جستجوی استاد راهنمای دانشگاهی

Kevin Jamiesonمشاهده پروفایل

دانشیار

• Machine Learning
• Active Learning
• Multi-Armed Bandits
• +۴ مورد دیگر

Kevin Jamieson is an Associate Professor at the Paul G. Allen School of Computer Science & Engineering and an Adjunct Professor in the Department of Statistics at the University of Washington . His academic journey includes a B.S. (2009) , M.S. (2010) , and Ph.D. (2015) in electrical engineering from the University of Washington, Columbia University, and University of Wisconsin–Madison respectively. He completed a postdoc at UC Berkeley's AMP Lab before joining UW in 2017. Ph.D., Electrical Engineering, University of Wisconsin–Madison (2015) M.S., Electrical Engineering, Columbia University (2010) B.S., Electrical Engineering, University of Washington (2009) Jamieson's research lies at the intersection of interactive machine learning , active learning , and sequential decision making . His work focuses on: Adaptive sampling strategies in multi-armed bandits and reinforcement learning (RL) Developing instance-dependent optimal algorithms that adapt to problem difficulty Applications in robotics , human perception studies , and hyperparameter optimization Representation learning for large models and experimental design frameworks His 15 most recent publications (2025-2022) demonstrate expertise in bandit theory , contextual RL , and game-theoretic learning . Notable trends include sample-efficient optimization , adaptive A/B testing , and sim-to-real transfer in robotics. Jamieson has received: NSF CAREER award for foundational contributions Amazon Faculty Research award for innovation in learning systems He actively recruits graduate students and postdocs , emphasizing collaboration in areas like: Multi-agent RL and strategic actor learning Empirical process suprema and adaptive sampling theory Applications in robotics , large language model finetuning , and biomedical data analysis Jamieson leads the Washington AI Lab (WAIL) and develops open-source learning systems like the NEXT framework for real-world adaptive data collection. He serves as co-PI for the Institute for the Foundations of Data Science (IFDS) and co-organizes the Distinguished Seminar in Optimization & Data .

Huan Zhangمشاهده پروفایل

استادیار

• Trustworthy Machine Learning
• Formal Verification of Machine Learning
• AI Safety
• +۴ مورد دیگر

Huan Zhang serves as an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Illinois Urbana-Champaign (UIUC), with affiliate appointments in the Department of Computer Science and the Coordinated Science Laboratory. His research focuses on building trustworthy AI systems with formal verification techniques to provide provable guarantees for safety-critical applications, particularly in machine learning and neural networks. Dr. Zhang received his Ph.D. in Computer Science from UCLA in 2020, advised by Professor Cho-Jui Hsieh. His academic journey includes an M.S. in Computer Engineering from UC Davis (2014) and a Bachelor of Engineering from Zhejiang University (2012). Prior to joining UIUC, he completed a postdoctoral fellowship at Carnegie Mellon University (2021-2023) with Professor Zico Kolter. Huan Zhang's research program centers on formal verification of machine learning systems, with particular emphasis on neural network verification, AI safety, robustness, and reliability. He pioneered the linear bound propagation-based verification framework that enables formal verification for networks with millions of neurons. His work spans five major research categories: formal verification of machine learning, training trustworthy ML models, machine learning safety and adversarial attacks, reinforcement learning safety, and optimization for scalable machine learning. His CROWN framework (NeurIPS 2018) established a foundational approach for neural network verification through efficient linear bound propagation. His recent publications demonstrate a strategic expansion from foundational verification techniques toward increasingly complex systems including large language models, vision-language models, and robotic control systems. The research trajectory shows a clear progression from theoretical frameworks to practical implementations with real-world applications, particularly in safety-critical domains. His work increasingly bridges formal methods with practical AI deployment requirements. Winner of International Verification of Neural Networks Competition (VNN-COMP) as team leader (2021-2024) Schmidt Futures AI2050 Early Career Fellowship ($300,000 research grant) Adversarial Machine Learning (AdvML) Rising Star Award (2021) IBM PhD Fellowship (2018) Dr. Zhang leads the development of α,β-CROWN, a neural network verifier that has won VNN-COMP 2021-2023, and auto_LiRPA, a PyTorch-based library for perturbation analysis on general computational graphs. He has mentored numerous graduate students from CMU, UCLA, UIUC, and Columbia University. His research is supported by significant funding including the Schmidt Futures fellowship and industry collaborations. He teaches courses including ECE 120, ECE 484, ECE 584, and ECE 598 HZ on topics ranging from computing fundamentals to safe autonomy and machine learning. Dr. Zhang maintains active research collaborations across multiple institutions and is affiliated with UIUC's Coordinated Science Laboratory. His work has significant implications for safety-critical AI applications in autonomous systems, healthcare, and other mission-critical domains where reliability guarantees are essential. He regularly gives guest lectures at institutions including Yale, Stony Brook, and the University of Nebraska Lincoln on formal verification techniques.

