جست‌وجوی استاد و پژوهشگر

• Information Theory
• Machine Learning
• Communication Theory
• +۶ مورد دیگر

Giuseppe Durisi is a Full Professor at the Communication Systems Group within the Department of Electrical Engineering (E2) at Chalmers University of Technology, Sweden. His work bridges information theory with machine learning, focusing on latency-reliability-throughput trade-offs in digital communication, next-gen cellular systems, and theoretical foundations of neural networks. Education: Laurea (summa cum laude) and Doctorate from Politecnico di Torino, Italy (2001/2006). Career: Postdoc at ETH Zurich (2006-2010), Chalmers since 2010, co-director of ICT Area of Advance, director of AI Research Center, and current master program director. His research explores: Optimal coding schemes for millimeter-wave massive MIMO systems Mathematical frameworks for low-latency ultra-reliable communication Convergence of information theory and deep learning principles Recent scientific awards include: 2013 IEEE ComSoc Best Young Researcher Award (EMEA) 2012 ISIT Student Paper Award 2013 IEEE Sweden VT-COM-IT best student paper award Active in journal editorial roles since 2011, currently serving as Associate Editor for IEEE Transactions on Information Theory . The Communication Systems Group he leads maintains open PhD and postdoc positions, with a focus on theoretical machine learning and 6G connectivity research.

Saeid Moslehpourمشاهده پروفایل

دانشیار

• Computer Engineering
• Digital Electronics
• Embedded Systems
• +۶ مورد دیگر

Saeid Moslehpour is Chair and Associate Professor in the Department of Electrical and Computer Engineering at the University of Hartford's College of Engineering, Technology, and Architecture. He holds a Ph.D. in Industrial Technology and Computer Engineering (1993) from Iowa State University, along with multiple degrees from the University of Central Missouri including an Ed.Sp in Industrial Technology. Ph.D., Industrial Technology and Computer Engineering - Iowa State University (1993) Ed.Sp, Industrial Technology - University of Central Missouri MS, Electronics - University of Central Missouri BS, Electronics - University of Central Missouri His research focuses on Soft Processors , Electronic Modeling , and Cyber Learning , with expertise in SPICE modeling, FPGA/VHDL/Verilog programming, microprocessor design, telecommunications, and digital signal processing. He has pioneered laboratory developments including wireless, telecommunications, and surface roughness analysis systems. Recent work includes publications on EEG signal analysis , space systems hazard analysis , and embedded electronics . He received academic honors from Phi Kappa Phi and Epsilon Pi societies and maintains certifications in telecommunications and Cisco networking systems. Phi Kappa Phi Academic Honor Society (1993) Epsilon Pi Industrial Technology Honor Society (1993) Excellent Student Scholarship (1992-94) As an ASEE editor and committee chair, he has shaped engineering education policy and assessment. His industry collaborations with Northern Net Technology and Pars Server Tehran demonstrate practical applications of his work.

Simon Taitمشاهده پروفایل

استاد

• Water Engineering
• Urban Drainage Systems
• Sediment Transport
• +۳ مورد دیگر

Professor Simon Tait, affiliated with the School of Mechanical, Aerospace and Civil Engineering at the University of Sheffield, is a leading expert in water engineering with a focus on urban drainage systems and sediment dynamics. His research integrates experimental and numerical modeling approaches to address challenges posed by climate change, infrastructure deterioration, and pollutant transport. Key Contributions : Development of novel sewer inspection techniques, spin-out instrumentation company with Professor Kirill Horoshenkov, Grand Challenge for Water collaborative initiatives Research Themes : Sediment erosion/transport, near-bed turbulence, climate-resilient infrastructure, heat recovery from buried systems Recent publications analyze free surface turbulence , sewer overflow management , and acoustic pipe defect detection , reflecting his interdisciplinary approach combining environmental fluid mechanics and sustainable urban development . Collaborations span hydraulic engineering , thermal energy storage , and hydrodynamic modeling applications.

