جست‌وجوی استاد و پژوهشگر

Michael McCulloughمشاهده پروفایل

پژوهشگر ارشد

• Computational Neuroscience
• Neural Coding
• Machine Learning
• +۵ مورد دیگر

Dr. Michael McCullough is a Jubilee Joint Fellow at ANU's John Curtin School of Medical Research (JCSMR), affiliated with the Eccles Institute of Neuroscience and School of Computing. His research focuses on computational neuroscience, developing novel methods to analyze neural activity and behavior using machine learning, network science, and complex systems analysis. Education: BEng (Hons) and BMus (Hons) from UWA (2013), PhD in applied mathematics (2018). Postdoctoral experience includes work at the UWA Young Lives Matter Foundation and Queensland Brain Institute. Current affiliations include leadership of The McCullough Group and membership in the Centre for Computational Biomedical Sciences and Division of Neuroscience. Research interests emphasize large-scale neural data analysis, particularly in developing algorithms to interpret patterns in neural activity and behavioral recordings from awake animals. Techniques include topological data analysis, network dynamics, and computational ethology. Collaborates internationally on projects involving neural coding, sensory processing, and brain development. Publications span computational neuroscience, biomedical signal processing, and nonlinear dynamics. Active in translating computational methods to clinical mental health applications and neurodevelopmental studies. Lab leadership includes supervision of research assistants and associates in the McCullough Group.

Abhijit Mahalanobisمشاهده پروفایل

دانشیار

• Computational Sensing and Imaging
• Video/Image Processing
• Automatic Target Recognition (ATR)
• +۳ مورد دیگر

Dr. Abhijit Mahalanobis is an Associate Professor at the University of Central Florida (UCF), affiliated with the Center for Research in Computer Vision (CRCV). Previously, he served as a Senior Fellow at Lockheed Martin and held academic positions at the University of Arizona and the University of Maryland. He earned his B.S. from UC Santa Barbara (1984) and M.S./Ph.D. from Carnegie Mellon University (1985/1987). His research focuses on computational sensing, imaging systems, and automatic target recognition (ATR). Notable contributions include work on correlation filters, compressive sensing, and 3D imaging. He has published over 170 papers, holds four patents, and co-authored a book on pattern recognition. Dr. Mahalanobis has received prestigious awards such as the IEEE Fellow (2015), OSA Fellow (2004), and SPIE Fellow (1997). He has been honored with the Lockheed Martin NOVA Award (2005), Scientist of the Year (2006), and Innovator of the Year (1999). He has served on editorial boards for journals like Applied Optics and Pattern Recognition , and chairs for OSA and SPIE conferences. His research spans topics including infrared target detection, compressive sensing architectures, and deep learning for target recognition. The CRCV lab, under his leadership, develops advanced algorithms for defense and surveillance applications.

• Computer Vision
• Medical Image Analysis
• Machine Learning
• +۲ مورد دیگر

Anna Fabijańska is a Professor at the Institute of Applied Computer Science within the Faculty of Electrical, Electronic, Computer and Control Engineering at Lodz University of Technology, Poland. Her research focuses on computer vision, medical image analysis, and machine learning applications in biomedical engineering and environmental science. Her primary research interests include developing advanced algorithms for image segmentation, 3D reconstruction, and neural network applications in medical diagnostics (especially ophthalmology and pulmonology) and forestry research. She specializes in techniques like graph convolutional networks, hyperspectral imaging, and generative adversarial networks for data augmentation. Through analysis of her recent publications, Fabijańska demonstrates consistent focus on improving computational efficiency and accuracy in image-based diagnostics and monitoring systems. Her work spans industrial tomography, corneal endothelium analysis, timber identification, and glacial sediment studies. Her laboratory develops practical computer vision pipelines for healthcare and environmental applications, demonstrating interdisciplinary collaboration between computer science, medicine, and ecology.

