جست‌وجوی استاد و پژوهشگر

Fabio Tostiمشاهده پروفایل

استاد

• Ground Penetrating Radar (GPR)
• Non-Destructive Testing (NDT)
• Civil Infrastructure Monitoring
• +۷ مورد دیگر

Professor Fabio Tosti is a Professor of Civil Engineering and Director of the Faringdon Research Centre at the University of West London , School of Computing and Engineering. He holds a PhD and MSc from Roma Tre University, Italy, and has been a key figure in advancing Ground Penetrating Radar (GPR) and non-destructive testing (NDT) in civil and environmental engineering. PhD in Civil Engineering, Roma Tre University (2014) MSc in Road Transportation and Infrastructures, Roma Tre University (2010) His research centers on non-destructive evaluation of civil infrastructure using GPR, microwave tomography, and remote sensing (e.g., InSAR). He has led projects within the COST Action TU1208 and co-convener of GPR sessions at the EGU General Assembly . He teaches across BEng, MEng, and MSc programs in civil and environmental engineering. The articles listed span from 2020 to 2025, showcasing a consistent focus on infrastructure and environmental monitoring. Key research trends include bridge and runway deformation monitoring using satellite radar (InSAR), tree root and trunk assessment via GPR, data fusion of multi-sensor systems, and advanced signal processing techniques like reverse-time migration and joint inversion. His work bridges geophysics, civil engineering, and environmental science, with applications in transportation, urban forestry, and heritage conservation. Notable scientific recognition includes the GI Division Outstanding ECS Award Lecture at EGU 2017. Prof. Tosti actively supervises research, collaborates internationally, and contributes to editorial boards, including as Assistant to Editors for Advances in Transportation Studies . He has led and participated in numerous European and Italian research projects, demonstrating sustained funding and leadership. His work often involves interdisciplinary teams, including researchers from Italy, the UK, and the Netherlands. He is a recognized expert in transport infrastructure health monitoring , with a strong emphasis on smart, non-invasive methods for roads, railways, bridges, and airport runways. His lab and research group focus on developing integrated sensing systems combining GPR, InSAR, LiDAR, and machine learning for real-world engineering challenges.

• Numerical Methods
• Computational Engineering
• Multiphysics Simulation Techniques
• +۲ مورد دیگر

Prof. Thomas Weiland is a Full Professor of Computational Electromagnetics at the Technische Universität Darmstadt since 1989. His research focuses on numerical methods, computational engineering, and multiphysics simulation techniques, particularly in accelerator physics and beam dynamics. He holds a Dr.-Ing. from TU Darmstadt and has held postdoctoral and research positions at CERN and TU Darmstadt. His work includes pioneering contributions to electromagnetic field simulations, including advanced finite element methods, discontinuous Galerkin techniques, and boundary element approaches. Education highlights include his Diplom in Electrical Engineering from TU Darmstadt (1975) and a Habilitation in Experimental Physics from the University of Hamburg (1984). His research spans computational electromagnetics, accelerator physics, and numerical methods for electromagnetic field problems. Notable areas of innovation include transparent boundary conditions, eigenmode calculations, and high-performance simulation frameworks for rotating systems and particle accelerators. His publications emphasize advancements in electromagnetic simulation tools, such as the MagPEEC method and Trefftz-discontinuous Galerkin approaches. Collaborative projects include modeling RF photoinjectors for light sources and electrohydrodynamic droplet dynamics. Technical contributions also extend to wake field analysis in particle accelerators and SAR distribution studies in bioelectromagnetics. Research interests further include multiphysics coupling (thermal-electromagnetic effects in surge arresters), stochastic modeling of electromagnetic systems, and field-circuit co-simulation techniques. His work addresses challenges in large-scale eigenvalue problems, adaptive mesh optimization, and high-precision numerical methods for complex geometries.