Andreas Paul Eberhard Kloecknerمشاهده پروفایل

دانشیار

• Scientific Computing
• Parallel Computing
• Numerical Techniques
• +۷ مورد دیگر

Andreas Paul Eberhard Kloeckner is an Associate Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign (UIUC), where he has been serving since 2013 (promoted to Associate Professor in 2019). He also holds an affiliate faculty appointment in the Department of Electrical and Computer Engineering since 2016. His academic journey includes a PhD in Applied Mathematics from Brown University (2010), an MSc from Brown University (2006), and a Diplom in Applied Mathematics from Universität Karlsruhe (2005). Prior to joining UIUC, he was a Courant Instructor at the Courant Institute of Mathematical Sciences at New York University. Dr. Kloeckner's research focuses on high-order accurate integral equation methods, fast algorithms for elliptic boundary value problems, and code transformation for high-performance scientific computing. His work bridges mathematical theory with practical implementation, with particular emphasis on GPU computing and parallel architectures. He has made significant contributions to the development of open-source scientific software, most notably PyCUDA and PyOpenCL, which have become widely used tools in the scientific computing community. His publication record shows a consistent focus on advancing numerical methods for scientific computing, with recent work emphasizing code generation techniques, fast integral equation solvers, and optimization of algorithms for modern hardware architectures. The trajectory of his publications reveals a progression from foundational work on GPU-based discontinuous Galerkin methods toward increasingly sophisticated approaches for integral equation methods and automatic code generation. Among his notable recognitions is the 2017 National Science Foundation CAREER Award, which supports his work on general-purpose, high-order integral equation methods for computer simulation in engineering. His research has been published in prestigious venues including SIAM Journal on Scientific Computing and has influenced both academic research and practical applications in scientific computing. Dr. Kloeckner has advised numerous graduate students through completion of their PhD and MS degrees, with alumni moving to positions at Apple, NVIDIA, Rice University, and other leading institutions. His research group maintains an active portfolio of open-source software projects that advance the state of scientific computing infrastructure.

Margaret Campbell-Brownمشاهده پروفایل

استاد

• Meteor Physics
• Planetary Processes and Materials
• Earth Observation
• +۳ مورد دیگر

Margaret Campbell-Brown is a Full Professor at the Department of Physics and Astronomy, Faculty of Science, University of Western Ontario. Her primary research focuses on Meteor Physics, investigating risks to spacecraft, and connections between meteoroids, asteroids, and comets as primordial solar system bodies. She contributes to Earth Observation for Societal Impact through the Western Institute for Earth & Space Exploration and the Meteor Physics Group. Research interests include Planetary Processes and Materials, with a focus on meteoroid ablation, fragmentation, and flux modeling. Recent work involves radar meteor shower analysis, spacecraft hazard assessment, and optical flux calculations using the Canadian Automated Meteor Observatory (CAMO) and Global Meteor Network data. Her publications reveal a strong emphasis on meteoroid dynamics, atmospheric entry physics, and observational techniques across optical and radar domains. Key subfields include radar meteorology, fragmenting meteoroids, and interplanetary dust modeling. No specific students or awards were mentioned in the available data.

Michael Kuhnمشاهده پروفایل

پژوهشگر

• Offshore wind energy
• Multiphase flows
• High-fidelity simulations and development
• +۳ مورد دیگر

Michael Kuhn is a Researcher at the National Renewable Energy Laboratory (NREL) , affiliated with the National Wind Technology Center . His research centers on high-fidelity computational fluid dynamics (CFD) for offshore wind energy, focusing on floating wind turbine installations and their interactions with wind, waves, and structures. Kuhn holds a PhD in Mechanical Engineering from Cornell University, a Master’s in the same field from Cornell, and a Bachelor’s from Cedarville University. Education: Bachelor of Mechanical Engineering, Cedarville University Master of Mechanical Engineering, Cornell University PhD in Mechanical Engineering, Cornell University Kuhn’s research interests include offshore wind energy , multiphase flows , and high-fidelity simulations , with a focus on code development for tools like AMR-Wind. His work addresses complex fluid-structure interactions and numerical methods for compressible multiphase flows. Recent publications highlight applications in wind farm simulations, turbine inflow reconstruction, and acoustic field effects on atomization. Scientific Awards: NREL Director’s Award (2022)

