جست‌وجوی استاد و پژوهشگر

Jing Qinمشاهده پروفایل

دانشیار

• Mathematical Optimization
• Variational Image Processing
• Compressive Sensing
• +۳ مورد دیگر

Jing Qin is an Associate Professor in the Department of Mathematics at the University of Kentucky, within the College of Arts & Sciences. His research focuses on Mathematical Optimization, Variational Image Processing, Compressive Sensing, and computational analysis of imaging data. His work addresses challenges in signal recovery, tensor decomposition, hyperspectral imaging, and machine learning applications. Recent publications emphasize advancements in tensor recovery algorithms, hyperspectral band selection, and graph-based signal processing. These contributions highlight innovations in iterative methods, regularization techniques, and deep learning models for structural analysis and robotic systems. Qin’s research bridges theoretical optimization frameworks with practical applications in remote sensing, medical imaging, and computer vision. His articles reflect a strong focus on interdisciplinary solutions, combining mathematical rigor with computational efficiency. Despite no explicitly listed awards or grants, his prolific publication record underscores sustained scholarly impact. Further details are available via his faculty webpage: http://ms.uky.edu/~jqi229/ .

Mobashar Rehmanمشاهده پروفایل

مدرس ارشد

• Knowledge Management
• Digital Transformation
• Supply Chain Management
• +۳ مورد دیگر

Dr. Mobashar Rehman is a Senior Lecturer in Digital Business and Analytics at the School of Business, Faculty of Business and Law, Middlesex University, London. He previously held positions as Assistant Professor at Universiti Brunei Darussalam (2022) and Universiti Tunku Abdul Rahman, Malaysia (2012–2022). He earned a PhD in Knowledge Management from Universiti Teknologi PETRONAS, an MBA, and a BS in Computer Science. His research focuses on Knowledge Management, Digital Transformation, Supply Chain Management, and Cybersecurity, with over 63 publications and £182,845 in research grants. He teaches courses like Enterprise Resource Planning and Global Supply Chain Management. Research Interests: Knowledge Sharing in Software Engineering Digital Transformation Strategies Supply Chain Agility Cyber Hygiene and Information Security Sustainable Tourism Marketing STEM Education Gender Disparities Grants & Collaborations: Involved in grants exceeding £182k and international collaborations in joint research and publications. Supervises PhD student Rory Mc Connon. Recent Trends in Articles: Focuses on organizational support in knowledge sharing, social media in tourism, IT adoption in supply chains, and cybersecurity behaviors. Explores adaptive machine learning frameworks for IoT and image classification, emphasizing practical applications in dynamic environments.

Terrence Triccoمشاهده پروفایل

استادیار

• Synthetic Data Generation
• Smoothed Particle Hydrodynamics (SPH)
• High-Performance Computing
• +۶ مورد دیگر

Terrence Tricco is an Assistant Professor in the Department of Computer Science at Memorial University of Newfoundland, cross-appointed with the Department of Physics and Physical Oceanography. He chairs the Master's of Data Science program and leads the Simulation, Modeling and Synthetic Data Lab. His research focuses on synthetic data generation using deep learning, astrophysical smoothed particle hydrodynamics (SPH), and high-performance computing. Tricco is a development lead for the Phantom SPH code and creator of the Sarracen Python analysis package. He is Principal Investigator of the Centre for Analytics, Informatics and Research (CAIR), managing a high-performance computing cluster. Collaborations include Verafin (financial synthetic data) and VBHC-NL (healthcare analytics). Key research areas include multi-physics SPH algorithms, parallel computing optimization, and numerical analysis of SPH convergence. Tricco's work bridges computational science with applications in astrophysics, healthcare, and finance. Notable software contributions include Phantom (astrophysical SPH simulations), Sarracen (SPH visualization), and Framalytics (FRAM modeling integration). His lab emphasizes synthetic data generation for sensitive domains like healthcare and finance. Recent work explores generative AI for data synthesis and improving SPH method scalability on modern architectures.

