Find Academic Supervisors

Kristofer ReyesView profile

Associate Professor

• Applied Mathematics
• Computational Chemistry
• Materials Science
• +6 more

Kristofer Reyes is an Associate Professor in the Department of Materials Design and Innovation at the University at Buffalo (School of Engineering and Applied Sciences). His research focuses on computational and statistical methods applied to materials science, particularly in developing machine learning frameworks for small-data regimes. He leads the Computational and Statistical Material Science (CSMS) Lab, which emphasizes Bayesian models, reinforcement learning, and fusion of physics-based knowledge. Education: PhD in Applied and Interdisciplinary Mathematics, University of Michigan, 2013 BS in Computer Science and Mathematics, Purdue University, 2004 Research Interests: Reyes' work bridges computation, mathematics, and materials science. Key areas include: - Autonomous experimentation systems (e.g., self-driving fluidic labs) - Bayesian optimization and decision-making under uncertainty - Machine learning for nanomaterials synthesis (e.g., perovskite nanocrystals) - Integration of physics-informed models in AI workflows - High-cost experimental design optimization Recent Achievements: SMARTDOPE paper awarded 'Best in Advanced 2023' Developed AlphaFlow for autonomous chemical synthesis Pioneered 'self-driving labs' for materials discovery Labs & Teams: CSMS Lab (134 Bell Hall) focuses on problem-fluent models for materials research. Current projects include quantum circuit optimization, bio-chemical pathway modeling, and sustainable nanomanufacturing. Collaborates with industry and national labs on AI-driven materials development.

Fuyuan ZhangView profile

Researcher

• Artificial Intelligence
• Cybersecurity
• Formal Methods
• +7 more

Fuyuan Zhang is a Postdoctoral Researcher at the Max Planck Institute for Software Systems, specializing in advanced software testing methodologies and formal verification techniques. His research focuses on improving the reliability and security of AI systems, quantum computing frameworks, and concurrent systems through innovative testing criteria, adversarial attacks, and compositional reasoning. Key areas of expertise include: Large Language Model (LLM) testing and validation Quantum program analysis and security Adversarial machine learning and neural network robustness Formal verification of concurrent and cyber-physical systems Automated bug detection in complex software systems His work bridges theoretical foundations with practical applications, addressing critical challenges in AI safety, quantum software reliability, and system-wide security certification.

Tom BanksView profile

Professor

• Quantum Gravity
• String Theory
• High Energy Physics
• +7 more

Tom Banks is a Professor of Physics at Rutgers University, affiliated with the Department of Physics and Astronomy. He is part of the High Energy Theory research group and a member of the National High Energy Theory Consortium (NHETC). His research focuses on quantum gravity, string theory, cosmology, and black hole physics, including the development of the Holographic Space Time (HST) framework. He has also shifted recent efforts to condensed matter physics, particularly density functional theory and quantum critical phenomena. Education: Ph.D. in Physics from MIT (1973). Awards include membership in the National Academy of Sciences and American Academy of Arts and Sciences. His work spans foundational theories like Matrix Theory, supersymmetry breaking mechanisms, and holographic principles applied to cosmological models. Current research includes studying remnants of black holes and their implications for dark matter, as well as combining weak and strong coupling expansions in lattice models. Advising and grants: No specific students listed, but collaborates widely on theoretical physics projects. His work on HST and Pyramid Schemes models has implications for particle physics at the TeV scale and beyond. Labs/Teams: Active within the NHETC and Rutgers High Energy Theory Group. Collaborations focus on quantum gravity, cosmology, and string theory applications.

Nicolas CerfView profile

Professor

• Quantum Information Science
• Quantum Cryptography
• Quantum Computation
• +3 more

