جست‌وجوی استاد و پژوهشگر

Carlos Argüelles-Delgadoمشاهده پروفایل

پژوهشگر

• Neutrino Physics
• Astrophysics
• High-Energy Particle Physics
• +۳ مورد دیگر

Carlos Argüelles-Delgado is a CIFAR Azrieli Global Scholar (2024-2026) and a researcher in the Department of Physics at Harvard University. His work focuses on high-energy neutrino physics and astrophysics, utilizing IceCube Neutrino Observatory data to explore new physics phenomena. PhD in Physics, University of Wisconsin at Madison MSc and BSc in Physics, Pontificia Universidad Católica del Perú His research spans neutrino mass mechanisms, quantum gravity effects, and astrophysical neutrino sources. He develops advanced reconstruction techniques for neutrino telescopes and contributes to IceCube Upgrade and IceCube-Gen2 projects. 2023 : Cottrell Scholar, Packard Fellow 2021 : Young Scientist Prize in Astrophysics, Sloan Fellowship Students in his group engage in full-cycle experimental analysis, from detector design to physics interpretation. Current efforts include improving IceCube's real-time alert systems and modeling cosmic neutrino fluxes.

Charles Markhamمشاهده پروفایل

دانشیار

• Computer Science
• Biomedical Engineering
• Machine Vision
• +۵ مورد دیگر

Dr. Charles Markham is an Associate Professor in the Department of Computer Science at Maynooth University's Faculty of Science & Engineering. He graduated with a degree in Applied Physics from Dublin City University and earned his PhD in element specific imaging in computerised tomography. His research spans novel imaging systems, biomedical instrumentation, and human-computer interaction with a strong focus on brain-computer interfaces and motion capture technologies. Research Affiliations: Hamilton Institute, ALL Institute Teaching: Robotics, Computer Graphics, Advanced Computer Architecture Professor Markham's research interests center on novel imaging technologies including coded aperture imaging and wide-baseline stereo systems, motion capture and wearable computing with applications in rehabilitation, and mobile machine vision for driving simulation and augmented reality. His work with the Mathematics and Statistics Ecology group demonstrates interdisciplinary interests in ecological modelling . His publication record shows consistent contributions to brain-computer interfaces (2007-2011), driver behavior analysis (2014-2021), motion capture systems (2006-2009), and optical imaging techniques (2001-2008). The research spans multiple disciplines including neuroscience, biomedical engineering, and ecological mathematics. He has supervised several graduate students including D. Kelly (2009 thesis on sign language recognition) and J. Foody (2007 thesis on motion capture biofeedback systems). His collaborations extend across institutions with partnerships at TU Dublin and University College Dublin.

Taras Lakobaمشاهده پروفایل

استاد

• Stability of Numerical Methods
• Perturbation Theory
• Nonlinear Waves
• +۳ مورد دیگر

Taras Lakoba is a Professor in the Department of Mathematics and Statistics at the University of Vermont's College of Engineering and Mathematical Sciences. His research focuses on the stability of numerical methods , nonlinear wave phenomena , and fiber optics , with additional interests in perturbation theory and quantum physics . Education: Ph.D. from Clarkson University. Courses Taught: Calculus III, Applied Linear Algebra, Ordinary Differential Equations, and Independent Study. His recent publications (2012–2024) span topics including numerical method stability, nonlinear Schrödinger equations , all-optical signal regeneration , and quantum phases in 2D materials . These works emphasize computational techniques, optical engineering, and condensed matter physics.

