جستجوی استاد راهنمای دانشگاهی

Angelo Peccerilloمشاهده پروفایل

استاد

• Igneous petrology
• Geochemistry
• Volcanology
• +۲ مورد دیگر

Angelo Peccerillo is a distinguished Full Professor of Petrology at the University of Perugia, Italy, with an extensive academic career spanning multiple Italian universities. He previously served as Full Professor of Petrology at the Universities of Calabria (1993-1997) and Messina (1985-1993), and as Associate Professor of Volcanology (1982-1985) and Assistant Professor (1971-1982) at the University of Florence. He earned his Laurea Degree in Geology from the University of Florence in 1970 and has been a member of Academia Europaea since his election. Peccerillo's research focuses on the petrology and geochemistry of magmatic processes, with particular expertise in igneous petrology, geochemistry, volcanology, orogenic volcanism, and continental rift magmatism. His scholarly work has established him as a leading expert in understanding the complex relationships between mantle processes, crustal interactions, and volcanic activity in the Mediterranean region and beyond. His research methodology integrates petrological, geochemical, and geophysical approaches to develop comprehensive models of magmatic systems. Analysis of Peccerillo's recent publications reveals a consistent focus on magmatic processes across diverse geological settings. His work spans from detailed studies of specific volcanic systems like the Aeolian Islands and Ethiopian Rift to broader investigations of mantle structure and geodynamic processes in the Mediterranean region. A recurring theme is the integration of multiple analytical approaches to model magma plumbing systems, understand mantle composition, and elucidate the geodynamic evolution of volcanic regions, particularly examining the relationships between deep and shallow mantle processes. Antonio Feltrinelli Price 2006 for Earth Sciences, awarded by the National Academy of Lincei, Italy Professor Peccerillo has supervised numerous MSc and PhD students both at his home institution and abroad. His editorial leadership includes serving as Chief Editor of the "European Journal of Mineralogy" from 2006 to 2008 and membership on the editorial boards of several prestigious journals including "Lithos," "Journal of Volcanology and Geothermal Research," "Geological Society of Italy Bulletin," and "Open Mineralogy Journal." He has been actively involved in research evaluation, serving on national and international panels for organizations such as NSF, ESF, CNR, MIUR, and NATO. Peccerillo maintains strong international scientific connections through visiting positions at institutions like the Australian National University, University of Gottingen, and University of Paris XI at Orsay. His leadership extends to professional organizations, having served as President of the Italian Petrology Group and currently as a Member of Academia Europaea. His administrative experience includes serving as Department Head and Coordinator of PhD programs at the Universities of Messina, Cosenza, and Perugia.

Ian Horrocksمشاهده پروفایل

استاد

• Knowledge Representation
• Description Logics
• Automated Reasoning
• +۴ مورد دیگر

Ian Horrocks is a Professor of Computer Science at the University of Oxford and a Fellow of Oriel College. His research focuses on knowledge representation, description logics, automated reasoning, and semantic web technologies. He has held academic positions at the University of Manchester (2003–2007) and served as Chief Scientist at Cerebra Inc. (2001–2006). Horrocks earned his BSc (1st class), MSc, and PhD in Computer Science from the University of Manchester (1981–1997). His work includes foundational contributions to ontology languages (e.g., OWL) and reasoning systems such as HermiT and ELK. He has supervised over twenty doctoral students and postdoctoral researchers. His honors include Fellowships from the Royal Society (2011), ECCAI (2009), and the British Computer Society (2005). He serves as Editor-in-Chief of the Transactions on Graph Data and Knowledge and leads initiatives in semantic web standards and knowledge graph applications. Key Roles: Editor-in-Chief (Journal of Web Semantics), Co-Chair (W3C OWL Working Group) Grants: EPSRC Senior Research Fellowship (2005), numerous international collaborations Labs: Oxford Semantic Technologies, involvement in projects like RDFox and PAGOdA