Wenbo Duanمشاهده پروفایل

مدرس ارشد

• Ultrasonic Non-Destructive Testing
• Guided Wave Defect Detection
• Finite/Spectral Element Modeling
• +۶ مورد دیگر

Wenbo Duan is a Senior Lecturer and MSc Programme Leader in Mechanical Engineering at the University of Hertfordshire. He holds a PhD from the University of Manchester (2010) and previously served at Brunel University London as a Research Fellow, Senior Research Fellow, and Technical Advisor. His research focuses on advanced non-destructive testing techniques, including ultrasonic and guided wave methods, finite/spectral element modeling, and acoustic communication in industrial pipelines. He specializes in numerical simulations of wave propagation in complex media, defect detection, and signal processing innovations. Education: PhD in Mechanical Engineering, University of Manchester (2010) MSc in Engineering BSc (Distinguished) in Engineering Research Interests: Ultrasonic Non-Destructive Testing (NDT) Guided Wave Defect Detection Piezoelectric-Structure Coupling Acoustic Communication in Pipes Multiphysics Spectral Element Modeling Fluid-Structure Interaction Analysis Key Projects (2021–2025): "Noise Cancelling for Powered Air Purifying Respirators" (PI) "Guided Wave Inspection in Fluid-Filled Wells" (PI) "Assessing the Impact of Strain on Temperature Readings" (Co-Investigator) Advisees & Grants: No specific advisees listed. Active in securing research funding for NDT and acoustics-related projects. Labs & Teams: Involved in the Centre for Engineering Research at the University of Hertfordshire, focusing on computational mechanics and industrial applications.

• Digital Twins
• Smart Cities
• Blockchain Technology
• +۵ مورد دیگر

Noel Crespi is a Professor and Director of Studies at Telecom SudParis, part of Institut Polytechnique de Paris. He leads research in the NeSS group and is affiliated with SAMOVAR, a prominent research laboratory focusing on networks, systems, and services. His work spans multiple domains in telecommunications, networking, and smart systems. His primary research interests include digital twins for smart cities, blockchain technologies, Internet of Things (IoT) security and applications, 5G/6G networking, and machine learning applications in network management. He has published extensively on these topics, with over 100 publications in top-tier journals and conferences. His recent work shows a strong focus on digital twin applications for urban management, particularly in traffic and air quality monitoring. He has developed modular frameworks for smart city digital twins that integrate real-time data from multiple sources. His research also explores blockchain applications for network security, access control, and service provisioning in next-generation cellular networks. Dr. Crespi has received significant recognition for his work on digital twins, with his 2020 paper "Digital twin in the IoT context" in Proceedings of the IEEE being highly cited. His current research explores the integration of AI with digital twin technologies for sustainable urban development. He has supervised numerous PhD students and collaborates extensively with researchers across Europe and internationally. His work often involves interdisciplinary approaches, bringing together computer science, networking, urban planning, and environmental science. Dr. Crespi has been instrumental in developing frameworks for network digital twins, with applications in traffic management, air quality monitoring, and resource allocation in smart cities. His research demonstrates practical implementations in cities like Madrid, showing measurable improvements in urban management.

Matthew Elrodمشاهده پروفایل

استاد

• Atmospheric Chemistry
• Computational Chemistry
• Mass Spectrometry
• +۳ مورد دیگر

Matthew Elrod is a Professor of Chemistry and Biochemistry at Oberlin College, holding the Biggs Professorship of Natural Science. He is affiliated with the College of Arts and Sciences and leads the Elrod Lab, focusing on atmospheric and environmental chemistry. His research investigates the atmospheric oxidation of volatile organic compounds (VOCs), particularly isoprene, to understand ozone formation and secondary organic aerosol (SOA) mechanisms. Techniques include mass spectrometry, computational chemistry, and experimental kinetics studies using Oberlin's supercomputing resources. Elrod earned his BA from Grinnell College (1989) and PhD from UC Berkeley (1994). He teaches Physical Chemistry, General Chemistry, and Environmental Chemistry. Recent projects involve acid-catalyzed reactions in aerosol particles and their climatic impacts. His lab's work has been supported by NSF RUI grants, and he has co-authored over 70 peer-reviewed articles. Notable collaborations include studies on acetalization reactions, organosulfate formation, and epoxide reactivity in atmospheric aerosols. Advising students like Becca Fenselau and Shira Presberg, Elrod emphasizes hands-on research training. Current research trends focus on interdisciplinary approaches linking computational modeling with experimental kinetics to address global climate and air quality challenges.

