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Glenn StarkmanView profile

Professor

• Cosmology
• Particle Physics
• Astrophysics
• +5 more

Glenn Starkman is a Professor and Vice-Chair in the Department of Physics at Case Western Reserve University. He holds a B.Sc. (Hons.) from the University of Toronto (1984) and a Ph.D. from Stanford University (1988). Research Interests: Dr. Starkman focuses on cosmology , particle physics , and astrophysics , particularly on the fine-tuning problem in the Standard Model, dark matter as macroscopic baryonic chunks, modified gravity theories, and the topology of the universe. His work integrates theoretical physics with observational data from microwave background radiation, galaxy surveys, and gravitational lensing. Selected Scientific Awards: Distinguished University Professor Michelson Postdoctoral Prize Lectureship Recent Research Trends: His recent articles address cosmological simulations , dark matter candidates , Ward-Takahashi identities in the Standard Model , and topological constraints on the universe . These studies often bridge theoretical frameworks with observational tests. Collaborations and Mentorship: He collaborates closely with graduate and undergraduate students, postdoctoral associates, and international research teams. His projects include precision tests of the Standard Model and investigations into dark energy and cosmic isotropy. Contact: glenn.starkman@case.edu

Abdelhak M. ZoubirView profile

Professor

• Statistical Signal Processing
• Cooperative Sensor Communications
• Radar Imaging
• +5 more

Abdelhak M. Zoubir is a Professor of Signal Processing and Head of the Signal Processing Group at Technische Universität Darmstadt, Germany. He has held leadership roles including Head of the Department of Electrical Engineering and Information Technology (2012–2014 and 2020–2022), and President of the European Association for Signal Processing (EURASIP, 2017–2018). His research focuses on statistical signal processing with applications in radar imaging, biomedical engineering, and automotive systems. Zoubir has authored over 500 publications and is a Fellow of IEEE and EURASIP. He currently leads projects on radar communication integration, robust signal processing algorithms, and radiation-hardened sensor development. Education: Dipl.-Ing. (BSc/MSc) from Fachhochschule Niederrhein and Ruhr-Universität Bochum, followed by a Dr.-Ing. (PhD) in Electrical Engineering from Ruhr-Universität Bochum (1992). Research Interests: Bootstrap techniques, robust detection/estimation, cooperative sensor networks, radar for landmine detection, and automotive safety systems. He has pioneered methods in robust statistical signal processing, including low-rank matrix completion and sparsity-aware algorithms. Recognition: Recipient of the IEEE Meritorious Service Award (2018), IEEE Signal Processing Magazine Best Paper Award (2017), and the M. Barry Carlton Award (2014). He has been a keynote speaker at major conferences such as ICASSP and EUSIPCO, and served as Editor-in-Chief of the IEEE Signal Processing Magazine (2012–2014). Current Projects: Focus on automotive radar signal processing, radiation-hardened sensors (MALTA), and distributed learning robustness. His work bridges theoretical advancements with practical applications in defense, healthcare, and automotive industries.

• Optics
• Photonics
• Optical Trapping
• +9 more

Professor David McGloin is a Personal Chair and Head of School at the School of Natural and Computing Sciences, University of Aberdeen, a position he has held since September 2022. He is actively involved in research, teaching, and leadership, supervising PhD students and developing new courses in optics. His academic journey includes faculty roles at the University of Dundee and the University of Technology Sydney, where he served as Director of Research Programs in the Faculty of Engineering and IT. MSci (Hons) in Laser Physics and Optoelectronics, University of St. Andrews (1997) PhD in Physics, University of St. Andrews (2001) David McGloin's research centers on optics, particularly optical trapping, beam shaping, and their applications in biomedical and environmental sciences, including aerosol analysis and biophotonics. He also explores THz beam shaping and microfluidics. His work bridges physics, engineering, and life sciences, with a strong emphasis on experimental and computational photonics. His recent publications reveal a consistent focus on optical manipulation techniques, especially using Bessel beams and holographic methods, with applications in aerosol dynamics, single-pixel imaging, and biomedical force measurements. The trend shows increasing interdisciplinary collaboration, integrating optics with immunology, environmental science, and advanced manufacturing. Royal Society University Research Fellowship (2003) McGloin has supervised numerous PhD and postgraduate students and has led major research initiatives across institutions. His leadership roles include Head of Physics and Associate Dean for Research at Dundee, and Director of Research Programs at UTS. He has secured significant research funding, though specific grants are not detailed in the text. He is currently accepting PhD students in physics, particularly in experimental or computational optics and photonics. He is a member of professional bodies including the Institute of Physics (MInstP), Senior Member of Optica, and Chartered Physicist (CPhys). His research group focuses on developing novel optical tools for scientific and industrial applications, with strong ties to interdisciplinary teams in biophysics and environmental monitoring.

