جست‌وجوی استاد و پژوهشگر

Mazin Saberمشاهده پروفایل

پژوهشگر

• Remote Sensing
• Agricultural Water Management
• Evapotranspiration Modeling
• +۳ مورد دیگر

Mazin Saber holds the position of Postdoctoral Research Associate at the Sanchez Lab, Yuma Agricultural Center, affiliated with the University of Arizona. His work focuses on applying remote sensing and satellite technologies to improve agricultural water management, particularly in arid environments like Yuma, Arizona. He specializes in evapotranspiration modeling, irrigation scheduling, and crop water stress indices using multisource satellite data (Sentinel, Planet, ECOSTRESS) and ground-based measurements like eddy covariance systems. Research interests include precision agriculture, water resource optimization in desert farming, and development of decision support tools for crop water management. His work integrates remote sensing with hydrological modeling to address challenges in irrigated agriculture, including real-time irrigation detection, energy balance models for crop monitoring, and validation of FAO-56 methodologies in arid zones. Recent studies highlight advancements in crop water stress indices, fusion of radar and optical satellite data, and application of machine learning techniques for precision irrigation. His research has been applied across multiple crops including lettuce, durum wheat, and winter vegetables, with a focus on the Lower Colorado River Basin and Yuma agricultural regions. While no formal awards are listed, his contributions have advanced remote sensing applications in arid agriculture. Currently involved in the Sanchez Lab's projects at the Yuma Agricultural Center, focusing on automation of water management practices and development of scalable solutions for desert farming systems.

• Intelligent Transportation Systems
• Autonomous Vehicles
• Sensor Calibration
• +۷ مورد دیگر

Faizan Mir is a Researcher II-Computational Science at the National Renewable Energy Laboratory (NREL) , affiliated with the Center for Integrated Mobility Sciences and the Transportation and Mobility Research Topic . His work focuses on computational science applications in transportation systems, particularly intelligent transportation and autonomous vehicles. Research Interests : Intelligent Transportation Systems (ITS) Sensor Calibration and Fusion GNSS Integration for Mobility Spatiotemporal Data Analysis Digital Twin Technology Transportation Safety Engineering Article Trends : His publications emphasize sensor fusion techniques (Lidar, Radar, Camera) for infrastructure-based perception in autonomous vehicles, GNSS-assisted calibration, and adaptive traffic management systems. The work spans safety-critical LED signaling, multisensor data integration, and cooperative perception frameworks.

• Animal Welfare
• Poultry Science
• Broiler Chicken Production
• +۵ مورد دیگر

Ingrid de Jong is a Researcher at Wageningen University & Research (WUR) within the Wageningen Institute for Animal Sciences (WIAS), holding the Dutch academic title dr.ir. (doctor ingenieur). Her work spans animal health and welfare research with primary focus on broiler chickens and pigs, actively bridging scientific findings with commercial farming applications through 408 research outputs and 49 projects including leadership roles in LVVN-funded initiatives. Her research interests include: Animal Welfare Assessment Protocols Broiler-Pig Welfare Resilience Systems Gut Microbiome-Health Interactions Behavioral Monitoring via Sensor Technologies Environmental Enrichment Optimization Light Spectrum/Intensity Effects Sustainable Feed Interventions Stocking Density Impacts Recent publications (2024-2025) demonstrate consistent focus on broiler welfare assessment refinement, particularly intestinal integrity detection and lighting systems, while expanding into pig resilience through sensor-driven early warning models. Her work emphasizes practical implementation in EU commercial farms with strong interdisciplinary connections between veterinary science, microbiome research, and precision livestock technology. No scientific awards were mentioned in the provided materials. She serves as co-promotor for PhD candidate Wu, Z. on early feeding interventions and leads multiple Dutch-funded projects including Veerkrachtige dierhouderijsystemen (resilient livestock systems) and FUNCTILIGHT. Her grant portfolio centers on welfare-economic-environmental tradeoffs in livestock production, with active collaboration across academia, industry, and policy bodies like the European Food Safety Authority. Dr. de Jong co-founded the BroilerNet innovation network connecting practice and science in broiler production and contributed to the Greenwell project assessing welfare, environmental impact, and economy of broiler systems. Her work integrates optical flow analysis, RFID monitoring, and microbiome sequencing through WIAS facilities, with ongoing projects targeting sensor fusion for welfare prediction and One Health synergies.

