Yuri Bobbert is a Professor of Information System Science at Antwerp Management School (AMS), part of the University of Antwerp. He holds dual PhDs from Radboud University and the University of Antwerp, focusing on IT performance measurement. His career includes roles as Global Group CSO of NN Group and UWV (Government), leading cybersecurity integrations during mergers like NN Group and Delta Lloyds. As CEO of B-ABLE (IT consultancy), he developed cybersecurity frameworks. Currently, he advises on NIS2 compliance and Zero Trust strategies. His research spans cybersecurity ROI, regulatory frameworks (e.g., NIS2), and leadership in digital security. Education PhD in Information Systems (Radboud University) PhD in Cybersecurity (University of Antwerp) Research Interests Cybersecurity governance and compliance ROSI (Return on Security Investment) CISO leadership and board communication Zero Trust architecture Risk quantification in digital ecosystems Publications & Books Authored books: Strategic Approaches to Digital Platform Security Assurance , Cybersecurity in 60 Minutes , and Digital Security Leadership Over 100 peer-reviewed publications on cybersecurity performance and governance Grants & Awards Recipient of NIS2 implementation research grants Contributor to EU cybersecurity policy discussions Labs & Teams Leads AMS cybersecurity education programs and collaborates with ON2IT on global cybersecurity strategies.
Zurich University of Applied Sciences (ZHAW)Switzerland
Prof. Dr. Roland Büchi is a Professor at the School of Engineering, Zurich University of Applied Sciences (ZHAW), specializing in control systems engineering and applied AI. His affiliation includes leadership roles in research projects such as the ongoing 'Digital Bridge to Computer Science' initiative. With a career spanning decades, he maintains active research output and industrial collaborations. Research Interests: Büchi focuses on control systems optimization , particularly PID controller tuning using AI methods, system identification, and applications in robotics and drone technology. His work bridges theoretical control theory with practical implementations in mechatronics. Recent efforts explore machine learning for hysteresis modeling and swarm optimization for control systems. Publication Trends: His 15 most recent works (2018-2024) emphasize AI-driven control optimization , drone technology advancements, and engineering education. Dominant themes include PID parameter tuning for time-delayed systems, drone telemetry, and adaptive learning algorithms. A notable shift toward AI/ML applications in control engineering emerged post-2020. Labs and Teams: Büchi collaborates with researchers like Lukas Gruber and has historical ties to ETH Zurich’s robotics projects. His work involves experimental validation at ZHAW’s engineering facilities, with patents in turbocharger magnetic bearing systems.
Jennifer Olsen, PhD, is an Assistant Professor of Computer Science at the University of San Diego since 2020. She holds a PhD, MS, and BS in Human-Computer Interaction and Cognitive Science from Carnegie Mellon University, followed by postdoctoral research at the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland. Her research focuses on the intersection of human-computer interaction, cognition, and education, emphasizing collaborative learning and educational technology design from both learner and instructor perspectives. Education: PhD in Human-Computer Interaction, Carnegie Mellon University MS in Human-Computer Interaction, Carnegie Mellon University BS in Cognitive Science, Carnegie Mellon University Research Interests: Dr. Olsen explores how collaboration supports learning, designs technologies to enhance educational practices, and investigates gaze-based metrics for understanding collaborative problem-solving. Her work spans gamified robotics, AI-driven orchestration systems, and virtual reality applications in vocational training. She emphasizes learner-centered design and the integration of social robots and virtual agents in pedagogical settings. Grants/Advising: While no specific grants or advisees are listed, her prolific publication record indicates active involvement in educational technology research and development. Her work addresses challenges in classroom orchestration, multimodal data analysis, and accessibility in educational robotics. Labs/Teams: Collaborates with interdisciplinary teams focused on educational technology, human-robot interaction, and adaptive learning systems. Her research leverages tools like FROG orchestration graphs and eye-tracking technologies to develop practical classroom solutions.
