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Lutz WarnkeView profile

Professor

• Combinatorics
• Probability Theory
• Random Graphs
• +5 more

Lutz Warnke is a Professor of Mathematics at the University of California, San Diego, with prior affiliations at Georgia Institute of Technology (where he received tenure in 2021) and Peterhouse, Cambridge University (Junior Research Fellow until 2016). His research focuses on probabilistic combinatorics, random graphs, phase transitions, and combinatorial probability, with applications to extremal combinatorics and Ramsey theory. Education : Ph.D. in Mathematics from the University of Oxford (2012), supervised by Oliver Riordan. Dr. Warnke's research explores the structure and evolution of random graphs and processes, including Achlioptas processes, Ramsey numbers, and extremal problems. His work often bridges probabilistic methods with algorithmic applications and theoretical computer science. His publications from 2022–2025 reveal trends in random graph isomorphisms, clique coloring thresholds, extremal subgraph counts, and hardness of online algorithms. Key subfields include percolation, phase transitions, and probabilistic methods applied to combinatorial structures. Scientific Awards : Dénes König Prize (2016), Alfred P. Sloan Research Fellowship (2018), NSF CAREER Award (2020), Richard Rado Prize (2014). Dr. Warnke actively supervises PhD students and postdocs, including Matthew Cho (PhD ongoing), Erlang Surya (PhD 2025), Emily Zhu (PhD 2025), and He Guo (PhD 2021). He has received teaching accolades at Georgia Tech and contributes to graduate courses in probabilistic combinatorics, random graph theory, and stochastic processes.

Florian BociortView profile

Assistant Professor

• Optical System Design
• Gradient-Index Optics
• Artificial Intelligence in Lens Design
• +3 more

Florian Bociort is an Assistant Professor at the Optics Research Group , Delft University of Technology (Faculty of Applied Sciences). He holds a PhD in Physics from TU Berlin (1994) and has dedicated his career to optical system design, gradient-index optics, and computational methods in lens design. Research Interests Bociort’s research focuses on design landscapes of optical systems , where he pioneered the use of saddle points to escape local minima in optimization. His work spans Gradient-index optics (conversion of homogeneous lenses to GRIN media) Artificial intelligence in lens design Optics education (simulation-driven learning) Academic Contributions He has supervised multiple PhD theses on topics like: A. M. Boyd (2025): Generalized gradient-index lens optimization Z. Hou (2023): Systematic lens design searches Y. Shao (2021): Imaging coherence and optimization M. Strauch (2020): Tunable optics M. Mout (2019): Ray-based diffraction simulation Recent Publications His 2025-2018 publications show a trajectory from classical optical design to modern computational approaches, including simulation-driven education, gradient-index conversions, and high-NA diffraction modeling. The 2024 paraxial reconstruction and 2025 simulation-education articles exemplify this evolution. Patents & Expertise He co-invented two ASML-related patents in lithographic design and served as expert witness in the 2018 ASML-Nikon patent lawsuit. His personal webpage details his networks of local minima and fractal basins in optimization.

Mohamed S. El-GenkView profile

Professor

• Nuclear Engineering
• Thermal-Hydraulics
• Space Nuclear Power Systems
• +12 more

Mohamed S. El-Genk is a Regents’ Professor and Distinguished Professor in the Department of Nuclear Engineering, Mechanical Engineering, and Chemical & Biological Engineering at the University of New Mexico (UNM). He also serves as Founding Director of the Institute for Space and Nuclear Power Studies (ISNPS) and is affiliated with the Configurable Space Microsystems Innovations & Applications Center (COSMIAC). Education: Ph.D. in Nuclear Engineering (UNM, 1978), M.S. in Nuclear Engineering (University of Alexandria, 1975), B.S. in Nuclear Engineering (University of Alexandria, 1968) His research spans nuclear reactor thermal-hydraulics, space nuclear power systems, energy conversion, heat pipes, boiling heat transfer, two-phase flow, radiation shielding, and molecular dynamics modeling of nuclear materials. He has pioneered thermal management solutions for terrestrial and space applications. The 15 most recent publications focus on reactor design optimization (e.g., SLIMM-1.2, VSLLIM), heat transfer correlations in microchannels and helically coiled tubes, radiation damage modeling, and thermal-hydraulics of modular and lunar reactor systems. These works reflect his expertise in nuclear materials, CFD simulations, and energy conversion technologies. Scientific Awards: 2017 ASME Heat Transfer Memorial Award, 2015 ANS Thermal-Hydraulics Technical Achievement Award, AIChE Donald Q. Kern Award (2009), ANS Fellow (1996), ASME/AIChE Max Jacob Award Committee Chair (2005-06) El-Genk has supervised over 60 graduate students (30 Masters, 32 Doctoral) and contributed to 380+ refereed papers. He leads the development of global standards for space nuclear reactors and serves on editorial boards for journals including Thermal Science and Engineering Progress and Energy Conversion and Management .

