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Guy EmersonView profile

Research Fellow

• Natural Language Processing
• Machine Learning
• Computational Linguistics
• +3 more

Dr Guy Emerson is a Departmental Early-Career Academic Fellow and Affiliated Lecturer in the Department of Computer Science and Technology at the University of Cambridge. He also serves as a College Lecturer at Gonville & Caius College and Executive Director of Cambridge Language Sciences. His research focuses on computational linguistics, particularly functional distributional semantics, probabilistic models, and machine learning applications in natural language processing. He explores how computational models can illuminate linguistic knowledge and advance artificial intelligence. His work integrates formal linguistic theory with data-driven methods, addressing challenges like hypernymy detection, cross-linguistic syntax, and semantic representation. Recent projects include probing lexical semantics limitations, developing scalable distributional models, and leveraging visual data for semantic analysis. Key themes include natural language processing, machine learning, and cross-linguistic studies, with publications in top venues like SemEval workshops and computational linguistics journals. His contributions bridge formal syntax, probabilistic semantics, and scalable computational techniques, emphasizing both theoretical and applied outcomes. Emerson collaborates extensively on interdisciplinary initiatives through Cambridge Language Sciences, fostering connections between linguistics, computer science, and cognitive science. His research has implications for improving NLP systems, semantic modeling, and cross-linguistic computational frameworks.

• Japanese Linguistics
• Language Acquisition
• Technology-Enhanced Language Teaching
• +1 more

Nobu Akagi is an Associate Lecturer at The University of Sydney, affiliated with the Faculty of Arts and Social Sciences. He holds a PhD in Cognitive Science from Macquarie University, specializing in language acquisition. His research focuses on Japanese linguistics, technology-enhanced language education, and positive psychology's role in language learning. Prior roles include Japanese language teaching at UNSW and Macquarie University. Education: PhD in Cognitive Science (Macquarie University) MA (Macquarie University) MAPPCC (East London University) Graduate Diploma in Learning and Teaching (Griffith University) BCogSci (University of Western Australia) Research Interests: Dr. Akagi’s work bridges formal linguistics and pedagogy. He investigates syntactic-semantic interfaces in Japanese, first/second language acquisition mechanisms, and innovative uses of technology in language classrooms. Recent projects explore how optimism influences language learning outcomes and the ethical implications of machine translation in language education. Recent Research Trends: His conference presentations highlight a dual focus on technology integration (machine translation’s impact on learners) and foundational linguistic inquiry (child language acquisition patterns). Work on Yakuwari-go in film translation showcases his interest in applied linguistics. Grants & Awards: No scientific awards listed. Teaching & Supervision: Teaches Japanese language courses at all levels. Supervises research in technology-enhanced language teaching, positive psychology applications, and syntactic-semantic interfaces. Labs/Teams: No dedicated lab mentioned, but collaborates with education technology initiatives within the Faculty.

• Partial Differential Equations
• Calculus of Variations
• Geometric Measure Theory
• +3 more

Giandomenico Orlandi is a Full Professor at the University of Verona's Department of Computer Science, affiliated with the School of Science and Engineering. He holds leadership roles including Department Director, Faculty Board member for the Interuniversity PhD in Mathematics, and coordinator of Erasmus+ partnerships. His research focuses on Partial Differential Equations, Calculus of Variations, and Geometric Measure Theory, with applications to optimal transport and mathematical modeling in industry and biology. Education: Extensive academic background in mathematics, culminating in his current professorship. Research Interests: Elliptic PDE systems, variational models in physics (superconductivity, Bose-Einstein condensation), geometric networks, and optimal transport theory. His work includes international projects like ECMI Teaching Center certification (2017) and collaborations with institutions like Grenoble INP-UGA. He has led over 20 research initiatives since 2002, focusing on topics from industrial modeling to cultural heritage imaging. His teaching spans functional analysis, mathematical analysis modules, and applied mathematics courses since 2000. Labs & Teams: Involved with Laboratorio INFOMICS, OPDATE (Formal Methods Lab), and STARS (Geographical Systems Lab). Grants: Key roles in PRIN, GNAMPA, and EU-funded projects (e.g., HPRN-CT-2002-00274).

