جست‌وجوی استاد و پژوهشگر

• Machine Learning
• Computer Science
• Medical Informatics
• +۷ مورد دیگر

Yan Li is a researcher with extensive contributions across interdisciplinary domains including Machine Learning , Signal Processing , and Environmental Science . Affiliated with institutions such as the University of Southern Queensland , Hebei University , and Shandong University , Li's work spans applications in Medical Informatics , Remote Sensing , and Operations Research . Recent publications highlight expertise in Deep Learning (e.g., hyperspectral classification, image fusion), Stochastic Modeling (e.g., chemotaxis models), and Federated Learning (e.g., vertical federated fuzzy clustering). Collaborative projects include 3D Reconstruction , Smart Grid Security , and Landslide Monitoring using satellite data. Li's 2025 work demonstrates a focus on Medical Imaging (segmentation algorithms with dual-frequency decoupling), AI in Education (ChatGPT adoption), and Industrial IoT (GPU-accelerated vessel trajectory visualization). While no explicit academic rank is provided, their prolific publication record suggests a Researcher role.

• Structural Heart Disease
• Transcatheter Valve Therapy
• Interventional Cardiology
• +۲ مورد دیگر

Dr. Jubin P Joseph is a Clinical Assistant Professor of Medicine at the Keck School of Medicine of the University of Southern California and serves as Director of Structural Interventions in the Cardiac & Vascular Institute. An interventional cardiologist specializing in structural heart disease, he leads advanced transcatheter valve therapies and clinical research initiatives at USC. His educational journey includes: Undergraduate studies at Cambridge University (2005) Medical degree from Oxford University (2008) Internal medicine and cardiology training in England PhD in invasive physiology research from St Thomas' Hospital, London Advanced structural intervention fellowship at Oxford University Hospitals Specialized training at Cedars-Sinai Medical Center (2020-2022) Dr. Joseph's research centers on structural heart disease mechanisms and transcatheter interventions, with particular focus on valve pathophysiology, hemodynamic assessments, and device innovation. His clinical expertise spans transcatheter aortic/mitral/tricuspid valve replacements, MitraClip procedures, left atrial appendage occlusion, and congenital defect closures. He integrates cardiovascular physiology with structural interventions to optimize patient outcomes in complex valve disease. His publication record reveals consistent advancement in transcatheter valve therapy, emphasizing hemodynamic outcomes, imaging guidance, and novel device applications. Recent work demonstrates leadership in TAVR optimization, mitral repair techniques, and physiological assessment during interventions, reflecting his dual commitment to clinical innovation and scientific rigor. Major recognitions include: Peel and Rothwell Jackson Postgraduate Fellowship (2020-2021) European Society of Cardiology's Cardiologist of Tomorrow (2014-2017) Royal College of Surgeons' Preiskel Prize (2008) Multiple medical education travel awards (2008) Cambridge University's Preparing for Patients Prize (2003) As a clinical investigator, Dr. Joseph actively contributes to national multicenter trials while directing structural interventions at USC's Cardiac & Vascular Institute. His team pioneers emerging transcatheter therapies through rigorous physiological assessment and device evaluation, with ongoing research in microvascular dysfunction and next-generation valve technologies. The structural interventions program under his leadership focuses on complex valve disease management, combining cutting-edge transcatheter approaches with comprehensive physiological evaluation to advance structural heart care.

• Cardiovascular Medicine
• Coronary Microvascular Dysfunction
• Myocardial Infarction Pathophysiology
• +۳ مورد دیگر

Dr. Stuart Hood is an Honorary Senior Lecturer at the University of Glasgow, affiliated with the School of Cardiovascular & Metabolic Health and the Cardiology Department at the Royal Alexandra Hospital. His expertise focuses on coronary microvascular dysfunction, myocardial infarction pathophysiology, and interventional cardiology. He has contributed to numerous studies on fractional flow reserve (FFR), stent optimization, and coronary artery disease management. Research interests include the interplay between coronary microvascular function and atherosclerosis, as well as outcomes in patients with non-obstructive coronary arteries. His work integrates clinical trials (e.g., CorMicA, TARGET-FFR) and imaging techniques (e.g., MRI, cardiac CT) to improve diagnostic accuracy and patient care. Key themes in his publications address post-percutaneous coronary intervention (PCI) outcomes, risk stratification in acute myocardial infarction, and the role of systemic microvascular dysfunction in angina. His articles highlight advancements in PCI optimization, prognostic biomarkers for myocardial infarction, and the impact of diabetes on coronary thrombus formation. Dr. Hood collaborates with institutions like the British Cardiovascular Intervention Society and has presented at major conferences such as ACC.18 and the British Society of Cardiovascular Magnetic Resonance. No scientific awards or grants are explicitly listed in the provided materials. His academic contributions are centered on clinical research and translational cardiology, with a focus on improving therapeutic strategies for coronary artery disease and post-infarction care.

