جستجوی استاد راهنمای دانشگاهی

Manuel Crespo-Ballesteros is a Research Fellow at the Aston Institute of Photonic Technologies (AiPT) within the College of Engineering and Physical Sciences at Aston University. He holds a BEng in Electronics and Automation Engineering from the Technical University of Cartagena (2007), an MSc in Theoretical Physics from the University of Murcia (2012), and a PhD in Radar Systems from the University of Birmingham (2016). His research focuses on Surface Nanoscale Axial Photonics (SNAP) technology, particularly microresonators, nonlinear optics, and optical frequency combs. He has contributed to advancements in microresonator fabrication, resonant tunneling phenomena, light-by-light transportation, and parametrically modulated frequency combs. His work bridges quantum mechanics and photonics, with applications in sensing, communications, and optical computing. Education: BEng in Electronics and Automation Engineering, Technical University of Cartagena, Spain (2007) MSc in Theoretical Physics, University of Murcia, Spain (2012) PhD in Radar Systems, University of Birmingham, UK (2016) Research Interests: Crespo-Ballesteros investigates microresonators created via SNAP technology, emphasizing their picometer precision and quantum-mechanical analogies. Key areas include resonant tunneling, nonlinear soliton-based light transport, and parametric frequency comb generation. His work explores applications ranging from high-speed communications to quantum physics simulations, such as black hole analogues using time-dependent potentials. Grants and Labs: Active in AiPT’s advanced photonics research, his lab develops cutting-edge SNAP microresonators with applications in precision spectroscopy and sensing. Collaborations include projects on fiber-optic bending-induced tunability and soliton-based transportation systems.

• Photonics
• Microresonators
• Nonlinear Optics
• +۳ مورد دیگر

Angela Kelly is a Professor of Physics and Science Education at Stony Brook University and serves as Associate Director of the Institute for STEM Education. She leads the MAT Physics Program, which ranks among the top U.S. producers of physics teachers. Dr. Kelly holds a Ph.D. in Science Education from Teachers College, Columbia University (2006), and has received awards including the SUNY Chancellor’s Excellence in Teaching Award (2015-2016). Her research focuses on equity in STEM education, quantum information science (QIST) outreach, and reformed teaching practices. Current NSF-funded projects include QuEST (Quantum Education for Students and Teachers) and the International Year of Quantum (IYQ) Conferences, advancing QIST education for underserved populations. She also investigates online laboratory learning efficacy, particularly following the pandemic's shift to remote instruction. Dr. Kelly’s work bridges university and K-12 education, collaborating with institutions like Brookhaven National Laboratory. Her initiatives, such as the MAT Physics Program’s PhysTEC 5+ Award (2023), highlight her commitment to teacher preparation. Research outcomes include over 200 high school students and 70 teachers engaged in QIST outreach programs. Grants total $2M, emphasizing equity in STEM access and diversifying the QIST workforce. Education : Ph.D. in Science Education, Teachers College, Columbia University (2006) Grants : NSF DRL 2148467 (QuEST), NSF DRL-2414742 (IYQ Conferences), NSF DUE-2142587 (Online Labs) Awards : SUNY Chancellor’s Award (2015-16), Provost’s Faculty Recognition Award (2010) Her research explores sociocognitive influences on STEM participation and addresses systemic barriers through innovative programs. The IYQ Conferences (2025) aim to replicate QIST education models nationwide.

• Equity in STEM Education
• Quantum Information Science and Technology (QIST) Education
• Reformed Teaching Practices in Undergraduate Science
• +۳ مورد دیگر

Aydin Aysu is an Associate Professor at the Department of Electrical and Computer Engineering, College of Engineering, North Carolina State University. His research focuses on hardware-based security , applied cryptography , and computer architecture , with an emphasis on secure systems to counter advanced cyber threats. Ph.D. in Computer Engineering, Virginia Tech (2016) M.S. in Electrical Engineering, Sabanci University, Turkey (2010) B.S. in Microelectronics Engineering, Sabanci University, Turkey (2008) Aysu’s work addresses hardware vulnerabilities through secure design automation, side-channel attack mitigation, and next-generation cryptographic systems. His research extends to AI/ML security , FPGA security , and quantum-resistant cryptography . Notable scientific awards include: NSF CAREER Award (2020) University Faculty Scholars (2024) Bennett Faculty Fellow Award (2020) Best Paper Awards at DATE Conference (2020), ACM GLSVLSI (2019), and others Aysu leads the Hardware Cybersecurity Research Lab (HECTOR) , focusing on pre-silicon security analysis, secure accelerator sharing, and societal impacts of cybersecurity. He actively mentors Ph.D. students and collaborates on funded research projects like the SATC: CORE: SMALL grant.

