جست‌وجوی استاد و پژوهشگر

Ranjana Mehtaمشاهده پروفایل

استاد

• Neuroergonomics
• Occupational Fatigue
• Human-Robot Interaction
• +۴ مورد دیگر

Ranjana Mehta serves as Professor in the Department of Industrial and Systems Engineering at the University of Wisconsin-Madison and Affiliate Faculty in the BerbeeWalsh Department of Emergency Medicine, directing the NeuroErgonomics Laboratory while co-directing the Texas A&M Ergonomics Center and holding faculty fellowships at the Center for Population Health and Aging and Center for Remote Health Technologies and Systems. Her academic background includes: PhD in Industrial & Systems Engineering from Virginia Tech MS in Industrial Engineering from University at Buffalo BE in Production Engineering from University of Mumbai, India Mehta pioneers neuroergonomic approaches to study human performance under fatigue and stress in safety-critical environments, developing closed-loop human augmentation technologies for emergency response, space exploration, and oil/gas operations. Her work integrates adaptive AR/VR interfaces, wearable systems, human-robotic interactions, and brain-computer interfaces to enhance human-technology partnerships through user-centered design. Analysis of her recent publications reveals strong emphasis on fatigue detection in offshore workers, trust dynamics in human-robot collaboration, and sex-specific neural adaptations to exoskeletons. Her research spans human factors engineering, neuroscience, and industrial engineering, employing multimodal physiological metrics to address real-world safety challenges across high-risk industries. Her scientific recognition includes: 2024 Virginia Tech, ISE Distinguished Alumni 2023 Human Factors and Ergonomics Society, Fellow 2022 IISE Award for Technical Innovation in Industrial Engineering 2022 NASA ideas* Fellow 2022 NASEM Gulf Research Early Career Research Fellow 2022 The Human Factors Prize 2021 Virginia Tech, ISE Emerging Leaders Award 2021 Texas A&M Presidential Impact Fellow 2020 TEES Engineering Genesis Award 2020 Virginia Tech Engineering Outstanding Recent Alumni Award 2019 HFE Woman of the Year 2017 William C. Howell Young Investigator Award Her research receives funding from multiple federal agencies and industry partners supporting neuroergonomic solutions for worker safety. She mentors graduate students through ISyE 699/790/890/990 research courses and PSYCH 859 special topics, focusing on human factors engineering applications in emergency response and healthcare systems. Mehta leads interdisciplinary teams across the NeuroErgonomics Laboratory and Texas A&M Ergonomics Center, integrating engineering, neuroscience, and emergency medicine expertise to develop real-time fatigue monitoring systems and adaptive interfaces for high-stakes occupational environments.

Tim Rogersمشاهده پروفایل

استاد

• Stochastic Processes
• Random Matrix Theory
• Collective Behavior
• +۴ مورد دیگر

Professor Tim Rogers is affiliated with the University of Bath as a faculty member in the Department of Mathematical Sciences . He is actively involved in research spanning complex systems, network theory, and stochastic processes. PhD in Random Matrix Theory from King's College London (2010) His research focuses on emergent behavior in random systems , including: Collective Behavior : Crowd dynamics, lane formation, and noise-enhanced synchronization Epidemics & Networks : Spread prediction, node risk assessment, and misinformation impacts Ecology & Evolution : Trait emergence, species boundaries, and demographic noise effects Random Matrix Theory : Spectral analysis and applications to complex systems Publication trends reflect interdisciplinary work bridging Physics, Biology, and Mathematics , with a focus on network structures , stochastic modeling , and emergence phenomena . Scientific awards include: 2015 : Editor's Choice for Europhys. Lett. 109, 28005 2016 : Highlight of Journal of Physics A 2017 : Editor's Suggestion for Phys. Rev. E 92, 032708 He has supervised numerous PhD students and postdocs on projects related to stochastic dynamics , network modeling , and mathematical biology , with ongoing grants from agencies like EPSRC and The Leverhulme Trust .

