse application domains.
Maria Aloni is an Associate Professor of Logic and Language at the Institute for Logic, Language and Computation (ILLC) and the Department of Philosophy at the University of Amsterdam. She holds dual affiliations with the Formal Semantics & Philosophical Logic (FSPL) research unit as her primary affiliation and the Epistemology & Philosophy of Science (EPS) unit as her secondary affiliation. Her research bridges formal semantics, philosophical logic, and the philosophy of language, with particular expertise in quantification, modality, and the interpretation of indefinite expressions. She currently leads the N∅thing is Logical (NihiL) project, which investigates cognitive tendencies to neglect empty representations and their effects on reasoning and interpretation. Aloni completed her PhD at the University of Amsterdam in 2001 with the thesis "Quantification under Conceptual Covers," which won the prestigious E. W. Beth Dissertation Prize in 2002. Her academic trajectory includes significant research funding: an NWO Veni grant (2004-2007) for "Semantic Structure and Dynamics in Natural Language Interpretation," an NWO Vidi grant (2007-2012) as Principal Investigator for "Indefinites and beyond. Evolutionary pragmatics and typological semantics," and the current NWO Open Competition Grant (since 2023) for the NihiL project. Her research spans formal semantics and pragmatics, with specific expertise in quantification, modals, propositional attitudes, reference, indefinites, disjunction, indexicals, questions, imperatives, and various semantic phenomena including free choice, exhaustification, and presupposition. She employs diverse methodologies including formal modeling, corpus analysis, and experimental approaches to investigate how linguistic meaning is constructed and interpreted across different contexts and languages. Aloni's recent publications demonstrate a consistent focus on the "neglect-zero" hypothesis, examining how cognitive tendencies to ignore empty representations affect interpretation of quantifiers, disjunction, and free choice phenomena. Her work also explores cross-linguistic and diachronic dimensions of indefinites, investigating how pragmatic inferences become conventionalized in language through historical processes. Scientific awards: E. W. Beth Dissertation Prize (2002) for "Quantification under Conceptual Covers" As an educator, Aloni coordinates the MoL Graduation Trajectory for Master of Logic students and teaches courses including "Introduction to Logic" and specialized seminars on semantics and philosophy. She has supervised numerous Master's theses in the Logic program, with recent students exploring topics related to free choice phenomena, perspective shifts, and linguistic semantics. Her research is supported by significant grants from the Netherlands Organisation for Scientific Research (NWO) and previously from the European Union. Aloni is a key member of the Formal Semantics & Philosophical Logic research unit at ILLC and collaborates extensively with international researchers. Her current NihiL project brings together interdisciplinary perspectives from linguistics, philosophy, and cognitive science to investigate the cognitive foundations of logical reasoning and its divergence from everyday reasoning patterns.
Konstantina Chrysafiadi is a Lecturer at the Department of Computer Science, University of Piraeus, Greece. She has held this position since 2007 and teaches undergraduate and graduate courses while supervising student theses. Her expertise lies in Artificial Intelligence, Fuzzy Logic systems, adaptive learning environments, and e-learning methodologies. She is a prolific researcher with over 60 publications in peer-reviewed journals and conferences, including a notable Best Paper Award at the 2020 IISA Conference. Education: PhD and Postdoctoral Research in Computer Science (University of Piraeus) MSc in Information Systems (Athens University of Economics and Business) BSc in Computer Science (University of Piraeus) Research focuses on Fuzzy Logic applications in adaptive educational systems, smart home safety, and personalized learning. Her work bridges theoretical foundations with practical implementations, such as intelligent tutoring systems and emergency prevention frameworks. Recent projects include developing AI-driven cultural e-learning platforms and fuzzy logic-based recommendation systems. Awards: Best Paper Award (IISA 2020) Her contributions to adaptive assessment tools and student modeling have pioneered dynamic educational technologies. Ongoing work explores cognitive-based game design and hybrid learning models integrating machine learning with fuzzy logic.