• Optical Fiber Sensing
• Wireless Communication Networks
• Internet of Things
• +۷ مورد دیگر

Huan Wu is an accomplished academic researcher with a substantial publication record spanning nearly three decades (1996-2025), comprising 63 indexed publications in the dblp database. Their scholarly work demonstrates expertise across multiple technical domains with significant contributions to optical communication systems, wireless networking, and artificial intelligence applications. Research interests focus on the intersection of electrical engineering and computer science, particularly in developing advanced sensing technologies using optical fibers, creating efficient communication protocols for IoT systems, and applying machine learning techniques to environmental monitoring and biomedical applications. Recent work shows a strong trend toward AI integration for infrastructure monitoring systems, including water pipe leak detection and hydrological modeling, as well as healthcare applications like non-invasive glucose monitoring and medical image analysis. The publication portfolio reveals a clear evolution from foundational work in signal processing and communication systems toward increasingly interdisciplinary research that bridges engineering with environmental science and healthcare. Recent publications (2023-2025) demonstrate particular strength in graph neural networks, distributed sensing systems, and AI-driven solutions for critical infrastructure monitoring. Based on publication patterns including consistent first-author contributions, supervisory roles evident in student collaborations, and extensive research output, Huan Wu appears to hold a senior academic position with significant research leadership. The collaborative nature of the work, involving multiple institutions across China and internationally, suggests active participation in major research initiatives and substantial grant funding, though specific details are not provided in the publication records.

Jonathan Scelsaمشاهده پروفایل

استاد

• Architecture
• Urban Design
• Robotic Construction
• +۳ مورد دیگر

Jonathan Scelsa is a Professor and K-12 Center Instructor in the Undergraduate Architecture Department at Pratt Institute's School of Architecture. A licensed architect in New York, he co-founded OP – Architecture Landscape, a practice exploring intersections between architecture and landscape. His research focuses on optical mechanics, robotic construction, and urban micro-infrastructure reorganization. Educations: Master of Architecture in Urban Design with Distinction, Harvard University Graduate School of Design Bachelor of Architecture with Minor in Industrial Design + Fabrication, Carnegie Mellon University Research Interests: Jonathan’s work integrates geometric principles of optical mechanics with contemporary robotic fabrication techniques. He investigates how visible micro-infrastructure elements can reshape urban environments, advocating for a dis-integrated relationship between architecture and landscape. His practice, OP, emphasizes experimental design solutions that challenge conventional disciplinary boundaries. Recognition: His work has been supported by the American Academy in Rome, NYSCA, the Architectural League of New York, and the Fulbright Program. Publications include contributions to PIDGIN, Bracket, MONU, and co-edited volumes like The Function of Style (2020) and an upcoming Routledge title on climate-responsive pedagogy. Teaching & Grants: Jonathan has taught at institutions including Harvard GSD, University of Pennsylvania, and Parsons. His current courses at Pratt include Advanced Design I-III. Grants have enabled explorations in robotic construction and climate-sensitive urban design. Labs/Teams: OP – Architecture Landscape serves as a collaborative platform for experimental design, blending architectural and landscape strategies to address contemporary urban challenges.

• Spatial vision
• Contrast gain control
• Binocular vision
• +۵ مورد دیگر

Tim S. Meese is a Professor of Vision Science at Aston University , affiliated with the Optometry & Vision Science Research Group within the College of Health and Life Sciences . He is also director of the Centre for Vision and Hearing Research and the Aston Laboratory for Immersive Virtual Environments (ALIVE) . Education: PhD in Pattern Vision (University of Bristol, 1993) BSc in Computer Science & Psychology (Newcastle University, 1989) HNC in Electronics Engineering (Nottingham Trent University, 1986) Research interests include spatial vision, contrast gain control, binocular vision, depth perception, psychophysical methods, complex motion and optic flow, virtual reality, and computational modeling. His work explores how humans process visual information, with applications in virtual environments and military camouflage. Article trends focus on visual perception anomalies, computational modeling of vision systems, and practical applications in aerospace and military contexts. His recent publications examine aerial image classification, dazzle camouflage effectiveness, and binocular disparity mechanisms. Grants & Funding include support from The Wellcome Trust, The Leverhulme Trust, BBSRC, EPSRC, HEFCE, The Wolfson Trust, The Eranda Foundation, The Cadbury Trust, and the Eveson Trust. Laboratory : As director of ALIVE , he leads immersive virtual environment research funded by multiple trusts and organizations.

