جست‌وجوی استاد و پژوهشگر

Phitsamay Sychitkokhong Uyمشاهده پروفایل

دانشیار

• Southeast Asian American Education
• Immigrant and Refugee Student Achievement
• Family and Community Engagement
• +۲ مورد دیگر

Phitsamay Sychitkokhong Uy serves as Associate Professor in the School of Education within the College of Fine Arts, Humanities & Social Sciences at the University of Massachusetts Lowell. She concurrently holds roles as Graduate Coordinator for Ed.D Programs and Co-director of the Center for Asian American Studies (CAAS), demonstrating deep institutional integration across academic and cultural units. Her educational foundation includes a Doctor of Education (2011) from Harvard University Graduate School of Education focusing on Southeast Asian and immigrant student experiences, an Administration, Planning and Social Policy degree (2003) from Harvard, Elementary Curriculum and Instruction (1996), and Human Resource Management (1995) from Boston College. As a Lao American K-21 educator and community advocate, her work bridges academic theory with grassroots practice. Uy's research centers on Southeast Asian American educational experiences, particularly examining family and community engagement strategies for immigrant and refugee populations. Her scholarship challenges monolithic representations of Asian Americans through disaggregated data analysis, with significant contributions to understanding Southeast Asian American college readiness and identity formation. She has spearheaded initiatives like the Southeast Asian Digital Archive (SEADA) to preserve community narratives. Her 15 most recent publications reveal consistent focus on Southeast Asian American educational equity, with emerging emphasis on digital archiving (2025) and researcher safety in community-engaged work (2024). The trajectory shows evolution from K-12 studies (2009-2011) to comprehensive higher education frameworks (2015-2025), increasingly incorporating transnational perspectives and healing-centered methodologies. Academic Excellence Award (2019) - NECPA Diversity Scholar Network (2019) - University of Michigan Equity Award (2018) - ARISE MLK Jr. Distinguished Service Award (2018) James N. Snitzler Scholarship (2010) - Harvard As principal investigator for numerous grants including the National Endowment for Humanities-funded Southeast Asian Digital Archive (2017) and U.S. State Department's Developing Teacher Associations project (2019), Uy demonstrates sustained external funding success. Her mentorship extends through the Asian American Educator Mentorship Program (2019-2021), while her community engagement manifests through initiatives like SEADA which bridges academic research with public history preservation. Uy co-directs the Center for Asian American Studies and leads the Southeast Asian Digital Archive project, creating institutional infrastructure for Southeast Asian American scholarship. These initiatives foster collaborative research environments connecting university resources with community organizations across New England.

Theresa Noegelمشاهده پروفایل

پژوهشگر

• Radar Imaging Systems
• Radar Signal Processing
• Automotive Radar

Theresa Noegel is a Doctoral Candidate and Researcher at the Institute of Microwaves and Photonics (LHFT) within the Department of Electrical-Electronic-Communication Engineering at Friedrich-Alexander University Erlangen-Nuremberg (FAU). She has been with LHFT since March 2023, contributing to cutting-edge radar research for automotive applications. Her educational background includes: B.Sc. in Electrical Engineering and Information Technology (EEI) from 2016 to 2020 M.Sc. in Electrical Engineering and Information Technology (EEI) from 2020 to 2023 Theresa's research focuses on Radar Imaging Systems , Radar Signal Processing , and Automotive Radar , with emphasis on Synthetic Aperture Radar (SAR) techniques. Her work spans 3D imaging implementation, real-time processing algorithms, and joint communication-sensing integration using OFDM waveforms, addressing critical challenges in autonomous vehicle perception systems. Analysis of her 2022-2024 publications reveals a clear progression from foundational SAR image segmentation toward advanced 3D imaging and forward-looking accumulation methods, demonstrating increasing technical sophistication in automotive radar applications through both simulation and hardware implementation. As an active member of the Institute of Microwaves and Photonics research team, she collaborates on developing next-generation radar technologies for automotive safety systems, working closely with senior researchers including M. Hoffmann and M. Vossiek on real-world implementation challenges.