Zhou Zhi-Huaمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۳ مورد دیگر

Zhou Zhi-Hua is a Professor at Nanjing University's Department of Computer Science & Technology, serving as Standing Deputy Director of the National Key Lab for Novel Software Technology and Founding Director of LAMDA (Institute of Machine Learning and Data Mining). He holds simultaneous fellowships from ACM, AAAI, AAAS, IEEE, IAPR, IET/IEE, and CCF, reflecting his exceptional contributions to computational intelligence. His educational background includes: B.Sc. in Computer Science from Nanjing University (1996) M.Sc. in Computer Science from Nanjing University (1998) Ph.D. in Computer Science from Nanjing University (2000) Zhou's research pioneers fundamental advances in machine learning theory and applications. His seminal work on ensemble methods established new frameworks for classifier combination, while innovations in multi-label learning and anomaly detection addressed critical challenges in complex data analysis. His research bridges theoretical rigor with practical implementations across diverse domains including biometrics, data mining, and computer vision, resulting in over 150 publications and 18 patents. His textbooks "Ensemble Methods" (2012) and "Machine Learning" (2016) have become standard references in the field. Analysis of his publication trajectory reveals sustained leadership in core machine learning challenges: evolving from neural network ensembles (2002) through semi-supervised learning breakthroughs (2005) to foundational work on multi-instance learning (2012) and theoretical margin analysis (2013). His recent focus demonstrates increasing sophistication in handling complex data structures while maintaining theoretical soundness. His scientific excellence is recognized through: National Natural Science Award of China (2013) PAKDD Distinguished Contribution Award (2016) IEEE ICDM Outstanding Service Award (2016) IEEE CIS Outstanding Early Career Award (2013) Microsoft Professorship Award (2006) Simultaneous fellowships from 7 major international societies Zhou provides extraordinary service to the academic community as Executive Editor-in-Chief of Frontiers of Computer Science and Associate Editor-in-Chief of Science China Information Science. He founded the ACML conference and has chaired premier events including ICDM'16 and PAKDD'14. His leadership extends to serving as General Chair for ICDM'16, Program Chair for IJCAI'15 Machine Learning Track, and Area Chair for multiple top conferences. The available text does not specify student advising details or research grants. He directs LAMDA research group at Nanjing University, which has established itself as a global powerhouse in machine learning research, and contributes significantly to the National Key Lab for Novel Software Technology's mission of developing next-generation intelligent systems.

Marta Zofia Kwiatkowskaمشاهده پروفایل

استاد

• Automated verification
• Probabilistic model checking
• Temporal logics
• +۳ مورد دیگر

Professor Marta Zofia Kwiatkowska is Professor of Computing Systems and Fellow of Trinity College at the University of Oxford, where she has held a faculty position since 2007. She previously served as Professor of Computer Science at the University of Birmingham (2001–2007), Reader and Lecturer at the University of Birmingham (1994–2001), and Lecturer at the University of Leicester (1986–1994). Her academic career began as Assistant Professor at the Jagiellonian University in Kraków, Poland (1980–1988). Education: BSc/MSc in Computer Science, Jagiellonian University, Kraków MA, University of Oxford PhD, University of Leicester Research Interests: Professor Kwiatkowska spearheaded the development of probabilistic and quantitative verification methods on the international stage. Her work bridges theory and practice through the PRISM model checker—the leading software tool in probabilistic model checking—used worldwide for research and teaching. Application domains include communication and security protocols , nanotechnology designs , power management , ubiquitous computing and systems biology . She investigates automated verification , temporal logics , semantic models for concurrency , real-time systems , and biological process modelling . Current grant funding exceeds £3.7 million from EPSRC, EU and ERC, including the prestigious ERC Advanced Grant VERIWARE. Scientific Awards & Honours: Fellow of the Royal Society Fellow of the ACM Fellow of the European Association for Theoretical Computer Science (EATCS) Fellow of the British Computer Society (BCS) Fellow of the Polish Society of Arts & Sciences Abroad ERC Advanced Grant VERIWARE (€2.046 M, 2010–2015) Top Cited Article Award, Theoretical Computer Science (2005–2010) Best Paper Award, QEST 2006 Doctoral Supervision & Grants: Professor Kwiatkowska actively supervises doctoral students (D.Phil. at Oxford) and post-doctoral researchers. She welcomes applications in areas aligned with her research interests, detailed here . Current students include Charlie Griffin, Daqian Shao, Matthew Yuan and Minghao Liu; past students and researchers number over twenty, many now in faculty or industry leadership roles. Laboratory & Teams: She leads the Oxford Quantitative Verification group within the Department of Computer Science. Ongoing projects include FUN2MODEL, ELSA, FAIR and the flagship PRISM probabilistic model checker. The group maintains strong collaborations with biological, robotics and engineering teams worldwide.

