Denny Borsboom is Professor in the Psychological Methods Group at the University of Amsterdam, where he directs the Social and Behavioural Data Science Centre. His research program develops network theories of psychopathology, novel psychometric methods, and formalized psychological theory through initiatives like the Psychosystems Project and Theory Methods Lab. Research focuses on conceptual foundations of measurement, complex systems approaches to mental disorders, and computational modeling of psychological phenomena. Recent publications advance network psychometrics, validity theory, and integration of intra/interindividual dynamics. Articles demonstrate strong methodological innovation through computational psychiatry applications, network theory development, and philosophical engagement with psychological foundations. Recurring themes include psychopathological networks, measurement realism, system transitions, and collaborative theory-building frameworks.
Shunyuan Zhang is an Assistant Professor at Harvard Business School with research focusing on AI algorithms, economic inequality, and computer vision applications in business contexts. His work examines how algorithmic systems impact economic outcomes, particularly in sharing economy platforms like Airbnb. His research interests include AI algorithms, economic inequality, pricing algorithms, machine learning, computer vision, and the sharing economy. Zhang's work often combines technical computer vision approaches with economic analysis to understand platform dynamics. Zhang's recent publications demonstrate a strong focus on the intersection of AI, fairness, and economic outcomes. His work analyzes how algorithmic pricing affects racial disparities on platforms like Airbnb, and how visual content impacts demand in the sharing economy. His research employs sophisticated methodologies including deep learning, structural modeling, and causal inference. He has published in top journals and working paper series, with notable work including 'Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb' and 'What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features.' Zhang collaborates extensively with leading researchers at Carnegie Mellon University and University of Toronto, particularly on topics related to algorithmic fairness and platform economics. His work has significant implications for both academic understanding and practical policy recommendations regarding algorithmic systems in marketplace contexts.
Sandhya Dwarkadas is the Walter N. Munster Professor and Chair of the Department of Computer Science at the University of Virginia. Her research focuses on the intersection of computer hardware and software, particularly in parallel computing, computer architecture, and compiler/runtime-architecture interaction. She holds dual roles as department chair and active researcher, balancing leadership with contributions to energy-efficient and reconfigurable computing systems. Education: B.Tech. in Electrical Engineering, Indian Institute of Technology (1986) M.S. and Ph.D. in Electrical and Computer Engineering, Rice University (1989, 1993) Research interests emphasize parallel and distributed computing architectures, with a focus on energy efficiency, cache coherence, and security in multicore systems. Recent work explores mitigating side-channel attacks via innovations like TimeCache and RollingCache. Her publications span 30+ years, addressing both foundational and applied challenges in computer systems. Awards highlight her impact: ACM and IEEE Fellowships (2018/2017), University of Rochester’s Hajim Award (2020), and AAAS Fellowship (2024). She actively mentors students through courses like CS 6190 and leads interdisciplinary projects like TriForce. Labs/Teams: Her work is anchored in the University of Virginia’s Computer Science Department, collaborating across academia and industry to advance next-generation computing systems.
Zhanna Sarsenbayeva is a Lecturer in the School of Computer Science at the University of Sydney. Previously, she held a Doreen Thomas Postdoctoral Research Fellowship at the University of Melbourne. Her research focuses on Human-Computer Interaction (HCI), Ubiquitous Computing, Accessibility, and Affective Computing. She earned a PhD in Engineering from the University of Melbourne, an MSc in Computer Science and Engineering from the University of Oulu, and a BSc in Computer Science from University College London. Research Interests: Dr. Sarsenbayeva explores how technology can enhance accessibility, improve emotion recognition in mobile contexts, and address situational impairments. Her work spans wearable sensors, mobile health applications, and ethical AI methodologies. Awards & Honors: 2022–2023: Australia-Germany Joint Research Cooperation Scheme 2021: CIS ECR Grant 2020: Doreen Thomas Postdoctoral Fellowship 2019: Gaetano Borriello Outstanding Student Award Advising & Grants: She currently supervises five PhD students researching topics like mixed reality collaboration and emotion recognition. Her grants include projects on accessibility standards and fairness in AI. International Collaborations: Engages with researchers at Aalborg University (Denmark), University of Oulu (Finland), and LMU Munich (Germany) on interdisciplinary projects.