Jose A. Boludaمشاهده پروفایل

دانشیار

• Computer Vision
• Hardware Design
• Image Processing
• +۴ مورد دیگر

Dr. Jose A. Boluda is an Associate Professor in the Department of Computer Engineering at the University of Valencia's School of Engineering. He holds a B.S. in Physics (Electricity, Electronics and Computer Science, 1992) and a Ph.D. (2000) from the same institution. With 6 teaching quinquenios and 4 research sexenios, his academic career spans over two decades. His research focuses on: Computer vision hardware design Smart vision sensors and neuromorphic computing Reconfigurable architectures (FPGA) High-speed motion analysis and change-driven processing Biomimetic visual sensing strategies He has authored over 50 international publications and participated in 15 research projects. His publications predominantly explore: Event-based vision sensors Hardware-accelerated image processing Neuromorphic engineering applications Real-time systems for robotics and 3D scanning Low-power circuit design for computer vision Awards include: Fernando Sapiña Award 2023 for Valencian teaching materials Fernando Sapiña Award 2021 for English teaching materials Fernando Sapiña Award 2021 for Valencian teaching materials He has directed 2 doctoral theses and supervised multiple master's projects. Research includes international collaborations at the University of Virginia, University of Macedonia, and Universitat Jaume I. His lab focuses on developing novel vision sensors and processing architectures.

Liam Barryمشاهده پروفایل

استاد

• all-optical signal processing
• hybrid radio/fibre systems
• wavelength tuneable lasers for reconfigurable optical networks

Liam Barry is a Professor at the School of Electronic Engineering, Dublin City University. He leads the Radio and Optical Communications Laboratory and serves as a Principal Investigator for Science Foundation Ireland (SFI). Previously, he was Director of the Rince Institute (2006–2010) and worked as a Research Fellow at Auckland University and France Telecom's (Orange Labs) Optical Systems Department. His research focuses on all-optical signal processing hybrid radio/fibre systems wavelength tuneable lasers for reconfigurable optical networks . He has authored over 400 peer-reviewed publications and holds 9 patents, with a strong emphasis on advancing optical communication technologies. Liam is actively involved in academic leadership, directing interdisciplinary research initiatives and fostering collaborations in dependable networks and optical systems.

Serkan Özbayمشاهده پروفایل

دانشیار

• Electrical and Electronics Engineering
• Signal Processing
• Computer Vision
• +۴ مورد دیگر

Serkan Özbay serves as an Associate Professor in the Department of Electrical and Electronics Engineering at Gaziantep University's Faculty of Engineering, Turkey. With academic appointments since 2003, he progressed from Lecturer to his current position (2024), maintaining continuous affiliation with the institution where he also completed all his degrees. His career demonstrates deep institutional integration and vertical advancement within the same department. His academic credentials were entirely earned at Gaziantep University: Doctorate (2007-2015): Institute of Science, Electrical and Electronic Engineering Master's (2003-2006): Institute of Science, Electrical and Electronics Engineering (Thesis) Licence (1997-2002): Faculty of Engineering, Electrical and Electronics Engineering Özbay's research centers on signal processing and machine learning applications, with significant contributions to computer vision for medical diagnostics (sinus segmentation, lung cancer detection) and security systems (image/video forgery analysis). His work bridges theoretical algorithms with practical implementations in edge computing and biomedical devices, evidenced by projects like real-time fall detection systems and metamaterial antennas. Recent publications show intensified focus on deep learning since 2020, particularly convolutional neural networks for medical imaging and object tracking. His publication trajectory reveals strategic interdisciplinary expansion: early work (2007-2015) concentrated on spectrum sensing and wireless communications, while post-2020 output pivoted toward AI-driven medical applications and digital forensics. Approximately 70% of his 22 publications (2019-2023) involve deep learning implementations, with strong institutional collaboration patterns—85% co-authored with Gaziantep University researchers. Journal publications predominantly appear in Q2-Q4 SCI-indexed engineering journals, while conference papers target international venues in computer vision and biomedical engineering. As an academic advisor, Özbay has supervised 16 graduate theses (1 PhD, 15 Master's) between 2017-2025, with 11 completed in 2020-2023 alone. Current advisees include students developing Raspberry Pi-based plate recognition systems and real-time fall detection solutions. He additionally mentors 15 undergraduate students in senior design projects annually, as evidenced by 2024 EEE498/499 project meetings. Administrative leadership includes Deputy Head of Department (2016), Erasmus Coordinator (2015-2016), and Institute Board membership (2020-2023).

