Jim Torresen is a Professor at the Norwegian University of Science and Technology (NTNU), specializing in Computer Science, Artificial Intelligence, and Robotics. He earned his M.Sc. and Dr.ing. (Ph.D.) in computer architecture and design from NTNU in 1991 and 1996 respectively, followed by industry experience in hardware design before transitioning to academia in 1999. Research Interests: His work spans Machine Learning, Evolvable Hardware, and Ethical AI, with notable contributions to music technology, facial expression recognition, and healthcare monitoring systems. He actively explores interdisciplinary applications of AI in creative domains and clinical environments. Publications & Editorial Roles: Torresen has published extensively in journals like Frontiers in Artificial Intelligence and Genetic Programming and Evolvable Machines . He serves as a Topic Editor for Frontiers in Explainable AI and has editorial roles in robotics and biomedical AI domains.
Kathleen M. Carley is a full professor at Carnegie Mellon University's School of Computer Science with courtesy appointments in Engineering and Public Policy, Heinz School, and Electrical and Computer Engineering. As director of the Center for Computational Analysis of Social and Organizational Systems (CASOS) and the Center for Informed Democracy and Social-Cybersecurity (IDeaS) , she leads interdisciplinary research at the intersection of network science, cognitive modeling, and cybersecurity. Ph.D. in Sociology from Harvard University SB degrees in Economics and Political Science from MIT Her research focuses on Dynamic Network Analysis (DNA) and Social-Cybersecurity (SC) , developing tools like ORA (network analysis), AutoMap (semantic mining), Construct (influence simulation), and BotHunter (bot detection). She has over 400 publications and 15+ active research projects addressing disinformation, cognitive security, and organizational resilience. Recent work examines LLM-powered bots , multi-platform misinformation dynamics , and public health analytics . As an IEEE Fellow, she contributes to standards in computational social science while teaching courses on network analysis and complex socio-technical systems.
Cornelia Betsch serves as Director of the Institute for Planetary Health Behaviour (IPB) at the University of Erfurt, where she holds a professorship in Health Communication within the Faculty of Philosophy. She is responsible for the Master's program in Health Communication through the Department of Media and Communication Studies and leads the Health Communication Working Group at the Bernhard Nocht Institute for Tropical Medicine in Hamburg as an external position. Her interdisciplinary work bridges behavioral science, psychology, and public health to address critical global challenges. Habilitation (2006), University of Erfurt: 'The role of risk perception and risk communication in prevention decisions – the example of vaccination decisions' PhD (Dr. phil., summa cum laude, 2006), University of Heidelberg: 'Preference for intuition and deliberation– measurement and consequences of affect- and cognition based decision making' Diplom in Psychology (2002), University of Heidelberg Betsch's research focuses on understanding health and planetary health behaviors, particularly examining vaccination behavior, prudent antibiotic use, and climate-friendly actions. Her work extends globally, with investigations in various African countries on vaccination and antibiotic practices. She pioneered the influential COVID-19 Snapshot Monitoring (COSMO) and subsequently developed the Planetary Health Action Survey (PACE), large-scale studies that regularly track public knowledge, risk perception, protective behaviors, and trust during crises. Her research emphasizes applying behavioral and cultural insights to design effective policy frameworks and explanatory communication that promotes positive health behaviors. The 15 most recent articles showcase Betsch's research evolution toward integrating behavioral science with planetary health, climate action, and vaccine communication. Her work increasingly examines the psychological foundations of climate behavior while maintaining her established expertise in vaccine hesitancy and antimicrobial resistance. Recent publications demonstrate methodological diversity, including systematic reviews, meta-analyses, survey experiments, and large-scale monitoring datasets that bridge academic research with practical policy applications. German Psychology Prize (2021) Thuringian Research Prize (2022) Betsch has secured research funding from independent research organizations, ministries, and foundations to support her work on health communication and planetary health behavior. She serves as a scientific advisor to multiple organizations including the WHO Technical Advisory Group on Behavioral and Cultural Insights, Science Media Center Germany, and Museum für Naturkunde Berlin. At the Bernhard Nocht Institute for Tropical Medicine, she established the WHO Collaborating Center for Behavioral Research in Global Health, demonstrating her commitment to translating research into global health practice. Her engagement extends to policy advising, having served on the Corona Expert Council of the Federal Chancellery during the pandemic. As Director of the Institute for Planetary Health Behaviour, Betsch leads an interdisciplinary team applying social and behavioral science perspectives to planetary health and the climate crisis. The institute serves as a hub for research, education, and science communication at the intersection of human health and environmental sustainability. Her work through the IPB emphasizes Open Science principles and aims to understand the comprehensive factors influencing climate-friendly behavior to identify effective intervention points for policy development.