• Artificial Intelligence
• Robotics
• Human-Robot Interaction
• +۳ مورد دیگر

Dr. Moojan Ghafurian is an Assistant Professor in Systems Design Engineering at the University of Waterloo, cross-appointed to the Department of Electrical and Computer Engineering (ECE). His research focuses on human-robot interaction, artificial intelligence (AI), and assistive technologies, particularly in healthcare, transportation, and aging-related contexts. He explores topics such as socially interactive agents for mental health support, robotic learning through kinesthetic teaching, and smart infrastructure systems. His work bridges engineering and social sciences, addressing challenges like public speaking anxiety through robotic coaches and improving elderly care via ambient assisted living technologies. He has contributed to systematic reviews in AI for pavement performance prediction and social robots in cardiovascular medicine. His interdisciplinary approach involves collaboration across robotics, AI, and healthcare domains. Research trends in his articles emphasize AI-driven solutions for aging populations, human-robot collaboration in teaching scenarios, and autonomous systems in shared spaces. His studies often evaluate user perceptions and practical implementation of emerging technologies in real-world settings. No scientific awards are explicitly listed. His advising and grants are not detailed here, but his research aligns with grants focusing on robotics, healthcare tech, and smart infrastructure. He is involved in lab initiatives around assistive robotics and human-centric AI design.

• Biodiversity and Human Wellbeing
• Species Identification Accuracy
• Conservation Biology
• +۳ مورد دیگر

Dr. Gail Austen is the Leverhulme Space for Nature Doctoral Scholars Support Officer at the University of Kent, affiliated with the Durrell Institute of Conservation and Ecology (DICE). She holds a PhD in species identification accuracy and has conducted post-doctoral research on the RELATE project linking biodiversity to human wellbeing. Her work focuses on understanding how biodiversity components influence wellbeing and improving species identification methods through interdisciplinary approaches. Her current research includes a collaborative project with the Woodland Trust exploring woodland biodiversity's impact on human wellbeing across socioeconomic gradients. She has contributed to developing the BIO-WELL wellbeing scale and investigating sensory interactions with nature (e.g., colors, smells, sounds). Her research spans participatory data methodologies, public perception of biodiversity, and conservation communication challenges. Dr. Austen has published widely on biodiversity-wellbeing linkages, conservation policy, and species identification accuracy. Her work emphasizes integrating ecological and social dimensions to address conservation challenges. She actively participates in the Kent Reptile and Amphibian Group and contributes to biological recording efforts in the region.

• Virtual Reality (VR)
• Human-Computer Interaction (HCI)
• Accessibility in Technology
• +۳ مورد دیگر

John Quarles is a Professor at the University of Texas at San Antonio, specializing in Virtual Reality (VR) and Human-Computer Interaction. His research focuses on accessibility in immersive technologies, cybersickness mitigation, and inclusive design. He has contributed over 100 publications across top venues like IEEE VR, ISMAR, and IEEE Transactions on Visualization and Computer Graphics. His work addresses challenges faced by users with disabilities, such as balance impairments and mobility limitations, through innovative feedback systems and adaptive algorithms. Quarles has co-authored influential papers on cybersickness prediction, VR accessibility for persons with Multiple Sclerosis, and disability simulations to reduce societal bias. He has held leadership roles including Program Chair for IEEE VR 2023, demonstrating his influence in academic and industrial VR communities. His research spans interdisciplinary applications in healthcare, education, and rehabilitation, with notable collaborations on datasets like 'Mazed and Confused' and frameworks like SmoothRide. Key themes include multimodal feedback methods, user-centric design principles, and leveraging AI for personalized VR experiences.