• Cybersecurity
• Hardware-Based Security
• Applied Cryptography
• +۷ مورد دیگر

Dr. Robert Green is an Associate Professor in the Department of Physics & Engineering Physics at the University of Saskatchewan. His research specializes in condensed matter physics with focus on quantum materials, strongly correlated electron systems, and synchrotron spectroscopy techniques. The Green group investigates electronic properties of novel materials including oxide superlattices, magnetic van der Waals materials, and correlated transition metal compounds. Current research examines charge transfer mechanisms in oxide heterostructures, spin crossover phenomena in Mott insulators, and layer-dependent magnetic properties in 2D materials. Dr. Green utilizes advanced synchrotron spectroscopy and scattering techniques to probe electronic and magnetic structures. Recent publications focus on interfacial charge transfer, computational tools for quantum many-body systems, and global optimization of X-ray reflectometry. Research outputs appear in condensed matter physics and materials science journals, with emphasis on quantum materials design, electronic structure characterization, and novel magnetic phenomena. The group maintains active collaborations with synchrotron facilities for materials characterization.

• Condensed Matter Physics
• Quantum Materials
• Strongly Correlated Electron Systems
• +۲ مورد دیگر

YEO Ye is a Senior Lecturer at the National University of Singapore (NUS) and serves as Assistant Dean (Student Life and Alumni Relations). She holds a PhD from the University of Cambridge, UK (2004). Her educational background: PhD, University of Cambridge, UK (2004) Dr. YEO's research focuses on quantum entanglement in multiparticle systems, investigating fundamental aspects of multipartite entanglement and its applications in quantum information processing. Her work addresses the incomplete theoretical understanding of entanglement as a critical resource for quantum technologies. Her publications (2005-2006) demonstrate concentrated research on multipartite entanglement across diverse contexts including decoherence effects, quantum teleportation protocols, dense coding implementations, and thermal entanglement in spin chain systems. These studies collectively advance theoretical frameworks for maintaining and utilizing entanglement in quantum communication and computation.

• Quantum Information Science
• Quantum Entanglement
• Theoretical Physics

Dr. Sungyong Ahn is a Lecturer in Digital Media and Cultures at the School of Communication and Arts, University of Queensland, and an affiliate of the Centre for Digital Cultures & Societies. His research focuses on digital ontology, new materialism, and speculative (capitalist) realism, examining how smart technologies reshape human perception and governance. He holds a PhD in Media Studies from the University of Illinois at Urbana-Champaign. Education: Bachelor of Philosophy (Yonsei University), Master of Film and Television (Chung-Ang University), PhD in Media Studies (UIUC). His research investigates the interplay between technology, capitalism, and cultural production, particularly through the lens of the Internet of Things (IoT), quantum physics as cultural imagination, and French philosophy (Foucault, Deleuze, Badiou). Recent work includes analyzing IoT’s role in self-governance and the ontological anxieties of digital existence. Publications span journals like Media Theory , Journal of Cultural Economy , and Postmodern Culture . He is the author of Internet-ontologies-Things: Smart Objects, Hidden Problems, and Their Symmetries (2023). Available for supervision in media studies, digital cultures, and science/technology studies. Active in interdisciplinary collaborations, including the Centre for Digital Cultures & Societies.

• Digital Ontology
• New Materialism
• Speculative Capitalist Realism
• +۸ مورد دیگر

Peter Miller is a Professor in the Department of Mathematics at the University of Michigan, Ann Arbor. He holds a Ph.D. in Applied Mathematics from the University of Arizona (1994) and has held academic positions at institutions such as Monash University (Australia) and SAMSI (USA). His research focuses on applied analysis, integrable systems, nonlinear waves, and asymptotic methods. Key areas include the study of Painlevé equations, dispersive shock waves, and Riemann-Hilbert problems. Miller has led the Applied and Interdisciplinary Mathematics graduate program and is an active mentor, overseeing numerous Ph.D. students and postdoctoral researchers. Education: Ph.D., University of Arizona (1994); M.S., University of Arizona (1991); B.S. (Summa Cum Laude), Southern Methodist University (Mathematical Sciences and Computer Science, 1989). Research interests span asymptotics of nonlinear waves, random matrix theory, and special functions. His work emphasizes multiscale phenomena and modulation theory in integrable systems. Notable contributions include studies on the semiclassical limit of the nonlinear Schrödinger equation and universality in dispersive hydrodynamics. Awards include NSF grants (2022, 2018, 2015), a Simons Fellowship (2013), and a Sloan Fellowship (2002). He has delivered plenary lectures at international conferences and authored the textbook Applied Asymptotic Analysis (AMS, 2006). Teaching responsibilities include graduate courses in applied analysis, integrable systems, and partial differential equations. He has coordinated large undergraduate programs and mentored over 30 students and postdocs. Miller serves on editorial boards for journals like Journal of Nonlinear Science and organizes conferences on dispersive equations and inverse scattering.

