جست‌وجوی استاد و پژوهشگر

Bert Gordijnمشاهده پروفایل

استاد

• Bioethics
• Research Ethics
• Technology Ethics
• +۲ مورد دیگر

Bert Gordijn is Professor and Director of the Institute of Ethics at Dublin City University's School of Theology, Philosophy, and Music. His research spans bioethics, technology ethics, and global ethical frameworks. Education: Doctorate in Philosophy from Albert-Ludwigs-Universität Freiburg (1995) Doctorate in Bioethics from Radboud University Nijmegen (2003) Gordijn's scholarship examines ethical issues in emerging technologies, research integrity, and healthcare ethics. He has held visiting professorships at Georgetown University, National University of Singapore, and Lancaster University. His current work addresses AI ethics, climate policy ethics, and integrity in scholarly publishing. Recent publications focus on ethical dimensions of technological innovations, including generative AI in academia, carbon pricing mechanisms, and contributor attribution systems. His research demonstrates consistent attention to bridging theoretical ethics with practical applications in science and technology. Editorial Leadership: Editor-in-Chief of Medicine, Health Care and Philosophy Editor of International Library of Ethics, Law and Technology Editor of Advances in Global Bioethics

Jeromy Sivekمشاهده پروفایل

دانشیار

• Banach Space Geometry
• Ranked Preference Voting
• Fixed Point Theory
• +۴ مورد دیگر

Jeromy Sivek is an Associate Professor of Instruction in the Department of Mathematics at Temple University's College of Science and Technology. He joined the faculty in 2014 after earning his PhD from the University of Pittsburgh. His teaching philosophy emphasizes active learning, earning him the Dean's Distinguished Teaching Award. His research interests include: Banach Space Geometry Ranked Preference Voting and Social Choice Fixed Point Theory and Applications Collatz Conjecture Investigations Finite Differences in Partial Differential Equations Summability Theory Dr. Sivek has collaborated with numerous students on research projects, including fixed point free contractive maps, voting simulations using Python, and computational studies of the Collatz Conjecture. His work often bridges theoretical mathematics with practical applications, such as educational technology and interdisciplinary collaborations with computer science students. He has received the Dean's Distinguished Teaching Award for his innovative approaches to instruction. His advising spans undergraduate and high school student researchers, particularly through Temple's programs and external initiatives like the PGSS high school program. Jeromy Sivek is based in Wachman Hall, Room 634, and can be contacted via email at sivek@temple.edu.

Carolina Feher da Silvaمشاهده پروفایل

مدرس

• Cognitive Psychology
• Decision-Making
• Neuroimaging
• +۳ مورد دیگر

Dr Carolina Feher da Silva is a Lecturer in Psychology at the University of Surrey's School of Psychology. Her research focuses on decision-making in humans, employing methods such as behavioral experiments, computational modeling, eye-tracking, and neuroimaging. She is affiliated with the Cognitive Psychology research group and the Institute for Sustainability. Dr da Silva's work bridges cognitive psychology with sustainability, emphasizing interdisciplinary approaches to understanding human behavior. Her research interests are centered on model-based and model-free learning strategies, particularly in two-stage decision tasks. She explores how mental effort and neural mechanisms (e.g., striatal prediction errors) influence decision-making processes. Her publications often highlight the dominance of model-based reasoning in complex tasks, challenging traditional reinforcement learning paradigms. Dr da Silva has contributed to open science initiatives, including the Open Library of Bioscience and the development of the neat-python computational tool. Her work has been recognized through her fellowship at the Institute of Sustainability, reflecting her commitment to integrating environmental and social dimensions into cognitive research. Her research has been published in high-impact journals like Nature Human Behaviour , with a focus on experimental psychology, computational modeling, and neuroscientific insights. Collaborations with global researchers underscore her role in advancing interdisciplinary cognitive science.