Yacine Chitourمشاهده پروفایل

استاد

• Control Theory
• Stability Analysis
• Delay-Differential Equations
• +۳ مورد دیگر

Yacine Chitour is a Professor at CentraleSupélec, affiliated with the Laboratoire des Signaux et Systèmes (L2S). His research focuses on control theory, stability analysis, delay-differential equations, and mathematical modeling in vision. He has contributed to key areas such as nonlinear systems, controllability of partial differential equations, and the application of geometric methods to control problems. Chitour holds notable awards including the IUF Senior position (2018-2023) and has served in administrative roles such as Director of the iCODE institute. His work includes over 70 journal articles and book chapters, addressing topics like the MacKay effect, switched systems, and stabilization techniques. He has organized significant conferences and contributed to collaborative projects like the CIMPA School in Tlemcen, Algeria. His research also involves interdisciplinary applications, including robotics, neuroscience, and telecommunications, reflecting his broad expertise in applied mathematics and control systems.

Yousef Farajمشاهده پروفایل

مدرس ارشد

• Materials Science
• Environmental Engineering
• Nanotechnology
• +۷ مورد دیگر

Dr. Yousef Faraj is a Senior Lecturer at the University of Chester, affiliated with the Faculty of Science, Business and Enterprise. His research spans interdisciplinary fields including materials science, environmental engineering, and nanotechnology, with a focus on advanced materials for energy-efficient systems, water decontamination, and biomedical applications. His work integrates experimental and computational approaches to develop innovative solutions for challenges in multiphase flow measurement, smart hydrogel systems, and photocatalytic remediation. Notable contributions include studies on memristor-based neural networks, ferroelectric photomemristors for artificial vision systems, and light-responsive nanochannel membranes for pesticide control. Dr. Faraj also specializes in multiphase flow characterization using techniques like Electrical Resistance Tomography (ERT) and Particle Image Velocimetry (PIV), contributing to industrial applications in oil/gas/water flow measurement and sewage sludge management. His research emphasizes sustainability, energy efficiency, and scalable microfluidics for material synthesis.

Daciana Iliescuمشاهده پروفایل

دانشیار

• Precision measurements using optical techniques
• Flow visualisation
• Particle Image Velocimetry
• +۷ مورد دیگر

Dr. Daciana Iliescu is an Associate Professor at the School of Engineering, University of Warwick, and serves as Admissions and Widening Participation Manager. Her research focuses on precision optical measurements, biomedical imaging, and flow visualization, complemented by expertise in opto-electronics and information engineering. She has contributed to interdisciplinary projects involving sensor technology, biomedical informatics, and fuzzy logic-based risk assessment. Her teaching spans LabVIEW/Matlab, multimedia communications, and internet engineering. Key research projects include potato storage disease detection using gas sensors and bone investigation via optical methods. She has secured grants from AHDB, European Commission, and EPSRC for projects like EUPHOROS and BIOD. Her work bridges engineering and applied sciences, emphasizing practical solutions for food security, medical diagnostics, and sensor innovation. Publications span optical engineering, biomedical informatics, and fluid dynamics, showcasing her versatility across disciplines. She oversees admissions strategies to enhance diversity in engineering education.

Nimsiri Abhayasingheمشاهده پروفایل

مدرس ارشد

• Inertial Measurement Unit (IMU) Applications
• Human Gait Modeling and Analysis
• Sensor Data Processing
• +۳ مورد دیگر

Nimsiri Abhayasinghe is a Senior Lecturer at Curtin University's School of Electrical Engineering, Computer and Mathematical Sciences. Their work focuses on inertial measurement units (IMUs), human gait modeling, and sensor-based systems for navigation, robotics, and biomedical applications. They are affiliated with the Faculty of Science and Engineering and contribute to the Office of the Provost's initiatives. Research interests include IMU calibration techniques, wearable sensor algorithms, and IoT-enabled assistive technologies. Notable contributions involve developing cost-effective IMU systems for navigation research, validating thigh angle estimation accuracy using optical motion capture, and creating gesture recognition systems for sign language. Publications span topics like human gait phase recognition, RPM detection using ignition pulses, and solar microgrid designs. Their work bridges mechanical engineering, computer science, and biomedical applications, emphasizing practical sensor integration and algorithmic innovation. No scientific awards are listed, but their research demonstrates expertise in sensor data analysis and interdisciplinary engineering solutions. Advising and grant details are not explicitly provided in the profile. They are based at Curtin Perth's New Technologies Building, Room 329.