• Applied Mathematics
• Nonlinear Waves
• Integrable Systems
• +۵ مورد دیگر

Dr Joseph Lee is a Reader in Corporate and Financial Law at the University of Manchester School of Law . Previously, he served as Senior Lecturer at the University of Exeter and Assistant Professor at the University of Nottingham. He directs the Manchester Online LLM in International Commercial and Technology Law and authored key publications including Crypto-Finance, Law and Regulation (2021) and Web3 Governance: Law and Policy (2025). Principal Investigator for UKRI/British Academy-funded projects Holds visiting positions at Bocconi University, KU Leuven, and National Taiwan University Acting Arbitrator in crypto-assets and fintech disputes His research focuses on commercial law intersecting with emerging technologies, including blockchain governance, AI systems in finance, and cybersecurity regulation. Recent work explores decentralized finance (DeFi), token transferability, and Web3 policy frameworks. Dr Lee contributes to the UN Sustainable Development Goals through digital trust initiatives. His projects include the AI Law and Policy: UK, US and EU Comparative Study (2023-2024), and he convenes the Digital Technology, Crime and the Law Conference 2025 .

• Commercial Law
• Financial Law
• Blockchain Technology
• +۵ مورد دیگر

Frank Stajano is a Full Professor of Security and Privacy at the University of Cambridge, leading the Academic Centre of Excellence in Cyber Security Research. He is a Fellow of Trinity College, where he collaborates with Nobel laureates. His research focuses on security, privacy, and usability in ubiquitous computing, IoT, and digital finance. He holds a PhD from Cambridge and a Laurea in Electronic Engineering from La Sapienza University. Frank's work includes the Pico project (ERC-funded), aiming to replace passwords with secure, usable alternatives. He co-founded Cambridge Cyber, offering cybersecurity consulting. Notable achievements include the Resurrecting Duckling authentication protocol and contributions to location privacy (Mix Zones). He has authored over 50 refereed publications and a research monograph on ubiquitous computing security. His awards include the Toshiba Fellowship (2000) and an ERC Starting Grant (2017). Frank teaches cybersecurity and lectures globally via his YouTube channel. Beyond academia, he is a 5th-dan kendo practitioner and a scholar of Disney comics.

• Security
• Privacy
• Cybersecurity
• +۴ مورد دیگر

Annie Antón is a Professor in the School of Interactive Computing at Georgia Institute of Technology. Former Chair of her school, she specializes in privacy, security, software engineering, and public policy. Dr. Antón advises national defense and intelligence entities, including roles in the IDA/DARPA Defense Science Study Group (2005-2006) and the Obama-appointed 2016 Commission on Enhancing Cybersecurity for the Nation. She serves on numerous boards, including NIST Information Security & Privacy Advisory Board, Future of Privacy Forum, and former roles in U.S. DHS Data Privacy Committee and NSF Advisory Council. Her research focuses on aligning software systems with federal privacy/security regulations, emphasizing legal compliance, secure development practices, and IoT privacy challenges. Notable projects include UCON_LEGAL for HIPAA compliance and frameworks for analyzing regulatory requirements. She has contributed to policy implementations via empirical studies on user privacy perceptions and legal text mining. Dr. Antón's work bridges technical and policy domains, addressing ethical AI education, cross-border data governance, and cybersecurity preparedness. Her leadership spans academia, government, and industry through advisory roles at Intel, Microsoft Research, and the Georgia Tech Alumni Board.

• Privacy
• Cybersecurity
• Software Engineering
• +۴ مورد دیگر

Prof. Benno Liebchen holds a faculty position at the Technische Universität Darmstadt within the Institute for Condensed Matter Physics , part of the Faculty of Physics. He leads the Liebchen Group , dedicated to advancing research in the Theory of Soft Matter , focusing on active matter, colloidal systems, and non-equilibrium phenomena. His work explores collective behavior in self-propelled particles, phase transitions in active fluids, and adaptive strategies in smart materials. Research Interests include: Active matter dynamics and pattern formation Non-equilibrium statistical mechanics Biophysical systems and biomimetic design Computational modeling of soft matter Recent publications highlight breakthroughs in intelligent active particles , self-reverting vortices , and motility-induced phase coexistence . His lab develops tools like the AMEP Python package to analyze active systems. Teaching responsibilities include advanced modules in soft matter physics. Collaborative projects involve interdisciplinary approaches to microswimmer behavior and machine learning-driven optimization of collective systems. Contact: +49 6151 16-24509 / Office: S2|04 104