• Category Theory
• Compositional Game Theory
• Categorical Cybernetics
• +۷ مورد دیگر

Jules Hedges is a mathematics and computer science researcher affiliated with the Institute for Categorical Cybernetics and the Mathematically Structured Programming group at the University of Strathclyde. As of September 2024, he is working 90% for the CyberCat Institute and 10% for the University of Strathclyde, focusing on applying category theory across various interdisciplinary domains. Hedges completed his PhD at Queen Mary University of London in 2016 with a thesis titled "Towards compositional game theory," which established foundational work for his ongoing research program. His academic journey spans from early work on game theory to current developments in categorical cybernetics. His primary research involves applying category theory in economics, machine learning, and control theory, with a view towards what was historically called cybernetics. Hedges is particularly known for developing compositional game theory, which provides a categorical framework for understanding strategic interactions through concepts like "open games" and "selection functions." His other research interests include graphical calculi for visual representation of categorical structures, functional programming paradigms, proof theory, and the semantics of natural language. He has made significant contributions to understanding how complex systems can be built from simpler components while preserving mathematical properties. Hedges' publication record reveals a consistent trajectory toward developing compositional frameworks for complex systems, with recent work increasingly focused on categorical cybernetics—the application of category theory to systems with feedback loops and goal-directed behavior. His research often bridges abstract mathematical concepts with practical applications in economics and artificial intelligence, particularly in reinforcement learning where he has demonstrated connections between value iteration algorithms and categorical optic composition. Hedges is a signatory of the "No Free View? No Review!" pledge, indicating his strong commitment to open access publishing. He has publicly stated he will not peer review for closed access or hybrid venues, reflecting his principled stance on making academic research freely available. While specific details about his advising activities are not documented in the provided text, his extensive publication record with numerous co-authors suggests active research collaboration and likely mentorship of junior researchers. His work spans multiple institutions and involves collaborators across mathematics, computer science, and economics. Hedges is a founding member of the Institute for Categorical Cybernetics, formally incorporated in October 2023, which represents the primary focus of his current work (90% of his professional time as of September 2024). This institute serves as a hub for researchers working at the intersection of category theory, cybernetics, and their applications to complex adaptive systems, potentially supporting collaborative projects, workshops, and publications in this emerging field.

Neelam Jainمشاهده پروفایل

استاد

• Microeconomic Theory
• Game Theory
• Industrial Organization
• +۷ مورد دیگر

Professor Neelam Jain is a faculty member at City St George's, University of London, where she holds the position of Professor in the Department of Economics within the College of Business. She earned her PhD in Economics from the University of Minnesota in 1995 and has previously taught at the University of Virginia, Rice University, and the University of Auckland. Her research lies at the intersection of microeconomic theory, game theory, industrial organization, and financial economics. Key areas of interest include asymmetric information, financial intermediation, entry deterrence, managerial incentives, and dynamic contracting. She has made significant contributions to econometric methodology, particularly in demand estimation without instrumental variables. Her recent publications show a strong trend in empirical and theoretical work on differentiated products models, Bayesian estimation of dynamic discrete choice, and the role of debt and information in corporate finance. Her work frequently appears in top-tier journals such as Econometrica , Journal of Econometrics , Academy of Management Journal , and International Journal of Industrial Organization . Instrument-free identification and estimation of differentiated products models using cost data (Journal of Econometrics, 2022) Bayesian estimation of dynamic discrete choice models (Econometrica, 2009) Innovation, Appropriability, and the Underpricing of IPOs (Academy of Management Journal, 2007) She served on the editorial board of Studies in Microeconomics from 2016 to 2018. Professor Jain has advised on various aspects of managerial compensation, learning under uncertainty, and the strategic use of debt. Her work combines rigorous theoretical modeling with empirical applications, particularly in banking and industrial markets.