Janusz Bujnickiمشاهده پروفایل

استاد

• Structural Biology
• Bioinformatics
• Computational Biology
• +۴ مورد دیگر

Janusz Bujnicki is a Professor and head of the Laboratory of Bioinformatics and Protein Engineering at the International Institute of Molecular and Cell Biology in Warsaw (IIMCB), Poland. He holds concurrent roles in science policy advisory bodies, including the European Commission's Group of Chief Scientific Advisors (2015-2020, then expert) and the Polish Academy of Sciences’ advisory panel (2024-). He is also a founding member of the Association of ERC Grantees (AERG) and serves on the Scientific Advisory Board of Life Science Center at Vilnius University. Academia Europaea Member (2018-) EMBO Member (2018-) Leadership Academy for Poland (2018) His research spans structural biology, RNA modification, computational biology, and molecular evolution. He has pioneered computational methods like ModeRNA, SimRNA, and ClaRNA for RNA structure prediction and analysis, and developed databases like MODOMICS for RNA modification pathways. His work has applications in understanding RNA function and drug design targeting RNA-processing enzymes. The 15 most recent publications focus on RNA structural modeling (e.g., ModeRNA, ClaRNA, SupeRNAlign), RNA-ligand interactions (LigandRNA), and RNA modification biology (MODOMICS database). These works bridge computational methods with experimental validation in RNA enzymology and structure-function relationships. Scientific Awards: ERC Starting Grant (2010), EMBO Member (2018), Crystal Brussels Sprout (2016), Prime Minister’s Award (2014), Knight’s Cross of Polonia Restituta (2014) Grants & Leadership: Founded RNA bioinformatics infrastructure at IIMCB, led EU science policy advisory groups, and organized international research competitions (RNA Puzzles)

Joseph Sifakisمشاهده پروفایل

پژوهشگر

• Model Checking
• Concurrent Systems Specification and Verification
• Component-Based Design
• +۳ مورد دیگر

Joseph Sifakis is a CNRS Research Director and founder of Verimag Laboratory in Grenoble, France. He holds the INRIA-Schneider endowed industrial chair since 2008 and has been instrumental in advancing concurrent systems specification and verification. Education: Electrical Engineering (Technical University of Athens), Computer Science (University of Grenoble) Research interests focus on component-based design , real-time systems , and correct-by-construction techniques . He pioneered the development of the BIP framework and contributed to model checking, a cornerstone of industrial system verification. Recent publications emphasize component-based modeling, formal verification, and distributed system design, reflecting his work's impact on embedded systems and critical applications like aerospace and telecommunications. Scientific awards include: Turing Award (2007) CNRS Silver Medal (2001) Test-of-Time Award (2012) Multiple honorary doctorates (2008-2011) Member of prestigious academies Industry collaborations span Airbus, ST Microelectronics, and the European Space Agency, with applications in aeronautics, telecommunications, and industrial software standards. He leads the ARTIST2 Network of Excellence and directs the CARNOT Institute 'Intelligent Software and Systems'.

• Temporal aspects in NLP/IR
• Digital Humanities
• Large Language Models
• +۵ مورد دیگر

Adam Jatowt is a Professor and Head of the Data Science group at the Department of Computer Science, University of Innsbruck. He also serves as Deputy Head of the Digital Science Center and Research Center for Digital Humanities. His academic career spans roles at Kyoto University (2010-2020), National Institute of Advanced Industrial Science and Technology (AIST), and visiting positions at Karlsruhe Institute of Technology, University of La Rochelle, and University of California Berkeley. Research interests focus on temporal aspects of NLP/IR, computational history, large language models, and future forecasting. He leads projects combining digital humanities with advanced AI techniques, including temporal validity assessment and hint generation systems. Recent publications (2025) emphasize LLM applications in temporal analysis, QA systems, and energy sector digitalization. His work has been recognized through awards like the Friedrich Wilhelm Bessel Research Award (2024) and top-cited paper distinction in Information Sciences. He actively organizes conferences like ECIR 2026 and Text2Story workshops. Key contributions include developing WikiHint dataset, PlausibleQA framework, and tools like Rankify. His research also addresses societal challenges through ESG rating prediction and medical LLM applications.

