جست‌وجوی استاد و پژوهشگر

• Focused Ultrasound
• Neuromodulation
• Epilepsy
• +۷ مورد دیگر

Spencer T Brinker is an Adjunct Assistant Professor at the Yale School of Medicine, specializing in focused ultrasound technology for neurological applications. His research spans neuromodulation, epilepsy treatment, and anesthesiology, with a focus on developing clinical ultrasound systems and MRI-guided interventions. He holds a PhD in Mechanical Engineering from the University of Illinois at Chicago (2016) and leads research in transcranial ultrasound stimulation, device development, and multimodal imaging techniques. His work includes pioneering studies on schizophrenia and status epilepticus treatment, as well as advancements in neuronavigation and acoustic mapping technologies. Education: PhD in Mechanical Engineering, University of Illinois at Chicago (2016) Research Interests: Dr. Brinker’s work combines biomechanical engineering with clinical neuroscience, targeting non-invasive brain therapies. Key areas include: Development of focused ultrasound platforms for neuromodulation Multimodal imaging integration (MRI/elastography) Clinical translation of transcranial ultrasound systems His studies often emphasize device innovation and translational applications in neurological disorders. Publications Overview: His recent articles explore transcranial ultrasound efficacy in schizophrenia, global intracranial sonication, and MRI-guided systems. Themes include technical advancements in beam modeling, acoustic mapping, and clinical feasibility. Labs/Teams: His research is supported by collaborations within Yale’s biomedical engineering and neurology communities, leveraging advanced imaging and device fabrication facilities.

Christian Berenمشاهده پروفایل

استاد آموزشی

• Virology
• Biophysics
• Self-Assembly
• +۳ مورد دیگر

Christian Beren is a Teaching Professor in the Department of Chemistry at Colorado School of Mines. His research focuses on the physical principles of viral self-assembly, using biochemical and biophysical tools to study how viral genomes and capsid proteins spontaneously form virus-like particles. He collaborates on applications of these particles for therapeutic purposes. In education, he emphasizes inquiry-based methods to enhance hands-on learning in undergraduate chemistry. He holds a BS from Lehigh University and a PhD from the University of California, Los Angeles. His work bridges fundamental biophysical research with practical applications, particularly in understanding RNA structure's role in viral assembly and developing educational strategies that integrate interdisciplinary research experiences. Beren's research publications explore topics such as RNA secondary structure effects on capsid formation, enzymatic RNA synthesis, and the design of amphiphilic materials. His studies often employ single-particle analysis and microscopy techniques to investigate self-assembly dynamics. His educational contributions aim to inspire students through project-based learning and exposure to cutting-edge research methodologies.

• Multiphysics Modelling
• Non-Newtonian Flow
• Renewable Energy
• +۳ مورد دیگر

Dr Alison Williams is a Senior Lecturer in Mechanical Engineering at Swansea University, affiliated with the School of Aerospace, Civil, Electrical and Mechanical Engineering. She specializes in multiphysics modeling of complex flows, particularly in renewable energy systems such as tidal turbines and marine energy devices. As a member of the Marine Energy Research Group, her work focuses on computational modeling to assess marine energy device performance and environmental interactions. She collaborates with Welsh SMEs to evaluate marine renewable energy feasibility. Her research interests include multiphysics modeling, non-Newtonian flows, and renewable energy systems. Notable projects involve tidal turbine array optimization, CFD validation using experimental facilities like FloWave, and techno-economic evaluations of tidal energy deployment. She has supervised PhD and EngD students in tidal energy and computational modeling. Dr. Williams has published extensively in journals like Renewable Energy, Ocean Engineering, and Energy, with a focus on tidal energy systems, computational fluid dynamics, and turbine performance analysis. Her work bridges academic research with industrial applications, contributing to sustainable energy solutions.

