Dr. John K VanDyk is an Adjunct Assistant Professor at Iowa State University, affiliated with the College of Agriculture and Life Sciences and Department of Entomology. He manages the CALS/LAS Web Team and maintains BugGuide.net, a major online arthropod resource. His research bridges information technology and entomology, focusing on biodiversity databases, web development, and citizen science platforms. Educational background includes a PhD and MS from Iowa State University and BS from Dordt University. Digital Projects: BugGuide.net, ISU Sites service Technical Expertise: Drupal development, data systems architecture
Lisa Soder serves as Senior Policy Researcher and Acting Head of Technical AI Governance at Interface, a leading European tech policy think tank, and is an incoming Visiting Research Fellow at Stanford University's Intelligent Systems Laboratory within the School of Engineering. She holds a Master's degree from the London School of Economics focusing on comparative transatlantic approaches to technology regulation and competition law, and brings prior experience from the Centre for the Governance of AI, Boston Consulting Group, and global health NGO work in Ethiopia. Her research centers on establishing AI accountability infrastructures with particular emphasis on developing third-party auditing ecosystems and bridging technical and regulatory aspects of AI governance. She has developed a taxonomy for Technical AI Governance organized along technical targets (Data, Compute, Algorithms and Models, Deployment) and governance capacities (Assessment, Access, Verification, Security, Operationalization, Ecosystem Monitoring). Her work examines open problems across these dimensions, highlighting the critical need for technical tools to support effective AI governance. Analysis of her publications reveals a strong focus on practical implementation challenges in AI regulation, particularly regarding the EU AI Act's provisions for general-purpose AI systems. Her research consistently addresses the gap between policy aspirations and technical capabilities, with particular attention to verification mechanisms, risk assessment frameworks, and the development of technical infrastructure necessary for oversight. She advocates for closer collaboration between technical experts and policymakers to ensure governance mechanisms are both feasible and effective. Lisa has been actively engaged in high-level policy discussions, participating in events such as the AI Action Summit in Paris, Sino-German Track 2 Dialogues on AI governance, and expert briefings on frontier AI systems. Her upcoming visiting research fellowship at Stanford University represents a formal academic affiliation that complements her policy-focused work at Interface.
Prof. Alexander Pretschner is a Professor of Software & Systems Engineering at the Technical University of Munich (TUM) and Founding Director of the Bavarian Research Institute for Digital Transformation (bidt). He also serves as Scientific Director of fortiss, a Bavarian research institute for software-intensive systems. His research focuses on software engineering, testing, information security, and ethical software development. Pretschner holds a PhD from TUM and has held academic positions at Karlsruhe Institute of Technology (KIT) and TU Kaiserslautern. He is a co-editor of several prestigious journals, including IEEE Transactions on Reliability and the Journal of Software Testing, Verification and Reliability. Education: PhD in Computer Science, Technical University of Munich MSc in Computer Science, University of Kansas (on Fulbright Scholarship) Diplom in Computer Science, RWTH Aachen University Research Interests: His work spans testing methodologies, secure software design, and ethical considerations in agile development. Notable contributions include frameworks for metamorphic testing, distributed data usage control, and accountability mechanisms for cyber-physical systems. Awards: IBM Faculty Award (2012, 2013) Google Focused Research Award (2011, 2012) EARTO Innovation Prize (2014) 2nd Platz Supervisory Award (2020) Advising & Grants: Pretschner has supervised numerous PhD and Master’s students, contributing to over 200 publications. He leads projects like EDAP (Ethical Deliberation in Agile Processes) and collaborates with industry partners on cybersecurity and AI ethics initiatives. Labs & Teams: His work is anchored in bidt, fortiss, and TUM’s Chair of Software & Systems Engineering, focusing on societal impacts of digitalization and trustworthy AI systems.
Lily Chen is an Associate Professor at the Research School of Accounting within the ANU College of Business and Economics. She previously held positions at the University of Auckland Business School where she earned her PhD in Accounting (2013). Her research focuses on financial reporting, corporate governance, CSR, machine learning applications in accounting, and integrated reporting frameworks. Her work has been published in top journals like The Accounting Review and widely cited by regulatory bodies. Education: PhD in Accounting from the University of Auckland (2013). Professional Affiliations: Board member of Accounting and Finance Association of Australia and New Zealand, editor for Pacific Accounting Review, and editorial board member for Accounting and Finance and Meditari Accountancy Research. Research Interests: Combines traditional accounting topics with emerging technologies, particularly exploring machine learning applications in financial disclosure analysis. Her studies on institutional investor behavior and CSR governance have received significant industry attention. Awards: Multiple accolades including Research Excellence Awards from University of Auckland (2013), Teaching Excellence Awards, and Best Paper recognitions. Supervised 5 PhD, 8 Masters, and 8 Honours students. Teaching: Leads financial accounting courses for both undergraduate and postgraduate students. Active in curriculum development and postgraduate program administration.