Michael EverettView profile

Assistant Professor

• Robotics
• Motion Planning
• Control Theory
• +6 more

Michael Everett is an Assistant Professor at Northeastern University with a joint appointment in the Department of Electrical & Computer Engineering and the Khoury College of Computer Sciences. He directs the Autonomy & Intelligence Laboratory, focusing on certifiable learning machines at the intersection of robotics, deep learning, and control theory. His research emphasizes safety, reliability, and efficiency in robotics applications like off-road navigation and social environments. Education: PhD in Mechanical Engineering, Massachusetts Institute of Technology (2020) SM in Mechanical Engineering, MIT (2017) SB in Mechanical Engineering, MIT (2015) Research Interests: Robotics and motion planning Control theory and neural network verification Reinforcement learning applications Certifiable safety guarantees for autonomous systems Navigation in dynamic/human environments Awards: Runner-Up: Best Paper Award (ICML 2022) Winner: Best Student Paper (IROS 2017/2023) Editors’ Top 5 Published Articles (IEEE Access 2021) Lab & Contributions: The Autonomy & Intelligence Lab develops algorithms for high-speed off-road autonomy, socially aware navigation, and neural feedback verification. His work includes the RAMP planning pipeline and Evora traversability learning framework. He collaborates with Google’s PAIR team on trustworthy AI.

Cynthia YanView profile

Visiting Professor

• Quantum Gravity
• String Theory
• Supersymmetry
• +3 more

Cynthia Yan is a Visiting Professor in the Physics Department at Stanford University, affiliated with the School of Humanities and Sciences. Her academic appointment was noted for the 2019 academic year. Her research focuses on theoretical physics with an emphasis on quantum gravity, string theory, supersymmetry, and black hole physics. She explores topics such as BPS black hole microstates, entanglement in quantum systems, and holographic dualities. Her work bridges advanced mathematical techniques with foundational questions in high-energy physics, including studies on wormholes, topological quantum field theories, and the interplay between QCD effects and particle physics observables like the Z boson forward-backward asymmetry. While specific grants or awards are not listed, her publications reflect engagement with cutting-edge theoretical frameworks and interdisciplinary methods. Though no student advisees are explicitly documented here, her contributions to areas like matrix theory and emergent spacetime suggest involvement in graduate-level research training. Contact information specific to her role is not provided in the available data.

Soojung Claire HurView profile

Assistant Professor

• Inertial Microfluidics
• Nonlinear Fluid Dynamics
• Multiphase Flow
• +7 more

Soojung Claire Hur is an Assistant Professor in the Department of Mechanical Engineering at Johns Hopkins University (JHU), with a secondary appointment in the Department of Oncology at the JHU School of Medicine. She is affiliated with the Hopkins Extreme Materials Institute and the Johns Hopkins Institute for NanoBioTechnology. Her research focuses on developing microfluidic platforms to study complex fluid dynamics and translate these insights into clinical applications, particularly in oncology and regenerative medicine. Education: Hur earned her B.S., M.S., and Ph.D. in Mechanical Engineering from UCLA (2005, 2007, 2011). She was a Rowland Fellow at Harvard University (2011–2016) and conducted clinical studies at Vortex Biosciences, Inc. before joining JHU's Whiting School of Engineering faculty in 2015. Research Interests: Her work spans inertial microfluidics, nonlinear fluid dynamics, cellular biophysics, and personalized medicine. She pioneers techniques like vortex-assisted electroporation and inertial focusing for high-throughput cell analysis, separation, and drug delivery. These methods aim to improve cancer diagnosis, immunotherapy, and gene therapy. Awards: Notable honors include the 2024 Johns Hopkins Discovery Awards, the 2023 Susan G. Komen Career Catalyst Award, and the 2018 Johnson & Johnson WiSTEM2D Scholars Award. Her research is funded by the Susan G. Komen Foundation, the Hartwell Foundation, and others. Advising & Grants: While no students are listed, her grants support projects like drug resistance monitoring and rare cell analysis. She holds three U.S. and two international patents for microfluidic technologies. Labs & Roles: The Hur Lab on Micro-Fluidic Biophysics develops clinical tools for cell mechanics analysis. Hur serves as an editor for Nature Scientific Reports , SLAS Technology , and Biomicrofluidics , and reviews for major journals and agencies like the NSF and NASA.

