جست‌وجوی استاد و پژوهشگر

Uğur Algancıمشاهده پروفایل

دانشیار

• Remote Sensing
• Geomatics Engineering
• Land Use and Land Cover Analysis
• +۳ مورد دیگر

Uğur Algancı is an Associate Professor at Istanbul Technical University's Department of Geomatics Engineering in the College of Engineering. His research focuses on remote sensing, satellite image processing, and artificial intelligence applications in geospatial sciences. Current projects include: 2025: Multi-sensor Bathymetric Mapping (SRP Project) 2021-2023: Satellite-Derived Bathymetry for Horseshoe Island (TUBITAK Project) Research interests span: Coastal and marine geospatial analysis Land use/land cover change detection Super-resolution image enhancement AI-driven environmental monitoring Shallow water bathymetry Geospatial decision support systems Recent work demonstrates expertise in: Deep learning for coastline segmentation Historical aerial photograph restoration Forest fire prevention systems Earthquake-related air quality analysis Antarctic bathymetric mapping

Michael Morganمشاهده پروفایل

استاد

• Behavioural Neuroscience
• Visual Neuroscience
• Psychophysics
• +۷ مورد دیگر

Professor Michael Morgan is a renowned neuroscientist at City, University of London , specializing in the visual system. He joined the institution in 2000 and has held a Professor of Neuroscience appointment. His career spans prestigious institutions including the University of Cambridge , McGill University , Durham University , University College London (UCL) , and University of Edinburgh . Education: PhD, MA, and ScD in Natural Sciences (Experimental Psychology) from the University of Cambridge His research focuses on behavioural neuroscience with applications to vision science , particularly in motion processing , spatial vision , perceptual decision-making , and visual adaptation mechanisms . Current projects funded by the EPSRC and Wellcome Trust explore selective attention , signal detection , and visual space recalibration . Recent publications highlight his work on change detection , direction-selective adaptation , density/contrast modulation , and stereopsis . Collaborations with colleagues like J.A. Solomon and S. Grant span both Applied Vision Research Centre and external institutions such as UCI and Institute of Ophthalmology . Scientific Honors: Elected Fellow, The Royal Society (2005–present) His work bridges psychophysics , visual perception , and neural mechanisms , with implications for understanding both normal and clinical visual processing.

• Graph Neural Networks
• Time Series Analysis
• Anomaly Detection
• +۵ مورد دیگر

Cesare Alippi is a Professor at Politecnico di Milano in the Department of Electronics, Information and Bioengineering within the School of Industrial and Information Engineering. With an extensive publication record spanning over three decades from 1991 to 2025, he has established himself as a leading researcher in machine learning, particularly in graph neural networks, time series analysis, and anomaly detection. His research interests focus on developing advanced machine learning methodologies for time series analysis, graph-based learning, and anomaly detection systems. Professor Alippi's work bridges theoretical foundations with practical applications across various domains including smart systems, healthcare, and cybersecurity. His recent publications demonstrate a strong emphasis on graph-based approaches to time series forecasting, structural anomaly detection, and spatiotemporal modeling. His publication trends from 2023-2025 reveal a concentration on graph neural networks for time series applications, with significant contributions to forecasting, anomaly detection, and representation learning. These works often address challenges in spatiotemporal data, missing values, and structural pattern recognition, demonstrating both theoretical depth and practical utility. Professor Alippi has mentored numerous researchers who have become prominent collaborators, including Andrea Cini, Daniele Zambon, and Lorenzo Livi, among others. His collaborative network extends across multiple institutions and research domains.

• Computer Graphics
• Human-Computer Interaction
• 3D Visualization
• +۳ مورد دیگر

Hossein Azari is a researcher in the Department of Computing Science at the University of Alberta, focusing on advanced 3D interaction methods. His work addresses the challenges of transitioning from 2D to stereoscopic 3D environments, particularly through the development of the Stereo 3D Cursor (S3D-Cursor) for precise 3D object manipulation. Research Areas: Computer Graphics, Human-Computer Interaction, 3D Visualization, Stereoscopic Displays, Virtual Reality, and 3D User Interfaces. In his 2010 publication, Azari introduced a novel approach to implementing a stereo 3D mouse cursor, enabling users to interact with 3D objects via disparity control. The study demonstrated the technique’s effectiveness in enhancing depth perception and user satisfaction, validated through experiments with QSplatMV software and user evaluations on tasks like 3D lung model contouring. The theoretical contributions include mathematical models for stereo cursor accuracy, analysis of depth resolution limitations in stereoscopic systems, and proposed virtual enhancements (e.g., auto-disparity adjustment, target size scaling) to improve performance. Applications span 3D games, medical imaging, and autostereoscopic displays, with future work emphasizing accuracy improvements and advanced UI tools.