Daniel Krutzمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Software Engineering Education
• +۵ مورد دیگر

Daniel Krutz is an Associate Professor in the Department of Software Engineering at Rochester Institute of Technology (RIT) , with a secondary appointment as Courtesy Associate Professor at the University of Florida's Department of Computer & Information Science & Engineering. He directs the AWARE Lab , focusing on Autonomous Systems, Warfare Applications, and Software Engineering , supported by $6M+ in federal grants from NSF, NSA, DOD, and AFRL. His research spans AI/ML, Self-Adaptive Systems, Decision Support Systems, and Accessibility in Computing Education . He holds a PhD from Nova Southeastern University and has taught courses including Software Engineering Freshman Seminar and Capstone Research Project . He is an NSF CAREER Award recipient (2022) and former AFRL Fellow (2018). Educations: BS, St. John Fisher College MS, Rochester Institute of Technology PhD, Nova Southeastern University Labs: AWARE Lab (Autonomy, Warfare, and Engineering) Awards: NSF CAREER Award (2022) AFRL Research Faculty Fellowship (2018) Teaching: Undergraduate/Graduate courses in software engineering, accessibility, and AI/ML Research Interests: Focus on experiential learning in computing education, neuroevolutionary algorithms, and AI ethics. Recent projects address empathy-building interventions for inclusive software development and context-aware decision support systems . Grants & Funding: Over $6M secured since 2018 from NSF, DOD, and NSA for projects in AI/ML, cybersecurity, and adaptive systems. Current work explores AI-driven stock trading frameworks and accessibility education modules.

• International Relations
• Security Studies
• Military Technology
• +۴ مورد دیگر

Sıtkı Egeli is an Associate Professor at the Department of Political Science and International Relations at İzmir University of Economics since 2015. With a PhD in International Relations from Bilkent University, an MA in Security Studies from University of Chicago, and a BA in Political Science from Boğaziçi University, he specializes in defense policy, security studies, and military technology. PhD: Bilkent University, International Relations (1993-1999) MA: University of Chicago, Security Studies (1988-1991) BA: Boğaziçi University, Political Science (1983-1988) His research focuses on weapons of mass destruction proliferation , air and missile defense , nuclear deterrence , space security , and disruptive military technologies . His publications analyze Turkish defense industrialization, Arctic geopolitics, and strategic stability in aerospace warfare contexts. Recent collaborative work (2017-2025) spans: • Balancing defense autarky (2025) • Arctic region involvement (2022) • Historical air power development (2021) • Military space operations (2021) • Turkish missile defense (2019) • Ballistic missile programs (2017)

Fei Fangمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Multi-Agent Systems
• Machine Learning
• +۵ مورد دیگر

Fei Fang is an Associate Professor in the Software and Societal Systems Department at Carnegie Mellon University (CMU) , where she explores the intersection of artificial intelligence and multi-agent systems . Her work integrates machine learning with game theory to address challenges in security , sustainability , and mobility , aligning with the AI for Social Good mission. Ph.D. in Computer Science, University of Southern California (2016) B.Eng. in Electronic Engineering, Tsinghua University (2011) Recent research focuses on reinforcement learning , large language models (LLMs) , and human-AI collaboration . Her team’s work has been recognized with 15+ awards across prestigious venues like IAAI, AAAI, and IJCAI. Notable accolades include the 2023 Allen Newell Award , 2022 Sloan Fellowship , and NSF CAREER Award (2021) . She actively contributes to educational initiatives , including teaching "Demystifying AI for Everyone" at CMU, and has sought part-time teaching assistants for course development. Her research spans 15+ domains , including AI ethics , cyber defense , traffic optimization , and public health .