Rohith Reddyمشاهده پروفایل

دانشیار

• Biomedical Imaging
• Medical Devices
• Photonics
• +۳ مورد دیگر

Dr. Rohith Reddy is Associate Professor and CPRIT Scholar in Cancer Research in Electrical and Computer Engineering at the University of Houston. He develops optical imaging technologies for biomedical diagnostics, with emphasis on cancer detection and point-of-care devices. Education includes: PhD in Bioengineering, University of Illinois at Urbana-Champaign Postdoctoral training at Harvard Medical School B.Tech/M.Tech in Electrical Engineering, IIT Madras Research focuses on mid-infrared spectroscopic imaging, optical coherence tomography, and nanophotonic platforms for detecting cancer biomarkers and infectious pathogens. Innovations include high-definition FT-IR imaging, micro-retroreflector assays, and tethered capsule endomicroscopy. Recent publications advance photothermal mid-infrared imaging for gynecologic cancer subtyping, dual-comb spectroscopy techniques, and computational methods for tissue analysis. Work bridges optical engineering with clinical applications. Awards include: FACSS Innovation Awards (2012, 2016) William F. Meggers Award Massachusetts General Hospital Research Award Patents cover optical imaging devices, endoscopic systems, and 3D reconstruction methods. Research funding includes CPRIT support for cancer diagnostic technology development.

Christophe Silienمشاهده پروفایل

استاد

• Material Science
• Nanotechnology
• Optics
• +۵ مورد دیگر

Christophe Silien is a Professor at the University of Limerick (UL), holding positions in the Bernal Institute and the Department of Physics. His research focuses on material science, nanotechnology, and biomedical engineering, with a strong emphasis on piezoelectric materials, nanorod assemblies, and bioelectrets. He leads interdisciplinary projects involving plasmonics, optoelectronics, and biomaterials. Key research areas include the development of light-emitting diodes, nanoscale material characterization via advanced microscopy techniques, and applications in biomedical devices. Silien collaborates widely, with contributions to topics like quantum dot biosensors, thermal imaging of defects, and plasmonic nanoparticle systems. His work intersects physics, engineering, and biology, addressing challenges in energy, healthcare, and advanced manufacturing. Notable projects include the study of piezoelectric effects in proteins and intervertebral discs, electrophoretic deposition of nanorod layers, and the design of hollow needle insertion models for medical applications. Silien’s research has produced over 118 publications, emphasizing experimental and computational approaches to material innovation.

• Artificial Intelligence
• Pattern Recognition
• Biometrics
• +۵ مورد دیگر

Venu Govindaraju is a SUNY Distinguished Professor and Vice President for Research and Economic Development at the University at Buffalo. He holds a joint appointment in the Department of Computer Science and Engineering within the School of Engineering and Applied Sciences. His research focuses on artificial intelligence, pattern recognition, and biometrics, with notable contributions to handwriting recognition, cybersecurity, and educational technology. Govindaraju leads the National AI Institute for Exceptional Education (funded by a $20M NSF grant), developing AI tools to screen children for dyslexia and dysgraphia. He also founded the Center for Unified Biometrics and Sensors (CUBS) and co-leads the Institute for Artificial Intelligence and Data Science (IAD) at UB. His work has revolutionized postal automation, digital libraries, and cybersecurity through CAPTCHA innovations. He has advised 47 doctoral students and holds key leadership roles in SUNY's AI initiatives and Empire AI, a $400M state consortium. Research Interests: AI for social good, handwriting analysis, biometric systems, educational AI applications, and cross-modal data fusion. His work bridges technical innovation with societal impact, addressing challenges in healthcare, education, and security. Awards: IEEE Technical Achievement Award (2010), ACM Fellow (2009), IEEE Fellow (2006), National Academy of Inventors (2015), SUNY's Person of the Year (2024). Labs/Initiatives: CUBS, IAD, National AI Institute for Exceptional Education, Empire AI. Grants: $20M NSF grant (2023), USPS-funded handwriting recognition projects, Lockheed Martin licensing agreements.

