جست‌وجوی استاد و پژوهشگر

• Active Vibration Control
• Nonlinear Dynamics
• Energy Harvesting
• +۳ مورد دیگر

Maryam GhandchiTehrani is a Professor in the Dynamics and Vibration department at the University of Groningen’s Faculty of Science and Engineering. She holds a PhD in Engineering from the University of Liverpool (2007) and has held prior academic positions including Associate Professor (2017–2021) and Lecturer (2010–2017) at the University of Southampton. Her research focuses on active vibration control, nonlinear dynamics, and energy harvesting, particularly in integrating nonlinearities into control systems and energy harvesters. She also develops advanced optical measurement techniques using high-speed cameras for structural health monitoring. Key publications include advancements in vibration energy harvesting, nonlinear feedback control, and parametric resonance systems. Her work has been recognized with a 2021 fellowship from the University of Padova. She advises on doctoral examinations and collaborates internationally in vibration engineering. Current affiliations include the Engineering and Technology Institute Groningen. Research interests span both theoretical and experimental domains, emphasizing practical applications in aerospace, mechanical systems, and sustainable energy. Her lab’s work aims to enhance vibration suppression and energy extraction efficiency through innovative control strategies and material designs.

• Innate Immunity
• Phagocytosis
• Teleost Immunology
• +۳ مورد دیگر

James Stafford is a Professor in the Department of Biological Sciences at the University of Alberta’s Faculty of Science. He holds a BSc in Medical Laboratory Sciences and a PhD in Physiology and Cell Biology from the University of Alberta, followed by a postdoctoral fellowship at the University of Mississippi Medical Center. His research focuses on innate immunity, particularly the molecular mechanisms of phagocytosis in teleost fish, such as the channel catfish (Ictalurus punctatus). He investigates how phagocytic receptors like leukocyte immune-type receptors (LITRs) regulate immune responses, emphasizing their evolutionary adaptations in ectothermic vertebrates. His work integrates biochemical, genetic, and imaging techniques to understand receptor signaling pathways and their roles in pathogen recognition, immune cell function, and disease resistance. Stafford teaches courses on immunology, innate immunity, animal physiology, and parasitology. He leads the Stafford Lab, which explores teleost immune systems, advanced water treatment technologies for oil sands process-affected water, and the immunotoxicology of environmental contaminants. His publications span over two decades, addressing topics from receptor-mediated phagocytosis to the environmental impact of industrial wastewater. His research also extends to applications of nanotechnology in environmental remediation, including photocatalytic and electrocatalytic methods for treating contaminated water. Collaborative projects involve evaluating the immunotoxic effects of oil sands process-affected water using mammalian and fish cell lines.

Alexandra M. Carvalhoمشاهده پروفایل

استادیار

• Machine Learning
• Bioinformatics
• Bayesian Networks
• +۳ مورد دیگر

Alexandra M. Carvalho is an Assistant Professor at the Department of Electrical and Computer Engineering, Instituto Superior Técnico (IST), Universidade de Lisboa. She is also a researcher at the Pattern and Image Analysis Group (PIA) within the Instituto de Telecomunicações (IT). Her academic journey includes a five-year degree in Applied Mathematics from IST (1998), a Master's in Computer Science (2004), and a PhD in Computer Science (2011), both from IST. Her research focuses on machine learning, bioinformatics, Bayesian networks, and medical informatics, with applications in healthcare, genomics, and longitudinal data analysis. Education: Bachelor’s in Applied Mathematics, IST, 1998 Master’s in Computer Science, IST, 2004 PhD in Computer Science, IST, 2011 Research interests emphasize structured motif discovery, probabilistic graphical models, survival analysis, and time-series data mining. Key contributions include algorithms for motif extraction in DNA sequences, dynamic Bayesian networks for disease progression modeling, and tools like GRISOTTO and RISO for bioinformatics. She has been awarded the Sartorius Innovation Award and recognition from BioMed Central for impactful publications. Her work spans interdisciplinary collaborations, including projects on cancer systems biology, pharmacokinetic modeling, and clinical decision support. She advises numerous MSc students and has secured grants from FCT and EU initiatives. Notable software contributions include AliClu for clinical data clustering and METEOR for outlier detection in time series. Labs/Teams: Active in the PIA Group and KDBio Group (INESC-ID), focusing on computational methods for biomedical data analysis.