Lisbeth Aggestamمشاهده پروفایل

دانشیار

• Foreign Policy Analysis
• International Politics
• Political Leadership
• +۴ مورد دیگر

Lisbeth Aggestam is an associate professor at the Department of Political Science and an associate researcher at the Center for European Research (CERGU) at the University of Gothenburg. She serves as the editor-in-chief of the international journal Foreign Policy Analysis , published by the International Studies Association (ISA) and Oxford University Press. Aggestam's research focuses on several interconnected areas: Political leadership and foreign policy Diaspora and foreign policy Foreign policy role theory The European Union as a global actor Her scholarly work demonstrates a consistent focus on leadership dynamics within European foreign policy, particularly examining how the EU navigates its role as a global actor amid shifting geopolitical landscapes. She has developed significant theoretical contributions to role theory in foreign policy analysis, creating frameworks for understanding how states and international organizations perform specific roles on the global stage. Aggestam's publication record reveals several important trends in contemporary foreign policy studies. Her work increasingly examines the intersection of domestic politics and international relations, particularly how diaspora communities influence state foreign policies. Her recent research addresses European strategic autonomy in the context of US foreign policy shifts and the implications of Sweden's NATO membership decision, reflecting her ability to connect theoretical frameworks with pressing real-world issues. As an educator, Aggestam serves as course manager and instructor for several key programs: EU2215: Europe in the World (MA, 15 hec) SK1136: Foreign Policy Analysis (BA, 7.5 hec) EU1145: The European Union in International Affairs (BA, 7.5 hec) Through her leadership of the Swedish Research Council project 'Transnational civil society and foreign policy' (2022-2025) and her editorial role at Foreign Policy Analysis , Aggestam plays a significant role in shaping contemporary discourse on international relations and European foreign policy.

Navid Azizanمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Control Systems
• +۵ مورد دیگر

Navid Azizan is the Alfred H. (1929) and Jean M. Hayes Career Development Assistant Professor at Massachusetts Institute of Technology (MIT), holding dual appointments in the Department of Mechanical Engineering (in Control, Instrumentation & Robotics) and the Schwarzman College of Computing's Institute for Data, Systems & Society (IDSS). He is also a Principal Investigator in the Laboratory for Information & Decision Systems (LIDS), and a faculty member of the MIT Statistics and Data Science Center, the Center for Computational Science and Engineering, and the Operations Research Center. Dr. Azizan received his PhD in Computing and Mathematical Sciences from the California Institute of Technology (Caltech) in 2020, his MSc in Electrical Engineering from the University of Southern California in 2015, and his BSc in Electrical Engineering with a minor in Physics from Sharif University of Technology in 2013. Prior to joining MIT, he completed a postdoc at Stanford University's Autonomous Systems Laboratory and was a research scientist intern at Google DeepMind. His research spans the intersection of machine learning, systems and control, mathematical optimization, and network science. Dr. Azizan's work focuses on developing principled learning and optimization algorithms for reliable intelligent systems, with applications to autonomy and sociotechnical systems. His research has significant implications for creating trustworthy AI systems that can operate effectively in complex, uncertain environments. Dr. Azizan's recent publications demonstrate a strong focus on uncertainty quantification, reliable AI systems, constrained optimization, and control-oriented learning. His work bridges theoretical foundations with practical applications, particularly in autonomous systems where safety and reliability are paramount. His research group has made notable contributions to areas including neural network verification, multi-agent reinforcement learning, and adaptive inference techniques for large language models, with several papers featured on MIT News and selected for oral presentations at top conferences. Alfred H. (1929) and Jean M. Hayes Career Development Professorship (2025-present) Frank E. Perkins Award for Excellence in Graduate Advising (2025) List of Outstanding Academic Leaders in Data from the CDO Magazine (2024, 2023) Amazon Science Hub Research Award (2023) Outstanding UROP Faculty Mentor (2023) Esther and Harold E. Edgerton (1927) Career Development Chair (2022-2025) Information Theory and Applications (ITA) Gold Graduation Award (2020) Dr. Azizan has been recognized for his excellence in graduate advising, receiving the Frank E. Perkins Award for Excellence in Graduate Advising in 2025. During the pandemic, he founded and co-organized the 'Control meets Learning' virtual seminar series, connecting researchers across disciplines. His work has attracted significant research funding from industry partners including Google, Amazon, and MathWorks, supporting both fundamental research and practical applications in reliable intelligent systems. The Azizan Lab at MIT brings together researchers from mechanical engineering, computer science, and applied mathematics to tackle challenges at the intersection of learning and control. The lab emphasizes both theoretical foundations and practical implementations, with a particular focus on developing algorithms that provide guarantees of performance and safety. Current research directions include uncertainty quantification in AI systems, constrained optimization for neural networks, and control-oriented learning for autonomous systems, with applications spanning robotics, transportation, and complex sociotechnical systems.