• Drone Autonomy
• Drone-Based Remote Sensing
• Aerospace Engineering
• +۷ مورد دیگر

Dr. Fernando Vanegas Alvarez is a Lecturer at the School of Electrical Engineering and Robotics at Queensland University of Technology (QUT). He holds a M.Sc. in Electrical Engineering from Halmstad University and a PhD in Aerial Robotics from QUT. His research focuses on Drone Autonomy, UAV navigation in GNSS-denied environments, and AI-assisted remote sensing. Education: M.Sc. in Electrical Engineering, Halmstad University PhD in Aerial Robotics, QUT Research Interests: Dr. Vanegas' work emphasizes motion planning for UAV exploration , POMDP , SLAM , Visual Odometry , and AI-driven remote sensing applications . His projects include UAV frameworks for planetary exploration, invasive species mapping, and multi-UAV coordination in challenging environments. Scientific Awards: Advanced Queensland Industry Research Fellowship Grant (2024) Supervision & Grants: Dr. Vanegas has supervised three postgraduate students, including topics like planetary exploration UAV systems and multi-agent UAV search algorithms. He actively accepts new students for Honours, Masters, and PhD programs. His research is supported by grants and collaborations with the QUT Centre for Robotics. Teams & Affiliations: He is a core member of the QUT Centre for Robotics and contributes to the School of Electrical Engineering & Robotics. His work bridges robotics, AI, and environmental science.

• Building Design and Performance
• Visual and Thermal Comfort
• Human Health and Wellbeing
• +۷ مورد دیگر

Veronica Garcia Hansen is an Associate Professor in the School of Architecture & Built Environment at Queensland University of Technology (QUT). Her research focuses on the interplay between building design and performance, emphasizing visual/thermal comfort, human health/wellbeing, and innovative methodologies using sensors, machine learning, and VR. She is an internationally recognized expert in high-performance building envelopes, daylighting, and lighting's non-visual health effects. Her 2020 WiSTEM2D award ($250k grant) supported 'healing environments in hospitals via efficient lighting design,' one of six global awards selected from 550 applications. Education: PhD (Queensland University of Technology), BArch (Other). Professional memberships include AIA, ASA, ISES, CIE (Division 3 Editor), and multiple editorial roles. Research Leadership: HDR Training Coordinator (2019–2021), Deputy Academic Lead (Architecture), and leader of QUT's Design Lab 'Emerging Technologies' program. She chairs CIE Division 3 (Interior Environment & Lighting Design) and represents Australia in IEA Task 61. Awards & Recognition: 2020 Johnson & Johnson Scholar; 2003 Asian Innovation Award (Bronze); Division Editor roles; and leadership in global architectural science initiatives. Supervision & Grants: Advised over 100 postgraduate students and led projects like 'Designing Healthy and Efficient Luminous Environments' (LP150100179). Current supervision includes lighting design strategies for healthcare staff wellbeing. Labs/Teams: Core member of QUT's Design Lab, focusing on emerging technologies and interdisciplinary architectural science research.

• Meteorology
• Numerical Methods
• Remote Sensing
• +۵ مورد دیگر

Ireneusz Winnicki is a **Full Professor** at the **Military University of Technology**, affiliated with the **Faculty of Civil Engineering, Geodesy and Transport**. His research focuses on **meteorological modeling**, **numerical methods**, **remote sensing**, and **applied mathematics**, with applications in transport safety and environmental monitoring. **Research Interests**: He specializes in advanced numerical techniques for solving nonlinear systems (e.g., Newton’s method), high-order differential equation modeling (Beam–Warming, Lax-Wendroff), and radar-based precipitation intensity analysis. His work integrates atmospheric dynamics, image processing (Laplace contour filters), and parallel computing for weather forecasting and hazard prediction. **Collaborations and Impact**: He has extensive collaborations, notably with **Sławomir Pietrek** (14 joint publications). His research addresses critical challenges like frontogenesis/frontolysis modeling, MODIS satellite data analysis for visibility prediction, and urban development cartography in protected areas. **Awards and Recognition**: No scientific awards are explicitly mentioned in the provided texts. **Advising and Grants**: No advised students or specific grants are listed, though his work suggests involvement in research projects related to meteorological radar systems and numerical modeling.

