جست‌وجوی استاد و پژوهشگر

Maria Vetleseter Bøeمشاهده پروفایل

دانشیار

• Physics Education
• Science Education
• Quantum Physics Teaching
• +۶ مورد دیگر

Maria Vetleseter Bøe is an Associate Professor of Physics Education at the University of Oslo's Department of Physics, affiliated with the Faculty of Mathematics and Natural Sciences. She holds a 25% position at the Norwegian Centre for Science Education. Her research focuses on physics and science education, including student motivation, quantum physics pedagogy, curriculum development, and gender issues in STEM education. She has led projects like IMPEL (Interactive Engagement in Physics Learning) and ReleQuant (Quantum Physics Education Resources). Dr. Bøe earned a Cand. Scient. in theoretical physics from NTNU (1997-2004) and a PhD in science education from the University of Oslo (2006-2011). She previously worked at the Norwegian Centre for Science Education (2011-2016) and as an advisor at MOT (2004-2006). She received the King's Gold Medal (2013) and serves on national education committees, including the Norwegian Research Council's Young Scientists Competition jury. Her teaching includes courses like NAT4010 (Science Education for Grades 8-13), FYS2140 (Quantum Physics), and teacher training programs. She explores innovative teaching methods, remote learning during the pandemic, and student identity development in STEM. Her work bridges educational research with practical classroom applications, emphasizing student-centered approaches and teacher professional development.

• Sustainable Materials Management
• Circular Economy
• E-Waste Recycling
• +۳ مورد دیگر

Amit Barnwal is a Research Fellow at Chalmers University of Technology's Department of Chemistry and Chemical Engineering. His work focuses on sustainable management of e-waste, particularly Li-ion battery recycling, circular economy principles, and resource recovery. He developed an indigenous hydrometallurgical recycling technology for Li-ion batteries at India's C-MET, scaled to TRL-6 and transferred to 15 industries. His research integrates environmental science, metallurgy, and engineering to address global e-waste challenges. Previously, he worked as a research scientist at C-MET, Hyderabad, India, where he pioneered methods for extracting lithium, cobalt, manganese, and nickel from discarded batteries. His expertise spans printed circuit board recycling, rare earth recovery from hard disc drives, and thermal/flotation-based metal extraction. Key contributions include advancing solvent-extraction routes for battery materials and optimizing fluidization processes for electronic scrap processing. Research interests emphasize waste-to-wealth initiatives, hydrometallurgical innovation, and sustainable industrial practices. His work bridges academic research and industrial application, aiming to create scalable solutions for critical resource recovery from electronic waste streams.

Jennifer Duanمشاهده پروفایل

استاد

• Hydraulics
• Sediment Transport
• Fluvial Geomorphology
• +۵ مورد دیگر

Jennifer Duan is a Professor with a joint appointment in the Department of Hydrology and Atmospheric Sciences and the Department of Civil Engineering and Engineering Mechanics at the University of Arizona. Her research focuses on hydraulics, sediment transport, and fluvial geomorphology, with expertise in experimental studies and computational modeling of turbulent flow, sediment transport dynamics, and channel morphological processes. Dr. Duan holds a PhD in computational hydroscience and engineering from the University of Mississippi. She leads research initiatives addressing water quality modeling, surface-groundwater interactions, and the application of advanced technologies like drone-based monitoring for discharge estimation. Her work integrates field experiments, numerical simulations, and machine learning to solve complex environmental and engineering challenges. Notably, she has pioneered studies on post-wildfire hydrological impacts, sediment transport in vegetated channels, and pathogen resuspension in irrigation systems. She also actively mentors early-career professionals through initiatives like the Mentoring Institute for Sediment Transport (MIST). Dr. Duan’s contributions span interdisciplinary applications, including flood fragility analysis for infrastructure resilience and net-zero urban water systems. Her research has direct implications for sustainable water management, environmental restoration, and disaster mitigation.