• Social Entrepreneurship
• Management
• Change Management
• +۴ مورد دیگر

Dr. Mathew Todres is a Senior Lecturer in Management at the School of Business, Faculty of Business and Law, University of Wollongong. His research focuses on Management, Change Management, International Business Management, and Strategic Management, with a particular emphasis on Social Entrepreneurship and Workplace Value Congruence. He has conducted action research in Social Enterprise Development and published in journals such as the Social Enterprise Journal and Journal of Business Ethics . Dr. Todres currently supervises PhD candidates Douglas Opoku Agyeman (Micro Entrepreneurship in West Africa) and Grant Hughes (Sports Management). He has received a University of Wollongong Faculty of Business Start-Up Grant (2018). His peer-reviewed work spans organizational behavior, narrative analysis, and social enterprise innovation. His research interests include autoethnographic analysis, narratological analysis, and the application of social theory to entrepreneurial practices. Dr. Todres has contributed to journals such as Medical Education and serves as a reviewer for Journal of Spirituality, Leadership, and Management , among others. His work bridges theoretical frameworks with practical applications in organizational dynamics and social impact initiatives.

• International Political Economy
• European Union
• Globalization
• +۶ مورد دیگر

Kathleen R. McNamara is Professor of Government and Foreign Service at Georgetown University, where she also co-founded the Global Political Economy Project with Professor Abe Newman. Her work centers on the European Union, globalization, and the cultural and political foundations of market authority. Her research interests include the political economy of the European Union, monetary politics, culture and identity in global markets, institutional change, and the democratic legitimacy of supranational governance. She examines how ideas, norms, and collective identities shape economic integration and state formation, especially in Europe. Her recent publications (2020–2024) reveal a strong focus on the EU’s geopolitical turn, industrial policy transformation, the impact of crises like COVID-19 on globalization, and the interplay between democracy and populism. These works reflect a deep engagement with both theoretical and policy-relevant dimensions of contemporary European and global political economy. International Studies Association 2018 Distinguished Scholar in International Political Economy ISA 2020 SWIPE Award for Mentoring Women in International Political Economy German Marshall Fund Fellow Fulbright Fellow Simone Veil Fellow at the European University Institute (2023) McNamara has been a visiting scholar at the Russell Sage Foundation, taught at Princeton University and Sciences Po (Paris), and advised the US National Intelligence Council. She is active in public scholarship, writing for Foreign Affairs , Foreign Policy , and The Washington Post . She is a founding figure in the Global Political Economy Project, which aims to reframe the study of global markets through interdisciplinary and critical lenses.

