Find Academic Supervisors

• Fluid Dynamics
• Experimental Fluid Mechanics
• Computational Fluid Dynamics
• +6 more

Zhao Pan is an Assistant Professor in the Department of Mechanical & Mechatronics Engineering at the University of Waterloo. He is cross-appointed into the Department of Electrical and Computer Engineering (ECE). His research focuses on fluid dynamics, experimental methods in fluid mechanics, and computational techniques for pressure field reconstruction. Key areas of expertise include cavitation phenomena, water entry dynamics, and the application of advanced imaging technologies such as particle image velocimetry (PIV). He has developed innovative solutions for reducing splash in urinal designs and explores fluid dynamics in biological systems. Dr. Pan's research interests span a range of fluid dynamics topics, including the development of novel pressure reconstruction methods using Helmholtz-Hodge decomposition and time-resolved velocimetry. He investigates cavitation bubble dynamics, fluid-structure interactions, and high-speed fluid phenomena. His work integrates experimental approaches with computational modeling, addressing challenges in both engineering applications (e.g., sustainable urinal design) and fundamental fluid mechanics. Recent studies include the analysis of error propagation in pressure field calculations and the optimization of boundary conditions for PIV-based reconstructions. No scientific awards have been listed for Dr. Pan in the provided information. No advising or grant information is available in the provided data. Dr. Pan collaborates across disciplines through his cross-appointment in ECE and engages in interdisciplinary research projects at the University of Waterloo.

• Molecular Dynamics
• Computational Fluid Dynamics
• Metastable Systems
• +3 more

Tony LELIEVRE is a Professor at Ecole des Ponts ParisTech, part of the Institut Polytechnique de Paris. He is a member of the CERMICS research center and the INRIA Matherials project. His work focuses on mathematical modeling, numerical analysis, and computational physics, particularly in molecular dynamics, metastable systems, and fluid mechanics. He holds a Ph.D. from Ecole des Ponts ParisTech (2004) and a Habilitation (2009). Research interests include micro-macro modeling of viscoelastic fluids, free surface flows, and stochastic processes in metastable systems. Notable awards include the ERC Consolidator Grant (2013-2019) and the Grand prix Alcan (2010). He teaches part-time at Ecole Polytechnique and has organized numerous international workshops on computational methods and statistical physics. Key contributions include advancements in adaptive biasing force methods, accelerated molecular dynamics, and quasi-stationary distributions. He serves on editorial boards of journals like SIAM/ASA JUQ and Foundations of Computational Mathematics.

Philippe PoncetView profile

Professor

• Numerical Analysis
• High Performance Computing
• Fluid Dynamics
• +5 more

Philippe Poncet is a Professor at the Université de Pau et des Pays de l'Adour (UPPA) and Vice-President for Digital Environment. He leads the Numerical Methods and Complex Fluids team at the Laboratory of Mathematics and their Applications (LMAP). His expertise spans particle/vortex methods, high-performance computing, and applications in geoscience, microfluidics, and biomathematics, with a focus on reactive flows and porous media. Poncet's research integrates numerical analysis with practical challenges in environmental and biomedical engineering. Key interests include Lagrangian methods for fluid dynamics, optimization algorithms, pore-scale modeling, and cystic fibrosis biomechanics. His work bridges theoretical mathematics and industrial-scale simulations. Recent publications demonstrate advances in pore-scale dissolution modeling, Bayesian neural networks for inverse problems, and viscous flow simulations. His articles consistently address multi-scale challenges in geosciences and biomedicine using innovative computational frameworks. He has led significant projects including the ANR-funded MucoReaDy (mucus dynamics in respiratory diseases) and MicroMineral (CO₂ mineral storage). These collaborations involve multidisciplinary teams addressing environmental and health-related fluid dynamics.