Adrian HaretView profile

Assistant Professor

• Social Choice Theory
• Knowledge Representation
• Belief Dynamics
• +3 more

Adrian Haret is an Assistant Professor (Akademischer Rat) at the Chair of Philosophy and Decision Theory, Ludwig-Maximilians-Universität München. He holds a doctorate from Vienna University of Technology (TU Wien) and was a postdoctoral researcher at the University of Amsterdam's ILLC. His research focuses on the intersection of social choice theory and knowledge representation, exploring belief dynamics and mechanisms of fair collective decision-making. He teaches courses on game theory, democratic decision-making, and epistemic democracy. Education: PhD in DBAI (Database & Artificial Intelligence, TU Wien); Postdoc at ILLC, University of Amsterdam Research Themes: Epistemic democracy, deliberation protocols, group wisdom, formal models of cooperation His work analyzes how collective decisions achieve epistemic and normative outcomes, with contributions to Condorcet jury theorems and deliberation mechanisms. Courses emphasize applying formal methods to social phenomena like information cascades and opinion dynamics.

Andreas KapsnerView profile

Research Fellow

• Philosophy of Logic
• Non-Classical Logics
• Philosophy of Language
• +4 more

Andreas Kapsner is a Research Fellow at the Munich Center for Mathematical Philosophy (MCMP) at Ludwig Maximilian University of Munich. He holds a PhD from the University of Barcelona (2011) and habilitation from LMU (2023). His academic journey includes postdoctoral roles at MCMP, the University of Passau, and interdisciplinary collaborations in psychology and behavioral science. He has led DFG-funded projects such as 'New Logics for Verificationism' (2013–2016) and 'The Philosophical Basis of Connexive Logic' (2020–2023). Education : PhD in Logic/Philosophy (University of Barcelona, 2011) Masters in Cognitive Science (University of Barcelona, 2007) Masters in Logic and Indology (LMU, 2006) Research Interests : Focuses on philosophy of logic, non-classical logics (e.g., connexive, paraconsistent), philosophy of language, cognitive science, political philosophy, and Asian philosophies. Explores intersections between formal systems and legal discourse, privacy ethics, and behavioral ethics. Known for contributions to exactly true logic, verificationism, and logical pluralism. Publications Trends : Recent work emphasizes formal semantics of non-classical logics, applications to legal reasoning, and ethical implications of behavioral interventions. Key themes include truth values in logical systems, counterfactuals, and privacy nudge ethics. Awards : Recipient of the Beth Dissertation Prize (2012) for outstanding work in logic and language. Grants & Labs : Led major DFG-funded projects. Active in MCMP, a hub for interdisciplinary research in logic, philosophy, and mathematical methods. Collaborates on behavioral ethics and digital privacy initiatives.

Stephanie Hays-AngstromView profile

Associate Professor

• Criminology
• Criminal Justice Policy
• Victimology
• +3 more

Dr. Stephanie Hays-Angstrom is an Associate Professor specializing in Criminology and Criminal Justice. She holds a B.A. and M.H.R. from the University of Oklahoma, and an M.A. and Ph.D. from the University of Florida. Her research focuses on criminal behavior patterns, parental responsibility laws, and gender dynamics in crime and justice. She teaches courses such as Research Methods, Criminological Theory, Victimology, and Rural Sociology. Her work bridges theoretical and applied aspects of criminal justice, with notable contributions to understanding sex offender recidivism and the sociological implications of legal policies. Dr. Hays-Angstrom has co-authored influential articles in Justice Quarterly , Journal of Applied Social Psychology , and Journal of Law and Family Studies . Though no formal grants or awards are listed, her academic output reflects a commitment to advancing interdisciplinary research at the intersection of criminology, law, and sociology.

