جست‌وجوی استاد و پژوهشگر

Emilio Villa Gonzálezمشاهده پروفایل

استاد

• Active Displacement
• Physical Condition Assessment
• Muscle Strength Training for Young People
• +۵ مورد دیگر

Emilio Villa González serves as a Professor at the University of Granada, Spain, within the Faculty of Sports Sciences and Department of Physical Education and Sports since 2017. As a founding member of the PROFITH research group (established 2013), he bridges academic expertise with a decade of prior professional experience in fitness centers as a personal training specialist. His academic credentials include a Bachelor's in Physical Activity and Sports Sciences from Alfonso X el Sabio University (2004-2009), followed by a Master's and Doctoral Program in Biomedicine at the University of Granada. He earned the Extraordinary Doctorate Award in the health area and holds two additional master's degrees plus four postgraduate expert qualifications. Professor Villa González's research centers on active displacement , physical condition assessment , muscle strength training for youth , physical activity promotion in educational contexts , sports initiation/specialization , and health-oriented fitness trends . His interdisciplinary approach integrates exercise science, public health, and educational theory to develop evidence-based interventions for youth health improvement. Analysis of his 2023-2025 publications reveals consistent focus on school-based interventions, particularly active commuting and muscular fitness. His work employs systematic reviews, meta-analyses, and RCTs with international collaborations, showing significant policy impact—such as influencing U.S. National Institute for Health guidelines through his 2018 active transport review. Emerging trends include gamified resistance training (RETRAGAM protocol) and physical literacy assessment within 24-hour movement frameworks. His scientific recognition includes: Extraordinary Doctorate Award for the health area While specific grant details aren't provided, his international research stays (Ecuador, Chile, New Zealand, Porto) and high-impact publications indicate active involvement in funded projects. His mentorship likely extends through PROFITH group initiatives, though student names aren't specified in source materials. The PROFITH research group forms his primary collaborative environment, uniting exercise scientists, public health experts, and educators to advance physical activity promotion through rigorous, policy-relevant research.

Patrick Jailletمشاهده پروفایل

استاد

• Online Optimization
• Machine Learning
• Sequential Decision Making Under Uncertainty
• +۴ مورد دیگر

Patrick Jaillet is the Dugald C. Jackson Professor in the Department of Electrical Engineering and Computer Science at MIT's School of Engineering. He holds joint appointments with the Laboratory for Information and Decision Systems (LIDS), the Operations Research Center (ORC), the Operations Research and Statistics Group at MIT Sloan, and the Department of Civil and Environmental Engineering. Previously, he served as Head of Civil and Environmental Engineering at MIT (2002-2009) and Chair of the Department of Management Science and Information Systems at UT Austin (1997-2002). Dr. Jaillet's research focuses on online optimization and learning, sequential decision-making under uncertainty, and security and resilience in complex networks. His work spans theoretical foundations in optimization and machine learning with applications in transportation, online market analytics, and network security. He has developed mathematical frameworks for problems involving uncertainty, dynamic resource allocation, and strategic behavior in complex systems. His recent publications reveal strong trends in bridging theoretical optimization with practical machine learning applications. Key themes include Bayesian optimization for black-box functions, online learning with limited information, mechanism design for resource allocation, and network security applications. His work increasingly integrates large language models with traditional optimization techniques, reflecting the evolving landscape of AI-driven decision-making systems. Fulbright Scholar (1990) Fellow of the Institute for Operations Research and Management Science (INFORMS) Best Applications Paper Award at ICAPS 2019 Long-standing Associate Editor for top journals including Operations Research and Transportation Science Dr. Jaillet has advised over 40 doctoral students who now hold prominent positions in academia and industry, including faculty positions at MIT, Georgia Tech, and ETH Zurich, and research scientist roles at Amazon, Microsoft Research, and Google. His research has been consistently funded by major agencies including NSF, ONR, AFOSR, and international partners like Singapore NRF, with current projects focusing on learning algorithms for autonomous security and fundamental tradeoffs in optimization. He leads a vibrant research group spanning MIT's EECS department and ORC, with current funding supporting work on neural bandits, federated optimization, and network security applications. His research group operates at the intersection of theory and practice, with strong connections to industry through collaborations with IBM, Microsoft, Google, and various transportation and technology companies. The group maintains active partnerships with international institutions, particularly through SMART in Singapore, reflecting Dr. Jaillet's global research impact.