Kevin LannonView profile

Professor

• Particle Physics
• High Energy Physics
• Effective Field Theory (EFT)
• +3 more

Kevin Lannon is a Professor of Physics & Astronomy at the University of Notre Dame's College of Science, serving as Associate Dean for Faculty Affairs. His research focuses on understanding the top quark's mass hierarchy through CMS detector analyses, effective field theory, and machine learning applications. He leads the Cyberinfrastructure to Accelerate Machine Learning (CAML) GPU cluster initiative and has pioneered opportunistic computing strategies using 10,000-25,000 CPU cores. B.S., St. Norbert College (1997) Ph.D., University of Illinois, Urbana-Champaign (2003) Research emphasizes top quark-Higgs interactions, FPGA-based track triggers, and data-intensive computing. Recent work includes neural network optimization for LHC data and dynamic resource management. He holds the 2020 Joyce Award for Undergraduate Teaching excellence. Key Projects: Track Trigger Upgrade (FPGA-based), Lobster workflow tool, Deep Learning for Particle Reconstruction Grants: CAML GPU Cluster (ND/OSG), CMS Tier-3 Site Scaling Labs/Teams: CMS Collaboration, Notre Dame High Energy Physics Group, CRC Data Science Initiative.

John LoSeccoView profile

Professor

• Particle Physics
• Neutrino Physics
• CP Violation
• +3 more

John LoSecco is a Professor in the Department of Physics & Astronomy at the University of Notre Dame. His research focuses on CP violation in quark decays (via the BaBar experiment) and neutrino interactions (via the Double ChooZ experiment). He has contributed to major collaborations like DUNE, IceCube-Gen2, and IMB-3. His work bridges particle physics, astrophysics, and detector technology. B.S. in Engineering Physics, Cooper Union, 1972 A.M. & Ph.D. in Physics, Harvard University, 1973 & 1976 Research interests include neutrino oscillations, CP violation mechanisms, and precision measurements in high-energy physics. Recent work emphasizes the DUNE experiment’s neutrino oscillation program and IceCube-Gen2’s neutrino astronomy capabilities. His studies also explore proton decay and gravitational lensing effects on supernova neutrinos. Key contributions span neutrino mixing angle measurements, detector design for liquid argon time projection chambers (LArTPCs), and machine learning applications for event reconstruction. His articles highlight advancements in neutrino interaction modeling, accelerator upgrades, and software frameworks for large collaborations. Honors: Jefferson Science Fellow (2020-21), Bruno Rossi Prize (1989), DOE Outstanding Junior Investigator (1982-85) LoSecco advises on neutrino projects and collaborates internationally. He has pioneered experimental setups for neutrino flavor transitions and contributed to cosmic ray detection technologies. His labs focus on detector R&D for next-generation particle physics experiments.

Louise SkinnariView profile

Assistant Professor

• Experimental Particle Physics
• High Energy Physics
• Top Quark Studies
• +4 more

Louise Skinnari is an Assistant Professor in the Department of Physics at Northeastern University, affiliated with the College of Science. Her research focuses on experimental particle physics using the CMS detector at CERN's Large Hadron Collider (LHC), particularly studying top quarks and upgrading the CMS trigger system to enhance charged particle trajectory identification. Prior to Northeastern, she was a research associate at Cornell University working on the CMS experiment, and completed her PhD at UC Berkeley investigating physics beyond the Standard Model with the ATLAS experiment. Education: PhD in Physics from University of California, Berkeley (ATLAS Collaboration); prior work at Cornell University (CMS Collaboration). Research Interests: Experimental particle physics, top quark dynamics, dark matter detection, Standard Model precision measurements, and detector development for high-luminosity LHC runs. She contributes to the Future Circular Collider feasibility studies and explores novel signatures of beyond-Standard-Model physics through CMS data. 2025 Breakthrough Prize in Fundamental Physics (shared with Northeastern team) 2020 Department of Energy Physics Grant recipient Her work involves collaborations on detector upgrades, including the CMS Phase-2 Outer Tracker, and employs advanced analysis techniques such as machine learning for event classification. Active in both proton-proton and heavy ion collision studies, her research bridges fundamental physics questions with cutting-edge experimental techniques. Labs/Groups: CMS Collaboration at CERN, Northeastern High Energy Physics Group, and Future Circular Collider Studies.

