جست‌وجوی استاد و پژوهشگر

John R. Thompsonمشاهده پروفایل

استاد

• Physics Education Research
• Mathematics-Physics Interface
• Thermodynamics
• +۵ مورد دیگر

John R. Thompson is a Professor of Physics at the University of Maine , where he has been a member of the Physics Education Research Laboratory since 2002. He holds a joint appointment with the Maine Center for Research in STEM Education and serves as a Cooperating Professor of STEM Education. His career spans faculty roles at Grand Valley State University (2000-2002) and a postdoctoral position at the University of Washington (1997-1999). He earned a Ph.D. in Physics (1998) and M.S. (1992) from Brown University, and a B.S. in Physics (cum laude) from Rensselaer Polytechnic Institute (1990). Thompson’s research focuses on Physics Education Research (PER) , particularly at the mathematics-physics interface . He investigates student understanding of: Vector calculus and differential elements in electromagnetism Thermodynamics and statistical mechanics Eigenvalue equations and probability in quantum mechanics Calculus applications (Taylor series, Fundamental Theorem, partial derivatives) Graphical representation interpretation in kinematics His work employs network analysis , symbolic forms theory , and conceptual blending to map student reasoning. Notably, his 2024 articles examine probability in quantum contexts through symbolic network analysis, while 2023 studies focus on context-dependent equation construction. Thompson has received prestigious accolades including Fellow of the American Physical Society (2023) , Outstanding Referee (2020), and a Fulbright Scholar award (2008-2009). He co-founded the American Physical Society’s Topical Group on Physics Education Research (GPER) and served as its Chair (2018). As Chair of the University of Maine’s Physics Department (2017-2022, 2023-present), he has shaped institutional academic policy. His educational initiatives include research-based tutorials for entropy, Taylor series, and heat engines, which showed improved student performance over lecture-only methods. He collaborates nationally on NSF-funded projects like DUE-1551038 to transform undergraduate STEM education.

Mrinal K. Senمشاهده پروفایل

استاد

• Seismic Wave Propagation
• Full Waveform Inversion (FWI)
• Uncertainty Quantification
• +۵ مورد دیگر

Mrinal K. Sen is a Professor and the Jackson Chair in Applied Seismology at the University of Texas at Austin. He is affiliated with the University of Texas Institute for Geophysics (UTIG), where he has served as Interim Director (2017–2018) and Associate Director (2016–2020). His research focuses on seismic wave propagation, full waveform inversion (FWI), uncertainty quantification, and physics-assisted machine learning for geophysical applications. Ph.D., University of Hawaii at Manoa M.S., Indian Institute of Technology B.S., Indian Institute of Technology Sen's work spans seismic inversion algorithms, finite difference methods, and trans-dimensional MCMC for FWI. He applies machine learning to unconventional reservoir characterization and seismic data analysis, integrating high-performance computing and physics-based constraints. His recent publications highlight hybrid quantum neural networks, Bayesian frameworks, and deep learning for FWI and noise reduction. Scientific awards include the Virgil Kauffman Gold Medal and Honorary Membership in SEG . His research is supported by collaborations with the Bureau of Economic Geology, Department of Earth and Planetary Sciences, and Center for Planetary Systems Habitability.

Xavier Antoineمشاهده پروفایل

استاد

• Mathematical analysis of wave scattering problems
• Numerical analysis of PDEs
• Scientific computing
• +۲ مورد دیگر

Xavier Antoine is a Full Professor in applied and computational mathematics at the Institut Elie Cartan de Lorraine (IECL) , Université de Lorraine, and a member of the Inria team SPHINX . He leads the associated team BEC2HPC focused on Bose-Einstein Condensates simulation. Research Focus : Mathematical and numerical analysis of wave scattering problems (Helmholtz, Maxwell, Klein-Gordon), quantum mechanics (Schrödinger/Gross-Pitaevskii), and fractional/nonlocal PDEs. Methodologies : Absorbing boundary conditions, perfectly matched layers, high-order approximation schemes, domain decomposition methods, and structure-preserving algorithms. His recent work includes advancements in fractional gradient flows for nonlinear Schrödinger equations and domain decomposition solvers for acoustic problems. He collaborates on multidisciplinary projects involving computational physics and engineering. Current Roles : Attaché pour la Science et la Technologie at the French Embassy in Beijing (since 2022), and former Head of IECL (2015-2020). He also served as a Scientific Advisor at the French National Agency for Research (ANR).

