Filippo Bracci is a Full Professor at the Department of Mathematics , University of Rome Tor Vergata . His work focuses on geometric function theory, holomorphic dynamics, and complex analysis in higher dimensions, with applications to semigroups of holomorphic maps and Loewner equations. Research Interests include geometric function theory, iteration theory, holomorphic foliations, complex Monge-Ampère equations, and visibility properties in convex domains. He has contributed to understanding holomorphic evolution equations and their connections to dynamical systems. Grants : Principal Investigator for ERC Starting Grant 277691 (HEVO) and multiple PRIN projects (2007–2022) on complex manifolds and dynamics. Editorial Roles : Member of editorial boards for journals such as Computational Methods and Function Theory , Bulletin des Sciences Mathématiques , and Complex Analysis and Operator Theory . Leadership : Vice-President of INdAM (Istituto Nazionale di Alta Matematica) and involved in organizing seminars and academic programs.
Nicolas Ferré is a Professor at Aix-Marseille University, specializing in Theoretical Chemistry. His research focuses on quantum mechanics (QM), molecular mechanics (MM), and hybrid QM/MM methods for systems with radical, photochemical, or magnetic activity. He teaches Quantum Mechanics and Quantum Chemistry at the L3 (Bachelor’s) level. His research spans the development of electrostatic embedding QM/MM techniques, including applications to photoreceptor proteins like rhodopsins and cryptochromes. Recent work explores pH-dependent biomolecular photochemistry, solvent effects on X-ray absorption spectra, and analytic gradients for QM/MM models with periodic boundary conditions. His publications emphasize computational insights into magnetic exchange couplings, bioluminescence mechanisms, and ultrafast photochemical processes. Key collaborations include contributions to the OpenMolcas computational chemistry platform.
Ulaş Yaman is an Associate Professor in the Department of Mechanical Engineering at Middle East Technical University (METU) in Ankara, Turkey. He received his B.Sc. in Mechanical Engineering (2007), M.Sc. in Mechanical Engineering (2010), and Ph.D. in Mechanical Engineering (2014) from METU, with a minor in Mechatronics. His academic career includes roles as a Visiting Assistant Professor at Purdue University (2014-2015) and research positions at METU. His research specializes in additive manufacturing, CAD/CAM systems, computational geometry, and embedded control systems. Key areas include 3D printing optimization, FDM process enhancements, CNC command generation, and hybrid manufacturing technologies. Recent work explores Industry 4.0 integration, structural optimization for 3D-printed artifacts, and novel fabrication pipelines like LIPRO. Yaman's publications demonstrate strong focus on manufacturing innovations, with recurring themes in real-time command generation, material behavior in 3D printing, geometric algorithms for production, and educational tools for control engineering. His work frequently combines hardware implementation with computational efficiency. Scientific Awards: BEST PAPER AWARD - IEEE 8th Workshop on Intelligent Solutions in Embedded Systems (2010) Research Grants: TÜBİTAK 1001: A Smart- and Hybrid Manufacturing System Utilizing Additive Manufacturing Methods and Machining (2017-2020) TÜBİTAK 3001: A Novel Design and Fabrication Pipeline for 3D Printers: LIPRO (2017-2018) ODTÜ-BAP: Improving the Dimensional Accuracy of 3D Printed Artifacts (2016) He leads the Laboratory for Intelligent Production Systems (LIPRO) with six research assistants, focusing on additive manufacturing, computational geometry, and embedded systems. Current projects include developing multi-axis hybrid manufacturing systems and novel CAD/CAM architectures.