Mathilde Maurelمشاهده پروفایل

پژوهشگر

• EU enlargement
• Migration
• Development economics
• +۱۲ مورد دیگر

Mathilde Maurel is a Senior Research Fellow at the Centre for Economics of the Sorbonne (CNRS-Université Paris 1 Panthéon Sorbonne) and a Senior Fellow at FERDI . Her research spans migration economics, EU enlargement, climate-development linkages, and institutional dynamics in transition economies. Specializes in EU policy impacts on candidate countries Focuses on climate-induced migration in Africa/Asia Explores cultural economics and media's role in political culture Recent publications examine demographic drivers of global migration , climate adaptation in Bangladesh/Tanzania , and soft budget constraints in Chinese environmental policy . Her work combines remote sensing data with economic modeling to assess development challenges. Collaborations include studies on internet's impact on African democracies and post-revolution labor market shifts in Egypt . Key methodological approaches employ gravity models and instrumental variables for policy analysis.

• Computer Vision
• Machine Learning
• Image Processing
• +۴ مورد دیگر

Adjunct Professor Shuai Wan is affiliated with the School of Engineering at RMIT University (City Campus, Australia). His research focuses on computer vision, machine learning, 3D point cloud compression, neural video coding, and remote sensing . Key contributions include lightweight deep learning frameworks for image/video compression, spatio-temporal context models for point clouds, and adaptive quantization techniques. Research Outputs Insights : Wan’s work spans 2024–2025 , emphasizing end-to-end deep learning solutions for challenges in Exemplar-based colorization with semantic attention Rendering-oriented 3D point cloud compression Slimmable video codecs with variable bitrate G-PCC standard enhancements for quantization and entropy coding Adversarial example detection in remote sensing Technical Domains : His articles intersect artificial intelligence, signal processing, and computer graphics , with applications in cloud gaming, SAR systems, and industrial data compression. Methods include transformers, attention networks, and 3D convolutional architectures .

Maricar Aguilosمشاهده پروفایل

استاد پژوهشی

• Carbon Cycling
• Ecohydrology
• Climate Change Mitigation
• +۵ مورد دیگر

Maricar Aguilos is an Assistant Research Professor at the Department of Forestry and Environmental Resources, College of Natural Resources, North Carolina State University. Her research focuses on ecosystem carbon and water cycling in forested ecosystems, including forested wetlands, pine plantations, and bioenergy crops. She employs eddy covariance systems, soil respiration chambers, and remote sensing tools to quantify fluxes and model ecosystem processes. She holds a PhD in Environmental Science from Hokkaido University, Japan, and previously conducted research at the French National Institute for Agricultural Research (INRA) on tropical rainforest dynamics in French Guiana. Education: PhD in Environmental Science, Hokkaido University (Japan) Research experience at INRA, France (tropical forest carbon studies) Research Interests: Carbon sequestration, ecohydrology, methane emissions from wetlands, climate change mitigation, bioenergy feedstock optimization, and remote sensing applications in ecosystem modeling. She explores how land-use changes, climate variability, and human activities impact forest ecosystem services. Grants: Leading a $159,640 USDA Forest Service-funded project (2021–2026) synthesizing threats to forest carbon/water cycling across the US Southeast. Uses FIA data, AmeriFlux observations, and geospatial modeling to identify drivers of ecosystem service degradation. Labs/Groups: Active in AmeriFlux networks, collaborates with global researchers on FLUXNET outreach. Affiliated with the Department of Forestry and Environmental Resources faculty group.

Daniel Pizarro Pérezمشاهده پروفایل

استاد

• Computer Vision
• Medical Imaging
• Smart Grids
• +۳ مورد دیگر

Dr. Daniel Pizarro Pérez is a Professor in the Department of Electronics at the University of Alcalá, Spain. He is a member of the GEINTRA research group, which focuses on Electronic Engineering applied to Intelligent Spaces and Transport. He holds a doctoral degree from the University of Alcalá, completing his thesis on 'Localización de robots móviles en espacios inteligentes utilizando cámaras externas y marcas naturales' (2008), supervised by Dr. Manuel Ramón Mazo Quintas and Dr. Enrique Santiso Gómez. His research interests span computer vision, medical imaging, smart grid technologies, acoustic signal processing, and control systems. Notable projects include augmented reality applications in laparoscopic surgery, non-intrusive load monitoring using smart meters, and advanced control methodologies for power electronics. His work bridges theoretical advancements with practical applications in healthcare, energy systems, and robotics. Recent publications highlight contributions to neural radiance fields for minimally-invasive surgery, distributed acoustic sensing in submarine environments, and deep learning-based activity recognition via energy consumption. His research frequently integrates interdisciplinary approaches, such as combining computer vision with medical robotics and leveraging machine learning for real-time control systems. Dr. Pizarro’s work has been supported by grants and collaborations within the GEINTRA group, with applications in intelligent spaces, robotic navigation, and sensor fusion. He has also contributed to educational initiatives like the GEMS Erasmus+ project, emphasizing sensory module development for robotics education.