• Cybersecurity
• Cryptography
• Data and information privacy
• +۲ مورد دیگر

Dr. Joonsang Baek is an Associate Professor at the School of Computing and Information Technology, University of Wollongong (since 2021). His research focuses on Cybersecurity , Cryptography , and Network Security , with notable contributions to digital signature revocation, attribute-based encryption, and privacy-preserving protocols. Member, Institute of Cybersecurity and Cryptology (since 2017) Supervision interests: Cybersecurity, Applied Cryptography, Network Security Research Highlights: Innovations in withdrawable signatures, secure cloud data sharing, and 5G authentication protocols. His work combines theoretical cryptography with practical applications in edge computing and AI-driven security systems. Grants: Led projects on ransomware datasets, dynamic access control, and TLS optimization. Collaborated with Data61, Discovery Projects, and industry partners on cybersecurity resilience initiatives. Collaborations: Frequent co-author with researchers like Willy Susilo, Cao Cao, and Xinyu Liu. Active in ACM Asia CCS, IEEE Transactions, and LNCS publications.

Maria Luce Lupettiمشاهده پروفایل

استادیار

• Design
• Human-Robot Interaction
• Speculative Design
• +۷ مورد دیگر

Maria Luce Lupetti is a Fixed-term Assistant Professor at the Department of Architecture and Design (DAD) at Politecnico di Torino . She actively contributes to the College of Architecture and Design and is a member of the College of Mechanical, Aerospace and Automotive Engineering . Her academic role involves teaching Cognitive Ergonomics and HMI in the Automotive Engineering master's program and collaborating on Design and Communication courses. Editorial Roles: Associate Editor for the journal INTERACTIONS since 2024 Conference Leadership: Participating in organizing committee for CHI 2026 Research Projects: Scientific Director of PARJAI (2025-2028) on Participatory Design Justice for Ethical AI Transitions Research Focus : Maria's work bridges Design with Human-Robot Interaction , focusing on Ethical AI , Speculative Design , and Urban Robotics . Her recent publications explore: Speculative design for sustainable digital futures Contextual adaptability challenges in urban robotics Design taxonomies for demystifying AI Trustworthy embodied agents in healthcare Creative applications of AI in HRI Ethical frameworks for energy futures Design Philosophy : She emphasizes participatory approaches, critical design thinking, and transdisciplinary collaboration to address societal challenges at the intersection of technology, ethics, and human factors. Her work appears in leading venues including CHI , HRI , and Frontiers in Neurorobotics , while also contributing to edited volumes and journal special issues.

• Digital Communications
• Signal Processing
• Networking
• +۳ مورد دیگر

Mahsa Derakhshani is a Senior Lecturer (equivalent to Associate Professor) in Digital Communications at Loughborough University's Wolfson School of Mechanical, Electrical and Manufacturing Engineering. She leads research in the Signal Processing and Networks Research Group (SPNRG) and serves as an Associate Editor for the IET Signal Processing Journal. Her academic journey includes a PhD from McGill University (2013), followed by postdoctoral roles at the University of Toronto and Imperial College London. Key awards include the Royal Academy of Engineering/The Leverhulme Trust Research Fellowship (2020-21) and NSERC Postdoctoral Fellowships (2015-2017). Research interests focus on digital communications, machine learning for signal processing, wireless networks, and reinforcement learning applications. Recent work addresses challenges in satellite communications, OTFS modulation, and opto-physiological monitoring. She has authored over 70 publications spanning topics like NOMA systems, MIMO optimization, and edge-assisted live streaming. Education: PhD (McGill, 2013), MSc (Sharif University, 2008), BSc (Sharif University, 2006) Affiliations: IEEE Senior Member, IET Member, Fellow of the Higher Education Academy Grants & Funding: Leverhulme Trust, Royal Academy of Engineering, NSERC Labs/Teams: Active in SPNRG and collaborates on projects involving 5G/6G networks, satellite systems, and biomedical signal processing. Current research emphasizes AI-driven solutions for communication networks and wearable health monitoring technologies.

• Human-Computer Interaction
• Privacy Studies
• Social Media
• +۳ مورد دیگر

Andrea Forte is a Professor affiliated with the University of Michigan, with a former position at Drexel University. Her research focuses on Human-Computer Interaction (HCI), Privacy Studies, and Social Media, exploring topics such as privacy expertise, marginalized communities' digital experiences, and collaborative systems. She has published extensively in top venues like CHI, CSCW, and ACM Transactions on Computer-Human Interaction. Her work bridges technical, social, and ethical dimensions of technology, addressing challenges in privacy protection, online anonymity, and the impact of social media on vulnerable populations. She has contributed to understanding how technologies like Wikipedia and social platforms mediate trust, credibility, and activism. Notable projects include studies on user privacy rights in people search websites and the sociotechnical challenges faced by disability activists online. Forte collaborates with interdisciplinary teams, addressing issues such as internet-facilitated harassment of researchers and the design of privacy-enhancing technologies. Her research emphasizes equitable and inclusive approaches to technology, particularly in library and educational contexts.