Frank Witmerمشاهده پروفایل

دانشیار

• Human-Environment Geography
• Remote Sensing
• Spatial Statistics
• +۵ مورد دیگر

Frank Witmer is an Associate Professor in the Department of Computer Science & Engineering at the University of Alaska Anchorage. His work integrates human-environment geography, remote sensing, and spatial statistics to analyze violent conflict and environmental changes. Education : Ph.D. (Geography, University of Colorado, Boulder, 2007), M.A. (Geography, University of Colorado, Boulder, 2003), B.S. (Mathematics & Computer Science, Tufts University, 1997). His research focuses on quantifying how human activities like war, population growth, and urbanization affect environmental conditions such as land use, deforestation, and climate. He employs advanced methods from spatial statistics, GIScience, and remote sensing to analyze sociodemographic and environmental change data, including violence and crime patterns. Additionally, he uses immersive visualization in the Planetarium and Visualization Theater (PVT) to study environmental changes in Alaska fisheries and coastal erosion. Recent projects examine climate variability's influence on conflict in sub-Saharan Africa and the spatial diffusion of violence in regions like the North Caucasus and Afghanistan-Pakistan. His teaching spans computer science, geomatics, statistics, and mathematical courses, including Introduction to GIScience, Data Structures, and Image Analysis using Google Earth Engine.

• Biomedical Engineering
• Medical Imaging
• Signal and Image Processing
• +۶ مورد دیگر

Alireza Akhbardeh is a Professor at The University of Texas Health Science Center at Houston, affiliated with the McGovern Medical School's Department of Diagnostic and Interventional Imaging. His research bridges biomedical engineering and medical applications, focusing on signal/image processing, AI, biosensors, and medical device development. Education : PhD in Medical Physics from Tampere University of Technology (2007). Research Interests : Integrates engineering systems into medical solutions, including federated learning in medical imaging, wearable biosensors for chronic diseases, and AI-driven diagnostics. Recent work spans pain management sensors, lung ultrasound quantification for COVID-19, and food safety via fluorescence imaging. Publications : Over 30 peer-reviewed articles (2006–2025), emphasizing medical imaging automation, wearable technologies, and AI applications in healthcare. Notable projects include FootAssure for diabetic wound monitoring and a handheld fluorescence disinfection system.

Eman Ghoneimمشاهده پروفایل

دانشیار

• Remote Sensing
• Geographic Information Systems (GIS)
• Hydrology
• +۵ مورد دیگر

Dr. Eman Ghoneim is an Associate Professor in the Department of Earth and Ocean Sciences at the University of North Carolina Wilmington (UNCW), where she also directs the Space and Drone Remote Sensing Lab (SDRS). She holds a Ph.D. in Physical Geography from the University of Southampton (2002) and has held academic roles including Research Assistant Professor at Boston University (2003–2010). Her research focuses on remote sensing applications in hydrology, groundwater exploration, climate change impacts, and archaeological geography, with notable discoveries like the Ahramat Nile Branch and ancient mega-lakes in Sudan and Libya. She has published over 77 peer-reviewed articles and delivered workshops across Egypt, UAE, Lebanon, and Sudan. Education: Ph.D. (2002) in Physical Geography, University of Southampton MPhil (1999) in Physical Geography, University of Southampton M.Sc. (1996) in Geomorphology, Tanta University B.A. (1990) in Geography (with honors), Tanta University Research interests: Remote sensing integration for groundwater mapping in arid regions GIS-based flood hazard modeling Satellite analysis of paleohydrological systems Geothermal energy assessment using multispectral data Climate change adaptation strategies in coastal zones Awards: She has received prestigious teaching awards including the UNC Board of Governors Excellence in Teaching Award (2021) and the Egyptian Women Can Empowerment Award (2017). Her 2007 paper on Sahara craters won the Best Letter Award from the Remote Sensing Society. Grants & Leadership: Led NSF-funded projects like 'In Search of the Ancient Nile' (2021–2024) and 'Geothermal Study in Gulf of Suez' (2018–2020). Collaborates internationally with UNDP, UNESCO, and the Libyan National Oil Corporation. Labs: Director of UNCW's Space and Drone Remote Sensing Lab (SDRS), focusing on drone-based thermal imaging and satellite geospatial analysis.

