جست‌وجوی استاد و پژوهشگر

H. Jane Baeمشاهده پروفایل

استادیار

• Turbulence Modeling
• Computational Fluid Dynamics
• Fluid Mechanics
• +۳ مورد دیگر

H. Jane Bae is an Assistant Professor of Aerospace at the California Institute of Technology (Caltech), affiliated with the Division of Engineering and Applied Science. Her research focuses on turbulence modeling, particularly developing high-fidelity computational methods to simulate high-Reynolds-number flows for applications in aircraft design, wind farms, and atmospheric predictions. She integrates machine learning, information theory, and numerical techniques to enhance turbulence modeling efficiency. Education: B.S. in Aerospace Engineering from Caltech (2011), Ph.D. in Mechanical Engineering from Stanford University (2018). She joined Caltech in 2021. Research interests include near-wall turbulence dynamics, resolvent analysis, sparse identification of nonlinear dynamics, and reinforcement learning for wall models in LES. Her work addresses computational cost reduction and model accuracy in complex flow simulations. Awards: 2023 Outstanding Referee Award from Physical Review. Teaching includes courses on fluid mechanics (Ae/APh/CE/ME 101 abc) and turbulence (Ae 239 ab). Her lab combines turbulence theory, high-performance computing, and data-driven methods to study unsteady flows over complex surfaces. Notable contributions include machine learning-based wall models and resolvent analysis frameworks for non-stationary flows.

Emilia Vann Yarosonمشاهده پروفایل

مدرس

• Supply Chain Management
• Sustainability
• Artificial Intelligence in Supply Chains
• +۶ مورد دیگر

Emilia Vann Yaroson is a Lecturer in Operations and Supply Chain Management at the Sheffield University Management School (The University of Sheffield). She holds a PhD in Operations and Information Management from the University of Bradford, an MSc in Business and Financial Economics from the University of Greenwich, and a PgCHE (Postgraduate Certificate in Higher Education). Her research focuses on leveraging emerging technologies (AI, blockchain, cloud computing, digital twins) to enhance supply chain resilience and sustainability, particularly aligned with UN SDGs related to healthcare access, environmental protection, and poverty reduction. Research Interests Pharmaceutical supply chains and resilience strategies Circular economy integration in supply chains Impact of Industry 4.0/5.0 technologies on sustainable operations Healthcare operations and quality improvement Artificial intelligence-driven decision-making in supply chains Teaching She teaches operations management, supply chain analytics, and related modules across undergraduate and postgraduate programs, including executive education. Her teaching aligns with the school’s Triple Crown accreditation, positioning it among global elite management schools. Research Group She is part of the Operations Management and Decision Sciences group, contributing to interdisciplinary projects on supply chain innovation and sustainability. Her work bridges theoretical frameworks (e.g., Complex Adaptive Systems) with practical applications in healthcare and manufacturing sectors.

Mikolaj Firlejمشاهده پروفایل

مدرس

• AI Security and Safety
• Ethics and Regulation of AI
• Innovation in Defense and Intelligence Sectors
• +۳ مورد دیگر

Mikolaj Firlej is a Lecturer in AI Law and Regulation at the University of Surrey's Surrey Institute for People-Centred Artificial Intelligence (PAI). He holds a D.Phil. and M.Phil. from the University of Oxford's Faculty of Law, an MPP from the Oxford School of Government, and degrees from the University of Warsaw. His research focuses on AI ethics, human control over autonomous systems, and defense sector innovation. He co-founded the Expeditions Fund, a dual-use venture capital firm, and serves as Director of the Law and Tech Hub. Research interests include AI security, global policy challenges for emerging technologies, and the intersection of AI with defense and intelligence sectors. His work emphasizes practical legal frameworks for regulating autonomous systems while fostering innovation. Firlej teaches AI and Law, Intellectual Property Law, and Law, AI & Technology courses. He supervises PhD students in AI security at Surrey's PAI. His publications span AI governance in defense, ethical frameworks for autonomous weapons, and regulatory approaches to complex adaptive systems. He actively engages with policy through expert testimony on UK AI defense capacity and international AI weaponization debates. Outside academia, he co-leads a family investment firm and explores geopolitics, literature, and sport.