Peng Gaoمشاهده پروفایل

استادیار

• Cybersecurity
• Network Security
• AI for Security
• +۷ مورد دیگر

Peng Gao is an Assistant Professor in the Department of Computer Science at Virginia Tech. He is affiliated with the Virginia Tech Security & Intelligence Lab and holds a Ph.D. in Electrical Engineering from Princeton University. Prior to his faculty position, he was a postdoctoral researcher at UC Berkeley and held research internships at Microsoft Research, Facebook, and NEC Laboratories America. Education includes a B.Eng. from Shanghai Jiao Tong University (2009-2013), M.A. and Ph.D. from Princeton (2013-2019), and an exchange program at the University of Hong Kong (2012). Key roles include Technical Program Committee memberships for conferences like IEEE S&P, USENIX Security, and CCS. Research focuses on Cybersecurity (APT prevention, network security with P4/eBPF) AI applications (LLMs for security, AI safety) Systems security (attack investigation, threat intelligence) AI for science (molecular/materials prediction) Notable awards include the 2022 Amazon-VT Initiative Faculty Award, CCI Fellowships, and multiple best paper nominations. His lab has received grants from CCI, NSF, and industry partners like Google Cloud and Cisco. Teaching includes courses on Principles of Computer Security (CS 4264) and Blockchain Technologies (CS 5594). He advises ~20 students across Ph.D., MS, and undergraduate levels.

Rebecca K. Ivicمشاهده پروفایل

استاد

• Health Communication
• Public Health
• Computational Social Science
• +۳ مورد دیگر

Dr. Rebecca K. Ivic is a Professor and Associate Dean of Research at the University of Alabama's College of Communication & Information Sciences. She holds a PhD and MA in Health Communication from Purdue University. Her research bridges health communication, public health, and computational social science to address global health challenges such as vaccine promotion and health equity. She currently serves as Senior Editor of the Journal of Health Communication and Co-Secretariat Lead for the Nature Medicine Commission's Quality Health Information for All initiative. Dr. Ivic has secured over $1.6M in research funding and contributed to 60+ peer-reviewed publications. She leads institutional research strategies, including a pilot funding program and strategic plans to enhance faculty and student research support. Her work emphasizes digital health directions, global partnerships, and evidence-based health information systems. She collaborates with multidisciplinary teams and international organizations to advance health equity through strategic communication frameworks. Key contributions include special journal collections, grant review roles for NIH and NSF, and partnerships with the CUNY School of Public Health. Dr. Ivic's research spans computational social science methodologies, social media discourse analysis, and health campaign effectiveness. Her recent work explores algorithmic impacts on misinformation, community support dynamics in online health spaces, and environmental health communication through social media networks.

