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Chunyi GaiView profile

Assistant Professor

• Reaction-Diffusion Systems
• Pattern Formation
• Dynamical Systems
• +5 more

Dr. Chunyi Gai is an Assistant Professor in the Department of Mathematics and Statistics at the University of Northern British Columbia (UNBC), part of the Faculty of Science and Engineering. She holds a PhD in Mathematics from Dalhousie University (2021) and completed a postdoctoral fellowship at the University of British Columbia (2021-2024). Her research focuses on reaction-diffusion systems, pattern formation, and dynamical systems analysis with applications in ecology, morphogenesis, and crime modeling. She employs both analytical methods (e.g., asymptotic analysis) and numerical simulations to study localized patterns, bifurcations, and stochastic influences on system behavior. Education: PhD in Mathematics (Dalhousie University, 2021), Postdoctoral Research (University of British Columbia, 2021-2024). Research emphasizes theoretical development of reaction-diffusion models and their real-world applications, including: Pattern formation in ecological systems and urban crime Stability analysis of spike-like patterns Influence of domain growth and stochasticity on spatiotemporal dynamics Teaching experience includes courses at UNBC (e.g., MATH 335 Numerical Methods), UBC (e.g., MATH 307 Applied Linear Algebra), and Dalhousie University (e.g., MATH 2120 ODE Methods). Her work bridges pure mathematics with applied problems, maintaining a focus on interdisciplinary collaboration.

Jongguen LeeView profile

Professor

• Combustion Engineering
• Aerospace Propulsion
• Fluid Dynamics
• +3 more

Professor Jongguen Lee is a faculty member at the University of Cincinnati, specializing in combustion and propulsion systems. His research focuses on combustion dynamics in gas turbines, ramjets, and rocket propulsion, with expertise in laser-based diagnostics, supersonic combustion, and combustion control. He collaborates with major industries like GE Aviation, Pratt & Whitney, and NASA. His work addresses challenges in combustion instability, fuel-air mixing, and multi-phase combustion processes. Recent projects include studies on O2-CO2 combustion for carbon capture and satellite data analysis for riverine phosphorus quantification using machine learning. He has secured federal and industry grants totaling over $140,000, including roles as PI in programs like the Aerospace Propulsion Outreach Program (APOP). His publications span journals such as Flow, Turbulence and Combustion and Atomization and Sprays , with a focus on jet dynamics, spray characterization, and combustion diagnostics. Notable collaborations include AFRL-Wright Patterson, NASA-GRC, and DOE NETL. His research bridges theoretical models and practical applications in aerospace propulsion and environmental sustainability.

Ali FarhadzadehView profile

Associate Professor

• Nearshore Hydrodynamics
• Sediment Transport
• Coastal Flooding
• +3 more

Ali Farhadzadeh is an Associate Professor at the School of Marine and Atmospheric Sciences, Stony Brook University. His research focuses on nearshore hydrodynamics, sediment transport, and coastal protection systems. He holds a Ph.D. from the University of Delaware's Center for Applied Coastal Research (2011). His work addresses resilient coastal infrastructure, wave-structure interactions, and disaster resilience for vulnerable communities. Education: Ph.D., 2011 - Center for Applied Coastal Research, University of Delaware. Research interests include coastal flooding mitigation, sediment dynamics under extreme events, and marine renewable energy resource assessment. His recent studies explore scour processes, oyster reef functionality, and human-centric flood resilience strategies. Publications highlight trends in numerical modeling of wave impacts, physical experiments on bluff recession, and collaborative projects on debris dynamics. His research integrates computational tools with experimental data to improve coastal hazard prediction and infrastructure design. Grants include SCC-CIVIC-PG Track A (2022) for socioeconomically disadvantaged coastal communities and collaborative NSF projects on scour mechanisms. He leads efforts in experimental facilities and field observations for coastal processes analysis. Labs/Teams: Directs research on coastal hazards and resilience, with contributions to the School's marine and atmospheric science initiatives.

Laurent HeldenView profile

Researcher

• Colloidal Physics
• Critical Casimir Forces
• Statistical Mechanics
• +3 more

Laurent Helden is affiliated with the Department of Physics at the University of Stuttgart's Faculty of Mathematics and Physics. His research focuses on colloidal systems, critical Casimir forces, and light scattering techniques, with contributions to self-assembly phenomena and experimental validation of theoretical models. He has collaborated extensively with Prof. C. Bechinger and other researchers, publishing in journals like Physical Review Letters and Nature . Key research areas include quasicrystalline surface tiling, boundary-condition effects in critical Casimir interactions, and advanced microscopy techniques like Total Internal Reflection Microscopy (TIRM). His work bridges experimental physics with computational modeling, addressing fundamental questions in condensed matter and soft matter physics. Recent publications highlight advancements in colloidal assembly patterns, direct force measurements at critical points, and evanescent wave scattering simulations. Collaborative projects involve interdisciplinary teams exploring symmetry-breaking mechanisms and phase transition dynamics in complex fluids.