Fritzner, Sindre Markusمشاهده پروفایل

پژوهشگر

• Sea Ice Modeling
• Data Assimilation
• Machine Learning Applications in Environmental Science
• +۳ مورد دیگر

Sindre Markus Fritzner is a researcher at UiT The Arctic University of Norway, affiliated with the Faculty of Science and Technology and the Department of Physics and Technology . His work focuses on sea ice modeling, data assimilation, and machine learning applications for Arctic forecasting, with secondary contributions to fusion plasma physics. Specializes in high-resolution coupled ocean-sea ice models and satellite data integration Developed operational systems like Barents-2.5km v2.0 for Arctic forecasting Contributed to fusion reactor scrape-off layer dynamics studies His research combines traditional dynamical modeling with statistical approaches to improve Arctic operational safety and weather prediction. Recent publications highlight trends in: Arctic ocean-sea ice ensemble prediction Comparative assimilation techniques (MVN vs EnKF) Machine learning integration with climate models Plasma turbulence characterization in fusion reactors Fritzner has no explicitly listed scientific awards or advisees in the provided materials.

Steven C. Ludwigمشاهده پروفایل

استاد

• Orthopedic Surgery
• Neurosurgery
• Spine Surgery
• +۵ مورد دیگر

Steven C. Ludwig, MD, is a Professor in the Department of Orthopaedics at the University of Maryland School of Medicine. He serves as Division Head of Orthopaedic Spine Surgery and Executive Vice Chair of the Department of Orthopaedics. Dr. Ludwig specializes in cervical spine disorders, minimally invasive spinal techniques, motion-preservation surgery, and tumor reconstruction. Education: MD from Robert Wood Johnson Medical School; Internship and Residency at Thomas Jefferson University Hospital; Fellowship at Emory University Hospital. His research focuses on biomechanics, spinal trauma, and surgical outcomes. He has contributed to studies on lumbopelvic fixation, pedicle screw techniques, and implant-related infections. Dr. Ludwig is affiliated with multiple institutions, including the University of Maryland Medical Center and the Baltimore VA Medical Center. American Orthopaedic Association Research Award Cervical Spine Research Society Award North American Spine Society Research Award Pennsylvania Orthopaedic Society Award

Partsinevelos Panagiotisمشاهده پروفایل

استاد

• Space Informatics
• Geoinformatics
• Satellite Remote Sensing
• +۱۲ مورد دیگر

Professor Partsinevelos Panagiotis is affiliated with the Technical University of Crete's School of Mineral Resources Engineering, where he works in the Mineral Resources Detection and Identification Department. He leads the Laboratory of Geodesy and Geoscience Informatics (SenseLab) and teaches courses including Geographic Information Systems, Technical Geodesy, and Environmental Remote Sensing. His office is located in rooms M3.305 and M1.212, with contact number +30 28210 37628. Research Focus Space Informatics Unmanned Systems (drones, airborne, ground, and sea applications) Machine Learning and Neural Networks Geometric Documentation of Monuments Smart Cities and Precision Agriculture His recent publications demonstrate expertise in UAV-based spatial analysis, environmental monitoring, and geoinformatics applications. Research projects include EU-funded initiatives like 'Space Innovation Analysis' and 'AID4PV PV Plant Diagnosis', alongside national projects such as 'SandMap' and 'Drones 2 GNSS.' Notable Projects Partner PI in EU-funded 'Space Innovation Analysis' (2023) Co-PI in 'AID4PV' UAV-based PV diagnostics (2021-present) Coordinator of 'SandMap' (2020-present) PI for 'UAV Precision Measurements' (2018-2023) Coordinator of Crete-GIS architecture (2017-2019) Leader in ERANETMED 'DESiRES' project Professor Partsinevelos contributes to geospatial innovation through field robotics, satellite technologies, and data science applications, with emphasis on environmental and urban challenges.

