جست‌وجوی استاد و پژوهشگر

Andreas Wieserمشاهده پروفایل

استاد

• Geospatial Engineering
• Geomatics
• Geodetic Monitoring
• +۳ مورد دیگر

Prof. Andreas Wieser is a Full Professor of Geosensorics and Engineering Geodesy at ETH Zürich's Department of Civil, Environmental and Geomatic Engineering, leading the Institute of Geodesy and Photogrammetry. His work focuses on advanced measurement systems for high-precision positioning, navigation, and geodetic monitoring of infrastructure and natural environments. Notable contributions include parameter estimation methods, quality control frameworks, and sensor optimization for applications like avalanche monitoring, railway deformation analysis, and CERN's Futur Circular Collider project. Education: PhD in Surveying from TU Graz (2001), Thesis: 'Robust and fuzzy techniques for parameter estimation and quality assessment in GPS' Habilitation at TU Graz (2007), Thesis: 'GPS based velocity estimation and its application to an odometer' Postdoc at University of Calgary (2003-2004) Research Interests: Development of multi-spectral LiDAR systems for material probing and distance measurement Integration of sensor technologies for environmental monitoring (e.g., snow depth analysis, hydroelectric dam deformation) High-precision geodetic infrastructure for large-scale projects like CERN's FCC Algorithmic advancements in point cloud registration, radiometric calibration, and uncertainty quantification Honors: 2006 Karl-Rinner Award (Austrian Geodetic Commission) 2003 Erwin-Schrödinger Fellowship (Austrian Science Fund) 2002 Josef Krainer Sponsorship (State of Styria) Grants & Labs: Alpine Metrology Lab: Long-range TLS and permanent GNSS for geomonitoring Leadership on CERN FCC Geodesy project Development of Comb-based multispectral LiDAR systems His work bridges geomatics with engineering challenges, emphasizing practical implementations of advanced sensor technologies across civil infrastructure, environmental science, and heritage preservation.

• Cardiovascular Engineering
• Biomedical Imaging
• Mechanobiology
• +۵ مورد دیگر

Tzung Hsiai , Professor-in-Residence in the School of Medicine at University of California Los Angeles , is a leading researcher in cardiovascular engineering, biomedical imaging, and environmental health impacts on vascular systems. His work bridges mechanobiology with cutting-edge technologies like light-sheet microscopy, nanoengineered sensors, and machine learning for disease modeling. Key Grants : NIH R01s on shear stress, light-field imaging, and particulate matter effects; T32 training programs. Research Themes : Mechanotransduction in vascular repair, exercise-induced metabolic pathways, SARS-CoV-2 diagnostics, and CAR-NKT cell therapies. Technologies : Wearable impedance sensors for fatty liver detection, graphene oxide antigen-presenting platforms, and wireless cardiac pacemakers. His 2025-2024 publications highlight innovations in deep tissue sound printing, synthetic antigen-presenting cells, and AI-enhanced microscopy. Recent awards include the Maud Cady Guthman Chair in Cardiology (2018-2023). Collaborations span hematology, bioengineering, and nanotechnology. Scientific Awards Maud Cady Guthman Chair in Cardiology (2018-2023) Key Collaborations : Teams with Khademhosseini, Gao, Yang, and Zhou on biofabrication and AI-driven diagnostics.