Nicolas Cerf is a Full Professor at the Ecole Polytechnique de Bruxelles, Université Libre de Bruxelles (ULB), where he heads the Centre for Quantum Information and Communication (QuIC). He has been a faculty member at ULB since 1998, initially as an associate professor and promoted to full professor in 2009. Cerf maintains visiting appointments at Caltech, MIT, and the University of Arizona, demonstrating his international standing in the quantum information community. His educational background includes a M.Eng. in Electronics and Telecommunication (1987), M.Sc. in Physics (1988), and Ph.D. in Physics (1993), all from ULB. After his PhD, he was awarded a Marie Curie fellowship and worked at the University of Paris XI, followed by research faculty positions at Caltech before returning to ULB. Nicolas Cerf's research focuses on quantum information science, with significant contributions including the discovery of the role of negative (conditional) entropies in quantum information theory, development of continuous-variable quantum cloning and cryptographic protocols, invention of the adiabatic quantum search algorithm, and establishing the fundamental quantum limit on information transmission via Gaussian bosonic channels. His work spans quantum information theory, quantum cryptography, quantum computation, quantum optics, and quantum foundations. His recent publications (2023-2025) demonstrate continued innovation in quantum information processing, particularly in boson sampling validation, Wigner entropy theory, majorization applications, and quantum channel capacities. These works show a consistent focus on both theoretical foundations and practical applications of quantum information principles. Marie Curie Excellence Award (2006) Caltech President's Fund award (1997) Alcatel-Bell scientific prize (1999) Prize of the Wernaers fund awarded by the Belgian National Fund for Scientific Research (FNRS) (2000) Elected member of the Royal Academies for Science and the Arts of Belgium (2009) COVAQIAL project nominee for 2007 Descartes Prize Nicolas Cerf has supervised numerous PhD students including Sofyan Iblisdir, Jérémie Roland, Gilles Van Assche, and many others. He has hosted many postdocs and senior scientists. His research has been supported by numerous European projects across multiple Framework Programs, including EQUIP, CHIC, RESQ, SECOQC, COVAQIAL, QAP, COMPAS, HIPERCOM, QALGO, QUCHIP, ShoQC, and AppQInfo. As head of QuIC, Cerf leads a research team exploring cutting-edge topics in quantum information. The group maintains strong international collaborations and has been instrumental in establishing Belgium as a significant player in quantum information research. The team's work bridges theoretical developments with potential applications in quantum communication, quantum computing, and quantum cryptography.

Saim GhafoorView profile

Lecturer

• Terahertz Communications
• Intelligent Radio Communications
• Green Machine Learning
• +7 more

Saim Ghafoor is a Lecturer in the Department of Computing at Atlantic Technological University, Ireland. He holds a PhD in Engineering and Technology from University College Cork (2018), an MEng from Hanyang University (2010), and a BEng in Computer Systems Engineering from Mehran University (2005). His research focuses on advanced wireless communications, including Terahertz networks, green machine learning, and emergency communication systems. He is actively involved in the review process of top-tier journals and conferences. Education: PhD, University College Cork, 2018 MEng, Hanyang University, 2010 BEng, Mehran University, 2005 His work spans Terahertz communications , intelligent radio systems , and 5G/6G network protocols , with contributions to cybersecurity and automation. Notable outputs include a 2023 book on Green Machine Learning Protocols and a 2020 IEEE Communications Surveys review on Terahertz MAC protocols. He leads the WiSAR research group and serves as Associate Editor for Elsevier's Computers & Electrical Engineering . Grants & Labs: Active in the WiSAR (Wireless Sensor Applied Research Gateway) unit at ATU. Collaborates on projects involving THz networks and disaster response systems.

Diana FranklinView profile

Associate Professor

• Computer Science Education
• Quantum Computing Education
• Equity in STEM Education
• +3 more

Diana Franklin is an Associate Professor in the Department of Computer Science at the University of Chicago. She holds a Ph.D. from UC Davis (2002) and has held academic roles at California Polytechnic State University and UC Santa Barbara before joining UChicago in 2015. Her primary research focuses on computer science education and quantum computing education, emphasizing equity and inclusion for underrepresented groups. She leads the CANON Research Lab and co-leads the Q-12 Partnership, advancing K-12 quantum education. Franklin's educational background includes a transition from computer architecture to education research in 2008. Her work bridges theoretical and applied domains, developing curricula like Scratch Encore and quantum education tools such as Quander and Collapsing Qubits. She has authored influential publications and received prestigious awards, including the NSF CAREER Award and ACM Distinguished Membership. Her research interests span computational thinking education, quantum computing pedagogy, and diversity initiatives in STEM. She actively contributes to labs like EPiQC (NSF Expedition) and has published widely in venues like SIGCSE, ICER, and ACM Transactions. Her teaching includes courses on quantum computing and computer science education. Franklin's awards reflect her impact in both research and teaching, including honors for mentoring, paper awards, and recognition for educational outreach. She has advised numerous projects and grants, shaping policies and curricula to democratize access to computing education. Labs/Teams: CANON Research Lab (Director), EPiQC (Co-PI), Q-12 Partnership (Co-Lead). Past roles include Director of Computer Science Education at UChicago STEM Education (2015–2020).