Carlo DallapiccolaView profile

Professor

• Experimental Particle Physics
• High-Energy Physics
• Beyond the Standard Model Physics
• +7 more

Carlo Dallapiccola is a Professor and Graduate Program Director in the Department of Physics at the University of Massachusetts Amherst, actively contributing to the ATLAS experiment at CERN's Large Hadron Collider. His research is central to advancing experimental particle physics through searches for new phenomena and precision measurements of Standard Model processes. University: University of Massachusetts Amherst School: College of Natural Sciences Department: Department of Physics Academic Rank: Professor Emails: carlod@physics.umass.edu, carlo.dallapiccola@cern.ch Location: Lederle Graduate Research Tower, Amherst, MA His research interests lie at the forefront of high-energy physics, focusing on experimental searches for physics beyond the Standard Model , particularly long-lived new particles that decay with displaced vertices, a signature of models like gauge-mediated supersymmetry breaking and dark sectors. He is deeply involved in the performance and upgrade of the ATLAS detector , including the muon spectrometer and the new inner tracker (ITk) for the High-Luminosity LHC. His work also encompasses Higgs boson physics , top quark studies , and precision electroweak measurements , all requiring advanced data analysis and detector calibration techniques. The recent articles highlight a strong trend toward precision Higgs physics , including searches for rare decays (H→μμ, H→ZZγ), Higgs self-coupling via pair production, and CP properties in tau decays. There is also a significant focus on exotic and beyond-Standard-Model signatures , such as leptoquarks and vector-like quarks, alongside the development of advanced data analysis methods using machine learning and neural simulation-based inference for parameter estimation and jet flavor tagging. His leadership is evident in collaborative efforts, with no individual scientific awards listed in the provided text. He advises graduate students as Graduate Program Director, fostering the next generation of physicists. His work is supported by major international collaborations and grants from agencies funding high-energy physics research, though specific grants are not detailed here. He is a key member of the ATLAS collaboration and has contributed to major detector upgrade projects like the New Small Wheel and the ITk. His research integrates data from the LHC with sophisticated computing frameworks, placing him at the heart of one of the largest scientific endeavors in history.

• Geomechanics
• Computational Mechanics
• Soil Liquefaction
• +7 more

Tien V. Nguyen is a Research Fellow in the Department of Civil & Environmental Engineering at Monash University, Faculty of Engineering. His research focuses on computational geomechanics, soil erosion, liquefaction, and advanced numerical modeling using Smoothed Particle Hydrodynamics (SPH). He actively contributes to high-impact journals in civil and computational engineering. His research interests include: Geomechanics and soil-structure interaction Numerical modeling of granular materials under seismic loading Internal and backward erosion in soils Machine learning applications in fracture and cracking prediction Development of SPH-based computational frameworks for large deformation problems Constitutive modeling (e.g., SANISAND) in geotechnical simulations Recent publications highlight a strong trend in combining physics-based simulations with data-driven methods to predict failure mechanisms in geotechnical systems, particularly under extreme conditions like earthquakes and seepage. His work bridges theoretical mechanics with practical civil engineering challenges. Dr. Nguyen has not been mentioned with any scientific awards in the provided text. There is no public information available regarding student supervision, grants, or advising roles. Similarly, no details are provided about labs, research teams, or collaborative groups he may lead or participate in.

