جست‌وجوی استاد و پژوهشگر

Samina S. Masoodمشاهده پروفایل

استاد

• Quantum Field Theory
• Astrophysics
• Plasma Physics
• +۳ مورد دیگر

Samina S. Masood is a Professor and Program Director of Physics in the College of Science and Engineering at the University of Houston-Clear Lake (UHCL). Her research focuses on quantum field theories, planetary atmospheres, compact stars, nucleosynthesis, and the effects of magnetic fields on particles and biological systems. She actively investigates propagation of particles in hot and dense media, bacterial growth under weak magnetic fields, and physics education trends. Her work bridges theoretical physics and biophysical systems, with notable contributions to understanding neutron star dynamics and pandemic impacts on STEM enrollment. Education: Ph.D. in Physics (university unspecified) Research interests span astrophysics, biophysics, and quantum phenomena. Her studies on magnetic field interactions include their effects on bacterial growth rates, antibiotic efficacy, and antibiotic susceptibility. She also explores how magnetic fields influence electron transport in nanomaterials and lepton behavior in extreme astrophysical environments. Her work on nucleosynthesis addresses primordial and neutron star processes, while her physics education research analyzes enrollment declines and strategies to enhance STEM recruitment. Recent publications highlight trends in physics enrollment, electromagnetic wave propagation in dense media, and computational studies of QED plasma at high temperatures. She has published extensively on topics like Casimir effects in dense systems and proton transfer mechanisms in weak magnetic fields. Dr. Masood teaches advanced physics courses including Mathematical Methods, Quantum Mechanics, and Electrodynamics. Her research teams collaborate on projects such as computational modeling of relativistic plasmas and experimental investigations of bacterial responses to magnetic fields.

• Electromagnetic Engineering
• Antenna Measurement
• Microwave Imaging
• +۳ مورد دیگر

Quanfeng Wang is a Researcher at the Technical University of Munich (TUM), affiliated with the Chair of High-Frequency Engineering under Prof. Dr.-Ing. Thomas Eibert. He holds an M.Sc. and contributes to the School of Computation, Information and Technology within the Department of Electrical Engineering. Research Interests : His work focuses on advanced topics in electromagnetic engineering, including antenna measurement techniques, microwave imaging, numerical modeling, and inverse methods. He explores applications in electromagnetic compatibility, material characterization, and radar-based localization systems. His research aligns with broader group initiatives such as UAV-based electromagnetic field measurements and hybrid numerical modeling approaches. Publications : Recent work emphasizes innovative solutions in geometry reconstruction using impedance matrices, microwave imaging of absorber materials in antenna chambers, and indoor localization via passive radar imaging. These studies reflect a strong emphasis on practical electromagnetic systems and their computational analysis. Labs & Teams : He is part of the High-Frequency Engineering group at TUM, which operates facilities for advanced electromagnetic research, including near-field antenna measurement systems and metamaterial investigations.

• RF and Microwave Measurement Techniques
• Active and Passive Device Modeling
• Planar Hybrid and Integrated Circuits
• +۳ مورد دیگر

Gerhard R. Olbrich is a Research Professor and Director of Research at the Institute of High Frequency Engineering, Technische Universität München. He holds a Dipl.-Ing. (1974) and Dr.-Ing. (1979) in electrical engineering from TUM. His career includes roles as Assistant Professor (1975–1985) and leadership at Work Microwave GmbH (1986–1988). Current research focuses on RF/microwave measurement techniques, device modeling (active/passive), and low-phase-noise oscillators up to 110 GHz. He contributes to IEEE and ITG, and has pioneered advancements in SiGe HBT oscillators and microwave measurement systems. Education: Dr.-Ing., Electrical Engineering, Technische Universität München (1979) Dipl.-Ing., Electrical Engineering, Technische Universität München (1974) Research interests span microwave measurement methodologies, oscillator design, noise modeling, and integrated circuits. Notable achievements include the EEEfCOM Innovation Preis 2003 for a silicon Schottky diode demultiplexer. His work bridges academic and industrial applications, with contributions to high-frequency communication systems and material inspection via microwave techniques.