Fabio Massimo Zennaroمشاهده پروفایل

دانشیار

• Machine Learning
• Causal Abstraction
• Structural Causal Models
• +۹ مورد دیگر

Fabio Massimo Zennaro is an Associate Professor in Machine Learning at the Department of Informatics, University of Bergen, and holds an honorary position at the University of Warwick. His research centers on causal abstraction, structural causal models, and the systematization of machine learning, with applications in reinforcement learning, computer security, and societal AI. His educational background includes a PhD from the University of Manchester, postdoctoral work at the University of Oslo and University of Warwick, and MSc degrees from the University of Oxford and Politecnico di Milano. His research interests span causal machine learning , fairness , uncertainty modeling , reinforcement learning , and AI ethics . He explores how causal models at different levels of abstraction can be related and exploited in real-world systems. The recent publications (2023–2025) demonstrate a strong focus on causal abstraction , interventional consistency , and surrogate modeling , published in top venues like NeurIPS, UAI, and CLeaR. His work combines theoretical rigor with practical applications in cybersecurity and decision systems. Scientific awards include: Best paper at UAI 2022 Workshop on Causal Representation Learning Turing Post-doctoral Award (PDEA), 2022 Kilburn Scholarship (2013–2016) Isabella Sassi-Bonadonna Scholarship (2012) Vulcanus Scholarship (2009) He advises students and collaborates on interdisciplinary research, though no formal list of advisees is provided. He has secured postdoctoral funding and contributes to the academic community through program committees (UAI, NeurIPS, ICLR, IJCAI) and journal reviewing (JMLR, Neural Networks, Computers & Security). He is involved in organizing the Causal Abstractions and Representations Workshop at UAI 2025. His research is conducted within the Machine Learning Group at the University of Bergen, focusing on foundational and applied aspects of AI with societal impact.

Sandrine Biemarمشاهده پروفایل

استاد

• Construction of professional identity
• Professional integration and development
• Training and support systems design
• +۳ مورد دیگر

Sandrine Biemar is a Professor in the Faculty of Education and Training Sciences at the University of Namur (UNamur), where she combines teaching responsibilities in secondary and higher education teacher training, continuing education for teaching professionals, and research. She coordinates the continuing education pool for UNamur teaching staff through the Salle des Pros initiative, bringing together educators for professional development. Education Doctorate in Psychological and Educational Sciences, University of Namur (2009) CAPAES in Higher Education DES in Educational and Training Technology Higher secondary education aggregation Bachelor's degree in Psychological Sciences (specialization in Orthopedagogy) Research Focus Professor Biemar's research centers on the relational dimension of teaching, examining teacher-student relationships, collegial dynamics, and partnerships with school stakeholders. Her work explores professional identity construction during career transitions, particularly in contexts of educational change. She investigates how teachers navigate professional integration and development through reflective practice and collaborative approaches, with growing emphasis on educational differentiation strategies that address diverse student needs in classroom settings. Publication Trends Recent publications (2023-2025) reveal a clear trajectory toward practical applications of educational theory in teacher training. Her work increasingly examines simulation-based approaches for developing relational skills, reflective portfolio assessment methods, and differentiated instruction strategies. There is a consistent focus on how professional identity evolves through collaborative professional development, particularly in contexts of educational reform and institutional change across the Wallonia-Brussels Federation. Research Leadership Professor Biemar currently leads multiple significant research initiatives: Scientific Support - Pact for Excellence in Teaching (2025) Research Training project on differentiation in secondary education (2023-2025) Research IFEC: Formation of Catholic education network actors (2024-2025) Continuing Education Consortiums - Pact for Excellence (2024-2025) Professional Engagement With 131 documented professional activities since 2021, Professor Biemar actively contributes to educational discourse through conferences, workshops, and committee work. Her external engagement includes guest lecturing at UCLouvain's FOPA program and previous leadership roles at the Mosane Free High School (2011-2019). She has coordinated numerous continuing education initiatives across educational networks in Belgium, focusing on practical implementation of research findings in real classroom settings. Research Environment Working within UNamur's Research Unit in Education and Training Sciences, Professor Biemar contributes to the Methodological platform for humanities and social sciences. Her collaborative approach connects university researchers with school practitioners, creating bridges between theoretical frameworks and classroom realities. The Salle des Pros initiative she coordinates serves as a hub for reflective practice among UNamur teaching staff, fostering communities of practice that extend beyond institutional boundaries.