Adonis Bogrisمشاهده پروفایل

استادیار

• High-Speed All-Optical Transmission Systems and Networks
• Nonlinear Effects in Optical Fibers
• All-Optical Signal Processing
• +۳ مورد دیگر

Adonis Bogris serves as an Assistant Professor in the Department of Informatics at the Technological Educational Institute of Athens, Greece. Additionally, he has been a researcher at the Optical Communications Laboratory of the National and Kapodistrian University of Athens (NKUA) since 2000, contributing to local and European projects. He earned his B.S. in Informatics, M.Sc. in Telecommunications, and Ph.D. from NKUA in 1997, 1999, and 2005, respectively. His academic journey is marked by: Bachelor of Science in Informatics from NKUA (1997) Master of Science in Telecommunications from NKUA (1999) Doctor of Philosophy from NKUA (2005) with a dissertation on all-optical processing using fiber-based devices Dr. Bogris's research spans optical communications and networking, with a focus on high-speed all-optical transmission systems, nonlinear effects in optical fibers and photonic waveguides, all-optical signal processing and networking, and physical layer cryptography. His scholarly contributions include over 80 publications with more than 200 citations. He serves as a reviewer for IEEE, Elsevier, and Optical Society of America journals and has participated in the Technical Committee of IEEE LEOS Winter Topical Meetings. Information regarding his student advising and research grants is not provided in the available sources. He is affiliated with the Optical Communications Laboratory at NKUA, where he has been a researcher since 2000, participating in local and European projects focused on optical communications.

Hercules Simosمشاهده پروفایل

پژوهشگر

• Optical Communications
• Semiconductor Lasers
• Photonic Devices
• +۳ مورد دیگر

Dr. Hercules Simos serves as a Researcher at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, where he has been affiliated with the Optical Communications Laboratory since 1999 through national and European research projects. His academic credentials include: B.S. in Informatics from the University of Athens (1998) M.Sc. in Telecommunications Engineering from the University of Athens (2000) Ph.D. in all-optical wavelength conversion and regeneration subsystems for WDM telecommunication networks from the University of Athens (2007) Dr. Simos specializes in semiconductor laser dynamics and photonic devices for all-optical processing and sensing applications. His research bridges theoretical modeling of semiconductor lasers and optical amplifiers with practical implementations in signal processing subsystems, significantly advancing optical communication network technologies. Current work emphasizes photonic device innovation for next-generation sensing and signal regeneration systems. He operates within the Photonics Technology Laboratory's Optical Communications Laboratory framework, contributing to Greece's national research infrastructure and EU-funded collaborative projects in photonics and telecommunications.

Richard Lombardiniمشاهده پروفایل

استادیار

• Quantum Mechanics
• Computational Physics
• Theoretical Physics
• +۳ مورد دیگر

Richard Lombardini is an Assistant Professor of Physics at St. Mary's University in San Antonio, Texas, a position he has held since August 2013. Previously, he served as Assistant Professor and Chair of the Physics Department at Greenville College from 2009 to 2013, and completed a postdoctoral fellowship in computational chemistry and physics at Rice University under Bruce Johnson from 2006 to 2009. His academic credentials include: Ph.D. in Physics, Texas Tech University, 2006 B.S. in Mathematics and Chemistry, Texas Tech University, 1999 Lombardini's research spans theoretical and computational physics with emphasis on quantum mechanics. His work includes wavelet-based methods for quantum dynamics, quantum trajectory formulations for spin-1/2 systems, nanophotonics, and quantum dot spectroscopy. Recent publications (2023-2024) focus on interacting quantum trajectories and superconducting resonator modeling, while his emerging interest in Quantum Field Theory aims to develop undergraduate pedagogical approaches. Publication analysis reveals an evolution from foundational wavelet applications in quantum chemistry (2006-2010) toward current work on quantum trajectories and superconducting device physics. This trajectory demonstrates consistent innovation in computational algorithms for quantum systems, with increasing interdisciplinary collaboration spanning physics, chemistry, and engineering. No scientific awards were documented in the source material. Lombardini actively mentors undergraduate researchers across diverse theoretical and computational projects, explicitly welcoming work "of all shapes and sizes." His postdoctoral fellowship at Rice University indicates prior grant support, and his ongoing publication record suggests sustained research funding for computational physics initiatives. As a computational physicist, Lombardini maintains a research group focused on high-performance numerical simulations of quantum systems, with recent work involving collaborative development of the ARTEMIS framework for superconducting device modeling.

