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Yves AndréView profile

Professor

• Number Theory
• Algebraic Geometry
• p-adic Analysis
• +4 more

Yves André is a Research Director 1st Class at CNRS (French National Center for Scientific Research), working at École Normale Supérieure de Paris in the Département de Mathématiques et Applications. He maintains strong affiliations with Université Paris 6 and the Institut de Mathématiques de Jussieu. André's research centers on the deep connections between number theory and algebraic geometry, with particular expertise in p-adic analysis, motivic theory, and arithmetic differential equations. His work has fundamentally advanced our understanding of p-adic differential equations, Galois representations, and the theory of motives through rigorous proofs of major conjectures including Dwork's conjecture and Crew's local monodromy conjecture. His publication record shows a consistent progression from solving specific conjectures to developing comprehensive theoretical frameworks that bridge different mathematical disciplines. The recurring themes across his work include the interplay between geometry and arithmetic, the structure of differential equations in p-adic contexts, and the development of motivic tools for number-theoretic problems. Foreign Member of the Venetian Academy (2007) Doisteau-Blutet Prize of the French Academy of Sciences (2011) Kempf Lectures (Baltimore 2006) Albert Lectures (Chicago 2009) Ordway Lectures (Minneapolis 2012) André has supervised four PhD theses and has been an active contributor to the mathematical community through numerous international mini-courses and conference organization. His leadership roles include serving on the National Committee of the Department of Mathematics at CNRS (2004-08), directing the mathematical monograph series 'Astérisque' for the French Mathematical Society (2005-11), and responsibility for the Paris node of the network ANR 'Galois theories' (2006-09). He is also a member of the 'collectif Histoire-Philosophie-Sciences' at ENS and a trustee of Rendiconti di Padova.

Mohamed KhalilView profile

Lecturer

• Accounting and Finance
• Earnings Management
• Corporate Governance
• +3 more

Mohamed Khalil is a Lecturer in Accounting and Finance at Hull University Business School (HUBS), part of the University of Hull's Faculty of Business, Law and Politics. He previously held roles as a tutor, assistant lecturer, and lecturer at Tanta University in Egypt. Dr. Khalil earned his PhD in Accounting from the University of Hull and serves as an ad-hoc reviewer for accounting and finance journals. His teaching focuses on both undergraduate courses like Financial Reporting and Research Methods, and postgraduate modules such as Corporate Financial Management and International Financial Reporting Standards. Education: BA (1990-1994), MA (1999-2003), PGDip (2007-2009), and PhD (2007-2011) in Accounting from the University of Hull. His research interests center on financial reporting quality, corporate governance mechanisms, and audit practices in emerging markets. His recent work explores political connections' impact on earnings management and the role of foreign institutional ownership in shaping accounting conservatism. Khalil has served as an External Examiner for multiple UK universities (2018–2028), demonstrating his commitment to academic rigor and cross-institutional collaboration. His research outputs span topics like AI applications in protocol analysis, board independence dynamics, and efficient contracting theories in Egypt. He actively supervises PhD students in areas such as earnings management, ownership structures, and IFRS adoption.