• Molecular Biology
• Epigenetics
• Neurodegenerative Diseases
• +3 more

Jyotsna Kumar is an Associate Research Scientist in the Department of Laboratory Medicine at Yale School of Medicine. Her research spans molecular genetics, epigenetics, and neurodegenerative diseases, with a focus on prion toxicity, protein aggregation, and heterochromatin assembly mechanisms. She also contributes to interdisciplinary fields like biomedical engineering and nuclear medicine through studies on radiation dosimetry and accelerator technology. Education and Background: While her specific educational background isn't detailed here, her appointments and publications suggest advanced training in molecular biology, genetics, and engineering disciplines. Research Interests: Dr. Kumar’s work explores the molecular basis of epigenetic regulation, particularly through RNA-DNA interactions and heterochromatin dynamics in fission yeast. She investigates how J-proteins mitigate amyloid toxicity and prion propagation, with implications for neurodegenerative diseases. Additionally, she applies engineering principles to medical diagnostics, including radiation dosimetry for prostate cancer imaging. Key Contributions: Her recent studies highlight innovations in understanding siRNA-DNA hybrid roles in chromatin formation, human antiamyloid chaperones’ protective roles, and RF power distribution in particle accelerators. These contributions bridge basic science and translational applications. Grants and Awards: No specific grants or awards are listed in the provided text. Labs and Teams: Her research likely integrates with Yale School of Medicine’s Laboratory Medicine departmental initiatives, though specific lab affiliations aren’t detailed here.

• Materials Science
• Nuclear Engineering
• Mechanical Engineering
• +6 more

Dr. Ming Jiang is a Postdoctoral Research Associate at the Department of Engineering Science, University of Oxford, affiliated with the Science and Technology Facilities Council (STFC). His research focuses on advanced materials for extreme environments in nuclear and aerospace applications. Education: PhD in Physics from University of Bristol (2024) Master of Engineering (MEng) from University of Bristol Master of Science (MSci) from University of Bristol His work explores thermomechanical properties of nuclear graphite, TRISO fuel particles, and high-entropy alloys through multiscale experiments and modeling. Current projects include DUNE-LBNF Phase II collaboration and industrial testing with EDF Energy/NNL. Research trends: Recent publications emphasize irradiation damage analysis, cryogenic fracture mechanics, and in situ imaging techniques for materials under extreme conditions. Key methods include peridynamic modeling, Raman spectroscopy, and 4D tomographic imaging. Collaborations: Engages with Fermilab (USA), UK National Nuclear Laboratory (NNL), EDF Energy, ISIS Neutron and Muon Source, and UK Atomic Energy Authority (UKAEA). Labs: Works within Oxford's Solid Mechanics research group, utilizing beamline experimental facilities for material characterization.

James J. De YoreoView profile

Adjunct Professor

• Biophysics
• Materials Science
• Physical Chemistry
• +3 more

James J. De Yoreo is an Affiliate Professor of Chemistry and Materials Science & Engineering at the University of Washington, Seattle. His research focuses on understanding and manipulating interactions at solid-liquid interfaces in nanoscale, biological, and environmental systems using advanced in situ microscopy techniques like TEM and AFM. He holds a Ph.D. in Chemistry from Cornell University (1985). His research interests span biophysics, materials science, and environmental mineralogy, with a focus on biomineralization, protein aggregation, and crystal growth mechanisms. He leads a multidisciplinary group investigating topics such as oriented attachment in nanoparticle assembly, biomimetic mineral formation, and nanomaterial synthesis. His work bridges fundamental science and applied technologies, including energy materials and biomedical applications. De Yoreo has received prestigious recognition, including the 2025 Fred Kavli Distinguished Lecturer in Materials Science. His lab actively collaborates with institutions like Pacific Northwest National Laboratory (PNNL), leveraging cutting-edge tools to study dynamic processes at the atomic scale. He advises graduate students in areas like molecular engineering and nanotechnology. Key research themes include: Controlled mineralization using biomimetic polymers In situ visualization of nucleation and growth pathways Impact of solvents and additives on crystal morphology Design of 2D materials and peptoid-based nanomembranes His group’s innovations aim to advance fields from clean energy to biomedical implants through a deep understanding of atomic-scale processes.