Xavier Begaudمشاهده پروفایل

استاد

• Antenna Design
• Metamaterials
• Radar Absorbing Materials
• +۷ مورد دیگر

Xavier Begaud is a Professor at Telecom Paris within Institut Polytechnique de Paris, affiliated with the Communications and Electronics (Comelec) Department of the Information Processing and Communication Laboratory (LTCI). He joined Telecom Paris in 1998 and led the RF & Microwave group from 2013 to 2017, currently serving as a core member of the Radio Frequency and Microwaves (RFM²) research team. His work bridges theoretical and applied electromagnetics with strong industry collaboration. Educational background: B.S. in Telecommunication, University of the South, Toulon-Var (1988) M.S. in Optics, Optoelectronics and Microwaves, Institut National Polytechnique de Grenoble (1989) Ph.D. in Electronic and Communications, University of Rennes 1 (1996) Habilitation in Electrical Engineering, Pierre and Marie Curie University (Paris 6) (2007) His research centers on advanced antenna systems with emphasis on metamaterial applications. Key areas include wideband/dual-polarized antenna design, transformation optics for radiation control, and radar absorbing materials (RAM) development. Current work targets 5G/6G communication systems, UAV detection radar, and space applications requiring lightweight electromagnetic absorbers operating from GHz to millimeter waves. He employs numerical methods for modeling antennas over artificial magnetic conductors and defected ground structures. Analysis of recent publications reveals three dominant trends: (1) Metasurface-enabled beam steering for multi-band 5G antennas, (2) Ultra-wideband metamaterial absorbers using composite materials for space/naval applications, and (3) EMF exposure reduction in mobile devices through metamaterial integration. His group consistently applies transformation optics to manipulate radiation patterns and develops multi-sector absorbers with oblique incidence tolerance. Scientific Awards No specific awards, fellowships, or medals were documented in the source material. Advising and Grants Though individual students aren't listed, his supervision is evidenced by 250+ publications. He chaired Meta’12 and AES 2012 conferences and co-edited books on ultra-wideband antennas. Current grant activities include the NF-PERSEUS project (2023-2024) for 6G research and past Orange contracts (2013-2014) developing low-exposure wireless components for D4.1/D4.2 reports. Labs and Teams RFM² (Radio Frequency and Microwaves) research team at LTCI COMELEC Department specializing in communications systems Key development of SAFAS (Self-Complementary Connected Antenna Array with Low Signature) for stealth applications Active collaboration with CNES, DGA, and ONERA on radar-absorbing composites

Edison Liangمشاهده پروفایل

استاد

• Relativistic Plasma Physics
• High Energy Density Physics
• High-Energy Astrophysics
• +۳ مورد دیگر

Rice University Professor Edison Liang is the Andrew Hays Buchanan Professor of Astrophysics and a faculty affiliate of the Rice Space Institute. Holding a joint appointment in the Department of Physics & Astronomy, he has pioneered research in relativistic plasma physics , high energy density physics , and high-energy astrophysics , with applications to antimatter creation and laser-plasma interactions . Education: BA (1967) and PhD (1971) in Physics from UC Berkeley Academic Career: Assistant Professor at Michigan State and Stanford, followed by leadership roles at Lawrence Livermore National Laboratory before joining Rice in 1991 His research focuses on relativistic plasma dynamics and computational fluid dynamics , with experimental and theoretical projects involving laser-plasma interactions and high energy density laboratory astrophysics. Over 300 publications in refereed journals reflect his contributions to cosmology , plasma physics , and nuclear fusion . Scientific recognition includes: Fellow of the American Physical Society British SRC Senior Visiting Scientist Fellowship University of California Science Fellowship Anthony Scholarship Current advisees include graduate students Kyle Perez and Brandon Cage , with recent PhD graduates Guy Hilburn (2012), Alexander Henderson (2015), Tilak Dhakal (2017), and Yingchao Lu (2020). He leads the Plasma Group at Rice and has co-organized the High Energy Density Laboratory Astrophysics conference series.