Atakan Aralمشاهده پروفایل

دانشیار

• Edge Computing
• Distributed Systems
• Cloud Computing
• +۶ مورد دیگر

Atakan Aral serves as an Associate Professor at the Faculty of Computer Science, University of Vienna, where he leads research in edge computing, distributed systems, and environmental monitoring applications. His work focuses on developing efficient and resilient computing systems for environmental applications, with particular emphasis on neuromorphic edge AI and the cloud-edge continuum. He maintains an active teaching schedule offering courses in Distributed Systems Engineering, Cloud Computing, and Practical Software Courses with Bachelor's Thesis work across multiple semesters through 2025. Dr. Aral's research interests span several critical areas in modern computing including edge computing architectures, federated learning approaches, neuromorphic computing for environmental monitoring, and resilient systems design. His work addresses fundamental challenges in resource-constrained environments, particularly focusing on latency-sensitive applications and energy-efficient computation. The interdisciplinary nature of his research bridges theoretical computer science with practical environmental applications, developing systems that can operate effectively in remote or resource-limited settings. Analysis of his recent publication trajectory reveals a clear evolution from foundational cloud computing research toward increasingly specialized edge intelligence systems. Early work focused on resource allocation and scheduling in cloud environments, while his current research emphasizes neuromorphic approaches for sustainable environmental monitoring. His publications demonstrate growing interdisciplinary collaboration, particularly with environmental scientists, and increasing focus on practical implementations of theoretical concepts in real-world monitoring systems. Dr. Aral leads significant research projects including TROCI (Towards Resilient Operation of Critical Infrastructure), an ongoing initiative, and SWAIN (Sustainable Watershed Management Through IoT-Driven AI), which ran from February 2021 to February 2024. His work spans multiple dimensions of computing systems, from hardware-aware algorithms to application-level implementations, with consistent contributions to major conferences and journals in distributed systems and edge computing. He is an active member of the Scientific Computing research group at the University of Vienna, working from Room 6.49 at Währinger Straße 29. His research environment includes collaboration with the Environment and Climate Research Hub, reflecting the interdisciplinary nature of his work that bridges computer science with environmental applications. His publications indicate strong international collaboration across European institutions and research groups.

• Numerical Analysis
• Partial Differential Equations
• Finite Element Method
• +۳ مورد دیگر

Dirk Praetorius is a Professor of Numerics of Partial Differential Equations (PDEs) at the Technische Universität Wien (TU Wien) , affiliated with the Institute for Analysis and Scientific Computing (ASC) within the Faculty of Mathematics and Geoinformation . He leads the research group on Numerics of PDEs and has held various leadership roles, including Institute Director (since 2020) and head of the Numerics research area. His work focuses on numerical methods for PDEs, including Finite Element Methods (FEM), Boundary Element Methods (BEM), adaptive algorithms, and computational micromagnetics. Education and Career: Praetorius earned his Diplom in Mathematics (2000) and PhD in Applied Mathematics (2003) from TU Wien, followed by a Habilitation in Numerical Analysis (2005). He has been a faculty member at TU Wien since 2005, progressing from Assistant Professor to full Professor in 2017. He has also held visiting positions at institutions such as the University of Jyväskylä and RICAM (Linz). Research Interests: His research spans numerical analysis, adaptive FEM/BEM, a-posteriori error estimation, matrix compression, and computational micromagnetics. He has contributed to modeling spin dynamics, magnetic skyrmions, and multiscale systems. His work emphasizes efficient algorithms for large-scale problems and optimal computational complexity. Awards and Editorial Roles: Praetorius received the TU Best Teacher Award (2021) and TU Best Lecture Award (2019). He serves as Senior Editor for Computational Methods in Applied Mathematics (CMAM) and on the editorial board of Applied Numerical Mathematics (APNUM) . He co-founded the outreach initiative TUForMath to promote mathematics education. Grants and Projects: He leads or co-leads several research projects funded by the Austrian Science Fund (FWF), including the collaborative SFB "Taming Complexity in Partial Differential Systems" (2017–2025) and international collaborations with Germany. His work addresses topics like functional error estimates, nonlinear PDEs, and computational design of magnetic devices. Labs and Teams: He contributes to the ASC Institute and coordinates interdisciplinary projects involving computational physics and engineering. His team develops software tools like MooAFEM and Commics for micromagnetic simulations.