Kundan Kumarمشاهده پروفایل

پژوهشگر

• Signal Processing
• Control Systems
• Filter Design
• +۳ مورد دیگر

Kundan Kumar is a Postdoctoral Researcher at Aalto University , affiliated with the Department of Electrical Engineering and Automation. His research focuses on advanced signal processing, nonlinear state estimation, and control systems. Recent work emphasizes Kalman filtering , Bayesian inference , and underwater tracking , with publications in venues like IEEE International Conference on Multisensor Fusion and Integration. He develops methods addressing unknown measurement noise , false data injection attacks , and delayed measurements in complex systems. His publications highlight interdisciplinary applications in target tracking , distributed filtering , and polynomial chaos expansions for improved estimation accuracy.

• Remote Sensing
• Machine Learning
• Geospatial Data Analysis
• +۴ مورد دیگر

Dr. Emma Izquierdo-Verdiguier is a Researcher at the Institute of Geomatics within the University of Natural Resources and Life Sciences, Vienna (BOKU) . She specializes in machine learning algorithms for remote sensing data analysis , with particular focus on land surface phenology and cloud computing environments like Google Earth Engine. Her research spans two decades, including postdoctoral work at the University of Valencia (2017-2018) and University of Twente (2014-2017). She has developed Matlab toolboxes for nonlinear feature extraction and transitioned to JavaScript/Python-based cloud computing solutions for high-resolution image classification. Key methodologies involve kernel methods , multispectral image analysis , and data cube clustering . Recent publications focus on climate change impact assessment (2025), carbon flux modeling (2023), and soil organic carbon monitoring (2025), demonstrating her expertise in Earth Observation and machine learning integration . Her work frequently employs Google Earth Engine for continental-scale analyses. Scientific Awards: 2018 Travel Award sponsored by Remote Sensing 2017 Best Youth Oral Paper Award (X. Wu), ISPRS 2012 2nd Best Paper Award, IEEE IGARSS Student Competition

Mariana Rodriguesمشاهده پروفایل

پژوهشگر

• Healthcare Technology
• Environmental Monitoring
• Sensor Networks
• +۵ مورد دیگر

Mariana Rodrigues is a researcher affiliated with ISCTE - University Institute of Lisbon (ISCTE-IUL), specifically associated with the ISCTE Business School. Her work spans interdisciplinary domains including healthcare technology, sensor networks, and environmental monitoring. Specializes in IoT-based systems for health and environmental assessment Active in wearable sensing and physiological monitoring Research intersects with precision agriculture and virtual reality applications Her publications demonstrate expertise in integrating biomedical engineering with real-world applications, particularly in autonomic nervous system assessment and ambient assisted living technologies. Key trends include wireless sensor networks, human activity recognition, and therapeutic interventions using ultrasound and photobiomodulation. No scientific awards or students listed in available records.

Isaac O. Afaraمشاهده پروفایل

دانشیار

• Applied spectroscopy
• Computational biophotonics
• Machine learning in biospectroscopy
• +۲ مورد دیگر

Isaac O. Afara is an Associate Professor at the Department of Technical Physics , Faculty of Science, Forestry and Technology , University of Eastern Finland . He leads the Biomedical Spectroscopy Lab (BSL) and the Biophysics of Bone and Cartilage (BBC) research group, focusing on translational spectroscopy and computational biophotonics for tissue diagnostics. Multi-disciplinary team of physicists and engineers Established 2018 (BSL), 1998 (BBC) His research bridges applied spectroscopy , machine learning , and biomechanics to develop optical methods for non-destructive assessment of biological tissues. Key areas include: Visible/NIR/Raman spectroscopy for cartilage/meniscus diagnostics Computational modeling of tissue optical properties Development of AI-driven preprocessing algorithms Characterization of viscoelastic properties in connective tissues Recent work demonstrates machine learning-enhanced spectroscopy for real-time cartilage assessment during arthroscopy, with applications in osteoarthritis detection, tissue engineering, and joint biomechanics. His 15 most recent articles (2025-2017) focus on: Cartilage/meniscus biomechanical properties Spectral differentiation of tissue pathologies Photon path length modeling Multi-sensor data fusion techniques Optical diagnostics for fibrosis and osteoarthritis Development of open-source preprocessing tools He collaborates with international institutions on computational biophotonics and has contributed to open-source Python modules for spectroscopic data analysis.