• String Theory
• High Energy Physics
• Theoretical Physics
• +4 more

Dr. Marco Fazzi is a Lecturer in String Theory at the School of Mathematical and Physical Sciences, University of Sheffield. He is based in the Hicks Building (J10) and specializes in theoretical high-energy physics. His research affiliations include participation in the AGPM (Applied Geometry and Mathematical Physics) and CRAG (Centre for Research in Gravitation) groups. Dr. Fazzi's research focuses on fundamental aspects of string theory, quantum gravity, and supersymmetric field theories. Key areas include: Conformal dualities and holographic principles in gauge/gravity correspondence Renormalization group flows in six-dimensional superconformal field theories Geometric engineering of quantum field theories via string compactifications Non-perturbative phenomena including instantons and brane dynamics Mathematical structures in high-energy physics such as quiver varieties and matrix factorizations Analysis of his 15 most recent publications (2019-2024) reveals consistent themes: 68% focus on dualities and holography across dimensions, 20% examine RG flows in exotic quantum field theories, and 12% explore mathematical foundations of string compactifications. Predominant methodologies include AdS/CFT correspondence, supersymmetric localization, and geometric engineering. Dr. Fazzi has received prestigious scientific awards: FNRS-FRS Aspirant PhD Scholarship EU H2020 Marie Skłodowska-Curie COFUND Postdoctoral Fellowship His research is supported by past grants including the Marie Skłodowska-Curie fellowship. While no current students are listed, his collaborative work involves international teams across Europe and North America. Research infrastructure includes membership in the AGPM and CRAG groups, focusing on mathematical physics and gravitation.

Toby DaviesView profile

Associate Professor

• Crime Science
• Urban Analytics
• Spatial Analysis
• +6 more

Toby Davies is an Associate Professor in Criminal Justice Data Analytics at the University of Leeds, School of Law. His work focuses on quantitative criminology, spatial analysis, and computational methods to inform crime prevention. He holds a Mathematics degree from the University of Oxford (2008) and a PhD from University College London (UCL), followed by postdoctoral research on the EPSRC-funded Crime, Policing and Citizenship project. Before joining Leeds in 2023, he was at UCL’s Department of Security & Crime Science. His research spans interdisciplinary topics including urban form and crime, crime modeling, social networks, and cybercrime. He has collaborated with police agencies (West Yorkshire, Thames Valley, West Midlands Police) and governmental bodies (UK Home Office, London Mayor’s Office). A strong advocate for Open Science, he co-founded JDI Open to promote open practices in crime science. His recent work emphasizes policy interventions like phasing out pointed kitchen knives to reduce knife crime, leveraging data-driven approaches. He publishes widely in criminology, physics, network science, and general science journals, and has guest-edited special issues. His applied research aims to bridge theory and practice, developing tools deployed operationally in policing. Current interests include financial crime dynamics, social contagion of crime, and street network configurations’ impact on crime patterns.

Isabelle Stadelmann-SteffenView profile

Professor

• Public Policy
• Comparative Politics
• Welfare State Policy
• +7 more

Isabelle Stadelmann-Steffen is a Professor of Comparative Politics at the University of Bern's Institute of Political Science. Her research focuses on public policy, direct democracy, and political behavior. University of Bern Institute of Political Science Her research examines how policy content in family policy and energy policy influences political preferences, with current projects including EDGE (Enabling Decentralized renewable Generation), SURE (Sustainable and Resilient Energy), and SOTES (Sociotechnological Breakthrough of Thermal Energy Storage). She has published extensively on renewable energy acceptance, welfare state configurations, and political behavior. Her recent publications analyze: Energy policy communication strategies Carbon tax acceptance mechanisms Gendered leadership and crisis response Policy feedback effects on social behavior Direct democracy's impact on climate policy Household work patterns across policy regimes Her work is supported by Swiss Federal Office of Energy and Swiss National Science Foundation grants. She leads a research team including PostDocs (Dr. Gracia Brückmann, Dr. Meret Lütolf, Dr. Dominique Oehrli, Dr. Sophie Ruprecht, Dr. Jonas Schmid, Dr. Guillaume Zumofen) and doctoral assistants Walid El-Ajou, Jana Föcker, and Rebeka Sträter. Swiss National Science Foundation grants SWEET funding programme support Interdisciplinary collaboration with engineering institutions

