جستجوی استاد راهنمای دانشگاهی

Doğa Ceylanمشاهده پروفایل

استادیار

• Electromechanical Systems Design
• Electric Mobility
• Power Electronics
• +۳ مورد دیگر

Doğa Ceylan is an Assistant Professor at the Electromechanics and Power Electronics department of Eindhoven University of Technology. His research focuses on sustainable electromechanical systems, particularly reluctance machines for heavy-duty electric vehicles and agricultural applications. He specializes in multi-physical design, rare-earth-free structures, and novel control strategies. Education: B.Sc. and M.Sc. in Electrical and Electronics Engineering from Middle East Technical University (2016–2018), followed by a Ph.D. at TU/e (2019–2024) culminating in a cum laude distinction. Postdoc work involved developing high-torque variable flux reluctance motors for electric tractors. Research Interests : Electromechanical systems design, electric mobility, finite element analysis, vector hysteresis modeling, and sustainable energy solutions. His work aligns with UN SDGs, emphasizing clean energy and innovation. Articles Trends : Recent publications emphasize variable flux reluctance machines, flux-weakening control, and cross-coupling effects in motor control. He explores heavy-duty applications, thermal characteristics, and optimization techniques for high-torque operations. Awards : PhD with distinction cum laude (2024). Grants & Projects : Participated in the Smaragd-Farmtronics project (2017–2021) focusing on solar energy and agricultural technologies. Current work includes EU-funded initiatives on sustainable drive systems. Labs & Teams : Leads research in the Electromechanics Lab and collaborates with the Electromechanics and Power Electronics group. Active in developing demonstrators for agricultural electric tractors and heavy-duty vehicle systems.

• Optical Communications
• Fiber-Optic Communication Systems
• Digital Signal Processing
• +۳ مورد دیگر

M.Sc. Alex Jäger is a doctoral researcher at the Institute for Communications Engineering at the Technical University of Munich (TUM), affiliated with the Chair of Communications Engineering (Prof. Kramer) . His research focuses on mitigating nonlinear distortions in fiber-optic communication systems, particularly addressing cross-phase modulation and phase noise through advanced coding schemes and signal processing techniques. Education: B.Eng. from University of Applied Sciences Konstanz (HTWG), 2020 M.Sc. from Technical University of Munich (TUM), 2022 Research Interests: Development of coding schemes, receiver design, and digital signal processing methods for optical fiber channels. His work addresses challenges like nonlinear effects, capacity bounds, and interference cancellation in high-speed fiber-optic systems. Teaching: Involved in teaching courses such as Machine Learning for Communications , Digital Signal Processing for Optical Communication Systems , and Scientific Seminars on Coding/Cryptography/Optical Communications . Thesis Supervision: Completed Theses: Turbo Equalization for Optical Fiber/Phase Noise Channels , Balanced Information Rates for Successive Interference Cancellation , and others. Ongoing Theses: Perturbation-Based Solutions of the Nonlinear Schrödinger Equation . Available Topics: Focus on optical communications and receiver design at BA/MA/FP levels. Labs/Teams: Active in the Institute for Communications Engineering , collaborating with Prof. Kramer and the Optical Networks Group (ONG) at UCL during his M.Sc. thesis.

Kimia Chavoshi Boroujeniمشاهده پروفایل

استادیار

• Nonlinear systems
• Cooperative control center networks
• Model Predictive Control (MPC)
• +۴ مورد دیگر

Dr. Kimia Chavoshi Boroujeni is an Assistant at the Chair of Control and Computation under the Institute for Automatic Control at ETH Zurich. Her research focuses on advanced traffic management systems for autonomous and connected vehicles. PhD in Civil Engineering (Road Traffic Engineering), ETH Zurich (2019–2024) MSc in Electrical Engineering (Control Systems), Sharif University of Technology (2016–2018) BSc in Electrical Engineering (Control Systems), Sharif University of Technology (2011–2015) Her work addresses complex control challenges in nonlinear systems , model predictive control (MPC) , and autonomous vehicle coordination , particularly in lane-free and direction-free highway systems. She has developed innovative strategies like feedback linearization and Karma games to enhance fairness and efficiency in traffic networks. Notable projects include ASTRA BGT for automated driving in road tunnels and RECCE for real-time traffic estimation. Her publications span journals like IEEE Transactions on Intelligent Transportation Systems and Electronics, alongside conferences like TRB and STRC.