G. John Ikenberryمشاهده پروفایل

استاد

• International Relations
• Global Order
• American Foreign Policy
• +۵ مورد دیگر

G. John Ikenberry is the Albert G. Milbank Professor of Politics and International Affairs at Princeton University, jointly appointed in the Department of Politics and the Princeton School of Public and International Affairs. He is Co-Director of the Center for International Security Studies and the Princeton Project on National Security. Ikenberry also holds the title of Global Eminence Scholar at Kyung Hee University and has held visiting fellowships at All Souls College and Balliol College, Oxford. His research centers on international relations, with a focus on the liberal international order, American foreign policy, institutional design, and post-war order building. Ikenberry’s work explores how power, legitimacy, and institutions interact to shape global governance. His scholarship bridges theory and policy, influencing both academic discourse and real-world strategy. The 15 most recent articles and books reflect a deep engagement with themes such as liberal internationalism, U.S. primacy, multilateralism, and the resilience of global institutions. His publications analyze historical patterns of order creation, contemporary challenges to the Western alliance, and the future of democratic governance in a shifting geopolitical landscape. Scientific Awards: Schroeder-Jervis Award (2002) from the American Political Science Association for best book in international history and politics ( After Victory ) Fellow of the American Academy of Arts and Sciences Advising and Grants: While specific students are not listed, Ikenberry has co-directed major research projects including the Princeton Project on National Security and has advised on U.S. foreign policy through roles on the State Department Policy Planning Staff and the Council on Foreign Relations Task Force. His work has been supported by prestigious academic and policy institutions, enabling broad scholarly and practical impact. Labs and Research Centers: Ikenberry is actively involved in leading research centers at Princeton, including the Center for International Security Studies and the Princeton Project on National Security, which bring together scholars, policymakers, and practitioners to address pressing global challenges.

• European Union Law
• Constitutional Law
• International Law
• +۶ مورد دیگر

Maria Eugenia Bartoloni is a Full Professor of European Union Law at Sapienza University of Rome, Department of Legal and Economic Studies. She is also a member of the doctoral program faculty for "Internationalization of Legal Systems and Fundamental Rights" at Università della Campania "L. Vanvitelli" and previously served as its Master's Degree Course President. She coordinates the journal Il Diritto dell’Unione europea and serves on editorial boards for multiple EU law publications. Education: PhD in International and EU Law from Macerata University (2004), Law Degree (1999) from Macerata University. Research Interests: Focus on EU constitutional law, international legal norms coordination, fundamental rights application, judicial protection limits, and EU foreign/security policy. Her recent work explores the EU's unique legal frameworks for maritime concessions, the Charter of Fundamental Rights' scope, and the evolving legal dimensions of EU international relations. She has participated in numerous national and international research projects. Scientific Awards Marie Curie Fellow (2015) Principal Investigator for SELECT Project – "StrEnghten Lay and honorary judges European CompeTencies" (JUST-AG-2020 / JUST-JTRA-EJTR-AG-2020)

Bruce Ackermanمشاهده پروفایل

استاد

• American Constitutionalism
• Comparative Constitutionalism
• Theories of Justice
• +۶ مورد دیگر

Bruce Ackerman is Sterling Professor of Law and Political Science at Yale University, holding one of the most prestigious academic positions at Yale. He has made significant contributions to constitutional law, political philosophy, and public policy over his distinguished career. His educational background includes an LL.B. from Yale (1967) and a B.A. from Harvard (1964). Ackerman has received numerous honors including the Henry Phillips Prize for lifetime achievement in Jurisprudence (2002), an Honorary Doctorate from the University of Milan (2023), and recognition as a Commander of the French Order of Merit. Ackerman's research focuses on American Constitutionalism, Comparative Constitutionalism, and Theories of Justice. His groundbreaking work includes the three-volume series We the People , which explores great turning points in American constitutional history. His scholarship has had global impact, influencing constitutional reforms in France, Brazil, Britain, and other countries. His recent work examines the constitutional challenges posed by the internet revolution and digital age. His publications reveal consistent engagement with constitutional crises across different nations and time periods, with particular attention to emergency powers, presidential authority, and democratic resilience. Ackerman's work connects historical constitutional development with contemporary challenges to democratic institutions. Commander of the French Order of Merit Henry Phillips Prize for lifetime achievement in Jurisprudence (2002) Honorary Doctorate from University of Milan (2023) Member of the American Law Institute Member of the American Academy of Arts and Sciences Named Leading Global Thinker by Foreign Policy magazine Ackerman has advised numerous governments and constitutional bodies worldwide. His work Before the Next Attack served as basis for French constitutional reform on emergency powers, while The Stakeholder Society influenced wealth distribution reforms in Brazil and Britain. He continues to actively engage with current constitutional challenges through scholarly publications, media commentary, and direct consultation with constitutional institutions globally.