John Hughesمشاهده پروفایل

دانشیار

• Biostatistics
• Health Data Science
• Statistical Computing
• +۶ مورد دیگر

John Hughes, PhD, is an Associate Professor and Chair of the Department of Biostatistics and Health Data Science at Lehigh University's College of Health. With nearly 30 years of experience in higher education, he has held positions at institutions including Frostburg State University, the University of Minnesota, and Pennsylvania State University. His methodological research focuses on statistical models for dependent data, Bayesian methods, and spatial and spatiotemporal analysis. He has developed numerous software packages for R and Perl, including copCAR , ngspatial , and krippendorffsalpha . Dr. Hughes' interdisciplinary work spans environmental health, bioimaging, vaccine hesitancy, and spatial epidemiology of HPV-related cancers. He has consulted for organizations such as the Courage Kenny Research Center and Temple University. His education includes a PhD in Statistics from Penn State University and an MS in Applied Computer Science from Frostburg State University. His research emphasizes statistical computing and the application of advanced models to health data. Recent work includes methodologies for agreement coefficients, environmental noise measurement, and spatial analysis of vaccination refusal patterns. Dr. Hughes teaches courses in biostatistics, data science, and programming, reflecting his dual role as a teacher-scholar. Professional contributions include software development, collaborative research projects, and academic leadership. His work bridges computational innovation and real-world health challenges, positioning him as a key figure in modern biostatistical research.

• Structural Dynamics
• Nonlinear Dynamics
• Experimental Mechanics
• +۱۲ مورد دیگر

Matt Allen is a Professor in the Department of Mechanical Engineering at Brigham Young University (BYU), within the College of Engineering. He previously held faculty positions at the University of Wisconsin-Madison in the Engineering Physics Department, progressing from Assistant to Associate to Full Professor. His research group, the BYU Structural Dynamics Research Group, is actively engaged in experimental and analytical studies of complex dynamic systems. Ph.D. and M.S. in Mechanical Engineering, Georgia Institute of Technology (2005) B.S. in Mechanical Engineering, Brigham Young University (2001) Postdoctoral Appointee, Sandia National Laboratories (2005–2006) Dr. Allen’s research centers on structural dynamics, with a strong emphasis on nonlinear dynamics , experimental mechanics , and vibrations . His team develops innovative methods to characterize and model systems where traditional modeling fails—such as structures with large deformations, frictional joints, or complex interfaces. Key research thrusts include nonlinear normal modes, substructuring for nonlinear systems, damping characterization in bolted joints, and test-based model updating. His work bridges engineering structures and biomechanical systems, such as human gait dynamics. The research publications reflect a consistent focus on nonlinear structural dynamics , experimental system identification , and model validation . Trends show increasing integration of computational methods like harmonic balance and reduced-order modeling with experimental data, particularly for spacecraft, aircraft, and mechanical joints. The work is highly interdisciplinary, intersecting mechanical, aerospace, and civil engineering. Dominick J. DeMichele Award, Society for Experimental Mechanics B. J. Lazan Award, Society for Experimental Mechanics NASA NESC Group Achievement Award for work on nonlinear joints in the MPCV Young Investigator Award, Air Force Office of Scientific Research Dr. Allen has advised numerous graduate students, many of whom appear as co-authors on publications. He has secured over $3.3 million in research funding as principal investigator, with total project funding exceeding $5.5 million when including funds managed by collaborators. He is actively involved in professional service, including editorial roles for Experimental Mechanics and Experimental Techniques , and leadership in the Society for Experimental Mechanics. He teaches core courses in dynamics, vibrations, and modeling at both BYU and previously at UW-Madison. He leads the BYU Structural Dynamics Research Group, which focuses on developing experimental and analytical tools for understanding complex dynamic behavior in engineering and biological systems. The group emphasizes rigorous validation, interdisciplinary collaboration, and real-world application in aerospace, automotive, and biomechanical domains.