Kalle Lyytinenمشاهده پروفایل

استاد

• Digital Innovation
• Digital Innovation Regimes and Infrastructures
• Organizing Processes of Digital Innovation
• +۷ مورد دیگر

Kalle Lyytinen is the Iris S. Wolstein Professor of Management Design and Distinguished University Professor at Case Western Reserve University's Weatherhead School of Management, where he also serves as Faculty Director of the Doctor of Business Administration Program. He is a Professor in the Department of Design & Innovation. Lyytinen received his PhD in 1986 from the University of Jyvaskyla, Finland, following an Econ Lic (1982) and MS (1978) from the same institution. He was initially appointed to Case Western Reserve University in 2001. Lyytinen's research focuses on digital innovations and how they shape organizations and industries. His work helps organizations identify, absorb, manage, implement and transform through digital innovations. His specific research areas include the content and logic of digital innovation, digital innovation regimes and infrastructures, organizing processes of digital innovation, and how digital technology shapes engineering and design practices. He has also studied the adoption of new technologies, particularly mobile technologies, new collaboration forms enabled by technologies, and methods for determining large-scale system requirements. With over 450 publications in prestigious journals including Information Systems Research, Management Information Systems Quarterly, and Organization Science, he is among the top five scholars in the information system field by citations (51,000, h-index 100). Lyytinen's recent publications demonstrate his continued leadership in the digital innovation space, with research spanning digital platforms, technical debt, software complexity, and socio-technical systems. His work consistently bridges theoretical frameworks with practical applications across multiple industries and contexts. Distinguished University Professor 2017 Case Western Reserve University Honorary Doctorate 2017 Lappeenranta University of Technology, Finland Enduring Research Impact Award 2016 Weatherhead School of Management Honorary Doctorate 2016 Copenhagen Business School LEO Award 2013 Association for Information Systems Best Paper Awards from AIS (ICIS), HICSS and AoM (OCIS) Lyytinen has served as Vice President for the Association for Information Systems, Senior Editor for Information Systems Research, and Editor-in-Chief for the Journal of the Association for Information Systems. He has held editorial board positions in all major information systems and several organization theory and management journals. His global academic engagements include positions at London School of Economics, Erasmus University, University of Sorbonne, LUISS University, University of Cape Town, Copenhagen Business School, City University of Hong Kong, Auckland University School of Business, Umea University, Aalto University, and Oslo University.

Weina Li Chenمشاهده پروفایل

استادیار بالینی

• Educational Technologies
• Learning Design
• Online and Hybrid Learning
• +۵ مورد دیگر

Weina Li Chen serves as a Clinical Assistant Professor within the Education Division of Pepperdine University's Graduate School of Education and Psychology, teaching courses in the Master of Arts in Teaching English to Speakers of Other Languages (MA TESOL) and Master of Science in Leadership programs. With approximately ten years of teaching experience across diverse educational settings, she brings practitioner expertise to her academic role while maintaining active engagement in professional development and program design. Her academic credentials include: Ph.D. from Pepperdine University M.A. from Pepperdine University M.A. from University of York, England B.A. from Heilongjiang University, China Dr. Chen's research focuses on educational technologies and innovative learning design , with specialized expertise in online/hybrid learning environments, world language acquisition (particularly English as a Second Language), and teacher leadership development. She investigates how digital tools can enhance student engagement, social presence, and language proficiency through practical applications. Her work bridges academic research with classroom implementation, frequently resulting in practitioner workshops and conference presentations that translate theoretical concepts into actionable teaching strategies for language educators. Analysis of her 14 publications (2019-2023) reveals consistent emphasis on technology-mediated language learning. She explores platforms like Flip, Canva, and WeChat to create interactive communities and support speaking practice, with recurring themes including social-emotional learning integration and digital storytelling. Her research demonstrates a practitioner-scholar approach, targeting both pre-service and in-service teachers through workshops that address real-world classroom challenges in language education. As an educational leader, Dr. Chen founded and served as president of CABE Mandarin, an organization promoting Mandarin language education. She has designed multiple language programs for schools and universities, demonstrating commitment to expanding language learning opportunities. While specific grant funding details and student advisee names are not documented in available materials, her conference presentations and program development initiatives indicate active community engagement and professional contribution to the fields of TESOL and educational technology.