Saikat Dattaمشاهده پروفایل

مدرس ارشد

• Micro/Nanofluidics
• Multiphase Flow
• Multiscale Modelling
• +۶ مورد دیگر

Dr. Saikat Datta is a Senior Lecturer in Mechanical Engineering at Swansea University's Faculty of Science and Engineering. He holds a PhD from the Indian Institute of Technology Kharagpur (2018) and completed postdoctoral research at the University of Edinburgh. His research focuses on micro/nanofluidics, multiphase flow, and multiscale modeling using molecular dynamics and computational fluid dynamics. He has published in top-tier journals like Nano Letters and received the Leverhulme Trust Early Career Fellowship (2021) for his work on vibration-driven de-icing. Education: PhD in Mechanical Engineering, IIT Kharagpur (2018) Postdoctoral Research Associate, University of Edinburgh (2018–2021) Research Interests: Molecular dynamics simulations of nanoscale fluid behavior Computational fluid dynamics (CFD) for multiphase systems Vibration-driven de-icing and anti-icing technologies Mesopore transport in unconventional energy systems Acoustothermal effects on surface phenomena Advising & Grants: Principal Investigator: EPSRC Tier-2 Cirrus Service grant for ultrahigh-frequency vibration studies (2023–2024) Co-PI: UKRI ARCHER2 HPC grant for freeze-desalination research (2024) Awards: Leverhulme Trust Early Career Fellowship (2021)

• Computer Algebra
• Sparse Interpolation
• Symbolic-Numeric Computation
• +۴ مورد دیگر

Wen-shin Lee is a Lecturer at the University of Stirling's Division of Computing Science and Mathematics, specializing in computational mathematics and signal processing. Her research focuses on exponential analysis, sparse interpolation, and symbolic-numeric computation. She holds a PhD from North Carolina State University and has held positions at institutions like the University of Antwerp and INRIA. Current affiliations include the Computational Mathematics and Optimisation Research Group (COMMON). Education: Bachelor’s in Mathematics, National Taiwan University PhD in Computational Mathematics, North Carolina State University Research Interests: Her work bridges computer algebra and signal processing, emphasizing applications like antenna positioning, radar imaging, and texture decomposition. Recent trends include sub-sampled exponential analysis, validated algorithms, and high-resolution signal reconstruction from sparse data. Labs/Groups: Active in the COMMON group at the University of Stirling and collaborates on the EXPOWER project (Exponential Analysis Empowering Innovation).

• Numerical Analysis
• Computational Mathematics
• Nonlinear Dynamics
• +۳ مورد دیگر

Hadjifotinou Katerina is a Lecturer in the Department of Mathematics at Aristotle University of Thessaloniki (AUTh), where she has been part of the academic staff since 2017. Previously, she served as a Contracted Lecturer at AUTh from 1998 to 2011, followed by roles as a Trainer for Computer Science teachers (2012–2017) and Professor of Computer Science in Secondary Education (1995–2017). Her educational background includes a PhD in Mathematics from AUTh (Numerical Analysis), an MSc in Mathematics-Computing from Queen Mary University of London, and a BSc in Mathematics from AUTh. Academic Affiliations: Faculty of Science, Department of Mathematics Professional Roles: Active academic staff since 2017 Her research focuses on Numerical Analysis , Computational Mathematics , and Nonlinear Dynamics , with emphasis on interpolation methods, numerical integration of differential equations, and stability analysis of dynamical systems. Key interests include applications to celestial mechanics, Hamiltonian systems, and bifurcation theory. Her publications span studies on orbital dynamics, numerical algorithms, and bifurcation analysis, including works on trans-Neptunian objects, restricted N-body problems, and symplectic mapping models. Recent research explores stationary solitons in discrete systems and high-dimensional curve-following algorithms for nonlinear equations. Selected Awards: None explicitly mentioned Her academic advising and grant activities are not detailed in the current profile. She is affiliated with the Department of Mathematics labs and teams involved in computational mathematics and dynamical systems research.

