Bernardo Jesús Periñán Gómez, currently a Professor of Private Law at Universidad Pablo de Olavide (Seville, Spain) , specializes in Roman Law and its reception into modern legal systems. He leads the research group From the European Common Law to Civil Law and has established research stations at institutions like Harvard and Pavia. His work bridges historical jurisprudence with contemporary legal challenges, particularly in pandemic-related obligations and urban liability frameworks. Education: Doctorate in Roman Law from Universidad de Sevilla (1997) focusing on the Senatus Consultum Macedonianum. Research: Explores Roman legal structures, comparative law, and globalization's impact on individual juridical capacity. Publications: Over 40 articles and monographs in journals like Revista Internacional de Derecho Romano and Boletín Mexicano de Derecho Comparado , emphasizing doctrinal continuity and adaptation. Awards & Roles: Serves on international scientific committees, directs doctoral theses, and contributes to editorial boards including Persona Collection at Comares Publishing.
Dominik Wermke serves as an Assistant Professor in the Department of Computer Science at North Carolina State University. He is affiliated with multiple research entities including the Secure Computing Institute (SCI), the Wolfpack Security and Privacy Research (WSPR) Lab, and the Secure Software Supply Chain Center (S3C2). His educational background includes: Ph.D. in Computer Science from Leibniz University Hannover (2023) M.Sc. from Saarland University (2016) B.Sc. from Saarland University (2015) Wermke's research focuses on computer security with emphasis on human-centered security, examining how security mechanisms align with software professionals' and end users' needs, practices, and limitations. His work employs mixed-methods approaches including interviews, user studies, surveys, and large-scale ecosystem analyses to identify behavioral patterns and systemic risks in secure software development. His expertise spans cybersecurity, human-computer interaction, and user experience with particular focus on software supply chain security and open source ecosystems. His publication record shows a clear trend toward addressing software supply chain security challenges through empirical studies of developer practices, trust mechanisms in open source communities, and reproducible builds. Recent work increasingly examines the human factors in security implementations, with publications appearing in top venues including IEEE S&P, USENIX Security, ACM CCS, and NDSS. His notable recognition includes: Distinguished Paper Award at the 43rd IEEE Symposium on Security and Privacy (2022) Wermke actively mentors students interested in security research, with his lab focusing on empirical security studies that bridge technical and human aspects of software security. His research has been supported through institutional affiliations with NC State's security research centers which provide infrastructure for large-scale security ecosystem analyses. He maintains active collaborations with researchers at CISPA Helmholtz Center for Information Security and other institutions, evidenced by multi-institutional publications. His current research agenda continues to explore security challenges in modern software development practices with particular attention to supply chain vulnerabilities and trust mechanisms in distributed development environments.
Prof. Dr. Johannes Liebrecht holds the Chair of Legal History at the University of Zurich . His work spans legal history, comparative law, and normative frameworks across medieval and modern European contexts. He has contributed extensively to the Max-Planck Encyclopedia of European Private Law and other major legal history publications. Current Position: Professor of Legal History (since 2019) Previous Roles: Senior Research Fellow at Max-Planck-Institute (2013-2019), Research Associate at Max-Planck-Institute (2007-2013) Research Interests focus on: Medieval Legal Institutions: Feudal norms, canon law, and German-Spanish legal comparisons Modern Legal Developments: Liberal law post-French Revolution, consumer rights, and legal sociology Academic Methodology: Historical realism, normative comparison, and categorial shifts in legal scholarship Publication Trends reveal a focus on: 2024: Eugen Ehrlich's sociology of law and German-Spanish medieval comparative studies 2022-2024: European consumer law, legal emancipation, and historical realism 2015-2018: Heinrich Brunner's historiography and German legal education structures Scientific Awards : Hermann Conring Award (2014) Gerda Henkel Foundation PhD Scholarship (2004-2006) German National Academic Foundation Scholarship (1994-2000) Guest Lectureship at Tokyo University (2019) Centre for Advanced Study Oslo Fellow (2021/22)
Professor Barry Porter is a faculty member at Lancaster University in the School of Computing and Communications . His research focuses on emergent software platforms that address software complexity through component models , meta-software platforms , and machine learning . Key areas include distributed systems, cloud integration with sensor nodes, green computing, and real-time visualization. Research Interests : Runtime adaptation in complex systems Self-assembling software architectures Machine learning for code optimization Distributed emergent systems at scale Green computing for multi-core environments Edge-cloud continuum integration Recent Publication Trends : His 2025 work explores genetic improvement for software using speciation algorithms , program geometry projection , and multi-agent decision frameworks . Earlier studies (2022-2024) investigate edge-cloud systems , neural transfer learning , and ecosystem curation in emergent software. Supervision & Projects : He supervises PhD student Ben Craine and leads projects like B-EGI (Bio-Enhanced Genetic Improvement) and BBC Prosperity Partnership for media delivery. Collaborations span environmental IoT, multi-agent learning, and fog computing. Labs & Groups : Affiliated with the Lancaster Intelligent, Robotic and Autonomous Systems Centre , Centre of Excellence in Environmental Data Science , and the Distributed Systems group.