• Spatial Cognition
• Cognitive Psychology
• Memory
• +۷ مورد دیگر

Holly A. Taylor is the Moses Hunt Professor of Psychology at Tufts University, with a secondary appointment in Mechanical Engineering. Since joining Tufts in 1994, she has co-directed the Center for Applied Brain & Cognitive Sciences and led the Tufts Spatial Cognition Lab . Her work bridges cognitive psychology, spatial cognition, and human performance optimization. PhD, Cognitive Psychology, Stanford University (1992) BA, Mathematics/Statistics, Dartmouth College (1987) Research Focus Dr. Taylor’s research explores mental representations of spatial and environmental information, comparing learning via maps versus direct navigation. Key themes include: Spatial Cognition : Navigation, memory, and visualization Spatial Language : Directions and descriptions Stress & Cognition : Emotion’s impact on decision-making STEM Applications : Spatial training for education Human Factors : Technology’s role in cognition Publications & Grants Her recent articles (2020–2025) analyze navigation aids, metacognition, and stress effects. She has secured U.S. Army grants since 2014, focusing on applied brain and cognitive sciences. The lab actively trains students and emphasizes real-world applications in education, military operations, and urban design.

• Addiction Medicine
• Mental Health
• Native American Health
• +۳ مورد دیگر

Christopher Cutter is an Assistant Professor in the Child Study Center at Yale University, serving as Director of the Native American Mental Health Program. His research focuses on addiction medicine, chronic pain management, and mental health disparities among Native American populations. Dr. Cutter holds a PhD from Northeastern University and completed postdoctoral training in Addiction Medicine at Yale School of Medicine. He has authored numerous peer-reviewed publications on opioid use disorder, integrated care models, and behavioral interventions. His work bridges clinical practice and research, emphasizing culturally competent care for marginalized communities. Education: PhD in Psychology (Northeastern University, 2007), Postdoctoral Fellowship in Addiction Medicine (Yale School of Medicine, 2009), Clinical Psychology Internship (Harvard Medical School/McLean Hospital, 2007). Research interests include the intersection of chronic pain and substance use disorder, virtual reality therapy for pain management, and improving mental health outcomes for Native American populations. He leads the Native American Behavioral Health and Psychotherapy Research Lab, exploring culturally adapted treatments for substance use and trauma. Key achievements include the Sally Provence Award for Excellence in Supervision (2023), Beck Institute Scholar designation (2013), and multiple grants from the National Institute on Drug Abuse. His recent work evaluates stepped care models for opioid use disorder (SC-POWR trial) and VR-based interventions in methadone maintenance programs.

Gert Frølund Pedersenمشاهده پروفایل

استاد

• Antenna Engineering
• Multiple-Input Multiple-Output (MIMO) Systems
• Millimeter Wave Technology
• +۶ مورد دیگر

Gert Frølund Pedersen is a Professor at the Department of Electronic Systems , Aalborg University , within the Technical Faculty of IT and Design . His research focuses on antennas, propagation, and millimeter-wave systems. He leads projects like DRONES (30 million DKK from Innovationsfonden) for drone-based electromagnetic signature analysis and EcoSurf6G for energy-efficient reconfigurable surfaces in 6G networks. With over 758 research outputs and 21 PhD students supervised, he contributes extensively to wireless communication advancements. Antenna Engineering Millimeter-Wave Systems Reconfigurable Intelligent Surfaces Deep Learning in Antenna Design His recent work emphasizes millimeter-wave IoT applications , UWB propagation channels , and 5G/6G antenna arrays . Publications highlight innovations in transmitarray antennas , liquid crystal polarization control , and metasurface design using AI. His research spans from fundamental electromagnetic safety to cutting-edge wireless infrastructure. Notable awards include Best Reading Paper of the Issue (IEEE Transactions on Microwave Theory and Techniques, 2020), ESI Highly Cited Paper (2019), and Ridder af Dannebrog (2021). He frequently engages with media to address public concerns about mobilstråling (mobile radiation) and its safety.