• Educational Disparities
• Gender Studies in Education
• Inclusive Education
• +۳ مورد دیگر

Anke Heyder is a Researcher at the Department of Education and Psychology, Free University of Berlin, specializing in the Division of Educational Research with Particular Consideration of Heterogeneity and Education. She has held research positions since 2010 at the University of Heidelberg, University of Cologne, and Freie Universität Berlin, focusing on gender dynamics in educational settings and academic disparities. Education: Diplom in Psychology, University of Heidelberg (2010) Dr. phil., Freie Universität Berlin (2015; Dissertation: "Mehr als Erwartungen und Werte: Zur Rolle von Stereotypen für den differenziellen Schulerfolg von Mädchen und Jungen") Heyder's research centers on educational disparities, particularly gender-based academic achievement gaps. Her work examines how stereotypes about masculinity and femininity influence student engagement, classroom behavior, and teacher perceptions. She investigates implicit gender stereotyping of school environments, self-concept development, and motivational factors affecting boys' underperformance. Her studies often apply expectancy-value models to analyze subject-specific gender differences in mathematics and language education. Analysis of her 15 most recent publications reveals consistent focus on gender identity's interaction with academic engagement. Key trends include experimental studies on how masculine enactments trigger teacher stereotypes, differential impacts of disruptive behavior on boys' and girls' popularity, and validation of theoretical models explaining gender disparities. Her work bridges educational psychology and social psychology, emphasizing practical implications for inclusive teaching practices and stereotype mitigation. Scientific Awards: Dissertationspreis der Fachgruppe Pädagogische Psychologie (2015) Heyder has contributed to significant research projects on educational program evaluation, philanthropy in school improvement, and gender-inclusive pedagogy. Her collaborative work with Ulrike Kessels and other researchers demonstrates strong interdisciplinary partnerships. While specific grant details aren't provided, her sustained research output across multiple institutions indicates consistent project funding. She actively participates in major conferences including EARLI, DGPs, and AERA, presenting findings that inform educational policy and practice. As part of the Division of Educational Research at Freie Universität Berlin, Heyder collaborates within a specialized team investigating heterogeneity in education. Her work contributes to the department's research agenda on inclusive education, school burnout, and shifting standards in stereotype evaluation, directly impacting teacher training and classroom intervention strategies.

• Electric Vehicles
• Vehicle-to-Grid (V2G)
• Autonomous Vehicles
• +۵ مورد دیگر

Cedric De Cauwer is a postdoctoral researcher at the Electromobility Research Centre (MOBI) of the Free University of Brussels, specializing in electric and hybrid vehicle technology since 2011. He earned his Master's (2011) and PhD (2017) in Engineering from the same university, with his doctoral work focusing on energy consumption prediction and energy-efficient routing. Education : Master's in Engineering (2011), Free University of Brussels PhD in Engineering (2017), Free University of Brussels His research spans electric vehicles , autonomous mobility , and vehicle-to-grid (V2G) integration , emphasizing smart charging infrastructure and grid compatibility. Recent work explores reinforcement learning for energy management and forecasting EV charging flexibility. Scientific Awards : Editor's Choice (2023) WEVJ BEST PAPER AWARD (2021) As a supervisor for Andrei Goncearuc 's PhD (2024) and contributor to 6 Master's theses, he mentors students in electrification feasibility and energy flow analysis. He collaborates on projects like VersnellingsMOBI (2025-2029) and DESTINY (2024-2029), integrating EVs into carbon-neutral energy networks.

