جست‌وجوی استاد و پژوهشگر

Kevin Baumمشاهده پروفایل

پژوهشگر

• Explainable AI
• AI Ethics
• AI Fairness
• +۴ مورد دیگر

Kevin Baum is a computer scientist currently serving as the deputy head of the Neuro-Mechanistic Modelling (NMM) department at the German Research Center for Artificial Intelligence (DFKI) since January 2023, and head of the Centre for European Research in Trusted AI (CERTAIN) at DFKI since December 2023. Based at the Saarland Informatics Campus in Saarbrücken, Germany, he completed his doctorate in philosophy in March 2024, combining technical expertise with philosophical depth. His work bridges computer science with ethics, focusing on making AI systems transparent and accountable to human users. Dr. Baum's research program centers on interdisciplinary questions concerning the explainability and transparency of AI systems. His work spans multiple significant projects including the Explainable Intelligent System (EIS) initiative and project E7 of the Transregional Collaborative Research Centre 248 "Foundations of Perspicuous Software Systems" (CPEC). He has developed frameworks for understanding stakeholder perspectives on explainable AI and investigated how different information types about automated systems affect user perceptions of fairness and justice. His approach consistently combines theoretical foundations with practical implementations across diverse contexts. Analysis of his publication trends reveals a clear trajectory from theoretical foundations in machine ethics toward practical implementations of explainability requirements in real-world contexts. His work demonstrates increasing focus on human oversight effectiveness, fairness monitoring, and ethical considerations across various AI applications. He has made significant contributions to both academic discourse and practical AI development guidelines, with publications spanning computer science, philosophy, psychology, and human-computer interaction venues. Award for Ethics for Nerds lecture series As a research leader, Dr. Baum contributes to shaping AI development practices through his departmental leadership and interdisciplinary collaborations. His current work with CERTAIN focuses on establishing European research standards for trusted AI development and deployment, emphasizing the practical implementation of ethical requirements in AI systems. He maintains active collaborations across multiple institutions and disciplines, reflecting his commitment to bridging technical and philosophical considerations in AI development. At DFKI, he leads research that combines neuroscientific insights with AI development to create more interpretable systems. The NMM department focuses on both theoretical research on explainable AI foundations and practical applications in various domains, with particular attention to how different stakeholders understand and require explanations from AI systems.

Ben Williamsonمشاهده پروفایل

مدرس ارشد

• Digital Education
• Data-Intensive Practices in Education
• Educational Policy and Governance
• +۴ مورد دیگر

Dr. Ben Williamson is a Senior Lecturer in Digital Education at the University of Edinburgh's Moray House School of Education and Sport, affiliated with the Institute for Education, Community & Society (IECS) and the Centre for Research in Digital Education. His work critically examines how digital technologies, data infrastructures, and biometric/neurotechnological practices shape educational futures. Key areas of focus include the role of venture capital in education, algorithmic governance, and the privatization of educational systems. His research has been funded by the Leverhulme Trust and the Economic and Social Research Council (ESRC). Notable publications include Big Data in Education: The Digital Future of Learning, Policy, and Practice (2017). He maintains the Code Acts in Education blog and is active on Twitter as @BenPatrickWill. Williamson’s research explores intersections between biology and education (e.g., educational genomics), financial markets in schooling, and the governance of educational data by tech corporations. He critiques how platforms like Google Classroom and investors such as Amazon reshape educational practices and policies. His work emphasizes sociotechnical and infrastructural analyses of educational change. He supervises PhD students focusing on data-centric education policies, digital technology in education governance, and emerging biometric sciences in learning contexts. His articles analyze global EdTech dynamics, pandemic-driven privatization, and the ethical implications of biosocial education. Williamson’s affiliations include the Edinburgh Futures Institute, where he collaborates on future-oriented educational research. He has contributed to policy innovation labs and studies the impact of corporate actors like Pearson and the Chan Zuckerberg Initiative on educational systems.