• Internal combustion engines
• Combustion
• Exhaust emissions
• +۹ مورد دیگر

Professor Dinos Arcoumanis FREng is a distinguished academic at City, University of London, where he has served as Professor since 2000. He previously held academic positions at Imperial College London from 1988-2000, progressing from Lecturer to Reader and ultimately to Professor of Internal Combustion Engines. At City University, he has held significant leadership roles including Head of the Aeronautical, Civil and Mechanical Engineering Department, Dean of the School of Engineering & Mathematical Sciences, Pro-Vice-Chancellor for Research and International Links, and Deputy Vice-Chancellor (Research & International) until August 2014. He remains actively involved in research and academic leadership, currently serving as Director of the International Institute of Cavitation Research and Coordinator of the World Cities World Class (WC2) University Network. Professor Arcoumanis holds undergraduate and graduate degrees in Physics, Engineering and Mechanical Engineering from the Aristotelian University of Thessaloniki, Greece (1973), the University of California at Irvine, USA (1980), and the Imperial College of Science, Technology and Medicine, London (1984), respectively. His primary research focuses on internal combustion engines, with specific expertise in combustion, exhaust emissions, and engine lubrication. Professor Arcoumanis has pioneered the application of laser diagnostics and computational fluid dynamics to study internal combustion engines, with particular interest in automotive fuels including renewable and alternative fuels. His work bridges fundamental fluid mechanics with practical engine applications, addressing critical environmental engineering challenges in the transportation sector. His recent research has expanded into cavitation phenomena, fuel cell technology, and the development of sustainable propulsion systems for future transportation needs. Professor Arcoumanis's extensive publication record demonstrates a clear evolution in research focus, beginning with fundamental studies of diesel engine combustion and progressing toward advanced fuel injection systems, alternative fuels, and environmental sustainability. His work consistently bridges theoretical fluid mechanics with practical engine applications, with recent emphasis on cavitation phenomena in fuel systems and the integration of renewable energy technologies with traditional combustion systems. The interdisciplinary nature of his research connects mechanical engineering principles with environmental science, materials science, and energy systems engineering. Professor Arcoumanis has received numerous prestigious awards and honors throughout his career: 1991 Dugald Clerk Prize of IMechE 1995 and 1998 Arch T. Colwell Merit Award of the Society of Automotive Engineers Elected Fellow of the Royal Academy of Engineering (FREng) in 2001 Honorary doctorate from St. Petersburg State Polytechnic University of Russia (2009) Professor Arcoumanis has made significant contributions to academic leadership and professional service. He founded the International Journal of Engine Research (JER) in 1999 and serves as its Editor for Europe. He has coordinated the World Cities World Class (WC2) University Network since 2010, which brings together international institutions in major cities to address research challenges in transport, global health, business, and cultural industries. He has also served as a consultant to Brussels (DG17) and Bechtel Ltd. on the Auto-oil II European Programme (1998-2000), and was appointed Ambassador-at-Large of the Hellenic Republic for Energy Policy and New Technologies in September 2012. His research has been supported by various funding bodies including the Lloyd's Register Educational Trust, which funds the International Institute of Cavitation Research that he directs. Professor Arcoumanis leads the International Institute of Cavitation Research, a partnership between City University London, Loughborough University, and Delft University of the Netherlands. He has established collaborative research teams focused on engine combustion, fuel injection systems, and alternative propulsion technologies. His research group has developed advanced experimental facilities for studying fuel spray dynamics, combustion processes, and cavitation phenomena in engine systems. These teams regularly collaborate with automotive industry partners and international research institutions to address cutting-edge challenges in engine technology and sustainable transportation.

Serena Boothمشاهده پروفایل

استادیار

• Human-AI Interaction
• Reinforcement Learning
• AI Policy
• +۳ مورد دیگر

Serena Booth is an incoming Assistant Professor in Computer Science at Brown University. Previously, she served as an AAAS AI Policy Fellow in the U.S. Senate, advising the Senate Banking Committee on AI policy. She holds a PhD from MIT CSAIL (2023) and a BA from Harvard College (2016). Her research focuses on human-AI interaction, specification design for AI systems, and ethical AI practices. She also worked as an Associate Product Manager at Google, scaling ARCore to 100 million devices. Her research explores how humans specify AI behaviors, assess system success, and mitigate misalignment risks. Key contributions include Bayes-TrEx (model transparency via Bayesian sampling) and RoCUS (robot controller understanding). Her work has been supported by NSF GRFP and MIT Presidential Fellowships. She advocates for science policy equity through MIT's Science Policy Initiative and co-founded initiatives to support women in computing (e.g., GW6 at MIT). Education: PhD MIT CSAIL (2023), BA Harvard College (2016) Awards: Rising Star in EECS, HRI Pioneer, NSF GRFP Key Areas: Reward design pitfalls, human-robot trust, ethical AI curriculum development Her recent publications analyze reward function misdesign (AAAI 2023), human-AI teaching frameworks (HRI 2022), and feature attribution reliability (AAAI 2022). She currently seeks PhD students/postdocs focusing on human-AI alignment, reinforcement learning, and policy implications.