Ivan Adriyanov Nikolovمشاهده پروفایل

استادیار

• Computer Graphics
• Computer Vision
• Augmented Reality
• +۶ مورد دیگر

Ivan Adriyanov Nikolov is an Assistant Professor at the Department of Architecture, Design and Media Technology within Aalborg University's Technical Faculty of IT and Design. He specializes in Computer Graphics, Computer Vision, and Augmented Reality, with a focus on 3D reconstruction techniques like Structure-from-Motion (SfM). His work bridges academic research and industrial applications, particularly in wind turbine blade inspection and educational technology. His educational background includes contributions to computer science education through innovative teaching methods. He has led projects like 'Drone Application for Pioneering Reporting in Wind Turbine Blade Inspection' (2017–2019) and 'Leading Edge Roughness - Wind Turbine Blades' (2015–2019), advancing drone-based inspection and 3D modeling for wind energy sectors. Research interests include synthetic data generation, environmental monitoring datasets (e.g., BrackishMOT, DigiWeather), and improving VR/AR user experiences. He has developed tools for dynamic lighting in pixel art games and multimodal guardian systems in VR. His datasets, such as Sewer Defect Point Clouds and Wind Turbine Blade SfM Reconstructions, are publicly available for academic use. He actively contributes to educational innovation, such as flipped classroom strategies to boost programming class engagement. His interdisciplinary approach spans computer graphics, AI-driven NPC interactions, and collaborative mixed-reality games for trust-building. Labs/Teams: Member of the Computer Graphics Group and Visual Analysis and Perception team at Aalborg University. Collaborates with industry partners on drone technology and environmental surveillance systems.

• 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.

Maarten van Aalstمشاهده پروفایل

استاد

• Climate Change
• Disaster Resilience
• Climate Risk Management
• +۷ مورد دیگر

Maarten van Aalst is Full Professor of Climate and Disaster Resilience at the University of Twente's Faculty of Geo-information Science and Earth Observation (ITC), Department of Applied Earth Sciences. He also serves as Director General and Chief Science Officer of the Royal Netherlands Meteorological Institute (KNMI) and is the Permanent Representative of the Netherlands to the World Meteorological Organization (WMO), ECMWF, and EUMETSAT. His research focuses on climate risk, disaster resilience, and adaptation, particularly in vulnerable and developing contexts. He integrates atmospheric science with social systems to improve climate-informed decision-making. His work spans climate modeling, risk perception, and policy integration, especially in urban and conflict-affected areas. The recent publications highlight trends in climate adaptation, social protection, urban heat risk, and extreme event attribution. These works emphasize interdisciplinary approaches, combining climate science with public health, social policy, and humanitarian action. Key themes include climate justice, limits to adaptation, and the integration of climate risks into development frameworks. Coordinating Lead Author, IPCC (AR6, AR5, SREX) Member, European Scientific Advisory Board on Climate Change Trustee, International Institute for Environment and Development (IIED) Prof. van Aalst has advised multiple PhD students and collaborated with institutions such as the World Bank, UNDP, OECD, and Columbia University. He has led major climate risk initiatives with Red Cross Red Crescent and contributed to UN frameworks. His advisory roles extend to UNFCCC, UNDRR, and the UN Secretary-General’s climate team. He leads research teams at KNMI and ITC, integrating climate modeling, remote sensing, and social science. His labs and projects focus on real-time climate risk monitoring, early warning systems, and community-based adaptation, particularly in Africa and South Asia.