• Computer Science
• Formal Methods
• Automata Theory
• +۳ مورد دیگر

Dr Daniel Hausmann is a Lecturer in the Department of Computer Science at the University of Liverpool, affiliated with the School of Electrical Engineering, Electronics and Computer Science. His research focuses on formal methods, automata theory, and game theory, with applications to reactive synthesis and modal fixpoint logics. Current academic rank: Lecturer Key research areas: Formal verification, automata theory, game-based synthesis algorithms Contributions: Development of tools like COOL-MC and COOL 2 for modal fixpoint logics Recent research trends involve solving complex games for system verification, optimizing symbolic algorithms, and advancing coalgebraic approaches to satisfiability checking. His work spans both theoretical foundations and practical implementations for formal verification systems. Notable collaborations include researchers at the intersection of computer science and logic (e.g., N. Piterman, L. Schröder). The University of Liverpool's Computer Science department supports his work through academic infrastructure and research partnerships.

• Artificial Intelligence
• Machine Learning
• Computational Biology
• +۷ مورد دیگر

Dr. Antony McCabe is a Lecturer in Computer Science who divides his time between academia and the Computational Biology Facility. His work focuses on bridging artificial intelligence with biomedical challenges through software development, data analysis, and user interface design. Lecturer in Computer Science Member of Computational Biology Facility Research Interests McCabe specializes in applying AI techniques like neural networks and large language models to biomedical problems. His contributions include: Developing the lcmsWorld 3D visualization software for mass spectrometry Advancing the Allele Frequency Net Database for HLA diversity analysis Creating immunoinformatics tools for ethnicity-specific vaccine design Building infrastructure for biomedical data processing and storage Research Trends His publications reveal a consistent focus on computational biology infrastructure (4/6 papers), AI applications in immunology (3/6), and software development for proteomics (2/6). Key themes include data standardization, ethnic diversity considerations, and visualization techniques. Current Projects He is currently tuning large language models to analyze biological literature through a Biotechnology & Biological Science Research Council (BBSRC) grant (2024-2026). Teaching McCabe co-ordinates the COMP222 module on computer game design while also teaching algorithmic game theory, programming languages, and human-centric computing.

David Brownمشاهده پروفایل

استاد

• Accessibility
• Virtual Reality
• Multimodal Affect Recognition
• +۵ مورد دیگر

David Brown is a Professor in Interactive Systems for Social Inclusion at Nottingham Trent University's School of Science & Technology, Department of Computer Science. He serves as Director of the Computing and Informatics Research Centre (CIRC) and Research Group Leader for the Interactive Systems Research Group (ISRG). Director, Computing and Informatics Research Centre Research Group Leader, Interactive Systems Research Group Governor, Oak Field School for students with severe learning disabilities Conference Chair, International Conference on Disability, Virtual Reality and Associated Technology (ICDVRAT21) Associate Editor, Frontiers: Virtual Reality in Medicine Professor Brown's research focuses on developing inclusive technologies for people with disabilities. His work spans accessibility for students with learning, physical and sensory impairments; virtual reality applications for rehabilitation; multimodal affect recognition systems; social robotics for education; accessible visual programming toolkits; and serious games for developing physical and cognitive skills. His research is characterized by strong interdisciplinary collaboration and practical application in educational and healthcare settings. His recent publications demonstrate a consistent focus on applying emerging technologies like virtual reality, machine learning, and social robotics to address real-world challenges in accessibility and inclusion. The research shows a clear trajectory toward increasingly sophisticated multimodal systems that can detect user states and adapt accordingly, with applications ranging from autism support to mental health interventions. Extensive EU-funded research projects including Horizon 2020, Erasmus+, and EPSRC grants Notable projects: DIVERSIA, MaTHiSiS, Pathway, AI-TOP, EDUROB, No One Left Behind, Real Life, RISE Professor Brown has supervised numerous PhD students and collaborates extensively with international partners across Europe and Asia. His work bridges computer science, psychology, education, and healthcare to create technologies that promote social inclusion and improve quality of life for people with disabilities.