• Legal Technology
• Legal Writing
• Conflict of Laws
• +۷ مورد دیگر

Gabriel H. Teninbaum is a Professor of Legal Writing and the Assistant Dean for Innovation, Strategic Initiatives, and Distance Education at Suffolk University Law School. He leads the #1 ranked legal technology program in the U.S. per National Jurist Magazine and has taught over 10 courses globally, including at MIT. He founded the educational technology startup SpacedRepetition.com, recognized among the Top 20 Legal IT Innovations globally. Education: BA from Georgetown University, MM from Cambridge College, JD from Suffolk University. Teninbaum's research focuses on legal technology, conflict of laws, medical apology programs, and legal pedagogy. His work explores the intersection of technology and law, including spaced repetition methodologies for legal education. He has also written on insurance law, premises liability, and constitutional law. Recent publications emphasize legal technology innovations like spaced repetition, conflict of laws in Massachusetts, medical apology programs, and international human rights. His scholarship spans tort law, insurance law, and legal criticism. Scientific Awards: SpacedRepetition.com named a Top 20 Legal IT Innovation globally by ALM/Legal Week Intelligence. Teninbaum has served on the Mass. Access to Justice Commission's Web/Tech Working Group and as a Faculty Associate at Harvard's Berkman-Klein Center. He previously worked as a trial attorney and U.S. Secret Service technician.

Michele S. Mosesمشاهده پروفایل

استاد

• Ethics in Education
• Democracy and Education
• Higher Education Policy
• +۵ مورد دیگر

Michele S. Moses is a Professor of Educational Foundations, Policy & Practice at the University of Colorado Boulder’s School of Education, serving concurrently as Vice Chancellor and Senior Vice Provost for Faculty Affairs. She holds leadership roles in professional organizations such as the Philosophy of Education Society and AERA. Her research focuses on ethics, democracy, and higher education’s societal role, with expertise in racial/gender equity, academic freedom, and moral policy disagreements. Moses earned her M.A. in Philosophy and Ph.D. in Education from CU Boulder, plus an M.A. in Higher Education from the University of Vermont. She has authored/co-authored books like Living with Moral Disagreement and Embracing Race , and her work appears in top journals such as Journal of Higher Education and Educational Theory . Research Interests: Moses examines issues like affirmative action, opt-out movements in education, and the interplay between truth, free speech, and democracy on campuses. She emphasizes collaborative, community-based methodologies and bridges philosophy with sociological approaches. Awards: Recipient of CU Boulder’s prestigious Hazel Barnes Prize (2016), AERA Early Career Award, and National Academy of Education/Spencer Postdoctoral Fellowship. She was also named a Fulbright New Century Scholar. Her service includes editorial roles (e.g., Co-Editor of AERA Open) and leadership on boards like the National Education Policy Center. Moses advocates for integrating teaching, research, and mentorship, exemplified by her collaborative projects with graduate students on affirmative action policy analyses.

• Economic Theory
• Game Theory
• Decision Theory
• +۵ مورد دیگر

Jose Rodrigues Neto is an Associate Professor at The Australian National University's Research School of Economics. His research focuses on Economic Theory, Game Theory, Decision Theory, and Microeconomics, with applied interests in Industrial Organization, Law & Economics, Education, and Public Economics. He holds a PhD in Economics from the University of Wisconsin-Madison. His work spans theoretical contributions to Luce rationality, civil litigation dynamics, oligopoly models, and education policy. Recent studies include analyzing cyclic conditions in decision-making frameworks and the impact of technology on learning outcomes. Neto is actively involved in supervising research students but has no explicitly listed advisees. Neto's articles frequently intersect behavioral economics, legal strategy, and market structures. He has explored topics like competitive equilibrium under participation constraints and the design of protection markets. His research also addresses public goods provision, auctions with limited information, and status signaling through brands. No scientific awards or major grants are listed in the provided materials. His academic contributions emphasize theoretical rigor and applied relevance, with a focus on policy-relevant insights from economic modeling.