Leonidas Mindrinosمشاهده پروفایل

استادیار

• Inverse Problems
• Partial Differential Equations
• Applied Mathematics
• +۷ مورد دیگر

Leonidas Mindrinos has been an Assistant Professor at the National Technical University of Athens (NTUA) since February 2023, specializing in Partial Differential Equations. His academic career includes postdoctoral research at NTUA's School of Applied Mathematics and Physical Sciences (2022), the University of Vienna's Mathematics Department (2019-2022), and the Johann Radon Institute (RICAM) (2018-2019). He served as an assistant professor at the University of Vienna (2013-2018). Education: PhD in Mathematics (University of Vienna, 2018) Doctorate in Applied Mathematics (National and Kapodistrian University of Athens, 2011) MSc in Applied Mathematics (National and Kapodistrian University of Athens, 2007) BSc in Mathematics (National and Kapodistrian University of Athens, 2006) His research focuses on inverse problems, scattering theory, and mathematical modeling of physical systems. Key areas include soil physics , optical coherence tomography , and elastodynamics , with applications in environmental engineering, biomedical imaging, and computational physics. He has developed numerical methods for infiltration parameter estimation, inverse scattering in OCT, and coupled parabolic-hyperbolic transmission problems. Recent publications highlight his work on soil infiltration modeling , electromagnetic wave scattering , and quantitative imaging techniques . These span mathematical formulations, numerical simulations, and experimental validation in agricultural engineering and biomedical contexts.

• Signal Processing
• Communications
• Signals and Systems
• +۴ مورد دیگر

Volker Pohl is a Privatdozent (PD) and researcher at the Chair of Theoretical Information Technology at the Technical University of Munich (TUM), working under Prof. Holger Boche. His research spans theoretical aspects of signal processing, communications, and information theory, with a focus on mathematical foundations and computational limitations. His research interests include Signal Processing , Communications , Signals and Systems , Detection and Estimation , Sampling Theory , Harmonic Analysis , and Functional Analysis . His work explores fundamental theoretical limits in digital computation, particularly regarding causal prediction, spectral factorization, and the simulation of analog systems on digital computers. His publications reveal a consistent focus on mathematical rigor and theoretical boundaries in signal processing applications. His recent publications demonstrate a significant focus on computability theory applied to signal processing problems, showing how certain fundamental operations like causal prediction and spectral factorization face intrinsic computational limitations when implemented on digital systems. His work bridges pure mathematics with practical engineering constraints, revealing theoretical boundaries that affect real-world implementations. Best Student Paper Award (2013) Dr. Pohl teaches courses including Fundamentals of Wavelet and Time-Frequency Analysis for Bachelor students during winter terms and Compressive Sampling for Master students during summer terms. His research appears to be supported by multiple funding sources visible through TUM's research structure, including DFG projects and other collaborative initiatives. He has extensive collaborations, particularly with Prof. Holger Boche, and has co-authored numerous publications across several decades. His work is primarily conducted within the Chair of Theoretical Information Technology at TUM, which appears to be part of broader research networks and collaborations focused on information theory, signal processing, and communications systems.

• Abstract interpretation
• Termination analysis
• Formal languages
• +۱۳ مورد دیگر

James Emil Avery is an Associate Professor at the Department of Computer Science, Faculty of Science, University of Copenhagen. His research spans abstract interpretation, termination analysis, and quantum chemistry applications using Coulomb Sturmians. He actively contributes to program analysis, computational methods in physics, and discrete mathematics. Research areas: Formal languages, operator algebra, quantum theory, and computational nanoscience Academic activities: VILLUM Young Investigator Program (2017), Editor for IET Nanobiotechnology (2017-2021) Technical publications: 15+ works on quantum chemistry methods, graph theory, and parallel computing His recent work includes simulating fullerene formation, solving wave equations on non-Euclidean surfaces, and developing symmetry-adapted basis sets. He has presented at international conferences on topics ranging from wave equation modeling to carbon nanostructure analysis. Scientific Awards: VILLUM Young Investigator Program grant recipient As an active researcher, Avery has participated in collaborative projects like the ERC Starting Grant evaluation and contributed to programming language development through the Bohrium framework. His editorial work at IET Nanobiotechnology demonstrates commitment to scientific peer review.