• Software Engineering Education
• Software Process Simulation
• Educational Games
• +۳ مورد دیگر

Emily Oh Navarro is a Continuing Lecturer in the Department of Informatics at the Donald Bren School of Information and Computer Sciences, University of California, Irvine. She has been actively involved in software engineering education, focusing on innovative teaching methods and simulation-based learning environments. Dr. Navarro earned her Ph.D. in Information and Computer Sciences from UC Irvine in 2006, with her dissertation titled "SimSE: A Software Engineering Simulation Environment for Software Process Education." She also holds an M.S. in Information and Computer Sciences and a B.S. in Biological Sciences, both from UC Irvine. Dr. Navarro's research primarily focuses on software engineering education, particularly using simulation and game-based approaches to teach software processes. Her work centers around SimSE, an educational software engineering simulation environment designed to help students learn and practice software engineering processes in an interactive, graphical setting. She has extensively explored how learning theories can be applied to improve software engineering education, investigating various educational approaches and their effectiveness. Her research demonstrates how simulation environments can overcome the limitations of traditional lectures and small-scale class projects by allowing students to experience complex software engineering processes that would be infeasible to practice in real-world academic settings. Dr. Navarro's publications reveal a consistent focus on simulation-based learning tools for software engineering education. Her work spans from theoretical explorations of learning theories to practical implementations of educational tools like SimSE and Problems and Programmers. She has conducted multi-site evaluations of her educational tools, demonstrating their effectiveness across different institutions and student populations. Her research shows progression from conceptual frameworks to practical implementations and rigorous evaluations, establishing her as a significant contributor to the field of software engineering education. Dr. Navarro teaches numerous courses in software engineering and design, including: Informatics 43: Introduction to Software Engineering Informatics 113: Requirements Analysis and Engineering Informatics 117: Project in Software System Design Informatics 121: Software Design I Informatics 122: Software Design II Informatics 191: Senior Design Project ICS 45J: Programming in Java ICS 139W: Critical Writing on Information Technology SWE 241P: Applied Data Structures and Algorithms SWE 245P: GUI Programming SWE 246P: Mobile Programming SWE 272P: Project Management Her teaching methodology reflects her research interests, emphasizing practical experience with software engineering processes through simulation-based learning. While specific information about her advising and grants is limited in available materials, her extensive research on educational methods suggests involvement in educational research projects and likely mentorship of students in software engineering projects. Dr. Navarro's primary research contribution is the SimSE project, which has evolved through multiple iterations and evaluations. This simulation environment represents a significant innovation in software engineering education, addressing the critical gap between theoretical knowledge and practical application in software process management. Her work continues to influence how software engineering is taught at UC Irvine and potentially at other institutions through her multi-site evaluations.

Giorgia Ramponiمشاهده پروفایل

استادیار

• Machine Learning
• Mathematical Modelling
• Reinforcement Learning
• +۳ مورد دیگر

Giorgia Ramponi is an Assistant Professor with Tenure Track at the Faculty of Business, Economics and Informatics at the University of Zurich. She is also an affiliated professor at the ETH AI Center and the Data Science and AI, Computer Science and Engineering department at Chalmers University of Technology. Her educational background includes a Ph.D. in Information Technology from Politecnico di Milano (completed June 2021 with honors), advised by Marcello Restelli, and a Master of Science in Computer Science with Honours Programme (110/110 cum laude) from la Sapienza (July 2017), advised by Flavio Chierichetti and Alessandro Panconesi. Dr. Ramponi's research focuses on machine learning and mathematical modeling, with particular emphasis on reinforcement learning and multiagent learning. Her work bridges theoretical foundations with practical applications, exploring how learning algorithms can make optimal decisions in complex environments. She has made significant contributions to areas including inverse reinforcement learning, multi-agent systems, constrained Markov decision processes, and human-AI interaction through preference learning. Her recent publications demonstrate a strong trend toward addressing fundamental challenges in reinforcement learning, particularly in multi-agent settings, constrained optimization, and learning from human feedback. Her work combines theoretical rigor with practical applications across robotics, economics, and decision-making systems. Hassler Research Grant for "Unified Feedback Integration Framework for Reinforcement Learning" Dr. Ramponi actively contributes to the academic community through conference participation, invited lectures (including at the Mediterranean Machine Learning Summer School), and teaching. She designed and taught the "Data Science and Machine Learning" course for the ETH-Ashesi Master program. She is also a member of the ELLIS community, which connects excellence in AI research across Europe. Her research group focuses on developing frameworks for reinforcement learning with various feedback types, including preferences, rewards, and demonstrations. The group aims to advance the theoretical understanding of learning algorithms while addressing practical challenges in real-world applications.