Andrew HarrisonView profile

Senior Lecturer

• Bioinformatics
• Functional Genomics
• Biostatistics
• +3 more

Dr. Andrew Harrison is a Senior Lecturer in the School of Mathematics, Statistics and Actuarial Science at the University of Essex. Originally an astrophysicist specializing in star formation, he transitioned to bioinformatics to explore life detection on exoplanets and apply mathematical-statistical methods to functional genomics. His work involves collaborating with biologists and medics to analyze data-rich experiments like microarrays. Qualifications include a PhD in Astrophysics and BSc in Physics with Astrophysics from the University of Manchester (1991). He has held his current position since 2004. Research interests span bioinformatics applications, computational genomics, and interdisciplinary collaborations in life sciences. Publications reflect expertise in gene selection methods, evolutionary cooperation models, and bioinformatics tools for genomic data analysis. He has contributed to rice stress-resistance databases and protein interaction studies. His work bridges astrophysics-derived analytical techniques with modern biological problems, emphasizing data-driven solutions. Grants and funding details are listed in institutional records, though specific projects are not detailed here. Teaching and supervision activities are integral to his role, though student names are not provided in available texts.

Samy Wu FungView profile

Assistant Professor

• Inverse Problems
• Optimization
• Deep Learning
• +4 more

Samy Wu Fung is an Assistant Professor in the Department of Applied Mathematics and Statistics and affiliated with the Department of Computer Science at Colorado School of Mines. He is part of the Mines Optimization and Deep Learning (MODL) group. Prior to this, he was an Assistant Adjunct Professor at UCLA's Department of Mathematics. He holds a PhD in Applied Mathematics from Emory University (2019) and a BSc in Applied Mathematics from Brown University (2014). His research focuses on the intersection of applied mathematics and data science, particularly in inverse problems, optimization, deep learning, optimal control, and mean field games. His work spans theoretical developments and practical applications, including numerical solutions for Hamilton-Jacobi PDEs and algorithms for swarm control. Recent publications highlight advancements in mean-field games, optimization methods for SAT solving, and generalization bounds for implicit networks. He has received notable awards, including the 2024 Laney Early Career Alumni Award and the 2022 MGB-SIAM Early Career Fellowship. Advising includes PhD students like Soraya Terrab and Alex Vidal. He has secured grants such as the NSF-DMS award (2023) supporting learning-to-optimize research. Teaching roles include courses like Numerical Optimization and Scientific Computing at Colorado School of Mines. His lab, MODL, emphasizes interdisciplinary projects in optimization and deep learning, with collaborations spanning academia and industry. Ongoing work explores explainable AI, hybrid SAT solving, and high-dimensional mean-field control.

Deborah O'ConnellView profile

Professor

• Low-Temperature Plasma Technology
• Plasma Medicine
• Environmental Plasma Applications
• +4 more

Prof. Deborah O'Connell is a Full Professor and Director of the National Centre for Plasma Science and Technology (NCPST) at Dublin City University (DCU). She holds a PhD from DCU and has held prestigious positions including Chair at the University of York (UK) and EU Marie Curie Fellowship at Queen’s University Belfast. Her research focuses on plasma-based technologies addressing global challenges in biomedical and environmental sectors, including plasma medicine, antimicrobial applications, and green chemistry solutions. Her work emphasizes atmospheric pressure plasmas, plasma activated liquids, and diagnostic techniques. She has pioneered advancements in plasma-jet design and reactive species control. Key achievements include the Quantemol database development and co-founding the International Conference on Data-Driven Plasma Science. Prof. O'Connell has received international recognition, including the EPS/IoP Crookes Prize (2018) and the IoP Hershkowitz Award (2013). She actively contributes to global plasma science through leadership roles in the International Plasma Chemistry Society and IUVSTA's Plasma Science & Techniques Division. Her interdisciplinary research integrates plasma physics, chemistry, and biology to advance therapies and sustainable technologies. Current work explores plasma applications in agriculture, cancer treatment, and environmental remediation.