Chang Liuمشاهده پروفایل

مدرس ارشد

• Laser Spectroscopy
• Tomography
• Data-Driven Imaging
• +۳ مورد دیگر

Dr. Chang Liu is a Senior Lecturer in Electronic Engineering at the University of Edinburgh's School of Engineering. He received his B.Sc. in Automation from Tianjin University (2010) and Ph.D. in Testing, Measurement Technology and Instrument from Beihang University (2016). Following postdoctoral research at Empa-Swiss Federal Laboratories, he joined the Agile Tomography Group at Edinburgh. His research focuses on laser spectroscopy, laser imaging, and data-driven imaging techniques for applications in reacting flow-field diagnostics and environmental monitoring. Key specialties include design of near/mid-infrared LAS sensing systems, development of high-sensitivity imaging methodologies, spectroscopic modeling, inverse problem solving, and embedded system design. His publications demonstrate a consistent focus on advancing tomographic imaging techniques, with recent work emphasizing machine learning integration, hardware acceleration, and industrial applications in aero-engine monitoring. Research consistently addresses challenges in spatial/temporal resolution enhancement and real-time system implementation. Dr. Liu teaches courses in Digital System Design, Analogue Circuits, and Embedded Systems. He leads multiple research projects including EPSRC-funded initiatives on laser imaging of turbine engine combustion species. His team collaborates with industrial partners to develop cutting-edge laser-based sensing solutions.

• Fluid Dynamics
• Biophysics
• Material Science
• +۳ مورد دیگر

Dr. Mazi Jalaal is affiliated with the Faculty of Science at the University of Amsterdam. His research focuses on fluid dynamics, soft matter physics, and biophysics, particularly in the behavior of viscoplastic fluids, microdroplet dynamics, and biological systems like dinoflagellates. His work integrates experimental, computational, and theoretical approaches to study complex fluid phenomena and biological processes. Research interests include: Fluid dynamics in viscoplastic and yield-stress systems Microscale hydrodynamics and droplet behavior Biological fluid-structure interactions in microorganisms Optical and laser-induced fluid deformations Optimization of biological and engineered systems Recent publications highlight trends in droplet microswimmers, light-regulated biological systems, and computational modeling of bubble and filament dynamics. His work bridges fundamental physics with applications in biotechnology and material science. No scientific awards are explicitly mentioned in the provided texts. Collaborative efforts are evident in studies involving microbial systems, additive manufacturing, and rheological fluid behavior.

Omar Skalliمشاهده پروفایل

استاد

• Cytoskeleton Dynamics
• Brain Tumor Biology
• Cell Motility
• +۲ مورد دیگر

Dr. Omar Skalli is Professor of Biological Sciences at the University of Memphis College of Arts and Sciences and Director of the Integrated Microscopy Center. He holds a PhD in Molecular Biology from the University of Geneva and completed postdoctoral training at Northwestern University. Research investigates cytoskeletal regulation in brain tumor cells, examining how proteins like synemin and α-actinin influence glioblastoma proliferation, motility, and morphology. Additional interdisciplinary collaborations study cellular responses to novel biomaterials and advanced microscopy applications. Recent publications demonstrate advances in super-resolution microscopy techniques, neural scaffold engineering, and molecular mechanisms in neuro-oncology. Research consistently bridges cell biology with materials science and optical engineering.

• Database Information Management
• Big Data Management Systems
• Data Structures
• +۳ مورد دیگر

John Tsaknakis is an Associate Professor at the Department of Electrical and Computer Engineering, School of Engineering, University of Peloponnese. He holds a PhD in Computational Geometry and Multidimensional Data Structures from the University of Patras (2004), following a diploma in Computer Engineering and Informatics (1996). His research focuses on Information Management in Databases, Big Data Systems, Data Structures, and Knowledge Mining in Web-based contexts. Since 2004, he has contributed to numerous research and development projects, particularly in software systems and data management. His work spans theoretical advancements and practical applications, including AI-driven labor market analysis, energy demand forecasting, and interoperable social protection frameworks. Research interests include database optimization, computational geometry, and leveraging big data for societal challenges. His publications reflect a blend of technical innovation and real-world problem-solving, with recent work addressing pandemic impacts on employment and AI’s role in reducing gender disparities. He is accessible in Building K on Mondays and Tuesdays, 8:00–9:00 AM, though prior arrangement is recommended. Dr. Tsaknakis collaborates on international projects, such as World Bank initiatives in social protection systems, and maintains active involvement in academic administration and teaching. His contributions to the field are further highlighted through his curriculum vitae and ongoing engagement in the academic community.