Michael J. Fu is an Associate Professor in the Department of Electrical Engineering and Computer Science at Case Western Reserve University's Case School of Engineering. He holds appointments as Bioscientific Staff at The MetroHealth System and Research Scientist at the Louis Stokes Cleveland Veterans Affairs Medical Center. His research focuses on neurorehabilitation technologies, functional electrical stimulation, and haptic interfaces with applications in stroke, spinal cord injury, and cerebral palsy rehabilitation. Education: PhD in Electrical Engineering, Case Western Reserve University (2011) MS in Electrical Engineering, Case Western Reserve University (2006) BS in Electrical Engineering and Computer Science, University of California, Berkeley (2003) Research Interests: Dr. Fu develops innovative assistive technologies integrating virtual environments, video games, and functional electrical stimulation (FES) for neurorehabilitation. His work emphasizes home-based therapies for pediatric hemiplegia and stroke patients, leveraging haptic interfaces and advanced signal processing techniques. Current projects include low-cost bioimpedance monitoring systems and contralateral FES control mechanisms. Awards & Recognition: 2021 XPRIZE Foundation All Nippon Airways Avatar XPRIZE Semifinalist 2021 CWRU Office of the Provost Think Big Leadership Award 2020 NSF CAREER Award 2015 Cleveland CTSC Best Poster Award Grants & Professional Activities: Recipient of National Science Foundation funding (CAREER grant). Active member of the American Society of Neurorehabilitation since 2014. His collaborative projects bridge engineering and clinical medicine, involving partnerships with major healthcare institutions in Cleveland. Labs & Teams: Leads research initiatives in neurorehabilitation engineering at Case School of Engineering, collaborating with MetroHealth and VA Medical Center teams to translate engineering innovations into clinical solutions.
Isabelle LINDEN is a Professor in Information Management at the University of Namur (UNamur), affiliated with the School of Management and the Department of Management Sciences . She leads research within the Namur Digital Institute (NADI) and Management of Information and Digital Transformation (MIND IT) research groups, while also collaborating with the Research Group on the Foundations of Computer Science (FOCUS) . Ph.D. in Computer Science (FUNDP 2007) Master in Computer Science (FUNDP 2002) Master in Philosophy (ULg 1999) Master in Mathematics (ULg 1995) Her research focuses on Knowledge Representation , Decision Support Systems , and Business Intelligence , with key projects exploring: Temporal coordination languages (semantics, expressiveness) Expert systems in legal and logistics domains Interactive visualizations preserving textual polysemy Data culture models for local governments Recent collaborative work includes projects like CYBEREXCELLENCE (cybersecurity), ARIAC (trusted AI), and GenQuAD (anomaly detection in industry 4.0), funded by Walloon Region and DigitalWallonia4.AI initiatives.
Professor John Rogan is a faculty member in the Department of Geography at Clark University. With a Ph.D. from San Diego State University/University of California, Santa Barbara (2004), M.A. (1998), and B.A. (1996) in Geography from the University of Arizona, his work bridges landscape ecology, urban forestry, fire ecology, and GIScience. He focuses on remote sensing applications for urban heat island dynamics, wildfire impacts, and socio-environmental governance. Ph.D., Geography, San Diego State University/University of California, Santa Barbara (2004) M.A., Geography and Regional Development, University of Arizona (1998) B.A., Geography and Regional Development, University of Arizona (1996) His research explores: landscape ecology through remote sensing; urban forestry in post-industrial cities; fire ecology in western U.S. forests; and GIScience for environmental policy analysis. Recent projects examine extractive industries in Honduras, urban heat island mitigation in Massachusetts Gateway Cities, and energy justice through citizen science. Article trends reveal expertise in multi-scaled ecological assessment , wildfire severity mapping , urban canopy dynamics , and spatiotemporal deforestation analysis using Landsat and MODIS data. Collaborative work spans institutions like UMass Clean Energy Extension and Oxfam America. Grants include: Gordon and Betty Moore Foundation (2025-2027): Impact of Extreme Weather Events on Yucatán Forests NASA (2024-2026): Coastal Wetland Change Detection Ford Foundation (2024-2025): Natural Resource Extraction Governance US Forest Service (2022-2024): Mangrove Cover Analysis in Ecuador Clark University (2021-2022): Riparian Forests for Public Health USDA (2020-2021): Urban Heat Island Assessment