Dr. James W. Navalta is an Associate Professor in the Department of Kinesiology and Nutrition Sciences at the University of Nevada, Las Vegas. His research focuses on physiological responses to outdoor exercise (hiking, trail running) and the validity/reliability of wearable technology. He earned his B.S. in Physical Education and Biology from Brigham Young University–Hawaii, M.S. in Kinesiology from UNLV, and Ph.D. in Exercise Physiology from Purdue University. Education: B.S. - Physical Education & Biology, Brigham Young University–Hawaii M.S. - Kinesiology, University of Nevada, Las Vegas Ph.D. - Exercise Physiology, Purdue University His research portfolio includes: Wearable technology validation for physiological measurements Comparative studies of indoor vs outdoor exercise environments Impact of gender-inclusive approaches on sports science Metabolic and cardiovascular responses to unconventional workouts Psychological benefits of nature immersion Recent publications demonstrate expertise in: Wearable device accuracy testing VO2max and lactate threshold validation Environmental influence on exercise physiology Methodological improvements in data collection Gender-inclusive research design Outdoor activity impact assessment As co-founder and executive editor of the International Journal of Exercise Science, he contributes significantly to academic discourse. He also serves on editorial boards for journals related to digital health and exercise technology.
Magali (Maggie) Delmas is a Professor of Strategy at the UCLA Anderson School of Management and the UCLA Institute of the Environment & Sustainability. She serves as Faculty Director of the UCLA Anderson Center for Impact, leading the Open for Good Initiative, which aims to make corporate sustainability data more transparent and actionable. Additionally, she directs the UCLA Center for Corporate Environmental Performance and previously served as President of the Alliance for Research in Corporate Sustainability (ARCS). Professor Delmas received her Ph.D. in Strategic Management from HEC Paris and an M.A. in Political Science from the University of Paris. Her academic journey has positioned her at the intersection of business strategy and environmental sustainability, where she has built a distinguished career examining how corporations can effectively integrate sustainability into their core operations. Dr. Delmas's research focuses on corporate sustainability strategy, climate-related disclosure, and the design of effective information strategies to promote conservation behavior and build green markets. She has authored over 100 articles, book chapters, and case studies that explore energy conservation, eco-labeling, climate lobbying, and the detection and prevention of corporate greenwashing. Her work particularly examines how behavioral interventions can effectively motivate sustainable practices, as demonstrated in her large-scale UCLA Engage program that used real-time energy feedback to uncover conservation strategies. Her research spans multiple disciplines, connecting business strategy with environmental science, behavioral economics, and policy analysis. A notable trend in her recent work involves the examination of how transparency in corporate sustainability reporting affects business practices and environmental outcomes. She has made significant contributions to understanding the relationship between eco-certification and product quality, particularly in the wine industry, where her research has shown that organic wines often receive higher quality ratings. Distinguished Scholar Award, Academy of Management/ONE Division Best Book Award, Academy of Management/ONE Division (The Green Bundle) Research Impact on Practice Award, Academy of Management & Network for Business Sustainability (two-time recipient) 2019 Academy of Management/Organization and the Natural Environment Best Book Award 2016 Organization & Environment Journal Best Paper Award Multiple additional awards spanning environmental economics, wine economics, and sustainability research Professor Delmas actively mentors doctoral students interested in strategy, corporate sustainability, environmental policy, and climate-related disclosure. Her students gain hands-on experience with unique datasets from the Open for Good Initiative and engage in interdisciplinary work across UCLA's Institute of the Environment & Sustainability. Her PhD students have pursued successful careers in both academia and policy roles, continuing to advance scholarship and practice in sustainability and strategy. She has secured significant research funding for projects examining energy conservation behavior, corporate sustainability reporting, and the effectiveness of environmental labels. As Faculty Director of the UCLA Anderson Center for Impact, she oversees the Open for Good Initiative, which produces the annual State of Corporate Sustainability Disclosure report. This initiative has become a critical resource for policymakers, investors, and business leaders seeking to understand corporate climate and environmental reporting practices. Her leadership also extends to the UCLA Center for Corporate Environmental Performance, where she coordinates research examining the relationship between environmental management and business performance.