Younes Ra’diمشاهده پروفایل

استادیار

• Theoretical and Applied Electromagnetics
• RF and Microwave Engineering
• Antennas and Propagation
• +۴ مورد دیگر

Younes Ra’di is an Assistant Professor at Syracuse University's College of Engineering and Computer Science, Department of Electrical Engineering. He holds a Sc.D. from Aalto University (2015). His research focuses on engineering electromagnetic wave-matter interactions, including metasurfaces, antennas, and artificial materials. He has pioneered new concepts in RF/microwave materials and wavefront manipulation, with experimental/theoretical work in nanophotonics and plasmonics. His interdisciplinary team secured the 2022 CUNY Interdisciplinary Research Grant. Education: Sc.D. in Electrical Engineering from Aalto University (2015). Research interests emphasize tailoring electromagnetic phenomena through advanced materials and structures. Key areas include broadband absorption systems, nonlinear metasurfaces, and time-domain photonics. His work bridges theoretical electromagnetics with applied engineering, addressing challenges in wireless communications and antenna design. Recent publications highlight breakthroughs in ultrathin absorbers, metasurface cloaking, and photonic time interfaces. Articles span Nature Communications, IEEE journals, and Physical Review series. Grants/Awards: 2022 CUNY Interdisciplinary Research Grant. Active in collaborative research with leading groups in light-matter interaction. He advises students in experimental/theoretical electromagnetics and leads projects on next-generation wireless systems. His lab develops functional metamaterials for applications in antennas, energy harvesting, and sensing.

• Semiconductor Physics
• Materials Science
• Nanotechnology
• +۳ مورد دیگر

Thomas Griffiths is a Researcher at King's College London with a Doctor of Philosophy in History. His research focuses on semiconductor materials, nanotechnology, and optoelectronic devices, with a strong emphasis on advanced materials characterization and device optimization. Education: Doctor of Philosophy in History, King's College London. Research interests include the structural and optical properties of semiconductor nanomaterials such as InGaN quantum wells, GaN-based devices, perovskite nanocrystals, and metal-organic frameworks (MOFs). His work bridges materials science and applied physics, addressing challenges in high-speed telecommunications, optoelectronic component design, and nanomaterial synthesis. Articles highlight trends in: Optimization of semiconductor materials for high-performance electronics and photonics Development of advanced fabrication techniques for nanoscale devices Exploration of novel materials for next-generation optoelectronic applications No scientific awards or grants are explicitly mentioned in the provided texts. No formal advisees are listed.

Changyang Linghuمشاهده پروفایل

استادیار

• Biomedical Engineering
• Cell Biology
• Developmental Biology
• +۵ مورد دیگر

Changyang Linghu, Ph.D., is an Assistant Professor in the Department of Cell and Developmental Biology at the University of Michigan. His research focuses on developing innovative tools for molecular recording, optogenetic control, and advanced imaging techniques to study cellular and neural dynamics. He is affiliated with the Spatial Biodynamics Lab and holds a B.Eng. from Tsinghua University and a Ph.D. from MIT. Education: Ph.D., Massachusetts Institute of Technology, 2019 B.Eng., Tsinghua University, 2013 Research Interests: Dr. Linghu’s work spans synthetic biology, neuroscience, and biomedical engineering. He designs novel fluorescent reporters and optogenetic tools to study intracellular processes, neuronal signaling, and complex biological systems. Key themes include molecular recording systems, spatially resolved imaging, and precision optogenetic control of single cells. Publications: His recent work emphasizes scalable gene regulation monitoring, high-speed microscopy innovations, and optogenetic technologies for neural circuit analysis. The research bridges engineering and biology, with applications in understanding cellular memory, signaling networks, and neural activity. Labs & Teams: The Spatial Biodynamics Lab focuses on developing next-generation tools for dynamic biological systems analysis, integrating molecular engineering, imaging, and computational methods.