Anne L'HuillierView profile

Professor

• Attosecond Science
• High-Order Harmonic Generation
• Ultrafast Dynamics
• +3 more

Professor Anne L'Huillier is a renowned French/Swedish physicist at Lund University, specializing in atomic physics and attosecond science. She holds the rank of Professor in the Department of Atomic Physics within the Faculty of Engineering (LTH). Her research focuses on ultrafast phenomena, particularly high-order harmonic generation and attosecond light pulses for studying electron dynamics. She leads projects like QU-ATTO and New Trends in Attosecond Science, funded by the EU and Swedish Research Councils. Education: Earned her PhD in 1986 from Université Pierre et Marie Curie (Paris) and CEA. Postdoctoral roles at Chalmers Institute of Technology (1986) and University of Southern California (1988). Became Associate Professor at Lund University in 1995 and Full Professor in 1997. Research Interests: Experimental and theoretical studies of attosecond pulses, laser-atom interactions, and ultrafast electron dynamics. Her work enables insights into quantum processes at the atomic scale. Collaborations span global institutions, advancing applications in condensed matter physics and quantum information science. Key Contributions: Pioneered methods to generate attosecond pulses, recognized by the 2023 Nobel Prize in Physics. Her team's innovations include optimizing attosecond source development and applying these pulses to study electron motion in matter. Awards: Nobel Prize in Physics (2023), Wolf Prize in Physics (2022), and multiple grants including Horizon Europe and Wallenberg Foundation funding. Active in conferences and mentoring, with 34 supervised works and 352 research outputs. Labs/Teams: Principal Investigator at NanoLund, a nanoscience center, and member of strategic initiatives like Light & Materials and Photon Science and Technology profile areas.

• Systems
• Concurrency
• Memory Management
• +5 more

Christoph Kirsch is a Professor and Chair of the Department of Computer Science at the University of Salzburg. He also serves as Chair of the Programming Research Laboratory at the Faculty of Information Technology, CTU Prague. His research focuses on systems, concurrency, memory management, and formal methods, with notable contributions including the Selfie educational software project and work on symbolic execution. He is a prolific author with over 50 publications in top venues like LCTES and EMSOFT. Education: Ph.D. in Computer Science (details not specified). His teaching includes courses on elementary computer science concepts and curricula development. He advises students such as Anna Bolotina and has graduated over a dozen PhD students. Research highlights include the Selfie system (self-referential C compiler and emulator), work on concurrency primitives like Scal and Timestamped Stack, and contributions to real-time systems (Logical Execution Time, Variable-Bandwidth Servers). His recent focus includes teaching digital thinking and evaluating eval in R programs. He has organized conferences like MPLR’24 and served on program committees for EuroSys and RTNS. His book Elementary Computer Science emphasizes foundational concepts for broad audiences.

• Human-Computer Interaction
• Machine Learning
• Natural Language Processing
• +1 more

Sarah Frances Homewood is an Assistant Professor (Tenure Track) in the Department of Computer Science at the University of Copenhagen, affiliated with the Human-Centred Computing research section. Her research focuses on the intersection of human-computer interaction and artificial intelligence, with applications in healthcare, natural language processing, and interpretable machine learning. Her diverse research interests span Human-Computer Interaction, Machine Learning, Natural Language Processing, and Artificial Intelligence. Recent investigations include interpretability of large language models, clinical NLP applications, fairness in recommender systems, and quantum natural language processing. Analysis of her recent publications reveals strong emphasis on NLP interpretability techniques, healthcare applications of AI, and theoretical foundations of machine learning. Her work frequently bridges fundamental computer science with practical applications in medicine and human-centered systems. Emerging research directions include quantum NLP and protein sequence modeling. Dr. Homewood's research contributes to the Machine Learning Section's focus on both theoretical foundations and applied domains including medical data analysis and information retrieval.

