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Robert ApsimonView profile

Senior Lecturer

• High power RF electronics
• Radiotherapy
• Nonlinear & off-axis beam dynamics
• +3 more

Dr. Robert Apsimon is a Senior Lecturer in Electronic Engineering at Lancaster University's School of Engineering. He previously conducted postgraduate research at CERN from 2012 to 2014 before joining Lancaster in 2014 as a Postdoctoral Research Associate (PDRA). His current affiliations include the RF Engineering of Accelerators at Lancaster (REAL) research group. He has held teaching positions at the LU/BJTU joint campus in Weihai, China since 2018. Robert earned his MPhys degree from Balliol College, University of Oxford in 2007, followed by a D.Phil. in feedback electronics at the same institution. His research interests focus on advanced RF engineering applications in particle accelerators and medical physics, including high-power RF systems, radiotherapy optimization, nonlinear beam dynamics, and broadband acceleration techniques. His projects span foundational and applied research: as Principal Investigator for CERN's AWAKE experiment (2020-2027), he explores proton-driven plasma wakefield acceleration. He leads the JLab-funded EIC project (2023-2027), mentors students in quantum engineering, and collaborates on the STELLA initiative (2024-2025) to develop high-reliability radiotherapy linear accelerators. Notable collaborations include STFC Impact Acceleration Account projects (2021-2022) and contributions to Cockcroft Phase 4 (2021-2025), enhancing accelerator technology for medical and scientific applications. Robert supervises 9 postgraduate research students, including Alexander Spelling. His work emphasizes practical solutions for accelerator design challenges, beam instability mitigation, and medical application advancements. No scientific awards are explicitly listed in the provided information.

Hans van DuijnView profile

Professor

• Applied Mathematics
• Differential Equations
• Porous Media Flow
• +3 more

Hans van Duijn is a Full Professor of Applied Analysis in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e). His research focuses on differential equations, porous media flow, and biomedical applications. He holds a PhD in Mathematics from Leiden University and has held visiting positions at institutions including the University of Minnesota and Bonn University. He is Editor-in-Chief of Computational Geosciences and a member of editorial boards for Interfaces and Free Boundaries and Transport in Porous Media . Since 2005, he has served as Chancellor of TU/e. Education: PhD in Mathematics, Leiden University MSc in Applied Physics, TU/e Research Interests: Hans specializes in mathematical analysis of differential equations with applications to fluid dynamics, porous media, and biomedical systems. His work addresses free boundary problems, conservation laws, and homogenization techniques. Key areas include modeling flow and transport in heterogeneous media, with contributions to sustainable development goals related to clean energy and environmental management. Grants & Advising: Supervised 14 academic works (names not listed). His research activity spans collaborations across Europe and North America, addressing challenges in computational geosciences and applied analysis. Labs/Teams: Active within TU/e’s Department of Mathematics and Computer Science, contributing to interdisciplinary groups focused on mathematical modeling and environmental mechanics.

Yunus Can GültekinView profile

Researcher

• Wireless Communication
• Optical Communications
• Quantum Key Distribution
• +5 more

Yunus Can Gültekin is a Researcher at the Eindhoven University of Technology (TU/e), affiliated with the Signal Processing Systems department within the Electrical Engineering school. He holds a B.Sc. and M.Sc. from Middle East Technical University (Turkey) and a Ph.D. from TU/e (2020). His research focuses on future wireless/optical communication systems, quantum key distribution, and signal processing solutions using information theory tools. Key contributions include developing coded modulation techniques and mitigating nonlinear interference in optical systems. Education: B.Sc., Middle East Technical University, Ankara, Turkey (2013) M.Sc., Middle East Technical University, Ankara, Turkey (2015) Ph.D., Eindhoven University of Technology, Netherlands (2020) Research Interests: Quantum Key Distribution (QKD) systems Optical and free-space communication systems Probabilistic shaping and nonlinear mitigation Coded modulation design for high-speed transmission Notable Achievements: Best Paper Award at WIC/IEEE Symposium (2018) Optica Student Paper Award (2022) Quantum Delta NL Exchange Visit Grant (2023) International Excellence Fellowship (2024) Teaching: Current courses: Communication Theory, Digital Wireless Communication Exploration Lab Past courses: Analog Electronics Lab, Digital Design Lab Key Projects: LaiQa: Quantum Satellite Communications (2024–2026) BIT-FREE: Free-Space Optics (2024–2028) COCOLI: Optical Link Complexity (2022–2028) Labs/Teams: Active in the Signal Processing Systems group, collaborating on quantum and optical communication initiatives at TU/e.