Guanhong Taoمشاهده پروفایل

استادیار

• AI Security
• Machine Learning Security
• Adversarial Generative AI
• +۳ مورد دیگر

Guanhong Tao is an Assistant Professor at the Kahlert School of Computing, University of Utah. His research focuses on the security and safety of AI-enabled systems, particularly addressing adversarial attacks on machine learning models and large language models (LLMs). He has received notable awards, including the NVIDIA Academic Grant Award (2025) and the Maurice H. Halstead Memorial Award (2023). Educational Background: He earned his Ph.D. in Computer Science from Purdue University under Dr. Xiangyu Zhang’s supervision. His work spans adversarial generative AI, LLM agent security, and machine learning for security applications. Research Interests: Tao’s research emphasizes securing AI systems against adversarial threats, including backdoor attacks, alignment loss in LLMs, and privacy-preserving techniques. His projects have been published in top venues like IEEE S&P, USENIX Security, and NeurIPS. Recent Contributions: Key publications include 'Alleviating the Fear of Losing Alignment in LLM Fine-tuning' (S&P 2025) and 'BAIT: Large Language Model Backdoor Scanning' (S&P 2025). His work often bridges cybersecurity and machine learning, addressing real-world vulnerabilities in AI systems. Grants & Awards: In addition to his NVIDIA grant, Tao has received the ACM SIGPLAN Distinguished Paper Award (2019) and multiple best-paper recognitions. His research is funded by leading industry and academic partnerships. Advising & Teaching: He advises students like Shih-Chieh Dai and co-advises Kang Yang (with Dr. Jun Xu). He teaches courses such as 'Machine Learning Security' at the University of Utah and has guest-lectured at institutions like Purdue and Rutgers. Professional Service: Tao serves on program committees for top conferences, including IEEE S&P, ACM CCS, NeurIPS, and CVPR. He chairs workshops like BANDS (ICLR) and AISCC (NDSS), fostering collaborative research in AI security.

Arun Raiمشاهده پروفایل

استاد

• Information Systems
• Digital Innovation
• Artificial Intelligence
• +۴ مورد دیگر

Arun Rai serves as Regents’ Professor and Howard S. Starks Distinguished Chair at Georgia State University's Robinson College of Business, where he co-founded and directs the Center for Digital Innovation. His career spans interdisciplinary research bridging information systems with societal impact through industry-university collaborations across global sectors. His educational foundation includes: Ph.D. from Kent State University MBA from Clarion University of Pennsylvania M.S. from Birla Institute of Technology & Science Rai's research explores digital innovation , AI governance , and societal impacts of technology through investigations of platform ecosystems, supply chain transformation, and digital solutions for poverty and health disparities. His work uniquely connects technical systems design with behavioral and organizational outcomes across contexts from rural India to global corporations. Recent publications (2023-2025) reveal intensifying focus on AI-human collaboration , digital risk assessment , and platform governance tensions , with growing emphasis on healthcare applications and equity implications. The trajectory shows evolution from organizational IT adoption toward complex sociotechnical systems addressing global challenges. His scientific recognition includes: Fellow of the Association for Information Systems Distinguished Fellow of the INFORMS Information Systems Society LEO Award for Lifetime Exceptional Achievement Rai has mentored over 60 doctoral students (30+ as chair) with alumni now holding leadership positions globally. His research attracts major funding from Apollo Hospitals, China Mobile, IBM, Intel, UPS, and federal agencies, enabling real-world implementations like the Global Supply Chain Solutions Program during UPS's digital transformation. Current initiatives focus on generative AI in education and healthcare IT policy impacts. As director of the Center for Digital Innovation, he cultivates cross-sector partnerships advancing digital transformation through collaborative research on AI governance, platform ecosystems, and societal impact measurement.

Karthik Dantuمشاهده پروفایل

دانشیار

• Mobile Sensor Networks
• Robot Networks
• Networked Embedded Systems
• +۸ مورد دیگر