Zhenzhen YuView profile

Associate Professor

• Materials Joining
• Welding Metallurgy
• Non-Equilibrium Phase Transformations
• +5 more

Zhenzhen Yu is an Associate Professor in Metallurgical and Materials Engineering at the Colorado School of Mines. She directs the Center for Welding, Joining, & Coatings Research (CWJCR) and co-directs the Manufacturing and Materials Joining Innovation Center (Ma2JIC). Her research focuses on advanced manufacturing processes, particularly materials joining, non-equilibrium phase transformations during welding, and multi-material system design. She holds a Ph.D. in Materials Science and Engineering from the University of Tennessee, Knoxville, and a B.S. in Mechanical Engineering from East China University of Science and Technology. Research interests include: joining of dissimilar materials, weld microstructure-property relationships, in-situ characterization of transient material states, and stress relaxation cracking susceptibility evaluation. Notable awards include the NSF CAREER Award (2019) and the McKay-Helm Award (2019). Her recent work addresses challenges in high-temperature materials for energy storage systems, stress corrosion cracking mechanisms in nuclear applications, and development of multi-principal element alloys for advanced joining applications. She teaches courses such as Advanced Welding Metallurgy and Solidification. Labs: Center for Welding, Joining, & Coatings Research (CWJCR) Key Projects: Residual stress control in welding, AI-enabled robotic NDE for power plant boilers, molten salt tank failure analysis

Andreas KoutselosView profile

Professor

• Physical Chemistry
• Molecular Dynamics
• Ion Transport in Gases
• +4 more

Andreas Koutselos is a Professor of Physical Chemistry at the Department of Chemistry, National and Kapodistrian University of Athens. His research focuses on molecular dynamics, ion transport in gases and supercritical fluids, and computational modeling of chemical systems. He has contributed significantly to understanding electrostatic field effects on ions and biomolecules, as well as environmental applications like pollutant adsorption and photocatalysis. His academic career is marked by studies on gas-phase ion behavior, nonequilibrium thermodynamics, and the interplay between theoretical chemistry and experimental observations. Key research areas include peptide dynamics, ion mobility in supercritical fluids, and the development of novel computational methods for chemical systems analysis. Publications span over three decades, reflecting expertise in both foundational physical chemistry and applied environmental chemistry. Collaboration with international teams has advanced methodologies for simulating complex chemical phenomena, including ion dynamics under external fields and reaction mechanisms in catalytic systems.

Igor YurkevichView profile

Associate Professor

• Quantum Field Theory
• Strongly Correlated Fermions
• Quantum Nonlinear Optics
• +3 more

Igor Yurkevich is Associate Professor of Applied Mathematics & Data Science at Aston University's School of Computer Science and Digital Technologies. His research explores quantum field theory, strongly correlated low-dimensional fermions, quantum nonlinear optics, mesoscopic physics, and non-equilibrium dynamics in condensed matter systems. He holds a PhD in Theoretical Physics (1988) and has held research positions at University of Birmingham, ICTP Trieste, Bar Ilan University, and Kharkov institutes. Recent work investigates Coulomb blockade phenomena, superconducting systems, and quantum transport in nanostructures.

Hannah AltehengerView profile

Lecturer

• Philosophical Moral Psychology
• Self-Control
• Moral Responsibility
• +4 more

Hannah Altehenger is a Lecturer in the Philosophy Department at the University of Konstanz, where she leads the DFG-funded research project 'The Ethical Dimensions of Self-Control' (2022–2025). Previously, she held teaching positions at Bielefeld University (2017–2020), Zurich University, and the University of Salzburg (2020–2021). She also served as a substitute lecturer in Practical Philosophy at Saarland University during the 2023 summer term. Her research focuses on Philosophical Moral Psychology, with core interests in self-control, weakness of will, moral responsibility for non-ideal agents, and blame theories. Recent work extends into AI ethics, exploring moral responsibility and blame attribution for artificial systems. Altehenger’s academic credentials include a PhD from Humboldt-University Berlin (2018), with earlier studies at Bielefeld University (BA/MA). She conducted research stays at Oslo University and the University of Michigan during her PhD. Her publications span journals like Analysis , Synthese , and Journal of Ethics and Social Philosophy . Current research integrates empirical insights with normative ethics, addressing challenges posed by autonomous systems and human agency. No formal awards are listed, though her project funding indicates scholarly recognition.

Brian WoodView profile

Professor

• Transport Phenomena
• Multiscale Analysis
• Environmental Engineering
• +3 more

Brian Wood is a Professor in the Department of Chemical, Biological, and Environmental Engineering at Oregon State University (OSU), part of the College of Engineering. His research focuses on multiscale systems analysis, particularly in transport phenomena, tissue modeling, and environmental engineering applications. He holds a Ph.D. in Civil and Environmental Engineering from the University of California, Davis (1999), an M.S. in Environmental Engineering from Washington State University (1990), and a B.S. in Civil Engineering from Washington State University (1988). Wood’s research interests span transport of mass, momentum, and energy in natural and engineered systems, including multiscale tissue analysis and cancer biology modeling. His work integrates computational methods with experimental data to address challenges in porous media dynamics, biofilm growth, and environmental remediation. Notable contributions include studies on non-equilibrium transport, chemotaxis in granular media, and biofilm architecture visualization using synchrotron-based X-ray tomography. His recent publications (2020–2025) emphasize advancements in upscaling techniques for porous media flow, machine learning applications in biomedical modeling, and regulatory frameworks for end-user control systems. He leads the Computation and Simulation research group at OSU, fostering interdisciplinary approaches to multiscale hydrogeologic modeling. Wood’s research has been supported by collaborative grants focusing on bacterial transport in heterogeneous environments and hybrid multiscale methods. His work bridges theoretical developments in continuum mechanics with practical applications in environmental engineering and biomedical systems.