Dr. Wahab Hamou-Lhadj is a Professor and Chair at the Department of Electrical and Computer Engineering , Concordia University, and an Affiliate Researcher at NASA JPL, Caltech . He leads research in Artificial Intelligence for IT Operations (AIOps) , Software Observability , and Model-Driven Engineering , focusing on improving the reliability of digital systems in AI-driven environments.
Vasileios Mavroeidis is an Associate Professor in Digital Security at the Department of Informatics, University of Oslo (UiO). He specializes in security automation and orchestration (SOAR) and cyber threat intelligence (CTI) representation, reasoning, and sharing. He actively contributes to European cybersecurity initiatives, including Horizon Europe, Connecting Europe Facility, and the European Defense Fund, and serves as the primary representative of UiO at the OASIS standards development organization since 2017. Role : Associate Professor Department : Digital Security (SEC), University of Oslo Standardization Involvement : Chairman of OASIS Threat Actor Context (TAC), Leading Contributor to CACAO and OpenC2 Projects : Concordia, CyberHunt, JCOP (Joint Cyber Security Operations Platform), Oslo Analytics, P4C (Partnership for Cybersecurity) His research focuses on cyber threat intelligence (CTI), exploring its taxonomies, sharing standards (STIX, CACAO), and ontologies, with contributions to the European Union Agency for Cybersecurity (ENISA) Cybersecurity Playbooks task force. He analyzes quantum computing's impact on cryptography, develops automated threat detection systems using machine learning (e.g., recurrent neural networks for malware-generated domains), and investigates privacy issues under GDPR. Recent publications highlight his work on LLMs for code stylometry , neurosymbolic AI for cyber defense , and knowledge management systems for CACAO playbooks . His articles span 2017–2025, emphasizing formal verification, biometric data protection, and incident response automation. He collaborates with organizations like OASIS (Threat Actor Context, CACAO, OpenC2) and FIRST (Traffic Light Protocol), and participates in European research projects. His work includes standardization efforts in cybersecurity playbooks , MITRE ATT&CK representation, and quantum-resistant cryptography .
Simon Stern is a Professor at the University of Toronto Faculty of Law, where he has taught since 2007, holding progressively senior positions from Assistant to full Professor since 2019. He serves as Chair in Innovation Law (2020-present) and Director of the Center for Innovation Law & Policy (2012-present). His research bridges legal doctrines with literary/intellectual history, focusing on legal fictions, the "reasonable man" standard, and intersections between law and sexuality. Ph.D. in English (UC Berkeley), J.D. (Yale), B.A. in English (Yale, magna cum laude) Editor-in-Chief of Yale Journal of Law & Humanities during law school Research interests include: law and literature, legal history, sexuality and the law, criminal law, and intellectual property. His work examines narrative techniques in legal reasoning, evidentiary standards, and historical evolution of legal concepts through literary frameworks. Recent publications analyze legal fictions, reasonable person standard evolution, and 19th-century tort law narratives. He co-edits Oxford University Press' Law and Literature series and the New Rambler Review. 2012 SLS Partnership Award for student advocacy 2023-2026 President of academic organization Serves on SSHRC Insight Grants Committee and multiple editorial boards
Simone Fior is a Lecturer at the Department of Environmental Systems Science , ETH Zürich , focusing on ecological genetics and plant adaptation. Their research integrates genomic, quantitative genetics, and ecological field experiments, particularly on Dianthus (Caryophyllaceae) along altitudinal and climatic gradients. Recent work explores climate-induced range shifts, local adaptation, and genomic responses to environmental changes. Professional experience includes roles at ETH Zürich since 2013 (Senior Assistant, Postdoc) and prior positions at the Edmund Mach Foundation (2009-2012) and University of Insubria (2007-2008). Education spans a PhD in Plant Biology (University of Milan, 2007) and an MSc in Natural Sciences (University of Milan, 2003). Simone co-organizes the Bioinformatics for Adaptation Genomics Winter School . Key research areas include adaptive divergence , polygenic adaptation , climate change biology , and phylogenomics . Articles emphasize genomic selection signatures, functional-structural modeling, and ecological-genetic interactions. Notable collaborations involve Jake Alexander, Alex Widmer, and interdisciplinary teams at ETH Zurich.