• Software Architecture
• Microservices
• Cloud Computing
• +۷ مورد دیگر

Uwe Zdun is a Professor at the Faculty of Computer Science, University of Vienna, where he serves as Vice-Director of Studies for Computer Science and Head of the Research Group Software Architecture. His teaching portfolio includes core courses such as Software Engineering 2, Advanced Software Engineering, and Practical Software Courses for Bachelor's and Master's theses across multiple semesters (2024W-2025S). His research spans software architecture with emphasis on microservices, cloud computing, and DevOps. Key focus areas include architectural design decisions, infrastructure-as-code conformance, security in distributed systems, and the integration of machine learning operations (MLOps/RLOps). He investigates cognitive aspects of architecture practices through controlled experiments and develops model-driven approaches for quality assessment in complex systems. Recent publications (2024-2026) reveal three dominant trends: (1) Security and coupling analysis in infrastructure-as-code deployments, (2) MLOps/RLOps integration for Industry 4.0 cyber-physical systems, and (3) Performance optimization patterns for CI/CD pipelines and autoscaling. His work bridges theoretical architecture models with industrial practice, particularly in microservice ecosystems and reinforcement learning applications. Professor Zdun leads the Research Group Software Architecture at the University of Vienna's Faculty of Computer Science. The group focuses on empirical validation of architectural patterns, tool development for conformance checking, and advancing design decision methodologies in cloud-native and AI-driven systems.

Jean-Pierre Gattusoمشاهده پروفایل

استاد پژوهش

• Ocean Acidification
• Marine Ecosystems
• Climate Change Mitigation
• +۳ مورد دیگر

Jean-Pierre Gattuso is a CNRS Research Professor at the Laboratoire d'Océanographie de Villefranche (Sorbonne University) and Associate Scientist at the Institute for Sustainable Development and International Relations (IDDRI-SciencesPo, Paris). His research focuses on the impacts of ocean acidification and warming on marine ecosystems, as well as ocean-based solutions to climate change mitigation and adaptation. Current Roles : CNRS Research Professor, Associate Scientist at IDDRI-SciencesPo Past Positions : Research Professor at Shantou University (2006–2009), Visiting Scientist at Rutgers University and NCAR (2004–2005), Group Leader at Laboratoire d'Océanographie de Villefranche (1998–2004), and others. His research interests span ocean acidification , carbon and carbonate cycling , climate change impacts on marine ecosystems , and ocean-based mitigation strategies . He co-edited the first book on ocean acidification and contributed to IPCC AR5 and AR6 reports. Recent publications highlight his work on ocean alkalinity enhancement , CO2 sequestration , and climate policy integration . He has developed tools like FOCE systems for in situ ocean acidification experiments and standardized ocean carbonate chemistry analysis. Scientific Awards : Ruth Patrick Award (2020), Blaise Pascal Medal (2014), Vladimir Vernadsky Medal (2012), and others. Academic Memberships : Foreign member of the Chinese Academy of Sciences, elected member of the European Academy of Sciences, Academia Europaea, and founder of the European Geosciences Union. Gattuso has led the Ocean Acidification International Coordination Centre at the International Atomic Energy Agency and will co-chair the 2025 One Ocean Science Congress.

• Software Engineering
• Computer Supported Cooperative Work (CSCW)
• Human-Computer Interaction (HCI)
• +۵ مورد دیگر

Hilda Tellioglu is an Associate Professor and Dean of Academic Affairs for Informatics at TU Wien, leading the Artifact-based Computing and User Research department. She holds a dual role as Head of Research Unit and oversees the Office of the Dean. Her work focuses on Human-Computer Interaction (HCI), Design Thinking, and Digital Transformation, with a strong emphasis on socio-technical systems and participatory design methodologies. Research interests span software engineering, CSCW, ambient assisted living (AAL), and digital co-creation practices in urban planning. She has spearheaded projects like aspern.mobil LAB, EnviSense, and StreetForum, exploring smart mobility, environmental sensing, and citizen participation in urban development. Her work frequently integrates tangible interfaces and model-based design approaches. Key contributions include frameworks for digital transformation evaluation (EEFCET 2020), user-centered design for informal caregivers (TOPIC platform), and crisis management systems using crowdsourcing (RE-ACTA). She has led over 20+ research projects funded by FFG, EU, and national agencies, focusing on mobility innovation, healthcare technology, and sustainable urban systems. Teaching responsibilities include courses on Design Thinking, Digital Transformation, and Research Methods across bachelor's, master's, and PhD programs. She actively promotes interdisciplinary collaboration through initiatives like the Center for Technology & Society (CTS) and Living Lab methodologies.