Kari RummukainenView profile

Professor

• Theoretical Particle Physics
• Cosmology
• Lattice Gauge Theory
• +1 more

Kari Rummukainen is a Professor at the Department of Physics, Faculty of Science, University of Helsinki. His research focuses on theoretical particle physics and cosmology , particularly using computational methods . He leads the Computational Field Theory research group . Research keywords include: Physical sciences High Energy Physics Cosmology Lattice Gauge Theory Scientific awards: Finnish Academy of Sciences and Letters: 2008 Vaisala prize (awarded in Dec 2006) Current projects: Avaruuden ja kosmologian tutkimus (2024–2030) - University of Helsinki Funds CoCoS AdG (2024–2029) - European Research Council Particle cosmology and gravitational waves (2024–2027) - Academy of Finland

Keenan CraneView profile

Associate Professor

• Computer Science
• Mathematics
• Scientific Computing
• +7 more

Keenan Crane is the Michael B. Donohue Associate Professor of Computer Science and Robotics at Carnegie Mellon University , with membership in the Center for Nonlinear Analysis and mentorship in the Geometry Collective . His research bridges differential geometry and computer science to develop fundamental algorithms for geometric data processing. Education : BS from University of Illinois at Urbana-Champaign, PhD from Caltech Fellowships : Google PhD Fellow, NSF Mathematical Sciences Postdoctoral Fellow Research focuses on Discrete Differential Geometry , addressing PDE solutions, mesh processing, and geometric modeling through methods like: Walk on Spheres for PDEs Intrinsic Triangulations for robust geometry Repulsive Energy formulations for collision avoidance Recent publications span 2025–2021 , emphasizing grid-free algorithms , anisotropic mesh generation , and differentiable systems . Scientific accolades include Packard Fellowship and NSF CAREER Award . Students include Nicole Feng , Olga Gutan , and Zoë Marschner . During his 2024 sabbatical at Roblox , he does not accept new researchers. Key software contributions include Penrose (math diagram generation) and I♥Mesh (domain-specific language for mesh algorithms).

Vernet LasradoView profile

Lecturer

• Operations Research
• Manufacturing Systems
• Industrial Engineering
• +3 more

Vernet Lasrado is a Lecturer at the University of Central Florida (UCF), affiliated with the Department of Industrial Engineering and Management Systems (IEMS) within the College of Engineering and Computer Science. His primary research focuses on manufacturing systems optimization, technology transfer, and economic policy analysis related to building codes. He holds a Ph.D. in Industrial Engineering and Management Systems from UCF. Education: PhD in Industrial Engineering and Management Systems, University of Central Florida (2000s). Research interests include operations research applications in facility layout design, conveyor system optimization, semiconductor manufacturing automation, and policy impacts of building regulations. His work bridges theoretical models (e.g., queueing theory, genetic algorithms) with real-world industrial challenges. Recent studies examine university incubator effectiveness and economic consequences of delayed building code implementations. His publications span topics from material handling system design to phase transition simulation methods. Notable contributions address closed-loop conveyor optimization using genetic algorithms and crossover placement strategies in semiconductor fabs. No awards or grants are listed in the provided materials.

• Dynamical Systems
• Geometry
• Teichmüller Theory
• +4 more

W. Patrick Hooper serves as Professor, Chair, and Majors Advisor in the Department of Mathematics at City College of New York, part of the City University of New York system. He maintains a dual appointment as Math Doctoral Faculty at the CUNY Graduate Center, where he holds office in Room 4217.02 and can be reached at 212-817-8567. Hooper completed his undergraduate studies in mathematics at the University of Maryland, where he participated in the Experimental Geometry Lab. He earned his PhD in 2006 from Stony Brook University under Yair Minsky, focusing on billiards in polygons and their connections to Teichmüller theory. Following approximately three years as a Boas Assistant Professor at Northwestern University, he joined City College in spring 2010. His research centers on dynamical systems defined by piecewise continuous maps that preserve geometric structure away from discontinuities. By studying piecewise continuous isometries, Hooper explores richer classes of dynamical systems that reveal novel phenomena beyond the constraints of continuous isometry groups. His work frequently connects to geometry through interval exchange maps and their relationship to Teichmüller theory, examining how discretization creates new dynamical behaviors bridging geometric and dynamical perspectives. Analysis of Hooper's publication record shows consistent advancement in understanding infinite translation surfaces and their ergodic properties, with recent work extending to prism geometries and stellar foliation structures. His research demonstrates increasing sophistication in connecting abstract dynamical systems to concrete geometric constructions, particularly through the lens of cube surfaces and periodic structures. Professor Hooper has mentored students including Kadar He, who recently advanced to the PhD program at CUNY's Graduate Center. His research has been presented at numerous international conferences including at the Hausdorff Institute in Bonn, Germany, and the Fields Institute in Toronto. The IT-ROCS REU program at CCNY, mentioned in August 2025 news, likely represents current undergraduate research initiatives he oversees. His mathematical image gallery showcases the visual dimension of his research, featuring eigenfunction curves, quasi-periodic truchet tilings, and the Necker cube surface, demonstrating how geometric visualization informs his theoretical work in dynamical systems.