Duc Duy (Louis) Nguyenمشاهده پروفایل

استاد

• Empirical Corporate Finance
• Banking
• Climate Finance
• +۳ مورد دیگر

Duc Duy (Louis) Nguyen serves as Professor in Finance at Durham University Business School, where he joined in 2021 after previously holding positions as Associate Professor of Finance at King's College London and Assistant Professor in Banking and Finance at the University of St Andrews. His academic journey includes a PhD in Finance from the University of Edinburgh, an MSc (Distinction) in Accounting, Finance, and Management from the University of Bristol, and a BSc (Hons) in Computing from the National University of Singapore. Nguyen's research spans empirical corporate finance, banking, climate finance, and household finance, with publications in top-tier journals including Review of Financial Studies , Management Science , Journal of Financial and Quantitative Analysis , and Review of Finance . His work has been featured in prominent media outlets such as Forbes , Harvard Business Review , BBC , and the Boston Globe , and has influenced policy discussions with citations by the U.S. Senate Committee on Banking and the United Nations Environment Programme. His research portfolio demonstrates evolving interests from traditional banking and corporate governance topics toward increasingly important areas like climate finance and social finance. Nguyen has established productive collaborations with researchers including Jens Hagendorff, Vathunyoo Sila, and Ivan Lim, resulting in numerous high-impact publications. David Hume Publication Prize (2015) 2025 Vietnam International Conference in Finance Best Paper Award Best Registered Report on Politics and Corporate Power, Review of Corporate Finance Studies Semi-finalist, 2018 FMA Europe Best Paper Award Finalist, 2019 FMA Asia/Pacific Best Paper Award Finalist, 2015 FMA European Best Paper Award As an active contributor to the academic community, Nguyen serves as Associate Editor for the European Journal of Finance and the British Accounting Review . He regularly presents at international conferences and meetings organized by central banks, governments, and international organizations, including the Federal Reserve Banks of New York and St Louis. His research has been funded by prestigious organizations including the British Academy/Leverhulme Trust and the Carnegie UK Trust. Nguyen currently supervises PhD students Bingzhi Zhang and Jing Wei, continuing his commitment to developing the next generation of finance scholars.

Nakyung Kyungمشاهده پروفایل

استادیار

• Healthcare Informatics
• Digital Transformation
• Platforms & Innovation
• +۴ مورد دیگر

Nakyung Kyung is an Assistant Professor at the Department of Information Systems & Analytics, School of Computing, National University of Singapore. Her research integrates Information Systems, economics, and healthcare to address challenges in health behavior change, healthcare analytics, and mobile business analytics. She focuses on AI/ML-based nudge design, mobile health, and the societal effects of IT, including ethical issues and side effects. Education: B.A. in Business Administration (Hanyang University), M.Sc. and Ph.D. in Management Engineering (KAIST). She has conducted research projects such as 'Mandated vs Autonomous AI Use' and 'The Effect of Health IT on Behavior Change,' using big data analytics, econometrics, and field experiments. Courses taught include BT2101 Econometrics Modeling for Business Analytics and IS2238 Economics of IT and AI. Research highlights include analyzing weather-based message framing in mobile health apps and investigating algorithmic control in gig platforms. Her work on weather-contingent nudges was published in Information Systems Research and recognized with awards like the Health IT in Action award (CHITA 2023). Awards include Best Student Paper (CHITA 2019), Doctoral Consortium (ICIS 2020), and Best Paper in Healthcare Track (ICIS 2021). Her research emphasizes ethical AI design and long-term behavioral interventions to promote health equity and societal welfare.

Mark Harrisمشاهده پروفایل

دانشیار

• Information Security Management
• Socio-Behavioral Aspects of Technology Adoption
• Trust-Based Models in Cybersecurity
• +۳ مورد دیگر

Mark Harris is an Associate Professor and Interim Department Chair in the Department of Cyber Security at Augusta University's School of Computer and Cyber Sciences. He holds a Ph.D. in Business/Commerce and Management Information Systems from Virginia Commonwealth University, along with multiple other degrees. His research focuses on socio-behavioral aspects of information security, particularly trust-based models influencing technology adoption (e.g., mobile payments, telemedicine). He has received awards including the Augusta University Graduate School Distinguished Service Award (2020) and SCCS Outstanding Faculty Award (2020). Education: Ph.D., Business/Commerce & MIS, Virginia Commonwealth University (2010) MS, Business, Old Dominion University (2003) BSBA, Management Information Systems, Old Dominion University (1999) Recent Research Trends: Recent publications emphasize trust frameworks in telemedicine adoption, mobile payment systems, and cybersecurity compliance strategies. His work bridges behavioral psychology with technological adoption barriers, frequently using empirical reviews to identify gaps in theoretical models. Awards & Service: Recipient of 2018 International Journal of Information Management Review Excellence Award Curriculum Sub-Committee Member at Augusta University's Graduate School Editorial Board Member for International Journal of Information Management Teaching & Leadership: Serves as Director of the Master’s in Information Security Management Program (2016–2022) and currently chairs multiple university committees. Teaches graduate courses on information security research and legal issues in cybersecurity.