Roel Baetsمشاهده پروفایل

استاد

• Silicon Photonics
• Photonic Integrated Circuits
• Optical Sensors
• +۴ مورد دیگر

Roel Baets is a Professor at Ghent University's Department of Information Technology (INTEC), affiliated with the Faculty of Engineering and Architecture. He leads research in silicon photonics, photonic integrated circuits, and their applications in biomedical engineering, environmental monitoring, and sensor technology. His work bridges academic and industrial collaboration through platforms like ePIXfab and Imec. Key roles include leading the Photonics Research Group and serving as a Fellow of the Optical Society (OSA) and IEEE Photonics Society. His research focuses on developing innovative photonic sensors (e.g., laser Doppler vibrometers, optical fiber Bragg sensors) and advancing heterogeneous integration techniques. Recent projects include clinical validation of cardiovascular monitoring systems and non-contact photoacoustic imaging. He also explores sustainable photonics solutions and environmental applications, such as solar radiation impact studies and CO₂ sensing. Notable achievements include pioneering work in micro-transfer printing for III-V/Si photonics and developing the Turbidimeter for low-resource healthcare settings. His awards reflect his contributions to photonics' theoretical and applied advancements, emphasizing interdisciplinary applications in medicine and sustainability.

• Fluid Mechanics
• Turbulence Control
• Renewable Energy Systems
• +۳ مورد دیگر

Dr. Yaqing Jin is an Assistant Professor of Mechanical Engineering at the University of Texas at Dallas (UTD) , affiliated with the Erik Jonsson School of Engineering and Computer Science . His research focuses on fluid dynamics, turbulence control, and renewable energy systems, particularly in the context of wind turbine aerodynamics and boundary layer dynamics. He leads the Fluids, Turbulence Control & Renewable Energy Lab , exploring advanced strategies for optimizing energy systems through experimental and computational methods. Research interests include: Fluid-structure interactions in complex flows Turbulence control via riblet designs and wake steering Wind farm optimization and power maximization Sediment dynamics in vegetated environments Aeroelastic behaviors of flexible structures Recent work emphasizes wind turbine performance under yaw misalignment, multi-scale riblet drag reduction, and the dynamics of flexible vegetation canopies. He has pioneered extremum-seeking control algorithms for wind farm efficiency and explored novel configurations for turbine arrays. Publications highlight advances in understanding unsteady aerodynamic loads, wake dynamics, and sediment transport. Ongoing projects address offshore wind farm integration and smart material applications in renewable energy systems.

• Computational fluid dynamics
• Multiphase flow
• Aerodynamics
• +۱ مورد دیگر

Knut Erik Teigen Giljarhus is an Associate Professor at the University of Stavanger's Faculty of Science and Technology within the Department of Mechanical and Structural Engineering and Materials Science. Appointed to a full-time faculty position in 2018 after transitioning from industry roles, he currently serves as Study Program Leader for Mechanical Engineering programs since 2020. Education: PhD from the Norwegian University of Science and Technology (NTNU) Research Interests: His primary expertise lies in Computational Fluid Dynamics (CFD) , with significant contributions to multiphase flow systems (oil/water separation, annular displacements), urban aerodynamics (pedestrian wind comfort, building interactions), and biomedical fluid applications (blood pumps, vascular flow). He employs advanced numerical methods including lattice Boltzmann modeling, large eddy simulations, and machine learning integration for rapid wind prediction. Publication Trends: Analysis of his 2024-2025 output reveals strategic expansion into ML-enhanced CFD for urban wind assessment while maintaining core multiphase flow research. Key themes include non-Newtonian fluid behavior in medical contexts, density-unstable displacement mechanisms, and aerodynamic optimization for sports engineering—all published in high-impact journals like Physics of Fluids and Building and Environment . Scientific Awards: No awards or fellowships were documented in the provided materials Advising and Grants: Formal advisees are not listed in the source material No research grants or funding sources are explicitly mentioned Labs and Teams: As Study Program Leader, he directs mechanical engineering curriculum development at the University of Stavanger. His research leverages the Department's computational facilities and collaborates with SINTEF Energy Research (evidenced in publications) alongside international partners in biomedical engineering and urban wind studies.