Lars Mandrupمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Signal Processing
• Machine Learning
• +۵ مورد دیگر

Lars Mandrup is an Associate Professor in the Department of Electrical and Computer Engineering at Aarhus University, specializing in Signal Processing and Machine Learning. He serves as the Unions Representative for DM and is a member of LSU and LAMU. His primary responsibilities include educating Diploma and Master Engineers in Biomedical Engineering. Mandrup's research expertise lies in Physics, Mathematics, and Biophysics, with a strong focus on Biomedical Engineering. He applies Computational Fluid Dynamics (CFD) to Magnetic Resonance data for cardiovascular modeling, including blood flow analysis and mitral valve mechanics. Additionally, he is a key contributor to Electromagnetic Compatibility (EMC) research, developing foundational educational materials and advancing EMC testing standards and methods. His publication record shows a clear interdisciplinary trajectory, merging engineering with medical applications. Key themes include CFD-based cardiovascular simulations and EMC education. The biomedical work leverages MRI data to model complex physiological processes, while the EMC contributions span theoretical principles to practical testing standards, reflecting a commitment to both academic and industrial relevance. No scientific awards were mentioned in the provided information. Mandrup actively mentors students in Biomedical Engineering programs and serves as a PhD examiner. He is a member of the EMC group within the TUR Network for Electronics and Information Technology, which drives curriculum development in EMC education across Danish engineering institutions. He is affiliated with the EMC group (EMC-gruppen), dedicated to advancing EMC education and professional development. This group collaborates within the TUR Network to enhance teaching materials and methodologies for EMC courses.

• Multifunctional Materials
• Embedded Sensing
• Inverse Problems
• +۲ مورد دیگر

Tyler Tallman is an Associate Professor in the School of Aeronautics and Astronautics at Purdue University. His research focuses on multifunctional materials, embedded sensing, and inverse problems, with applications in smart structures and nondestructive evaluation. He holds a PhD in Mechanical Engineering from the University of Michigan (2015) and has received multiple awards, including the NSF CAREER Award (2023) and the Elmer F. Bruhn Teaching Award (2016). His work integrates advanced materials with cutting-edge methods like electrical impedance tomography and machine learning for structural health monitoring. Education: BS in Physics and Mathematics, University of Wisconsin-Eau Claire, 2010 BS in Engineering Mechanics, University of Wisconsin-Madison, 2010 MS in Mechanical Engineering, University of Michigan, 2012 PhD in Mechanical Engineering, University of Michigan, 2015 Research Interests: Development of self-sensing materials for real-time damage detection Integration of inverse problem techniques with machine learning Advanced manufacturing of multifunctional composites Applications in aerospace, biomedical, and structural systems Awards: National Science Foundation CAREER Award (2023) Air Force Office of Scientific Research Young Investigator Program Award (2023) Faculty Excellence Award for Early Career Teaching (2021) Elmer F. Bruhn Teaching Award (2016) Grants & Labs: Principal Investigator of NSF CAREER Grant for inverse mechanics research Lead of TNTLabs (Tallman NanoTechnology Lab) at Purdue Air Force Summer Faculty Fellowships (2022–2023) Labs/Teams: His TNTLabs specialize in smart materials, embedded sensing systems, and advanced composites research.

Mahdi Haddadمشاهده پروفایل

عضو هیئت علمی

• Reservoir Geomechanics
• Subsurface Electromagnetic Monitoring
• Hydraulic Fracture Modeling
• +۳ مورد دیگر

Dr. Mahdi Haddad is a Research Assistant Professor at the Bureau of Economic Geology (BEG) within the Jackson School of Geosciences at The University of Texas at Austin. His expertise spans reservoir geomechanics, subsurface electromagnetic monitoring, hydraulic fracture modeling, and induced seismicity. He leads the revitalized BEG Rock Mechanics Lab and oversees projects at the Advanced Energy Consortium (AEC) lab and Devine Field Test Site (DFTS). His work focuses on developing diagnostic technologies to mitigate risks in subsurface energy operations, including CO2 storage, hydraulic fracturing, and fault reactivation analysis. Education: B.S. in Mechanical and Petroleum Engineering from Sharif University of Technology, Iran; M.S. in Mechanical Engineering (Energy Conversion) from Sharif University; Ph.D. in Petroleum Engineering from UT-Austin. Research Interests: Dr. Haddad specializes in hydraulic fracture dynamics , induced seismicity , poroelastic modeling , and subsurface electromagnetic monitoring . His projects integrate field experiments, numerical simulations, and advanced geophysical techniques to improve subsurface operation safety and efficiency. Awards: Recipient of the 2020 SPE Reservoir Evaluation & Engineering Journal Technical Reviewer Award and 2019 ARMA Future Leader designation. He co-founded the ARMA Induced Seismicity Webinar Series. Advising & Grants: Served as Principal Investigator (PI) on an STTR project for fracturing-induced seismicity diagnostics. Mentored PhD students in petroleum engineering and a lab technician. Active in technical committees for SPE and ARMA. Labs & Teams: Directs the BEG Rock Mechanics Lab and collaborates on initiatives at the AEC Lab and DFTS, advancing technologies for subsurface monitoring and energy resource management.