Jan-David Liebeمشاهده پروفایل

استاد

• Implementation Science
• Digital Health
• Human-Centered Design
• +۳ مورد دیگر

Prof. Dr. Jan-David Liebe is a Professor of Digital Society at Osnabrück University of Applied Sciences, leading the Digital Health Management field. He holds a PhD in Business Informatics from the University of Osnabrück (2013–2018). His research focuses on implementation science in healthcare, human-centered design, and AI-driven healthcare innovations. He is a co-founder of innnow GmbH and an associated researcher at UMIT’s Institute for Medical Informatics. Key roles include heading the GMDS AG mwmKIS and contributing to national IT reports in healthcare. Research Interests: His work spans digital transformation in healthcare, evaluating healthcare IT maturity models, and fostering innovation through design thinking. Notable projects include benchmarking health IT systems and developing frameworks for AI-supported diagnostics. Professional Roles: Prof. Liebe serves as the Study Director for the Health Management MA program and Entrepreneurship Officer at the WiSo faculty. He actively contributes to research networks like the German Society for Medical Informatics and advises on healthcare IT strategies. Grants & Projects: Leads projects on cloud readiness of hospitals, VR-based medical training, and AI in echocardiography. His work is published in over 50 peer-reviewed articles, emphasizing practical applications of digital tools in healthcare workflows and policy. Affiliations: Member of the Research Commission and Study Committee at Osnabrück University of Applied Sciences. Collaborates with institutions like the Medical School Hamburg and Novia University of Applied Sciences.

• Artificial Intelligence Law
• Technology and Society
• Discrimination Law
• +۵ مورد دیگر

Andrew D. Selbst is a Professor of Law at UCLA School of Law and currently serves as the William J. Friedman and Alicia Townsend Friedman Visiting Professor of Law at Harvard Law School. He has been on the UCLA faculty since 2020 and previously held positions as a Postdoctoral Scholar at the Data & Society Research Institute and a Visiting Fellow at Yale Law School's Information Society Project. He has also taught as an Adjunct Professor at Fordham Law School. Professor Selbst received his educational training from prestigious institutions: S.B. in Physics and Electrical Science and Engineering from MIT (2004) M.Eng. in Electrical Engineering and Computer Science from MIT (2005) J.D. from the University of Michigan Law School (2011) Before entering academia, Professor Selbst worked as a design engineer at Cirrus Logic and Analog Devices. Following law school, he served as a Privacy Research Fellow at NYU School of Law's Information Law Institute, an Alan Morrison Supreme Court Assistance Fellow at Public Citizen Litigation Group, a Senior Associate in Hogan Lovells US LLP's Communications group, and clerked for federal judges including the Honorable Dolly M. Gee and the Honorable Jane R. Roth. Professor Selbst's research examines the complex relationship between law, technology, and society. Drawing on resources from computer science, sociology, and science and technology studies, he seeks to understand how technologies interfere with existing legal regimes and how legal actors can respond to the social effects of new technology. His recent work has focused specifically on the effects of machine learning and artificial intelligence on various legal domains, including discrimination law, policing practices, credit regulation, data protection frameworks, and tort law. His interdisciplinary approach combines technical understanding of AI systems with deep legal analysis to address emerging challenges in the digital age. Professor Selbst teaches courses in torts, information privacy and data protection, a seminar on law, technology and society, and beginning in 2025, a dedicated course on Artificial Intelligence Law. His publications have appeared in leading law journals including Boston University Law Review, California Law Review, Harvard Journal of Law and Technology, and University of Pennsylvania Law Review, as well as in the ACM Conference on Fairness, Accountability and Transparency. He is also the coauthor of a forthcoming casebook on Artificial Intelligence Law. His scholarly contributions demonstrate a consistent focus on the intersection of emerging technologies and legal frameworks, with particular attention to how AI systems create novel challenges for established legal doctrines. Professor Selbst's work has been influential in shaping academic and policy discussions around AI regulation, algorithmic accountability, and the adaptation of legal systems to technological change.