• Neuroscience
• Biomedical Engineering
• Transcranial Magnetic Stimulation
• +۵ مورد دیگر

Heikki Sinisalo is a Visiting Professor at the Department of Neuroscience and Biomedical Engineering at Aalto University. His research focuses on advanced brain-stimulation technologies, particularly transcranial magnetic stimulation (TMS) integrated with magnetic resonance imaging (MRI) and digital signal processing . Education: Doctor of Technology (Teknillinen fysiikka) – Aalto University, 30 Jun 2025 Diploma Engineer (Tietotekniikka) – Aalto University, 16 Nov 2018 Bachelor of Technology (Sähkötekniikka) – Aalto University, 20 Jun 2016 Sinisalo has pioneered multi-locus TMS systems for clinical and preclinical applications, emphasizing high-precision timing , ultra-high-field MRI compatibility , and pulse-width modulation to enhance stimulation accuracy. His work bridges engineering with neuroscience, targeting cortical and brain-stimulation advancements. In recent years, Sinisalo’s publications highlight innovations in closed-loop TMS , multi-coil configurations , and rapid stimulation protocols . Key technologies include field-programmable gate arrays , capacitor voltage optimization , and digital interfaces for real-time neuromodulation. He actively contributes to research infrastructure, having organized the TMS–EEG Summer School and Workshop (2022) , fostering collaboration between engineers and neuroscientists. His work also includes open-access datasets, such as the High-Precision Timing Method for Closed-Loop TMS (Zenodo, 2024).

Irena Zivkovicمشاهده پروفایل

مدرس

• MRI Hardware Development
• Antenna Engineering
• RF Coil Design
• +۲ مورد دیگر

Irena Živković is a Lecturer in the Department of Electrical Engineering at Eindhoven University of Technology (TU/e), where she specializes in Integrated Circuits and leads research in MRI Hardware Development. She is affiliated with the Center for Care & Cure Technology Eindhoven, focusing on cutting-edge biomedical engineering solutions. Her work bridges antenna design, electromagnetic systems, and clinical imaging technology. Her research centers on optimizing MRI hardware for ultra-high-field (7T+) and low-field systems, with innovations in: Coaxial cable coils for enhanced signal-to-noise ratios Monopole antennas for head/spine imaging Twisted-pair transmission lines for flexible, robust array elements Dielectric materials to improve transmit efficiency Recent publications (2023-2025) demonstrate a strong focus on coil miniaturization, electromagnetic interference mitigation, and SAR reduction—critical for advancing high-resolution diagnostic imaging. She teaches specialized courses including Electromagnetic Fields in MRI and Introduction to NMR/MRI , emphasizing hardware-software integration in medical imaging systems.

• Embedded Systems
• RF Technologies
• Bluetooth Low Energy (BLE)
• +۴ مورد دیگر

Boegli Alexis is an Associate Professor at Haute Ecole Arc - Ingénierie (HES-SO) since 2018, with a PhD in Science from the University of Neuchâtel. Specializing in embedded systems, RF technologies, and energy-efficient electronics, he focuses on applications requiring high constraints such as energy autonomy and compactness. His research spans BLE-based localization, dielectric elastomer actuators, and energy harvesting for biomedical devices. His educational background includes a BSC in Computer Science and Communication Systems from HES-SO and advanced studies in Microengineering at EPFL. He teaches courses like Electrotechnics I and co-supervises doctoral students in interdisciplinary projects. Key research areas include: RF Localization Systems (BLE AoA/AoD) High-Voltage Electronics for Capacitive Actuators Zero-Power Wearable Energy Harvesting Smart Sensor Networks Recent work demonstrates sub-meter accuracy in IoT localization systems using BLE and developed ultra-high-voltage (7kV) converters for dielectric elastomer actuators. His 2025 research explores inverted actuation cycles for facial prosthetics, reducing energy consumption by 1.5%. Patents include a BLE-based access control system combining RF positioning and video analysis (2022) and a real-time regulatory compliance method for wireless transmitters (2013). Collaboration with EPFL and CSEM drives technology transfer in industrial and biomedical applications. His projects often involve Innosuisse, SNSF, and industry partners.

