جستجوی استاد راهنمای دانشگاهی

برای مسیر پژوهشی‌تان، استاد راهنما، استاد دانشگاه و پژوهشگر مناسب را پیدا کنید و با آن‌ها ارتباط بگیرید.

نمایش ۷۲۱-۷۳۵ از ۸٬۰۲۳ استاد راهنما

اطلاعات پروفایل‌ها از صفحات عمومی دانشگاه‌ها گرفته شده و ممکن است به‌روز نباشد.

Shahin Kamaliمشاهده پروفایل

دانشیار

York UniversityCanada

Shahin Kamali is an Associate Professor in the Department of Electrical Engineering & Computer Science at York University's Lassonde School of Engineering. Previously, he served as an Assistant Professor at York University (2022-2024) and the University of Manitoba (2017-2022), where he continues to hold an Adjunct Professor position. He completed his Ph.D. in Computer Science at the University of Waterloo in 2014 and was a postdoctoral fellow at MIT's CSAIL lab from 2015-2017. Dr. Kamali received his B.Sc. from the University of Tehran and his M.Sc. from Concordia University, both in Computer Science. He has earned teaching certifications including the Kaufman Teaching Certificate Program from MIT and the Certificate in University Teaching from the University of Waterloo. His research focuses on algorithms' design, analysis, and limitations, with particular emphasis on online problems such as bin packing, paging, list update, and k-Server. His work extends to big-data applications of algorithms in data compression, graph partitioning, resource allocation in the cloud, and algorithmic aspects of blockchain technology. His recent publications (2023-2025) demonstrate a strong focus on learning-augmented algorithms, online computation with predictions, and novel applications in blockchain and graph theory. His research has been supported by multiple NSERC grants since 2010, with recent projects investigating models, applications, and limitations of online algorithms. He has successfully supervised numerous graduate students and serves on various committees related to algorithms conferences and academic governance. University of Waterloo Doctoral Thesis Completion Award (2014) University of Waterloo Mathematics Graduate Experience Award (2008) Dr. Kamali teaches advanced courses in algorithms and data structures and is scheduled to teach Design and Analysis of Algorithms (EECS 3101) in Fall 2025 and Advanced Data Structures (EECS 4101/5101) in Winter 2026. He is actively involved in organizing major conferences, including CCCG and WADS 2025 at York University.

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Dan S Jurafskyمشاهده پروفایل

استاد

Stanford UniversityUnited States

Dan S. Jurafsky is the Jackson Eli Reynolds Professor in Humanities and Professor of Computer Science at Stanford University. He holds joint appointments in the Department of Linguistics and Department of Computer Science. His academic journey includes a B.A. in Linguistics (UC Berkeley, 1983), Ph.D. in Computer Science (UC Berkeley, 1992), and postdoctoral work at the International Computer Science Institute (Berkeley, 1995-1998). Prior to Stanford, he was on the faculty at the University of Colorado, Boulder (1996-2003). Jurafsky's research bridges computational linguistics, natural language processing, and sociocultural studies. Notable works include The Language of Food (2014) and co-authorship of the seminal textbook Speech and Language Processing (2009, 2022). His work applies NLP to domains like policing interactions, healthcare communication, and historical discourse analysis. His awards include the MacArthur "Genius" Fellowship (2003), American Academy of Arts and Sciences membership (2020), and multiple ACL/IJCAI best paper recognitions. He co-created one of the first MOOCs on NLP with Chris Manning and has advised over 50 students, many of whom won top awards like the Arthur Samuel Thesis Prize. Current projects include studying dialect bias in AI systems, linguistic analysis of police interactions, and ethical foundations of large language models. He leads interdisciplinary teams at Stanford's Center for East Asian Studies and collaborates with researchers in sociology, psychology, and computer science.