Efthymios N. KaratzasView profile

Assistant Professor

• Numerical Analysis
• Computational Mathematics
• Optimal Control
• +5 more

Efthymios N. Karatzas serves as an Assistant Professor in the Department of Mathematics at Aristotle University of Thessaloniki, Faculty of Sciences, within the Computer Science and Numerical Analysis Section. He maintains an active research profile in computational mathematics with strong institutional affiliations including collaborations with SISSA mathLab and FORTH Institute of Applied and Computational Mathematics. His academic credentials include: PhD in Mathematics, National Technical University of Athens (2015) Master's in Applied Mathematical Sciences – Computational Mathematics, NTUA (2009) Master's in Applied Mathematics, University of Patras (2001) Bachelor's in Mathematics (Computational Mathematics), University of Patras (1999) Dr. Karatzas' research program centers on advanced numerical techniques for partial differential equations , with pioneering work in reduced order modeling , embedded boundary methods , and optimal control systems . His expertise spans computational fluid dynamics, uncertainty quantification, and biomechanical applications, characterized by methodological innovation in handling geometrically complex domains through cut finite element approaches and shifted boundary formulations. Analysis of his 15 most recent publications reveals a cohesive research trajectory focused on developing efficient numerical frameworks for parametrized PDE systems. His work consistently bridges theoretical rigor with practical implementation, particularly in advancing reduced basis methods for fluid-structure interaction and biological modeling, demonstrating significant contributions to computational mathematics through high-impact journal publications. No major scientific awards are documented in the available sources. Dr. Karatzas demonstrates research leadership through project management roles including Scientific Manager for the ELIDEK project at NTUA (2019-2021) and Project Manager for the European Social Fund HEaD initiative at SISSA (2017-2019). His grant administration experience encompasses coordinating interdisciplinary teams and securing external funding for computational mathematics research. He maintains active collaborations with the SISSA mathLab in Trieste (particularly with Prof. Gianluigi Rozza's group) and the FORTH Institute in Crete, participating in international workshops including the Reduced Order Methods in CFD Summer School (2019) and SIAM UQ conferences. His research network spans computational mathematics groups across Europe with emphasis on advancing numerical methodologies for real-world engineering and biological applications.

Léo BigorgneView profile

Researcher

• Partial Differential Equations
• Plasma Physics
• General Relativity
• +3 more

Léo Bigorgne is a CNRS Research Fellow (Chargé de recherche CNRS) at the University of Rennes 1, affiliated with the Rennes Institute of Mathematical Research (IRMAR). He works within the Partial Differential Equations team of the IRMAR laboratory, focusing on mathematical problems arising from plasma physics and general relativity. Dr. Bigorgne's research primarily centers on the asymptotic analysis of equations from plasma physics and general relativity. His work extensively investigates the Vlasov-Maxwell and Vlasov-Poisson systems, with particular focus on: Asymptotic behavior and decay estimates of solutions Scattering theory for kinetic equations Global existence results for small data solutions Mathematical analysis of Vlasov equations in curved spacetimes Applications to plasma physics and gravitational physics His publication record demonstrates consistent contributions to top mathematical physics journals including Communications in Mathematical Physics, Annales Henri Poincaré, and SIAM Journal on Mathematical Analysis. Dr. Bigorgne frequently collaborates with international researchers, particularly with members of the Velozo Ruiz family on various aspects of Vlasov equations. Dr. Bigorgne maintains an active research program with publications spanning from 2017 to projected 2025, indicating ongoing significant contributions to mathematical physics. His work bridges pure mathematics with applications in theoretical physics, particularly in understanding the mathematical foundations of plasma dynamics and gravitational physics.

Rainer K. SilbereisenView profile

Research Professor

• Human Development
• Developmental Psychology
• Dynamic Interactionism
• +12 more

Rainer K. Silbereisen is a Research Professor of Developmental Psychology at Friedrich Schiller University Jena , Director of the Center for Applied Developmental Science , and Adjunct Professor of Human Development at Pennsylvania State University . He has held faculty positions at Technical University Berlin, Justus Liebig University Giessen, and Penn State, alongside leadership roles at the Gesis social science infrastructure company and the University of Haifa Board of Governors. Research Focus: Human development across lifespan, dynamic interactionism, social change impacts, acculturation of immigrants, entrepreneurship, and biobehavioral aspects of adolescence. Applications: Prevention of maladjustment, promotion of positive development, and social policy relevance. International Collaborations: Comparative studies in Germany, Poland, Israel, and post-Soviet states. Funding Sources: German National Science Foundation, W.T. Grant Foundation, Jacobs Foundation, and the German Federal Ministry of Education and Research. Scientific Recognition: Member of Academia Europaea and Erfurt Academy of Sciences Fellow of American Psychological Association and Association for Psychological Science 2012 ISSBD Distinguished Scientific Award 2014 EARA Lifetime Award Academic Leadership: Past-President of ISSBD, German Psychological Society, and IUPsyS. Editor of European Psychologist and American Psychologist Associate Editor. Directed large-scale networks on immigration and social change.