Luís Miguel Mendonça Rato is an Associate Professor at the Universidade de Évora and a Senior Researcher with a PhD at Centro ALGORITMI. He is affiliated with the CST R&D Group and VISTA Lab R&D Lab, focusing on interdisciplinary research at the intersection of Electrical Engineering, Computer Science, and Agricultural/Biomedical applications. Academic Degree: PhD Current Position: Associate Professor Labs: VISTA Lab Researcher IDs: ORCID 0000-0003-4492-7548, ResearcherID A-9152-2013, CiênciaID A914-6344-CD2D His research spans machine learning applications in Agricultural Engineering (Sentinel-2 satellite data for nutrient analysis), Biomedical Imaging (MRI-ADC texture analysis for tumor classification), and Control Systems (predictive control algorithms for water delivery canals and solar fields). With an h-index of 11 and 51 publications, his work emphasizes hybrid systems combining traditional engineering with computational innovation. Recent publications highlight trends in SLAM efficiency (2024), cloud service optimization (2022), and deep learning for medical imaging (2022-2023). He has contributed to Smart Cities initiatives through projects like M-Traffic (2006) and NanoSen-AQM (2020). As a senior researcher, he leads projects in the CST R&D Group and VISTA Lab , with notable work in the Universidade de Évora ecosystem.
Prof. Dr. Michael Amberg is a full-time Professor of Business Informatics, specializing in IT Management, at Friedrich-Alexander University Erlangen-Nuremberg (FAU) . He has held this chair since 2001 and serves as director of the Dr. Theo and Friedl Schöller Research Center for Business and Society since 2010. Formerly, he occupied a professorship at RWTH Aachen University (1999–2001) and served as Vice Dean and Dean of FAU's Faculty of Law and Economics (2007–2012). Education: Computer Science at RWTH Aachen and FAU Erlangen-Nuremberg (1989) Research Focus: Systems development, IT management, and digitalization trends including AI, Industry 4.0, and smart services Leadership Roles: Spokesperson for the Department of Business and Social Sciences, Dean of Faculty (2007–2012), Research Center Director (since 2010) Key Collaborations: Interdisciplinary work with FAU's digitalization and innovation research cluster His recent publications address Explainable AI (XAI) integration into software development (2023) and human-centric work design in SMEs during Industry 4.0 transformations (2018). Current research emphasizes empirical methodologies for IT governance in digital ecosystems.
Dr. Mattia Andreoletti is a Lecturer at the Department of Health Sciences and Technology at ETH Zurich, working within the Professorship for Bioethics. His research spans philosophy of medicine and bioethics, with a focus on the ethical dimensions of AI in healthcare, dementia policy, drug regulation, and clinical reasoning. PhD from the European School of Molecular Medicine (SEMM), affiliated with the European Institute of Oncology (IEO, Milan) ORCID: 0000-0003-1880-0770 His work intersects with clinical ethics, particularly examining replicability in scientific research, evidential pluralism in drug regulation, and the ethical landscape of digital biomarkers. He contributes to courses such as Ethics in Drug Development and Ethics Workshop: The Impact of Digital Life on Society . The 15 most recent articles (2025-2023) highlight his engagement with AI ethics, dementia prevention, regulatory science, and clinical reasoning. Topics include ethical frameworks for digital biomarkers, evidential pluralism in drug approval, and philosophical foundations of rehabilitation sciences.
Joost de Moor is an Assistant Professor in Political Science at Sciences Po’s Centre for European Studies and Comparative Politics (CEE) . His research bridges Environmental Politics , Social Movements , and Political Participation , with a focus on climate activism, lifestyle politics, and post-political strategies. He holds a PhD in Social Sciences: Political Science from the University of Antwerp (2016) and has held postdoctoral positions at Keele University (2016-2018) , Stockholm University (2018-2021) , and Leiden University (2021) . A visiting scholar at the University of Mannheim (2015) , his work spans urban environmentalism, climate summit dynamics, and strategic movement adaptation.