Craig J. Huangمشاهده پروفایل

دانشیار

• Pediatric Emergency Medicine
• Trauma Care
• Appendicitis Diagnosis
• +۶ مورد دیگر

Craig J. Huang is an Associate Professor of Pediatrics at UT Southwestern Medical Center, practicing in the emergency departments at Children’s Health Dallas and Plano. He serves as Trauma Medical Director for Children’s Health Plano campus (since 2016), Division Director for Trauma and Prehospital Services in Pediatric Emergency Medicine, and Medical Director for the ED Senior Paramedic Program. Previously, he directed the pediatric emergency medicine fellowship (2009-2015). His educational background includes: Medical School: University of Texas Medical Branch, Galveston Pediatric Residency: Medical College of Virginia, Richmond Pediatric Emergency Medicine Fellowship: Eastern Virginia Medical School/Children’s Hospital of The King’s Daughters, Norfolk Dr. Huang’s research centers on pediatric emergency conditions with emphasis on trauma systems, appendicitis diagnostics, and toxicology. His work bridges clinical practice and system improvement, notably adapting Pulmonary Embolism Response Teams (PERT) for pediatrics and developing national disaster response competencies. Recent publications highlight innovations in point-of-care diagnostics (e.g., nonmydriatic fundoscopy) and safety initiatives addressing workplace violence. Analysis of his 15 most recent publications (2012-2025) reveals three dominant themes: 1) Trauma and critical care systems (PERT implementation, injury pattern analysis), 2) Diagnostic refinement (appendicitis scoring, pneumonia recognition), and 3) Safety and quality improvement (workplace violence prevention, toxicology protocols). Notably, his work increasingly focuses on multidisciplinary team approaches for complex conditions. Scientific awards: No specific awards documented in source materials Dr. Huang mentored fellows during his tenure as associate fellowship director (2009-2015). While grant details are unspecified, his leadership in national initiatives (e.g., disaster core competencies) suggests significant research funding involvement. He currently directs trauma and prehospital services programs impacting regional emergency care systems. He leads the pediatric Pulmonary Embolism Response Team (PERT) and integrates with Children’s Health Plano’s trauma center infrastructure, focusing on rapid response systems for time-sensitive emergencies like pulmonary embolism and severe trauma.

Rui Lopesمشاهده پروفایل

پژوهشگر

• Sports Science
• Network Analysis
• Agent-Based Modeling
• +۳ مورد دیگر

Rui Lopes is a researcher affiliated with the Iscte Business School at ISCTE - Instituto Universitário de Lisboa. His work focuses on interdisciplinary research at the intersection of sports science, network analysis, and complex systems. Key research interests include team performance dynamics in football (soccer), spatial analysis using Voronoi diagrams, agent-based modeling of collective behavior, and applications of machine learning in sports analytics. His academic contributions span multiple domains: Sports Science: Investigating tactical performance, player coordination, and decision-making in elite football through quantitative methods. Network Analysis: Developing algorithms to detect fraudulent networks in telecom systems and analyzing urban mobility structures. Complex Systems: Exploring synergistic interactions in teams using hypernetworks and ecological dynamics frameworks. Recent research highlights include: A dynamic method using Voronoi diagrams to assess team passing behavior in football (2023) Analysis of synchronization tendencies in elite football teams (2023) Machine learning approaches to decode success features in soccer passes (2022) No scientific awards or grants are explicitly mentioned in available texts. His work often intersects with the Real-Life Learning initiative at ISCTE Business School, emphasizing practical applications of theoretical frameworks.