Byung Kimمشاهده پروفایل

استاد

• Biophysics
• Condensed Matter Physics
• Nanotechnology
• +۳ مورد دیگر

Byung Kim is a Professor in the Department of Physics at Boise State University, with affiliations in the Graduate Program in Biomolecular Science and the Biomedical Engineering graduate program. His research focuses on biophysics and condensed-matter experiments, particularly investigating self-assembled water chains in biomolecular interactions using cantilever-based optical interfacial force microscopy (COIFM). He develops COIFM biosensors for proteomic screening and explores humidity-dependent structural transitions in nanoscopic systems. Kim holds a Ph.D. in Physics from Seoul National University. His work bridges physics and biology, emphasizing nanoscale phenomena such as interfacial water dynamics, phase transitions, and sensor technology. His recent publications (2022) highlight experimental and theoretical advances in understanding water chain self-assembly, entropy-driven forces, and long-range condensation effects. Kim’s research also involves advanced atomic force microscopy (AFM) techniques, including high-speed imaging, force-feedback systems, and nanomechanical characterization of soft materials. His lab, located in Science Bldg Room 414, focuses on interdisciplinary applications of microscopy to biomolecular and biomedical challenges.

• Computer Vision
• Medical Imaging
• Deep Learning
• +۴ مورد دیگر

Zhifeng Wang is a Professor at the National University of Defense Technology's School of Computer Science, specializing in computer vision, medical imaging, and artificial intelligence. His research spans multiple application domains with a recent focus on medical image synthesis, 3D reconstruction, and fluid dynamics simulation. Research interests include developing advanced AI techniques for medical imaging applications, particularly in vascular structure analysis and synthesis. His work bridges computer vision with healthcare applications, focusing on creating anatomically accurate 3D representations without invasive procedures. He has made significant contributions to diffusion models, neural radiance fields (NeRFs), and meta-learning frameworks for cross-domain applications. His publication record shows a clear progression from foundational work in graph algorithms and communications systems to cutting-edge medical AI applications. Recent work demonstrates expertise in combining state space models with diffusion techniques for medical image generation, showing particular strength in maintaining anatomical continuity in 3D vascular structures. While specific awards aren't documented in the provided information, his publications in top venues including CVPR 2025 indicate significant recognition in the computer vision community. His collaborative work spans multiple institutions and research domains, suggesting an active research group with diverse funding sources. His laboratory appears to focus on medical imaging AI, with particular emphasis on non-invasive diagnostic techniques. Current projects involve developing sophisticated diffusion models that can generate high-fidelity angiographic images from non-contrast inputs, potentially reducing patient exposure to harmful contrast agents.

• Optical Networking
• Smart Grids
• Network Algorithms and Protocols
• +۶ مورد دیگر

Emmanuel Varvarigos is a Professor at the School of Electrical and Computer Engineering of the National Technical University of Athens (NTUA), where he directs the High Speed Communication Networks Laboratory (HSCNL). He holds a B.E. from NTUA (1988) and a Ph.D. from MIT (1992). His career includes roles as Assistant/Associate Professor at UCSB (1992–1998), Associate Professor at TU Delft (1998–1999), and Professor at the University of Patras (1999–2015). He has led major research initiatives, including directorships at the Greek School Network and EAIT/ICT-Diofantos. His research focuses on optical networks, smart grids, cloud computing, and network algorithms. Education: B.E. in Electrical & Computer Engineering, NTUA (1988) Ph.D. in Electrical Engineering & Computer Science, MIT (1992) His research interests span optical networking (flexible OFDM, elastic bandwidth), smart grid optimization, cloud-edge computing, and distributed system protocols. He has authored over 450 publications and led 35+ EU projects, including coordinations of H2020 initiatives like ORCHESTRA and FLEXGRID. Awards include the Vinton Hayes Award and NSF recognition. Current roles include HSCNL directorship, overseeing 5 postdocs and 10+ PhD students. His HSCNL lab addresses challenges in high-speed networks, data centers, and energy grids, collaborating globally on projects like ORCHESTRA (optical networks) and SOCIALENERGY (smart grids).