Zhang Yi-ChengView profile

Professor

• Econophysics
• Information economics
• Statistical physics
• +2 more

Zhang Yi-Cheng is a Full Professor of Theoretical Physics at the University of Fribourg, Switzerland, since 1992. His academic career includes visiting professorships at Nordita (Denmark) and INFN (Italy), and postdoctoral research at Brookhaven National Lab (USA). He specializes in interdisciplinary fields such as Econophysics , Statistical physics , and Complex network sciences , focusing on applications in financial markets, social systems, and global trade networks. His research explores topics like market dynamics, network structures, and algorithmic ranking systems. Notable awards include the 2011 Honorary Director of the Complexity Sciences Research Center and recognition as a 2011 Chinese '1000 Talents' awardee . His work bridges physics-based methodologies with socio-economic systems, addressing challenges in information-driven economies and networked societies. Zhang has contributed to influential studies on ranking algorithms, percolation theory in networks, and the interplay between economic complexity and trade. His interdisciplinary approach has led to advancements in understanding systemic risks, market inefficiencies, and the role of information in shaping global economic interactions.

• Physics beyond the Standard Model
• Z' Physics
• Axions and Axion-like Particles
• +5 more

Prof. Felix Yu leads the Theoretical Elementary Particle Physics Group (THEP) at Johannes Gutenberg University Mainz. His research focuses on physics beyond the Standard Model, including Z' physics, axions, dark matter, CP violation, Higgs physics, and solutions to the hierarchy problem. He collaborates with experiments like ATLAS, CMS at the LHC, and the MESA accelerator in Mainz. His work bridges theoretical models with experimental validation, emphasizing both particle phenomenology and collider physics. Research Interests: Z' Physics: Explores U(1) gauge symmetries, kinetic mixing, and collider signatures at the LHC. Axions/ALPs: Studies non-minimal axion models and their couplings in effective field theories. Dark Matter: Investigates weakly interacting particles and upcoming terrestrial experiments. CP Violation & Flavor Physics: Links low-energy flavor observables to high-energy collider data. Higgs Physics: Examines Higgs couplings and future collider potential for precision measurements. Advising & Collaborations: Supervises PhD/Master students (Luca Bau, Greta Blank, Lucas Heger, Alexey Kivel) and collaborates with international teams at CERN and MESA. Research emphasizes interdisciplinary approaches to unresolved questions in particle physics. Labs/Teams: Core member of THEP and affiliated with LHC collaborations (ATLAS/CMS) and MESA experiments.

Alain BensoussanView profile

Professor

• Operations Research
• Stochastic Control
• Mathematical Finance
• +3 more

Alain Bensoussan is the Lars Magnus Ericsson Chair Professor of Operations Management at the University of Texas at Dallas and Director of the International Center for Decision and Risk Analysis. His work spans stochastic control, mathematical finance, and mean field games. He holds a PhD from the University of Paris (1969) and advanced degrees from École Polytechnique (1962) and École Nationale de la Statistique et de l’Administration Economique (1965). Research interests include inventory control under uncertainty, risk management frameworks, and applications of mean field theory to control problems. Recent work focuses on stochastic control in financial systems, machine learning integration with control theory, and optimal policies in dynamic environments. Notable awards: Legion d’Honneur (Officier), NASA Distinguished Public Service Medal, Member of French Academies of Sciences/Technology, and SIAM Charter Fellowship. Key grants: NSF-funded projects on mean field control theory (2016–2019) and mean field games (2023–present). Teaches advanced courses: Game Theory, Risk Analysis, Stochastic Dynamic Programming. His 2023–2025 publications emphasize theoretical advancements in stochastic control, mean field games, and machine learning applications. Ongoing work addresses infrastructure investment, wind farm optimization, and multi-agent system dynamics.