Tim O'Farrellمشاهده پروفایل

استاد

• Wireless Communications
• Energy-Efficient Networking
• Radio Systems Engineering
• +۴ مورد دیگر

Professor Tim O'Farrell is the Chair in Wireless Communication at the University of Sheffield's School of Electrical and Electronic Engineering and a Fellow of the Royal Academy of Engineering (FREng). His research focuses on wireless communications systems, specializing in energy-efficient radio access networks (RANs), physical layer signal processing, and radio systems engineering. He has pioneered advancements in Wi-Fi standards (IEEE802.11g) and developed industry-standard practices for measuring energy efficiency in RANs. As Co-Founder and CTO of Supergold Communication Limited, he contributed to foundational Wi-Fi technology. He leads the UKRI National 6G Radio Systems Facility and has managed £29M in research projects. Education: BSc in Electrical and Electronic Engineering, University of Birmingham MSc and PhD in Electrical and Electronic Engineering, University of Manchester Affiliations: Director of the UKRI National 6G Radio Systems Facility (EP/X030016/1) Former leader of the UK Research Strategy Community Organisation (CommNet II, EP/N007824/1) Professional Roles: External Examiner at King's College London Member of the Royal Academy of Engineering's mobile Virtual Centre of Excellence His research interests span multiple-access techniques, MIMO systems, visible light communication, and network optimization. Over 27 major projects and extensive publications reflect his impact on both academia and industry. Key awards include the prestigious FREng designation. His advisory role extends to guiding PhD students in wireless systems and networking, with notable graduates including S. Abukharis, A. Arbi, and R. Singh.

• Nuclear Engineering
• Superconducting Magnets
• Fusion Reactor Design
• +۲ مورد دیگر

Dr. Andrea Zappatore is an Assistant Professor in the Department of Energy at Polytechnic University of Turin, specializing in nuclear engineering and fusion technology. His research focuses on superconducting magnet systems for tokamak reactors, including thermal-hydraulic analysis and quench propagation modeling. Prof. Zappatore works on experimental characterization of superconducting conductors for fusion applications, particularly for ITER and DEMO reactors. His group develops advanced computational models for electromagnetic and thermo-mechanical behavior of fusion magnet systems. He contributes to the Divertor Tokamak Test (DTT) facility design and collaborates on international projects including ITER central solenoid testing. Prof. Zappatore supervises graduate research in fusion engineering applications.

Flyura Djurabekovaمشاهده پروفایل

استاد

• Materials Science
• Computational Physics
• Radiation Damage
• +۵ مورد دیگر

Flyura Djurabekova is a Professor in the Department of Physics at the University of Helsinki, affiliated with the Faculty of Science. Her research focuses on radiation damage, materials under extreme conditions, ion beam interactions, and computational physics. She holds a PhD in Computational Physics and a MSc in Physical Electronics. Her work spans interdisciplinary areas including materials science, plasma physics, and quantum technologies. Education: PhD in Physics and Mathematics, 1999 (Modeling of compositional modification of surface layers under high dose ion irradiation) MSc in Engineering Physics, Tashkent State Technical University, 1991 Research Interests: Her research emphasizes atomic-scale processes in materials exposed to ionizing radiation, including defect dynamics in semiconductors and high-entropy alloys, radiation resistance of materials for fusion reactors, and surface modifications via plasma treatments. She employs advanced computational methods like molecular dynamics and machine learning to model complex phenomena such as vacuum arc ignition and hydrogen diffusion in metals. Publications: Her recent work includes studies on gallium oxide radiation tolerance, defect formation in tungsten alloys, and plasma-induced surface modifications. These contributions highlight her expertise in bridging computational modeling with experimental validation. Awards: Outstanding Referee for the American Physical Society Journals (2013) Grants & Projects: EU Horizon Europe Project HyWay (2024–2027): Focuses on high-entropy alloys for extreme environments Eurofusion HerHEA Project (2024–2025): Studies radiation damage in fusion materials CERN K-Contract (2024–2025): Investigates materials for accelerator technologies Labs & Collaborations: She leads research groups exploring nanomaterials under ion irradiation and collaborates internationally on fusion material development. Her work integrates multi-scale simulations with experimental techniques like Rutherford backscattering spectroscopy.