Sewoong Oh is a Professor at the Paul G. Allen School of Computer Science & Engineering at the University of Washington, where he has been faculty since 2019. His research focuses on the foundations of machine learning with particular emphasis on differential privacy, secure and robust machine learning, and federated learning. Prior to joining UW, he was at the Department of Industrial and Enterprise Systems Engineering at the University of Illinois at Urbana-Champaign from 2012-2019. He is affiliated with multiple NSF AI Institutes including ACTION (Agent-based Cyber Threat Intelligence and Operation), AI-EDGE (Future Edge Networks and Distributed Intelligence), and IFML (Foundations of Machine Learning). Oh received his PhD in Electrical Engineering from Stanford University in 2011 under Andrea Montanari, followed by postdoctoral work at MIT's Laboratory for Information and Decision Systems under Devavrat Shah. His educational background spans top institutions in theoretical computer science and electrical engineering. His research spans the critical intersection of machine learning security, privacy, and robustness. Oh's work addresses fundamental challenges in making AI systems reliable and trustworthy, with particular focus on defending against backdoor attacks, developing privacy-preserving algorithms, and creating efficient tokenization methods for language models. His recent SuperBPE work demonstrates how moving beyond traditional subword tokenization can significantly improve language model efficiency and performance. His research consistently bridges theoretical foundations with practical implementations, as evidenced by numerous open-source repositories containing production-ready code. Oh's publications reveal a consistent trajectory toward addressing security and privacy concerns in increasingly complex machine learning systems, with recent work focusing on language model tokenization, data-centric AI, and federated learning frameworks. His research shows strong interdisciplinary connections between theoretical computer science, statistics, and practical machine learning systems. ACM SIGMETRICS best paper award (2015) NSF CAREER award (2016) ACM SIGMETRICS rising star award (2017) GOOGLE Faculty Research Awards (2017, 2020) 2024 ICML Best Paper Award (for work by advisee Jon Hayase) Professor Oh maintains an active research group with numerous PhD students, postdocs, and undergraduate researchers. His students have secured prestigious positions at leading tech companies including Amazon, Google, and Snap, as well as academic appointments at institutions like University of Wisconsin-Madison and Shanghai Jiao Tong University. He has received substantial research funding through his participation in multiple NSF AI Institutes and industry research awards from Google. His lab maintains several active GitHub repositories implementing cutting-edge research in backdoor defense, robust statistics, and privacy-preserving machine learning.
Robert JOLIET is an Associate Professor of Finance at IÉSEG School of Management in France. He holds a Ph.D. in Economics and Management from HEC-ULg Management School (Belgium) and has held various academic leadership roles, including Director of Academic Development and Academic Director of the PGE (MSc in Management). His research focuses on finance, portfolio management, SRI (Socially Responsible Investing), and corporate finance, with a particular emphasis on international expansion, capital structure, and sustainable investment strategies. Education: 2008: Ph.D. in Economics and Management, HEC-ULg Management School, Belgium 2004: Master of Advanced Studies (DEA), Management Sciences (Finance), University of Liège, Belgium 2002: Master of Science in Business Engineering (Finance), University of Liège, Belgium Research interests span SRI fund dynamics, corporate social responsibility valuation, international debt policies, and market liquidity. Notable contributions include analyzing the impact of SRI mutual funds on corporate governance and environmental practices, and exploring the stability of sovereign debt structures in the Eurozone. Awards include the 2005 FORTIS Award (Third Prize) and the 2003 E.G. de Barsy Doctoral Fellowship. He has published extensively in journals like Economics Letters and Journal of Banking & Finance . Academic leadership roles include directing programs and departments at IÉSEG, alongside coordinating the Finance Track and managing academic development initiatives. His teaching focuses on financial data analysis, active portfolio management, and investment strategies in capital markets. He is a member of the LEM (Laboratoire d'Économie Moderne) research group and contributes to interdisciplinary research in finance and economics.
Massachusetts Institute of TechnologyUnited States
Lily L. Tsai is the Ford Professor of Political Science at the Massachusetts Institute of Technology (MIT) and founder/director of the MIT Governance Lab (MIT GOV/LAB). She previously chaired the MIT Faculty and focuses her research on governance, accountability, and political participation in developing contexts, particularly Asia and Africa. Her research explores how decentralization, democratic reforms, informal institutions, and economic development influence public goods provision. She also investigates the dual impacts of social capital and civil society on political outcomes, and analyzes political behavior in authoritarian and transitional systems through surveys, interviews, and field experiments. Recent publications span topics including collective governance, vaccine compliance in Uganda, anticorruption strategies in China, and the role of informal institutions in rural China. Tsai’s work appears in journals like American Political Science Review and World Development . Dogan Award for best book in comparative research (2007-08) She leads interdisciplinary projects such as the Compass Initiative (SHASS Education Innovation Fund) and The Science of Respect with MIT’s Brain and Cognitive Sciences department. MIT GOV/LAB, which she founded in 2014, emphasizes real-time empirical collaboration between researchers and practitioners to address governance challenges.