Todd A. Alonzo is a Professor of Research in the Department of Preventive Medicine at the University of Southern California . As Group Statistician for the Children's Oncology Group , he focuses on statistical methods for biomarker analysis, medical diagnostic testing, and clinical trial design in pediatric acute myeloid leukemia (AML). Education: B.S. in Statistics, California State Polytechnic University (1994) MS and PhD in Biostatistics, University of Washington (1997, 2000) Research Interests include: Development of statistical frameworks for diagnostic accuracy Genomic and proteomic profiling in AML Pharmacogenomic score systems for chemotherapy response Non-inferiority trial design in low-event-rate settings Health disparities in pediatric oncology Scientific Awards : Fellow, American Statistical Association (2018) Outstanding Teacher Award, International Society for Magnetic Resonance in Medicine (2017) NIH Predoctoral Cardiovascular Biostatistics Training Grant (1995) ENAR Biometrics Society Distinguished Student Paper Award (1999) WNAR Biometrics Society Best Student Oral Presentation (1999) Leadership & Service includes editorial board memberships (Biometrics, Pediatric Blood & Cancer, Biometrical Journal), reviewer for 30+ scientific journals, and roles on multiple Data Safety and Monitoring Boards. He served as President of the International Biometric Society Western Northern America Region (WNAR) in 2009.
Abigail Jacobs is an Assistant Professor at the University of Michigan , jointly appointed in the School of Information and the College of Literature, Science, and the Arts . She is also affiliated with the Center for Ethics, Society, and Computing (ESC) and the Michigan Institute for Data Science (MIDAS) . Education: PhD in Computer Science, University of Colorado Boulder (2015-2019) BA in Mathematical Methods in the Social Sciences and Mathematics, Northwestern University (2011-2015) Research Interests: Dr. Jacobs examines measurement and validity in machine learning , focusing on hidden assumptions in AI systems, governance structures in sociotechnical systems, and inequality in algorithmic design. Her work bridges AI, data science, and social science methodologies, emphasizing interdisciplinary collaboration. Recent Publications (2024-2025) explore generative AI evaluation, algorithmic transparency in government (e.g., US Census Bureau), motion capture data ethics, and sociotechnical frameworks for AI governance. Earlier works (2023) address fairness in ranking systems and racial categorization in algorithmic bias studies. Scientific Awards: Microsoft Research AI & Society Fellowship (2024) NSF Graduate Research Fellowship (during PhD) Advising & Grants: She co-advises Ph.D. students Amina Abdu and Meera Desai . Her research includes a Notre Dame-IBM Tech Ethics Lab grant on AI audits and collaborations with institutions like UC Berkeley, Microsoft Research, and the National Academies .
See Kiong Ng serves as Professor of Practice in the Department of Computer Science at the School of Computing, National University of Singapore (NUS), while concurrently holding leadership roles as Director of AI Technology at AI Singapore and Deputy Director of NUS's Institute of Data Science (IDS). His work focuses on translational data science research and developing integrated capabilities for Singapore's Smart Nation initiative through industry and public agency collaborations. His academic credentials include a B.S. in Applied Mathematics (Computer Science Track) from Carnegie Mellon University (1989), an M.S.E. in Computer & Information Science (Artificial Intelligence) from the University of Pennsylvania (1990), and a Ph.D. in Computer Science from Carnegie Mellon University (1998), supported by Singapore's National Computer Board overseas scholarship. Professor Ng's research bridges artificial intelligence with real-world applications across diverse domains. His primary interests span Data Mining, Machine Learning, Natural Language Processing, Smart Cities, and Computational Biology, with emphasis on extracting value from big data through interdisciplinary approaches. He actively pioneers applications in urban systems and bioinformatics, demonstrating data science's transformative potential beyond traditional boundaries. His publication record reveals consistent innovation in algorithm development for complex data challenges, with recent work focusing on taxonomy construction, single-cell genomics analysis, urban transportation systems, and imbalanced time series classification. These contributions demonstrate his commitment to solving practical problems through cutting-edge data science techniques. His major recognitions include: MTI Borderless Award (2014) as Green Growth Working Group project member Minister for National Development's R&D Award 2017 (Distinguished Award) for city-level analytics platform innovation A*STAR Borderless Award (2014) as Urban Systems Initiative team leader MTI Innovation Award (2013) for Strategic Technology Translation in Business Analytics Professor Ng has established significant research infrastructure including founding A*STAR's Data Analytics Department and leading the Urban Systems Initiative. His translational research model emphasizes industry partnerships and practical implementation, particularly in smart city development where he connects data science with urban planning challenges across Singapore's government agencies.