Nischal K. Gautamمشاهده پروفایل

استاد

• Pediatric Cardiovascular Anesthesiology
• Anesthesiology
• Pediatric Cardiology
• +۲ مورد دیگر

Nischal K. Gautam, MBBS is a Professor and Vice Chair at The University of Texas Health Science Center at Houston , specializing in Pediatric Cardiovascular Anesthesiology . His clinical expertise includes pediatric cardiovascular anesthesia and postoperative care. Bangalore Medical College (MBBS, 1998) University of Arkansas (Anesthesiology Residency, 2003-2006) Pediatric Cardiothoracic Fellowship, 2006-2007 Dr. Gautam's research focuses on optimizing anesthesia protocols for pediatric cardiac patients, with studies examining pharmacological agents like protamine and dexmedetomidine, coagulation dynamics during cardiopulmonary bypass, and airway management techniques. His work bridges clinical practice with translational research in perioperative outcomes. Recent publications highlight innovations in Bispectral Index monitoring , ultrasound-guided intubation verification , and functional fibrinogen analysis . Key subfields include pediatric anesthetic depth assessment, coagulopathy prevention, and postoperative arrhythmia management. Current grants involve collaborative studies on: Isoproterenol's impact on EEG monitoring in pediatric EP studies Dexmedetomidine's role in reducing postoperative tachyarrhythmias Ultrasound verification of endotracheal tube placement Dr. Gautam contributes to medical education through clinical manuals and book chapters, including case studies for Morgan Mikhail Clinical Anesthesiology and a comprehensive guide on pediatric cardiac anesthesia.

Yimin Zhuمشاهده پروفایل

دانشیار

• Plant Cell Wall Biology
• Lignin Chemistry
• Chemical Synthesis
• +۳ مورد دیگر

Yimin Zhu is an Associate Professor at Penn State University, affiliated with the Division of Mathematics & Natural Sciences at Penn State Altoona. His research intersects plant cell wall biology , lignin chemistry , and materials science , focusing on monolignol synthesis, lignification mechanisms, and topological materials. University: Penn State University Title: Associate Professor Email: yuz30@psu.edu Dr. Zhu’s publications highlight interdisciplinary work, including synthesis of monolignols , lignin engineering in maize , and studies on nodal-line semimetals and superconductivity in Heusler compounds . His research keywords span Biochemistry , Materials Science , and Chemical Synthesis , with sub-fields covering lignification, quantum materials, and phenolic compound engineering. He was awarded the Schreyer Institute Teaching Grant in 2022-23 and received IEE seed grants for interdisciplinary projects.

Ayla GÜRSOYمشاهده پروفایل

استاد

• Surgical diseases nursing
• Breast cancer nursing
• Perioperative nursing
• +۳ مورد دیگر

Ayla GÜRSOY is currently Dean of the Faculty of Health Sciences and a faculty member in the Department of Nursing at Antalya Bilim University. Previously, she served for 28 years as a lecturer at Karadeniz Technical University, retired in 2017, and then headed the Department of Nursing at Cyprus International University School of Health Sciences. Education Bachelor’s degree in Nursing, Ege University School of Nursing, 1989 Master’s degree, Hacettepe University Health Sciences Institute, Department of Surgical Diseases Nursing Doctorate, Hacettepe University Health Sciences Institute, Department of Surgical Diseases Nursing Research Focus Dr. GÜRSOY’s scholarly work is concentrated in surgical diseases nursing , with particular depth in breast cancer nursing and perioperative nursing care . Her studies explore symptom management, quality-of-life issues, psychosocial impacts of cancer treatment, and innovative nursing interventions using digital tools such as mobile applications and virtual reality. Across more than 60 peer-reviewed publications from 2009 to 2024, a clear trend emerges: early work addressed general surgical nursing, emergency department utilization, and evidence-based practice adoption, while recent outputs center on technology-enhanced supportive care for breast cancer patients undergoing surgery and radiotherapy. The body of work reflects a progressive integration of qualitative inquiry, intervention development, and rigorous clinical evaluation. Scientific Awards No specific awards are mentioned in the provided text. Advising & Grants While individual student names are not listed, Dr. GÜRSOY’s extensive research portfolio indicates substantial mentorship of graduate students and research assistants across multi-center, longitudinal, and interventional studies. Funding sources are not explicitly stated. Laboratories & Teams As Dean, she leads the Faculty of Health Sciences at Antalya Bilim University and actively participates in the Nursing Department’s research environment. Her collaborative network spans multiple Turkish universities and clinical centers, evidenced by multi-site studies in emergency departments, surgical units, and oncology clinics.