Dagmar Haumannمشاهده پروفایل

استاد

• English Linguistics
• Historical Linguistics
• Syntax
• +۵ مورد دیگر

Dagmar Haumann is a Professor of English Linguistics at the Department of Foreign Languages at the University of Bergen. Her research focuses on historical linguistics, syntax, morphology, and language acquisition, with a particular emphasis on diachronic processes such as reanalysis, grammaticalization, and syntactic change in English. She has extensively studied adverbial structures, tough-constructions, and corpus-based methodologies. Haumann’s academic contributions include over 30 publications, including monographs, edited volumes, and peer-reviewed articles. Notable works include The Development of Speaker-Oriented Adverbs in English (2025) and Digitally-assisted Historical English Linguistics (2023). Her research often combines theoretical frameworks with empirical corpus data, addressing topics like argument structure changes, modal particles, and multilingualism. She has supervised numerous master’s theses and doctoral dissertations on topics ranging from Norwegian L2 learners’ challenges to historical syntactic phenomena. Her work frequently collaborates with scholars like Kristin Killie and Matthias Eitelmann, exploring reanalysis mechanisms and diachronic variation in English. Haumann’s teaching and supervision emphasize cognitive linguistic principles and practical applications of corpus linguistics in language education. She is an active participant in international conferences, contributing to discussions on language change methodologies and digital humanities approaches in linguistics.

Christopher Tunnellمشاهده پروفایل

دانشیار

• Astroparticle Physics
• Dark Matter Detection
• Neutrino Physics
• +۴ مورد دیگر

Christopher Tunnell is an Associate Professor in the Department of Physics and Astronomy at Rice University, holding the William Marsh Rice Trustee Chair. He specializes in astroparticle physics, focusing on dark matter detection and neutrino physics. His research involves developing advanced detectors like XENONnT and contributing to projects such as DUNE. Tunnell holds a BS in Physics from the University of Texas at Austin and a DPhil in Particle Physics from the University of Oxford. His work integrates data science and machine learning to analyze signals from Earth-based detectors, aiming to uncover dark matter in the galactic halo. Key contributions include innovations in detector technology, statistical inference methods, and collaborations on neutrino experiments. Tunnell is part of Rice's Data Science Initiative and actively participates in international collaborations like DUNE and XENON. Recent publications emphasize advancements in XENONnT’s WIMP search, DUNE’s detector design, and neutrino interaction studies using deep learning. His research also addresses challenges like radon removal and background reduction in experiments. Tunnell’s work bridges particle physics, computational methods, and experimental engineering to advance understanding of fundamental cosmic phenomena.

Anela Choyمشاهده پروفایل

دانشیار

• Deep-Sea Biology
• Ecosystem Dynamics
• Environmental Toxicology
• +۳ مورد دیگر

Anela Choy is an Associate Professor in the Integrative Oceanography Division at the Scripps Institution of Oceanography, UC San Diego. Her research focuses on deep-sea biology, ecosystem dynamics, and environmental toxicology, with expertise in pelagic food web structure, mercury bioaccumulation, and microplastic pollution impacts. She holds a PhD in Oceanography (2013), M.Sc. (2008), and B.A. (2004) from the University of Hawaii. Her work integrates stable isotope analysis, DNA metabarcoding, and eDNA methods to study organic matter flow, predator-prey interactions, and the effects of environmental change and fishing on marine ecosystems. Notable research includes investigating mercury in tuna, microplastic distribution in food webs, and the role of gelatinous organisms in midwater ecosystems. Key contributions address global environmental policies like the Minamata Convention, pollution monitoring via bioindicators, and promoting diversity in ocean sciences through initiatives like Ho‘okele ka Wa‘a. She leads the Choy Lab and collaborates on projects such as the SiphWeb database and DEEPC cruises.