Dr. Bharanidharan Shanmugam is an Associate Professor in Information Technology at Charles Darwin University's Faculty of Science and Technology. He specializes in cybersecurity, IoT security, and cyber risk management in microgrids. His research focuses on addressing real-world challenges in IoT, smart grids, and medical devices to enhance community impact. **Research Interests:** - IoT Security - Cyber Risk Assessment in Microgrids - Network and Information Security - Applied Cybersecurity Solutions - Blockchain and Privacy-Preserving Technologies **Key Projects (2019–2025):** - Cyber Territory Skills Hub (2023–2025) - Renewable Energy Microgrid Hub (2021–2024) - Blockchain-Based Digital Identity (2019–2020) **Publications:** Focuses on IoT security frameworks, intrusion detection systems, and AI-driven cybersecurity solutions. Recent works include studies on smart grid load forecasting, medical IoT threat detection, and water leakage detection using machine learning. **Grants & Supervision:** Principal Investigator on multiple ARC-funded projects. Supervises PhD students in DevSecOps and IoT security. Active in organizing workshops on digital awareness for indigenous communities.
Helen Levenson is an Associate Professor and Collection Development Librarian at Oakland University. She holds roles in library administration, academic service, and professional collaboration. Her work focuses on collection development strategies, shared print preservation, and resource optimization in academic libraries. Levenson has contributed to initiatives like the Michigan Shared Print Initiative (MI-SPI) and the Partnership for Shared Book Collections, emphasizing data-driven approaches to library management. Education: Juris Doctorate (J.D.) from Wayne State University, Master of Arts in Library Science (A.M.L.S.) and Bachelor of Arts (B.A. Philosophy) from the University of Michigan. Research interests include collaborative collection development, preservation of print materials, and the role of streaming video in academic libraries. Her work bridges legal expertise with information science, addressing challenges in library resource sustainability and policy adaptation. Publications highlight her focus on topics like bibliographic accuracy in shared print programs, optimal monograph copy models, and cost-saving collaborative weeding strategies. Her book reviews and presentations further demonstrate engagement with legal and information science topics. Awards include Oakland University's Founder's Day Faculty Recognition (2020). Service contributions span university committees (e.g., Academic Conduct Committee), library governance roles (e.g., Chair of Merit/Travel Committee), and leadership in statewide initiatives like the Michigan Shared Print Initiative. Levenson actively participates in professional organizations such as the American Association of Law Libraries and the Special Libraries Association, emphasizing interdisciplinary collaboration in library science.
Kimberly J. Morgan is a Professor of Political Science and International Affairs, and Associate Dean for Faculty Affairs at George Washington University's Elliott School of International Affairs. She holds a Ph.D. in Political Science from Princeton University and has held postdoctoral fellowships at NYU and Yale, as well as visiting faculty roles at institutions in Europe. Her research focuses on social policy, immigration, and European politics, with notable works on work-family policies and Medicare governance. Dr. Morgan's expertise spans comparative politics of Western Europe, immigration integration, and the interplay between religion and policy. She has co-authored influential books such as *The Delegated Welfare State* (2011) and edited major handbooks like the *Oxford Handbook of the Welfare State* (2021). Her teaching includes courses on comparative politics, European policy, and immigration studies. Her recent research explores topics such as Medicare Advantage reforms, childcare policy, and the enforcement mechanisms in immigration systems. While no specific awards are listed in the provided text, her extensive publications reflect significant contributions to social policy analysis. Her work bridges academic rigor with practical policy insights, emphasizing governance, marketization, and comparative institutional frameworks.
Youssef TLICHE is an Assistant Professor in Supply Chain Management and Logistics at EM Normandie, where he has been since 2021. He previously held an assistant professorship at Université Le Havre Normandie (2019–2020). He serves as Academic Director of the Graduate programs in Supply Chain Logistics Innovations. He holds a PhD in Management Sciences from Université Le Havre Normandie (2020) and an Engineering degree in Statistics and Data Analysis from ESSAI Tunis (2015). His research focuses on quantitative methods in supply chain management, including collaborative forecasting, decentralized supply chain optimization, and blockchain applications. He also explores decarbonization strategies in maritime logistics and the impact of AI on e-commerce. Key contributions include work on demand inference, inventory optimization, and blockchain in finance. His recent articles address topics such as AI-driven recommendation systems, wind-powered vessel financing, and Industry 4.0’s impact on supply chain vulnerability. No scientific awards are listed. His advising and grant activities remain unspecified in the provided text.