Karthik Dantu is an Associate Professor in the Department of Computer Science and Engineering at the University at Buffalo, State University of New York, within the School of Engineering and Applied Sciences. His research focuses on mobile sensor networks, robot networks, networked embedded systems, mobile computing, wireless networks, and embedded operating systems. He leads the Distributed Robotics and Networked Embedded Sensing (DRONES) Lab and has received significant funding including an NSF CAREER Award. Dr. Dantu's educational background includes: PhD in Computer Science from University of Southern California (2009) BE in Computer Science from Sri Jayachamarajendra College of Engineering (1999) His research interests center on algorithmic and systems challenges in Edge Computing Systems, with particular focus on enabling seamless vision sensing in cloud-edge environments. Dantu's work bridges mobile systems and robotics, developing novel approaches for UAV software, visual SLAM, and distributed sensing. His research addresses critical challenges in resource-constrained environments, security, and real-time performance for mobile and robotic systems, with emphasis on practical implementations that solve real-world problems in autonomous systems. Dr. Dantu's publication record shows a strong trajectory in mobile systems and robotics research, with increasing focus on edge computing applications for visual sensing. His recent work demonstrates expertise in adapting visual SLAM to edge environments, securing mobile systems through technologies like Rushmore, and developing novel approaches for UAV software reliability and depth sensing. The research spans theoretical algorithms and practical system implementations, with particular strength in bringing academic research to practical applications in robotics and mobile computing. Dr. Dantu has received several scientific honors: NSF CAREER Award on Enabling Seamless Vision Sensing in Cloud-Edge Systems Outstanding service award from the Office of International Services NSF Travel Grant for SenSys 2005 Conference Travel Grant for SIGCOMM 2002 As an advisor, Dr. Dantu has mentored numerous PhD students to completion, with graduates now working at companies like Samsung Research and Zoox Inc., or continuing academic careers as Assistant Professors. His research is supported by substantial grants including a DARPA OFFSET Sprint 4 award ($470k), an NSF CAREER award ($550k), and multiple NSF collaborative grants totaling over $1.5 million. He serves on numerous conference committees including Mobicom, MobiSys, and ICRA, demonstrating leadership in the mobile systems and robotics research communities. Dr. Dantu leads the Distributed Robotics and Networked Embedded Sensing (DRONES) Lab at UB, which focuses on developing algorithms and systems for mobile sensor networks, robot networks, and embedded sensing applications. The lab's work spans theoretical foundations to practical implementations, with particular expertise in UAV systems, visual SLAM, and edge computing for robotics, maintaining strong collaborations with industry partners and other academic institutions to advance the state of the art in mobile and robotic systems.

Asier Monevaمشاهده پروفایل

پژوهشگر

• Criminology
• Cybercrime
• Environmental Criminology
• +۴ مورد دیگر

Dr. Asier Moneva is a Postdoctoral Researcher at the Netherlands Institute for the Study of Crime and Law Enforcement (NSCR) and The Hague University of Applied Sciences , specializing in cybercrime , environmental criminology , and situational crime prevention . His work focuses on offender decision-making in cyberspace, cybercrime victimization patterns, and the application of data science to crime analysis. Education : PhD in Criminology (2020), Master in Crime Analysis and Prevention (cum laude, 2017) from Miguel Hernández University. Current Role : Analyzing cybercrime patterns through environmental criminology frameworks and data science methodologies. Moneva's research examines longitudinal offending patterns in cybercrime, particularly through analyses of web defacement archives ( Zone-H data) and hacker behavior. His studies reveal extreme concentration of cybercrime among chronic offenders, with 2.9% of hackers responsible for 68.5% of defacements. He also investigates repeat victimization dynamics in digital environments and the effectiveness of warning banners as deterrents. Recent publications focus on ransomware payment decisions by SMEs, stolen data markets on Telegram, and the intersection of familial relationships with cybercrime involvement. His work combines quasi-experimental designs , crime scripting , and conjunctive analysis to develop prevention strategies.

• Educational Leadership
• Policy Development
• Educational Policy Analysis
• +۶ مورد دیگر

Dr. Andrea K. Rorrer is a full-time Professor at the University of Utah's College of Education, Department of Educational Leadership and Policy, and serves as Director of the Utah Education Policy Center (UEPC). With 35 years of education experience, she has held roles as a teacher, principal, policy analyst, and researcher. Her academic career at the University of Utah includes promotions from Assistant Professor (2002-2009) to Associate Professor (2009-2014) and Professor since 2014, alongside serving as Associate Dean for Research from 2014-2023. PhD in Educational Leadership & Policy, University of Texas at Austin (2001) MS in Educational Leadership & Policy, University of Virginia (1995) Dr. Rorrer's research focuses on the intersection of educational leadership, policy implementation, and systemic change with equity as a central theme across early childhood, K-12, and higher education. Her work examines leadership preparation programs, charter school effectiveness, policy mediation, and institutional factors affecting educational outcomes. Recent publications highlight: Leadership preparation program features influencing career intentions (2025) Personalized learning software's impact on teacher-student dynamics (2024) Turnaround reform frameworks (2018) Charter school mobility patterns (2019) Homeschool policy analysis (2012) Scientific recognition includes: UCEA Master Professor Award (2020) College of Education Research Award AERA Dissertation Award (2001) Culbertson Award for early-career contributions Mentorship has been central to her career, with 35 doctoral chairs and 44 committee memberships since 2002. Current teaching activities include Thesis Research and Ed.D. Capstone Project courses.