• Operations Research
• Management Science
• Mathematical Programming
• +13 more

Benjamin Lev is a Professor in the Department of Decision Sciences and Management Information Systems (DS&MIS) at the LeBow College of Business, Drexel University. He previously served as Trustee Professor (2014–2021) and Department Head (2009–2014) at Drexel. His academic leadership extends to prior roles as Professor, Department Head, and Dean at the University of Michigan-Dearborn (1990–2009), Professor and Department Head at Worcester Polytechnic Institute (1987–1990), and Professor and Department Head at Temple University (1970–1987). He has held short appointments at institutions in China and the U.S., including the Wharton School and Tel Aviv University. Lev’s research spans Operations Research, Management Science, and Decision Sciences , with expertise in mathematical programming, operations planning, inventory control, supply chain management, and optimization under uncertainty. His recent work focuses on applications in disaster management, sustainable supply chains, AI in operations, water resource allocation, and emergency logistics. He has published over 150 journal articles and authored or edited 18 books, with a strong emphasis on real-world problem-solving using quantitative methods. The trends in his recent publications (2022–2025) reflect a focus on complex optimization under uncertainty , particularly in humanitarian logistics, environmental sustainability, and digital commerce. His work frequently employs advanced methodologies such as bi-level programming, stochastic optimization, fuzzy logic, and data envelopment analysis (DEA), often applied to critical societal challenges like disaster response, air pollution, and resource scarcity. Lev is an INFORMS Fellow (2003) and has received several honors, including the 2023 Top Cited Article award in Naval Research Logistics and the 2023 First Prize from the Jiangxi Province Social Science Outstanding Achievement Award. His editorial leadership is most notably demonstrated by his 23-year tenure as Editor-in-Chief (2002–2025) of OMEGA – The International Journal of Management Science , one of the premier journals in the field. He has advised numerous scholars and presented his work globally, particularly on his experience as EiC of OMEGA . He has been actively involved in academic collaborations, especially in China, serving on advisory boards and as an external reviewer for institutions like Sichuan University. He has also received significant grant funding from the U.S. National Institutes of Health, U.S. Public Health Service, and U.S. Air Force for research in medical information systems and operations research applications. Lev has been instrumental in organizing major international conferences and has served on the editorial boards of over 20 journals, including Interfaces, IIE Transactions, OR Journal, and Financial Innovation . His role as Vice President of TIMS and INFORMS further underscores his leadership in the global operations research community.

Scott A. WestfahlView profile

Professor

• Legal Education
• Leadership Development
• Legal Profession and Ethics
• +5 more

Scott A. Westfahl is a Professor and Director of Executive Education at Harvard Law School (HLS), where he designs leadership programs for legal professionals and teaches courses such as Legal Innovation Through Design Thinking. His work focuses on talent development, diversity & inclusion, and organizational alignment in law firms and legal departments. He previously led professional development at Goodwin Procter LLP (2004-2013) and McKinsey & Company (1998-2004), and practiced law at Foley & Lardner (1988-1998). His research interests span leadership frameworks, design thinking applications in law, and systemic barriers to equity in the legal profession. Education: A.B. in Government (Dartmouth College, 1985), J.D. (Harvard Law School, 1988). Research Interests: Leadership development for legal professionals Innovative pedagogy in legal education Equity and inclusion in law firms Technology-driven legal practice transformation Key Achievements: 2008 'Innovators of the Year' award for developing the iStaff attorney development system, co-author of You Get What You Measure (NALP, 2008), and curriculum co-designer of HLS's Problem Solving Workshop. Recent Work: Explores crisis lawyering strategies, gender diversity metrics, and GC resilience in evolving legal landscapes.