Angela Sciammetta is a Researcher (MATH-03/A) at the Department of Mathematics and Computer Science , affiliated with the Polytechnic School of the University of Palermo . She teaches Mathematical Analysis and Mathematics modules for Mechanical Engineering and Architecture programs. Her research focuses on nonlinear partial differential equations , particularly those involving p-Laplacian operators , double-phase problems , and anisotropic nonlinearities . Key themes include existence and multiplicity of solutions under various boundary conditions (Dirichlet, Robin, Neumann), with applications to mathematical physics and continuum mechanics . Recent publications analyze anisotropic (p,q)-Laplacian problems with critical or superlinear nonlinearities, using variational methods and sub-supersolution techniques . She has shown interest in stress concentration phenomena in conductivity problems and fractional differential equations . Contact: angela.sciammetta@unipa.it | Office hours: Friday 9:00–10:00 AM via Microsoft Teams
Shinji Wakao is a full Professor in the School of Advanced Science and Engineering, Waseda University, Japan, where he has served since 1993 and was Dean of the School from 2016 to 2020. Holding doctoral and master degrees in electrical engineering from Waseda, he leads a prolific research group specialising in computational electromagnetics and renewable-energy power systems. Education: Doctor of Engineering, Waseda University Master of Engineering, Waseda University Bachelor of Engineering (Electrical Engineering), Faculty of Science and Engineering, Waseda University Research Interests: His work integrates large-scale numerical electromagnetic field analysis—finite-element and infinite edge-element methods, level-set topology optimisation—with practical power-engineering challenges such as photovoltaic generation forecasting, smart-grid battery scheduling, zero-energy-house design, and electric-machine optimisation. Publication Trends: Recent articles emphasise deep-learning-enhanced PV forecasting (auto-encoders, CNNs, just-in-time modelling) and advanced topology-optimisation techniques (encoder-decoder networks, MMA-accelerated level-set methods) for magnetic shields and motors, reflecting a convergence of machine learning and energy-system science. Scientific Awards: IEEJ Academic Promotion Award (2008) IEEJ Distinguished Paper Award (2008) Committee & Society Roles: He serves on Japanese national committees including METI’s Power Safety Sub-committee and the Cabinet Office’s solar-energy evaluation panels, and is a board member of the Japan Solar Energy Society. Professional memberships include IEEE, IEEJ, JSCES and JSES. Laboratory & Projects: He heads the Wakao Laboratory within Waseda’s Department of Electrical Engineering, conducting projects on smart-grid PV management, magnetic-sensor optimisation for railway signalling, and net-zero-energy building renovation strategies.
Professor Judit Bóna, Doctor of Science (DSc), serves as Director of the Institute of Hungarian Linguistics and Finno-Ugric Studies and holds lecturing positions in the Department of Applied Linguistics and Phonetics and Child Language Research Group at Eötvös Loránd University's Faculty of Humanities. Her institutional leadership spans Hungarian linguistic preservation, Finno-Ugric studies, and clinical speech research. Her research integrates three critical domains: neurodegenerative speech pathology with emphasis on multiple sclerosis and Parkinson's disease biomarker discovery; child language acquisition from infancy through adolescence with specialized focus on Hungarian narrative development; and phonetic analysis of fluency/disfluency patterns across diverse populations. Key methodological innovations include applying wav2vec 2.0 embeddings for neurological disorder detection and developing dynamic assessment protocols for early language intervention. Analysis of her 2023-2025 publications reveals a strategic dual focus: advancing computational speech pathology through deep learning diagnostics for multiple sclerosis while simultaneously refining child language assessment tools. Her work bridges theoretical linguistics with clinical applications, particularly through the GABI Hungarian child language database and collaborations with neurologists. The temporal analysis of speech remains her unifying methodological thread across both research streams. Professor Bóna actively shapes Hungarian linguistic infrastructure through the Child Language Research Group and historical documentation of ICPhS child language studies. Her leadership in ELTE's 15-year Applied Linguistics doctoral program demonstrates commitment to academic training, while publications on interpreting disfluencies and bilingual speech reflect engagement with practical language applications.
José Fragoso Santos is an Assistant Professor in the Department of Computer Science and Engineering at Instituto Superior Técnico, University of Lisbon, and a member of INESC-ID where he conducts research as part of the SAT group. His research focuses on embedding formal methods into software development processes, with particular emphasis on JavaScript program analysis and verification. His educational background includes: PhD in Computer Science from University of Nice Sophia Antipolis (2014) Master's degree in Information Systems and Computer Engineering from Instituto Superior Técnico, Universidade de Lisboa (2008) Dr. Santos' research centers on JavaScript verification, symbolic execution, and secure information flow. He led the development of JaVerT, the first separation-logic-based tool for JavaScript analysis and testing, which has gained significant interest from both industry and academia. His work bridges theoretical formal methods with practical applications, particularly in web security and program analysis. He has made substantial contributions to understanding JavaScript semantics, symbolic execution techniques, and secure information flow in web applications, with publications in premier venues like PLDI, POPL, and ECOOP. His recent publications demonstrate a strong focus on symbolic execution for JavaScript and related languages, with applications in web security and program verification. The research shows progression from foundational work on information flow security to advanced techniques like compositional symbolic execution and multi-language analysis platforms. His work on JaVerT and Gillian has established significant research directions in program analysis for dynamic languages. His notable scientific achievements include: Facebook research award for the JaVerT project Dr. Santos has supervised numerous graduate students on projects related to JavaScript verification, symbolic execution, web security, and formal methods. His research has practical applications, as evidenced by the collaboration with Amazon R&D engineers to verify critical components of the AWS Encryption SDK using JaVerT. He has served on program committees for major conferences including PLDI, OOPSLA, and IJCAI, demonstrating his standing in the programming languages community. As a member of the SAT group at INESC-ID, Dr. Santos collaborates with researchers working on formal methods, program verification, and software security. His current projects include extending JavaScript symbolic execution to Web Workers, developing formal semantics for JavaScript regular expressions, and creating first-order solvers for program analysis. He continues to push the boundaries of what's possible in JavaScript program analysis and verification.