Michael Beurskensمشاهده پروفایل

استاد

• Private Law
• Business Law
• Digital Law
• +۵ مورد دیگر

Prof. Dr. Michael Beurskens is a faculty member at the Faculty of Law of the University of Passau , holding the Chair of Private Law, especially Business Law and Digitalisation . His work integrates Private Law , Competition Law , and Intellectual Property Law with Digitalization challenges, focusing on AI regulation, data access, and GDPR compliance. Academic Background: LL.M. in Intellectual Property Rights (University of Chicago) LL.M. in Gewerblicher Rechtsschutz Attorney-at-Law (New York) Habilitation: University of Düsseldorf, 2007 His research interests span the legal frameworks governing online platforms (Digital Markets Act, Digital Services Act), data trading (Data Act, Data Governance Act), AI regulation (AI Act), and copyright (InfoSoc Directive, DSM Directive). He emphasizes practice-oriented research and team-based academic collaboration , including social activities like weekly lunches and access to central ice cream supplies. Key teaching activities include courses on Corporate Law , Commercial Law , Law of Obligations , and Intellectual Property , with a focus on e-learning projects such as Schuldrecht AT Online and Gesellschaftsrecht Online. He advocates for student-led research and early publication opportunities . The chair actively promotes women in science through preferential employment and intensive supervision. It also develops legal tech tools like Visilex (jurisprudence flashcards) and CASIM (case simulation software).

• Institutions And Policy Processes
• Intelligent Transportation Systems Policy And Institutions
• Internet Governance Institutions And Policy
• +۵ مورد دیگر

Hans Klein is an Associate Professor and Director of Undergraduate Studies at the Jimmy and Rosalynn Carter School of Public Policy, part of the Ivan Allen College of Liberal Arts at Georgia Institute of Technology. His research focuses on institutions and policy processes related to large technical systems like the Internet and surface transportation. He has held visiting roles at Princeton University, the Hertie School of Governance, and the Paris School of Mines. Education: Ph.D. in Political Science, MIT (1996) M.S. in Technology and Policy, MIT (1993) B.S. in Electrical Engineering & Computer Science, Princeton University (1983) Research Interests: Internet governance, globalization, and democratic accountability mechanisms Media institutions, digital persuasion, and propaganda Intelligent transportation systems (ITS) policy and institutional design Urban transit policy, including the Atlanta Beltline project Social construction of technology and policy frameworks Professional Experience: Prior roles as software developer, international marketer, and policy analyst Service on advisory committees for ICANN, the Transportation Research Board, and Atlanta’s Telecommunications Policy Advisory Committee Presentations on information warfare and political warfare at institutions like the US Special Operations University Advising & Grants: Contributed to policy design for ICANN, ITS national programs, and the Atlanta Beltline Recipient of DAAD and Chateaubriand fellowships for international academic collaborations Labs & Teams: Active in interdisciplinary policy teams focused on transportation infrastructure, digital governance, and media ethics.

Lucas Intronaمشاهده پروفایل

استاد

• Technology Ethics
• Information Technology and Society
• Phenomenology of Technology
• +۵ مورد دیگر

Lucas Introna is a Distinguished Professor of Organisation, Technology, and Ethics at Lancaster University's Management School. He holds a BCom, BA (Hons), MBA, and PhD. His research focuses on the ethical and social implications of technology, particularly information systems, informed by phenomenology and process philosophy. He has served as Associate Dean for Research (2010-2016) and Head of the Organisation, Work and Technology Department (2007-2010). **Research Interests:** Sociomateriality and performativity Ethical implications of IT (privacy, surveillance) Political studies of technology design Plagiarism and cultural values Virtuality and embodiment **Recent Work Trends:** His publications explore algorithmic governance, digital ethics, and the interplay between technology and social structures. Notable themes include blockchain trust dynamics, refugee precarity, and the ethical dimensions of facial recognition systems. **Awards:** IFIP Outstanding Service Award **Grants & Roles:** Co-founder of the Centre for the Study of Technology and Organisation Member of multiple ethics committees and editorial boards Visited professor at University of Amsterdam **Labs/Groups:** Affiliated with the Centre for Technological Futures and the Society Management and Society group.