• Quantum Optics
• Gravitational Theory
• Quantum Thermodynamics
• +4 more

Anatoly Svidzinsky is a Research Professor at Texas A&M University, specializing in advanced theoretical and applied physics. His research focuses on quantum optics, gravitational theories, and quantum thermodynamics, with notable contributions to black hole physics, vector gravity models, and quantum heat engine design. His work bridges fundamental physics with practical applications in photonics and condensed matter systems. Key research areas include: Quantum phenomena in black holes and de Sitter space Vector gravity models challenging general relativity Quantum coherence effects in energy systems Entanglement in relativistic systems (Unruh, Hawking radiation) Condensed matter dynamics and Bose-Einstein condensation Recent work explores novel applications of quantum theory in biology, photonic energy systems, and antenna engineering. His interdisciplinary approach integrates classical and quantum frameworks, as seen in his reinterpretation of Bohr's molecular model and vector gravity's implications for dark energy solutions. Publications highlight innovations in transient lasing without inversion, parametric resonance applications, and experimental designs for gravitational wave detection. His research often emphasizes coherence-driven enhancements in energy transfer and signal detection, with potential impacts on quantum computing and renewable energy technologies.

• Architecture
• Design
• Building
• +5 more

Gwyllim Jahn is a Lecturer in Architectural Design at RMIT University, working within the School of Architecture, Urban Design (AUD). His academic position focuses on bridging traditional architectural practices with cutting-edge digital technologies, particularly in the realm of augmented and mixed reality applications for design and construction. Dr. Jahn's research spans multiple disciplines including Architecture, Design, Artificial Intelligence, and Human-Centered Computing. His work demonstrates a consistent focus on integrating digital technologies with physical construction processes. Key areas of investigation include: Augmented Reality applications for precision construction Mixed Reality interfaces for collaborative design and fabrication Digital fabrication techniques for timber and steel structures Holographic construction guidance systems AI-assisted design processes Analysis of his recent publications reveals a strong trajectory toward practical applications of mixed reality technologies in architectural construction. His 2022-2024 works demonstrate increasing sophistication in using AR for high-precision fabrication, with measurable accuracy improvements achieving tolerances as low as 0.97mm. The research shows a clear evolution from theoretical exploration to practical implementation with quantifiable results in construction efficiency and precision. Dr. Jahn has collaborated with numerous researchers including Newnham C, van den Berg N, and others, indicating an active research network. His work has been presented at prestigious conferences including CAADRIA and ACADIA, suggesting successful acquisition of research funding for projects focused on digital architectural technologies. His research appears to involve laboratory or workshop settings for testing digital fabrication techniques, with documented real-world applications such as using holographic construction methods with expert bricklayers who completed wall sections in a fraction of expected construction time while maintaining industry-standard tolerances.

Kate LancasterView profile

Senior Lecturer

• Experimental Plasma Physics
• Inertial Fusion Energy
• Ultra-Intense Laser Plasma Interactions
• +3 more

Dr. Kate Lancaster is a Senior Lecturer at the University of York, affiliated with the York Plasma Institute within the School of Physics, Engineering, and Technology. Her research focuses on experimental plasma physics, particularly laser-plasma interactions, fast electron generation, and inertial fusion energy. She holds a PhD from Imperial College London (2005) and a BSc from the University of Surrey (2001). Lancaster has served in roles including York Plasma Institute Research Fellow (2015–2018) and Plasma and Fusion Industry Officer (2012–2015). Her work includes grants like the Royal Society International Exchanges Award (2018–2020) and supervision of PhD students. Teaching responsibilities include the MSc in Fusion Energy and undergraduate supervision. Her outreach includes BBC science documentaries and lectures at GCSE Science Live! and the Royal Institution. Professional memberships include the STFC Physical Sciences and Engineering advisory panel and FuseNet academic council. Her research spans laser-driven plasma diagnostics, fusion energy, and high-intensity laser interactions.