Florian Kaltenbergerمشاهده پروفایل

استاد

• Wireless Communications
• 5G and 6G Networks
• Massive MIMO
• +۱۰ مورد دیگر

Florian Kaltenberger is a Professor in the Communication Systems department at EURECOM, a leading research institute in digital technology based in France. He actively contributes to research and teaching in wireless communications, with a focus on 5G/6G technologies, massive MIMO, and OpenAirInterface-based prototyping. Research Affiliation: EURECOM - Communication Systems Key Projects: SOLDER FP7, Newcom++, COST 2100 Professional Memberships: IEEE, reviewer for major journals and conferences His research centers on signal processing for wireless communications, MIMO systems, channel modeling, and hardware implementation. He specializes in exploiting channel reciprocity in TDD systems and developing practical testbeds for next-generation networks. Recent publications highlight a strong trend toward AI-integrated RAN, open-source 5G/6G testbeds (e.g., OpenAirInterface, X5G), UAV-aided localization, and real-time control using decentralized applications. His work bridges theoretical innovation with field deployment in programmable living labs. Award Highlights: Neal Shepherd Best Propagation Award (2013) He leads research grants under EU frameworks like FP7 and collaborates internationally on open RAN and 6G innovation. Though no formal student list is provided, his role as project lead and frequent co-authorship suggests active mentorship. He also manages EURECOM’s contributions to large-scale collaborative projects. Kaltenberger is deeply involved in lab development, particularly around OpenAirInterface, where he leads efforts in creating end-to-end, multi-vendor, private 5G O-RAN testbeds with real-time AI control and green networking capabilities.

J. D. Tovarمشاهده پروفایل

استاد

• Organic Chemistry
• Materials Chemistry
• π-Conjugated Systems
• +۷ مورد دیگر

J. D. Tovar is a Professor in the Department of Chemistry at the Krieger School of Arts and Sciences, Johns Hopkins University, where he has been a faculty member since 2005. His research group focuses on the design, synthesis, and characterization of organic materials with extended π-electron conjugation for applications in flexible electronics and biomedical devices. His research interests include: Organic and materials chemistry of π-conjugated systems Boron-based aromatics, particularly borepins and their fused derivatives Methano[10]annulene-based electronic materials Photochromic polymers and molecular switches Self-assembling bioelectronic materials using peptide-π conjugates Energy transport in organic electronic materials The recent publications from Prof. Tovar's group emphasize the development of air- and moisture-stable organoboron materials, fine-tuning of aromaticity in fused borepin systems, and the design of functional peptide-based nanomaterials. These works span synthetic organic chemistry, physical characterization, and materials engineering, reflecting a multidisciplinary approach to organic electronics and bio-nanomaterials. The research demonstrates a strong trend toward molecular design for controlling electronic, optical, and self-assembly properties in functional materials. Prof. Tovar has successfully advised numerous Ph.D. and M.A. students, many of whom have gone on to postdoctoral positions at institutions like Harvard, NIH, and NIST, or careers in industry at companies such as Solid Biosciences, Church & Dwight, and Kite Pharma. His group has received consistent funding to support graduate students, postdocs, and research activities in the laboratory. He has mentored a diverse cohort including REU students from various universities, indicating active participation in undergraduate research training. The Tovar Research Group operates a well-equipped laboratory focused on organic synthesis, optical and electrochemical characterization, and materials testing. The lab fosters a collaborative environment where students gain expertise in aromatic and polymer chemistry, peptide synthesis, and advanced analytical techniques. Current projects involve cycloparaphenylenes, peptide-π hydrogels, and bioelectronic heterostructures, suggesting ongoing innovation in both fundamental and applied directions.

• Composite Materials
• Mechanical Engineering
• Structural Analysis
• +۳ مورد دیگر

Professor Albert Turon Travesa is a faculty member in the Department of Mechanical and Industrial Construction Engineering at the University of Girona (Spain), where he leads the Mechanics of Continuum Media and Theory of Structures research area. He serves as Head of Department and is affiliated with the AMADE research group. His research focuses on characterizing mechanical behavior of composite materials, developing non-deterministic modeling strategies for structural prediction, and advancing fatigue life estimation techniques. Key contributions include cohesive zone modeling, delamination growth analysis, and machine learning applications in materials science. He has authored over 100 top-tier journal papers, appears in Stanford's World Top 2% Scientists, and Research.com's Mechanical & Aerospace Engineering ranking. Awards include the 2022 ICREA Acadèmia grant and 2024 Air and Space Academy Medal for composite materials advancements in European aeronautics. His 15 most recent publications span fatigue modeling, delamination mechanics, and computational strategies, primarily applied to aerospace composites. Current work emphasizes probabilistic approaches, ply orientation effects, and residual strength prediction after damage accumulation. ICREA Acadèmia Award (2022) Air and Space Academy Medal (2024) Active collaborations with aeronautical industries include technology transfer projects on composite material implementation. His research combines experimental validation with numerical simulation to bridge theoretical modeling and industrial application.