• Space Engineering
• Earth Observation
• Satellite Communications
• +۳ مورد دیگر

Roger Birkeland is a Researcher at the Department of Electronic Systems , Norwegian University of Science and Technology (NTNU), within the Faculty of Information Technology and Electrical Engineering . His work focuses on the design and development of small satellites for Earth observation and communication, with an emphasis on maritime and Arctic applications. Co-founder and former leader of the NTNU Student Satellite Project Key contributor to the establishment of the NTNU Small Satellite Lab Research Interests include: Small satellite systems (CubeSats) Hyperspectral imaging payloads Software-defined radios (SDRs) for space communication Arctic sensor networks Integration of unmanned surface vehicles (USVs) with satellite systems Additive manufacturing for space components Recent publications highlight advancements in: Agile satellite maneuvering for improved imaging On-board processing for hyperspectral data Interference measurement in Arctic radio bands Low-cost prototyping materials via 3D printing

Sophia Sotiropoulouمشاهده پروفایل

پژوهشگر

• Heritage Science
• Colour Science
• Technical Imaging
• +۵ مورد دیگر

Sophia Sotiropoulou is a Senior Research Associate at FORTH-IESL and an Assistant Module Coordinator at the Hellenic Open University's School of Applied Arts. She holds dual academic credentials: a Physics degree from the University of Athens (1991) and postgraduate qualifications in Archaeology and Heritage Science from Bordeaux (1993). Her career spans over 25 years in heritage science, focusing on analytical strategies for archaeological materials, imaging techniques, and pigment characterization. She has contributed to major projects like the Athenian Acropolis polychromy study and IPERION HS innovation initiatives. Education PhD in Chemical Engineering (NTUA, 2000) M.Sc. in Physical Methods in Archaeology (Bordeaux I, 1993) Art History & Archaeology (Bordeaux III, 1993) Physics (University of Athens, 1991) Research Interests Dr. Sotiropoulou specializes in heritage science, with emphasis on: - Ancient pigments and polychromy (e.g., conchylian purple) - Non-invasive analytical methods (Raman, FTIR, XRF) - Conservation of wall paintings and icons - Light interaction with heritage materials - Sustainable museum lighting solutions Publications Her 60+ peer-reviewed articles span technical studies on pigment analysis, degradation mechanisms, and innovative conservation approaches. Notable works include breakthroughs in identifying molluscan purple pigments in Aegean wall paintings and advancing visible-induced luminescence imaging. Awards & Recognition Active contributor to EU-funded initiatives (IPERION HS, E-RIHS, PARTHENOS) focusing on heritage infrastructure and innovation. Her work bridges cutting-edge science with cultural heritage preservation. Labs & Collaborations Leads research at FORTH-IESL's Archaeometry Lab and collaborates with global institutions like the Acropolis Restoration Service and the Cyprus Institute. She also co-develops semantic web tools for Byzantine iconography analysis.

Samartzis Petrosمشاهده پروفایل

پژوهشگر

• Laser Chemistry
• Chemical Dynamics
• Spectroscopy
• +۳ مورد دیگر

Petros Samartzis is a Principal Researcher at IESL-FORTH, Greece. He earned his BSc (1996) and PhD (2003) in Chemistry from the University of Crete. Postdoctoral research included stints at UC Santa Barbara (2003-2007) and Caltech (2007-2009). His work focuses on laser-based chemical dynamics, spectroscopic detection, and instrument development. Key interests include molecular photodissociation mechanisms, spin-polarized atom production, and environmental/food analysis via optical methods. Education: PhD in Physical Chemistry, University of Crete, 2003 (advisor: Theo Kitsopoulos) BSc in Chemistry, University of Crete, 1996 Research Interests: His research integrates laser spectroscopy and advanced imaging techniques to study molecular dynamics. Specific areas include: Excited-state molecular dynamics and structural monitoring Spectroscopic detection of target molecules in complex mixtures Development of novel optical instruments (e.g., remote sensing devices) Photolytic production of spin-polarized atoms Ultrafast spectroscopy and time-resolved imaging Publications Trends: Recent work emphasizes applications in environmental monitoring (atmospheric greenhouse gases), food authenticity (olive oil/milk analysis), and fundamental studies of photodissociation pathways in small molecules. Techniques like velocity map imaging and photoelectron circular dichroism dominate his experimental approach. Instrumentation: Developed a prototype optical system for fuel adulteration detection and an autonomous laser device for atmospheric gas sensing. Active in advancing slice imaging and REMPI techniques.