• Laser-Matter Interactions
• Nonlinear Optics
• Plasma-Based Accelerators
• +۳ مورد دیگر

John Palastro holds dual roles as Assistant Professor in the Department of Mechanical Engineering and Associate Professor in the Institute of Optics at the University of Rochester. He also serves as Plasma Theory Group Leader and Senior Scientist at the Laboratory for Laser Energetics (LLE). His research focuses on laser-matter interactions, nonlinear optics, and plasma-based accelerators, with particular emphasis on advancing inertial confinement fusion and ultra-high-intensity laser technologies. Dr. Palastro’s work bridges fundamental plasma physics and applied engineering, aiming to optimize laser-driven systems for energy applications, radiation sources, and particle acceleration. He has pioneered techniques for flying-focus pulse control, plasma wakefield acceleration, and mitigating laser-plasma instabilities. His contributions include experimental design for next-generation fusion facilities and theoretical advancements in relativistic optics. Awards : Recipient of the Thomas H. Stix Award for early-career excellence in plasma physics research. Labs/Teams : Leads the Plasma Theory Group at LLE, collaborating with national labs and international institutions on high-energy density physics projects.

• Model-Driven Formulation Engineering
• Digital Manufacturing
• Industry 4.0
• +۹ مورد دیگر

Dr. Estefania Lopez-Quiroga is an Associate Professor at the University of Birmingham's School of Chemical Engineering, specializing in Model-Driven Formulation Engineering. She leads the Centre for Doctoral Training in Formulation Engineering for Net Zero and coordinates Industry 4.0 modules for MSc programs. Her work integrates computational tools with process engineering to advance sustainable manufacturing in food, pharma, and FMCG sectors. Education: MEng in Mining Engineering, MSc in Mathematical Engineering, PhD in Applied Mathematics. She holds Fellow of the Higher Education Academy (FHEA) credentials. Research focuses on digital manufacturing, Industry 4.0 applications, and sustainable production. Key areas include model-based approaches for crystallization, freeze-drying, and production-scale optimization. Her work bridges soft matter physics with engineering solutions for product performance and process efficiency. Publications highlight sustainability assessments across production scales, energy-efficient processes, and computational modeling innovations. Awarded the IChemE Hutchison Medal 2020 for groundbreaking work on decentralized food manufacturing. Teaching responsibilities include undergraduate plant optimization and postgraduate Industry 4.0 modules. Supervises PhD/EngD students in formulation engineering, emphasizing real-world industrial collaboration. Labs/Teams: Active in the EPSRC Centre for Doctoral Training in Formulation Engineering, collaborating with industry partners on scalable and sustainable manufacturing solutions.

Marie-Therese Wolframمشاهده پروفایل

استاد

• Applied Partial Differential Equations
• Mathematical Modeling in Socio-Economic and Life Sciences
• Inverse Problems
• +۴ مورد دیگر

Professor Marie-Therese Wolfram holds a faculty position at the Mathematics Institute of the University of Warwick. Her research focuses on applied partial differential equations, mathematical modeling in socio-economic and life sciences, and inverse problems. She is actively involved in organizing international workshops and serves on editorial boards for journals like ESAIM M2AN and Kinetic and Related Models. Her academic journey includes grants such as the Royal Society International Exchange (2022-2024) and the EPSRC First Grant (2017-2019). Notable awards include the Excellence in Gender Equality Award (2023) and the Whitehead Prize (2023). She co-leads the EDI committee at Warwick and contributes to initiatives like the Young Academy of the Austrian Academy of Sciences. Her research spans opinion dynamics, crowd modeling, and optimal transport theory. Recent work explores consensus-breaking in social networks and applications of mean-field games to knowledge growth. She collaborates internationally on projects such as the 'Multiscale Modelling of Crowded Transport' and the 'Wasserstein Gradient Flows' initiative. Teaching responsibilities include MA265 Methods for Mathematical Modelling and MA4M2 Inverse Problems. Her work bridges theoretical analysis with practical applications, reflecting her dual expertise in pure mathematics and interdisciplinary modeling.

Laura Newburghمشاهده پروفایل

استادیار

• Astrophysics
• Cosmology
• Particle Physics
• +۳ مورد دیگر

Laura Newburgh is an Assistant Professor of Physics at Yale University, affiliated with the Department of Physics and Wright Lab. Her research focuses on experimental cosmology, including projects like the Canadian Hydrogen Intensity Mapping Experiment (CHIME), the Hydrogen Intensity Mapping and Real-time Analysis eXperiment (HIRAX), and the Simons Observatory. She specializes in observational studies of the Cosmic Microwave Background (CMB) and 21cm cosmology to probe Dark Energy, Dark Matter, and cosmic inflation. Education: Ph.D. in Physics from Columbia University (2010), postdoctoral fellowships at Princeton University and the University of Toronto. Current roles include leading the Newburgh Lab, which develops instruments for cosmological surveys. Awards include the NSF Career Award (2018) and collaborative prizes like the Buchalter Prize (2025) and Berkeley Prize (2021). Her work bridges hardware, software, and data analysis, emphasizing novel calibration methods (e.g., drone-based beam mapping). The Newburgh Lab also supports educational initiatives like the Pathways to Science program, fostering student engagement in radio astronomy.