Penny Hudsonمشاهده پروفایل

مدرس ارشد

• Biomechanics
• Sport Biomechanics
• Human Sprinting Performance
• +۳ مورد دیگر

Dr Penny Hudson is a Senior Lecturer in Sport and Exercise Biomechanics at the University of Chichester, specializing in human sprinting performance and high-speed locomotion biomechanics. Her research bridges insights from cheetah biomechanics to human athletic performance, with active involvement as a trampoline gymnastics coach providing practical biomechanical support to athletes. Her educational background includes: BBSRC Funded PhD (2007-2011) from the University of London: 'The Structural and Functional Specialisations of Locomotion in the Cheetah (Acinonyx jubatus)' BSc (Hons) Bioveterinary Sciences (2004-2007) from the Royal Veterinary College Dr Hudson's research focuses on understanding the biomechanical limits of running speed through comparative analysis of cheetahs and humans. She investigates tissue mechanics, assistive device design, and movement optimization in sports contexts, particularly examining how insights from animal locomotion can enhance human sprinting performance. Her work integrates experimental biomechanics with practical athletic applications. Analysis of her 15 most recent publications (2011-2024) reveals three dominant research thrusts: (1) Sports biomechanics with emphasis on soccer kicking mechanics and energy transfer strategies; (2) Clinical biomechanics examining weight loss surgery outcomes and joint loading; and (3) Continued exploration of cheetah locomotion using advanced motion capture techniques. This trajectory shows evolution from pure animal biomechanics toward human performance applications while maintaining her foundational interest in high-speed movement. As Academic Advisor and module coordinator for Anatomy and Kinesiology (SPL103) and Tissue Mechanics and Assistive Devices (MSCBM02), she mentors students through independent projects. Her research has been supported by BBSRC funding during her PhD and DARPA funding during postdoctoral work at the Royal Veterinary College where she collaborated with Boston Dynamics on robotic design inspired by cheetah locomotion. Dr Hudson maintains active professional engagement through Society for Experimental Biology and Society for Integrative and Comparative Biology memberships, serves as Research Fellow for the Zoological Society of London, and provides journal reviewing services for Mammalian Biology. Her public outreach includes BBC News features, Science Museum exhibitions, and Channel 4's BAFTA-winning 'Inside Nature's Giants' series.

Irene Martínez Josemaríaمشاهده پروفایل

استادیار

• Transport Equity
• Emerging Mobility Technologies
• Traffic Flow Theory
• +۳ مورد دیگر

Irene Martínez Josemaría is an Assistant Professor and co-director of the hEAT lab at Delft University of Technology's Department of Transport & Planning , within the Civil Engineering & Geosciences school. She specializes in transport equity and emerging mobility technologies, focusing on traffic flow theory and control in autonomous, connected, and shared mobility systems. Education: Holds double MSc degrees from the University of California, Irvine and Universitat Politècnica de Catalunya , and a Ph.D. in Civil and Environmental Engineering from UC Irvine. Research emphasizes leveraging new technologies to reduce congestion and improve transportation equity. Key areas include variable speed limits, high-occupancy-toll lanes, and shared mobility fleet sizing. Recent work explores automated driving scenarios in the Netherlands and dynamic pricing strategies for traffic management. Awards : Recipient of the IEEE ITSS Best Dissertation Award (third prize) for her work on modeling emerging mobility systems. Teaching : In 2024, taught courses like Intelligent Vehicles for Traffic Systems and Innovations & Transitions in Transport . Lab : Leads the hEAT lab , dedicated to equitable and adaptive transport solutions.

• High Energy Astrophysics
• Dark Matter Detection
• Gamma-ray Astronomy
• +۴ مورد دیگر