Klaus Braagaard Moller is a Professor at the Department of Chemistry, Technical University of Denmark (DTU Chemistry). His research focuses on theoretical and computational physical chemistry, particularly chemical dynamics involving quantum theory, semi-classical mechanics, reaction dynamics, and ultrafast experimental techniques. He collaborates with groups at DTU Chemistry, DTU Physics, the University of Copenhagen, and international institutions in France, Spain, Germany, South Korea, and the USA. Education: Ph.D. in Chemistry (1994-1997), Technical University of Denmark M.Sc. in Chemistry (1988-1993), Technical University of Denmark His research explores the quantum-classical boundary, ultrafast processes in photochemistry, and computational methods like ab initio calculations, molecular dynamics simulations, and semi-classical trajectory methods. Recent highlights include time-resolved x-ray imaging of chemical bond formation and unraveling internal conversion dynamics in molecular systems. He employs proprietary codes and commercial software for simulations, emphasizing applications in solar cells and photocatalysis. His group is part of DTU Chemistry's Theoretical, Computational and Femtochemistry research area and welcomes collaborations and new members.
Dr. Kelsey Utne serves as Assistant Professor of History in the Department of History & Political Science within Arkansas Tech University's College of Arts and Humanities. She teaches foundational world history courses alongside specialized offerings in digital history and historiography, contributing significantly to both undergraduate and graduate education in historical studies. Her academic credentials include: PhD in History from Cornell University MA in History from Cornell University MA in History from University of Washington-Seattle Campus Dr. Utne's research explores critical intersections of space, memory, and power in global contexts. Her work examines how historical violence becomes embedded in urban landscapes, how religious reform movements transcend national boundaries, and how memorial practices evolve across generations. This approach bridges micro-historical analysis with transnational perspectives, particularly focused on South Asia and the Islamic world. Her recent publications (2020-2023) demonstrate sustained scholarly engagement with South Asian urban history and memorialization practices. The trajectory reveals increasing methodological sophistication in analyzing spatial politics and bodily experiences within historical narratives, with publications appearing in respected interdisciplinary journals and academic presses. Dr. Utne actively mentors students through specialized graduate seminars and research courses. Her supervision focuses on developing rigorous historical methodology while encouraging innovative approaches to spatial and digital history. Current teaching responsibilities reflect her commitment to both foundational world history education and cutting-edge historical research methods. While not leading a named laboratory, her work in digital history suggests engagement with spatial analysis tools and collaborative digital projects examining historical urban landscapes, particularly in South Asia.
Thierry Auger is a Research Fellow at the PIMM laboratory (Arts et Métiers Sciences et Technologies) since October 2017, where he leads research in the CoMet team focusing on Behavior and Microstructure of Metals. His extensive academic career spans over two decades with previous positions at the Laboratory of Mechanics of Structures, Soils and Materials (Ecole CentraleSupélec/MSSMAT, 2008-2017) and the Laboratory Centre for the Study of Metallurgical Chemistry (CNRS/CECM, 2001-2008). Dr. Auger's research centers on liquid metal embrittlement phenomena, metallurgy, and fracture mechanics. His work investigates how liquid metals interact with structural materials causing embrittlement, with particular focus on nuclear materials exposed to liquid sodium, lead, and lead-bismuth eutectic. His expertise spans from fundamental understanding of embrittlement mechanisms to practical applications in nuclear engineering systems. His recent publications (2021-2025) demonstrate a strong focus on high-entropy alloys exposed to liquid metals, advanced characterization of embrittlement mechanisms, and multi-scale modeling approaches. These works appear in leading journals including Corrosion Science, Scripta Materialia, and Journal of Nuclear Materials, reflecting his significant contributions to understanding material degradation in extreme environments. Dr. Auger actively contributes to nuclear materials research through multiple collaborative projects including ANR Gauguin and Meso3D, and maintains strong connections with national and international research institutions working on advanced nuclear systems and liquid metal technologies. His teaching portfolio includes Structural Integrity and Continuum Mechanics courses at ENSAM for Energy Engineering students, bridging his research expertise with educational responsibilities in materials science and mechanical engineering.