• Economics
• Data Analysis
• Econometrics
• +7 more

Juan Pedro Gómez is a Professor of Finance at IE University, specializing in the intersection of economics, data analysis, and modern financial systems. He holds a Doctorate in Economics and contributes to IE University's innovative Bachelor in Economics program, emphasizing the application of technology-driven methodologies to economic theory. His research focuses on human behavior in investment contexts, international asset pricing, and the evolving role of data in economic decision-making. Dr. Gómez's academic work bridges traditional economic principles with contemporary challenges, such as automation, big data, and global market dynamics. He has published extensively in journals like the Journal of Finance and Journal of Economic Theory , addressing topics ranging from mutual fund compensation structures to pandemic forecasting using unconventional datasets. His teaching philosophy emphasizes equipping students with skills in data analysis and econometrics to address real-world economic problems. He advocates for economics education that integrates digital transformation and global perspectives to prepare future professionals for tech-driven economies.

Peter van der HeijdenView profile

Professor

• Categorical Data Analysis
• Data Science
• Multivariate Statistics
• +3 more

Prof. Peter van der Heijden is a Professor of Statistics for the Social and Behavioural Sciences at Utrecht University's Department of Methodology and Statistics. He also holds a professorship in Social Statistics at the University of Southampton. His roles include chairing the Ethical Review Board and the Committee for Policy on Integrity at Utrecht's Faculty of Social and Behavioural Sciences. He chairs the Advisory Council on Methodology and Quality of Statistics Netherlands and serves on the Executive Board of the European Statistical Advisory Committee (ESAC). Since 2017, he has led Utrecht's Applied Data Science focus area, focusing on human-centered AI and data-driven solutions. His research emphasizes population size estimation, fraud detection, and categorical data analysis, with applications for Dutch ministries and international bodies like the UN. He has pioneered methods for estimating human trafficking victims and optimizing healthcare treatments using multilevel models and neural networks. Key projects include the AI for Health initiative with Utrecht Medical Center and Wageningen University. His work bridges statistical rigor with societal impact, addressing challenges in criminal justice, public health, and policy-making through innovative methodologies. Universities: Utrecht University (Primary), University of Southampton Key Committees: European Statistical Advisory Committee, UN Human Trafficking Monitoring Research Themes: Multiple Systems Estimation, Data Science for Social Issues Research interests span statistical methods for complex societal problems, including: Register linkage and fraud detection Machine learning applications in healthcare Human trafficking prevalence estimation His publications (2019-2023) highlight advancements in multilevel modeling, randomized response techniques, and AI-driven clinical data classification. He has advised on policy frameworks for official statistics and contributed to global initiatives like the UN Sustainable Development Goals (Target 16.2). Grants and collaborations include projects with Dutch ministries, the EU, and international organizations. Current initiatives involve optimizing Hepatitis C treatment networks and improving criminal recidivism prediction models. His leadership in interdisciplinary teams ensures methodological innovation addresses real-world challenges.

• Quality Management
• Organizational Culture
• Agility
• +6 more

André M. Carvalho is an Assistant Professor of Quality Engineering and Management at the NOVA School of Science and Technology, NOVA University Lisbon, Portugal. He holds a PhD (2020) in Engineering Design and Advanced Manufacturing from the University of Minho/MIT Portugal Program. His career includes postdoctoral research at the Technical University of Denmark (2020) and visiting roles at MIT (2018–2020) and Northeastern University (2019). His research focuses on sociotechnical systems, quality management, organizational culture, agility, and sustainability. He explores how organizations adapt to global challenges through methodologies like Lean Six Sigma and Industry 4.0 frameworks. Education: PhD in Engineering Design and Advanced Manufacturing (2020) – University of Minho/MIT Portugal Program Research Interests: Carvalho’s work bridges quality management with organizational agility, emphasizing digital transformation, Industry 4.0/5.0, and sustainable practices. He investigates frameworks for operational excellence, such as the Quality 4.0 Roadmap and the QOE-SME model for small/medium enterprises. His studies address challenges like supply chain quality, data-driven decision-making, and organizational culture’s role in innovation. Article Trends: His recent publications (2022–2025) highlight themes like Lean Six Sigma applications in healthcare, AI-driven quality forecasting, and Industry 4.0 integration. He also explores ESG factors in performance optimization and the evolving profile of quality leaders in the digital era. Awards and Recognition: Acknowledged by the Industrial Engineering and Operations Management (IEOM) Society, International Academy for Quality (IAQ), and American Society for Quality (ASQ) for research contributions. Grants and Advising: While specific grants are not detailed, his postdoctoral and visiting roles suggest institutional support. Advising focuses on doctoral/master’s students (not listed explicitly in the text).