Jürgen Gaussمشاهده پروفایل

استاد

• Quantum Chemistry
• Quantum-chemical treatment of relativistic effects
• Quantum-chemical calculation of NMR chemical shifts
• +۷ مورد دیگر

Jürgen Gauss is a Professor of Theoretical Chemistry at Johannes Gutenberg-Universität Mainz, Germany. With over 350 publications and an h-index of 85 (ISI WebOfScience)/96 (Google Scholar), his work focuses on high-accuracy quantum-chemical methods for energy and property calculations. Education: PhD in Theoretical Chemistry (1988), Universität zu Köln Positions: Full Professor (2001-present), Associate Professor (1995-2001), Research Associate (1991-1995), Postdoctoral Researcher (1990-1991) His research revolutionized NMR chemical shift calculations through the GIAO-MP2 scheme, extended to Cholesky decomposition techniques. He pioneered the first CCSD(T)-level analytic second derivatives for magnetic properties and developed the HEAT protocol for sub-kJ/mol thermochemical accuracy. Scientific Awards: Carl-Duisberg Gedächtnispreis (1996) Medal of International Academy of Quantum Molecular Science (1997) Akademiepreis (2003) Gottfried-Wilhelm Leibniz-Prize (2005) Foreign Member, Norwegian Academy of Science and Letters (2018) Advisees: Current PhD students include Sophia Burger, Florian Mast, Max Erichsen, and Malte Hellmann. His group develops the widely-used CFOUR quantum chemistry software package (over 1,000 licenses).

Miklós Korenمشاهده پروفایل

استاد

• International Trade
• Economic Development
• Productivity Analysis
• +۵ مورد دیگر

Miklós Koren is a Professor of Economics at Central European University and Senior Research Fellow at the HUN-REN Centre for Economic and Regional Studies. His work bridges international trade , economic development , and managerial economics , focusing on trade policy, productivity spillovers, and the role of managers in development. Ph.D., Harvard University (2005) M.A., Central European University (2000) M.Sc., Budapest University of Economics (1999) His research explores trade facilitation , managerial impact on firm performance , and technological diversification . Recent work includes studies on expatriate managers, pandemic-related business disruptions, and the legacy of communist-era management practices. Key trends in his publications (2020–2024) emphasize managerial mobility and firm productivity (2024) machine learning vs. gravity models (2024) trade volatility and development (2023) data transparency standards (2022) Scientific awards include ERC Starting Grant (2012) Nicholas Káldor Prize (2014) Young Economist Award (2002, 2004) As Data Editor for Review of Economic Studies and Associate Editor for Journal of International Economics , he shapes methodological rigor in empirical research. His 2013 paper on technological diversification remains foundational for understanding volatility in developing economies.

Eitan Tadmorمشاهده پروفایل

استاد

• Nonlinear Conservation Laws
• Spectral Methods
• Kinetic Theory
• +۵ مورد دیگر

Eitan Tadmor is a Distinguished University Professor at the Department of Mathematics and Institute for Physical Science & Technology at the University of Maryland. He holds the 2024 Chaire d'excellence at Sorbonne University's Fondation Sciences Mathématiques de Paris, and has served as Director of multiple research centers including the Center for Scientific Computation and Mathematical Modeling (2002-2016) and The Sackler Institute of Scientific Computation (1993-1996). Current: University of Maryland (2005-present) Previous: UCLA (1995-2002), Tel-Aviv University (1989-1995), CalTech (1980-1982) His research spans nonlinear conservation laws , entropy-stable schemes , collective dynamics , spectral methods , and multiscale modeling . He pioneered the spectral viscosity method and developed stability criteria for numerical schemes. Recent publications focus on swarm-based optimization , Euler-Poisson equations , and hydrodynamic alignment with over 15000 citations. His work on kinetic formulations and regularizing effects in PDEs has become foundational in computational mathematics. 2022 Norbert Wiener Prize (AMS-SIAM) 2022 Gibbs Lecturer (AMS) 2015 Peter Henrici Prize (SIAM-ETH) 2013-2021 Fellow of AMS/SIAM NSF grants (1999, 2008-2012, 2012-2020) He developed CentPack software for hyperbolic conservation laws and co-authored influential review papers on numerical methods and mathematical modeling. His collaborative work with institutions like IPAM, KI-Net, and ETH-ITS demonstrates international scientific leadership.