Dr. Anthony Brown is an Assistant Professor in the Department of Physics at Durham University, affiliated with the Institute of Hazard, Risk and Resilience. His research focuses on high-energy astrophysics and dark matter detection through gamma-ray observations. Key research areas: Dark Matter Detection, Gamma-ray Astronomy, Cherenkov Telescopes, Cosmic Ray Interactions Instrumentation expertise: Atmospheric Cherenkov Detectors, Balloon-borne Platforms, UAV Calibration Systems Supervision: Mentored three postgraduate research students (Amrit Nayak, Ed Dewit, Ieva Jankute) Recent publications highlight his work on Cherenkov Telescope Array calibration techniques (2022), millisecond pulsar gamma-ray modeling (2024), and dark matter signatures in globular clusters (2018). His research spans ultra-high energy neutrino detection (2021), extragalactic cosmic ray propagation (2017), and multi-messenger astronomy approaches combining gamma-ray and neutrino observations (2015). Scientific contributions include: Development of airborne calibration systems for ground-based observatories Analysis of gamma-ray emission from active galactic nuclei (2017-2024) Investigations into dark matter annihilation signatures in galaxy clusters Innovations in stratospheric imaging telescope performance (2020) Current projects involve the Cherenkov Telescope Array's line search capabilities for dark matter (2024) and studying pulsar geometry effects on emission spectra (2024). His work bridges experimental astrophysics with particle physics, particularly in high-energy cosmic phenomena and neutrino detection.

• Musculoskeletal Pain
• Low Back and Neck Pain Management
• Physical Activity and Sedentary Behaviour Epidemiology
• +۵ مورد دیگر

Anna Marcuzzi is a Postdoctoral Fellow at the Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU). Her research focuses on musculoskeletal pain epidemiology and digital health interventions, with significant contributions to AI-based pain management tools and population health studies using Norwegian registry data. Her research portfolio centers on: Musculoskeletal pain mechanisms and comorbidities Digital therapeutics for low back/neck pain Physical activity and sedentary behaviour determinants Chronic pain interactions with mental health and metabolic conditions Cross-cultural pain measurement validation Epidemiological methods using large cohort studies Analysis of her 15 most recent publications (2021-2025) reveals a dominant focus on developing and evaluating AI-driven self-management applications for musculoskeletal pain, particularly through randomized clinical trials. She has made substantial contributions to systematic reviews on physical activity determinants in children (DE-PASS project) and investigates complex pain comorbidities using longitudinal data from the Norwegian HUNT study, examining relationships between multisite pain, insomnia, diabetes risk, and mental health outcomes. No scientific awards were documented in the available information. Details regarding student advising, research grants, or laboratory affiliations were not specified in the provided materials.

Ebrahim Amiriمشاهده پروفایل

استاد

• Electric Machines Design
• Power Electronics
• Renewable Energy Systems
• +۳ مورد دیگر

Dr. Ebrahim Amiri is a Professor in the Electrical Engineering Department at California State University, Long Beach (CSULB), and previously served as Chair of the Electrical and Computer Engineering Department at the University of New Orleans (2022–2023). He holds a B.Sc. (2005) and M.Sc. (2008) from Amirkabir University of Technology, Iran, and a Ph.D. (2013) from Louisiana State University, USA, all in Electrical Engineering. His research focuses on electric machine design, analytical modeling of electromagnetic devices, and power electronics applications in renewable energy and motor drives. Key areas include permanent magnet machines (e.g., IPM, SPM), fault current limiters, and grid-integrated inverters. He has authored/co-authored over 50 peer-reviewed articles, with recent work emphasizing machine optimization, deep learning for design frameworks, and fault detection methods. Notable contributions include analytical models for interior permanent magnet machines, dual-pole line-start synchronous motors, and air-core fault current limiters. His research bridges theoretical modeling and practical applications, addressing challenges in energy efficiency and rare-earth magnet reduction. Dr. Amiri’s publications span journals like IEEE Transactions on Magnetics , IEEE Journal of Emerging and Selected Topics in Industrial Electronics , and IET Electric Power Applications . His work frequently explores magnetic pole configurations, machine performance under faults, and novel topologies for improved torque and energy density.

• Color Vision
• Visual Psychophysics
• Vision Assessment
• +۳ مورد دیگر

Jing Yi is an active biostatistician and vision science researcher, holding a Ph.D. in Statistics from the University of California, Berkeley (2006), where her dissertation on fluorescent DNA quantification was supervised by Terence Speed. Her current work bridges statistical methodology with ophthalmological applications. Her educational background includes: Ph.D. in Statistics, University of California, Berkeley, 2006 Research focuses on color vision mechanisms, adaptive testing paradigms, and machine learning-driven diagnostic tools. She pioneers tablet-based vision assessment methods like AIM (Angular Indication Measurement) and FInD (Foraging Interactive D-prime), emphasizing self-administered, accessible clinical evaluations. Her work addresses fundamental perceptual phenomena (e.g., neon color spreading, chromatic-luminance interactions) while developing practical solutions for color vision deficiency screening and visual acuity measurement. Analysis of her 15 most recent publications (2022–2025) reveals strong interdisciplinary integration of psychophysics, optics, and AI. Key trends include adaptive algorithms for rapid color vision classification, quantification of refractive errors via novel acuity methods, and validation of digital diagnostic tools against traditional clinical standards. Her research consistently targets real-world applicability in optometry and ophthalmology. No scientific awards are documented in the provided materials. While student advising, grant funding, and laboratory affiliations remain unspecified in available sources, her prolific publication record indicates active collaboration with vision science and medical technology teams. Future work appears directed toward refining machine learning classifiers for color vision phenotyping and expanding tablet-based diagnostic accessibility.