David Noyce is a Professor and Executive Director of the Traffic Operations and Safety (TOPS) Laboratory at the University of Wisconsin-Madison's Department of Civil & Environmental Engineering. He also serves as Associate Director of the Safety Research Using Simulation (SaferSIM) Center, a University Transportation Center. His work focuses on transportation safety, traffic operations, and automated/connected vehicle systems. Key roles include leading over $35M in research since 2003 through the TOPS Lab and advancing technologies like V2V/V2I communication, winter maintenance strategies, and work zone safety. Education: PhD (Texas A&M, 1999), MS (Civil Engineering, UW-Madison, 1995), MBA (UW-Whitewater, 1994), BS (UW-Madison, 1984). Research interests span traffic control devices, driver behavior analysis, crash reconstruction, and multi-modal transportation systems. He pioneered the national implementation of flashing yellow arrow signals and developed the Wisconsin Connected and Automated Transportation Consortium. Current projects include C-V2X localization frameworks, automated vehicle safety testing, and winter maintenance efficiency. Recognized with 20+ awards, including ITE and ASCE Fellowships and the Dr. Arthur F. Hawnn Professorship. His labs offer full-scale driving simulators and field-testing capabilities for real-world validation of innovations.
Herman Barkema is a Professor in Epidemiology of Infectious Diseases at the Faculty of Veterinary Medicine, University of Calgary, with a joint appointment in the Department of Community Health Sciences, Cumming School of Medicine. His research focuses on preventing infectious diseases in cattle herds (e.g., mastitis, Johne’s disease) and antimicrobial resistance, integrating animal and public health perspectives under the One Health framework. He founded the Department of Production Animal Health and leads the AMR – One Health Consortium and CAN-AMR-Net. DVM, Veterinary Medicine, Utrecht University (1988) PhD, Veterinary Science, Utrecht University (1998) His work spans clinical veterinary epidemiology, antimicrobial resistance mechanisms, and zoonotic disease control. He has over 425 publications and collaborates globally, including as a Foreign Expert at China Agricultural University. Recent research trends highlight his focus on multi-omics approaches, ceRNA networks, and antimicrobial stewardship in dairy systems, with significant contributions to Johne’s disease diagnostics and mastitis prevention. Roger Morris ISVEE Award (2024) Plowright Prize (2022) Killam Annual Professorship (2019) Multiple Journal of Dairy Science Most Cited Awards (2011–2024) Fellow, Canadian Academy of Health Sciences (2014) Dr. Barkema supervises graduate students and postdoctoral fellows, emphasizing interdisciplinary mentorship. He co-developed the Veterinary DialogueTrainer for clinical communication training and participates in public engagement initiatives like Breakfast on the Farm. He leads the AMR – One Health Consortium and CAN-AMR-Net, integrating stakeholders across Canada and internationally. His affiliations include the Snyder Institute for Chronic Diseases and strategic initiatives on Infectious Diseases and One Health (2015–2025).
Aarti Singh is a Professor in the Machine Learning Department at Carnegie Mellon University and Director of the NSF AI Institute for Societal Decision Making. She leads research at the intersection of machine learning, statistics, and decision making, with applications to scientific and societal domains. Her work focuses on designing principled interactive algorithms for learning and decision making under uncertainty. Education: Ph.D. in Electrical Engineering, University of Wisconsin-Madison (2008) M.S. in Electrical Engineering, University of Wisconsin-Madison (2003) B.E. in Electronics and Communication Engineering, University of Delhi (2001) Research Interests: Professor Singh's research centers on developing interactive machine learning algorithms that go beyond finding input-output associations to make higher-level decisions about the most informative data and actions. Her work spans autonomous decision making, including active sampling, stochastic optimization, bandits, and reinforcement learning that are statistically optimal, computationally tractable, and robust. She also investigates human factors in decision making, designing algorithms that model and leverage human feedback while accounting for bias, memory effects, and calibration. Her research has applications in material science, cosmology, and peer review systems. Research Trends: Professor Singh's recent publications demonstrate a strong focus on reinforcement learning, particularly in developing more efficient and robust algorithms for decision making under uncertainty. Her work bridges theoretical foundations with practical applications, spanning from fundamental algorithm development to real-world implementation in scientific domains. There's a clear trajectory toward integrating human factors into decision-making algorithms, with significant contributions to peer review systems and preference learning. Scientific Awards: NSF Career Award United States Air Force Young Investigator Award A. Nico Habermann Faculty Chair Award Harold A. Peterson Best Dissertation Award Multiple paper awards Advising and Grants: Professor Singh has advised numerous PhD and master's students, many of whom have gone on to faculty positions or research roles at leading institutions. Her research is supported by prestigious grants from ONR, Simons Foundation, AFRL, ARL, and NSF. She serves as General Chair (2025) and Program Chair (2020) for the International Conference on Machine Learning (ICML) and has held leadership roles in multiple professional organizations. Research Team: Professor Singh leads a vibrant research group within the Machine Learning Department at CMU, with current PhD students working on topics including reinforcement learning, human-AI collaboration, and decision making under uncertainty. She also directs the NSF AI Institute for Societal Decision Making, which brings together researchers from multiple disciplines to develop AI systems that support human decision making in societal contexts.