Rao Tummalaمشاهده پروفایل

استاد

• Electronic Packaging
• Microsystems Packaging
• Semiconductor Technology
• +۵ مورد دیگر

Rao Tummala is a Distinguished and Endowed Pettit Chair Professor at Georgia Tech's College of Engineering, with joint appointments in Electrical and Computer Engineering and Materials Science and Engineering. He founded and directs the NSF-funded Microsystems Packaging Research Center (PRC), focusing on System-on-Package (SOP) innovations as the 'Second Law of Electronics.' The center involves 200 students, 15 faculty, and 40 global companies. Research interests span advanced packaging technologies, including: Glass-based RF modules for 5G/6G applications Polymer dielectrics for high-density interconnects Embedded power passives and 3D integration Nanocopper sintering for heterogeneous integration Millimeter-wave antenna-in-package designs Awards and honors include: National Academy of Engineering membership IEEE Third Millennium and David Sarnoff Awards ASM International Materials Achievement Award Distinguished Faculty Award from Georgia Tech

Mauricio Terronesمشاهده پروفایل

استاد

• Condensed Matter Physics
• Nanomaterials Synthesis
• Graphene and 2D Materials
• +۴ مورد دیگر

Mauricio Terrones is the George A. and Margaret M. Downsbrough Head of the Department of Physics and an Evan Pugh University Professor at Pennsylvania State University. His academic roles include joint appointments as Professor of Chemistry and Materials Science and Engineering. He holds a B.S. in Engineering Physics (Summa Cum Laude) from Iberian-American University (1992) and a Ph.D. in Chemical Physics from the University of Sussex (1997). His research focuses on nanomaterials synthesis, characterization, and applications, particularly in 2D materials like graphene and transition metal dichalcogenides. Key areas include defect engineering, optoelectronics, and biocompatibility. His work spans theoretical predictions, experimental synthesis, and applications in sensors, energy storage, and biomedical devices. Terrones has received prestigious awards such as the Royal Society of Chemistry Fellowship (2015), TWAS Prize (2005), and UNESCO-Javed Husain Prize (2001). His group collaborates globally, leveraging advanced facilities for nanoscale characterization and device fabrication.

Mikhail Gilmanمشاهده پروفایل

استاد پژوهشی

• Radar Imaging
• SAR Imaging
• Remote Sensing
• +۴ مورد دیگر

Mikhail Gilman is an Associate Research Professor in the Department of Mathematics at North Carolina State University (NCSU), based in SAS Hall 3210. He serves as a core faculty member in NCSU's Radar Imaging research group, focusing on advanced radar technologies and their mathematical foundations. Dr. Gilman earned his PhD from the State Institute of Physical and Technical Problems in Russia in 1998. His academic journey spans interdisciplinary research connecting applied mathematics, electromagnetics, and remote sensing. His research centers on radar imaging, particularly synthetic aperture radar (SAR) systems. Key interests include mitigating phase distortions from turbulent media propagation (especially ionospheric effects), developing novel radar target models, and innovating change detection paradigms in SAR imagery. He integrates analytical methods, computational simulations, and machine learning to solve complex problems in transionospheric SAR imaging, with significant contributions to autofocus algorithms and ionospheric distortion correction. His work bridges theoretical mathematics and practical remote sensing applications. Recent publications reveal a concentrated focus on transionospheric SAR challenges, with 10 of the last 15 papers addressing ionospheric effects, autofocus techniques, and machine learning applications. His 2017 book Transionospheric Synthetic Aperture Imaging (Birkhäuser) established foundational frameworks, receiving positive reviews in SIAM Review and AMS MathSciNet. Dr. Gilman actively leads the Radar Imaging group at NCSU, which develops analytical tools and machine learning approaches for radar technology advancement. The group's work, detailed in their research flyer, emphasizes practical solutions for real-world remote sensing challenges.