Dr. Tanja Dackermann is a Researcher at the Leibniz Institute for Science and Mathematics Education (IWM) in Tübingen, Germany, where she has served as a research assistant since August 2014 and was a member of the former Junior Research Group Neuro-cognitive Plasticity. Her educational foundation includes a Diploma in Psychology from Justus Liebig University Gießen and the University of Tübingen. From 2011 to 2014, she completed her doctoral studies as a scholarship holder of the Cooperative Research Training Group funded by the Ministry of Science, Research and the Arts in Baden-Württemberg, investigating spatial representations of number magnitude and embodied numerical training approaches. Dr. Dackermann's research centers on numerical cognition with emphasis on developmental trajectories of numerical skills in children. She pioneers embodied and media-supported training programs to enhance basic numerical competencies while developing diagnostic tools for identifying mathematical learning difficulties. Her work bridges cognitive psychology with practical educational applications, demonstrating how physical interaction and digital media transform mathematical learning processes through rigorous empirical investigation. Analysis of her publication record reveals consistent innovation in number line estimation methodologies, exploring bounded versus unbounded task constraints, multimodal presentation formats, and embodied training effects across diverse learner populations. This research program demonstrates how spatial-numerical associations predict arithmetic development and informs targeted interventions for children with mathematical learning difficulties. At the IWM, Dr. Dackermann contributes to the institute's research ecosystem through engagement with labs focused on multimodal interaction and knowledge construction, advancing the institute's mission to optimize digital learning environments through evidence-based cognitive science research.
Gopu R. Potty is a Professor of Ocean Engineering at the University of Rhode Island's Graduate School of Oceanography. His research focuses on underwater acoustics, acoustic signal processing, and wave propagation in marine environments, with particular expertise in the New England Mud Patch region. He maintains an active laboratory and research program with extensive collaborations across multiple institutions. His educational background includes a Ph.D. in Ocean Engineering from the University of Rhode Island (2000), an M.S. in Ocean Engineering from the Indian Institute of Technology, Madras, India (1987), and a B.S. in Civil Engineering from the University of Kerala, India (1985). This strong foundation in both civil and ocean engineering has shaped his interdisciplinary approach to marine acoustics problems. Professor Potty's research centers on understanding how sound propagates through complex marine environments, particularly focusing on sediment properties and their acoustic effects. His work bridges theoretical acoustics with practical environmental applications, especially related to offshore wind farm development. He has made significant contributions to geoacoustic inversion techniques, interface wave analysis, and the characterization of mud layers in shallow water environments. His laboratory employs advanced instrumentation including vector sensors, geophones, and tetrahedral arrays for comprehensive seabed characterization. His recent publications reveal a strong emphasis on the acoustic impacts of offshore renewable energy development, with numerous studies examining noise propagation during wind farm construction, bubble curtain effectiveness, and particle motion measurements. This work addresses critical environmental concerns while advancing fundamental understanding of underwater acoustics in complex seabed environments. Professor Potty has secured substantial research funding as a Co-Principal Investigator on numerous projects from agencies including the US Department of the Interior, Office of Naval Research, and industry partners. His collaborative approach is evident in his frequent co-authorship with researchers like James H. Miller, Ying-Tsong Lin, and other URI colleagues. His current research focuses on sediment-borne wave disturbances, offshore wind structure installation monitoring, and advanced acoustic sensing techniques for marine environmental assessment.