Michele BerardiView profile

Associate Professor

• Economics
• Econometrics
• Macroeconomics
• +3 more

Michele Berardi is an Associate Professor (Reader) in Economics at the University of Manchester, serving as Director of Postgraduate Research for the School of Social Sciences. He holds a PhD from the Sant'Anna School of Advanced Studies in Pisa, Italy, and has been at the University of Manchester since 2006. His research focuses on expectations, learning, and information dynamics in economic systems, particularly exploring deviations from rational expectations within the framework of bounded rationality. His work contributes to understanding how economic agents process information and form beliefs, impacting policy design and market stability. Key research areas include Bayesian econometrics, asset pricing under uncertainty, and the implications of bounded rationality on macroeconomic outcomes. His recent articles analyze topics like price stability in cobweb models, sentiment-driven asset price fluctuations, and the role of learning algorithms in economic dynamics. Berardi’s studies often emphasize methodological rigor, combining theoretical models with empirical analysis. He has supervised 9 academic works, contributing to the next generation of researchers in economics. While no specific grants or awards are highlighted, his prolific publications (54 outputs, including 28 working papers and 23 peer-reviewed articles) reflect sustained scholarly engagement. His research aligns with UN Sustainable Development Goals, particularly those addressing economic stability and policy effectiveness.

Valerio ScaraniView profile

Professor

• Quantum Physics
• Quantum Information Science
• Quantum Thermodynamics
• +4 more

Valerio Scarani is a Professor at the Department of Physics within the School of Science at the National University of Singapore (NUS) , where he joined in 2007. He serves as Deputy Director of the Centre for Quantum Technologies (CQT) . His research focuses on theoretical quantum science , particularly in quantum information, Bell nonlocality, device-independent certification, and quantum thermodynamics. Education: PhD from École Polytechnique Fédérale de Lausanne (EPFL), Switzerland (2000) Key Research Areas: Device-independent quantum certification Information-thermodynamics interplay Gravity effects on quantum sources Bell nonlocality foundations Quantum state smoothing Recent publication trends highlight four major directions: Time-evolution-based quantumness certification (e.g., harmonic oscillator dynamics) Epistemic approaches to the Second Law through Bayesian retrodiction Gravitational effect detection in quantum superposition states Foundational work on Tsirelson inequalities and entanglement witnesses Contact: physv@nus.edu.sg | Office: S15-03-14B | Phone: +65 6516 2813

HO Wen WeiView profile

Assistant Professor

• Quantum Many-Body Systems
• Quantum Information Science
• Condensed Matter Physics
• +3 more

Dr. HO Wen Wei is an Assistant Professor of Physics at the National University of Singapore (NUS) and a recipient of the NUS Presidential Young Professorship. He holds a PhD from the University of Geneva (2017), an MS from the University of Waterloo (2014), and an AB from Princeton University (2013). His research focuses on novel nonequilibrium quantum many-body phenomena, quantum information science, and collaborations with experimental groups using Rydberg atoms and ultracold atoms. He explores topics like prethermalization, quantum many-body scars, and quantum state designs in chaotic dynamics. Education: PhD in Physics, University of Geneva (2017) MS in Theoretical Physics, University of Waterloo (2014) AB in Physics (Magna cum Laude), Princeton University (2013) Research Interests: Quantum many-body dynamics and thermalization Quantum information protocols for NISQ devices Quantum simulation with Rydberg and ultracold atoms Exact solutions and numerical methods (e.g., tensor networks) Applications in quantum state tomography and error mitigation Scientific Awards: NUS Presidential Young Professorship (2022–present) Advising & Collaborations: Dr. Ho leads the quantum many-body dynamics group at NUS, recruiting graduate students and postdocs. He collaborates with experimental teams on analog quantum simulators and has prior postdoctoral experience at Harvard and Stanford. His lab focuses on bridging theoretical models with experimental implementations. Labs & Teams: His research group at NUS integrates theoretical physics with cutting-edge quantum technologies, emphasizing interdisciplinary collaborations. Recent work includes studies on deep thermalization and quantum ergodicity in driven systems.