Joel Hartter is a Professor in the Department of Environmental Studies at the University of Colorado, where he also served as the founding director of the Masters of the Environment and Outdoor Recreation Economy programs. With dual BS degrees in Mechanical Engineering and German from the University of Michigan, an MS in Forest Engineering from Oregon State University, and a PhD in Geography from the University of Florida, his expertise bridges sustainability science, policy, and practice. His research focuses on private sector engagement in sustainability, ESG frameworks, climate action, and the Sustainable Development Goals (SDGs), with particular attention to net-zero strategies, bioeconomy implementation, and nature-based solutions. Dr. Hartter’s work emphasizes stakeholder engagement, inclusive decision-making, and bridging science with practical applications in conservation, climate resilience, and economic development. He has led projects globally in Africa, South America, and the US, addressing challenges such as wildlife conservation, sustainable supply chains, and community-based natural resource management. As a National Geographic Explorer and advisor to Fortune 500 companies, NGOs, and governments, he integrates sustainability into organizational strategies to drive innovation and competitive advantage. His teaching reaches over 20,000 students annually through courses on sustainability leadership and workforce development. Dr. Hartter’s interdisciplinary approach combines geospatial analysis, participatory methods, and behavioral science to address complex socio-ecological issues. His research spans topics like climate migration, household vulnerability, and the impact of conservation policies on communities. Notable projects include studying land-use changes in Uganda’s Albertine Rift and evaluating the effects of oil exploration on protected areas in Murchison Falls Conservation Area. Dr. Hartter collaborates closely with communities, governments, and international organizations to create equitable, actionable sustainability solutions.
Aaron Maxwell is an Associate Professor in the Department of Geology and Geography at West Virginia University (WVU). He serves as the principal investigator of West Virginia View, a member of AmericaView, and director of the WV GIS Technical Center. His research focuses on spatial predictive modeling, geohazard mapping, machine/deep learning applications in remote sensing, and thematic map accuracy assessment. He holds degrees from Alderson Broaddus University (B.S. in Biology, Chemistry, Environmental Science) and WVU (M.S. and Ph.D. in Geology), with a GIS Professional (GISP) certification. Education: Bachelor of Science in Biology, Chemistry, and Environmental Science – Alderson Broaddus University Master of Science in Geology – West Virginia University Doctor of Philosophy in Geology – West Virginia University Research Interests: Dr. Maxwell’s work emphasizes computational methods to extract insights from geospatial data. Key areas include: Deep learning for geomorphic feature extraction (e.g., LIDAR-based semantic segmentation) Machine learning applications in forest fuel load estimation and slope failure modeling Best practices for assessing deep learning outputs in remote sensing Synthetic data generation for predictive modeling Community flood resiliency and participatory GIS Publications: His recent work highlights advancements in geospatial deep learning (e.g., the geodl R package), accuracy assessment metrics for imbalanced datasets, and modeling post-mining landscape evolution. Articles often blend theoretical frameworks with applied case studies across environmental and geotechnical domains. Grants & Funding: Supported by NSF (CAREER Award) and AmericaView, his work trains students and develops open-source geospatial tools. Current projects include synthetic forest stand modeling and flood resiliency initiatives. Labs & Teams: Leads WV View, fostering remote sensing education and data sharing. Collaborates on geospatial workforce development and open-source software initiatives (e.g., GIScience courses, ArcGIS Pro labs).
Ravi Seshadri is an Associate Professor in the Transport Division at the Department of Technology, Management and Economics, Technical University of Denmark (DTU). His research focuses on designing equitable, efficient, and sustainable mobility solutions with a focus on fiscal instruments like congestion pricing and tradable permits, as well as emerging mobility modes such as shared and demand-responsive transit. He employs methods from transportation network equilibria, dynamic traffic assignment, and agent-based simulation. His research interests span transportation economics, urban planning, and intelligent transportation systems. Key areas include evaluating the impacts of automated mobility-on-demand systems, optimizing tolling strategies using predictive control and reinforcement learning, and integrating multi-modal transportation networks through game-theoretical frameworks. His work emphasizes real-world applications in urban freight systems, e-commerce logistics, and sustainable urban mobility policies. Recent projects include studying congestion pricing schemes via agent-based microsimulation, analyzing behavioral responses to decarbonization policies, and developing frameworks for tradable credit systems with peer-to-peer trading. He has contributed to both theoretical advancements (e.g., robust traffic assignment models) and applied tools like the SimMobility simulation platform. Ravi's research demonstrates a strong focus on bridging transportation engineering with policy analysis, using cutting-edge computational methods to address complex urban mobility challenges. His work spans academic publications, industry collaborations, and policy consultations to advance sustainable transportation systems.