Jussi Ängesleväمشاهده پروفایل

استاد

• Media Art
• Interaction Design
• Digital Materiality
• +۳ مورد دیگر

Jussi Ängeslevä is a Professor at Berlin University of the Arts and Creative Director at ART+COM Studios, specializing in media art, interaction design, and digital materiality. His career spans academic roles including Visiting Professor at Royal College of Art (2011-2018), Honorary Professor at UdK Berlin (2011-present), and Assistant Professor at UdK Berlin (2005-2007). He holds an MA in Audio-Visual Media Culture from the University of Lapland (2004) and an MA in Interaction Design from the Royal College of Art (2002). His research explores the intersection of computational design, physical interfaces, and spatial communication, with notable interests in kinetic sculptures, caustic light systems, and hybrid museum experiences. Projects like 'RGB|CMY Kinetic' and 'Pinnannousu' demonstrate his integration of mechatronics, computational optics, and environmental interaction. Ängeslevä has received over 20 international awards including a D&AD Black Pencil (2009), Cannes Lions Gold (2009), and Prix Ars Electronica (2003). His contributions to academic discourse include publications on prototyping methodologies, digital materiality, and embodied interaction in venues like Springer and Cambridge University Press. He actively participates in juries for Ars Electronica, D&AD, and Siggraph. Collaborations with institutions like EPFL and Museum für Naturkunde highlight his interdisciplinary approach. Current projects include 'NuForm' (hybrid museum experiences) and 'Place of Remembrance' (data-driven memorials using organic materials). He maintains affiliations with the Hybrid Plattform Berlin and contributes to design education globally.

Philip O'Herronمشاهده پروفایل

استادیار

• Neurovascular Coupling
• Visual Processing
• Cerebral Blood Flow
• +۳ مورد دیگر

Philip O'Herron, PhD, is an Assistant Professor at Augusta University's Medical College of Georgia, Department of Physiology. His work bridges neurovascular coupling and visual processing, focusing on the interdependence between cortical neural activity and hemodynamic responses. Education: PhD in Neuroscience (2009, Johns Hopkins University), BA in Chemistry (2002, George Mason University), BA in Philosophy (2000, Christendom College) Research Themes: Dr. O'Herron's lab investigates functional hyperemia's physiological role using optogenetic vascular control. Current projects examine Alzheimer's disease vascular interactions , 3D optogenetic vessel manipulation , and vasculo-glia-neuronal coupling through collaborations with Dr. Jessica Filosa and Dr. Felipe Barros. Article Trends: Recent publications span neurovascular modeling , metabolic adaptation studies , and in vivo optical manipulation techniques , reflecting his work on vascular cognitive impairment and cortical depth-dependent processing. Scientific Awards: First prize MUSC research day (2012) Johns Hopkins neuroscience poster award (2008) Advising & Grants: Leads NIH-funded projects on Alzheimer's blood flow mechanisms (NIA R01) and neurovascular coding (NINDS R01). Mentors postdoctoral fellows in vascular neuroscience and develops models for cortical blood flow regulation.