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Sebastian van Strienمشاهده پروفایل

استاد

Imperial College LondonUnited Kingdom

Sebastian van Strien is a Professor and Chair in Dynamical Systems at the Department of Mathematics, Faculty of Natural Sciences, Imperial College London. His research focuses on Dynamical Systems, with emphasis on low-dimensional dynamics, applications to economics, and complex systems. He leads the Dynamical Systems group and is affiliated with the CNRS-Imperial Abraham de Moivre UMI. His work spans pure and applied mathematics, including contributions to renormalization theory, entropy dynamics, and network analysis. He has supervised numerous PhD students and holds an ERC Advanced Grant. Key publications include studies on coupled maps, holomorphic dynamics, and entropy monotonicity. His research bridges theoretical foundations with real-world applications in networks and economic models. Research interests include nonlinear dynamics , chaos theory , and interdisciplinary applications. Notable contributions include work on universality in period-doubling, transversality in hyperbolic systems, and data-driven analysis of critical transitions. He collaborates internationally, organizing conferences such as the International conference in honor of Jean-Marc Gambaudo . His monograph One-Dimensional Dynamics (with Welington de Melo) remains a foundational text in the field. Current projects explore sparse network dynamics and quasiconformal rigidity. Grants: ERC Advanced Grant, CNRS collaborations. Labs/Teams: Dynamical Systems Group, CNRS-Imperial UMI.

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Dominic O'Brienمشاهده پروفایل

استاد

University of OxfordUnited Kingdom

Professor Dominic O'Brien is a Professor of Engineering Science at the University of Oxford and Senior Research Fellow at Balliol College. He serves as Director of the UK National Hub in Quantum Computing and Simulation. His research focuses on optoelectronics, optical wireless communications, and quantum key distribution. He leads the optical communications group and has authored over 200 publications in these areas. His work emphasizes high-speed free-space optical systems, UV-based secure communication, and beam-steering technologies. Education: MA and PhD from the University of Cambridge, followed by a DPhil from the University of Oxford. His research interests include quantum networks, photonics, and energy-efficient optical systems. Notable projects include handheld low-cost quantum key distribution systems and terabit-per-second fiber-wireless links. He collaborates on initiatives like the WORTECS project for virtual reality applications using optical wireless. Publications span topics from UV solar-blind OWC to liquid crystal beam steering. His work bridges academic and industrial applications, addressing challenges in both classical and quantum communication systems. He contributes to standards for visible light communications and next-generation wireless infrastructure.

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Charles Monroeمشاهده پروفایل

استاد

University of OxfordUnited Kingdom

Charles Monroe is a Professor of Engineering Science and Alexander Mosley Fellow at St Peter’s College, University of Oxford. He serves as a College Tutor in Engineering Science, Vice-Master, and Fellow for IT and Website. His research focuses on electrochemical devices for energy storage and conversion, particularly batteries and fuel cells. He joined St Peter’s in 2015 after being an Assistant Professor of Chemical Engineering at the University of Michigan. Monroe holds a PhD in Chemical Engineering from UC Berkeley (near Palo Alto, California) and an undergraduate degree from Princeton. Education: Bachelor’s degree from Princeton University PhD in Chemical Engineering from University of California, Berkeley Research Interests: Monroe’s work bridges theoretical and experimental approaches to study electrochemical systems, emphasizing the interplay between material properties and device performance. His group investigates next-generation batteries for electric vehicles, long-lived batteries for renewable energy integration, and degradation mechanisms in lithium-ion batteries. Collaborations with companies like Bosch, Ford, and Procter & Gamble highlight practical applications of his research. Publications: Recent work spans advanced battery technologies, including solid-state systems, flow batteries, and electrolyte transport modeling. Key themes include voltage hysteresis, solvent segregation effects, and membrane fouling in redox flow batteries. Scientific Awards: No specific awards mentioned in the provided text. Advising & Grants: Leads the Monroe Research Group, collaborating with industry partners. His work is funded through partnerships with multinational companies, supporting projects on battery design and energy storage systems. No individual student names are listed, but the group actively engages in graduate research. Labs/Teams: Monroe Research Group focuses on electrochemical engineering, with facilities for experimental and computational studies in energy storage technologies.