• Quantum Transport in Nanostructures
• Nanoscale Thermodynamics
• Quantum Dot Systems
• +3 more

Janine Splettstösser is a Professor of theoretical physics at Chalmers University of Technology, where she directs the Nano Area of Advance and leads the Applied Quantum Physics Group . She previously held academic positions at RWTH Aachen University (2009) and the University of Geneva as a postdoc. Education: Diplom (2003) from Karlsruhe Institute of Technology, PhD (2007) from Scuola Normale Superiore di Pisa and Ruhr-Universität Bochum Current Research: Quantum transport in nanostructures, nanoscale thermodynamics, dynamical transport properties Research Trends in her recent work include: Quantum thermodynamics and non-equilibrium fluctuations Coherent control in optomechanical and quantum dot systems Fluctuation-dissipation relations in mesoscopic devices Thermoelectric performance of nanoscale heat engines Scientific Recognition : ERC Consolidator Grant recipient Wallenberg Academy Fellow Mercator Fellow at University of Regensburg Her projects include On-chip waste recovery in quantum and nanoscale devices (2024-2028) and Thermodynamic constraints in quantum systems (2020-2023).

• Quantum Metrology
• High Harmonic Generation
• Ultrafast Laser Physics
• +3 more

Prof. Kjeld Eikema is a Full Professor at the Faculty of Science of Vrije Universiteit Amsterdam, affiliated with the Quantum Metrology & Laser Applications department and the LaserLaB - Physics of Light institute. He concurrently serves as a part-time group leader at ARCNL since 2014. His research focuses on ultrafast laser physics, high-harmonic generation, quantum metrology, and precision spectroscopy. Key contributions include studies on particle charge radii in quantum-degenerate helium, extreme ultraviolet vortex beams, and ptychographic imaging techniques. He has supervised 25 PhD theses and holds the Fresnel Prize 2003 for Fundamental Aspects from the European Physical Society. His work bridges fundamental physics with applied laser technologies, including innovations in laser pulse shaping and plasma-based light sources. Research interests span high-order harmonic generation, laser-matter interactions, and precision measurements . His group develops cutting-edge methods for extreme ultraviolet ptychography and coherent beam control. Recent advancements include structured illumination techniques and vortex beam applications. He teaches Ultrafast Laser Physics and contributes to interdisciplinary projects at the interface of quantum optics and metrology. Notable achievements include the first observation of the 1S-2S transition in helium ions and breakthroughs in Ramsey-comb spectroscopy. His lab, LaserLaB, is a hub for advanced laser systems and ultrafast dynamics research. Future work emphasizes quantum-degenerate gases and applications of extreme ultraviolet imaging in materials science.

• Aeroelasticity
• Finite Element Analysis
• Structural Dynamics
• +5 more

Matthew Philipp is a Fixed-term Researcher at the Department of Mechanical and Aerospace Engineering (DIMEAS) of Politecnico di Torino. His research focuses on advanced structural analysis, including aeroelasticity, finite element methodologies, and nonlinear dynamics of rotating and composite structures. He contributes to the MUL2 research group, specializing in layered structures and multifield analyses. Philipp teaches courses such as Aeroelasticity and Structural Mechanics at both undergraduate and graduate levels, and supervises multiple PhD students in topics like metamaterials and composite fracture analysis. His work spans projects like ASSESS (smart composite monitoring) and DRONE-DARE (drone-based structural evaluation), emphasizing innovation in aerospace and mechanical engineering. Education & Teaching: Philipp holds a role in the Mechanical Engineering and Aerospace Engineering doctoral programs, teaching modules on structural mechanics, aeronautical legislation, and aerospace design. His courses emphasize practical applications in structural analysis and computational methods. Research Focus: His research integrates computational engineering with advanced materials, focusing on high-fidelity finite element models for dynamic systems, rotor dynamics, and composite material behavior. Key areas include wave propagation in metamaterials, thermal-structural coupling, and fracture mechanics. Grants & Collaborations: He participates in competitive grants such as PNRR Mission 4 and EU MSCA projects, leveraging interdisciplinary approaches to solve challenges in structural health monitoring and aerospace system reliability. Labs & Teams: As part of the MUL2 group, he collaborates on developing unified theories for structural analysis and contributes to labs focused on composite manufacturing and virtual testing.