John R. Barryمشاهده پروفایل

استاد

• Communication Theory
• Wireless Communications
• Optical Communications
• +۴ مورد دیگر

John R. Barry is a Professor at the School of Electrical and Computer Engineering, Georgia Institute of Technology. He holds a Ph.D. in Electrical Engineering from UC Berkeley (1992) and previously worked at Bell Communications Research, IBM, Hughes Aircraft, and General Dynamics. His research spans communication theory , wireless systems , optical communications , and magnetic recording , with a focus on modulation, coding, synchronization, and equalization . Education : B.S., State University of New York at Buffalo (1986) M.S., University of California at Berkeley (1987) Ph.D., University of California at Berkeley (1992) His recent journal and conference publications address multi-cell MIMO , polar codes for recording , two-dimensional magnetic recording , and joint radar-communication systems . Articles span IEEE Transactions on Magnetics , IEEE Transactions on Communications , and Globecom conferences, covering topics like timing recovery at low SNR , iterative equalization , and space-time coding . Scientific Awards : David J. Griep Memorial Prize (1992) Eliahu Jury Award (1993) NSF Research Initiation Award (1993) IBM Faculty Development Award (1993) Senior Member, IEEE He has advised 15 Ph.D. students and 2 M.S. students, including Hyuncheol Park , Chen-Chu Yeh , and Elnaz Sadeghian , all pursuing careers in academia and industry. His lab has received grants for iterative timing recovery , multi-input multi-output (MIMO) systems , and optical wireless communication . Professor Barry's research group has contributed to patents in timing recovery and MIMO detection, with applications in wireless and optical systems. He served as Guest Editor for the IEEE Journal on Selected Areas in Communications and Technical Program Chair for IEEE Globecom 2013 .

Radwin Askariمشاهده پروفایل

دانشیار

• Environmental Geophysics
• Geological Hydrogen
• Energy Transition
• +۴ مورد دیگر

Dr. Radwin Askari is an Associate Professor in the Department of Geological and Mining Engineering and Sciences at Michigan Technological University's College of Engineering. His expertise centers on applied and experimental geophysics, particularly fluid transport in geological settings and associated geophysical signatures like long-period seismic events and volcanic tremors. His academic credentials include: PhD in Geophysics from the University of Calgary MS in Geophysics from the University of Tehran BS in Applied Physics from the University of Hormozgan, Iran Dr. Askari's research spans Environmental Geophysics , Fracture Dynamics and Induced Seismicity , and Heat and Fluid Transport in Porous Media , with recent emphasis on geological hydrogen for environmental conservation and energy transition. He founded the Physical Modeling Laboratory (PML) equipped with state-of-the-art acoustic velocity measurement, low permeability testing, ultrasonic analysis, and high-speed imaging systems. His 2022-2025 publications reveal consistent experimental investigations into Krauklis wave dynamics, seismic signal processing, and machine learning applications for environmental monitoring. Key trends include fluid-flow characterization in fractures, porous media analysis for carbonates, and emerging geological hydrogen storage research. Major recognition includes: National Science Foundation CAREER Award Dr. Askari maintains a diverse, inclusive research group welcoming students from all backgrounds. His robust external funding record, highlighted by the NSF CAREER award, supports laboratory operations and graduate student training. The Physical Modeling Laboratory (PML) serves as the cornerstone of his research, featuring specialized equipment for acoustic velocity measurement, low permeability testing, ultrasonic analysis, and high-speed imaging to investigate fluid-fracture interactions.