Sijia Gengمشاهده پروفایل

استادیار

• Power Systems
• Control Theory
• Nonlinear Dynamical Systems
• +۴ مورد دیگر

Sijia Geng is an Assistant Professor in the Department of Electrical and Computer Engineering (ECE) at Johns Hopkins University (JHU) and a core researcher at the Ralph O’Connor Sustainable Energy Institute (ROSEI). She directs the Power and Energy Network Systems Analysis (PENSA) Laboratory and co-leads the NSF-funded Electric Power Innovation for a Carbon-free Society (EPICS) Center as co-PI. Her research focuses on integrating control theory, mathematical analysis, and optimization to enhance renewable energy utilization and grid resiliency. Education: Ph.D. and M.S. (ECE & Mathematics) from the University of Michigan-Ann Arbor (2016–2022), B.S. in Automation from Harbin Institute of Technology (2016). Postdoctoral work at MIT (2022) and visiting scholar roles at Purdue University (2015) and Pacific Northwest National Lab (2018). Research Interests: Dynamic analysis of inverter-based power systems, nonlinear control theory, data-driven decision-making, and multi-energy systems. Her work emphasizes achieving autonomous, resilient energy systems through advanced computational tools and theoretical frameworks. Awards: Best Paper Award at MIT/Harvard Applied Energy Symposium (2022), MIT Rising Stars in EECS (2021), Barbour Scholarship (2021), Towner Prize (2018), and Gerald and Esther Forrest Fellowship (2016). She is active in IEEE and INFORMS, organizing sessions at PES General Meeting and CISS conferences. Grants & Collaborations: Funded by NSF, DOE, MIT Energy Initiative, and industry. Leads global initiatives through EPICS, collaborating with UK, Australian, and international stakeholders. Co-leads ROSEI’s Grid pillar to advance fossil-free energy systems. Labs & Teams: Directs PENSA Lab, affiliated with JHU’s Data Science and AI Institute, Applied Mathematics & Statistics, and Computer Science departments.

Graeme Robertsonمشاهده پروفایل

استاد

• Authoritarian Politics
• Political Protest
• Regime Support in Authoritarian Systems
• +۳ مورد دیگر

Graeme Robertson is a Professor of Political Science at the University of North Carolina at Chapel Hill and Director of the Center for Slavic, Eurasian and East European Studies. His research focuses on authoritarian politics, protest dynamics, and regime stability in post-communist states, with particular emphasis on Russia and Ukraine. He earned his academic qualifications in political science, though specific details of his education are not explicitly stated in the provided texts. Robertson has authored influential books including Putin v. The People (Yale UP, 2019), Revolution and Reform in Ukraine (PONARS Eurasia), and The Politics of Protest in Hybrid Regimes (Cambridge UP). His work has appeared in top journals like the American Political Science Review and Proceedings of the National Academy of Sciences . Robertson’s research themes include the interplay between authoritarian regimes and public opinion, the role of identity in political mobilization, and the impact of external pressures on autocratic governance. His recent projects analyze Russia’s war in Ukraine, protest behaviors in hybrid regimes, and psychological underpinnings of support for authoritarian policies. As Associate Editor for Comparative Politics at the American Journal of Political Science , he contributes to advancing methodological rigor in the field. His interdisciplinary approach combines experimental methods, survey analysis, and comparative case studies to dissect complex political phenomena. Robertson leads the Center for Slavic, Eurasian and East European Studies, fostering academic exchange and research on Eastern Europe. His work frequently engages with policy-relevant issues, including authoritarian governance, conflict resolution, and democratic backsliding.

• Cybersecurity
• International Relations
• Military Strategy
• +۳ مورد دیگر

Jon Lindsay is an Associate Professor at the Sam Nunn School of International Affairs, part of the Ivan Allen College of Liberal Arts at Georgia Institute of Technology. His research focuses on cybersecurity, international relations, and military strategy, with an emphasis on cyber warfare, deterrence theory, and the impact of technological advancements like AI and quantum computing on global security. He explores topics such as cyber conflict dynamics, the role of deception in defense strategies, and the institutional challenges of military automation. His work often bridges theoretical frameworks from international relations with empirical analyses of modern cyber threats and geopolitical tensions. Notable contributions include studies on Stuxnet's implications for secret statecraft, the stability-instability paradox in cyberspace, and the strategic ambiguity of quantum computing. Lindsay has also engaged in policy debates on cross-domain deterrence and the evolving nature of intelligence operations in the digital age.