Yann André LeCun is the Jacob T. Schwartz Professor of Computer Science, Data Science, Neural Science, and Electrical and Computer Engineering at New York University, and serves as Chief AI Scientist at Meta. He holds appointments across multiple NYU institutions including the Courant Institute of Mathematical Sciences, the Center for Data Science, the Center for Neural Science, and the Tandon School of Engineering. LeCun leads the CILVR Lab (Computational Intelligence, Learning, Vision, Robotics) at NYU and is a key figure in Meta's FAIR (Fundamental AI Research) organization. LeCun's research spans machine learning, deep learning, computer vision, robotics, and computational neuroscience. He pioneered convolutional neural networks in the 1980s-90s, which became foundational to modern AI. His recent work focuses on self-supervised learning, energy-based models, and developing architectures for predictive world models that could enable machines to understand and interact with the physical world. LeCun advocates for open-source AI development through projects like Meta's Llama language models. His publication record shows consistent high-impact contributions since the 1980s, with recent work emphasizing self-supervised learning approaches like Joint Embedding Predictive Architectures (JEPA). The 15 most recent publications reveal a strong focus on representation learning, world models, and efficient learning paradigms that reduce reliance on massive labeled datasets. ACM Turing Award (2018) Princess of Asturias Award for Technical and Scientific Research (2022) Member of US National Academy of Engineering (2017) Member of US National Academy of Sciences (2021) Foreign Member of Académie des Sciences, France (2022) Queen Elizabeth Prize for Engineering (2025) VinFuture Grand Prize (2024) LeCun has advised approximately 30 PhD students who now lead AI research at major institutions worldwide. His lab has received significant funding from both government agencies and industry partners to advance fundamental AI research. The CILVR Lab fosters interdisciplinary collaboration across computer science, neuroscience, and engineering disciplines to tackle core challenges in artificial intelligence. LeCun actively engages with policymakers on AI governance, advocating for open research and targeted regulation. His work on open-source AI models represents a strategic approach to democratizing AI development while maintaining safety through community scrutiny. LeCun continues to push the boundaries of what machines can learn and understand about the physical world.
Rob Aitken is an Associate Professor in the Department of Political Science within the Faculty of Arts at the University of Alberta. He teaches a range of courses from introductory politics to advanced seminars on international political economy and research methods. His educational background includes a BA in Political Studies and Comparative Development Studies from Trent University, followed by MA and PhD degrees in Political Science from Carleton University. A leading scholar in International Political Economy, Aitken's research examines the cultural dimensions of financial systems, particularly how everyday people interact with global financial markets. His work bridges governmentality studies, cultural economy, and post-structuralist methods to understand how financial institutions mobilize working-class populations and how resistance to financial practices emerges. His publications reveal a consistent focus on the cultural aspects of finance, with recent work exploring payday lending, debt relationalities, and the financialization of micro-credit. His research demonstrates how financial practices are embedded in cultural contexts and power relations. As an educator, Aitken supervises graduate students interested in critical approaches to IPE and welcomes those working on cultural analysis of economic life. He teaches courses including POL S 101 (Introduction to Politics), POL S 462 (Political Economy of Global Governance), and POL S 680 (Theories and Methods of Political Inquiry) for PhD students.
Bao-Thi Van Cong is a PhD Student and Guest Researcher in the Department of Psychology at the University of Copenhagen's Faculty of Social Sciences. Her work centers on promoting social justice through understanding solidarity and social change in locally embedded contexts, with a focus on Danish queer spaces. She integrates qualitative and quantitative methods to explore intersectional perspectives within LGBTQIA+ communities. Her research interests include intergroup relations, social change, social movements, and mixed methods. Specifically, she investigates queer perspectives on allyship, the recognition of ethnic minorities within LGBTQIA+ communities, and factors driving intra- and intergroup solidarity with racialized queer communities. Her work aims to shed light on the necessary actions and actors for advancing social justice in diverse settings. Her recent publication in the British Journal of Social Psychology examines minority perspectives on allyship in Danish queer spaces. The research highlights the complexities of solidarity across ethnic and sexual minority lines, emphasizing the role of intersectionality in building inclusive social movements. This work contributes to understanding how marginalized groups navigate allyship and group boundaries. No scientific awards were mentioned in the provided text. No information on student advising or research grants is available.