• Manufacturing Engineering
• Aerospace Materials
• Tool Wear Monitoring
• +۵ مورد دیگر

Jose Luis Cantero Guisandez is a Full Professor at the Department of Mechanical Engineering, University Carlos III of Madrid. He is affiliated with the Álvaro Alonso Barba Institute of Chemistry and Materials Technology and leads the 'Mechanical and Biomechanical Component Manufacturing and Design Technology' research group. His work focuses on advanced machining processes, tool wear monitoring, composite materials (especially CFRP), and aerospace component fabrication. Key research interests include drilling process optimization for hybrid material stacks, tool failure detection using signal analysis (wavelet transforms), and machine learning applications in manufacturing systems. He has published extensively on topics like Inconel 718 machining, Haynes 282 finishing, and MQL drilling techniques. Current projects involve collaboration with Airbus on drilling process improvement (funded by Airbus Operations S.L.) and digitalization of industrial drilling systems (DIGITDRILL project with AEI). He has supervised multiple theses on tool health monitoring and multi-material drilling optimization. His work integrates experimental analysis with numerical modeling, addressing challenges like delamination in CFRP drilling and thermal effects in dry machining. Recent efforts emphasize data-driven approaches for process control and predictive maintenance in aerospace manufacturing.

• Environmental Acoustics
• Bioacoustics
• Outdoor Noise Prediction
• +۴ مورد دیگر

Guillaume Dutilleux is a Professor in the Department of Electronic Systems at the Norwegian University of Science and Technology (NTNU) in Trondheim. His research focuses on environmental acoustics, bioacoustics, and noise prediction methods. He holds a PhD in Building Acoustics from Lyon I University (1999) and has worked at Cerema Est in France before joining NTNU in 2016. Education: BSc in Computer Science (ENTPE, 1994) MSc in Acoustics and Vibrations (INSA Lyon, 1994) PhD in Building Acoustics (Lyon I University, 1999) BSc in Biology (Strasbourg University, 2007) Research Interests: Engineering-grade outdoor noise prediction Acoustic monitoring of endangered species Impacts of anthropogenic noise on ecosystems Time-domain acoustic system analysis Wind turbine and transportation noise effects 3D acoustic tracking and biodiversity assessment Recent Research Trends: His publications emphasize advancements in acoustic prediction models (e.g., sound emergence theory, tensor LMS algorithms), bioacoustic tracking of wildlife (e.g., spadefoot toads, bird flight displays), and regulatory noise compliance (e.g., CNOSSOS-EU alignment). Collaborations with engineers and ecologists highlight interdisciplinary approaches to noise pollution and biodiversity challenges. Teaching & Outreach: Teaches courses on bioacoustics, acoustic measurement techniques, and electronic systems design at NTNU Active in international acoustics conferences (e.g., ICBEN, Euronoise) Develops hands-on experimental training programs for students Labs & Teams: His work integrates acoustic software development, field monitoring systems, and interdisciplinary collaborations with environmental scientists and engineers.

• Power Electronics
• Transformer Monitoring
• Fault-Tolerant Systems
• +۳ مورد دیگر

JORGE PLEITE GUERRA is an Associate Professor at the Universidad Carlos III de Madrid (UC3M), affiliated with the Electronic Technology Department and the Electronic Power Systems Group (GSEP). His research focuses on power electronics, transformer monitoring, and fault-tolerant architectures. He holds a PhD in Electrical Engineering and has been active in advancing diagnostic methods for electrical systems. His work emphasizes practical applications of signal processing techniques like wavelet transforms for transformer diagnostics and frequency response analysis. He has contributed to aerospace electronics reliability through fault-tolerant design innovations. His research also involves nonlinear modeling of magnetic components using finite element methods. Publications span prestigious journals including IEEE Transactions on Aerospace and Electronic Systems, IEEE Transactions on Power Delivery, and Materials. His textbook Electrónica analógica para ingenieros (2009) remains a reference in analog electronics education. Dr. Pleite Guerra has collaborated on projects involving integrated magnetics design for grid-connected power converters and RVM test interpretation improvements. His expertise bridges theoretical analysis with applied engineering solutions in power systems.