Bayu Jayawardhanaمشاهده پروفایل

استاد

• Mechatronics
• Nonlinear Control Systems
• Robotics
• +۵ مورد دیگر

Prof. Bayu Jayawardhana is a Full Professor in Mechatronics and Control of Nonlinear Systems at the University of Groningen, affiliated with the Faculty of Science and Engineering. He leads the Jayawardhana Group focusing on opto-mechatronics and advanced nonlinear control theories. His roles include Director of Engineering and Scientific Director of the Engineering and Technology Institute Groningen. He holds editorial positions in journals like International Journal of Robust and Nonlinear Control and European Journal of Control . Education: PhD in Control and Power Group from Imperial College London (2006), M.Eng from Nanyang Technological University (2003), and B.Eng from Institut Teknologi Bandung (2000). Research interests span opto-mechatronics for high-tech systems, nonlinear control, and systems biology. Key projects include digital twins for energy optimization, control of ocean energy systems, and modeling of cryogenic actuators for telescopes. His work integrates AI and model-based methods for high-performance systems. Notable awards include the 2016 FSE Faculty Teacher of the Year Award and the Ben Feringa Impact Award (2020). He advises on ventures like Ocean Grazer B.V. and Sencilia B.V. Teaching includes graduate courses on nonlinear control, opto-mechatronics, and fitting dynamical models to data. His research labs include the Groningen Centre for Systems and Control and the Data Science and Systems Complexity Center.

• Data Science
• Machine Learning
• Harmonic Analysis
• +۷ مورد دیگر

Mauro Maggioni is a Professor in the Departments of Mathematics and Applied Mathematics and Statistics at Johns Hopkins University. His research focuses on the mathematical foundations of Data Science, with applications in molecular dynamics, hyperspectral imaging, and reinforcement learning. He employs techniques from Harmonic Analysis, Approximation Theory, and Probability to develop scalable algorithms, particularly multiscale methods for analyzing high-dimensional data. Maggioni’s work bridges theoretical mathematics and practical applications, including cardiac electrophysiology modeling, unsupervised segmentation of hyperspectral images, and reduced-order modeling of complex systems. Education: B.S. in Mathematics from Università degli Studi in Milan, Italy; Ph.D. in Mathematics from Washington University in St. Louis. He held a Gibbs Assistant Professorship at Yale before moving to Duke University and later becoming a Bloomberg Distinguished Professor at JHU. Research Interests: Mathematical foundations of Data Science, Machine Learning, Partial Differential Equations, and their applications in physical and biological systems. Notable contributions include diffusion wavelets, interaction kernel learning, and multiscale geometric analysis of molecular dynamics data. Scientific Awards: Popov Prize in Approximation Theory (2007), NSF CAREER Award and Sloan Fellowship (2008), Fellow of the American Mathematical Society (2013), Simons Fellowship (2020). Advising & Grants: Maggioni mentors postdocs and students in areas like stochastic systems and signal processing. His group’s work is supported by Simons Foundation grants, NSF funding, and collaborations with institutions like MINDS and CIS at JHU. Labs/Teams: Leads a research group focused on data-driven discovery in mathematics and applied sciences, emphasizing interdisciplinary collaboration across computational methods, statistics, and domain-specific applications.

• Primatology
• Animal Behavior
• Evolutionary Anthropology
• +۳ مورد دیگر

Ian Gilby is an Associate Professor at the School of Human Evolution and Social Change, Arizona State University. His research focuses on the social behavior, ecology, and cognition of wild chimpanzees, particularly within the context of long-term studies at Gombe National Park, Tanzania. Gilby investigates topics such as cooperative hunting, dominance hierarchies, social bonding, and the influence of ecological factors on primate behavior. His work bridges primatology, evolutionary biology, and conservation science, with a strong emphasis on understanding the adaptive strategies of chimpanzees in complex social environments. Key themes in Gilby’s research include the evolution of cooperation, reproductive strategies, and the ecological drivers of social behavior. He has contributed significantly to studies on chimpanzee aggression, hunting tactics, and the role of vocal communication in group coordination. His findings highlight the intricate relationship between social structure, ecological conditions, and individual success in primate communities. Notably, Gilby is involved in the Gombe Chimpanzee Project, analyzing long-term datasets to address questions about data sharing in conservation science and the impacts of environmental changes on wildlife. While no formal awards or grants are explicitly mentioned in the provided texts, his extensive publication record underscores his expertise in primate behavior and ecology.