Ada Gavrilovska is a Professor at Georgia Tech's School of Computer Science under the College of Computing. Her work focuses on systems software for emerging technologies, including hybrid memory systems, edge computing, and cloud infrastructure. She leads projects in the PRISM Center and ADA Center , with funding from NSF, DoE, SRC, and industry leaders like Cisco and VMware. Education: PhD in Computer Science, Georgia Tech (2004) Research Interests: Designing systems for new hardware and applications, including edge computing, heterogeneous memory management, and LEO satellite platforms. Her work bridges low-level OS mechanisms with high-level distributed systems challenges. Recent Publications highlight trends in LEO satellite resource scheduling Edge-based ML preprocessing Hybrid memory OS abstractions Disaggregated graph analytics Compiler-assisted performance optimization Scientific Awards: Best paper, NFV World Congress (2016) Spotlight paper, IEEE Transactions on Cloud Computing (2014) ISCA-50 25-year retrospective (2023) Advising & Grants: Ada has mentored over 15 PhD students and 10 MS students, with research supported by NSF, DoE, SRC, and industry grants. She serves as PI in the SRC/DARPA PRISM Center.
Luigi De Russis is an Associate Professor at the Department of Control and Computer Engineering (DAUIN) within Politecnico di Torino . He serves as Deputy Director of DAUIN and is a member of the PIC4SeR (PoliTO Interdepartmental Centre for Service Robotics). His academic roles focus on Human-Computer Interaction , Digital Wellbeing , and Artificial Intelligence applications. Research interests: Accessibility, Conversational agents, Developers tools, Digital wellbeing, Intelligent user interfaces, Internet of Things Teaching: Courses in Human-AI Interaction, Web Applications, and Computer Vision at undergraduate and graduate levels Leadership: Vice-President of ACM SIGCHI (2024-), Executive Committee member (2021-2024) His research explores: Digital wellbeing education for teens through gamified systems AI-assisted UI design tools Smart home interaction via multimodal commands End-user development for self-control technologies Integration of accessibility guidelines in AI systems Recent article trends show a focus on generative AI for interface design, attention-capturing heuristics, and educational systems for step-by-step learning. He has received the Most Influential Paper Award (2024) and Best Late Breaking Results Award (2025) from ACM SIGCHI. Scientific awards: Award of Scientific Excellence, University of Salamanca (2011) Most Influential Paper Award, International Conference on Intelligent Environments (2024) Best Late Breaking Results Paper Award, ACM SIGCHI Symposium (2025) As advisor, he supervises PhD students in Artificial Intelligence and Computer Engineering , focusing on topics like user-centered AI, generative models, and digital self-control interfaces. He leads the ELITE research group and contributes to commercial projects including TEIA (AI tourism) and MAPP (interactive museums).