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Kieron O'Haraمشاهده پروفایل

دانشیار

University of SouthamptonUnited Kingdom

Kieron O'Hara is an Associate Professor in Electronics and Computer Science at the University of Southampton. He is a founding contributor to Web Science, focusing on digital modernity's societal, economic, and political impacts. His work explores privacy preservation in AI/ML contexts, trust dynamics in networked societies, and internet governance. He co-authored seminal works like A Framework for Web Science (2006) and Four Internets (2021), and chairs UKAN's anonymisation network. He has held roles at the Ministry of Justice's transparency panel and serves as editor of Foundations and Trends in Web Science . Research Groups: Web and Internet Science, Centre for Democratic Futures External Roles: Speaker for 'Four Internets: The Ethics and Geopolitics of the Internet' (2019) His research interests include anonymisation techniques, data geopolitics, and the ethical implications of emerging technologies. Notable awards include Best Paper prizes at ACM Web Science (2016) and Best Oral Presentation at Sensecam (2012). Current projects focus on provenance/anonymization frameworks and national identity system analysis, funded by the Alan Turing Institute.

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Raoul-Martin Memmesheimerمشاهده پروفایل

استاد

Rhenish Friedrich Wilhelm University of BonnGermany

Prof. Raoul-Martin Memmesheimer is a Professor at the University of Bonn's Institute of Genetics , contributing to the Transdisciplinary Research Area (TRA) - Life and Health . His research focuses on understanding neural network dynamics across microscopic, mesoscopic, and large-scale phenomena, integrating mathematical approaches with neurophysiological insights. Key interests include the dynamics of precise spiking activity, collective network behavior, and computational principles underlying neural systems. Education & Background : While specific educational details are not listed, his position as a Professor indicates advanced academic qualifications in theoretical neuroscience or related fields. Research Interests : Memmesheimer's work bridges theoretical physics and computational neuroscience, addressing topics like spiking neuron models, learning in neural networks, and the emergence of complex behaviors. His group employs methods from computer science and applied mathematics to study how neural systems perform computations through their dynamic properties. Publications : Recent work explores topics such as gradient descent learning in spiking networks, STDP-based assembly dynamics, and oscillatory phenomena in hippocampal regions. These publications highlight his focus on both foundational theory and applications to biological systems. Awards & Collaborations : While no specific awards are listed, his participation in TRA Life and Health underscores collaborative efforts in transdisciplinary health-related research. His work is supported by the University of Bonn's strong focus on transdisciplinary innovation. Labs & Teams : His research group operates within the Institute of Genetics, leveraging interdisciplinary resources at the University of Bonn to advance theoretical neuroscience and computational biology.

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Jesse Wolfsonمشاهده پروفایل

دانشیار

University of California, IrvineUnited States

Jesse Wolfson is an Associate Professor and Vice-Chair for Inclusive Excellence in the Department of Mathematics at the University of California, Irvine. His research focuses on the interplay of arithmetic, geometry, and topology, with notable contributions to arithmetic topology, resolvent degree, and algebraic geometry. He co-directs the Southern California Geometry and Topology Center (SCGTC), an NSF Research Training Group (RTG) program actively recruiting graduate students in geometry and topology. He holds a PhD and has expertise spanning algebraic structures, homological algebra, and interdisciplinary applications such as fractals in music. His work bridges pure mathematics with educational outreach, including public lectures and collaborations with institutions like St. John’s College, Santa Fe. His email is wolfson@uci.edu , and he maintains an active research blog detailing his projects and collaborations. Wolfson’s research emphasizes foundational questions in mathematics, including Hilbert’s 13th problem and the epistemic role of proofs in AI. His recent talks and articles explore topics like prismatic cohomology, modular functions, and geometric gauge theories, reflecting his commitment to advancing both theoretical and applied mathematical frontiers.