• Sustainability Science
• Climate Change Governance
• Food-Energy-Water Nexus
• +۳ مورد دیگر

Rimjhim Aggarwal is a Professor at the School of Sustainability, Arizona State University (ASU). Her research focuses on sustainability governance, climate risks, and the food-energy-water nexus, with emphasis on urban systems, social-ecological dynamics, and policy design. She explores how institutions and governance structures adapt to environmental challenges, particularly in rapidly urbanizing regions. Her work integrates interdisciplinary approaches, combining policy analysis, systems modeling, and participatory methods. Notable contributions include frameworks for nexus governance in Phoenix and Cape Town, studies on circular economy solutions for waste management, and analyses of climate adaptation strategies in agriculture. She also emphasizes education innovation through virtual field experiences to democratize geoscience learning. Key research themes include institutional fit in governance systems, climate risk integration in development goals, and equitable resource management in urbanizing contexts. Her publications span over three decades, reflecting deep engagement with global sustainability challenges such as biodiversity loss, water scarcity, and socio-environmental justice.

Pankaj Mehtaمشاهده پروفایل

استاد

• Statistical Physics
• Systems Biology
• Ecological Dynamics
• +۳ مورد دیگر

Pankaj Mehta is a Professor in the Department of Physics at Boston University, with additional affiliations in the Department of Biomedical Engineering. His research bridges statistical physics, theoretical biology, and interdisciplinary systems approaches. Key areas include ecological dynamics, synthetic biology, and the application of machine learning principles to biological systems. His work focuses on understanding emergent phenomena in biological systems, such as cell fate decisions, ecosystem stability, and signal processing in cellular networks. He has pioneered methods combining physics-based modeling with computational tools to study complex systems, including gene circuits, microbial communities, and cancer dynamics. Recent contributions highlight the use of order parameters for interpreting cellular states, geometric frameworks for ecological niches, and machine learning analogies to ecological principles. His interdisciplinary approach integrates experimental data with theoretical models to address questions in biomedicine, environmental science, and fundamental physics.

Elise Lavouéمشاهده پروفایل

استاد

• Technology Enhanced Learning
• Human-Computer Interaction
• Gamification
• +۱۲ مورد دیگر

Elise Lavoué is a full Professor in Computer Science at iaelyon School of Management, Jean Moulin Lyon 3 University, and a key researcher at the LIRIS laboratory (CNRS). She leads the SICAL research team and holds leadership roles including Editor-in-Chief of the STICEF journal, member of Labex ASLAN’s management committee, and member of the University of Lyon’s Research Ethics Evaluation Committee (CER-UdL). She is also affiliated with the ATIEF association. Her research focuses on enhancing motivation and engagement in digital learning environments through adaptive gamification, learning analytics, and human-computer interaction. She explores how tailored game elements, emotional awareness tools, and immersive technologies like virtual reality can support self-regulated learning, critical thinking, and skill development in complex digital contexts. Her recent publications span top journals such as IEEE Transactions on Learning Technologies, International Journal of Human-Computer Studies, Computers & Education, and CHI PLAY. These works reflect a strong trend in adaptive and personalized learning technologies, emotion-aware systems, and immersive training environments, particularly in educational and professional settings. Honorable Mention Award at ACM CHI PLAY 2019 (top 4%) Best Industrial Paper award at CSEDU 2020 Elise Lavoué actively supervises PhD students and post-doctoral researchers and leads multiple funded projects including LudiMoodle+, RENFORCE, Lex.gaMe, BODEGA, and Emoviz. These projects involve collaborations with institutions across France and focus on gamification, VR training, emotional dashboards, and vocabulary acquisition. She has secured funding from ANR, Labex ASLAN, CNRS, and other national bodies. Her work emphasizes interdisciplinary collaboration between computer science, education, and social sciences. She is involved in several research teams and labs, primarily the SICAL team within the LIRIS laboratory, a major interdisciplinary research unit in computer science, images, and information systems. Her projects often involve industry partners such as SpeakPlus and Woonoz, and she contributes to both scientific advancement and practical educational innovation.