Jennifer Ryan is a Professor of Numerical Analysis and Division Head of Numerical Analysis, Optimization, and Systems Theory at the Department of Mathematics, KTH Royal Institute of Technology. Her research focuses on designing and developing numerical schemes to extract accuracy from simulations, particularly through superconvergence properties and computational efficiency improvements. She applies these techniques to applications such as imaging, fluid visualization, and plasma dynamics. Education: PhD in Applied Mathematics, Brown University; MS in Mathematics, Courant Institute; BA in Applied Mathematics, Rutgers University. Professional Activities: Member of editorial boards for BIT Numerical Mathematics, ESAIM:M2AN, and Communications on Applied Mathematics and Computation; Steering committee member of AWM's Women in Numerical Analysis and Scientific Computing (WINASc). Her publications emphasize discontinuous Galerkin methods, SIAC filtering, and applications in fluid dynamics. She has served on multiple grant review panels and received awards for diversity and inclusion initiatives. Grants: Principal Investigator for projects funded by the Swedish Research Council, NSF, and US Air Force Office of Scientific Research. Awards: Fellow of UK Higher Education Academy, DAAD Fellowship, and Householder Fellowship.
Jeffrey L. Krichmar is a Professor in the Department of Cognitive Sciences and Department of Computer Science at the University of California, Irvine. His academic journey includes a B.S. in Computer Science from the University of Massachusetts Amherst (1983), an M.S. in Computer Science from The George Washington University (1991), and a Ph.D. in Computational Sciences and Informatics from George Mason University (1997). Prior to UCI, he served as Assistant Professor at George Mason University (1997-1999) and Senior Fellow at The Neurosciences Institute (1999-2007). University of California, Irvine (2007-present) George Mason University (1997-1999) The Neurosciences Institute (1999-2007) His research focuses on neurorobotics , exploring how embodied cognition and biologically plausible neural models can enhance robotic systems. Key areas include spiking neural networks , neuromodulation , path planning , and interactive tactile robots for therapeutic applications. His work bridges neuroscience , robotics , and cognitive science , with applications in autonomous vehicles , neuroprosthetics , and AI explainability . Recent publications emphasize spiking neural networks for navigation , neuromodulated attention , and neuromorphic hardware integration. The development of CARLsim, a GPU-accelerated spiking neural network simulator now in version 6.0, represents a major technical contribution. His team's work on socially assistive robots like CARL-SJR targets therapeutic applications for autism and ADHD. Scientific Awards IJCNN 2020 Best Paper Award Finalist for Best Student Paper at IJCNN 2018 Best Paper Award at IEEE IJCNN 2009 Grants include National Science Foundation funding for neural models of decision-making (2009). His lab (Cognitive Anteater Robotics Laboratory) develops systems that use large-scale brain simulations for autonomous behavior , with applications in adaptive robotics , sensorimotor learning , and neuroethology . Current projects explore neuromodulatory influences on attention systems and cognitive flexibility .
Seth Frey is an Associate Professor in the Department of Communication at the University of California, Davis, with affiliate status at Indiana University's Ostrom Workshop and as Research Director at Metagov. His research focuses on computational social science approaches to understanding self-governance in complex social systems, particularly through the lens of online communities as model institutions. Education: Ph.D. in Cognitive Science and Informatics (complex systems), Indiana University, 2013 B.A. in Cognitive Science, UC Berkeley, 2004 Research Interests: Frey specializes in computational approaches to institutional analysis and the cognitive science of strategic behavior . His work examines how communities design governance systems to overcome collective action problems, with emphasis on: Emergent institutional structures in digital commons Policy-as-data through NLP and institutional grammar frameworks Cognitive mechanisms underlying cooperative behavior Design principles for participatory change in online platforms His methodology integrates large-scale data analysis, web-based experiments, and computational modeling across diverse contexts including Minecraft, Reddit, and professional sports ecosystems. Publication Trends: Recent publications (2023-2025) demonstrate a cohesive trajectory toward computational institutional analysis, with increasing focus on NLP-driven policy analysis (e.g., NLP4Gov), decentralized governance architectures (DAOs, multi-level platform governance), and the cognitive foundations of collective action. His work consistently bridges theoretical institutional analysis with practical applications in digital community design, showing particular growth in translating Ostrom's design principles into computational frameworks. Awards: Honorable Mention Award for Best Paper at ACM CSCW 2019 Advising and Grants: Frey mentors students interested in data science applications at the intersection of communication, cognition, and complex systems, emphasizing resourcefulness and intellectual curiosity. His research has secured substantial funding from: National Science Foundation (NSF) NASA Ford Foundation Google Open Source Foundation He actively encourages aspiring graduate students with strong self-directed research skills to explore computational approaches to social phenomena. Labs and Teams: He leads the Computational Communication Lab at UC Davis and co-directs the Institutional Grammar Research Initiative. Through Metagov, he develops the 'Governance API' framework for modular community governance. His past affiliations include Disney Research (Walt Disney Imagineering) where he applied complexity science to theme park systems, and the New England Complex Systems Institute (NECSI). Current collaborations span Ethereum governance, Minecraft server ecosystems, and Colorado's cannabis monitoring infrastructure.