• Cryptology
• Post-Quantum Cryptography
• Embedded Security
• +3 more

Ruben Niederhagen is an Associate Professor at the Department of Mathematics and Computer Science, University of Southern Denmark. His roles include affiliation with the Digital Democracy Centre and the VIP group in Artificial Intelligence, Cybersecurity, and Programming Languages. He holds external positions as Assistant Research Fellow at Academia Sinica (since 2022) and previously led the 'Advanced Cryptographic Engineering' and 'Post-Quantum Cryptography' departments at Fraunhofer SIT (2016–2020). He earned his PhD in Mathematics and Computer Science from Eindhoven University of Technology (2010–2012). His research focuses on cryptology, post-quantum cryptography, and embedded security. Key areas include quantum-resistant algorithms, cryptographic protocols, and hardware security implementations. His work addresses challenges like signature scheme optimization, electric vehicle cybersecurity, and quotable signature systems for data authenticity. Niederhagen has been featured in multiple media outlets discussing post-quantum cryptography’s role in future security. He teaches courses such as Cryptographic Engineering (DM886) and Networks and Cybersecurity (DM572). His research outputs span 33 publications, including book chapters and peer-reviewed conference papers, with a focus on practical implementations and theoretical advancements in cryptographic systems.

Xufeng ZhangView profile

Assistant Professor

• Spin Wave Dynamics
• Magnon-Based Information Processing
• Quantum Hybrid Magnonics
• +4 more

Dr. Xufeng Zhang is an Assistant Professor of Electrical and Computer Engineering at Northeastern University, affiliated with the Cross-College Magnetics Center. He holds a PhD from Yale University (2016) and previously served as a postdoctoral fellow and scientist at Argonne National Laboratory. His research focuses on spin wave dynamics, magnon-based information processing, quantum hybrid systems, and integrated devices at the intersection of magnonics, photonics, and mechanics. Education: PhD in Electrical Engineering, Yale University, 2016 Research Interests: Experimental study of spin wave dynamics and magnonic devices Coherent and quantum information processing using magnonics Integrated microwave, photonic, magnonic, and mechanical systems Key Projects: Co-PI for NSF-funded SHIELD project ($500K) enhancing wireless radios via magnon-phonon coupling PI for ONR-funded THz system-on-a-chip project ($420K) improving cryogenic THz systems Awards: ONR Young Investigator Program Award (2022) Labs & Teams: He leads the XLab, focusing on hybrid magnonic systems. His work bridges quantum engineering, nanotechnology, and materials science to advance next-generation information processing and sensing technologies.

Laszlo ErdosView profile

Professor

• Mathematical Physics
• Random Matrix Theory
• Spectral Analysis
• +5 more

László Erdős is a Professor of Mathematics at the Institute of Science and Technology Austria (IST Austria) since 2013. He previously held positions as C4/W3 Professor at LMU Munich (2003-2013), Associate Professor and Assistant Professor at Georgia Institute of Technology, and was a Member at the Institute for Advanced Study in Princeton (2013-2014). He is an elected Corresponding Member of the Austrian Academy of Sciences (2015). Erdős earned his Diploma in Mathematics from Lorand Eotvos University, Budapest (1990), followed by a PhD in Mathematics from Princeton University (1994) under advisor Elliott H. Lieb. He completed his Habilitation at the University of Vienna (2001). His research focuses on Mathematical Physics, particularly in the areas of Random Matrix Theory, Spectral Analysis of Quantum Systems, and Many-Body Quantum Dynamics. Erdős has made significant contributions to understanding universality in random matrices, quantum dynamics of Bose-Einstein condensates, and spectral properties of disordered quantum systems. His work bridges rigorous mathematical analysis with fundamental questions in theoretical physics. Analysis of Erdős's recent publications reveals a strong focus on spectral statistics of random matrices and their applications to quantum physics. His research demonstrates how universal patterns emerge in complex quantum systems, connecting stochastic processes with spectral theory. The work spans from foundational mathematical results to applications in condensed matter physics and quantum information. His scientific achievements have been recognized with numerous honors including: ERC Advanced Grant (2013) ICM Invited Speaker (2014) SPA Plenary Speaker (2014) QMATH 12 Plenary talk (2013) Aisenstadt Chair, Montreal (2012) ICMP Plenary speaker (2009) ECM Invited Speaker (2008) ICMP Invited Speaker (2000) Elected Corresponding Member of Austrian Academy of Sciences (2015) Geza Grunwald Prize (1995) Annales Henri Poincare Distinguished Paper Award (twice) Erdős has secured significant research funding throughout his career, including an ERC Advanced Grant (2014-2019) worth 1.755M Euro, multiple NSF grants, and participation in major collaborative projects like the Elite Graduate Program TMP and SFB TR12 "Symmetries and Universality." His research group at IST Austria continues to advance the mathematical understanding of quantum systems and random matrices.