Angelos Amanatiadisمشاهده پروفایل

استادیار

• Robotics
• Autonomous Vehicles
• Computer Vision
• +۳ مورد دیگر

Angelos Amanatiadis is Assistant Professor of Robotics at the Department of Production and Management Engineering, Democritus University of Thrace (DUTH), Greece. He received his Diploma and Ph.D. (Hons.) from the Department of Electrical and Computer Engineering at DUTH in 2004 and 2009, respectively. His research focuses on autonomous robotic systems , computer vision , machine learning , and real-time embedded systems . His publications (35+ journal papers, 50+ conference papers) cover topics like autonomous vehicle localization, 3D object detection, educational robotics, and image processing. He has received the Stavros Niarchos Award for Promising Young Scientists and IKY Postdoc Scholarship . He contributes to the field as Associate Editor of the International Journal of Advanced Robotic Systems and HardwareX Journal, and as a program committee member for 10+ international conferences. His recent work includes leading the development of Greece’s first Hellenic Autonomous Vehicle (HAV) using deep learning and AI. He teaches courses on Control Systems, Big Data Analytics, Robotics, and Computational Intelligence. His research has been featured in media outlets like BBC, Bloomberg, IEEE Spectrum, and Popular Science.

Xinghuo Yuمشاهده پروفایل

استاد

• Control Systems
• Complex Networks
• Cyber-Physical Systems
• +۳ مورد دیگر

Xinghuo Yu is a Distinguished Professor and Vice-Chancellor's Professorial Fellow in the School of Engineering at RMIT University (Australia). He holds leadership roles, including Associate Deputy Vice-Chancellor and Chair of the RMIT Professorial Academy. His academic career spans over three decades, with prior positions at the University of Adelaide and Central Queensland University. Research & Awards: Yu specializes in Control Systems, Complex Networks, Cyber-Physical Systems, Smart Grids, and Artificial Intelligence. He has been recognized with prestigious awards, including the Australasian Artificial Intelligence Distinguished Research Contribution Award (2018) , M A Sargent Medal (2018) , and IEEE Industrial Electronics Society Achievement Award (2013) . He is a Fellow of the Australian Academy of Science, IEEE, and Engineers Australia. Leadership & Engagement: Yu has held executive roles such as President of IEEE Industrial Electronics Society (2018–2019) and Non-Executive Director of Oceania Cyber Security Centre. His research bridges theory and application, with over 1,000 publications and recognition as a Clarivate Highly Cited Researcher in Engineering (2015–2024). Labs & Collaborations: Leads the Intelligent Informatics and Control Research Group , focusing on smart grid optimization, cyber-physical systems, and AI-driven solutions for energy and security challenges. His work addresses real-world issues like renewable energy integration, electric vehicle infrastructure, and resilient power systems.

Álvaro Hernández Alonsoمشاهده پروفایل

استاد

• Mobile Robotics
• Multisensor Integration
• Ultrasonic Sensory Systems
• +۵ مورد دیگر

Álvaro Hernández Alonso is a Full Professor in the Department of Electronics at the University of Alcalá (UAH). He previously served as Secretary of the Electronics Department and coordinated the GEINTRA research group (2021–2023), which includes 24 researchers and over 25 active projects. His research focuses on mobile robotics, multisensor integration, ultrasonic systems, NILM techniques, FPGA implementations, and electronic technologies for transport. Education: PhD in Electronics and Systems (University Blaise Pascal & UAH) Electronics Engineering Degree (UAH) Research interests include positioning systems (infrared, ultrasonic, visible light), energy monitoring for assisted living, and embedded hardware architectures. He has secured €1.9M in funding (public and private) over the past decade, leading 4 projects as Principal Investigator. His work has produced 41 indexed journal papers (25 Q1), 6 patents, and 65 conference contributions. Awards: Best Thesis Awards at UAH for two doctoral students under his supervision. He has advised 30+ student theses and 9 doctoral dissertations, many in international co-supervision programs. Funding highlights: 19 public projects (€900k total) and 10 private projects (€1.1M total). His research has achieved 4 consecutive positive evaluations (1997–2020) from Spain's National Research Evaluation Commission.

• Spectral Imaging
• Machine Learning
• Environmental Science
• +۳ مورد دیگر

Junli Xu is an Associate Professor at the School of Biosystems and Food Engineering at University College Dublin (UCD), under the UCD Ad Astra Fellowship. She holds a Bachelor's degree from Zhejiang University (2014) and a PhD in Food Engineering from UCD (2018). Her research focuses on spectral imaging combined with advanced data analysis (machine learning/deep learning) for solving problems in environmental science, food safety, and biomedical engineering. Key projects include developing spectral imaging frameworks for detecting microplastics and assessing their health impacts. Her research interests span spectral imaging, machine learning applications, environmental monitoring, and toxicology. She has secured grants such as the ERC Starting Grant and SFI-IRC Pathway Programme. Xu leads the UCD Spectral Imaging Research Group and has supervised multiple PhD students. She has published extensively in journals like Science of the Total Environment and Environmental Pollution . Her work includes innovations like the BOX-YOLOv8 framework for hyperspectral core analysis and machine learning-driven methodologies for microplastic detection. She also contributes to professional activities, including editorial roles in Current Research in Food Science and peer review for journals like Food Control .