• Subduction Zone Dynamics
• Global Plate Motion
• Craton Evolution
• +۴ مورد دیگر

Jiashun Hu is an Associate Professor at the Department of Earth and Space Sciences, Southern University of Science and Technology (SUSTech), Shenzhen, China. He obtained his Bachelor’s degree (2013) from Peking University and Ph.D. (2018) from the University of Illinois at Urbana-Champaign. From 2018 to 2020, he conducted postdoctoral research at the Seismological Laboratory, California Institute of Technology. Education: B.Sc., Earth Physics, Peking University (2013) Ph.D., Earth and Planetary Science, University of Illinois at Urbana-Champaign (2018) His research focuses on subduction zone dynamics , global plate motion , craton evolution , and earthquake-volcano distribution , using high-resolution numerical models integrated with geophysical-geological observations. His work explores mantle flow, slab-plume interaction, and climate-tectonic feedback mechanisms. Recent publications highlight his expertise in mantle convection simulations and dynamic Earth modeling , addressing topics like the Tarim Large Igneous Province, Andean growth, and Tethys subduction remnants. Key journals include Nature Geoscience , Nature Communications , and EPSL . Scientific Awards: 2022 AOGS SE Kamide Lecture (Young Scientist) 2021 Chinese Young Talent Program 2019 Chinese Government Award for Outstanding Self-Finance Students Abroad 2018 Kirkpatrick Award, UIUC Jiashun Hu mentors students including Wang K., Zhou H., Li K., Zhang J., and Wu X., with research group projects focusing on data assimilation and geodynamic modeling . He actively recruits graduate students and postdocs in geodynamics and computational geophysics.

Andrew Kennedyمشاهده پروفایل

استاد

• Materials Science
• Additive Manufacturing
• Porous Materials
• +۷ مورد دیگر

Professor Andrew Kennedy is the Chair in Advanced Manufacturing and Head of the Department of Engineering at Lancaster University . A graduate of Imperial College and Cambridge University, he previously held academic positions at Nottingham University. His research focuses on novel manufacturing methods for advanced materials, particularly multi-phase materials like metal matrix composites, metal foams, and porous materials, using techniques such as additive manufacturing, powder processing, and gel casting. Research Interests: Development of lightweight and energy-absorbing structures, novel batteries and energy storage systems, thermal/fluid flow management, and medical devices. Collaborations: Leads the TWI-Lancaster Joining 4.0 Centre and works with experts in AI, robotics, and machine learning to enhance manufacturing processes. Scientific Achievements: Published over 140 peer-reviewed papers, holds 2 patents, supervised 40+ PhD students, and led 65+ research projects including EU initiatives with 10+ industrial/academic partners. International Collaborations: Partnerships with institutions in Spain, Germany, Finland, Romania, Greece, Italy, Switzerland, China, Thailand, India, Malaysia, Mexico, Chile, Australia, and Canada.

Cemil ÖZمشاهده پروفایل

استاد

• Computer Science
• Artificial Intelligence
• Computer Vision
• +۹ مورد دیگر

Prof. Cemil ÖZ is a full-time Professor at Sakarya University's Faculty of Computer and Information Sciences, where he has held academic positions since 1998. He leads research in computer vision, artificial intelligence, and medical imaging applications, with ongoing projects in virtual simulation systems and machine learning diagnostics. Education PhD in Electrical and Electronics Engineering, Sakarya University (1995-1998), specializing in neural network-based robotic trajectory control Master's in Electronics and Computer Education, Marmara University (1989-1993), focusing on adaptive robotic control systems Bachelor's in Electronics and Communication Engineering, Yıldız University (1986-1989) Research Focus Prof. ÖZ's interdisciplinary research bridges computer science with healthcare, industrial applications, and security. Primary domains include: Medical AI : Machine learning for neuroimaging diagnostics (e.g., multiple sclerosis differentiation) Virtual Simulation : Industrial and educational systems (welding/driving simulators) Computer Vision : 3D reconstruction, object detection, and facial analysis Applied ML : Hybrid algorithms for predictive modeling in security and social media Publication Trends Recent articles (2019-2024) demonstrate strong emphasis on AI-driven healthcare solutions (38% of works), particularly neurological disorder diagnostics using MRI/spectroscopy data. Virtual training systems constitute 27% of output, focusing on industrial/educational simulations. Remaining publications advance computer vision techniques (3D reconstruction, object detection) and security applications (terrorism prediction, sentiment analysis). Methodologically, deep learning (YOLO, CNN) and sensor integration (Kinect) are predominant.