Hyunsun Leeمشاهده پروفایل

مدرس ارشد

• Statistical data analysis
• Stochastic branching process in wireless ad-hoc network
• Sound generation mechanism for aircraft engine nozzle
• +۲ مورد دیگر

Hyunsun Lee is a Senior Lecturer at the School of Design , University of Massachusetts Amherst , affiliated with the Department of Mathematics and Statistics . She contributes to the M.S. Option in Statistics and holds a PhD in Mathematics from Stony Brook University, alongside M.S. and B.S. degrees in Mathematics from Yonsei University. Education: PhD in Mathematics, Stony Brook University M.S. in Mathematics, Yonsei University B.S. in Mathematics, Yonsei University Research Interests span statistical data analysis, stochastic branching processes in wireless networks, aircraft engine sound generation mechanisms, homogenization for heterogeneous composites, and Rayleigh-Taylor instabilities. These areas intersect applied mathematics, fluid dynamics, and computational modeling. Scientific Awards include the 2017 Golden Apple Award for Excellence in Mentoring at Hawaii Pacific University and a 2021-22 Distinguished Teaching Award nomination at UMass Amherst.

• Nonlinear Dynamics
• Optical Fiber Communication
• Signal Processing
• +۴ مورد دیگر

Prof. Sander Wahls is a Professor at the Institute of Industrial Information Technology (IIIT) at Karlsruhe Institute of Technology (KIT). His research focuses on nonlinear dynamics, optical fiber communication, signal processing, and machine learning applications. He leads the KIT-IIIT team and has contributed significantly to advancing methodologies in nonlinear Fourier transforms, fiber parameter identification, and rogue wave analysis. His work bridges theoretical frameworks with practical implementations in optical systems and marine engineering. Key research interests include nonlinear wave phenomena, soliton-based signal processing, and data-driven approaches for communication systems. His publications highlight innovations in fiber nonlinearity monitoring, machine learning for optical channels, and experimental validations of novel signal recovery techniques. Prof. Wahls' recent work explores the implications of solitons in rogue wave occurrences, leveraging nonlinear Fourier transforms for spectral analysis of buoy measurements. He also investigates fiber parameter estimation using Koopman operators and develops algorithms for blind demultiplexing in optical communication. His research has been applied to real-world scenarios such as oceanographic wave analysis, high-speed optical transmission systems, and environmental monitoring. Collaborations span interdisciplinary areas like ocean engineering and computational mathematics.

Hansong Tangمشاهده پروفایل

استاد

• Coastal Engineering
• Fluid Dynamics
• Numerical Modeling
• +۵ مورد دیگر

Professor Hansong Tang is a faculty member in the Department of Civil Engineering at The City College of New York (CCNY), part of The Grove School of Engineering. He holds a professorial rank and is affiliated with the Earth System Science and Environmental Engineering program. His research focuses on coastal and environmental fluid dynamics, with expertise in numerical modeling of multiphysics systems, including fluid-structure interactions, sediment transport, and infrastructure resilience under extreme events. He has made significant contributions to domain decomposition methods, hybrid modeling frameworks for coastal processes, and computational approaches for complex hydrosystems. Key research areas include: Coastal hydrodynamics and morphodynamics Hybrid computational models for ocean flows Infrastructure vulnerability under climate change Fluid dynamics of energetic suspensions Machine learning applications in coupled PDE solutions His work emphasizes bridging scales in coastal systems (e.g., coupling Navier-Stokes equations with geophysical fluid dynamics models) and addressing challenges in tidal energy generation, storm surge impacts, and hydraulic fracturing fluid behaviors. Recent studies include assessments of New York City coastal bridges' vulnerability to extreme storm surges and investigations into solitary wave impacts on bridge decks. Publications reflect a focus on numerical methods, experimental validations, and environmental engineering applications, with frequent exploration of interface treatment algorithms and error correction techniques in fluid dynamics simulations.