Jiabi DuView profile

Assistant Professor

• Coastal Oceanography
• Climate Change Impacts
• Estuarine Hydrodynamics
• +3 more

Jiabi Du is an Assistant Professor at Texas A&M University at Galveston, specializing in coastal oceanography and environmental modeling. His research focuses on understanding how coastal systems respond to climate change, extreme weather events like hurricanes, and human activities, with particular emphasis on hypoxia, flooding, and habitat loss. He employs advanced numerical models and long-term observations to study processes such as pollutant dispersion and larval transport in estuaries. Dr. Du holds a Ph.D. in Physical Oceanography from the Virginia Institute of Marine Science (2017), an M.S. in Oceanography from Nanjing University (2012), and a B.S. in Physical Geography from Nanjing University (2010). His awards include the 2019 Institutional Postdoc Fellowship and recognition for academic excellence during his undergraduate and graduate studies. His research interests span coastal hydrodynamics, hurricane impacts, and microplastic transport. Notable contributions include studies on Galveston Bay's hydrodynamic responses to Hurricane Harvey and the role of baroclinic processes in estuarine flushing. He teaches courses in Physical Oceanography and computing. Awards: Best Student Paper (2018), Zengxianzi Scholarship (2007-2009), National Inspiration Scholarship (2007-2008). Labs/Teams: Coastal Modeling Group, Galveston Oyster Larvae Tracker Project. Future research directions include expanding microplastic pollution studies and investigating compounding climate-hurricane effects on coastal systems.

Shuai ZhaoView profile

Assistant Professor

• Power Electronics
• Reliability Engineering
• Machine Learning
• +4 more

Shuai Zhao is an Assistant Professor at the AAU Energy Department, Faculty of Engineering and Science, Aalborg University. His research focuses on applying machine learning and artificial intelligence techniques to enhance reliability and condition monitoring in power electronic systems, with specific interests in lifetime estimation, fault diagnosis, and health management of critical components like capacitors and semiconductor devices. Institution: Aalborg University School: Faculty of Engineering and Science Department: AAU Energy Email: szh@energy.aau.dk His research spans multiple domains including: Physics-informed machine learning for power converter systems Remaining useful life prediction with hybrid Bayesian deep learning Thermal transient analysis and stress emulation methods IoT-enabled monitoring schemes for semiconductor devices Neural network applications in lithium-ion battery prognostics Recent publications show a strong trend toward integrating domain-specific physics with machine learning frameworks to address real-world challenges in: Power electronics reliability under operational stress Anomaly detection in multivariate time-series data Robust fault diagnosis for railway traction systems Temperature estimation in electric vehicle motors Imbalanced data handling in diagnostic systems Capacitance degradation modeling under environmental factors Current projects demonstrate collaboration with leading institutions on: AI-assisted long-term maintenance strategies Physics-informed neural network architectures Smart agricultural monitoring systems via IoT platforms Advanced particle filter methods for life prediction

Christian WagnerView profile

Professor

• Fluid Dynamics
• Complex Fluids
• Biophysics
• +7 more

Prof. Dr. Christian Wagner is a Professor in the Department of Physics at Universität des Saarlandes, Faculty of Natural Sciences and Technology. He leads the Research Group for Dynamics of Fluids, focusing on complex and biological fluids, particularly red blood cells, granular matter, and non-equilibrium systems. His research integrates experimental techniques such as particle image velocimetry, rheometry, and optical tweezers. Research Interests: His work centers on understanding the self-organization and flow behavior of complex fluids, including polymers, gels, and blood. Key areas include red blood cell dynamics, aggregation, sedimentation, microfluidic transport, and the rheology of granular materials. He investigates both biological and synthetic systems under confinement and non-equilibrium conditions. Publication Trends: His recent publications (2023–2025) show a strong focus on red blood cell mechanics, with recurring themes in aggregation, deformability, sedimentation, and microcirculatory flow. Collaborative work with Prof. Lars Kaestner is prominent, and studies often bridge physics, biophysics, and clinical diagnostics. Techniques like microfluidics, optical tweezers, and rheometry are frequently employed. Scientific Awards: No awards are explicitly mentioned in the provided text. Advising and Grants: He supervises a large group of PhD and master’s students working on red blood cell dynamics, microfluidics, and granular flows. He leads or participates in major funded projects such as the DFDK doctoral school 'Living Fluids', the Research Unit FOR 2688 on pulsating flow instabilities (funded by DFG with €2.3 million), and the Interreg project PowderReg. These projects involve international collaboration and interdisciplinary research. Labs and Teams: His research group is based in Building E2.6 at Campus Saarbrücken, housing experimental setups for rheology, microfluidics, and optical manipulation. The team includes senior scientists, postdocs, PhD, and master’s students, and collaborates closely with other institutions in France, Luxembourg, Morocco, and beyond.