Zacharopoulos Athanasiosمشاهده پروفایل

پژوهشگر

• Biomedical Imaging
• 3D Image Reconstruction
• Inverse Problems
• +۵ مورد دیگر

Dr. Zacharopoulos Athanasios is a Researcher at the Foundation for Research and Technology Hellas (FORTH), where he has been a Research Associate since 2009. He holds a PhD in Computer Science from University College London (UCL), focusing on three-dimensional shape-based reconstructions in medical imaging. His research spans biomedical imaging, 3D reconstruction algorithms, inverse problems, and optical tomography. He has held positions at institutions including UCL’s Centre for Medical Image Computing, Harvard Medical School, and the University of Kuopio. Education: BSc in Mathematics (1999, Aristotle University of Thessaloniki), MSc in Vision Imaging and Virtual Environments, and a PhD from UCL’s Computer Science Department. Research interests include 3D image reconstruction, optical projection tomography, and fluorescence molecular tomography. His work addresses challenges in imaging through scattering layers and improving light propagation models for biomedical applications. Key contributions include phase-retrieved optical projection tomography and advancements in light sheet microscopy for in vivo imaging. Collaborations span academic and clinical institutions globally.

Steven E. Franklinمشاهده پروفایل

استاد

• Environmental Remote Sensing
• Wildlife Conservation
• Terrain Analysis
• +۳ مورد دیگر

Dr. Steven E. Franklin served as President & Vice-Chancellor of Trent University from 2009 to 2014, leading strategic initiatives to enhance academic excellence, financial stability, and community engagement. Post-presidency, he returned to research and teaching in environmental remote sensing within Trent’s Geography and Environmental Resource departments. His academic career includes roles as Vice President of Research at the University of Saskatchewan and faculty positions at Waterloo, Calgary, and Memorial University. Research focuses on remote sensing applications for biodiversity, wildlife habitat analysis, and environmental management. Notable contributions include over 120 refereed articles and four books, including Remote Sensing for Biodiversity and Wildlife Management . Awards include the Canadian Remote Sensing Society Gold Medal (2007) and a Sustainability Award from the Canadian Institute of Mining. Key leadership achievements include launching Trent’s first Integrated Plan, expanding programs in Sustainable Agriculture and Journalism, and overseeing major infrastructure projects like the Life and Health Sciences Building and Bagnani Hall. He also championed interdisciplinary education and undergraduate research opportunities through initiatives like the Enhancing Undergraduate Learners’ Experience (EULE) program.

Agnes Cameronمشاهده پروفایل

مدرس

• Electronics Engineering
• Software Engineering
• Peer-to-Peer Networks
• +۳ مورد دیگر

Agnes Cameron is a Lecturer and Specialist Technician at the UAL Creative Computing Institute (UAL), with a dual role as part-time staff and academic. She holds a background in electronics and software engineering, combining technical expertise with artistic and pedagogical pursuits. A 2024 Bellingcat Tech Fellow , she specializes in multispectral satellite imagery , synthesizer design , and research software sustainability . Her affiliations include the Somerset House Studios as a resident artist, co-founding Foreign Objects , and directing Inflationary Assets (a community interest company). She has taught at Parsons School of Design and Hunter College , and is a Carpentries instructor focusing on peer-to-peer skill-sharing. Recent projects include the More Roar synthesiser (collaborating with Dirty Electronics Ensemble) and investigations into bauxite mining’s ecological impacts using remote sensing. Her work spans critical technology analysis , geospatial ethics , and the intersection of art with infrastructure. Key achievements : 2024 Bellingcat Technical Writing Fellowship Creative code specialist with MIT Museum Studio and Media Lab Co-organizer of Naive Yearly interdisciplinary events