Thomas Sykesمشاهده پروفایل

استادیار

• Fluid Dynamics
• Complex Fluids
• Droplet Phenomena
• +۴ مورد دیگر

Dr Thomas Sykes is an Assistant Professor (Research & Teaching) at the University of Warwick's School of Engineering, leading the SykesLab within the Fluid Dynamics Research Centre. He holds a BSc in Mathematics from the University of Leeds (2016) and a combined MSc/PhD in Fluid Dynamics from the EPSRC Centre for Doctoral Training at Leeds. Previously, he was a postdoctoral researcher at the University of Oxford's Fluid Dynamics Research Lab, working on droplet dynamics and free surface flows, including a joint grant with Warwick and Brown University. He also served as a Lecturer at Wadham College, Oxford, teaching Engineering Science courses. His research focuses on small-scale free surface phenomena in droplets, interfaces, and complex fluids, combining experiments (e.g., high-speed imaging), numerical simulations (OpenFOAM/Basilisk), and mathematical modeling. He currently teaches Dynamics & Thermodynamics, Engineering Mathematics, and supervises individual projects at Warwick. He is actively recruiting a PhD student in droplet dynamics. Research areas span droplet impact dynamics, surfactant effects, chiral liquid crystal structures, and colloidal sedimentation. Teaching responsibilities include ES190, ES193, ES327, and ES3D6 modules. His lab (SykesLab) is located in D004f (Warwick campus). Professional networks include LinkedIn, Google Scholar, and ResearchGate. Office hours are by email arrangement. No scientific awards are explicitly listed in the provided text. His collaborative projects include work with international universities and grants focusing on droplet printing and fluid dynamics simulations. He co-supervises several PhD students and emphasizes interdisciplinary approaches to fluid mechanics challenges.

Xun Liمشاهده پروفایل

استاد

• Semiconductor Laser Diodes
• Integrated Optoelectronic Devices
• Nanophotonics
• +۵ مورد دیگر

Dr. Xun Li is a Professor of Electrical & Computer Engineering and Associate Chair (Undergraduate) at McMaster University. He holds adjunct faculty positions at multiple Chinese institutions, including Huazhong University of Science and Technology. His expertise spans semiconductor lasers, photonic devices, and fiber-optic communication systems. He has authored/co-authored nearly 200 journal papers and holds over 30 patents globally. Education: B.Sc. (Shandong University, 1982), M.Sc. (Wuhan Research Institute, 1984), Ph.D. (Beijing Jiaotong University, 1988). Professional memberships include IEEE, Optica, and SPIE. Notable awards include top 2% global citations (Stanford) and early-career accolades in China. Research focuses on optoelectronic device design, nanophotonics, and metamaterials. Recent work includes high-speed photodetectors, on-chip biosensors, and plasmonic systems. Teaching includes graduate courses on photonic device modeling and undergraduate engineering design.

• Mechanical Engineering
• Vibration Analysis
• Laser Technology
• +۵ مورد دیگر

Professor Steve Rothberg serves as Provost and Deputy Vice-Chancellor at Manchester Metropolitan University since January 2023, overseeing strategic academic planning and regional engagement. Previously, he held senior roles at Loughborough University, including Pro Vice-Chancellor for Research and Dean of Engineering. He earned his BSc and PhD in Mechanical Engineering from the University of Southampton's Institute of Sound and Vibration Research. His research focuses on vibration measurement techniques , particularly using laser Doppler vibrometry for rotors, noise control in machinery, and energy harvesting systems. He pioneered innovations in engineering education, including the creation of a teaching excellence center at Loughborough. His work on sports equipment design (golf, tennis) bridges mechanical engineering and human perception. Key awards: Queen’s Anniversary Prize (2021), National Physical Laboratory Award, and Society of Experimental Mechanics recognition External roles: EPSRC Research Infrastructure Advisor, Athena Swan Panel Chair, Greater Manchester Business Board member His publications span over 30 years, addressing laser vibrometry applications, nonlinear energy absorbers in engines, and measurement correction methodologies. He has led major research initiatives including Loughborough’s successful REF 2021 submission.