Daniel P. Schragمشاهده پروفایل

استاد

• Climate Change
• Earth History
• Energy Technology
• +۷ مورد دیگر

Daniel P. Schrag is the Sturgis Hooper Professor of Geology and Professor of Environmental Science and Engineering at Harvard University, serving as Director of the Harvard University Center for the Environment. He also co-directs the Program on Science, Technology, and Public Policy at Harvard’s Kennedy School Belfer Center for Science and International Affairs. His academic foundation includes a B.S. in geology and geophysics and political science from Yale University, followed by a Ph.D. in geology from the University of California, Berkeley in 1993. After teaching at Princeton University, he joined Harvard in 1997. Schrag’s research spans Earth’s entire climate history, specializing in extracting insights from geological records to forecast anthropogenic climate change. His work integrates geochemical oceanography, paleoclimatology, and stable isotope geochemistry with energy technology and policy analysis. Key investigations focus on carbon capture, low-carbon fuels, and the geochemical signatures of ancient climate shifts. His recent publications reveal an intensifying focus on climate policy mechanisms, particularly border carbon adjustments and climate finance frameworks that bridge international equity gaps. His scholarly contributions are recognized through prestigious awards including the MacArthur Fellowship (2000), the American Geophysical Union’s James B. Macelwane Medal, membership in the American Academy of Arts and Sciences, and designation as a Technology Review Young Innovator (1999). MacArthur Fellowship (2000) James B. Macelwane Medal (American Geophysical Union) American Academy of Arts and Sciences Member AAAS Fellow Technology Review 100 Young Innovators (1999) Schrag significantly influenced national policy through eight years on President Obama’s Council of Advisors on Science and Technology (PCAST), shaping reports on energy, climate, and STEM education. He co-founded the Potential Energy Coalition to deploy marketing expertise in climate risk communication and leads the Harvard-based Schrag Group, which explores interdisciplinary solutions at the climate-energy nexus through fieldwork, modeling, and policy analysis.

Austin Masonمشاهده پروفایل

مدرس

• Early Medieval History
• Digital Humanities
• Religious History
• +۴ مورد دیگر

Austin Mason is a Lecturer in History and the Assistant Director for Digital Humanities at Carleton College. He holds a BA from the College of William and Mary, an MA from the University of Oxford, and a PhD from Boston College. Since 2015, he has been actively involved in teaching and expanding the Digital Humanities program. Education: BA, College of William and Mary MA, University of Oxford PhD, Boston College His research integrates early medieval history with digital humanities, focusing on religious practices, material culture, and experimental archaeology. He is currently working on a book titled Listening to the Early Medieval Dead: Religious Practices in England, c.400-900 CE . His work often uses digital tools like 3D modeling and GIS to explore historical contexts. Austin's recent publications emphasize interdisciplinary approaches, including collaborations in historical game development, virtual reconstructions of workhouses, and experiential archaeology courses. His projects, such as the Virtual Viking Longship Project and the Virtual Gressenhall 3D models, highlight his commitment to merging traditional research with digital innovation. Affiliations: American Historical Association Medieval Academy of America Haskins Society (Treasurer) Association for Computers and the Humanities American Institute of Archaeology European Association of Archaeologists International Society for the Study of Early Medieval England EXARC (Experimental Archaeology) He collaborates with institutions like the Gressenhall Farm and Workhouse Museum and leads initiatives involving undergraduate students in digital scholarship.

Kerstin Radde-Antweilerمشاهده پروفایل

استاد

• Digital Media
• Religion
• Religious Studies
• +۴ مورد دیگر

Kerstin Radde-Antweiler is a full Professor of Religious Studies at the University of Bremen , where she has held a chair in Media and Religion since 2018. She serves as Deputy Spokeswoman of ZeMKI (Center for Media, Communication and Information Research) and Chairwoman of the Tenure Boards at the university. Her research focuses on deep mediatization of religious practices, digital gaming cultures , and media appropriation in religious contexts . Radde-Antweiler leads international projects such as ReCov19 (funded by the Trans-Atlantic Platform ) and Video Game Development in Asia (funded by Beethoven 2 ). She founded the International Academy of the Study of Gaming and Religion and chairs the Network of German-speaking Researchers on Religion and Culture in Times of Deep Mediatization (GeNet-ISMRC). She also contributes to the University of Zürich's Digital Religion(s) research group . Her recent publications analyze digital gaming as a transformative religious space , media settlers in mediatized religion, and value formations in gamevironments . She emphasizes interdisciplinary approaches combining religious studies, media theory, and computational analysis. Her work appears in journals like Religion , Media and Communication , and Gamevironments .