Mohamed Ahmedمشاهده پروفایل

استاد

• Traffic Safety Analysis
• Intelligent Transportation Systems (ITS)
• Connected and Automated Vehicles
• +۶ مورد دیگر

Dr. Mohamed Ahmed is a Professor and Director of the Department of Civil and Architectural Engineering and Construction Management at the University of Cincinnati. He leads the Transportation Center and holds the title of PE (Professional Engineer). His primary research focuses on traffic safety, Intelligent Transportation Systems (ITS), and emerging technologies like connected/automated vehicles. He has managed over $10M in research funding through federal and state grants, including major projects with USDOT and NIH. Education: Doctorate in Civil Engineering (not explicitly stated, inferred from title and roles) Research interests include real-time risk assessment, naturalistic driving studies, and AI-driven safety solutions. His work utilizes large datasets like SHRP2 to analyze driver behavior in adverse conditions. Recent projects include AI-based weather detection systems and safety tools for non-conventional roadway designs. Publications span 250+ articles with high citation impact (h-index 35). Awards include TRB Best Paper Awards and international recognitions for contributions to traffic safety. He advises 5 current PhD/MS students and collaborates with industry partners like the Federal Highway Administration. Labs/Teams: Director of Transportation Center, leading collaborative projects with universities and government agencies

Chen Liuمشاهده پروفایل

استادیار

• Numerical Analysis
• Computational Mathematics
• Fluid Dynamics
• +۲ مورد دیگر

Chen Liu is an Assistant Professor of Mathematics in the Department of Mathematical Sciences at the University of Arkansas's Fulbright College of Arts and Sciences. He holds a PhD in Computational and Applied Mathematics from Rice University. Research Interests: Dr. Liu's research focuses on developing advanced numerical methods for partial differential equations, particularly discontinuous Galerkin schemes for fluid dynamics applications. His work emphasizes structure-preserving algorithms for hyperbolic conservation laws, Navier-Stokes equations, and multiphase flow problems. Key research areas include bound-preserving limiters, high-order accuracy schemes, and efficient solvers for complex physical systems. Publication Trends: His recent publications demonstrate a consistent focus on improving numerical stability and accuracy for challenging fluid dynamics problems. Common themes include positivity-preserving schemes, multiphysics coupling (particularly Cahn-Hilliard-Navier-Stokes systems), and applications to porous media flow. Recent work shows increased emphasis on optimization-based approaches and implicit-explicit time integration techniques. Awards: No scientific awards mentioned. Academic Activities: No information available regarding students advised, research grants, or laboratory facilities.

Heng Weiمشاهده پروفایل

استاد

• Transportation Engineering
• Traffic Safety
• Environmental Engineering
• +۵ مورد دیگر

Heng Wei is a Professor in the Department of Civil & Architectural Engineering & Construction Management at the University of Cincinnati. His research focuses on transportation safety, traffic control systems, emission modeling, and connected/automated vehicles. He has led numerous high-impact projects as Principal Investigator (PI), including studies on reducing dump truck accidents, optimizing traffic signal systems, and modeling electric vehicle charging demand. His work spans interdisciplinary collaborations with agencies like the Federal Highway Administration and the Environmental Protection Agency. Key contributions include innovative approaches to urban mobility, traffic data analytics, and infrastructure resilience. Dr. Wei’s research integrates advanced technologies such as cyber-physical systems and machine learning to address modern transportation challenges. Over 150 peer-reviewed publications in journals like Transportation Research Part C and Journal of Transport Geography. Active grants totaling over $5M, including projects on smart mobility, emission reduction, and safety engineering. Notable achievements include developing frameworks for scenario-based travel demand analysis and pioneering adaptive signal control strategies using connected vehicle data.