• Soft Matter Physics
• Active Matter
• Colloidal Systems
• +۳ مورد دیگر

Kieron Burke is a Distinguished Professor in the Department of Chemistry and Department of Physics at the University of California, Irvine (UCI), where he also leads the Burke research group. His academic contributions focus on advancing density functional theory (DFT), a cornerstone of computational quantum mechanics. He collaborates with institutions like Google Accelerated Science and DeepMind to integrate machine learning into DFT, enhancing its predictive power for materials and chemical systems. His research spans theoretical and computational physical chemistry, materials science, and quantum mechanics. Notable achievements include pioneering density-corrected DFT and exploring DFT applications in extreme conditions like planetary interiors and fusion reactors. Prof. Burke's work is internationally recognized, with over 25,000 annual citations, and he holds prestigious fellowships from the American Physical Society and British Royal Society of Chemistry. Prof. Burke's educational initiatives include teaching a popular graduate course on machine learning for scientists and advocating for interdisciplinary training. His research group includes students from chemistry, physics, math, computer science, and engineering, reflecting his belief in cross-disciplinary approaches to scientific challenges. Awards: Fellow of the American Physical Society, British Royal Society of Chemistry, AAAS; Member of International Academy of Quantum Molecular Sciences Labs/Teams: Burke Research Group, focusing on DFT development and machine learning applications

• Density Functional Theory (DFT)
• Quantum Mechanics
• Materials Science
• +۳ مورد دیگر

David Danks is a Professor of Data Science, Philosophy, and Policy at the University of California, San Diego. His work bridges AI ethics, causal inference, and policy, focusing on governance frameworks for emerging technologies. He leads research on trustworthy AI systems, healthcare technology applications, and sociotechnical risks. Danks is affiliated with the DIVER Lab, exploring interdisciplinary approaches to AI's societal impact. His research spans causal discovery algorithms, ethical AI design, and the intersection of science and policy. Notable themes include mitigating bias in quantum machine learning, dynamic certification for autonomous systems, and addressing unforeseen technological harms. He has contributed to national AI policy through roles like the National Artificial Intelligence Advisory Committee. Publications emphasize ethical challenges in AI development, such as algorithmic fairness, epistemic utility, and moral responsibilities in dual-use technologies. His work frequently intersects with healthcare innovation, including personalized hemodynamic models for surgical risk reduction. While no formal awards or grants are listed, Danks' involvement in high-profile initiatives like the CCC Whitepaper on pandemic prevention underscores his leadership in translational ethics and policy.

• AI Ethics
• Causal Inference
• Healthcare Technology
• +۴ مورد دیگر

Jonathan Weare is a Professor of Mathematics at the Courant Institute of Mathematical Sciences, New York University. He holds affiliations with the Faculty of Arts and Science and the Graduate School of Arts and Science. His academic journey includes roles as an Associate Professor at the University of Chicago (2014–2019) and Assistant Professor (2011–2014), following postdoctoral work as a Courant Instructor at NYU. He earned his Ph.D. in Mathematics from UC Berkeley in 2007. His research focuses on stochastic algorithms and models, with applications in astrophysics, biophysics, computational chemistry, and climate science. Key areas include Monte Carlo methods, rare event simulation, and machine learning-driven scientific analysis. Collaborations with domain experts ensure his work addresses real-world challenges in diverse fields. Recent publications emphasize advancements in trajectory stratification, rare event prediction using machine learning, and efficient algorithms for high-dimensional problems. Notable contributions include the BAD-NEUS framework and AI-based solar system instability predictions. His group’s interdisciplinary approach bridges computational methods with scientific inquiry. Weare has advised numerous students and mentored postdocs, fostering talent in applied mathematics and computational science. His work on Mercury’s orbital dynamics and extreme weather prediction showcases the societal impact of his research. Current projects explore AI applications in weather modeling and rare event analysis, leveraging cutting-edge machine learning techniques. Labs/Teams: His research group at Courant develops stochastic algorithms and collaborates with interdisciplinary teams in computational chemistry, climate science, and astrophysics. Key collaborations include the University of Chicago and Columbia University.

• Monte Carlo sampling
• Multiscale analysis
• Randomized numerical linear algebra
• +۲ مورد دیگر

Dr. Richard Jiang is a Senior Lecturer (Associate Professor) at Lancaster University's School of Computing and Communications. His research focuses on Artificial Intelligence, Neurocomputing, Quantum AI, Privacy Computing, and Medical Computing. He has pioneered secure pattern recognition in encrypted domains and quantum neuromorphic computing. With over £1M in research grants from EPSRC and others, he has authored 100+ publications and supervised over 20 PhD students. Dr. Jiang's work includes the Face2Brain method for neurodegenerative assessment and explainable models for brain aging analysis. He contributes actively to academic committees, editorial boards, and conferences like the World Conference on eXplainable AI. His research spans ethical AI frameworks, quantum algorithms for medical imaging, and privacy-preserving biometric systems.

• Artificial Intelligence
• Neurocomputing
• Quantum AI
• +۵ مورد دیگر