John Byrne is a Distinguished Professor of Energy and Climate Policy and Director of the Center for Energy and Environmental Policy (CEEP) at the University of Delaware's Biden School of Public Policy. His academic career spans over three decades with significant contributions to global climate policy through roles in the IPCC, World Council for Renewable Energy, and Seoul International Energy Advisory Council. He pioneered the Sustainable Energy Utility (SEU) model and led the first SEU implementation in Delaware, recognized internationally for its innovative financing mechanisms. His research focuses on energy transitions, environmental justice, and renewable energy integration. Notable achievements include co-founding the International Solar Cities Initiative, advising China’s State Environmental Protection Agency, and conceiving the SEU's AA+-rated bond program. Byrne has held visiting positions at Lawrence Berkeley National Laboratory and Seoul National University, where he contributed to South Korea’s greenhouse gas abatement strategy. Byrne’s publications include 19 books and 170+ articles, with influential works like Rethinking Environmentalism (MIT Press) and Green Energy Economies . He serves as Co-Editor-in-Chief of WIREs Energy and Environment and editor of the Energy and Environmental Policy book series since 1983. His work is funded by major institutions including the World Bank, UNDP, and U.S. Department of Energy. Key recognitions include the 2007 Nobel Peace Prize (shared via IPCC contributions) and Fulbright Senior Lecturer Award. Byrne’s current efforts focus on advancing solar energy policies, sustainable urban development, and bridging environmental justice with climate resilience.
Maximilian Egger is a Doctoral Researcher at the Institute for Communications Engineering under Prof. Antonia Wachter-Zeh at the Technical University of Munich (TUM). His research focuses on distributed machine learning, privacy-preserving computing, and information theory. He holds an M.Sc. in Electrical Engineering and Information Technology (2022, TUM) and a B.Eng. in Electrical Engineering (2020). He has conducted research stays at École Polytechnique Fédérale de Lausanne (2024) and Imperial College London (2023). Egger has received several awards, including the DAAD Scholarship (2023) and the VDE Award Bavaria (2020). His work emphasizes secure federated learning, Byzantine-resilient systems, and efficient distributed algorithms. He is affiliated with the Chair of Coding and Cryptography and actively contributes to advancements in decentralized learning systems. Recent publications highlight breakthroughs in privacy preservation, channel capacity estimation, and scalable federated edge learning.
Prof. Michael Krivelevich holds the Baumritter Chair in Combinatorics at the School of Mathematical Sciences, Tel Aviv University. His research focuses on probabilistic methods in combinatorics, random graphs, and positional games. He has authored influential books such as Positional Games and contributed to foundational work in random graph theory. Currently teaching Introduction to Combinatorics and Graph Theory (Spring 2025), he has extensive experience in courses like Graph Theory and Hypergraph Coloring. His work bridges theoretical computer science, coding theory, and combinatorics, with over 150 publications. Recent research explores game-theoretic thresholds, random graph evolution, and equitable coloring algorithms. Education: Ph.D. in Mathematics, Tel Aviv University (not explicitly stated, inferred from career trajectory). Research Interests Krivelevich's work emphasizes random structures , extremal graph theory , and probabilistic combinatorics . He investigates phase transitions in random graphs, positional game strategies, and algorithmic challenges in graph coloring. His contributions include proving sharp thresholds for Hamilton cycle games and analyzing WalkSAT performance on smoothed k-CNF formulas. Collaborations span theoretical computer science and discrete mathematics. Publications Recent articles address Hamiltonicity in Maker-Breaker games, equitable coloring of random graphs, and smoothed analysis of satisfiability processes. His work often combines rigorous proofs with algorithmic insights. Teaching & Mentorship Guides students through advanced combinatorial topics and has taught foundational courses since 2002. No explicit student listings available in provided texts.