• Atmospheric Science
• Environmental Fluid Dynamics
• Dust Emission Modeling
• +5 more

Eden Furtak-Cole is an Assistant Research Professor at the Desert Research Institute (DRI), affiliated with the Atmospheric Sciences division located on the Reno Campus. Her research focuses on environmental fluid dynamics, particularly dust emission modeling, urban canopy meteorology, and wildfire impacts. She specializes in computational fluid dynamics (CFD) simulations and field measurements to study air quality, sediment transport, and atmospheric boundary layer processes. Key research areas include: Evaluation of dust emissions from off-highway vehicle recreation areas Development of fast models for pollutant dispersion in urban environments Mitigation strategies for coastal dune erosion and sediment management Wildfire effects on soil properties and subsurface heat fluxes Recent work includes collaboration with NASA and NOAA on dust emission monitoring systems, and contributions to the Salton Sea shoreline management project to reduce dust hazards. She has presented findings at major conferences including the American Physical Society Division of Fluid Dynamics and the European Geophysical Union General Assembly. Her technical expertise spans high-resolution CFD modeling using OpenFOAM, lidar-derived meteorological data analysis, and field experiments in complex terrain. Current projects involve developing a new metric linking PM10 emissions to wind power density for environmental impact assessments.

Aleksei TalonovView profile

Associate Professor

• Mathematical Modeling
• Differential Equations
• Applied Mathematics
• +3 more

Aleksei Talonov is an Associate Professor at the University of Nevada, Las Vegas (UNLV), specializing in mathematical modeling and applied mathematics. His research focuses on interdisciplinary applications, including geomechanics, porous media dynamics, and innovative educational strategies in STEM fields. He has contributed to advancing understanding of wave propagation in heterogeneous materials, failure mechanisms in rocks, and calculus pedagogy through modeling. Research Interests : Mathematical modeling of physical phenomena (e.g., heat transfer, gas transport, elastic waves) Development of active learning approaches in precalculus and calculus education Computational analysis of fractured and porous geological media Recent Work Trends : Recent publications emphasize integrating real-world problems into teaching (e.g., modeling diabetes pathways, heat exchangers) and exploring multiscale mechanics of complex materials. His work bridges theoretical mathematics with practical engineering challenges. Teaching & Advising : Talonov actively designs curricula for calculus and precalculus courses, emphasizing student engagement via modeling projects. No specific grants or advising roles are detailed in the provided texts. Labs/Teams : No lab affiliations are explicitly mentioned, though collaborations with geoscience and engineering departments are implied by his research topics.

• Analysis
• Fractional Calculus
• Differential Equations
• +3 more

Jeff Mortensen is a Teaching Professor and Associate Chair in the Department of Mathematics and Statistics at the University of Nevada, Reno (UNR). He holds a Ph.D. from the University of California, Davis (1993). His roles include serving as Math Center Director (2000-2005), Core Mathematics Director (2007-2008), and Interim Department Chair (2017-2018). His research focuses on Analysis, Fractional Calculus, and Differential Equations, with applications in environmental modeling and nonlinear systems. Education: Ph.D. in Mathematics, University of California, Davis, 1993 Research interests emphasize analytical and numerical solutions to differential equations, fractional calculus frameworks for advection-dispersion processes, and symmetry methods in nonlinear PDEs. His work bridges pure mathematics with applications in fluid dynamics and groundwater flow modeling. Teaching and innovation include developing web-based testing systems with dynamic question generation (2001), reflecting his commitment to educational technology. He has advised no listed graduate students but has extensive undergraduate teaching experience in mathematics. Affiliations include the College of Science at UNR, located at Davidson Mathematics and Science Center, Reno, NV.