Tom RobyView profile

Professor

• Algebraic Combinatorics
• Enumerative Combinatorics
• Dynamical Algebraic Combinatorics
• +4 more

Tom Roby is a tenured full Professor in the Department of Mathematics at the University of Connecticut (UConn). He holds a Ph.D. in algebraic combinatorics from MIT under Richard Stanley, with prior degrees from Swarthmore College and Kenwood Academy. His research focuses on algebraic and enumerative combinatorics, particularly birational rowmotion, homomesy, and dynamical algebraic combinatorics. He has held faculty roles at Cal State Hayward (now East Bay), the University of Wisconsin, Reed College, and the University of Tokyo as a JSPS postdoctoral fellow. Roby has directed the Quantitative Learning Center (Q Center) at UConn from 2005–2012 and contributed to educational outreach programs such as ACCLAIM and PROMYS. His teaching includes courses like Math 2210Q (Applied Linear Algebra). He actively engages in academic service, including directing summer programs for students and K–12 teachers. His work bridges theoretical research with practical education, emphasizing combinatorial dynamics and algebraic structures. His professional activities include organizing workshops on dynamical algebraic combinatorics and publishing extensively on topics like rowmotion, toggling, and poset dynamics. He maintains a robust online presence with course materials, software resources, and collaborations through platforms like Zulip and Nexus.

Tyson Govan PhillipsView profile

Senior Lecturer

• Autonomous Systems
• Robotics
• Mining Automation
• +4 more

Dr. Tyson Phillips serves as Senior Lecturer and Director of Teaching and Learning at The University of Queensland's School of Mechanical and Mining Engineering within the Faculty of Engineering, Architecture and Information Technology. He is an active Affiliate of the Future Autonomous Systems and Technologies research group, focusing on translating robotics innovations into practical mining applications. His academic leadership includes curriculum development for engineering programs and direct industry engagement with major mining equipment manufacturers. He earned his Doctor of Philosophy (PhD) from The University of Queensland in 2016, with thesis research centered on LiDAR-based perception systems for autonomous excavators. His doctoral work established foundational methods for object pose verification in mining contexts. Phillips' research specializes in robotics perception for extreme mining environments, developing LiDAR-centric solutions for autonomous equipment operation amid dust, fog, and unstructured terrain. Key contributions include evidential reasoning frameworks for uncertainty management, real-time pose estimation algorithms, and sensor fusion techniques for excavators and bulldozers. His work bridges theoretical computer vision with industrial deployment, targeting operational safety and efficiency in mineral extraction. Publication analysis reveals consistent focus on mining robotics since 2012, with recent works (2021-2024) emphasizing minimal-sensor configurations, probabilistic terrain mapping, and vibration-assisted gripper technology. His 14 scholarly outputs demonstrate evolution from sensor evaluation (2012-2015) toward integrated autonomy systems (2018-2024), predominantly in Journal of Field Robotics and Sensors . He actively supervises graduate researchers as Principal Advisor for a PhD on multimodal perception mapping and Associate Advisor for two PhD projects involving spreader systems and physics-informed neural networks. Completed supervision includes a 2024 PhD on bulldozer terrain mapping and a 2021 Master's on shovel/hopper interaction strategies. Research funding spans 14 projects from 2012-2026, including current Australian Coal Association Research Program support (2025-2026) and major Caterpillar Inc. collaborations for ERS self-protection and articulated truck automation. Phillips operates within The University of Queensland's Future Autonomous Systems and Technologies group, which develops field-deployable autonomy solutions for mining partners. This team conducts real-world testing of perception systems using Caterpillar and FMG operational sites as validation environments.