• AI and Robotics
• Human-Robot Interaction (HRI)
• Autonomous Agents
• +۷ مورد دیگر

Dr. Abolfazl Zaraki is a Senior Lecturer in AI and Robotics at the University of Hertfordshire's Department of Computer Science, part of the School of Physics, Engineering & Computer Science. He leads the Robotics Research Group and previously held roles at Cardiff University's School of Engineering and the IROHMS Research Centre. His academic journey includes a Master's in Mechatronics from University Technology Malaysia (2010) and a PhD in Automatic Robotic and Bioengineering from the University of Pisa (2014). He has held Research Fellow positions in Italy and the UK until 2019. Dr. Zaraki's research focuses on AI-driven autonomous systems, social robotics, and assistive technologies. Key projects include the EASEL, BabyRobot, and JAMES EU initiatives, alongside the Innovate UK-funded InSight project. His work emphasizes Human-Robot Interaction (HRI), trusted autonomy, and applications in healthcare and industrial contexts. Notable contributions include the development of the Kaspar humanoid robot for autism therapy and advancements in reinforcement learning for robotic control. His recent publications (2021–2025) explore agentic AI, memory-driven systems, and personalized LLMs for HRI, alongside technical advancements in robotic control, communication systems, and bio-inspired robotics. His research bridges theoretical AI innovation with practical applications in healthcare, education, and industrial automation. Zaraki has collaborated internationally across institutions and industry partners, contributing to 35+ research outputs. His work aligns with global trends in ethical AI, explainable systems, and human-centric robotics design.

• Robotics
• Artificial Intelligence
• Medical Imaging
• +۵ مورد دیگر

Dr Shahnewaz Ali is a Postdoctoral Fellow in the Faculty of Engineering's School of Electrical Engineering & Robotics at Queensland University of Technology (QUT). He is affiliated with the Centre for Robotics and holds a PhD from QUT and an MSc in Computer Engineering from Politecnico di Milano. His research focuses on the intersection of robotics, artificial intelligence, and biomedical applications, emphasizing wearable technology, surgical robotics, and sensor systems. Key research interests include AI-driven medical imaging, robotic surgery systems, and biomarker detection using wearable devices. His work spans sensor technologies for robotics, real-time surgical scene analysis, and predictive performance monitoring. Recent projects include developing a wearable monitoring system for stress biomarkers and advancing arthroscopic surgical techniques through 3D mapping and deep learning. Education: PhD, Queensland University of Technology MSc (Computer Engineering), Politecnico di Milano Dr Ali's publications cover topics like surgical scene restoration, microRNA-based performance prediction, and sensor development for medical robotics. His research bridges engineering and healthcare, aiming to enhance diagnostic accuracy and robotic surgical precision. Collaborations include multidisciplinary teams at QUT and international institutions.

Thomas Speckمشاهده پروفایل

استاد

• Biomimetics
• Biomechanics
• Plant Development
• +۲ مورد دیگر

Prof. Dr. Thomas Speck is a Full Professor of Botany (Functional Morphology and Biomimetics) at Albert-Ludwigs-Universität Freiburg. He serves as Principal Investigator for Research Areas B, C, and D, and Coordinator of the Demonstrator Line within the Cluster of Excellence livMatS. As Director of the Botanical Garden, he combines academic leadership with institutional management. His research focuses on biomimetic applications derived from plant biomechanics, including material science, robotics, and sustainable technologies. Key projects involve developing bio-inspired actuators, adaptive materials, and energy-harvesting systems. Speck also explores plant-host interactions (e.g., mistletoe) and integrates biomimetic principles into education and architecture. Recent work includes studies on plant-inspired soft robots, hygromorphic materials, and biohybrid systems for reforestation. His interdisciplinary approach bridges biology, engineering, and design, with applications in healthcare (e.g., speaking valves), renewable energy, and urban sustainability. Education: Advanced academic training in botany and biomechanics. Grants: Cluster of Excellence livMatS funding and DFG projects. Supervised over 15 doctoral and postdoctoral researchers, contributing to 100+ publications. Laboratory facilities include the Botanical Garden and IDEASfactory@FIT for prototyping biomimetic solutions.