Dao Zhouمشاهده پروفایل

دانشیار

• Power Electronics
• Renewable Energy Systems
• Wind Turbine Reliability
• +۴ مورد دیگر

Dao Zhou is an Associate Professor at Aalborg University's Department of Mechatronic Systems, part of The Faculty of Engineering and Science. His research focuses on power electronics reliability, wind turbine systems, and grid integration of renewable energy. He holds a PhD in Electrical Engineering from Aalborg University (2014), specializing in reliability assessment of wind turbine systems. His key research areas include power converter control strategies, semiconductor reliability, and grid-forming/grid-following inverter technologies. He has led projects such as the Physics-informed AI for Prognostics in Power Converters and the HELP laboratory platform initiative. Zhou has supervised four PhD students and authored over 198 publications, with notable awards including the IEEE ICPE 2023-ECCE Asia and MPCE 2021 Best Paper Award. Recent work emphasizes predictive maintenance via physics-informed neural networks and seamless control transitions between grid modes. His lab collaborations span Europe, focusing on improving renewable energy system reliability and educational lab infrastructure.

Yan Yanمشاهده پروفایل

استادیار

• Bioinformatics
• Machine Learning
• Big Data Analysis
• +۷ مورد دیگر

Yan Yan is an Assistant Professor at the School of Computer Science, University of Guelph. His research focuses on bioinformatics, multi-omics analysis, and AI-driven computational models for understanding biological processes. His lab develops algorithms for genome-wide association studies, single-cell RNA-seq analysis, and de novo peptide sequencing, with applications in plant genomics and digital agriculture. Education : Not explicitly stated, but his publications suggest advanced training in bioinformatics and computational biology. Research Interests : Bioinformatics, Machine Learning, Big Data Analysis, Statistical Association, and AI applications in agriculture. His work integrates artificial intelligence with omics data to uncover disease mechanisms and improve agricultural practices. Recent trends in his publications emphasize robotics, structural health monitoring, and environmental sensing using hybrid neural networks and deep learning techniques. Grants & Awards : No awards explicitly listed, but his prolific publication record indicates sustained research activity. Advising & Labs : Advises students like B S Puliparambil and J Tomal. His lab actively collaborates on projects involving AI in agriculture, robotics, and structural engineering. Current initiatives include digital twins for human-robot collaboration and precision livestock monitoring systems. Labs/Teams : Leads a computational biology and AI lab focusing on multi-omics integration and smart agriculture solutions.

Amit Kaushikمشاهده پروفایل

استادیار

• Sustainable Construction Design
• Building Information Modelling (BIM)
• Indoor Environmental Quality (IEQ)
• +۵ مورد دیگر

Dr. Amit Kaushik is an Assistant Professor at Northumbria University's Architecture and Built Environment Department. He holds a PhD in Sustainable Construction Design and Management from the University of Wolverhampton (2019), an MSc in Construction Economics and Management, and a Bachelor of Architecture (Hons). His academic journey includes professional architectural practice in India and teaching roles in the UK since 2013. He leads courses in Architecture, BIM, Sustainable Design, and supervises dissertations and PhD candidates. Education: PhD, Sustainable Construction Design and Management (University of Wolverhampton, 2015–2019) MSc, Construction Economics and Management Bachelor of Architecture (Hons) Research focuses on: Indoor Environmental Quality (IEQ) impacts on occupants BIM and AI-driven construction innovation Off-site construction and lean principles Thermal comfort and sustainability His articles emphasize trends in: Climate change mitigation in construction AI applications for defect prediction and waste reduction Thermal/air quality-productivity linkages Awards include a special mention for outstanding design thesis. He has secured research funding as principal investigator/participant and reviewed for journals like Building and Environment and Architecture Engineering and Design Management . Advising includes completed PhD supervision and active grant-seeking roles. He collaborates internationally, including a visiting scholar role at UC Berkeley, and contributes to UN SDGs related to sustainable cities and climate action.