Jing Yangمشاهده پروفایل

استاد

• Data Visualization
• Visual Analytics
• High Dimensional Data Analysis
• +۷ مورد دیگر

Jing Yang is a full Professor and Director of MS CS Program in the Computer Science Department at the University of North Carolina at Charlotte (UNCC). She has been actively involved in data visualization and visual analytics research since joining UNCC in 2005 after completing her PhD at Worcester Polytechnic Institute. Dr. Yang earned her Bachelor's degrees in Engineering Mechanics and Computer Science from TsingHua University in 1997 and completed her Ph.D. in Computer Science from Worcester Polytechnic Institute in May 2005 under advisors Matthew O. Ward and Elke A. Rundensteiner. Her research focuses on developing visual analytics techniques for abstract data including multidimensional data, time-oriented data, networks, hierarchies, text documents, and trajectory data. She conducts design studies for application domains such as sports, bioinformatics, finance, network security, and health, while exploring fundamental visualization topics like interactions, insight management, clustering-based approaches, and animations. Her recent work emphasizes sports analytics, urban data, and multivariate time series visual analytics. Analysis of Dr. Yang's publication record reveals a strong focus on practical applications of visualization techniques across diverse domains. Her work consistently bridges theoretical visualization frameworks with real-world data challenges, particularly in transportation (taxi trajectories), sports (tennis match analysis), financial transactions, and bioinformatics. The publications demonstrate an evolution from foundational visualization techniques to increasingly sophisticated domain-specific applications. Dr. Yang has secured substantial research funding from NSF, EPA, DHS, and industry partners including Google and Bank of America. Her grants portfolio includes significant projects like TrajAnalytics (NSF, $200,950), Visualizing Event Dynamics (NSF EAGER, $75,317), and Visualizing High Dimensional Categorical Datasets (Google Faculty Research Award, $60,000), among others totaling over $4 million in research support. As an educator, Dr. Yang has taught numerous courses including Visual Analytics, Information Visualization, and Database Design. She directs the Charlotte Visualization Center and has mentored numerous students through research projects. Her collaborative approach is evident in her extensive co-authorship network spanning multiple institutions and disciplines. Current research directions include narrative animation for streaming text visualization and advanced techniques for exploring high-dimensional categorical datasets.

• Serious Games
• 3D Visualization
• Medical Education Technology
• +۴ مورد دیگر

Daniel Livingstone is a researcher at The Glasgow School of Art (GSA) specializing in the application of games and 3D technologies to enhance learning and public engagement. His work spans medical visualization, heritage interpretation, and broader educational technology domains. Current PGR supervisee: Shaojie Ni (AR & Gamification in Museums) Email: D.Livingstone@gsa.ac.uk Research Themes : Serious games, virtual reality, 3D anatomical modeling, disease education, digital heritage preservation, and AI-driven simulations. Highlights include AR tools for rheumatology engagement, VR applications in diabetes management, and digital reconstructions of historical surgical instruments. Article Trends : Focus on merging immersive technologies with healthcare education, heritage storytelling, and interdisciplinary applications of game engines. Recurring keywords: Augmented Reality , 3D Visualization , Medical Education , Public Health , Virtual Environments .

Haipeng Luoمشاهده پروفایل

دانشیار

• Machine Learning
• Online Learning
• Reinforcement Learning
• +۳ مورد دیگر

Haipeng Luo is an Associate Professor at the Thomas Lord Department of Computer Science, University of Southern California, holding the IBM Early Career Chair. He previously worked as a Postdoctoral Researcher at Microsoft Research, NYC, and has held visiting roles at Google and Amazon. His research focuses on developing practical machine learning algorithms with strong theoretical guarantees, particularly in online learning, bandit problems, reinforcement learning, and game theory. PhD in Computer Science, Princeton University (2011–2016) BSc in Computer Science, Peking University (2007–2011) His work spans adversarial and stochastic environments, addressing challenges in reinforcement learning, game dynamics, calibration, and omniprediction. Recent publications highlight advancements in regret minimization, game equilibrium computation, and robust optimization frameworks. Key contributions include algorithms for zero-sum games, bandit problems with feedback graphs, and theoretical analyses of convergence properties in multi-agent systems. Scientific accolades include Best Paper Awards at COLT 2021, COLT 2018, NeurIPS 2015, and ICML 2015. He has received prestigious grants such as the NSF CAREER Award (2020), Google Faculty Research Award (2020), and NSF CRII Award (2018). His students have secured academic and industry positions, and he actively teaches graduate courses in machine learning and online optimization.