Matteo Neriniمشاهده پروفایل

عضو هیئت علمی

• Wireless Communications
• Signal Processing
• Machine Learning
• +۴ مورد دیگر

Matteo Nerini is a Postdoctoral Researcher at Imperial College London's Wireless Communications and Signal Processing Lab within the Faculty of Engineering. His work focuses on signal processing and machine learning applications for wireless communications, particularly in Beyond Diagonal Reconfigurable Intelligent Surfaces (BD-RIS) . He holds a Ph.D. (2024) and M.Sc. (2020) from Imperial College, and dual M.Sc. degrees from the University of Bologna (2020) and NTNU (2020). Visiting Researcher at Technical University of Munich (2023) Recipient of the Eryl Cadwallader Davies Prize (2025) for best PhD thesis His research explores advanced wireless systems including BD-RIS prototypes, analog computing with microwave networks, and optimization frameworks for reconfigurable surfaces. He has contributed to over 20 peer-reviewed publications and maintains active GitHub repositories on topics like 5G network slicing and BD-RIS design. Key technical areas include: RIS modeling and optimization Wideband OFDM communication systems Analog beamforming techniques Machine learning for network security His recent work emphasizes practical implementations of BD-RIS architectures and their impact on 5G/6G networks. Active collaborations involve both academic institutions and industry partners in wireless communication technologies.

Anupam Gargمشاهده پروفایل

استاد

• Coherent State Path Integrals
• Spin Angular Momentum
• Molecular Magnets
• +۳ مورد دیگر

Anupam Garg is a Professor in the Department of Physics and Astronomy at Northwestern University, affiliated with the Weinberg College of Arts & Sciences. He holds a PhD from Cornell University (1983). His research focuses on coherent state path integrals, spin angular momentum, molecular magnets, and foundational quantum mechanics inquiries. Since 2020, he has collaborated with Professor Ketterson on micromagnetic simulations involving ferromagnetic resonance and nonlinear dynamics. Education: PhD in Physics, Cornell University (1983) His research interests include applying path integral formalisms to spin systems, exploring molecular magnet dynamics, and investigating quantum-classical boundaries. Notable collaborations involve simulating magnetization reversals in nanomagnets and studying Suhl instabilities in magnetic nanoparticles. His work bridges theoretical frameworks with computational models in condensed matter physics. Publications: Over 100 peer-reviewed articles, including seminal works on spin tunneling in magnetic molecules and the Weyl-Wigner-Moyal formalism for spin systems. His 2012 book Classical Electromagnetism in a Nutshell is widely used in graduate curricula. Awards: Fellow of the American Physical Society (APS) Labs/Teams: Engages in collaborative projects on nanomagnet simulations and quantum coherence studies. Active in theoretical physics communities exploring macroscopic quantum phenomena.

• Mining Engineering
• Mine Safety
• Coal Mine Gas Management
• +۷ مورد دیگر

Professor Ting Ren is a leading academic in Mining Engineering and Mine Safety at the University of Wollongong. He holds a PhD from the University of Nottingham and has over 30 years of industry experience, focusing on dust mitigation, gas management, and computational modelling. He is affiliated with the School of Civil, Mining and Environmental Engineering and serves as an Adjunct Professor at China University of Mining & Technology. His research spans coal mine safety, geomechanics, and mine fire prevention, supported by over $4 million in industry and governmental grants. Education: PhD in Mining Engineering, University of Nottingham (UK). Key roles include leading industry-driven projects for BHP, Anglo American, and CSIRO. Awards include the BMAs Health & Safety Award (2009) and CSIRO's Partnership Excellence Award (2006). He has advised government committees and international bodies, such as the Queensland Coal Mining Board of Inquiry and the US National Academies. Research Interests: Underground mining methods, mine dust control, coal gas management, and computational fluid dynamics (CFD) applications in mining. Recent articles focus on tunnel stability, coal fracture mechanics, and dust mitigation via machine learning and VR-CFD tools. His work addresses global mining challenges, including spontaneous combustion and gas outburst risks. Grants and Leadership: Over 30 funded projects, including ARC Training Centres and ACARP initiatives. Serves as ERA Cluster Chair (Engineering) and collaborates internationally with institutions in China, India, and South Africa. Actively supervises PhD and MPhil students in dust monitoring, gas drainage, and composite materials for mining infrastructure. Labs/Teams: Leads the Mining Safety and Technology research group, focusing on innovative solutions for health and safety in underground operations. Collaborates with industry partners to develop practical applications of advanced modelling and protective technologies.