Geoffrey S. Mearns serves as the 17th President of Ball State University since May 2017. He is recognized for advancing institutional goals through strategic initiatives like Destination 2040: Our Flight Path , focusing on academic excellence, community impact, and economic development. While his role is administrative rather than research-focused, he has driven university-wide efforts in alumni engagement, fundraising, and partnerships such as the revitalization of The Village adjacent to campus and the Muncie Community Schools collaboration. Leadership: Former president of Northern Kentucky University and Cleveland State University's law school dean/provost Legal Background: Federal prosecutor involved in high-profile cases including the Oklahoma City bombing trial Educational Roots: BA in English from Yale University, JD from the University of Virginia (Order of the Coif)
Silvia Lindtner is an Associate Professor at the University of Michigan's School of Information and Director of the Center for Ethics, Society, and Computing (ESC). She holds courtesy appointments in the Penny W. Stamps School of Art and Design and the Digital Studies Institute. Her work focuses on the social and cultural study of technology in China and globally, with a focus on data-driven governance, AI ethics, and the intersection of technology and labor. Lindtner has conducted nearly two decades of fieldwork in China, examining innovation ecosystems, digital economies, and the affective dimensions of state control. She is the author of the award-winning *Prototype Nation: China and the Contested Promise of Innovation* (2020) and co-author of *Technoprecarious* (2020). Education: PhD in Information and Computer Sciences from University of California, Irvine; BS/MS in Media Technology and Design from University of Hagenberg, Austria. Research Interests: Science and Technology Studies (STS), China Studies, HCI, Critical Computing, AI Ethics, Data Governance, Labor Studies, and Transnational Digital Economies. She explores how technological systems shape governance, labor practices, and everyday life, particularly in contexts of global inequality and state surveillance. Awards: Joseph Levenson Prize (2021), Francis L.K. Hsu Book Prize (2021), ACM Distinguished Member (2022), and fellowships from the National Committee on US-China Relations (2021-2023) and China-US Scholars Program (2021-2022). Grants: Supported by NSF, IMLS, Intel Labs, Google Anita Borg, and Chinese National Natural Science Foundation. Leads interdisciplinary initiatives including Tech.Culture.Matters research group and Michigan Interactive and Social Computing (MISC) research group. Labs/Teams: Directs the Center for Ethics, Society, and Computing (ESC) and collaborates with the Lieberthal-Rogel Center for Chinese Studies. Current projects include studies on affective control in AI governance and transnational data practices in healthcare and labor.
Dr. Carolyn Emery is a Professor in the Faculty of Kinesiology at the University of Calgary, with joint appointments in Pediatrics and Community Health Sciences at the Cumming School of Medicine. She holds leadership roles as Chair of the Sport Injury Prevention Research Centre (an International Olympic Committee Research Centre) and the Alberta Children’s Hospital Research Institute. Her affiliations include the McCaig Institute for Bone and Joint Health, Hotchkiss Brain Institute, and O’Brien Institute for Public Health. Dr. Emery’s education includes a BScPT from Queen’s University (1988), MSc in Epidemiology from the University of Calgary (1999), and PhD in Epidemiology from the University of Alberta (2004). Her research focuses on injury prevention in youth sports, concussion, and pediatric rehabilitation, aiming to reduce long-term health consequences such as osteoarthritis and post-concussion syndrome. She leads major grants including CIHR’s “SHRed Injuries” and NFL-funded concussion surveillance programs. Her research interests emphasize practical interventions for injury prevention, including neuromuscular training and policy changes. Recent work explores concussion outcomes in adolescents, biomechanical injury mechanisms, and global sport safety initiatives. She has published extensively on topics like sport-related musculoskeletal injuries, concussion management, and the epidemiology of youth sports. Dr. Emery has received over 20 awards, including the Royal Society of Canada Fellowship, Killam Professorship, and CIHR Canada Research Chair. Her work bridges clinical practice, policy, and community engagement to enhance public health outcomes in sports and youth recreation. Her lab, the Sport Injury Prevention Research Centre, collaborates internationally to develop evidence-based strategies for injury prevention. Current projects include evaluating the impact of tackle laws in rugby, head acceleration in wrestling, and long-term consequences of pediatric concussions.