Joana Fonsecaمشاهده پروفایل

مدرس ارشد

• Geotechnical Engineering
• Multiscale Mechanics
• Image-Based Geotechnics
• +۱۱ مورد دیگر

Dr. Joana Fonseca is a Senior Lecturer in Geotechnical Engineering at City St George's, University of London, within the Department of Civil Engineering in the School of Mathematics, Computer Science and Engineering. She holds a PhD from Imperial College London and has extensive research experience in multiscale geomechanics, image-based characterization, and granular media behavior. Her research interests include: Multiscale mechanics Image-based geotechnics using X-ray tomography and microscopy Experimental geomechanics of soils and rocks Micromechanics of granular media Centrifuge modelling Localized deformation and grain breakage Characterization of semi-solid alloys Her recent publications focus on advanced imaging techniques to understand soil fabric evolution, particle-scale interactions in sand-rubber mixtures, and microstructural modeling of carbonate sands for offshore foundations. These works span disciplines from geotechnical engineering to materials science, emphasizing computational and experimental integration. Scientific honors include: Chartered Member, Portuguese Institution of Engineers Principal Investigator on EPSRC-funded MuMShell project (2016) Associate Editor, Canadian Geotechnical Journal Member, Advisory Panel of Géotechnique She has advised several research students including Sadegh Nadimi, Deqiong Kong, and Ciaran Kennedy. She teaches core civil engineering courses such as Soil Mechanics (CV2401), Geotechnical Engineering (CV3401), and the Major Project (CVM412). She also serves as Guest Editor for special issues on image-based geotechnics and women in the built environment. Her research lab integrates advanced imaging, computational modeling, and experimental techniques to study geomaterials across scales, with applications in offshore engineering, sustainable construction, and materials science.

• Aerodynamics
• Turbulent Flow Analysis
• Particle Image Velocimetry (PIV)
• +۹ مورد دیگر

Stefano Discetti is a Full Professor in the Department of Aerospace Engineering at Universidad Carlos III de Madrid, leading the Aerospace Engineering Research Group. His work bridges experimental fluid dynamics, machine learning, and flow control. Key research themes include turbulence characterization, heat transfer enhancement, and advanced measurement techniques like PIV/PTV. He has developed data-driven methods for flow estimation, sensor placement optimization, and physics-informed neural networks. Research Trends from his publications show a focus on: Machine learning for turbulent flow reconstruction (GANs, CNNs, KNN) Non-intrusive sensing from wall measurements Manifold learning and reduced-order modeling Heat transfer control via plasma actuators and passive structures Time-resolved diagnostics using hybrid experimental/numerical approaches Projects include principal roles in EU and national grants like NEXTFLOW (2021-2026) and EXCALIBUR (2023-2026), with industry collaborations at Airbus and TU Delft.

• Experimental Particle Physics
• High-Energy Physics
• Higgs Boson Physics
• +۱۰ مورد دیگر