Francesco CaponiView profile

Lecturer

• River Ecomorphodynamics
• Riparian Vegetation
• Seed Dispersal
• +3 more

Dr. Francesco Caponi is a Lecturer at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering, where he researches interactions between river morphodynamics and riparian ecosystems. His work combines numerical modeling with field observations to understand feedback mechanisms between vegetation and fluvial processes. Research focuses on hydrochory (seed dispersal by water), vegetation establishment patterns, and hydropeaking impacts in alpine rivers. Developed the BASEveg Python package coupling BASEMENT hydro-morphodynamic simulator with vegetation dynamics models. Current projects include Lagrangian seed dispersal modeling and sediment-habitat relationships in river widenings. Field investigations conducted in the Ticino Rivers Lab collaboration with Canton Ticino authorities. Awarded Best Student Presentation at 2019 RCEM symposium for research on vegetation-morphodynamic feedbacks. Leads the TiRiLab initiative enabling student research on Swiss rivers through BASEMENT simulations and GIS analysis. Teaches river engineering concepts through MSc projects focused on hydrological assessment and ecosystem services in Alpine environments.

• Fluid Dynamics
• Nonlinear Phenomena
• Turbulence
• +3 more

Dr. Horst Punzmann is a researcher at the Research School of Physics, The Australian National University, specializing in experimental fluid physics with a focus on nonlinear phenomena, turbulence, surface waves, and plasma physics. His work explores interactions between fluid dynamics and complex systems, including granular matter and microbial processes. Research Projects: Transport control in multi-species fluid suspensions (2019–2024) Novel methods of spill containment on water surfaces (2017–2020) Liquid metamaterial facility for active matter studies (2017) Passive and active swimmers in complex flows (2015–2018) Research Interests: Dr. Punzmann investigates turbulence-driven phenomena, surface wave dynamics, and their applications in fields like biofilm formation and microbial transport. His studies often bridge fluid dynamics with interdisciplinary areas such as biophysics and materials science. Grants & Collaborations: Collaborations include projects on turbulence control, spill mitigation, and metamaterial design. His work is supported by grants focusing on fluid dynamics and active matter systems. Labs & Facilities: He contributes to the Liquid Metamaterials facility, enabling advanced studies of active matter and bacterial flow interactions.

Yubin YanView profile

Associate Professor

• Numerical Analysis
• Stochastic Differential Equations
• Fractional Calculus
• +5 more

Dr. Yubin Yan is an Associate Professor in the Department of Computer and Engineering Sciences at the University of Chester, UK. He leads the BSc Mathematics program and previously served as Programme Leader for the MSc Mathematics (2012–2019). Recognized as 'Most Inspiring Lecturer' (2016), he teaches advanced mathematical topics including stochastic calculus, partial differential equations, and fractional calculus. His research focuses on numerical methods for stochastic/deterministic differential equations, finite element methods, and fractional calculus, with over 80 peer-reviewed publications. He holds editorial roles in five international journals and organized minisymposia at major conferences like the Biennial Numerical Analysis Conference (2019, 2023, 2025). Research Interests: Specializes in numerical analysis for stochastic and deterministic equations, finite difference/element methods, fractional calculus applications in science/engineering/finance. His groundbreaking 2005 framework for error estimation in stochastic parabolic equations remains a standard reference. Current trends in his work include high-order numerical methods for fractional PDEs, stochastic sub/superdiffusion, and multiplicative noise modeling. Editor: Numerical Applied Mathematics and four other journals Guest Editor: Special issues in Mathematics (2021) and Discrete Dynamics (2017) Grants: EPSRC (UK), NSFC (China), University of Chester Advising: Supervised 5 PhD students and 30 MSc dissertations in Applied/Computational Mathematics. Active in international academic service, including refereeing for over 30 journals and conference organization.