Jennifer McWeenyView profile

Professor

• Feminist Philosophy of Mind
• Philosophy of Mind
• Phenomenology
• +5 more

Jennifer McWeeny is Professor at Emerson College's Marlboro Institute for Liberal Arts & Interdisciplinary Studies and Visiting Professor II at the University of Oslo's Centre for Gender Research. Her interdisciplinary work centers on feminist philosophy of mind, phenomenology, and decolonial studies, influencing fields from critical race theory to disability studies. She earned her Ph.D. and M.A. from the University of Oregon, an M.A. from the University of Hawaii, and a B.A. from Colorado College. Her educational background reflects deep engagement with philosophical traditions and interdisciplinary scholarship. McWeeny pioneered feminist philosophy of mind, theorizing gender through self-body relations in consciousness. Her research spans phenomenology, existentialism, and decolonial theory, addressing oppression, liberation, and intersections of gender, race, and sexuality. She applies these frameworks to trauma studies, ecofeminism, and queer theory, emphasizing embodied consciousness in social contexts. Her publications reveal a trajectory toward decolonial and liberatory philosophies, integrating diverse traditions and challenging Western epistemological dominance. Recent work focuses on gender ontology and consciousness under oppression, with significant contributions to Beauvoir scholarship and María Lugones' visionary philosophy. Accolades include the Fulbright National Research Scholar Award (France 2019-2020). She serves as Editor in Chief of Simone de Beauvoir Studies and on Oxford University Press's Studies in Feminist Philosophy editorial board. McWeeny teaches Gender, Race, and Class; Existentialisms; and Decolonizing the Mind using cooperative, student-centered methods that engage emotional, spiritual, and practical dimensions. Her pedagogy fosters critical dialogue on decolonization and self-realization, though formal graduate student mentorship details aren't specified in public materials.

Zhen LiuView profile

Adjunct Assistant Professor

• Information economics
• Behavioral economics
• Financial markets
• +2 more

Liu Zhen holds dual faculty appointments as an Adjunct Assistant Professor of Teaching in the Department of Computer Science and Engineering at the University at Buffalo's School of Engineering and Applied Sciences and an Adjunct Lecturer in the Department of Economics within the College of Arts and Sciences. His interdisciplinary work bridges computational methods with economic theory, focusing on information asymmetry, behavioral decision-making, and financial market dynamics. His educational foundation includes a PhD and MA from Stony Brook University and a BA in Economics from Tsinghua University, establishing strong quantitative and theoretical grounding. These qualifications are reflected in his dual-departmental roles where he integrates technical and economic perspectives. Research interests emphasize how information structures influence market outcomes (information economics), psychological factors in economic choices (behavioral economics), and financial market mechanisms, extended through software and IT systems applications. This synthesis enables modeling of complex phenomena like investor behavior and policy impacts using computational frameworks. His publication record shows an evolution from advanced mathematical research—particularly in matrix theory and algebra—to applied economic investigations. The mathematical works provide rigorous analytical tools now leveraged in current economic studies, demonstrating methodological continuity despite disciplinary shifts. Key recognition includes: 2007 Outstanding Doctoral Student Paper Award (American Accounting Association Mid-Atlantic Regional Meeting) Research funding highlights comprise a Michigan Retirement Research Center grant (2008-2009) and a SUNY-Stony Brook Seed Grant for Survey Research (2007-2008), supporting projects on retirement literacy and survey methodologies. While no formal advisees are documented, his teaching roles involve mentoring students across computer science and economics curricula. Current collaborative work connects with University at Buffalo's interdisciplinary research ecosystem, particularly through the Center for Survey Research during his Stony Brook tenure, indicating ongoing engagement with empirical economic analysis teams.

• Economic Theory
• Behavioral Economics
• Political Economy
• +3 more

Professor Nejat Anbarci is a distinguished academic in the Business School at Durham University, specializing in Economic Theory, Behavioral Economics, and Political Economy. He earned his PhD in Economics from the University of Iowa in 1988, followed by teaching roles at U.S. universities until 2008, then in Australia, before joining Durham in 2018. His research focuses on game theory, bargaining solutions, institutional economics, and experimental economics. Notable contributions include analyses of arbitration mechanisms, evolutionary game models, and the impact of natural disasters on political systems. His work bridges theoretical and applied economics, with publications in top journals like the Quarterly Journal of Economics , Management Science , and Journal of Economic Theory . Key themes include dispute resolution efficiency, AI-driven decision-making in games, and the interplay between environmental shocks and governance. Anbarci’s research often employs experimental methods and natural experiments to explore real-world economic behaviors and policy implications. His articles span topics ranging from strategic bargaining to climate change effects on institutions, demonstrating a commitment to both foundational theory and policy-relevant insights. While no scientific awards are explicitly listed, his prolific publication record reflects sustained academic excellence. Advising and grants details are not provided in the text, but his global academic journey underscores active collaboration across institutions.