Ole Sönnerbornمشاهده پروفایل

مدرس

• Quantum Mechanics
• Mathematical Physics
• Topology and Geometry in Physics
• +۳ مورد دیگر

Ole Sönnerborn is a Lecturer in Mathematics at Karlstad University, focusing on the intersection of topology, geometry, and quantum mechanics. His research explores quantum systems with topological/geometric origins, including holonomy, geometric phases, quantum speed limits, and quantum information theory. He teaches advanced mathematics courses for engineering and mathematics education programs. Key research areas include: Quantum holonomy and its applications in computation Time constraints for quantum processes (quantum speed limits) Self-testing quantum systems and Bell inequality violations Geometric uncertainty principles Symmetric informationally complete measurements (SICs) Recent work (2023-2025) emphasizes iso-holonomic inequalities, tight quantum speed limits, and non-adiabatic holonomic computation. Over 20 peer-reviewed articles span topics from quantum control to topological systems. Teaching responsibilities include: Mathematics for Engineers I/II Mathematical relationships in single-variable calculus Discrete Mathematics and Algebraic Structures Linear Algebra II Supervises bachelor/master thesis projects in mathematical physics and quantum theory. No awards explicitly listed in provided materials.

Eric Bruningمشاهده پروفایل

دانشیار

• Atmospheric Electricity
• Lightning
• Cloud Physics
• +۴ مورد دیگر

Dr. Eric Bruning serves as an Associate Professor in the Department of Geosciences at Texas Tech University, where he has been a faculty member since 2010. His research program integrates atmospheric electricity, cloud physics, and advanced computational methods to investigate fundamental storm processes and lightning phenomena. His academic foundation includes a complete sequence of degrees in Meteorology from the University of Oklahoma (B.S., M.S., Ph.D., 2008), followed by postdoctoral research at the University of Maryland's Earth System Science Interdisciplinary Center. This training established his expertise in severe storms and satellite meteorology through collaboration with NOAA's National Severe Storms Laboratory. Dr. Bruning's research spans multiple interconnected domains: Atmospheric electricity and lightning physics, including storm electrification mechanisms Cloud microphysics and dynamics in diverse convective systems Scientific computing applications using Python for atmospheric analysis History and philosophy of science perspectives on meteorological research Interdisciplinary connections between scientific visualization and artistic design His publication record (2022-2025) reveals intensive focus on lightning observation systems, aerosol-cloud-precipitation interactions, and field campaign operations. Key themes include the development of novel lightning mapping techniques, analysis of lake-effect electrification events, and investigation of microphysical drivers of storm electrification through projects like ESCAPE, TRACER, and LEE. Professional engagement highlights include: Active membership on NOAA's GOES-R Geostationary Lightning Mapper (GLM) Science Team Principal Investigator for NSF-funded research on lightning flash size distributions and turbulence Former Chair of the American Meteorological Society Committee on Atmospheric Electricity Dr. Bruning contributes significantly to major collaborative field campaigns and instrumentation development, particularly through his leadership in the Lake-Effect Electrification (LEE) project and the Tracking Aerosols and Convection Experiment (TRACER). His work bridges theoretical modeling, observational analysis, and practical applications for improving severe weather understanding and forecasting capabilities.

• Electric Motors
• Thermal Management
• Electromagnetic Design
• +۳ مورد دیگر

Luca Boscaglia is a researcher at Chalmers University of Technology, Sweden, specializing in Electrically Excited Synchronous Machines (EESMs) for sustainable transportation. He is affiliated with the Department of Electric Power Engineering, focusing on electromagnetic, mechanical, and thermal design challenges of high-power density motors. PhD in Electrical Engineering (2024, Chalmers) Expertise in rare-earth-free electric motor alternatives Key contributor to EU-funded projects like LONG and DORNA His research addresses critical issues in the transportation sector's decarbonization, including: Advanced rotor and stator oil cooling systems High-speed mechanical integrity under centrifugal forces Dynamic current control with mutual coupling considerations Driving cycle thermal modeling for reliability Publication trends highlight innovations in: Direct oil cooling for 200 kW truck motors Brushless excitation systems Hairpin winding loss reduction Comparative analysis with permanent magnet motors Collaborations span automotive giants (Volvo, ABB), EU institutions, and global universities (Zhejiang, Polytechnic University of Turin). Current projects include FlexCharge, E-drill, and HipeDrive, funded by Swedish Energy Agency and European Commission.