• Sedimentology
• Deep-Water Sedimentary Processes
• Tectonics and Sedimentation
• +۵ مورد دیگر

Professor Peter Haughton is a Full Professor and Head of the School of Earth Sciences at University College Dublin. He holds the Tullow Professorship of Petroleum Geoscience and directs the MSc program in Petroleum Geoscience. He is also a Co-PI at the Irish Centre for Applied Geoscience (iCRAG). His academic journey includes a BA (Mod) from Trinity College Dublin (1981) and a PhD from the University of Glasgow (1986), followed by postdoctoral research fellowships. After industry work, he returned to academia in 1996. Research interests focus on deep-water sedimentary processes, including turbidity currents, sediment gravity flows, and their interaction with tectonics and bottom currents. His work explores sedimentation in confined basins, slope stability, and the geology of Ireland's Atlantic margin. Notable contributions include studies on the Porcupine Basin, Clare Basin, and Rockall Trough, emphasizing reservoir geology and basin evolution. Prof. Haughton has edited the journal Sedimentology (2002–2006) and contributed to professional associations like the International Association of Sedimentologists. His research combines fieldwork, subsurface data, and experimental modeling to address challenges in sediment dynamics and petroleum systems.

Tristan Hubschمشاهده پروفایل

استاد

• String Theory
• Mathematical Physics
• Supersymmetry
• +۱ مورد دیگر

Tristan Hubsch is Professor of Physics at Howard University, specializing in string theory, supersymmetry, and Calabi-Yau manifolds. He earned a Ph.D. from the University of Maryland and held postdoctoral positions at Harvard and the University of Texas. His research bridges particle physics, cosmology, and algebraic geometry. Hubsch authored 'Calabi-Yau Manifolds: A Bestiary for Physicists' and 'Advanced Concepts in Particle and Field Theory'. He investigates mirror symmetry, spacetime vacua, and off-shell supersymmetry representations using graph theory and codes. He teaches electromagnetism, quantum mechanics, and mathematical methods. Hubsch has advised numerous Ph.D. students and received sustained DOE funding. He co-organizes conferences and serves on editorial boards for journals like Nuclear Physics B.

Robert Weigelمشاهده پروفایل

استاد

• Space Weather
• Magnetospheric Physics
• Geomagnetism
• +۵ مورد دیگر

Dr. Robert Weigel is a Professor in the Physics & Astronomy Department at George Mason University's College of Science. His research focuses on magnetospheric physics, geomagnetism, and space weather, with significant contributions to modeling solar wind-magnetosphere-ionosphere interactions. He actively develops open science infrastructure like the Heliophysics Application Programmer's Interface (HAPI) for interoperable data access. Education: PhD in Physics (University of Texas at Austin, 2000), MS in Physics (University of Illinois at Urbana-Champaign, 1997), BS in Mechanical Engineering (University of Wisconsin-Platteville, 1995). Research interests emphasize geoelectric field prediction, geomagnetically induced currents (GICs), and the socio-economic impacts of space weather events. Recent work includes machine learning approaches for historical space weather reconstruction and physics-informed neural networks for plasma modeling. His publications highlight advancements in HAPI standard adoption, data mining techniques for magnetotail reconnection analysis, and interdisciplinary frameworks linking physics, engineering, and economics to assess space weather risks. Dr. Weigel has been a key contributor to open-source software ecosystems in heliophysics, including the Virtual Radiation Belt Observatory (VRBO) and Autoplot visualization tools. He advocates for equitable recognition of research software engineers in scientific contributions.

• Environmental Engineering
• Water Supply Systems
• Wastewater Treatment
• +۵ مورد دیگر

Piotr Beńko is an Associate Professor at the Department of Environmental Technologies within the Faculty of Environmental Engineering and Energy at Cracow University of Technology. His academic career focuses on environmental engineering, particularly in wastewater treatment and resource recovery systems. Expertise in wastewater treatment technologies Specialization in denitrification and activated sludge processes Active participant in international energy-environmental research Research interests center on biological wastewater treatment, with emphasis on denitrification processes , activated sludge systems , and energy efficiency in water infrastructure. He actively explores bioaugmentation with archaea , nutrient removal , and urban water demand patterns . Recent publications demonstrate sustained contributions to environmental biotechnology , including studies on archaeal wastewater treatment systems (2015-2025), sensor accuracy in energy applications (2024), and wastewater treatment optimization. Key themes include biological nitrogen removal , sludge management , and sustainable innovation .