• Economics of Ageing
• Healthcare Economics
• Long-Term Care
• +4 more

Paula Cristina Albuquerque is an Assistant Professor at the Lisbon School of Economics and Management (ISEG), Universidade de Lisboa. She teaches across undergraduate, master's, and doctoral programs, coordinates the Master in Monetary and Financial Economics, and serves on the scientific commission of the PhD program in Population Sciences. Her research focuses on the economics of aging, including healthcare, long-term care, labor market dynamics, and demographic impacts on economic growth. PhD in Economics (ISEG, 2000) Aggregation in Economics (Universidade Técnica de Lisboa, 2012) Her research integrates demographic transitions with socioeconomic challenges, particularly in aging populations. Recent work examines housing cost burdens on health, labor market behavior during crises, and migration's role in pension sustainability. Publications span journals like International Review of Applied Economics and Journal of the Economics of Ageing , alongside book chapters on social exclusion and prospective economic modeling. Albuquerque's supervised master's theses explore pension disparities, catastrophic health expenditures, and aging-related economic cycles. She collaborates with the Research Centre in Economic and Organizational Sociology (SOCIUS) and contributes to academic governance via ISEG's Ethics Committee and Pedagogical Council.

Paolo MASONView profile

Researcher

• Control Theory
• Quantum Systems
• Switched Systems
• +3 more

Paolo MASON is a Researcher at the Laboratory of Signals and Systems (L2S), CentraleSupélec, located in Gif-sur-Yvette, France. His primary affiliation is within the Department of Systems and Control. His research focuses on advanced control theory, quantum systems, and switched systems, with notable contributions to Lyapunov analysis, stability criteria, and quantum feedback control. He collaborates with interdisciplinary teams such as COMEDY (Model for Control of Dynamical Systems) and SYCOMORE, addressing challenges in telecommunications, signal processing, and energy systems. Key research interests include stability analysis of switched systems, quantum control strategies, and the application of Lyapunov methods to infinite-dimensional systems. His work bridges theoretical developments with practical implementations, particularly in areas like quantum spin systems and singular perturbation modeling. Recent publications highlight advancements in observer design for switched systems and the stabilization of multiqubit states. MASON's articles reflect a trend toward rigorous mathematical foundations combined with real-world engineering applications. His 2025 work on quantum projection filters exemplifies this blend, addressing imperfections in measurement systems. Collaborations with institutions like the IEEE and Springer underscore his international academic engagement. His research also extends to interconnected systems and delay dynamics, with contributions to the converse Lyapunov theory. He is actively involved in conferences (e.g., CDC, IFAC) and co-edits technical volumes on hybrid systems. Despite no listed awards, his prolific publication record and leadership in L2S teams indicate significant academic impact.

• Theoretical Computer Science
• Mathematical Logic
• Quantum Computing
• +3 more