Dr. Vasileios Stavropoulos is the Associate Dean, Higher Degree Research at RMIT University's Department of Health and Biomedical Sciences. His research focuses on behavioral addictions, digital phenotyping, and the psychological impacts of digital media, particularly in gaming and social media contexts. He supervises numerous research projects addressing topics like cyber-phenotyping via text mining, disordered gaming, and the interplay between digital media and mental health. Key research interests include the psychological mechanisms underlying problematic gaming and social media use, network analysis of addiction symptomologies, and the role of user-avatar bonds in behavioral disorders. His work integrates machine learning and behavioral science to predict and analyze addictive behaviors. Dr. Stavropoulos has published extensively on gaming disorder, social media addiction, and the mental health implications of digital media use. His collaborations span clinical psychology, public health, and computational methods, reflecting his interdisciplinary approach to addressing modern behavioral challenges. He is actively engaged in higher degree research governance at RMIT, overseeing doctoral programs and fostering innovation in research methodologies. His contributions include developing scales for measuring addiction behaviors and advancing longitudinal studies on mental health correlations with digital engagement.
C. (Chengyong) Xiao is an Associate Professor of Sustainable Supply Chain Management at the University of Groningen's Faculty of Economics and Business. He holds a BSc in Management Science from the University of Science and Technology of China (2010) and a PhD in Operations Management from the University of Groningen (2019). His research focuses on sustainable supply chains, particularly the extension of sustainability standards in global supply chains, corporate social responsibility, and social enterprises. Education: Bachelor's Degree: Management Science, University of Science and Technology of China (2010) PhD: Operations Management, University of Groningen (2019) Research Interests: Global supply chain sustainability Supplier sustainability capability development Corporate social responsibility and stakeholder engagement Case study and mixed-method research methodologies Awards: Chan Hahn Best Paper Award (2020 AOM Conference) Teaching and Editorial Roles: Teaches courses including Global Supply Chain Management & Sustainability, Management Science, and Operations & Logistics Management Editorial board member of the Journal of Supply Chain Management and Journal of Operations Management Collaborations: Partnerships with multinational companies like Philips and Signify to study supply chain sustainability practices
Dr. Artin Backtash-Rad is a Senior Lecturer in Global Strategy & International Business at the Surrey Business School, University of Surrey, where he also serves as the Director of the MSc International Business Management programme. He holds a PhD in Global Strategic Management from Royal Holloway, University of London, an MBA in International Management from Carleton University, Canada, and a BSc in Industrial Management from the University of Tehran, Iran. He has held academic positions at University College London, Royal Holloway, Cardiff Metropolitan University, and the University of South Wales. BSc in Industrial Management, University of Tehran, Iran MBA in International Management, Carleton University, Canada PhD in Global Strategic Management, Royal Holloway, University of London Artin's research focuses on Global Strategic Management, with a particular emphasis on strategy implementation. His doctoral research involved a large-scale comparative study across 20 sectors in 20 countries, resulting in a comprehensive model for corporate-level strategy execution. His work integrates resource-based, industry, and institutional perspectives to develop a holistic theory of strategy implementation. He has conducted extensive research on barriers to implementation, supply chain strategies, manufacturing strategies, and transcontinental investments. His recent publications reflect a strong trend in developing taxonomies and theoretical models in strategic management, particularly in international and cross-sectoral contexts. He frequently presents at top-tier conferences such as the Academy of International Business (AIB), British Academy of Management (BAM), and Euro-Asia Management Studies Association (EAMSA), with recent work focusing on organizational culture transfer, research populations, and Europeanization of strategy. Artin is actively involved in academic service and leadership: Director of MSc International Business Management Member of the Doctoral Programmes Review Committee Personal Tutor for 22 students Work Placement Programme Tutor He supervises postgraduate research, currently guiding two PhD students, and has previously supervised numerous master’s and MBA dissertations across multiple institutions. His teaching spans strategic management, international business, entrepreneurship, research methodology, and operations management at undergraduate and postgraduate levels. Artin is affiliated with leading academic organizations: Academy of International Business British Academy of Management Euro-Asia Management Studies Association
Vitaly Kheyfets, PhD, serves as Associate Professor in the Department of Pediatrics-Critical Care Medicine at the University of Colorado Anschutz Medical Campus School of Medicine, where he directs research at the intersection of pediatric critical care and cardiopulmonary pathophysiology with emphasis on pulmonary arterial hypertension (PAH). His primary research focuses on right ventricular adaptation to pulmonary hypertension, utilizing machine learning-driven multi-omics analysis to identify disease biomarkers and molecular networks. He pioneers computational fluid dynamics approaches for hemodynamic modeling in congenital heart conditions like Glenn physiology, while also investigating sleep oscillatory patterns as neurodegenerative biomarkers. His methodology integrates proteomics, spatial transcriptomics, and pressure waveform analysis to dissect vascular remodeling mechanisms. Publication trends reveal a strong emphasis on translating computational models into clinical applications for PAH prognostication, with recent work developing AI-cooperative diagnostic platforms and characterizing microvascular changes in the right ventricle. Cross-disciplinary collaborations span proteomics, imaging, and sleep neuroscience, demonstrating consistent innovation in both pulmonary hypertension and neurodegenerative disease biomarker discovery.