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Carla Boninaمشاهده پروفایل

دانشیار

University of SurreyUnited Kingdom

Dr. Carla Bonina is Associate Professor in Entrepreneurship and Innovation at the University of Surrey Business School , with affiliations to multiple research centers including the Surrey Centre for the Digital Economy , Surrey Institute for People-Centred AI , and Latin American Open Data Initiative (ILDA). Her work bridges technology, policy, and sustainable development with a focus on Latin America. PhD in Management - London School of Economics and Political Science MSc in Public Administration - Centro de Investigación y Docencia Económicas (CIDE), Mexico City BSc in Economics - University of Buenos Aires, Argentina Research explores digital platform governance in international development, AI policy frameworks, and open data ecosystems in Latin America. She investigates how digital transformation intersects with social innovation and equitable development . Recent work analyzes data justice mechanisms and algorithmic bias in public service delivery. Key contributions include comparative OGD platform studies across Buenos Aires, Mexico City, and Montevideo. Her DIODE network research examines digital economies in developing countries. As co-PI for Audio Commons Initiative , she pioneered open audio content frameworks for creative industries. Mid-Career Researcher of the Year (Surrey Business School, 2021) Impact Award for digital government work (University of Surrey, 2020) Fellow, Surrey Institute for People-Centred AI Principal Researcher, ILDA Active in digital policy advisory for World Bank, OECD, and IDRC. Coordinates Por Mi Barrio urban governance case studies and contributes to UNESCO Open Science frameworks. Recent Surrey Speaks podcast (2023) discusses AI's role in social inequality dynamics.

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Juan Duránمشاهده پروفایل

استادیار

Delft University of TechnologyNetherlands

Dr. Juan Durán is an Assistant Professor at the Faculty of Technology, Policy and Management at TU Delft, specializing in the philosophy of science and technology. His work focuses on computer simulations, AI ethics, Big Data, and the epistemological challenges in computational science. Education: Bachelor/Master in Computer Science and Philosophy, National University of Córdoba (Argentina) PhD in Cluster of Excellence SimTech, University of Stuttgart (Germany) Research interests: Epistemic opacity and trust in algorithms Ethics of medical AI and machine learning Computational reliabilism as a framework for justification Dark data and scientific data governance Teaching roles include courses on ethics and engineering, IT and values, and philosophy of science. His publications include influential works like Computer Simulations in Science and Engineering (2014) and co-authored papers on AI trustworthiness and medical epistemology.

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Rineke Verbruggeمشاهده پروفایل

استاد

University of GroningenNetherlands

Prof. Rineke Verbrugge is a Professor in Artificial Intelligence at the University of Groningen's Faculty of Science and Engineering, affiliated with the Bernoulli Institute. Her research focuses on computational theory of mind, multi-agent systems, hybrid intelligence, and logical frameworks applied to social networks and legal reasoning. She holds additional roles on the Institute Advisory Board of CWI (Dutch National Research Institute for Mathematics and Computer Science) and several ERC/NWO selection committees. Her work bridges cognitive science and AI, emphasizing human-agent collaboration, belief formation in groups, and ethical AI design. Recent projects include developing computational models for theory of mind in negotiations and scenario-based Bayesian networks for legal evidence analysis. She has authored over 220 publications and supervised multiple PhD candidates in AI and logic. Key research themes include higher-order theory of mind applications, zero-one laws in provability logic, and agent-based policy evaluation for sustainable technologies. Her contributions span conferences like AAMAS, ICAIL, and HHAI, addressing topics from lie detection mechanisms to privacy conflicts in multi-user systems.

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Yi-Zhuang Youمشاهده پروفایل

دانشیار

University of California, San DiegoUnited States

Yi-Zhuang You is an Associate Professor in the Department of Physics at the University of California, San Diego (UCSD). He holds a Ph.D. from Tsinghua University (2013). His research focuses on theoretical investigations of correlated topological phases, quantum entanglement dynamics, and machine learning applications in many-body systems. Key areas include deconfined quantum criticality, symmetry-protected topological (SPT) phases, and the interplay between topology and quantum matter. His work bridges condensed matter physics and high-energy physics, exploring topics such as topological responses in gauge theories, entanglement holography, and quantum machine learning. Recent studies involve machine learning-driven approaches to quantum state preparation, symmetry discovery, and tomographic reconstruction of quantum systems. His contributions span theoretical frameworks for understanding topological transitions, fractionalization in lattice models, and the role of symmetry in quantum critical phenomena. Notable research highlights include the study of symmetric mass generation as a deconfined quantum criticality mechanism, the application of classical shadow tomography for efficient quantum state estimation, and the development of algorithms for self-similar dynamics modeling. His publications frequently intersect with experimental proposals for observing topological phases in materials like graphene and iridates. Dr. You’s affiliations include the UCSD Physics Department, with collaborations extending to institutions globally. His research is supported by grants focusing on quantum information, topological materials, and machine learning applications in physics. While no specific awards are listed, his work has been widely cited in high-impact journals across condensed matter and theoretical physics.