Scott M. Baileyمشاهده پروفایل

استاد

• Space Science
• Atmospheric Science
• Remote Sensing
• +۶ مورد دیگر

Scott M. Bailey is a Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech, affiliated with the College of Engineering. His research focuses on satellite mission design, space science, and atmospheric dynamics with particular emphasis on remote sensing of the upper atmosphere and ionosphere-atmosphere coupling. Education: Ph.D., University of Colorado (1995); M.S., University of Colorado (1994); B.S., Virginia Tech (1990). His research interests include space weather, gravity wave dynamics, and mesospheric processes. He leads studies on polar mesospheric clouds (PMCs), thermospheric nitric oxide, and solar-terrestrial interactions. His work integrates satellite data from missions like AIM, SDO, and TIMED with advanced modeling. Key research themes involve understanding atmospheric coupling mechanisms, planetary wave influences on mesospheric dynamics, and the impact of solar variability on upper atmospheric composition. Notable Awards: Virginia Tech Faculty-Staff Aspire! Award (2023) NASA Group Achievement Awards (2018, 2015, 2012) Society of Technical Communicators Excellence Awards (2016, 2015) Dr. Bailey has contributed to over 50 peer-reviewed publications, focusing on satellite mission design, remote sensing instrumentation, and atmospheric energetics. His work bridges observational science with engineering innovations, including CubeSat-based sensors for polar night nitric oxide detection.

Andrés I. Ávilaمشاهده پروفایل

دانشیار

• Partial Differential Equations
• Numerical methods for PDEs
• High Performance Computing
• +۱ مورد دیگر

Andrés I. Ávila is an Associate Professor in the Department of Mathematical Engineering at the University of La Frontera, Chile. He holds a Ph.D. in Mathematics (1999) and a postdoctoral fellowship (1999) from the University of Missouri. His research focuses on Partial Differential Equations , Numerical Methods for PDEs , High Performance Computing , and Mathematical Modeling . Education Ph.D. in Mathematics (1999), University of Missouri Postdoctoral Fellow (1999–2000), Universidade Estadual de Campinas His work spans nonlinear PDEs (e.g., Schrödinger systems, combustion theory), high-performance computing (Xeon Phi coprocessors, agent-based models), and environmental modeling (floods, wildfires, crop optimization). Articles highlight interdisciplinary applications in physics, biology, and engineering. He has supervised 8 Master’s and 2 Ph.D. students, advised national projects (e.g., Corfo Innovation , Fondef grants), and co-led the National Laboratory for High-Performance Computing (EMC-02) . Collaborations include institutions in Germany, Brazil, and France.

Sanguthevar Rajasekaranمشاهده پروفایل

استاد

• Algorithms
• Big Data Analytics
• AI and Machine Learning
• +۴ مورد دیگر

Sanguthevar Rajasekaran is the Board of Trustees Distinguished Professor and Pratt & Whitney Chair Professor of Computer Science and Engineering at the University of Connecticut. He serves as Director of the School of Computing, leading interdisciplinary research initiatives. His academic roles include overseeing academic programs, research labs, and strategic partnerships in computing and information technology. His research focuses on algorithms, big data analytics, AI/ML, quantum computing, bioinformatics, and high-performance computing. Notable contributions include advancements in record linkage algorithms, IoT time series analysis, quantum algorithms for N-body simulations, and energy-efficient solar PV systems. He has organized major conferences like ICCABS and secured grants such as the NSF Student Travel Grant for computational bio-medical sciences. Rajasekaran has authored over 250 publications across journals and conferences, with recent work emphasizing quantum computing applications, medical data analytics, and cybersecurity in IoT systems. He leads collaborative projects with industry partners and federal agencies, fostering innovation in computational science and engineering.