Steven MaleyView profile

Assistant Professor

• Computational Chemistry
• Catalysis
• Machine Learning
• +3 more

Steven Maley is an Assistant Professor in the Department of Chemistry and Biochemistry at Wilfrid Laurier University. His research focuses on computational chemistry , catalysis , and machine learning applications in chemical systems. He explores catalyst design for polymerization reactions, non-covalent interactions in catalytic systems, and reaction mechanisms using quantum mechanical methods like DFT and CCSD(T). His work bridges computational modeling with experimental outcomes to advance materials science and catalytic process optimization. Dr. Maley’s office is located in BA418, and he holds regular office hours on Tuesdays and Thursdays from 2–4 p.m. He actively supervises student research opportunities in computational chemistry and catalysis, encouraging graduate and undergraduate involvement in cutting-edge projects. His publications emphasize machine learning integration with computational chemistry to predict reaction outcomes, optimize catalysts, and analyze electronic structures. Recent trends include studying chromium and zirconium-based catalysts for ethylene trimerization, understanding σ-bond metathesis dynamics, and resolving structural dilemmas in organic molecules like isothiirane. His research also applies catastrophe theory to explain symmetry-breaking phenomena in molecular systems. While no specific grants or awards are listed, his work demonstrates strong methodological innovation in combining theoretical approaches with data-driven analysis. He maintains a lab focused on computational simulations and collaborates across disciplines to address challenges in catalytic reaction design and materials discovery.

Victor BoussangeView profile

Researcher

• Ecology and evolution
• Scientific machine learning
• Complex dynamical systems
• +3 more

Victor Boussange is a Postdoctoral Researcher at the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) and the Department of Environmental Systems Science (D-USYS) at ETH Zurich. His research focuses on integrating scientific machine learning with ecological and evolutionary modeling to understand complex systems dynamics. He holds a PhD in Environmental Sciences from ETH Zurich (2022) and an MSc in Energy and Environmental Sciences from INSA Lyon (2018). Primary affiliation: Dynamic Macroecology Group at WSL Secondary affiliation: D-USYS, ETH Zurich Research Interests: Development of hybrid mechanistic-machine learning frameworks to model ecosystem responses to disturbances, ecological connectivity analysis, and eco-evolutionary dynamics. His work emphasizes interpretable models and scalable computational methods. Publications highlight contributions to high-dimensional PDE solvers (HighDimPDE.jl), inverse modeling frameworks (PiecewiseInference.jl), and ecological connectivity prioritization (JAXScape). His work bridges theoretical ecology with computational tools for real-world applications like biodiversity conservation and climate change impact assessment.

Rafael RoldánView profile

Researcher

• Nanomaterials
• Two-dimensional materials
• Graphene
• +5 more

Rafael Roldán is a Researcher at the Instituto de Ciencia de Materiales de Madrid (ICMM-CSIC), Spanish National Research Council, specializing in nanoscale materials and two-dimensional heterostructures. His work explores electronic, optical, elastic, magnetic, and superconducting properties of graphene, transition metal dichalcogenides (e.g., MoS 2 ), and black phosphorus, with significant contributions to strain engineering and quantum phenomena in low-dimensional systems. He earned his PhD at ICMM-CSIC (2003-2007) under M.P. López Sancho, with research stays at Boston University, UC Riverside, and ETH Zurich. Postdoctoral positions followed at Laboratoire de Physique des Solides (Université Paris-Saclay, 2007-2009) and Radboud University's Institute for Molecules and Materials (2009-2011). Roldán's research integrates theoretical modeling and experimental analysis to investigate piezoelectric effects in hexagonal boron nitride, hyperbolic plasmons in black phosphorus, and defect-induced quantum states in transition metal dichalcogenides. His work reveals how strain, defects, and anisotropy tune optoelectronic properties for applications in nanoelectronics and quantum technologies, emphasizing fundamental mechanisms in 2D material heterostructures. Recent publications demonstrate consistent innovation in manipulating 2D material properties through strain engineering, defect control, and plasmonic design, with strong focus on black phosphorus anisotropy, transition metal dichalcogenide bubbles, and valley-dependent phenomena. These studies bridge condensed matter theory with practical device applications in flexible electronics and quantum information. Scientific recognition includes: Ramón y Cajal fellowship (2017) Juan de la Cierva fellowship (2012-2015) As Principal Investigator of project FIS2014-58445-JIN (2015-2018) on 2D crystal applications, he secured competitive national funding. While no formal student advising is documented, his collaborative network spans ICMM-CSIC, international universities, and research institutes, evidenced by extensive co-authorship in high-impact journals. He contributes to CSIC's leadership in theoretical condensed matter physics through active participation in the institute's materials science division and specialized workshops on 2D quantum materials.