Kimberly A. Carter-FenkView profile

Assistant Professor

• Physical Chemistry
• Spectroscopy
• Interfacial Chemistry
• +4 more

Kimberly Carter-Fenk is a Teaching Assistant Professor in the Department of Chemistry at the University of Pittsburgh, joining the faculty in fall 2024. She teaches physical and general chemistry undergraduate courses and serves as the department's undergraduate research coordinator. Education BA in Chemistry, The College of Wooster (2016) PhD in Physical Chemistry, The Ohio State University (2021) Postdoctoral Fellowship, Stanford University (2022-2024) Research Interests Dr. Carter-Fenk applies spectroscopic and computational methodologies to investigate molecular organization at interfaces and ultrafast dynamics in complex solutions. Her research targets sustainable chemical approaches through atmospheric chemistry, particularly sea spray aerosol systems and interfacial phenomena. Specialized expertise includes air/water interface characterization, deep eutectic solvent dynamics, and ion-water network structural analysis using advanced spectroscopic techniques. Publication Trends Her 2018-2024 publications reveal consistent focus on interfacial chemistry and ultrafast spectroscopy , with dominant themes in sea spray aerosol surface mechanisms, concentrated electrolyte solutions, and organic film behavior. Work integrates physical chemistry with environmental sustainability across atmospheric, marine, and polymer systems. Scientific Awards CAS Future Leader (2023) Stanford Science Fellow (2022-2024) Excellence in Undergraduate Research Mentoring Award, The Ohio State University (2019) Preparing Future Faculty Fellow, The Ohio State University (2019) GAANN Graduate Research Fellow, The Ohio State University (2016-2017) Advising and Grants Recognized for exceptional undergraduate research mentorship, she implements inquiry-based learning to enhance student engagement. Research funding includes the Stanford Science Fellowship and GAANN Graduate Research Fellowship, supporting her work in sustainable chemical methodologies and interfacial dynamics. Labs and Teams Developed expertise in Prof. Heather Allen's lab (The Ohio State University) studying air/water interfaces, then advanced ultrafast spectroscopy techniques in Prof. Michael Fayer's group (Stanford). At Pitt, she coordinates undergraduate research initiatives while maintaining collaborations with atmospheric chemistry research teams.

• Biophysics
• Nanoscience
• Fluorescence Microscopy
• +3 more

G. Ulrich Nienhaus is a Professor at the Institute of Applied Physics , Karlsruhe Institute of Technology (KIT) , and leads a research group focused on Biophysics and Nanoscopy . His work integrates physics, biology, chemistry, and computational methods to develop advanced light microscopy techniques with high spatial and temporal resolution. Key research areas include fluorescent protein engineering , single-molecule spectroscopy , super-resolution microscopy , and nanoparticle-biomolecule interactions . His group investigates molecular processes in living cells , protein folding , ligand dynamics , and quantitative imaging for biomedical and material science applications. Scientific Contributions span decades, with recent work highlighting innovative STED microscopy methods, DNA origami-based distance rulers , and fluorescent nanocluster applications . Publications emphasize biomolecular dynamics , nanoparticle corona formation , and live-cell imaging tools .