Aaron M. Kyle is Professor of the Practice in Biomedical Engineering at Duke University's Pratt School of Engineering. With a PhD from Purdue University, his work bridges biomedical instrumentation development, engineering education innovation, and STEM outreach programs for youth. Research focuses on medical device design, disinfection technologies, and educational frameworks that promote diversity in biomedical engineering. His Maker Lab initiatives engage K-12 students in engineering design processes. Publications demonstrate expertise in developing hands-on biomedical engineering curricula, creating novel disinfection systems for global health, and designing cardiac monitoring technologies. Educational research emphasizes experiential learning, diversity initiatives, and competency-based frameworks. Grants: REINFORCING SAFE WALKER USE: A UNIVERSAL 2-WHEEL WALKER MONITORING DEVICE (2024-2026) Hk Maker Lab 2.0: Inspiring Engineering Design Thinking (2022-2025) Fostering Computational Thinking Through Neural Engineering Activities (2022-2024) He teaches courses including Medical Instrumentation, Medical Device Design, and Engineering Design Communication, integrating practical skills with theoretical foundations.
David Gatchell is a Clinical Professor in the McCormick School of Engineering at Northwestern University , holding joint appointments in the departments of Biomedical Engineering and Mechanical Engineering. His research focuses on undergraduate engineering education, emphasizing global, societal, economic, and environmental (GSEE) factors in design education. He leads NIH-funded initiatives to develop biomedical engineering infrastructure in Nigeria, fostering locally driven medical innovations. He is affiliated with the Segal Design Institute and has collaborated across disciplines to enhance engineering education. Education: Ph.D. in Biomedical Engineering, Boston University A.B. in Physics, Bowdoin College Research Interests: Dr. Gatchell’s work bridges education and global health engineering. He designs curricula to integrate GSEE considerations into engineering design, ensuring graduates address real-world challenges. His Africa-focused projects aim to create sustainable biomedical solutions through interdisciplinary collaboration between business, engineering, and medical fields. He emphasizes 'home-grown' innovations tailored to local needs in sub-Saharan Africa. Grants & Collaborations: NIH Fogarty Center grant for biomedical infrastructure in Nigeria Interdisciplinary teams across Northwestern’s schools Labs & Teams: Active contributor to the Segal Design Institute , focusing on design thinking and global health engineering.
Lori Qingyuan Yue serves as Associate Professor of Business in the Management Division at Columbia Business School, Columbia University, where she has been a faculty member since 2021. Her research and teaching explore the complex interplay between business, society, and government, with emphasis on corporate responses to contentious social environments and regulatory uncertainty across domestic and global contexts. Her academic foundation includes: Bachelor of Science from Renmin University of China Master of Science from Peking University Doctor of Philosophy from Columbia Business School Professor Yue's research program addresses critical questions at the intersection of business and society. Key areas include corporate responses to social movements, strategic deployment of nationalism by firms, and political navigation strategies for multinational corporations in volatile environments. She employs innovative methodologies ranging from computational text analysis using large language models to historical case studies, developing theories on corporate sociopolitical activism and regulatory adaptation with significant implications for business practice and societal engagement. Analysis of her publication portfolio reveals a cohesive research agenda centered on corporate adaptation to sociopolitical turbulence. Her work spans organizational nationalism, industry self-regulation, and corporate political strategies, consistently examining how firms leverage nonmarket approaches to navigate uncertainty. Notably, she pioneers computational techniques to measure constructs like nationalism in corporate communications, bridging qualitative insights with large-scale data analysis to uncover patterns in global business behavior. Her scholarly contributions have been recognized by premier academic organizations including: Academy of Management (AOM) Responsible Research in Business & Management (RRBM) Strategic Management Society (SMS) Academy of International Business (AIB) INFORMS Law and Society Association Professor Yue actively mentors doctoral students and has served as Associate Editor for Management Science and Consulting Editor for the American Journal of Sociology. Her teaching spans Columbia's MBA, EMBA, Executive Education, and undergraduate programs, where she designs courses on top management processes and global enterprise strategy. She previously taught Strategic Management at the University of Southern California, winning both teaching and research awards for her contributions. Though not formally affiliated with a named research lab, Professor Yue collaborates extensively within Columbia Business School's research ecosystem, particularly through the Management Division's focus on organizational theory and strategy. Her work frequently engages interdisciplinary perspectives to address complex questions at the business-society interface, with research frequently cited in major media outlets including The New York Times and The Economist.