• Microwave Engineering
• Electromagnetic Materials
• Sensing Technologies
• +۳ مورد دیگر

Nezihe KARACAN is a Researcher at the Department of Electromagnetic Fields and Microwave Techniques, Suleyman Demirel University. She holds a Licentiate in Electronics and Communications Engineering (2017) and is completing her Doctorate in Electrical-Electronic Engineering (expected 2024). Her academic role began as a Research Assistant in 2022 and continues to the present. Education: Licentiate: Suleyman Demirel University, Electronics and Communications Engineering (2017) Doctorate (Ongoing): Suleyman Demirel University, Electrical-Electronic Engineering (Expected 2024) Research Interests: Nezihe specializes in electromagnetic wave absorption mechanisms, dielectric resonator applications, and microwave engineering. Her work focuses on designing full-dielectric absorbers for chemical sensing, optimizing resonator geometries, and analyzing boundary condition effects on absorption spectra. Recent projects include sensitivity analyses for cylindrical dielectric absorbers and split-ring resonator configurations. Key Contributions: Her research has advanced frequency-selective surface technologies and sensing applications using dielectric materials. Notable achievements include the 2023 Third Prize in the Lepold B. Felsen Student Presentation Competition for her work on elliptical resonator-based absorbers. Awards: Third Prize, Lepold B. Felsen Student Presentation Competition at URSI-TÜRKİYE 2023 Advising & Grants: While no formal advisees are listed, her doctoral research includes collaborative projects with academic teams. Her work is supported by institutional research grants focused on electromagnetic materials and sensing technologies. Labs/Teams: Active in the Electromagnetic Fields and Microwave Techniques laboratory at Suleyman Demirel University, collaborating on antenna design for 5G applications and dielectric resonator characterization.

• Interconnects
• Integrated Circuits
• 3D Integrated Circuits
• +۳ مورد دیگر

Vasileios Pavlidis is a Senior Lecturer specializing in Advanced Processor Technology, focusing on cutting-edge research in integrated circuits, 3D integration, and hardware security. His work aligns with UN Sustainable Development Goals related to Digital Futures. Research interests include interconnects, clock distribution networks, and process variation mitigation in semiconductor systems. He explores emerging technologies like monolithic 3D integration and energy-efficient serial interfaces. His publications (2021–2022) address hardware security (e.g., EM side-channel attacks), 3D IC design, and compact filter systems. He has supervised 10 research projects but no grants or awards are explicitly mentioned. His work is part of the Advanced Processor Technology group.

• High-Energy Physics Detectors
• Digital System Design (FPGAs)
• Sensor Systems and Networks
• +۳ مورد دیگر

Roles & Affiliations: Kyriakis-Bitzaros Efstathios is a Lecturer in the Department of Electrical and Electronic Engineering at the University of West Attica, part of the School of Engineering. He is affiliated with the Electronics and Computer Technologies Laboratory (ECTLab) and teaches courses like Digital System Design and Operating Systems. His office is located at ZB206, Building Z, Ancient Eleonas Campus. Holds a PhD in Electrical Engineering and a Physics degree from the University of Patras (1994 and 1987, respectively). Research Interests: Focuses on high-energy physics detector electronics, FPGA-based digital systems, sensor array interfaces, energy harvesting for microcontrollers, and optoelectronic interconnects. His work includes contributions to the ATLAS experiment at CERN, including the New Small Wheel detector and MicroMegas electronics. Publications Overview: Over 30 publications spanning topics like high-luminosity LHC upgrades, reconfigurable embedded systems, and optoelectronic simulations. Recent work includes advancements in detector electronics for CERN experiments and energy-efficient sensor networks. Labs & Teams: Leads the ECTLab, focusing on electronics and computer technologies. Collaborates on projects like the ATLAS detector upgrades and smart sensor systems.