Emmerich Kneringer is an Associate Professor at the Institute for Astro- and Particle Physics, Faculty of Mathematics, Computer Science and Physics, University of Innsbruck. He is a key member of the Experimental Particle Physics research group and actively contributes to the ATLAS collaboration at CERN. His research focuses on experimental high-energy physics, particularly Higgs boson physics, top quark physics, electroweak interactions, and searches for physics beyond the Standard Model, including supersymmetry, dark matter, and exotic particles. He also works on advanced data analysis methods such as neural simulation-based inference and machine learning applications in particle physics. Dr. Kneringer's recent publications (2023–2025) show a strong trend in precision measurements (e.g., Higgs and top properties), combination of search results, and innovative analysis techniques. His work spans detector performance, cross-section measurements, and searches for new phenomena in proton-proton and heavy-ion collisions. He is actively involved in public outreach, delivering lectures on astronomy, cosmic radiation, and particle physics to schools and the public, including events like Masterclasses and the Long Night of Research. Experimental Particle Physics Higgs and Top Quark Physics Machine Learning in Physics Beyond Standard Model Searches Heavy-Ion Physics Dr. Kneringer has no listed scientific awards in the provided text. He advises no named students in the material. His research is conducted within the ATLAS collaboration, a large international team at CERN, and he contributes to both physics analysis and detector performance studies. He also participates in educational initiatives, including public lectures and training programs.

Bo Bernhardssonمشاهده پروفایل

استاد

• Automatic Control
• Control Theory
• Modeling and Control of Uncertain Systems
• +۱۷ مورد دیگر

Bo Bernhardsson is a Professor in Automatic Control at the Department of Automatic Control, Faculty of Engineering (LTH), Lund University. He has been a full-time professor at Lund since 2010, following a decade (2001–2010) as an Expert in Mobile System Design and Optimization at Ericsson. He is affiliated with major research initiatives including ELLIIT (Excellence Center in Information Technology), LCCC (Lund Center for Control of Complex Engineering Systems), and WASP-AS (Wallenberg AI, Autonomous Systems and Software research school), where he has played a leadership role since 2016. His research focuses on modeling and control of uncertain and large-scale systems, with applications spanning industrial automation, mobile communications, particle accelerators, biomedical systems, and navigation technologies. He integrates theoretical control methods with practical implementations, particularly under constraints such as communication limitations, noise, and delays. His recent publications reveal a strong trend in networked control, communication-constrained estimation, and optimization-based control design. The works span theoretical advances in signal estimation under SNR constraints, event-based and stochastic control, and practical applications like IMU-radio fusion for navigation and RF field control in particle accelerators. Keywords include Control Theory, Communication Systems, Optimization, Signal Processing, and Networked Control , with subfields such as encoder-decoder co-design, virtual antenna arrays, and dynamic programming for time-delay systems. PhD in Control, Lund University, 1992 Professor in Automatic Control, Lund University, since 1999 Expert, Mobile Systems, Ericsson, 2001–2010 Bo Bernhardsson has supervised over 20 PhD and licentiate students, including Jacob Bergstedt (immune system modeling), Anders Mannesson (navigation and radio), and Erik Johannesson (control under communication constraints). His research has been funded by major entities such as the European Spallation Source and the Wallenberg Foundation. He teaches advanced courses in Linear Systems, Convex Optimization, and Robust Control, and has contributed significantly to both academic and industrial advancements in control engineering. He leads and collaborates on interdisciplinary projects involving real-time control, autonomous systems, and machine learning, often in partnership with industry and international research centers. His work in the RobotLab at LTH and on cloud-based control systems highlights his engagement with emerging technologies.

• Computational Rock Mechanics
• Mining Engineering
• Geomechanics
• +۵ مورد دیگر

Associate Professor Murat Karakus holds a position in the School of Chemical Engineering at the University of Adelaide, specifically within the Mining and Petroleum Engineering department. His academic role involves teaching and research in advanced geomechanical topics. He is eligible to supervise Master's and PhD students in disciplines related to rock mechanics, mining engineering, and computational modeling. Research interests focus on computational rock mechanics , fracture process zone modeling , rock burst analysis , and 3D printed construction materials . His work integrates experimental techniques (e.g., AUSBIT testing, hydraulic fracturing analysis) with numerical methods (e.g., SPH modeling, machine learning). Recent publications emphasize dynamic rock failure mechanisms, energy-based failure criteria, and material behavior under cyclic loading. Key applications include improving mine safety through strain burst prediction and optimizing cemented paste backfill systems in underground operations. No awards are explicitly listed, though his active research contributions suggest potential recognition in geomechanics fields. Advising and grants: While no specific grants are documented, his eligibility to supervise indicates ongoing research projects. No lab or team affiliations are explicitly mentioned.