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Guido Noto La Diegaمشاهده پروفایل

استاد

University of StrathclydeUnited Kingdom

Professor Guido Noto La Diega is a Professor of Law, Technology, and Innovation at the University of Strathclyde's School of Law within the Faculty of Humanities and Social Sciences. He leads the LLM/MSc Law, Technology, and Innovation program and mentors a research team focusing on the intersection of law, technology, and innovation. His expertise spans European, Italian, and British legal frameworks for IoT, AI, robotics, blockchain, and cloud computing. He holds a PhD in Private Law from the University of Palermo and a postdoc in Cloud Computing Law from Queen Mary University of London. Research Interests: IoT governance, AI regulation, consumer protection, intellectual property law, and data protection. Key Projects: Leads the AHRC-DFG funded 'From Smart Technologies to Smart Consumer Laws' and contributed to the EU's AI in Education guidelines. International Recognition: Cited by the EU Court of Justice's Advocate General, House of Lords, and World Economic Forum. External Roles: Fellow at the Nexa Center, Research Associate at UCL's Blockchain Tech Centre, and member of the European Data Protection Board. His work emphasizes socially just and sustainable innovation, advocating for legal frameworks that protect consumers while fostering ethical technological advancement. Notable publications include Internet of Things and the Law , an open-access book addressing IoT's legal challenges.

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Matthias S. Maierمشاهده پروفایل

دانشیار

Texas A&M UniversityUnited States

Matthias S. Maier is an Associate Professor in the Department of Mathematics at Texas A&M University, affiliated with the College of Arts & Sciences. His research focuses on multiscale methods, computational fluid dynamics, and finite element software development, particularly with the deal.II library. He organizes an annual undergraduate summer school on PDE modeling and simulation. Research Interests: Multiscale effects in Maxwell’s equations, computational fluid dynamics, finite element methods, and numerical analysis. His work includes studies on surface plasmon-polaritons, homogenization theory, and high-performance computing for hyperbolic systems. Developed ryujin, a high-performance finite-element solver for compressible flows. Contributed to deal.II, a widely used open-source finite element library. Recipient of NSF awards (DMS 1912847, DMS 2045636) and AFOSR funding. Teaching includes courses on numerical methods (Math 417, 610), mathematical modeling (Math 442), and finite element methods (Math 676). He advises graduate students in applied mathematics and computational science. Labs/Teams: Core developer of deal.II and contributor to the ryujin framework. Collaborates with interdisciplinary teams in physics and engineering.

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Bojan Popovمشاهده پروفایل

استاد

Texas A&M UniversityUnited States

Bojan Popov is a Professor in the Department of Mathematics at Texas A&M University, part of the College of Arts & Sciences. His research focuses on numerical analysis, nonlinear partial differential equations, and approximation theory, with a particular emphasis on invariant domain preserving schemes and hyperbolic conservation laws. He holds a Ph.D. from the University of South Carolina (1999) and an M.S. from the University of Sofia (1992). Popov has led or co-led numerous grants from agencies like NSF, DOD, and DOE, totaling over $30 million. He has advised four Ph.D. students and organized major conferences, including the 2007 'Approximation and Learning in High Dimensions' and the 2008 'Nonlinear Approximation Techniques Using L1'. His work bridges numerical methods with applications in fluid dynamics, materials science, and high-performance computing. Recent research includes invariant domain preserving techniques for hyperbolic systems, entropy viscosity methods, and robust finite element approximations. He teaches advanced courses such as Hyperbolic Conservation Laws (Math 638) and Linear Algebra (Math 304).

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