Jessica Jaynesمشاهده پروفایل

دانشیار

• Statistical Methods
• Experimental Design
• Survey Design
• +۳ مورد دیگر

Jessica Jaynes is an Associate Professor of Statistics and Mathematics at California State University, Fullerton. As a first-generation college graduate, she holds a Ph.D. in Statistics from the University of California, Los Angeles. Her research focuses on statistical methods and applications, experimental design, and survey design, with a strong emphasis on collaborative projects with undergraduate students. Dr. Jaynes earned her Ph.D. in Statistics from UCLA, reflecting her deep academic roots in quantitative methodologies. Her work bridges statistical theory and practical applications, particularly in healthcare and public health contexts, such as drug combination experiments and discrete choice analyses in nutrition studies. Her research trends highlight innovative uses of experimental design techniques, including orthogonal array composite designs and fractional factorial designs, applied to diverse fields like tuberculosis drug studies, snack choice behaviors, and healthcare policy. These methods emphasize efficiency and robustness in data collection and analysis. She actively engages undergraduate students in research, fostering hands-on learning opportunities. While no specific grants or awards are documented here, her contributions to pedagogical methods in statistics education are evident through publications on course design and online learning assessments. Jessica Jaynes’ academic presence is further enriched by her interdisciplinary approach, blending statistical rigor with real-world health and behavioral challenges.

• Mathematical Methods of Economics
• Finance and Actuarial Sciences
• Decision Theory
• +۵ مورد دیگر

Debora DiCaprio is an Associate Professor in the Department of Economics and Management at the University of Trento, Italy, specializing in Mathematical Methods of Economics, Finance, and Actuarial Sciences. She holds a PhD in Mathematics from York University (Canada) and has held academic positions across Italy, Spain, Canada, and Mexico. Her research focuses on decision theory, artificial intelligence in healthcare, and operations research, with contributions to transplant efficiency modeling and multi-criteria decision-making frameworks. Education: B.Sc./M.Sc. in Mathematics (110/110 cum laude), Second University of Naples, Italy (1993–1997) M.A. in Mathematics, York University, Canada (1999–2000) PhD in Mathematics, York University, Canada (2000–2004) Specialization in Mathematics and Physics Education, Free University of Bozen-Bolzano, Italy (2006–2008) Research Interests: Combines mathematical rigor with applied economics and healthcare analytics. Active in developing AI-driven models for transplant efficiency, healthcare resource optimization, and decision-making under uncertainty. Key areas include stochastic multi-criteria decision-making (MCDM), data envelopment analysis (DEA), and behavioral economics. Professional Activities: Editorial roles at journals like Expert Systems with Applications and Decision Analytics Member of research groups ARES (AI for transplantology) and MEDIA (multi-expert decision aggregation) Consultant for international projects on transplant efficiency and healthcare analytics Awards: Inducted into Alpha Iota Delta Honor Society (2017).

• Language Variation
• Sociolinguistics
• Prosody-Pragmatics Interface
• +۳ مورد دیگر

Dr. Maria del Mar Vanrell Bosch is an Assistant Professor in the Department of Catalan Philology and General Linguistics at the University of the Balearic Islands. She serves as the Principal Investigator of the GRESIB research group and Secretary of the IRIE Institute. Her research focuses on language variation, sociolinguistics, and prosody-pragmatics interfaces, with a regional emphasis on the Balearic Islands' linguistic dynamics. She holds a Ph.D. from the Autonomous University of Barcelona and has held postdoctoral positions at the Autonomous University of Madrid and the Free University of Berlin. Education: B.A. (2003), M.A. (2006), and Ph.D. (2011) in Catalan Philology from the Autonomous University of Barcelona. Postdoctoral research at the University of Madrid (2011-2013) and Berlin (2013-2016). Research Interests: Language variation and change Sociolinguistic attitudes and ideologies Prosody-syntax/pragmatics interfaces Catalan dialectology Language policy and education in the Balearic Islands Grants and Projects: Coordinated the 2022-2023 project on youth language attitudes in the Balearic Islands, leading to a published book. Active in Spanish National Research Plan and EU-funded projects since 2009. Awards: Recipient of the 2010 Speech Prosody Best Student Paper and 2015 Extraordinary Ph.D. Prize.