Sendil Ethirajمشاهده پروفایل

استاد

• Strategic Management
• Innovation
• Competitive Strategy
• +۳ مورد دیگر

Sendil Ethiraj is a Professor of Strategy and Entrepreneurship at London Business School (LBS) and serves as Deputy Dean (Faculty). Originally from India, he earned his PhD in Management from The Wharton School at the University of Pennsylvania. Prior to joining LBS, he spent over a decade as faculty at the Ross School of Business, University of Michigan. His research focuses on strategic management, covering innovation processes, competitive strategy, organizational design, human capital management, and technology-driven industry transformation. He has extensively studied innovation in complex systems across sectors like oil and gas, mutual funds, and healthcare insurance. His work addresses organizational structures for capability development, employee goal alignment, and platform governance in digital ecosystems. At LBS, he contributes to academic leadership as a member of the Governing Body since 2022. His initiatives emphasize designing reward systems to attract global research faculty and advancing diversity, inclusion, and belonging through the LBS Advisory Board. He teaches core courses in LBS's Master's, Executive Education, and PhD programs. Key research areas: Innovation in unconventional industries Human capital dynamics Platform governance Strategic response to technological disruption Organizational design for complex systems Contact: sethiraj@london.edu

Jacob Fishمشاهده پروفایل

استاد

• Multiscale Computational Science
• Computational Mechanics
• Homogenization Methods
• +۵ مورد دیگر

Jacob Fish is the Robert A.W. and Christine S. Carleton Professor and Chair of the Department of Civil Engineering and Engineering Mechanics at Columbia University. He directs the Multiscale Science and Engineering Center and leads Columbia's Computational Science and Engineering initiative (iCSE), coordinating 65+ faculty. With 35 years of pioneering research, he specializes in multiscale computational methods bridging aerospace, automotive, and healthcare industries. His research integrates multiscale computational science with applications in: Homogenization and reduced-order methods for complex materials Stochastic modeling of heterogeneous systems Coupled thermo-chemo-electro-mechanical processes Data-physics driven frameworks for industrial processes Recent work emphasizes AI-enhanced modeling for composites, porous media, and environmental systems. His 15 most recent publications (2023-2025) demonstrate strong trends toward: Data-physics integration in manufacturing (e.g., resin transfer molding) Multiscale environmental applications (canopy flows, CO2 mineralization) Advanced numerical methods (discontinuous Galerkin, solver-free homogenization) Digital twin development for composite lifecycle management Scientific Awards & Honors: 2018 JSCES Grand Prize 2010 IACM Computational Mechanics Award 2005 USACM Computational Structural Mechanics Award 2003 Rensselaer Research Award Fellowships: AAM, USACM, IACM Two Best Paper awards He founded the commercial Multiscale Designer software suite (250+ global clients) and secured major grants including an NSF-DFG collaboration on thermoplastic interfaces. His textbooks are used in 200+ universities worldwide. Leads the Multiscale Science and Engineering Center focusing on industrial-scale computational challenges and mentors researchers through Columbia's iCSE initiative. Former President of USACM and current IACM Vice-President for the Americas.

• Machine Learning
• Dynamical Systems
• Algorithmic Information Theory
• +۳ مورد دیگر

Boumediene Hamzi is a Senior Scientist at the California Institute of Technology (Caltech) in the Department of Computing and Mathematical Sciences. He is also an Affiliate Fellow of the Data Science Institute at Imperial College London and an External Researcher at the Alan Turing Institute (London, UK). His career includes prestigious roles such as Marie Curie Fellowships and visiting professorships at institutions like Johns Hopkins University. Senior Scientist, Caltech (current) Affiliate Fellow, Data Science Institute, Imperial College London External Researcher, Alan Turing Institute Marie Curie Fellow, Imperial College London (twice) Marie Curie Fellow, Yıldız Technical University and Koç University His research bridges Machine Learning (ML) , Dynamical Systems Theory (DST) , and Algorithmic Information Theory (AIT) , aiming to develop a theoretical framework for ML. Key directions include: ML for Dynamical Systems: Analyzing systems via data in reproducing kernel Hilbert spaces. DST for ML: Using dynamical systems tools to understand ML algorithms. ML for AIT: Approximating Kolmogorov Complexity for compression and prediction. AIT for ML: Explaining ML applicability using AIT tools. He co-leads the Alan Turing Institute's Research Interest Group on "Machine Learning and Dynamical Systems" and co-organizes the One World Seminar Series on the Mathematics of Machine Learning. His work addresses challenges in modeling climate dynamics, biological systems, and complex domains. Scientific Awards Marie Curie Fellow (Imperial College London, Yıldız Technical University, Koç University) Hamzi has organized multiple international symposia and workshops on ML, DST, and AIT intersections, including events at Imperial College London, Fields Institute, and the Alan Turing Institute.