Wei Zhanمشاهده پروفایل

استاد

• Control Systems
• Systems Engineering
• Nonlinear Control
• +۷ مورد دیگر

Wei Zhan is a Professor and Associate Department Head for Undergraduate Studies in the Department of Engineering Technology & Industrial Distribution at Texas A&M University's College of Engineering. He holds affiliations with the Multidisciplinary Engineering program, focusing on systems engineering, control systems, and renewable energy applications. His academic career includes leadership roles in curriculum development and student recruitment strategies. Dr. Zhan earned a D.Sc. in Systems Science from Washington University (1991), M.S. degrees in Systems Engineering (Washington University, 1988) and Control Engineering (Beijing University of Aeronautics and Astronautics, 1985), and a B.S. in Electrical Engineering (Beijing University of Aeronautics and Astronautics, 1983). His research spans nonlinear control systems , industrial process optimization , and educational innovation . Key areas include fault-tolerant motor control, renewable energy transition frameworks, and maker culture integration into engineering education. Recent publications emphasize energy systems decarbonization, robotics, and pedagogical advancements like capstone project integration. His work bridges academic research with real-world applications such as smart grid reliability, autonomous inspection drones, and lean six sigma methodologies. Dr. Zhan leads initiatives in program development, including the Product Innovation Cellar for student product development and multidisciplinary engineering education. His efforts in curriculum design and student recruitment reflect a commitment to addressing evolving industry needs.

John Carltonمشاهده پروفایل

استاد

• Marine Engineering
• Ship Propulsion Hydrodynamics
• Cavitation Dynamics
• +۷ مورد دیگر

Professor John Carlton is a Professor of Marine Engineering at City, University of London, where he leads postgraduate maritime studies. He is also affiliated with the International Institute for Cavitation Research. Prior to his academic role, he held senior positions at Lloyd's Register, including Global Head of Marine Technology and Head of the Technical Investigation Department. BA (Hons) Mathematics, Open University, 1976 Professional qualifications in Mechanical Engineering (IMechE, 1969) and Marine Engineering (CMarEng, 1990) Honorary Doctor of Science (DSc), City, University of London, 2006 His research focuses on ship propulsion hydrodynamics, cavitation dynamics, and future ship powering systems. He has made significant contributions to understanding marine propeller behavior, propeller-rudder interaction, and machinery condition monitoring. His work integrates theoretical, computational, and full-scale experimental methods. The recent publications highlight a strong trend toward advanced sensing technologies (e.g., fibre optic sensors) for monitoring cavitation, structural integrity, and machinery health. His research spans hydrodynamics, acoustics, materials science, and sustainable propulsion, reflecting a multidisciplinary approach to marine engineering challenges. Denny Gold Medal (IMarEST), twice awarded Stanley Gray Award for Marine Technology, twice awarded Honorary Doctor of Science, City, University of London (2006) Fellow of the Royal Academy of Engineering (2011) 109th President of IMarEST (2011–2012) Professor Carlton has supervised numerous industry research projects and contributed to international standards. He is actively involved in advising on alternative propulsion systems and has led research initiatives in nuclear propulsion feasibility and risk assessment for merchant ships. He chairs the Royal Academy of Engineering’s Working Group on Alternative Ship Propulsion. He is a key member of the International Institute for Cavitation Research and collaborates with industry partners on structural health monitoring, cavitation erosion, and propulsion efficiency. His work bridges academic research and practical marine engineering applications.

• Integrated Circuit Design
• Low Power Design
• Mixed-Signal Testability
• +۱۲ مورد دیگر

Ali Muhtaroğlu is a faculty member in the Department of Electrical and Electronics Engineering at Middle East Technical University Northern Cyprus Campus (METU NCC), within the College of Engineering. His research spans integrated circuit design, energy systems, and computer architecture, with a strong emphasis on low-power, high-performance, and sustainable technologies. His research interests include: Integrated Circuit Design: Power delivery, mixed-signal testability, high-volume manufacturing (HVM), and low-power IC design. Energy Systems: Renewable energy integration, energy scavenging, thermoelectric and photovoltaic systems, and sustainable power management for mobile computing. Computer Architecture: Low-power architectures, parameterized designs using VHDL, FPGA-based implementations, and specialized computing systems such as Cellular Automaton Processors. His recent publications (2004–2009) reflect a consistent focus on solving practical engineering challenges in power integrity, testability, and energy efficiency. These works demonstrate innovation in on-die droop detection, AC I/O loopback testing, hybrid thermoelectric conversion, and solar integration in portable devices, indicating a trajectory toward sustainable and high-performance computing systems. He is actively involved in the Renewable Energy Design and Applications Research (REDAR) group, where interdisciplinary efforts have led to the development of a self-powered solar radiation measurement system. This supports empirical studies on sustainable power management. While no formal advising or grant information is available, his research output suggests leadership in applied electronics and energy systems. His work bridges semiconductor design, power electronics, and system-level optimization, contributing to advancements in mobile and embedded computing technologies.