• Artificial Intelligence
• Computer Security
• Multi-Agent Systems
• +۳ مورد دیگر

Dr. Chunyan Mu serves as a Senior Lecturer in the School of Natural and Computing Sciences at the University of Aberdeen, actively contributing to both academic instruction and cutting-edge research in computing science while currently accepting new PhD students. Her research program centers on Trustworthy AI and Safe Autonomy, with specialized expertise in formal verification of responsibility, accountability, and privacy mechanisms within multi-agent systems. She investigates resilience frameworks for autonomous intelligent systems and develops advanced methodologies for information flow security analysis, bridging theoretical computer science with practical security implementations. Analysis of her publication trajectory (2014-2025) reveals consistent innovation in applying formal methods to security-critical systems. Key thematic developments include probabilistic strategy logic for observability analysis, quantitative verification of opacity properties, and game-theoretic approaches to security verification, demonstrating increasing sophistication in handling multi-agent accountability and system resilience challenges. Dr. Mu currently supervises PhD candidates and offers a fully funded doctoral position focused on formal verification of safety properties in autonomous systems, providing comprehensive financial support including tuition coverage, £20,780 annual stipend, and dedicated research funding for candidates with strong backgrounds in formal methods and artificial intelligence.

Gioele Zardiniمشاهده پروفایل

استادیار

• Co-design of complex systems
• Autonomous systems
• Transportation systems
• +۴ مورد دیگر

Gioele Zardini is the Rudge (1948) and Nancy Allen Assistant Professor at MIT's Department of Civil and Environmental Engineering (CEE), with affiliations to the Laboratory for Information and Decision Systems (LIDS) and the Institute for Data, Systems, and Society (IDSS). He holds a PhD from ETH Zurich and previously worked as a postdoctoral scholar at Stanford University. His research focuses on co-design of complex systems, autonomous systems, and game-theoretic modeling of transportation networks. Education: BSc and MSc in Mechanical Engineering and Robotics from ETH Zurich (2017–2019), PhD in 2023. He has held visiting roles at nuTonomy Singapore, Stanford, and MIT. Research interests include co-design methodologies, autonomous vehicle systems, compositionality in engineering, and strategic interactions in mobility networks. Recent work emphasizes scalable fleet coordination, safety-critical robotics, and user-centric transportation solutions. Notable awards include the 2024 ETH Doctoral Dissertation Award (Silver Medal), Best Paper at ITSC 2021, and federal grants for enhancing urban transit equity. He leads the Zardini Lab, fostering interdisciplinary collaboration in systems engineering and autonomy. Grants and advising: Received federal grants for transit accessibility projects. His work on Autonomy Talks has produced over 180 recorded lectures, promoting knowledge exchange in autonomous systems. Labs/Teams: Principal Investigator at LIDS, affiliate at IDSS, and founder of the Zardini Lab, focusing on systems co-design, mobility innovation, and game-theoretic frameworks.

• Global International Relations
• US Foreign Policy
• China Studies
• +۴ مورد دیگر

Amitav Acharya is UNESCO Chair in Transnational Challenges and Governance and Distinguished Professor at American University's School of International Service. He holds honorary positions at Rhodes University, University of Pretoria, and Nankai University, with previous appointments at Harvard, Oxford, and Tsinghua University. Research focuses on: Global international relations and world order transitions US-China relations and Asian regionalism Non-Western international relations theory United Nations and global governance Publications demonstrate extensive contributions to IR theory with works translated into multiple languages. Honors include: Three-time ISA Distinguished Scholar Award recipient American University Scholar-Teacher of the Year (2020) First non-Western President of International Studies Association (2014-2015)