Ranjit Lallمشاهده پروفایل

دانشیار

• International Political Economy
• Political Economy of International Cooperation
• Technological Change
• +۴ مورد دیگر

Ranjit Lall is an Associate Professor of International Political Economy at the University of Oxford's Department of Politics and International Relations, and a Fellow of St John's College. His research focuses on international cooperation, development, technological change, and methodological innovations in machine learning and missing data analysis. He holds a PhD from Harvard University and a BA from Oxford, and has been recognized with the Merze Tate Award and Leamer-Rosenthal Prize for his work. Education : PhD in Government (Harvard University), BA in Philosophy, Politics, and Economics (University of Oxford) Affiliations : St John's College Fellow, Oxford's International Relations Network His research explores how international institutions function, leveraging computational tools like MIDASpy for missing data imputation. Key interests include civil society influence on global governance, accountability mechanisms, and the political economy of technological change. He previously worked at the Bank of England and Financial Times before academia. Recent Research Trends : Articles emphasize institutional performance metrics, pandemic-era voting behavior, and AI governance frameworks. His work bridges theoretical political science with practical computational methods. Awards : 2020 Leamer-Rosenthal Prize, 2018 Merze Tate Award Advising : Supervises six graduate students in international relations and political economy Lall collaborates on open-source projects such as the MIDAS software for data imputation and actively contributes to debates on transparent social science research practices.

Christopher T. Bavitzمشاهده پروفایل

استاد بالینی

• Intellectual Property Law
• Media Law
• Technology Law
• +۵ مورد دیگر

Christopher T. Bavitz is the WilmerHale Clinical Professor of Law and Vice Dean for Experiential and Clinical Education at Harvard Law School. He serves as Managing Director of the Cyberlaw Clinic at the Berkman Klein Center for Internet & Society and is a Faculty Co-Director of the Center. His expertise spans intellectual property, media law, AI governance, and technology policy. Bavitz teaches courses like Music & Digital Media and Counseling and Legal Strategy in the Digital Age . His research focuses on algorithmic fairness, intermediary liability, and regulatory frameworks for emerging technologies. Bavitz holds a B.A. from Tufts University and a J.D. from the University of Michigan Law School. Before joining HLS, he was Senior Director of Legal Affairs at EMI Music and practiced litigation at Sonnenschein Nath & Rosenthal. Key initiatives include work on the Lumen Database for transparency in content takedowns, the AGTech Forum for state attorneys general, and policy analysis on AI ethics, facial recognition, and algorithmic risk assessment tools. He advises on startup legal strategy, digital finance, and generative AI accountability.

Yulia Gelمشاهده پروفایل

استاد

• Uncertainty Quantification
• Artificial Intelligence
• Topological Data Analysis
• +۶ مورد دیگر

Yulia Gel is a Professor in the Department of Statistics at Virginia Tech and serves as a Part-Time Program Director-Expert at the National Science Foundation (NSF). She holds a MSc (summa cum laude) and PhD in Mathematics from Saint Petersburg State University (Russia) and completed a postdoc in Statistics at the University of Washington. Her research focuses on uncertainty quantification in AI, statistical foundations of data science, spatio-temporal processes, and applications in climate science, healthcare, and blockchain analytics. She has received prestigious awards including the NSF Director’s Award (2023), ASA Distinguished Achievement Medal (2018), and TIES Abdel El-Shaarawi Award (2014). Gel has led grants on wildfire prediction, climate informatics, and blockchain data science. She serves on editorial boards of Statistica Sinica, Electronic Journal of Statistics, and Technometrics, and organizes workshops on AI for climate sustainability and fragile Earth systems. Her research group develops topological and geometric methods for graph neural networks, with applications to digital twins, environmental justice, and public health. Education: MSc (1997), PhD (2000) in Mathematics from Saint Petersburg State University; Postdoc in Statistics at University of Washington (2001–2003). Past roles include Professor at University of Texas at Dallas (2015–2024) and Associate Professor at University of Waterloo (2004–2014). Selected visiting positions include NASA Jet Propulsion Lab (2016–2017) and Isaac Newton Institute (2016–2017). She has pioneered statistical software packages like snowboot and funtimes for network inference and time-series analysis. Awards highlight her contributions to environmetrics and statistical methodologies. Current projects include NSF-funded research on AI-driven wildfire prediction and blockchain analytics for climate resilience. Her lab’s recent work emphasizes topological methods (e.g., zigzag persistence) for graph-based forecasting and adversarial robustness.