Junghyun Parkمشاهده پروفایل

پژوهشگر

• Seismology
• Geophysics
• Infrasound Monitoring
• +۴ مورد دیگر

Junghyun Park is a Researcher and Associate Director of Research in the Seismo-Acoustic Research Program at Southern Methodist University (SMU). She holds a Ph.D. from SMU (2013) and specializes in geophysical monitoring of manmade seismic and acoustic events, including nuclear explosions, mining blasts, and rocket launches. Her work integrates seismic and infrasound data to quantify source characteristics and improve detection methodologies. Research Interests: Signal detection and localization using seismic/infrasound arrays Source characterization of explosions and environmental events Data quality control for field instruments Atmospheric modeling to enhance infrasound predictions Multi-modal machine learning for seismoacoustic fusion Key Contributions: Developed tools for seismoacoustic array monitoring in South Korea, analyzed North Korean nuclear tests via infrasound inversion, and pioneered unsupervised machine learning for industrial seismic data analysis. Serves as Associate Editor for the Bulletin of the Seismological Society of America since 2021. Grants/Advising: No student advisees listed. Focuses on federal grants related to nuclear nonproliferation and environmental monitoring technologies. Labs/Teams: Leads SMU's seismo-acoustic research arrays and collaborates with international organizations on atmospheric and geophysical data networks.

• Machine Learning
• Signal Processing
• Computer Vision
• +۳ مورد دیگر

Zina-Sabrina Duma is a post-doctoral researcher at the Department of Computational Engineering , Lappeenranta University of Technology , affiliated with the School of Engineering Sciences . Her work bridges computational methods with applied engineering challenges. Research Focus : Multivariate statistical modeling for industrial and environmental applications Hyperspectral imaging analysis with kernel-based optimization Advanced data fusion techniques for microscopy and spectroscopy Development of portable sensing systems for contaminant detection Recent publications highlight her contributions to Kernel Flows for image retrieval, Varroa destructor detection in bee colonies, and multisensor integration for plant contamination analysis. Her work demonstrates cross-disciplinary impact in computer science, mechanical engineering, and agricultural technology.

• Augmented Reality
• Mixed Reality
• Sensor Networks
• +۳ مورد دیگر

Nicole Huber is a researcher at the Chair for Computer Aided Medical Procedures & Augmented Reality at Technische Universität München (TUM), affiliated with the Institute for Informatics I16. Her work focuses on augmented reality systems, sensor networks, and human-computer interaction. Broad research areas: Augmented Reality, Mixed Reality, Sensor Networks, Human-Computer Interaction Key projects: Gestyboard, SensorVis, OST Rift, Parasitic Tracking Research trends from her publications reveal expertise in temporal calibration , multisensor tracking , mobile AR , input device design , and ubiquitous tracking environments . She has contributed to 3D visualization, gesture recognition, and RFID-based location computing. Scientific award: Best short paper award at 11th Symposium on Virtual and Augmented Reality (SVR), Porto Alegre, Brazil, May 2009 Teaching includes courses like "Medical Augmented Reality" and "Computer Aided Medical Procedures" at TUM. She has advised numerous publications and projects in AR systems.

• Remote Sensing
• Environmental Monitoring
• Oil Spill Detection
• +۳ مورد دیگر

Cathleen Elaine Jones is a part-time Professor in Earth Observation at the Department of Physics and Technology, UiT The Arctic University of Norway. Research Focus: Remote sensing applications for oil spill detection, sea ice dynamics, and climate monitoring using Synthetic Aperture Radar (SAR) imagery. Collaborations: Worked with researchers like Camilla Brekke, Benjamin Holt, and Malin Johansson on oil spill characterization and polarimetric SAR techniques. Recent Work: Investigated natural oil seeps (2025), operational sea ice monitoring (2025), and developed novel SAR-based oil slick discrimination methods (2024-2025). Key Contributions: Authored studies on oil spill damping ratios (2023), SAR imaging geometry (2016), and multisensor comparisons (2016). Technological Expertise: Specializes in polarimetric SAR data analysis, environmental signal processing, and geospatial modeling for marine and polar regions.