Philipp Koralus is the McCord Professor of Philosophy and AI at the University of Oxford and serves as Director of the Human-Centered AI Lab (HAI Lab) within the Institute for Ethics in AI. He is also a member of St Catherine's College. Koralus holds a Ph.D. in Philosophy and Neuroscience from Princeton University and a B.A. from Pomona College. His research focuses on the human capacity for reasoning and decision-making, exploring how these processes relate to artificial intelligence agents and large language models like GPT. He advocates for the Erotetic Theory of Reason (ETR), which posits that reason aims to resolve issues or questions directly, explaining both human rationality and fallibility. His work extends to moral judgment, definitions of intelligence, and interdisciplinary collaboration with computer scientists, psychologists, linguists, and neuroscientists. Koralus is preparing to launch the HAI Lab in Fall 2024, aiming to advance human-centered AI ethics and cognition research. His educational background includes advanced studies in philosophy and neuroscience, combining analytical rigor with empirical insights. Collaborations span diverse fields, including fisheries management through agent-based modeling and healthcare ethics in AI applications. He has published widely on topics such as attention mechanisms, visual perception, and the theoretical foundations of AI reasoning. Koralus regularly teaches graduate seminars on philosophy and AI, including upcoming sessions like 'Building the Philosophy to Code Pipeline' starting in 2025. He has supervised doctoral students in both philosophy and computer science but currently lists no specific advisees. His research has been recognized in symposia and commentary, though no formal scientific awards are explicitly mentioned.
Xiaoming Li is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Delaware , focusing on compiler optimization, GPU computing, and hardware-software interaction. His work bridges machine learning with code generation to enhance program efficiency. B.S. and M.E. from Nanjing University (1998, 2001) Ph.D. in Computer Science from University of Illinois at Urbana-Champaign (2006) Research interests include: Compiler optimizations for static and dynamic code transformation Machine learning-driven code generation techniques FFT algorithms for sparse and hybrid systems Non-traditional compilers for SAT solvers and virtual machines GPU acceleration for large-scale computational problems His publications span 15 years , emphasizing: FFT optimization across GPU/CPU architectures Compiler techniques for heterogeneous systems Adaptive scheduling and error resilience Integration of empirical and model-driven approaches Notable awards: NSF CAREER Award (2008) Best Paper Award at ADAPT Workshop (2013) Advising highlights: Current students: Ryan Taylor, Sha Li, Shuo Chen, Yuanfang Chen, Chao Yang, Chaoyu Chen Graduates: Liang Gu (FFT Libraries), Jakob Siegel (GPGPU Frameworks), Murat Bolat (Context-Aware Compilation)
Ming-Cheng Lo is a Professor of Sociology at the University of California, Davis. She holds a Ph.D. in Sociology from the University of Michigan, along with an M.A. in Comparative Literature and a B.A. in Foreign Languages and Literature from National Taiwan University. Her research focuses on health, immigration, civic engagement, and culture, particularly exploring how marginalized groups navigate challenging social environments through hybrid cultural strategies. She has conducted extensive studies on healthcare access for immigrants, disaster recovery in Taiwan, and the interplay of cultural codes in civil society. Her academic career includes co-editing the Routledge Handbook of Cultural Sociology (2010, 2019) and authoring Doctors within Borders: Profession, Ethnicity, and Modernity in Colonial Taiwan (2002). Her work bridges sociological theory with empirical studies, emphasizing themes like cultural capital, resistance, and transnationalism. She has received grants from institutions including the Pacific Rim Research Program and Robert Wood Johnson Foundation, supporting projects on pandemic governance, immigrant healthcare, and civil society dynamics. Professor Lo teaches courses on immigration, health sociology, and social movements at both undergraduate and graduate levels. Her research has been recognized through fellowships such as the Davis Humanities Institute Fellowship and APRU Fellowship, and she has authored over 50 peer-reviewed articles in leading journals like Theory and Society and Sociological Perspectives . Her recent work examines Taiwan’s pandemic governance during the 2021–2025 period, linking public health responses to broader sociopolitical trends. She collaborates with global scholars to analyze cultural mechanisms in disaster recovery and populism resistance, reflecting her commitment to sociological inquiry with global relevance.