Charles Walter is an Assistant Professor of Computer and Information Science at the University of Mississippi, joining in Fall 2019. He holds a PhD in Computer Science from The University of Tulsa (2018), with prior degrees from the same institution (M.Sc 2016; B.S. 2014). His research focuses on Mobile and Wearable Security, Adversarial Machine Learning, Privacy, Malware Analysis, Fog Computing, and Self-Adaptive Systems. He leads the SPARC Lab, exploring cutting-edge topics like data privacy, malware detection, and security in fog computing environments. Education: B.S. Computer Science, University of Tulsa (2014) M.Sc Computer Science, University of Tulsa (2016) Ph.D. Computer Science, University of Tulsa (2018) Research Interests: His work addresses critical challenges in cybersecurity, including securing low-power wearable devices through fog computing architectures, developing adversarial machine learning defenses, and investigating human factors in code trustworthiness. Recent projects include studying privacy threats in diffusion models and creating frameworks for robust stability estimation in AI systems. Lab Activities: The SPARC Lab actively researches topics such as adversarial ML attacks, privacy-preserving video processing, and adaptive system security. Collaborative efforts focus on real-world applications like improving university transportation systems through smart bike rental programs.
Lynn Wu is an Associate Professor at the Wharton School of the University of Pennsylvania, focusing on the intersection of artificial intelligence, analytics, and innovation. She teaches MBA, undergraduate, and doctoral courses on emerging technologies' transformative impact on business and society. Education: B.S. in Finance and Computer Science, MIT M.S. in Computer Science, MIT Ph.D. in Management Science, MIT Sloan Her research explores how AI and digital platforms reshape productivity, workforce dynamics, and innovation strategies, with applications in antitrust policy and startup ecosystems. Key trends in her publications include AI's role in post-IPO innovation, robotics' impact on managerial roles, and social media's ability to mitigate funding disparities. Scientific Awards: Kauffman Best Paper Award (2019) Sandy Slaughter Early Career Award (2019) AIS Early Career Award (2018) ISR Best Published Paper (2014) Best Paper Awards at ICIS (2009), HICSS (2013), etc. She has collaborated with IBM, Google, Meta, and advised the U.S. Department of Justice and World Bank, with her work cited by The New York Times , The Economist , and Harvard Business Review .
Barbara Plank is a full professor and chair for AI and Computational Linguistics at Ludwig Maximilian University of Munich (LMU), where she heads the Munich AI and NLP (MaiNLP) lab and co-directs the Center for Information and Language Processing (CIS). She additionally serves as a visiting full professor at the IT University of Copenhagen, maintaining active dual institutional affiliations in computational linguistics and NLP research. Her research focuses on human-centric natural language processing challenges, particularly learning under sample selection bias (domain adaptation, transfer learning) and annotation bias, learning with limited data through continual/semi-supervised/weakly-supervised methods, multimodal learning at language-vision-speech interfaces, and fortuitous supervision for variety-space aware language understanding. She pioneers methodologies addressing human label variation as a critical factor in model robustness rather than mere noise. Recent publications (2024-2025) reveal dominant trends in modeling human label variation across NLP tasks, especially natural language inference and entity recognition, alongside dialectal language processing and LLM evaluation frameworks. Her work systematically investigates how human disagreement in annotations can be leveraged to build more robust, adaptable systems rather than treated as errors. Scientific recognition includes: ERC Consolidator Grant for the DIALECT project advancing natural language understanding for non-standard languages and dialects ACL 2024 Area Chair Award for the paper 'VariErr NLI: Separating Annotation Error from Human Label Variation' Leading the MaiNLP lab at CIS (LMU), she directs research integrated with MCML (Munich Center for Machine Learning), Munich Intelligent Robotics, ELLIS Unit Munich, UniDive, and COST action. Current projects include ERC-funded DIALECT and KLIMA-MEMES, focusing on human-facing NLP solutions for real-world language diversity challenges. She actively shapes the field through ACL leadership as VP-Elect and numerous keynotes emphasizing human-centric approaches. The MaiNLP lab at Akademiestr. 7, 80799 Munich, drives innovation in computational linguistics through interdisciplinary collaboration, maintaining strong ties with European research networks while developing practical applications for language variation and robust NLP systems. The lab's work directly informs her teaching in LMU's Computational Linguistics programs, bridging research and education in cutting-edge NLP methodologies.