John Richard PasleyView profile

Researcher

• Inertial Confinement Fusion
• Fast Ignition
• Radiation Hydrodynamics
• +4 more

John Richard Pasley is a Reader in the School of Physics, Engineering and Technology at the University of York, with a focus on Inertial Confinement Fusion , Fast Ignition , and Shock Wave Analysis . He is part of the Plasma Physics and Fusion Group and contributes to experimental and theoretical advancements in laser-plasma interactions. Research Interests: Inertial Confinement Fusion Fast Ignition Radiation Hydrodynamics Hohlraum Modeling Shock Wave and Implosion Dynamics Recent publications highlight his work in laser-driven ion acceleration , electron beam generation via tailored plasmas, and shock wave characterization in materials like cyclohexane and TMPTA foams. His studies employ time-resolved diagnostics and femtosecond laser techniques to explore high-energy density physics. Grants and Projects include leadership in HiPER (STFC, 2008-2011) , Experimental Characterisation of Shock Waves (EPSRC, 2011-2013) , and collaborative research on extreme ultraviolet lasers (EPSRC, 2012-2015). He maintains international collaborations with institutions in India and Japan. Based at the York Plasma Institute and RAL , Pasley's work bridges laser physics , plasma hydrodynamics , and inertial fusion energy development.

Marina PetriView profile

Professor

• Nuclear Physics
• Nuclear Science
• Exotic Nuclei
• +7 more

Marina Petri is a Professor of Physics at the University of York, affiliated with the School of Physics, Engineering and Technology and the Department of Physics. She previously held roles including Assistant Professor at Darmstadt University of Technology (2012–2016), Royal Society University Research Fellow, and Senior Research Fellow. Her research focuses on experimental nuclear physics, particularly the structure of exotic nuclei and the nature of the nuclear force. Marina’s work involves cutting-edge experiments at international accelerator laboratories and developing advanced detectors, tools, and techniques. Her experimental program addresses fundamental questions such as the role of three-body forces and nucleon-nucleon correlations in atomic nuclei. The Petri Lab, part of her research group, is funded by the Royal Society and the UKRI Science and Technology Facilities Council. She actively collaborates in international projects and has delivered invited talks on nuclear physics topics since 2018. Her recent publications (2025) highlight trends in nuclear fission mechanisms, precision measurements of nuclear cross sections, and theoretical modeling of single-particle strength in nuclei. She has secured major grants, including the Nuclear Physics Consolidated Grant (2024–2027) and the gRIBF-UK project, and is a co-investigator on several funded research initiatives. Marina is currently accepting PhD students for research in nuclear science through the Petri Lab and offers supervision in experimental and theoretical nuclear physics. Her lab emphasizes interdisciplinary collaboration and innovation in detector technologies.

Halime HizarciView profile

Researcher

• Power Electronics
• Sustainable Aviation
• Smart Grid Optimization
• +3 more

Halime Hizarci is a Researcher at Aalborg University's Faculty of Engineering and Science , affiliated with the Department of Applied Power Electronic Systems . She has published 6 research outputs between 2017 and 2023, focusing on power electronics, sustainable aviation, and smart grid optimization. Research interests span DC-DC converter design , aircraft electrification , and renewable energy systems Key collaborations with researchers like U. Arifoglu and O. Demirel Recent work on three-level LLC resonant circuits and conducted emission suppression in solar inverters Publications demonstrate expertise in both academic research and industry applications. While no scientific awards are listed, her work contributes to advancing sustainable energy and aviation technologies.