• Spatio-temporal statistics
• Computational statistics
• Geophysics
• +۴ مورد دیگر

Jo Eidsvik is a Professor at the Department of Mathematical Sciences, NTNU. His research focuses on spatio-temporal statistics, computational statistics, and their applications in Earth sciences, geophysics, and data assimilation. He leads projects like the Center for Geophysical Forecasting (SFI-CGF), GEOPARD, and MASCOT. He has authored a seminal book on 'Value of Information in the Earth Sciences' (2017), recognized with a runner-up award by INFORMS. Eidsvik has supervised numerous PhD and MSc students, including current advisees André Olaisen and Oscar Ovanger. He holds editorial roles in 'Mathematical Geosciences' and 'Statistics and Computing'. Education: MSc in Applied Mathematics (University of Oslo, 1997), PhD (NTNU, 2003). Industry experience includes roles at the Norwegian Defense Research Establishment and Statoil. He has been a visiting scholar at Stanford University and Duke University. Research highlights include Bayesian inversion methods, adaptive sampling with autonomous vehicles, and value of information analysis in decision-making. Recent work explores machine learning for irregular time series (ML4ITS) and oceanographic data assimilation. Over 60 MSc theses supervised, emphasizing interdisciplinary approaches. Labs/Teams: Center for Geophysical Forecasting (SFI-CGF), GEOPARD, MASCOT, Games. Grants/Awards: INFORMS Decision Analysis Society award (2017), extensive project funding through SFI and industry. Key Projects: Havvarsel (ocean data), CO₂ storage monitoring, and robotic sampling systems.

• Aeroacoustics
• Noise Control Engineering
• Signal Processing
• +۳ مورد دیگر

Elias Zea Marcano is an Assistant Professor of Engineering Acoustics at the Marcus Wallenberg Laboratory for Sound and Vibration Research (MWL) at KTH Royal Institute of Technology. His research focuses on noise source separation, aeroacoustics, room acoustics, sparse signal processing, and data-driven methods. He reviews for prominent journals like the Journal of the Acoustical Society of America and serves as a Guest Editor for the Journal of Theoretical and Computational Acoustics. His work is supported by the Swedish Research Council and the European Commission. He teaches courses such as Room Acoustics and Spatial Audio and has supervised numerous graduate students and postdocs in areas like sustainable aviation noise reduction and acoustic material characterization. He actively participates in international conferences and publishes cutting-edge research on topics such as fan noise measurement and data-driven speech enhancement.

• Embedded Systems
• FPGA Design
• Fault Tolerance
• +۵ مورد دیگر

Johnny Öberg is an Associate Professor at the Division of Electronics and Embedded Systems, KTH Royal Institute of Technology. He specializes in embedded systems, FPGA design, and fault-tolerant hardware architectures. His research focuses on radiation effects in electronics, machine learning acceleration, and network-on-chip (NoC) systems. He teaches and examines courses such as Computer Systems Architecture (IS2202), Embedded Hardware Design in ASIC and FPGA (IL2225), and Embedded Systems Design Project (IL2232). His work often bridges theory and practice, emphasizing real-world applications in aerospace, automotive, and IoT domains. Key research trends include improving reliability in SRAM-FPGAs through statistical fault injection, developing hardware-accelerated machine learning frameworks, and optimizing NoC architectures for predictable performance in mixed-criticality systems. Recent projects include the SAFEPOWER architecture for energy-efficient systems and collaborations on structural health monitoring using Lamb wave analysis. No scientific awards are explicitly mentioned in the provided texts. Johnny has advised on multiple degree projects but no specific student names are listed. His contributions include foundational work in GALS (Globally Asynchronous, Locally Synchronous) communication bridges and protocol grammars for low-power implementations. Labs/teams: Active involvement in the ICES (Innovative Centre for Embedded Systems) and the Suaineadh project for space-deployable structures. Collaborates on interdisciplinary initiatives like the ABB NoC and Panacea NoC prototypes.