• Sustainable Construction
• Environmental Engineering
• Civil Engineering
• +۳ مورد دیگر

Alan Duggan is a Research Fellow in the Department of Building & Civil Engineering at the University of Galway, affiliated with the Engineering Research Group (ERG). His work focuses on sustainable construction practices, environmental engineering, and the environmental impact of infrastructure projects, particularly in peatland regions. He specializes in carbon footprint analysis, geotechnical challenges in peatland construction, and the development of low-carbon materials and techniques. Principal Investigator in ERG Focus areas: Peatland rehabilitation, carbon sequestration in construction materials, and sustainable transportation infrastructure His research integrates geotechnical engineering with environmental science, addressing challenges in ground improvement, drainage systems, and carbonation processes. Key contributions include studies on stabilized peat as a carbon sink and embodied carbon analysis in motorway construction. His publications span environmental sustainability, material science, and infrastructure planning, emphasizing practical solutions for reducing environmental impact in construction projects.

George Chalhoubمشاهده پروفایل

استادیار

• Cybersecurity
• Privacy and Data Protection
• Human-Computer Interaction
• +۱۲ مورد دیگر

Dr. George Chalhoub is a Lecturer (Assistant Professor) in Human-Computer Interaction at the UCL Interaction Centre (UCLIC), Department of Computer Science, University College London (UCL). He is also an Associate Member at the Department of Computer Science, University of Oxford, and a 2024–2025 Berkman Klein Fellow at the Berkman Klein Center for Internet & Society, Harvard Law School, Harvard University. His multidisciplinary research bridges cybersecurity, privacy, and human-centered computing, focusing on real-world technology use. DPhil in Cyber Security, University of Oxford (supported by Information Commissioner’s Office) MSc in Computer Science, University of Southampton (supported by Lloyd’s Register) BS in Computer Science, Lebanese American University His research centers on the security, privacy, and safety of digital technologies through a user-centered lens. Key areas include AI-powered systems (e.g., LLMs, smart assistants), emerging technologies in the wild (e.g., smart homes, IoT), embedded devices (e.g., routers), marginalized communities, data workers in AI, and online content creators. His work integrates UX principles to improve data protection in healthcare (e.g., NHS records) and children’s apps, with implications for GDPR compliance and responsible AI innovation. The analysis of his recent publications reveals a consistent focus on empirical studies of user experience in security and privacy, particularly in smart homes and data-intensive applications. His work spans design interventions, ethical frameworks, and policy-relevant findings, published in top venues like CHI, CSCW, SOUPS, and IJHCS. Themes include consent design, communal privacy, vulnerability patching, and developer support for privacy. UK Global Talent Visa recipient, UK Research and Innovation 2024–2025 Berkman Klein Fellow, Harvard University Dr. Chalhoub has advised on research projects related to secure networking by design and responsible AI (e.g., EWADA, RoboTIPS). He has received grant support from the Information Commissioner’s Office for his doctoral work. He is available for consultancy, collaborative research, grant assessment, and supervision of research degrees. His professional experience includes internships at Microsoft Research (Calc Intelligence) and Nokia Bell Labs (Social Dynamics), contributing to projects in AI and social computing. He is affiliated with research groups including the Human-Centered Computing group at Oxford, the UCL Interaction Centre (UCLIC), and the Berkman Klein Center at Harvard. His work is supported by tools and frameworks developed in collaboration with interdisciplinary teams focused on cybersecurity ethics, data governance, and platform accountability.