Jay I. Frankelمشاهده پروفایل

استاد

• Heat Transfer in Hypersonics
• Inverse Heat Transfer Problems
• Thermal Measurements
• +۷ مورد دیگر

Jay I. Frankel is a Professor and Department Head at the Department of Mechanical & Aerospace Engineering at New Mexico State University (NMSU). He earned his Ph.D. (1986), M.S.M.E. (1982) from Virginia Tech and a B.S.M.E. (1980, Magna Cum Laude) from the University of Maryland. Ph.D., Virginia Tech (1986) M.S.M.E., Virginia Tech (1982) B.S.M.E., University of Maryland (1980) His research focuses on thermal sciences in aerospace contexts, including: Inverse heat conduction problems Calibration methods for thermal sensors Uncertainty and sensitivity analysis High-temperature measurements for hypersonic vehicles His work often employs integral equations and advanced mathematical techniques to solve real-world thermal challenges in propulsion and aerospace systems. Recent publications explore: Calibration methods for heat flux estimation Experimental validation of thermal models Time-spectral approaches for dynamical systems Nonlinear diffusion modeling Key honors include: 2018 AIAA Special Award for CIEM development 2010 General H.H. Arnold Award for thermal analysis in propulsion 2005 AIAA Associate Fellow 2000 Fellow of Computational Mechanics at Wessex Institute He has secured significant funding from the National Science Foundation, Air Force Research Laboratory, NASA, and Department of Energy for projects related to: Hypersonic thermal protection systems Advanced sensor development Calibration methodologies under extreme conditions His laboratory team collaborates on emerging thermal diagnostics and inverse problem solutions.

Hanna Meyerمشاهده پروفایل

استاد

• Remote Sensing
• Spatial Modeling
• Machine Learning for Spatial Data
• +۷ مورد دیگر

Prof. Dr. Hanna Meyer is a Professor of Remote Sensing and Spatial Modeling at the Institute of Landscape Ecology, University of Münster (WWU). She leads the Remote Sensing and Spatial Modeling Group and is actively involved in teaching and research in geospatial data science, machine learning, and environmental monitoring. Her work is supported by multiple national and international funding bodies including the DFG, EU Horizon Europe, and internal university grants. B.Sc. Geography, Philipps University Marburg (2007–2010) M.Sc. Environmental Geography, Philipps University Marburg (2010–2013) Ph.D., Philipps University Marburg (2014–2018) Her research focuses on machine learning methods for spatial data, optical remote sensing, environmental monitoring, and spatio-temporal modeling. She develops and applies advanced statistical and machine learning techniques to satellite and drone-based data for mapping ecological variables, land cover, and environmental change. Her work emphasizes methodological rigor, model transferability, and uncertainty quantification in spatial predictions. The recent publications reflect a strong trend in developing and validating machine learning models for environmental mapping, with applications in soil science, peatland hydrology, forest ecology, and polar climatology. She contributes both to theoretical advancements in spatial model validation and to practical software tools in R for geospatial analysis. She has secured competitive research funding for projects such as PRISM, Carbon4D, Uebersat, and BEyond, focusing on spatial pattern recognition, carbon modeling, AI model transferability, and biodiversity prediction. She teaches courses on remote sensing, spatial data analysis with R, and environmental modeling, and supervises students and early-career researchers. She collaborates widely with researchers across institutions and leads a dynamic research group including postdoctoral researchers and students. Her open-source contributions, particularly R packages like CAST and uavRst, support reproducible research in geospatial machine learning.