Martin Ferguson-Pellمشاهده پروفایل

استاد

• Biomedical Engineering
• Rehabilitation Robotics
• Wheelchair Biomechanics
• +۳ مورد دیگر

Dr. Martin Ferguson-Pell is a Professor in the Faculty of Rehabilitation Medicine at the University of Alberta, specializing in biomedical engineering and clinical science. He holds a PhD in Biomedical Engineering (University of Strathclyde, 1977) and a BSc in Physics (University of Exeter, 1973). His academic leadership roles include serving as Dean of the Faculty of Rehabilitation Medicine (2007–2014), Acting Provost and Vice President Academic (2012–2014), and Senior Advisor to the President (2015–present). He leads the Rehabilitation Robotics Lab, focusing on wheelchair biomechanics, virtual reality simulations, and non-invasive tissue injury detection using spectroscopy and ultrasound technologies. Current projects include AIHS-funded smart neuro-prosthetics research and a living lab network for senior care innovation with Telus Health Solutions. Key collaborations involve researchers like Dr. Vivian Mushahwar and Dr. Lili Liu. His work bridges engineering, clinical medicine, and health policy to improve outcomes for people with disabilities. Education: PhD in Biomedical Engineering (University of Strathclyde), BSc in Physics (University of Exeter). Research Interests - Wheelchair propulsion biomechanics and shoulder injury prevention. - Deep tissue injury detection via Raman spectroscopy and elastography. - Virtual reality environments for clinical rehabilitation. - Remote patient monitoring and telehealth in chronic disease management. - Interdisciplinary innovation in assistive technologies. Grants & Partnerships - AIHS Smart Neuro-prosthetics Team Grant (deep tissue injury detection). - Mitacs program for graduate student/postdoc support. - Telus Health Solutions collaboration on senior care living labs. - Federal funding for rehabilitation robotics infrastructure. Labs & Teams - Rehabilitation Robotics Lab (Edmonton Clinical Health Academy). - Alberta Living Lab Network for community care innovation. - Interdisciplinary teams in musculoskeletal rehabilitation and neuroprosthetics.

Erik Snappمشاهده پروفایل

استاد مدعو

• Cellular Neuroscience
• Molecular Neuroscience
• Protein Synthesis
• +۳ مورد دیگر

Erik Snapp is an Adjunct Professor of Neuroscience and Director of Student and Postdoctoral Programs at the Howard Hughes Medical Institute's Janelia Research Campus. His research focuses on the cell biology of secretory protein synthesis, leveraging live cell imaging, fluorescence microscopy, and biochemical techniques to study endoplasmic reticulum (ER) dynamics and protein folding mechanisms. He directs programs fostering collaborative neuroscience research with an emphasis on computational approaches and tool development, particularly in fluorescent protein technologies. Snapp's work addresses protein misfolding diseases (e.g., cystic fibrosis) and viral exploitation of ER processes (e.g., HIV). He has pioneered methods like FRAP and FLIP for protein mobility studies and developed advanced fluorescent probes for oxidizing cellular environments. His recent efforts include optimizing fluorescent proteins for organelle-specific use and writing a free eBook on securing faculty positions. He leads the Janelia Joint Graduate Program in Neuroscience, collaborating with Johns Hopkins University. His research integrates quantitative microscopy, molecular biology, and biochemistry to dissect ER function under stress conditions and during disease states.

Eleni Chatziمشاهده پروفایل

دانشیار

• Structural Health Monitoring (SHM)
• Structural Dynamics
• Nonlinear System Identification
• +۴ مورد دیگر

Eleni Chatzi is an Associate Professor and Chair of Structural Mechanics and Monitoring at ETH Zürich's Department of Civil, Environmental and Geomatic Engineering. She leads the ERC-funded WINDMIL project on smart life-cycle assessment of wind turbines. Her research focuses on Structural Health Monitoring (SHM), nonlinear system identification, and data-driven methods for predictive maintenance. Chatzi holds a PhD from Columbia University and has authored over 280 peer-reviewed publications. Research interests include computational mechanics for plasticity/fracture, machine learning applications in SHM, and decision-support systems for infrastructure. She serves as editor for journals such as Journal of Sound and Vibration and Mechanical Systems and Signal Processing . Notable awards include the 2020 ASCE Walter L. Huber Research Prize and EASD Junior Research Prize. Her work bridges theory and practice through projects like VOI4SH (Value of Information for Structural Health Monitoring), advancing methodologies to quantify monitoring benefits. Current research emphasizes integrating sensor data with advanced analytics for intelligent infrastructure management.