Michael Medvinskyمشاهده پروفایل

مدرس

• Numerical Analysis
• Scientific Computing
• Applied Mathematics
• +۳ مورد دیگر

Michael Medvinsky is a Lecturer in the Department of Mathematics at North Carolina State University (NC State), part of the College of Sciences. He holds a PhD in Applied Mathematics from Tel Aviv University (2013) and specializes in Numerical Analysis and Scientific Computing, with a focus on high-order numerical methods for wave propagation and partial differential equations. His research involves developing computational techniques for complex geometries and interface problems, leveraging the method of difference potentials. Medvinsky's work spans applications in computational physics, acoustics, and engineering, addressing challenges in scattering problems, boundary conditions, and grid-based simulations. His academic contributions include advancements in high-order schemes for elliptic problems, Helmholtz equation solutions, and wave transmission modeling. Medvinsky is affiliated with the Faculty Research Group in Numerical Analysis and Scientific Computing Teaching Faculty at NC State, reflecting his dual role in research and education. Despite no explicit mention of scientific awards, his extensive publication record highlights sustained scholarly engagement since 2007. His teaching and research emphasize bridging theoretical numerical methods with practical computational tools for real-world problems.

Irena Vorgulمشاهده پروفایل

مدرس

• Astronomy
• Astrophysics
• Plasma Physics
• +۶ مورد دیگر

Dr. Irena Vorgul is a Lecturer and Senior Laboratory Demonstrator at the School of Physics and Astronomy , University of St Andrews, with a secondary appointment as Associate Lecturer in Mathematics at the International Education & Lifelong Learning Institute. Her research bridges astrophysics, planetary science, and plasma physics. Research Interests : Vorgul specializes in plasma processes in exoplanetary and brown dwarf atmospheres , lightning modeling , radio emissions , and cyclotron maser instabilities . Her work combines theoretical modeling, computational simulations, and comparative studies with Solar System data. Publications reveal a focus on exoplanet climatology , electron beam dynamics , and time-dependent magnetic field effects . She employs advanced numerical methods like 3D Particle-in-Cell (PiC) code simulations.

• Power Electronics
• High Frequency Transformers
• Transformer Insulation
• +۳ مورد دیگر

Zhaoxin Wang is a Postdoctoral Researcher at Aalborg University's Faculty of Engineering and Science, specifically within the Applied Power Electronic Systems group. His research focuses on power electronics, with particular emphasis on high-frequency transformers, power semiconductors, and traction inverters. Dr. Wang's research interests center around the reliability and performance of power electronic components under various stress conditions. His work spans transformer insulation analysis, EMI suppression, and power semiconductor monitoring in traction applications. He investigates multi-stress interactions including thermal, electrical, and humidity effects on component reliability. His recent publications demonstrate a strong focus on high-frequency transformer insulation behavior under PWM stress, life modeling of transformer insulation under multi-stress conditions, and advanced monitoring techniques for power semiconductors in traction inverters. His research shows a clear trajectory toward improving the reliability and performance of power electronic systems through detailed component-level analysis. Dr. Wang leads research projects including the completed 'Study of Insulation of High-voltage High-frequency Transformers in Modern Power Electronics Based on Electro-thermal Analysis' (2020-2023), where he served as Principal Investigator. His work has significant implications for electric vehicle powertrains and renewable energy integration systems.