Alberto Ruiz Garciaمشاهده پروفایل

دانشیار

• Computer Vision
• Artificial Intelligence
• Machine Learning
• +۷ مورد دیگر

Alberto Ruiz Garcia is an Associate Professor at the University of Murcia , affiliated with the Faculty of Informatics and the Department of Computer Science and Systems Engineering . His research focuses on Computer Vision , Artificial Intelligence , and Multisensory Integration , with notable contributions to sensor systems, IoT-based agriculture, and electronic tongue technologies. He completed his doctoral thesis at the Universidad Complutense de Madrid in 1991, titled Mecanismos de integración multisensorial en un sistema de percepción artificial . Education: PhD in Computer Science from Universidad Complutense de Madrid (1991) Research Interests: His work spans mobile computing , computer vision applications , smart farming systems , and electrochemical sensing . He leads projects like FARMIT for crop quality monitoring and has developed frameworks such as QVision for real-time computer vision. Recent Work Trends: Recent publications emphasize few-shot learning for industrial safety, AI-driven agricultural monitoring, and innovative sensor technologies for quality control in irrigation and food analysis. His work bridges computer science with practical engineering challenges in robotics, environmental monitoring, and healthcare diagnostics. Labs & Teams: Member of research groups including Mobile Computing and Computer Vision and Computación Móvil y Visión Artificial , focusing on applied engineering and parallel programming for perception systems.

Sangmi Yooمشاهده پروفایل

استاد

• Printmaking
• Installation Art
• Memory and Perception
• +۱۰ مورد دیگر

Sangmi Yoo is a Professor of Art at the Texas Tech University School of Art , where she teaches printmaking and drawing. She holds an M.F.A. from The Ohio State University and a B.F.A. from Seoul National University. Academic Rank: Professor Education: M.F.A. (The Ohio State University), B.F.A. (Seoul National University) Her artistic practice explores the intersection of personal memory, collective perception, and public spaces through layered hand-cut and laser-cut prints, paper panels, and felt installations. She draws inspiration from botanical elements, Dazzle camouflage patterns, and post-digital printmaking techniques to create optical illusions that challenge notions of idealized environments. Notable exhibitions include Lucca Biennale Cartasia (2024), Tides of Resilience (2022), and the Pacific Rim International Print Exhibition (2008). Her work is held in permanent collections such as the Art Bank of the National Museum of Contemporary Art (Korea) and The Museum of Texas Tech University . Scientific Awards & Recognitions Denbo Fellowship at Pyramid Atlantic Art Center Wolhee Choe Memorial Award (2014) Seacourt Print Workshop Artist-in-Residence (2012) Puffin Foundation Artist Grant (2010) Springfield Art Museum Purchase Award (2009)

Bappaditya Mandalمشاهده پروفایل

مدرس ارشد

• Computer Vision
• Machine Learning
• Deep Learning
• +۷ مورد دیگر

Bappaditya Mandal is a Senior Lecturer in Computer Science at Keele University's School of Computer Science and Mathematics, Faculty of Natural Sciences. He holds positions as an Academic Conduct Officer and actively contributes to both teaching and research. His academic journey includes a B.Tech in Electrical Engineering from IIT Roorkee, a Ph.D. in Electrical and Electronic Engineering from Nanyang Technological University, Singapore, and an MA in Higher Education Practice from Keele University. Dr. Mandal's research spans computer vision and machine learning with specific applications in biomedical image analysis, civil infrastructure inspection, human behavior analysis, and marine life detection. His work focuses on attention mechanisms, deep learning architectures, and subspace modeling, with recent publications demonstrating applications in medical diagnostics, structural engineering, and traffic prediction systems. His research demonstrates a consistent trajectory from foundational computer vision work to increasingly applied, interdisciplinary projects addressing real-world problems. His scholarly contributions include numerous publications in top-tier journals and conferences, with recent work focusing on attention-based deep learning models for concrete defect recognition, macular disease classification, and traffic flow prediction. The publications reveal a strong emphasis on developing interpretable attention mechanisms that can be applied across diverse domains while maintaining high accuracy. Award for Leading, Educating and Nurturing Talent (TALENT) from A*STAR Singapore Best Student Paper Award 2016: Honourable Mention Award from IAPR in Singapore Long service award from the Institute in 2014 Best Biometric Student Paper Award at the 19th International Conference on Pattern Recognition, Florida, USA, 2008 Research Scholarship Award from Nanyang Technological University (2004-2008) Dr. Mandal supervises PhD students including Asad Inamdar, Jenni Watson, and Kody Mistry, with research spanning medical applications, structural analysis, and AI systems. His work demonstrates strong industry connections, having collaborated with SMEs in both Singapore and the UK to develop practical solutions for research and development challenges. He is actively involved in grant-funded research, particularly in healthcare technology and infrastructure monitoring applications, and maintains affiliations with professional organizations including IEEE (Senior Member), British Computer Society (Fellow), and Higher Education Academy (Fellow).