• Silicon Photonics
• Microwave Photonics
• Optical Interconnection
• +۲ مورد دیگر

Kiyoto Takahata is an Associate Professor at the Faculty of Science and Engineering, Graduate School of Information, Production and Systems. His research focuses on silicon photonics, optical semiconductor devices, and high-speed optoelectronic integration. Primary research areas include silicon photonics, microwave photonics, and optical interconnection Specializes in electro-absorption modulator integrated distributed feedback lasers Developed membrane lasers and modulators on silicon platforms Recent publications highlight advancements in high-bandwidth photonic devices, with a focus on integrated optics for 100Gb/s+ data transmission. His work includes: Microring resonators for photonic computing MMI couplers for all-optical logic Membrane laser-modulator integration on Si Dispersion-tolerant modulation techniques He has contributed to: Flip-chip interconnection methods Low-voltage operation of optoelectronic devices Multi-lane photonic modules

Paolo Mediniمشاهده پروفایل

دانشیار

• Neuroscience
• Neurophysiology
• Neurobiology
• +۵ مورد دیگر

Paolo Medini is an Associate Professor at Umeå University, affiliated with the Department of Medical and Translational Biology and the Center for Transdisciplinary AI. His research focuses on cortical microcircuits, sensory processing, and brain recovery mechanisms. Neuroscience Neurophysiology Cortical Plasticity Optogenetics His lab investigates how sensory information is processed by distinct cell types in cortical circuits and how these circuits adapt after brain lesions or sensory deprivations. Research spans both adaptive and maladaptive plasticity, aiming to differentiate molecular mechanisms for targeted interventions. Recent publications highlight applications of all-optical interrogation strategies and multisensory integration in the neocortex. Paolo Medini's group employs advanced techniques such as in vivo patch clamp recordings, two-photon calcium imaging, and optogenetics. They use genetically modified strains to study cell-type-specific responses and circuit reorganization post-lesion. Their work is critical for developing therapies in neurodegenerative diseases and cortical repair. Environmental enrichment for brain recovery (Nature Neuroscience) Cortical microcircuit organization (Neuron) Post-stroke plasticity (Journal of Physiology)

• Nanophotonics
• Computational Electromagnetics
• Quantum Optics
• +۳ مورد دیگر

Zongfu Yu is a Professor at the University of Wisconsin-Madison's College of Engineering, Department of Electrical & Computer Engineering. His research bridges photonics, quantum optics, and machine learning, with a focus on nanophotonic devices and computational methods. PhD (2009) and MS (2008) from Stanford University BS (2004) from University of Science and Technology of China Yu's work spans Nanophotonics (metasurfaces, quantum cascade lasers), Radiative Cooling (spectral-selective architectures), and Optical Computing (photonic systolic arrays, coherence-based recognition). Recent projects include leveraging Machine Learning for inverse design of photonic systems and exploring Anderson localization in 3D electromagnetic waves. His publications highlight trends in computational photonics and quantum-classical hybrid systems. Articles focus on GPU-accelerated simulations, metasurface optimization, and nonlinear nanophotonic devices for neural computing. 2024 : Grainger Professorship (UW-Madison) 2021 : H.I. Romnes Faculty Fellowship 2020 : Optica Fellow 2018-2024 : Clarivate Highly Cited Researcher 2018 : NSF CAREER Award 2017 : DARPA Young Faculty Award Yu teaches graduate courses in computational electromagnetics and independent study, supervising research at all levels. His grants include NSF CAREER and DARPA funding, supporting innovations in photonic simulations and quantum emitter modeling.

Xu Yiمشاهده پروفایل

استادیار

• Experimental Atomic, Molecular, and Optical Physics
• Photonics
• Quantum Optics
• +۶ مورد دیگر

Xu Yi is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Virginia School of Engineering and Applied Science. His research focuses on experimental atomic, molecular, and optical physics with applications in photonics and quantum technologies. Academic Rank: Assistant Professor Department: Electrical and Computer Engineering Research Focus: Microcombs, Soliton Physics, mmWave Generation Professor Yi's work explores the intersection of integrated photonics and quantum optics, particularly through silicon nitride (SiN) and lithium niobate microcavities. His recent research emphasizes the development of photonic chip-based systems for optical frequency division, low-noise microwave generation, and quantum state engineering. His publications reveal a strong trend toward advancing soliton microcomb technologies for practical applications in mmWave generation, spectroscopy, and quantum information processing. Key innovations include heterogeneous integration of photodiodes with soliton microcavities and the creation of squeezed quantum microcombs on chip-scale platforms. Contact: xy3m@virginia.edu