Professor Marc Sorel is a faculty member in the Department of Electronic & Nanoscale Engineering at the University of Glasgow's School of Engineering. He holds a PhD from Università di Pavia (1999) and joined the Optoelectronics Research Group at Glasgow in 1998 with a Rotary Foundation fellowship. Appointed Lecturer in 2002 and Senior Lecturer in 2008, he is now a Professor specializing in integrated optics, silicon photonics, and semiconductor lasers. His research focuses on applications like quantum technology, mid-infrared optoelectronics, and nonlinear photonics. Notable projects include silicon nitride optical phased arrays and rubidium-based atomic systems. He leads a team advancing chip-scale sensors and photonic integrated circuits. Collaborations with institutions like the Quantum Technology Hub highlight his industry engagement. Research interests span semiconductor ring lasers, ultrashort pulse lasers, and coupled ring resonators on silicon-on-insulator platforms. His work integrates materials science (e.g., alumina/silicon nitride) with quantum and optical engineering innovations. Over 300 publications and presentations at conferences like CLEO and ECOC reflect his global impact. Current efforts emphasize mid-infrared sensing, cold atom systems, and high-precision laser development. His lab develops photonic components for atomic trapping, quantum communication, and biomedical sensing. Recent advancements include sub-kHz linewidth lasers and low-loss waveguides. Funding from UK Research and Innovation supports his exploration of next-generation photonic technologies.
Elliot Bentine is a Research Fellow at the University of Oxford, affiliated with the Department of Physics. He also holds a Senior Postdoc position in the Department of Cardiovascular Medicine. His work integrates quantum physics and medical imaging, focusing on the Vascular Imaging Tool for the Auricle (VITA), a non-invasive optical system for cardiovascular health assessment. Collaborates with Dr. Lapidaire (Cardiovascular Medicine) and previously worked in Professor Chris Foot's quantum gases group. Funded by the Royal Academy of Engineering, Department for Science Innovation and Technology (DSIT), British Heart Foundation, and other translational research programs. His research spans quantum optics, ultra-cold matter, and computational simulation, with a recent emphasis on medical device commercialization. Bentine also develops open-source physics simulations (e.g., AtomECS, CRFAP) and Unity-based tools like ProPixelizer, which has sold over 35,000 copies. Scientific Awards: Royal Academy of Engineering Enterprise Fellowship He contributes to academic and creative communities through outreach demos, including browser-based simulations of evaporative cooling and magnet interactions.
Andrew Mitchell is a Professor at the Faculty of Law, Monash University, and a member of the WTO Dispute Settlement Panelists Indicative List. He has extensive legal practice experience with Allens Arthur Robinson and consults for governments, international organizations, and the private sector. Mitchell has taught law in Australia, Canada, Indonesia, Singapore, and the US. He holds law degrees from the University of Melbourne, Harvard Law School, and a PhD from the University of Cambridge. His research focuses on international economic law, public international law, and digital trade governance, with a particular emphasis on the intersection of trade law and public health. Mitchell has secured six major grants, including an Australian Research Council Future Fellowship, and has authored over 170 books and articles. He serves as an editor for Edward Elgar’s International Economic Law Series and multiple journal editorial boards. Recent projects include 'Safeguarding Health in International Investment Agreements' (2022–2025) 'Maritime Cooperation for a Sustainable Indo-Pacific' (2021–2022) 'Global E-Commerce and Cottage Industries in India' (2020–2021) He has contributed to policy submissions on bilateral investment treaties and delivered lectures on data sovereignty and digital trade. His awards include editorial leadership roles at journals like the Journal of World Investment and Trade and Asia Pacific Law Review .