Dr. Kenneth W. Regan is a Professor in the Department of Computer Science and Engineering at the University at Buffalo, The State University of New York, where he is affiliated with the School of Engineering and Applied Sciences. He earned his BS in Mathematics from Princeton University in 1981 and his PhD in Mathematics from Oxford University in 1986. Dr. Regan's research spans theoretical computer science, mathematical logic, and computational complexity with a distinctive focus on chess analysis. His work bridges abstract theoretical concepts with practical applications, particularly through his "Fidelity" Chess Research project. He maintains the influential research blog "Gödel's Lost Letter and P=NP" which explores fundamental questions in theoretical computer science. His recent publications demonstrate a consistent focus on quantum computing algorithms, mathematical logic, and chess-based cognitive modeling, with significant contributions to quantum circuit simulation, complexity theory, and methods for analyzing human-computer differences in decision-making. His work has been featured in Chess Life, the New York Times, and NPR Weekend Edition. Developed innovative methods for analyzing chess games to measure cognitive tendencies Created mathematical frameworks for understanding human vs. computer decision-making patterns Contributed to quantum circuit complexity and simulation techniques As an educator, Dr. Regan teaches courses ranging from foundational theoretical computer science (CSE396) to specialized topics in quantum computing (CSE439/510) and cognitive analysis of chess data (CSE702). His teaching materials are known for their mathematical rigor and practical applications, with extensive lecture notes and resources developed over many years of instruction.

Joost JoostenView profile

Associate Professor

• Proof theory
• Formal logic
• Logic in AI and law
• +1 more

Joost Joosten is an Associate Professor at the University of Barcelona since 2015, with a focus on Mathematical Logic and its applications. He holds an ORCID and leads the Barcelona Group on Pure and Applied Proof Theory. His research spans two domains: Foundations of mathematics : Exploring questions about numbers, infinity, and formalized theorems through proof theory and metamathematics. Formal Methods in software : Developing error-free legal software and studying societal impacts of legal AI, via the spin-off Formal Vindications SL and collaborations with legal scholars. Scientific recognition : ICREA Acadèmia award recipient (2022) Ordinary member of the Academy of Europe (2024) Best Thesis and teaching awards at Utrecht University (2004) Joosten founded the Workshop on Proof Theory, Modal Logic and Reflection Principles (Wormshop) , which has hosted six editions since 2012, with the 2024 event in Ghent.

Agnès BeaudryView profile

Associate Professor

• Algebraic Topology
• Stable Homotopy Theory
• Chromatic Homotopy Theory
• +2 more

Agnès Beaudry is an Associate Professor in the Department of Mathematics at the University of Colorado Boulder, specializing in algebraic topology and stable homotopy theory. Her research focuses on chromatic homotopy theory, equivariant homotopy theory, and their connections to condensed matter physics. She develops mathematical frameworks to understand topological phases in quantum systems and studies interactions between homotopy theory and quantum physics. Beaudry investigates how algebraic topology techniques can be applied to analyze quantum spin systems and topological phases of matter. Her work reconstructs spectral sequences and duality resolutions to uncover fundamental structures in stable homotopy theory. Recent publications demonstrate her interdisciplinary approach combining mathematical physics with advanced topological methods. Her extensive publication record demonstrates consistent contributions to homotopy theory, with recent work focusing on K(2)-localization, Morava stabilizer groups, and parametrized quantum systems. She actively mentors graduate students and contributes to mathematical physics collaborations.

Chris KöcherView profile

Researcher

• Algorithms
• Theory & Logic
• Programming Languages
• +9 more

Chris Köcher is a Researcher at the Max Planck Institute for Software Systems (MPI-SWS) in Kaiserslautern, Germany. His work focuses on theoretical computer science, with a strong emphasis on formal methods, automata theory, and verification of complex systems. He leads research in areas such as algorithms, programming languages, cyber-physical systems, and security. His research bridges foundational theory and practical applications, addressing challenges in distributed systems, mobile systems, and privacy-preserving technologies. His research interests span formal language theory, verification of concurrent systems, and the analysis of storage mechanisms in automata. Notably, he has contributed to the study of queue automata, multi-pushdown systems, and the decidability of reachability problems in lossy systems. His work often intersects with theoretical computer science and algebraic structures, exploring topics like monoids and trace languages. Chris’s publications reflect a deep engagement with foundational questions in computer science, including the verification of cooperating multi-pushdown systems, the complexity of semilinear set separability, and the formal analysis of hard attention mechanisms in transformers. His research has implications for improving the reliability and security of software systems through rigorous mathematical foundations. He is affiliated with MPI-SWS, a leading research institution in software systems, and contributes to the institute’s mission to advance theoretical and applied research in computer science. His work is supported by collaborations within the institute and the broader academic community.