Ulrik Skre FjordholmView profile

Professor

• Partial Differential Equations
• Computational Mathematics
• Nonlinear PDEs
• +2 more

Ulrik Skre Fjordholm is a Professor at the Department of Mathematics, University of Oslo, within the Faculty of Mathematics and Natural Sciences. His research focuses on Partial Differential Equations and Computational Mathematics , with specific emphasis on Nonlinear PDEs , Numerical Methods , and Hyperbolic Conservation Laws . His work addresses foundational and applied problems in conservation laws, including finite volume methods for networks, entropy stable schemes, and statistical solutions for turbulent flows. Key publications span convergence analysis , second-order methods , and nonlocal nonlinear systems . Recent projects include Irregularity and Noise in Continuity Equations (INICE) and collaborations with researchers like Kenneth Karlsen , Siddhartha Mishra , and Nils Henrik Risebro . His research group contributes to the understanding of measure-valued solutions and Onsager's conjecture , with applications in fluid dynamics and mathematical physics. He is affiliated with the Computational Mathematics and Partial Differential Equations research groups at the University of Oslo.

Sergio MaldonadoView profile

Researcher

• Environmental Fluid Mechanics
• Hydraulics
• Fluid Dynamics
• +3 more

Dr Sergio Maldonado is a researcher at the University of Southampton 's Faculty of Engineering and Physical Sciences , specializing in Environmental Fluid Mechanics and Hydraulics . He leads modules including Environmental Hydraulics and Flood Modelling and Mitigation while supervising PhD students in topics spanning sediment transport, coastal morphodynamics, and fluid-algae interactions. Education: PhD (Environmental Fluid Mechanics, University of Edinburgh), MSc (Hydraulic Engineering, UNAM), BSc (Mechanical Engineering, Tecnológico de Monterrey) Research Focus: His work addresses fundamental aspects of environmental hydraulics, with applications in: Sediment transport mechanics in open channels Coastal and river morphodynamics Fluid dynamics of algae systems Machine Learning for computational hydraulics Experimental fluid mechanics innovations Recent Publications demonstrate expertise in morphodynamic simulations, temperature measurement techniques, and physics-informed neural networks for shallow water equations. He actively supervises PhD students and contributes to interdisciplinary coastal risk reduction research.

• Fluid Dynamics
• Computational Fluid Dynamics
• Hypersonic Flows
• +5 more

Giuseppe Pascazio serves as a Full Professor in the Department of Mechanics, Mathematics & Management at the Polytechnic University of Bari, Italy. His research spans computational fluid dynamics with dual focus on aerospace applications and biomedical engineering, particularly in hypersonic flow phenomena and microwave ablation technologies for cancer therapy. His primary research interests include fluid dynamics, computational methods for high-enthalpy flows, thermochemical non-equilibrium modeling, turbulent boundary layer analysis, and biomedical device optimization. Pascazio develops advanced numerical techniques including high-order schemes, state-to-state kinetics implementations, and GPU-accelerated solvers to address complex flow physics in atmospheric entry and medical applications. His work bridges fundamental gas dynamics with practical engineering solutions for spacecraft thermal protection and minimally invasive cancer treatments. Analysis of his recent publications (2021-2025) reveals three dominant research thrusts: (1) High-fidelity simulation of hypersonic flows with detailed chemistry using state-to-state kinetics, (2) Development of robust numerical methods for shock-capturing in thermochemically non-equilibrium flows, and (3) Biomedical applications focusing on microwave ablation probe design and microcapsule transport in vascular systems. His aerospace work emphasizes atmospheric reentry physics while biomedical research targets cancer therapy optimization. Pascazio has participated in significant research projects including "PrInCE" (Innovative Processes for Energy Conversion) and "INNOVHEAD" (Advanced technologies for reduction of polluting emissions in Heavy Duty engines). His collaborative work involves industrial partnerships in aerospace and medical device sectors, though specific grant details beyond project names aren't provided. He maintains active research output with over 50 publications demonstrating consistent contributions to high-speed aerodynamics and biomedical fluid dynamics.