Jakub Macina is a Doctoral Fellow at the ETH AI Center and a PhD Candidate at ETH Zürich . He works in the intersection of Natural Language Processing and Learning Sciences as part of the Language, Reasoning and Education Lab (led by Prof. Mrinmaya Sachan) and the Professorship for Learning Sciences and Higher Education (led by Prof. Manu Kapur). Forbes 30 Under 30 in Science & Education 2023 Recipient of ETH AI Center Fellowship ( Co-founder of a health-tech startup with seed investment Research Interests : Focus on generative large language models (LLMs), dialogue tutoring systems , pedagogical alignment of AI models, and mathematical reasoning . His work explores: Reinforcement learning for pedagogical steering LLM evaluation frameworks Socratic question generation Stepwise error detection and remediation Student-teacher interaction modeling Publications span top conferences like EMNLP , ACL , NeurIPS , and RecSys , with particular emphasis on educational applications of LLMs and dialogue-based learning systems . Scientific Awards : Forbes 30 Under 30 in Science and Education (2023) 2nd Place in ACM IT SPY Computer Science Master's Thesis Competition (2017) ETH AI Center Fellowship (2021) Leadership & Teaching includes: Managing team of 6 data scientists Teaching Assistant for Machine Learning and NLP courses at ETH Zurich Developing large-scale ML pipelines for recommender systems Open-source contributions to Discourse and Google Summer of Code projects
Prof. Dr. Kerstin Mayrberger is a Professor for Teaching and Learning at the University of Hamburg's Faculty of Education, specializing in Media Didactics at the Hamburg Center for University Teaching and Learning (HUL). She focuses on Digital Transformation in Higher Education, Agile Educational Leadership, and Open Educational Practices (OEP). Her work bridges theory and practice, emphasizing participatory approaches and institutional agility. Educationally, she holds a Dr. phil. from Hamburg University (2006) and has held academic positions since 2009, including roles at the Universities of Augsburg and Mainz. She is currently Chair of the BMBF's OER Strategy Advisory Board and has led major projects like the Hamburg Open Online University (HOOU). Her research explores digital didactics, open education, and leadership in education. Key interests include Ambidextrous Agile Educational Leadership (AAEL), which integrates stability and innovation in educational contexts. She has authored influential books such as Partizipative Mediendidaktik (2019) and Agile Educational Leadership (2021). Awards include the GEW Förderpreis (2000) for academic excellence. She advises on national education policies and chairs committees for OER strategies. Her work spans grants from BMBF, DAAD, and European initiatives, emphasizing digital equity, teacher professionalization, and educational innovation. She leads the HUL, coordinates international collaborations, and contributes to initiatives like the United Nations' Education 2030 agenda. Her labs and teams focus on OER development, digital pedagogy, and educational leadership frameworks.
Alva L. Couch is an Associate Professor at Tufts University's School of Engineering, Department of Computer Science, with a career spanning over 30 years. His work bridges network/system administration, autonomic computing, and hydrologic data science, focusing on scalable solutions for data management and automated system administration. Education: Ph.D. in Mathematics (1988), B.S. in Architecture (1978), and B.A. in Bassoon/Contrabassoon Performance (1978). Research Interests His research centers on: Network and System Administration: Tools like SLINK, Maelstrom, and Babble for dependency analysis, cloud migration, and policy enforcement. Geo-informatics: MEDFORD metadata language and HydroShare platform for hydrologic data curation and discovery. Autonomic Computing: Promise theory, convergent operators, and closure models for self-managing systems. Recent Work Trends His 2024-2018 publications emphasize: Cloud-based hydrologic data management (AnVILMEDFORD, HydroShare) Metadata standards for interdisciplinary research Machine learning for system administration Agent-based resource sharing models Scientific Awards Liebner Teaching Award (1996) Seymour Simches Advising Award (2017) Best Paper Awards: LISA 1996, AIMS 2008, LISA 2001 LISA 2000 Best Student Paper (with Michael Gilfix) Contributions He developed key software like Peep (network auralization) and Slink (configuration management), supported by NSF grants and industry partnerships. His work with CUAHSI's Water Data Center shapes national hydrologic data infrastructure. He also advocates for science education and privacy in computing.
Miloš N. Mladenović is an Associate Professor at the Spatial Planning and Transportation Engineering Group , affiliated with the Department of Built Environment under the School of Engineering at Aalto University. He also serves as a Vice Dean and leads the MSc program Sustainable Urban Mobility Transitions . His work bridges academic research and practical policy, with a focus on governance and ethical dimensions of emerging mobility technologies. Education: BSc in Transport Engineering, University of Belgrade MSc and PhD in Civil Engineering, Virginia Tech His research centers on: Societal Impact of Emerging Mobility Technologies , such as Mobility as a Service and automated vehicles Decision-Support Systems for urban transport planning Sustainable Transportation and accessibility frameworks Ethics in Transport Policy , including projects like EVA-HEL (electric scooters) and BATS (mobility solutions) Analysis of his recent publications shows: Development of open-source models for urban transport equity Focus on cultural governance in Finland Interdisciplinary approaches combining social sciences and engineering Scientific Recognition: 2024 Moshe Givoni Prize from Transport Reviews 2024 Linkki Pin Permit award Academic Leadership: Editorial Board Member, European Transport Research Review (2019-2024) Organizing Chair, Aalto University Summer School on Transportation (ASTRA) His work connects directly with the United Nations Sustainable Development Goals for sustainable cities and climate action.