• Artificial Intelligence
• Robotics
• Computer Vision
• +۴ مورد دیگر

Hulya Yalcin is an Assistant Professor in the Department of Mechanical Engineering at Istanbul Technical University. Her research focuses on artificial intelligence applications in robotics, computer vision, and precision agriculture. She leads projects in musculoskeletal modeling, plant phenology monitoring, and assistive technologies for elderly care. Her work contributes to UN Sustainable Development Goals related to innovation, health, and sustainable agriculture. Key projects include using deep learning for crop yield estimation and developing exergaming systems to improve elderly health. She has authored 52 research outputs and secured funding for initiatives like AISENSE (EU-funded exergames) and plant classification via computer vision. Publications span robotics control, medical engineering, and agricultural informatics. Notable contributions include knee orthosis gait learning via deep reinforcement learning and low-resource Turkish speech recognition improvements. As Principal Investigator, she manages projects on plant classification using CNNs, drone-based depth mapping, and multimodal assisted living systems. Her research bridges AI with practical applications in healthcare, agriculture, and robotics.

Ghazala Saleemمشاهده پروفایل

استادیار

• Neuromotor Mechanisms
• Physiological Mechanisms
• Brain Injury Rehabilitation
• +۵ مورد دیگر

Dr. Ghazala Saleem is an Assistant Professor in the Department of Rehabilitation Science at the University at Buffalo’s School of Public Health and Health Professions. Her research focuses on neuromotor and physiological mechanisms in vulnerable populations with brain injury, motor control/learning, and targeted neuromodulatory interventions. She leads the Brain Function and Recovery Lab, emphasizing objective detection methods and cost-effective treatments for brain injury. Education : EdD, Movement Sciences (Occupational Therapy), Teachers College, Columbia University (2016) MS, Occupational Therapy, Columbia University (2010) BS, Psychology (Summa Cum Laude), Missouri Western State University (2006) Postdoctoral Fellowships: Johns Hopkins University (Brain Injury Neurorehabilitation, 2019) and Harvard Medical School (Clinical Trials, 2018) Research Interests : Dr. Saleem investigates interventions to enhance recovery in brain injury, particularly in populations with limited access to care. Her work combines neuroimaging, motor learning assessments, and neuromodulation to address post-concussive symptoms, intimate partner violence-related TBI, and pediatric motor performance. She is advancing telemedicine approaches for concussion assessment and advocating for marginalized communities. Awards : ACRM Brain Injury SIG Scholarship Award (2021) ACRM Complementary and Integrative Rehabilitation Medicine Fellowship (2021) Lab & Future Work : The Brain Function and Recovery Lab develops scalable solutions for brain injury rehabilitation. Current projects include studying IPV-associated TBI and optimizing telehealth concussion exams. Dr. Saleem aims to bridge clinical research and real-world accessibility, particularly for underserved populations.

Kelvin Ericksonمشاهده پروفایل

استاد

• Control Systems
• Factory Automation
• Programmable Logic Controllers
• +۳ مورد دیگر

Dr. Kelvin Erickson is the Curators’ Distinguished Teaching Professor of Electrical and Computer Engineering and Undergraduate Coordinator at Missouri University of Science and Technology. He joined the faculty in 1986 and served as Department Chair from 2002 to 2014. His expertise spans control systems, factory automation, and programmable logic controllers (PLCs), with over 40 years of experience in industrial automation and process control. Education: PhD in Electrical Engineering, Iowa State University MS and BS in Electrical Engineering, Missouri University of Science and Technology (formerly University of Missouri-Rolla) Research Interests: Dr. Erickson focuses on manufacturing automation, PLC design and applications, advanced process control, and industrial control systems. He has authored multiple textbooks, including Programmable Logic Controllers: An Emphasis on Design and Application and Allen-Bradley PLCs: An Emphasis on Design and Application . Awards and Honors: International Society of Automation Fellow (2019) Curators’ Distinguished Teaching Professorship (2019) IEEE Region 5 Outstanding Engineering Educator Award (2015) Multiple UMR Outstanding Teacher Awards (1987–2015) Grants and Collaborations: He has led grants such as the Controls Laboratory Equipment project (co-PI with Jagannathan Sarangapani). His industry collaborations include work with Fisher Controls, Magnum Technologies, and Rockwell Automation. Labs and Affiliations: Dr. Erickson is affiliated with the Kent D. Peaslee Steel Manufacturing Research Center and serves as an ABET Evaluator and ETAC Commissioner.