Hesham El-Askaryمشاهده پروفایل

استاد

• Global Climate Change
• Earth Systems
• Remote Sensing
• +۱۱ مورد دیگر

Dr. Hesham El-Askary is a Professor of Computational and Data Science at Schmid College of Science and Technology, Chapman University . With expertise in Global Climate Change, Remote Sensing, and Natural Disasters , his research spans atmospheric aerosols, marine ecosystems, and sustainable resource management. He holds a Ph.D. in Computational Sciences from George Mason University. B.Sc. Alexandria University M.Sc. George Mason University (×2) Ph.D. George Mason University His research interests focus on: Dust storm monitoring via remote sensing Climate change impacts on sea-level rise and coral reefs Renewable energy for sustainability Hydrological extremes and drought analysis AI/ML applications in environmental science Marine habitat and coastal zone management Recent publications highlight his work in: Machine learning for groundwater vulnerability Land surface temperature trends Coral reef monitoring in the Red Sea Solar energy optimization in Egypt/UAE Drought prediction in Mediterranean regions Awards & Grants : Chapman University Senior Wang-Fradkin Professorship (2015) Regional Coordinator for EU Horizon 2020 GEO-CRADLE Project ($3M, 2016) Saudi Environmental Management Award (2006) Funding from NSF, NASA, USDA, and EU As a IEEE and AGU member , he bridges environmental science with advanced computational methods.

• Wave Energy Conversion
• System Identification
• Optimal Control
• +۶ مورد دیگر

Mauro Bonfanti is a Fixed-term Assistant Professor at the Department of Mechanical and Aerospace Engineering (DIMEAS) at Politecnico di Torino, Italy. His academic work focuses on wave energy conversion systems, mechatronics, and applied mechanics within the field of industrial and information engineering. Dr. Bonfanti's primary research interests include wave energy conversion systems, system identification, optimal control, mechatronics, and renewable energy systems. His work centers on developing advanced control strategies for wave energy converters, with particular emphasis on improving energy extraction efficiency through innovative mechanical designs and control algorithms. He has made significant contributions to the understanding of wave-structure interactions, hydrodynamic modeling of floating bodies, and optimization of wave energy converter systems under various sea conditions. His research bridges theoretical modeling with practical implementation, often involving high-fidelity numerical simulations validated through experimental testing. His publication record demonstrates a strong focus on advancing wave energy conversion technology, with particular emphasis on control systems, hydrodynamic modeling, and optimization techniques. The research shows progression from fundamental modeling approaches to increasingly sophisticated control strategies and system integration. Recent work has expanded to include hybrid renewable energy systems that combine wave and wind energy technologies. Dr. Bonfanti serves as a Scientific Responsible for several research projects including OCEANGLIDE, AQUALEV, and WISE, which focus on innovative wave energy conversion technologies. He holds multiple patents related to wave energy conversion systems, including the WISE (Water-air Injectable Swath Elevator) and AQUALEV magnetic support systems. He actively supervises PhD students including Alessandro Brusasco, Matteo Mastorakis, Francesco Balestrieri, and Domenico Edoardo Sfasciamuro, guiding research in sustainable materials, mechanical engineering, and wave energy conversion systems. His teaching responsibilities include courses on System Identification and Optimal Control of Wave Energy Conversion Systems, as well as Mechatronics across multiple academic years. Dr. Bonfanti is a member of the Mechatronics and Servosystems research group at DIMEAS, where he collaborates on projects related to marine renewable energy systems and advanced control technologies.

Klaus Ingemann Pedersenمشاهده پروفایل

استاد

• Wireless Communication Networks
• Dependable Wireless Communications
• 5G-Advanced Technology
• +۱۰ مورد دیگر

Klaus Ingemann Pedersen is a Professor in the Department of Electronic Systems at the Technical Faculty of IT and Design, Aalborg University, Denmark. His research focuses on wireless communication networks and dependable wireless communications with substantial contributions to 5G-Advanced and 6G technologies. His research interests include: Wireless Communication Networks Dependable Wireless Communications 5G-Advanced Technology 6G Networks Radio System-Level Simulations Ultra-Reliable Low Latency Communication Heterogeneous Networks Professor Pedersen's recent work demonstrates cutting-edge research in next-generation wireless systems, with particular emphasis on deep reinforcement learning applications, link adaptation techniques, and system-level simulations. His publications show consistent high-impact output with 152 total publications spanning from 2012 to 2025, reflecting ongoing productivity and relevance in the rapidly evolving field of wireless communications. His notable achievements include: 5G-prisen (The 5G Award) received on October 23, 2019, shared with E. Mogensen and I.R. Larrad Professor Pedersen has supervised 8 PhD students according to institutional records. His research has practical applications in wireless communication, as evidenced by his involvement in patented technology 'Method and apparatus for wireless communication' which delivers social impact and quality of life improvements. His work shows strong international collaboration across multiple countries as indicated by the research network visualization.