Katherine NewhallView profile

Professor

• Applied Mathematics
• Stochastic Differential Equations
• Dynamical Systems
• +5 more

Katherine Newhall is a Professor in the Department of Mathematics at the University of North Carolina at Chapel Hill, where she maintains an active research program in stochastic modeling and dynamical systems. Her office is located in Phillips Hall 308, and she can be reached at knewhall@unc.edu. She serves as a member at large of the GSNP (Group on Statistical and Nonlinear Physics) board, a position she assumed in April 2024. Dr. Newhall earned her educational credentials from Rensselaer Polytechnic Institute, including a B.S. in Applied Physics and Applied Mathematics (2004), an M.S. in Mechanical Engineering (2006) with thesis entitled 'Turbulent Boundary Layers: A look at Skin Friction, Pressure Gradient and Surface Roughness,' and a Ph.D. in Mathematics (2011) with dissertation 'Synchrony in Stochastically-Driven Neuronal Network Models.' Following her doctoral work, she completed postdoctoral research at New York University's Courant Institute of Mathematical Sciences from 2011 to 2014. Her research focuses on developing new tools for analyzing large and infinite dimensional stochastic systems to understand large-scale and long-time dynamics of physical and biological systems. Rather than relying on traditional Fokker-Planck formulations that become intractable with increasing complexity, her work builds on concepts of statistical mechanics to create macroscopic descriptions from individual unit statistics. This approach extends the usefulness of energy landscapes even in non-gradient systems, enabling explanations of experimentally observable phenomena while exposing fundamental mechanisms responsible for system behavior. Her work spans applications from granular materials and chromosome dynamics to biological systems and metamaterials. Dr. Newhall's publications demonstrate consistent advancement in stochastic modeling techniques, with recent work (2023-2025) focusing on hyperuniformity in biological structures, energy landscape sampling methods, and the role of weak transient interactions in biological systems. Her research shows a clear trajectory from fundamental mathematical developments toward increasingly sophisticated biological applications. Outstanding Referee of the Physical Review journals (2019) NSF grant DMS-1816394 DMREF grant ($2M NSF Grant to Revolutionize Materials, 2023) Member at large of the GSNP board (2024) Dr. Newhall has successfully mentored numerous PhD students to completion, including Anna Coletti (2024), Daftari (2023), Moakler (2021), Ben Walker (2021), and Yuan Gao (2019). Her research is consistently supported by competitive grants, most notably the $2M NSF DMREF grant awarded in 2023. She maintains active collaborations across disciplines, particularly in applying mathematical techniques to biological problems such as chromatin organization and organ transplantation risk assessment. Her laboratory work focuses on developing computational methods for analyzing complex stochastic systems, with particular emphasis on the hydra string method for exploring high-dimensional potential energy surfaces. The research group maintains strong connections with both theoretical and experimental collaborators working on granular materials, chromosome dynamics, and biological systems.

Edmund SpencerView profile

Associate Professor

• Space Plasma Physics
• Space Weather
• Radio Frequency Instrumentation
• +3 more

Dr. Edmund Spencer is an Associate Professor in the Department of Electrical and Computer Engineering at the University of South Alabama , with research focused on space plasma physics and space weather . He designs advanced instruments for space science, develops theoretical frameworks for plasma characterization, and applies stochastic optimization algorithms to complex systems. Ph.D. Electrical and Computer Engineering, University of Texas at Austin M.S. Electrical and Computer Engineering, University of Texas at Austin B.S. Electrical and Electronics Engineering, University of Leicester, UK His work bridges space instrumentation with nonlinear magnetospheric dynamics , particularly in geomagnetic substorms and solar wind-earth magnetosphere interactions . Current projects include onboard space weather modules for satellites and advanced antenna systems for CubeSats . Recent research trends from his 15 most recent publications (2019-2025) include: Development of time-domain impedance probes for ionospheric electron density measurements Applications of machine learning in substorm prediction Hybrid physics-black-box modeling for Dst index forecasting Advanced antenna designs for small satellites 3D Particle-in-Cell simulations for RF instruments Collisional effects in plasma probe measurements Scientific contributions include: NSF CAREER Award (2013) for RF impedance probe development Key role in NASA's USIP CubeSat missions (e.g., JAGSAT I) Leveraging WINDMI model for substorm dynamics analysis He teaches graduate and undergraduate courses in electromagnetics and stochastic processes , contributing to the department's space science integration in engineering education.