Pavlo Krokhmalمشاهده پروفایل

استاد

• Stochastic Optimization
• Decision Making Under Uncertainty
• Risk Analysis
• +۱۲ مورد دیگر

Pavlo Krokhmal is a Professor in the Department of Systems and Industrial Engineering at the College of Engineering, University of Arizona. He serves as the Director of Industrial Engineering and is a member of the Graduate Faculty. He has previously held academic positions at the University of Iowa and the University of Florida. Education: PhD in Operations Research, University of Florida, Gainesville, Florida, United States PhD in Mechanics of Solids and Applied Mathematics, Kyiv National Taras Shevchenko University, Kyiv, Ukraine MS in Applied Mathematics and Mechanics, Kyiv National Taras Shevchenko University, Kyiv, Ukraine His research focuses on stochastic optimization, risk analysis, and decision-making under uncertainty, with applications in financial engineering, network resilience, and renewable energy systems. He also contributes to multidisciplinary optimization and cooperative control. His work bridges applied mathematics, engineering, and operations research. The most recent publications reflect a strong trend in risk-averse optimization under uncertainty, especially in network structures, energy systems, and combinatorial problems. His work integrates advanced mathematical modeling, stochastic programming, and computational algorithms. Topics frequently include risk measures like CVaR, p-cone programming, and PDE-constrained optimization with stochastic inputs. Scientific Awards and Honors: Diploma in the Competition of Young Scientists and Students for the Best Research Project, National Academy of Sciences of Ukraine, Spring 1997 Soros Student Award, International Soros Science and Education Program, Fall 1994 Scholarship for scientific and academic achievements, National Academy of Sciences of Ukraine, Spring 1994 Air Force Summer Faculty Fellowship Award (multiple years: 2011, 2012, 2014, 2018, 2019) NRC Senior Research Associateship Award, National Research Council, Spring 2015 Donald E. Bently Faculty Fellowship of Engineering, University of Iowa, Fall 2013 Recognition for Excellence in Teaching, College of Engineering, University of Iowa (2010, 2013) Dr. Krokhmal has been actively involved in advising graduate students and leading research projects funded by agencies such as the Air Force Office of Scientific Research. His collaborations span across institutions and disciplines, including work with researchers at the University of Florida, University of Iowa, and military research labs. He has served on editorial boards and contributed to academic leadership through journal editorials and peer review. His research is conducted within interdisciplinary teams focusing on optimization, risk modeling, and complex systems. These teams often involve mathematical modeling, algorithm development, and simulation for real-world applications in defense, energy, and infrastructure resilience.

• 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.

• Human-Computer Interaction
• Augmented Reality
• Virtual Reality
• +۵ مورد دیگر

Renan Guarese is a Postdoctoral Researcher in Human-Computer Interaction at KTH Royal Institute of Technology , Sweden, focusing on AR/VR applications for pharmaceutical manufacturing through the SMART Industry project with AstraZeneca. He holds a Ph.D. from RMIT (Australia) and M.Sc. from UFRGS (Brazil), with expertise in assistive technologies, situated data visualization, and accessibility. His roles include teaching assistant for courses like Advanced Graphics and Multimodal Interaction, and M.Sc. thesis supervision. He has over 10 years of academic experience across institutions like RMIT, Halmstad University, and UFRGS, with projects ranging from assistive AR for visually impaired individuals to educational AR platforms. Research Interests: Human-Computer Interaction (HCI), Augmented and Virtual Reality (AR/VR), assistive technologies, situated visualization, and accessibility design. He specializes in applications like sonified AR interfaces, industrial training, and empathy-building experiences for marginalized users. Awards: Best Doctoral Thesis (SVR 2024) Finalist, Cross-Reality Systems Competition (IEEE ISMAR 2023) Nomination for Best Paper Award (IEEE VR 2023) Latin American PhD Scholarship (ATN grant) Advising & Grants: Supervising 3 current M.Sc. theses (2025) and co-authoring grants focused on conversational AI in industrial training and predictive maintenance. His work bridges HCI with real-world industry needs, emphasizing accessibility and immersive solutions. Labs/Teams: Active in KTH's Digital Futures initiative and collaborates with AstraZeneca on pharmaceutical AR/VR applications. Engages in international conferences like IEEE VR, ISMAR, and CHI through peer reviewing, workshop organizing, and panel participation.