Illah Nourbakhsh is the Kavčić-Moura Professor of Robotics and Executive Director of the Center for Shared Prosperity at Carnegie Mellon University (CMU). He directs the CREATE Lab, focusing on community-driven robotics, education, and technology empowerment. His research spans human-robot interaction, ethics in AI, and environmental sensing, with projects like Smell Pittsburgh and the Owlet math program. He holds roles at NASA (retired civil servant), multiple foundations, and global advisory boards. Education: PhD, MS, and BS in Computer Science from Stanford University (1997). Research Interests: Human-robot collaboration for learning, roboethics, community citizen science, and AI ethics. Recent projects emphasize participatory design and scalable social impact, such as air quality monitoring and educational robotics kits. Awards: Kavli Fellow (2009), West Virginia Hall of Fame (2013), Hastings Fellow (2019). Authored books include Robot Futures , AI and Humanity , and Turn Left . Grants & Labs: Leads the CREATE Lab’s initiatives, including EarthTime, Hear Me, and Explorables. Collaborates globally on humanitarian robotics and environmental health projects. Labs/Teams: CREATE Lab, Center for Shared Prosperity, and partnerships with NASA, Open Planet, and the Benedum Foundation.
William Regli is a Professor at the University of Maryland's Clark School of Engineering, holding appointments in Computer Science, Electrical and Computer Engineering, and the Institute for Systems Research. He also directs the Applied Research Laboratory for Intelligence and Security (ARLIS), overseeing over 75 researchers focused on defense and intelligence challenges. Regli's career spans academia, government leadership (including DARPA's Defense Sciences Office), and industry, with over 250 publications and five foundational U.S. patents in 3D CAD search. His research integrates AI, robotics, and computational modeling to address interdisciplinary problems in engineering, materials science, and national security. Education: Ph.D. and B.S. in Mathematics from the University of Maryland and Saint Joseph's University, respectively. He is a Fellow of AAAS and IEEE, recognized for contributions to 3D search and intelligent manufacturing. Research interests include AI agents, cyber-infrastructure for engineering data sustainability, advanced materials design, and robotic interoperability using category theory. His recent work emphasizes applying AI to national security, including trustworthy AI evaluation and social science integration. Awards include the DARPA Meritorious Public Service Medal (2018), AAAS Fellowship (2020), and IEEE Fellowship (2017). His articles reflect a focus on multi-agent systems, robotic task planning, and formal methods in autonomous systems. He advises multiple PhD students and has spun off two tech startups. Regli's laboratories include ARLIS, where he develops solutions for defense missions, and collaborates with the Maryland Robotics Center. His work bridges academia and government, emphasizing real-world impact through innovative computing research.
Adam Fourney is a Senior Principal Researcher at Microsoft Research's Human-AI eXperiences (HAX) group in Redmond. He holds a Ph.D. and M.Math. from the University of Waterloo and a B.Sc. from the University of Ottawa. His work focuses on AI agents collaborating with humans to complete complex tasks, including projects like AutoGen and Magentic-One. He previously studied web search, intelligent assistants, and information systems at the University of Waterloo. Education: Ph.D. (Computer Science), University of Waterloo M.Math. (Computer Science), University of Waterloo B.Sc. (Computer Science), University of Ottawa His research interests span Human-AI collaboration, multi-agent systems, AI ethics, and AI-assisted programming. He explores how AI systems can support human tasks while addressing challenges like uncertainty, communication breakdowns, and alignment with human goals. His work bridges technical innovation with user-centered evaluation, emphasizing real-world usability and societal impact. His recent articles highlight advancements in interactive AI debugging, alignment of AI tools with human needs, and leveraging search data for public health insights. Notably, he received a Best paper honorable mention at CHI 2024 for work on AI-assisted programming costs. Adam has collaborated extensively with researchers across Microsoft and academia, contributing to open-source tools like AutoGen Studio and foundational studies in human-LLM interactions. His interdisciplinary approach combines technical rigor with insights from user behavior and social dynamics.