• Data Science
• Concept-Drift Management
• Database Systems
• +12 more

Tania Cerquitelli is a Full Professor in the Department of Control and Computer Science (DAUIN) at Politecnico di Torino, where she leads research in data science, concept-drift management, and inclusive AI technologies. She is a member of SmartData@PoliTO, the GEDI Observatory for Gender Equality, and serves in leadership roles related to social affairs and community policies at the university level. She also acts as a scientific advisor for the partnership with Accenture. Her research interests span Data Science , Concept-Drift Management , Database Systems , Conversational Data Science , and Industry 4.0 . She applies AI and machine learning to industrial, societal, and ethical challenges, particularly in promoting inclusive communication and gender equality in research. The most recent publications highlight her work in explainable AI, concept drift detection, multimodal diagnostics, and AI for social good. Her research integrates machine learning, natural language processing, and computer vision to address real-world problems in manufacturing, healthcare, agriculture, and education. She is an Associate Editor for several prestigious journals including Expert Systems with Applications , Computer Networks , Future Generation Computer Systems , and Knowledge and Information Systems . She has served on the program committees of major conferences such as ECML PKDD, EDBT/ICDT, and ACM KDD, and has been a reviewer and selection committee member for ETH Zurich and EMPA. She actively supervises PhD students and teaches a wide range of courses including Data Science and Database Technologies, Business Intelligence for Big Data, and Gender and Diversity in Research. She is involved in multiple national and international research projects such as E-MIMIC, WEBFARE, and EnABLES, focusing on inclusive AI, smart data, and industrial applications. Her lab affiliations include the DBDM - Database and Data Mining Group (DAUIN) and the Interdepartmental Center SmartData@PoliTO - Big Data and Data Science Laboratory , where she contributes to advancing data science methodologies and their societal impact.

• Philosophy of Language
• Cognitive Artifacts
• Social Cognition
• +5 more

Marcin Trybulec is a Senior Lecturer at the Department of Ontology and Epistemology, Faculty of Philosophy and Sociology, University of Maria Curie-Skłodowska (UMCS). He holds a habilitation degree in Philosophy and has a background in sociology and cognitive science. His research focuses on the intersection of language, media, and cognition, with particular emphasis on cognitive artifacts, extended mind theory, and rationality. Academic Background: PhD in Cognitive Sciences and Social Communication; Habilitation in Philosophy International Affiliations: Visiting researcher at University of Toronto, Leiden University, Granada University, UC San Diego, and Aarhus University His research explores how language and media technologies shape cognitive processes, spanning topics like: Cognitive artifacts and problem-solving Extended mind hypothesis Media ecology and technological determinism Metalinguistic awareness Material culture's epistemic role Embodied cognition in technologically-mediated environments The 15 most recent publications reveal consistent focus on: Philosophy of cognitive technologies Epistemological implications of material representations Media's influence on rationality Interdisciplinary approaches combining philosophy and cognitive science Analysis of symbolic systems' cognitive impact Anthropology of technical communication NCN Sonata grant (2018-2021): Understanding Cognitive Artifacts MEiN grant (2021-2023): Science Communication as Art NCBiR grant (2017-2019): Logi.Kom. From Logical Thinking to Effective Communication MNiSW grant (2010-2011): Toronto School's Theory of Social Communication He has presented research at major international conferences including: International Wittgenstein Symposium Media Ecology Association Convention International Association for Cognitive Semiotics Conference Polish Philosophical Congresses