Steff Lewis is a Professor of Medical Statistics at the University of Edinburgh , affiliated with the Usher Institute within the College of Medicine and Veterinary Medicine . She leads the statistics group at the Edinburgh Clinical Trials Unit and holds roles in the Deanery of Molecular, Genetic and Population Health Sciences . Her expertise spans meta-analysis, randomized trial design, and clinical trial governance, with involvement in Cochrane Collaboration and UK Clinical Research Collaboration initiatives. Education: MSc and PhD in Medical Statistics. Research Interests: Focuses on methodological advancements in clinical trial reporting (e.g., CONSORT and SPIRIT guidelines), cardiovascular outcomes (e.g., SCOT-HEART trial), stroke prevention (ASPIRING trial), and ethical data management. She actively contributes to international standards for trial protocols, anonymization practices, and statistical validation. Recent Contributions: Over 200 peer-reviewed articles and 37 ongoing projects, including leadership in trials assessing antiplatelet therapies, Paget’s disease interventions, and pediatric asthma treatments. Collaborates globally on guidelines for randomized trials and data-sharing protocols. Grants & Teams: Principal or co-investigator on projects funded by NIHR, BHF, and ESRC, including trials on iron therapy in critical care (INTACT-2) and cannabinoid treatments for endometriosis pain (ENDO-CAN). Leads multidisciplinary teams integrating statistical rigor with clinical innovation. Labs/Teams: Embedded within the Edinburgh Clinical Trials Unit and the Centre for Population Health Sciences , fostering collaborative research across molecular, genetic, and public health domains.
Tianxi Li is an Assistant Professor in the Department of Statistics at the University of Minnesota, Twin Cities, within the College of Science and Engineering. Their research integrates statistical methodology with applications in network science, data privacy, and biomedical data analysis. Their research interests lie at the intersection of statistics and network science, focusing on statistical modeling of complex networks , data privacy , network security , and biomedical applications such as neuroimaging and genomics. They develop adaptive and scalable methods for network estimation, community detection, and differential correlation analysis. The recent publications demonstrate a consistent focus on advancing statistical tools for network-structured data, with increasing applications in neuroscience and cancer genomics. The work spans theoretical development (e.g., network growth models) and practical applications (e.g., glioblastoma gene modules), reflecting a balance between methodology and real-world impact. Tianxi Li leads an active research program funded by the National Science Foundation, indicating recognition and support for their innovative work. Principal Investigator, Statistical tools for network security protection: from data privacy to threat detection , NSF (2024–2025) They advise graduate students in statistics and data science, though specific advisees are not listed. Their collaborative network includes researchers in biostatistics, computer science, and machine learning, as evidenced by co-authorships and interdisciplinary projects. Li's work contributes to the UN Sustainable Development Goals, particularly through advancements in data-driven solutions for secure and ethical data analysis.
Dr Jonathan Cook is a Research Fellow at Jesus College, University of Oxford, affiliated with the Medical Sciences division. He holds a primary medical qualification from Queen’s University (Canada, 2021) and a PhD investigating viral immune evasion mechanisms under Prof Jeffrey Lee. His work was supported by the Vanier Canada Graduate Scholarship and recognized with the Stuart Alan Hoffman Memorial Prize. As an incoming Banting Fellow at the Jenner Institute, he focuses on vaccine design for infectious diseases. His research interests include malaria eradication, emerging pathogens, and structure-based vaccine strategies. **Education**: - PhD (Investigation of viral entry glycoproteins), University of Toronto, supervised by Prof Jeffrey Lee - Primary Medical Qualification, Queen’s University, Canada **Research Interests**: - Malaria Eradication : Developing vaccines targeting Plasmodium species. - Emerging Infectious Diseases : Designing rapid-response strategies for pathogens like SARS-CoV-2. - Structure-Based Vaccine Design : Leveraging protein structural data to enhance immunogenicity. **Awards**: - Vanier Canada Graduate Scholarships Programme (2017–2020) - Stuart Alan Hoffman Memorial Prize (2021) - Banting Fellowship (incoming) **Grants/Advising**: Works on Jenner Institute-funded projects. No listed advisees yet. **Labs/Teams**: Collaborates with Prof Lee's lab at the Jenner Institute and the University of Toronto's Medical Microbiology program.