Di FangView profile

Assistant Professor

• Quantum Computing
• Numerical Analysis
• Hamiltonian Simulation
• +4 more

Di Fang is an Assistant Professor of Mathematics at Duke University's Trinity College of Arts & Sciences, with a secondary affiliation to the Duke Quantum Center. He earned his Ph.D. from the University of Wisconsin-Madison in 2019 and previously held positions as a Morrey Visiting Assistant Professor at UC Berkeley and Simons Quantum Postdoctoral Fellow at the Simons Institute. Research Focus: His mathematical expertise lies in numerical analysis of partial differential equations with current emphasis on: Quantum computing theory and algorithm development Classical and quantum approaches to quantum system simulation Hamiltonian simulation involving unbounded operators Time-dependent oscillatory dynamics and superconvergence phenomena Error analysis for quantum-classical molecular dynamics Publication Trends: Recent works demonstrate strong focus on advancing quantum simulation techniques, particularly through improved error bounds for quantum algorithms, time-marching methods for differential equations, and applications to open quantum systems. Theoretical developments frequently appear in top mathematical physics journals. Grants & Funding: NSF CAREER Award DMS-2438074 (PI, 2025-2030) DOE QUACQ Project (co-PI, 2024-2029) NSF Conference Grant for QIP 2025 Research Leadership: Directs a group including PhD students and postdocs, with active recruitment through Duke's Computational Mathematics program. Current research collaborations span institutions including Caltech, Microsoft Quantum, and University of Maryland.

Leah HendersonView profile

Professor

• Philosophy of Science
• Epistemology
• Scientific Realism
• +4 more

Leah Henderson is a Professor in the Department of Theoretical Philosophy at the University of Groningen. She holds the endowed chair on 'Societal Trust' from the Royal Holland Society of Sciences and Humanities (KHMW) and the Agricola School. Previously, she was a Rosalind Franklin Fellow since 2015. Her expertise spans philosophy of science, epistemology, and the philosophy of quantum theory. She earned a PhD in Philosophy from MIT and a DPhil in theoretical physics from the University of Oxford, with postdoctoral work in quantum information theory. Her research focuses on scientific realism, anti-realism, inference to the best explanation, and the problem of induction. She also explores societal trust dynamics and belief polarization in scientific contexts. Henderson has contributed to debates on higher-order evidence, meta-induction, and conjunctive explanations. Her work bridges philosophy with cognitive science and social epistemology. Awards: Rosalind Franklin Fellow (2015–present). Grants & Labs: Endowed chair in Societal Trust (KHMW/Agricola School), leading interdisciplinary research on societal cohesion and public trust in science. Active in media engagement, including discussions on climate skepticism and science education.

Gustav DeliusView profile

Senior Lecturer

• Marine Ecosystems
• Fisheries Policy
• Quantum Field Theory
• +6 more

Gustav Delius is a Senior Lecturer in the Department of Mathematics at the University of York. His research focuses on transferring methods from Quantum Field Theory, String Theory, and Integrable Systems to theoretical ecology and mathematical biology. He leads the York node of the MINOUW consortium, addressing unwanted catches in European fisheries, and develops size-spectrum models for marine ecosystems to inform fisheries policy. Dr. Delius holds a PhD from Stony Brook University. His work spans stochastic processes, complex networks, and ecological modeling. He has led projects such as the NERC-funded 'Pyramids of Life' initiative and the EPSRC IAA grant for sustainable fisheries policy. His research integrates mathematical rigor with real-world applications in marine ecology and conservation. Recent collaborations include interdisciplinary work on climate change impacts on coastal ecosystems and Bayesian inference for pandemic modeling. He has supervised research projects and contributed to initiatives like the MINOUW consortium, emphasizing practical policy implications of his findings.