جستجوی استاد راهنمای دانشگاهی

Michelle Zeibotsمشاهده پروفایل

مدرس ارشد

• Transport Planning
• Sustainable Urban Transport
• Multi-modal Transport Networks
• +۵ مورد دیگر

Dr. Michelle Zeibots is a Senior Lecturer in the School of Civil and Environmental Engineering within the Faculty of Engineering & Information Technology at the University of Technology Sydney (UTS). She also serves as the Co-Leader of Program 5 — Transport Economics, Planning & Service Engineering within the UTS Transport Research Centre, a multi-disciplinary research hub dedicated to applied transport research and teaching. Her academic journey includes a PhD in Sustainable Futures from UTS, a BA(Hons) from Murdoch University, and a BSc(Arch) from the University of Sydney. Zeibots integrates operational, behavioral, and governance aspects of multi-modal urban transport networks in her research, consultancy, and teaching. Her expertise spans sustainable urban passenger transport systems, induced traffic growth, public and active transport models, and Least Cost Planning approaches to reduce road traffic congestion. Zeibots' recent research output demonstrates a strong focus on shared space modeling, pedestrian-vehicle interaction, traffic management optimization, and sustainable transport solutions. Her work bridges computer vision applications for crowd analysis with traditional transportation engineering, creating innovative approaches to urban mobility challenges. She has developed the Integrated Pedestrian-Vehicle Model (IPVM) and conducted significant research on effort-based pedestrian route choice behavior. Engineers Australia Transport Medal (2024) CRC Association Excellence in Innovation (2019) UTS Vice-Chancellor's Award for Research Excellence through Collaboration (2018) Finalist, CILTA 2018 Professional Women of the Year UTS Research Excellence Award for Collaboration (2018) As an educator, Zeibots teaches 48370 Road & Transport Engineering and has led continuing professional development courses in Travel Planning and Integrated Transport & Land-use. She has supervised PhD students through iMOVE CRC scholarships and secured significant research funding from Transport for NSW, Railway Manufacturing Cooperative Research Centre, ARC Linkage Projects, and other sources. Her media presence is notable, with frequent appearances where she translates technical transport concepts into accessible language for public discussion. Michelle Zeibots maintains active professional memberships with Engineers Australia (Transport Australia Society), Planning Institute of Australia, and Chartered Institute of Logistics & Transport Australia Inc. (CILTA), and her work aligns with UN Sustainable Development Goals 9, 11, 12, and 13.

• Weed Biology
• Crop Protection
• Seed Science
• +۵ مورد دیگر

Christian Andreasen is an Associate Professor at the University of Copenhagen's Department of Plant and Environmental Sciences, where he leads the Plant Protection research group in the Section for Crop Sciences. He earned his MSc in Agronomy (1986) and PhD in Weed Science (1990) from the Royal Veterinary and Agricultural University (now University of Copenhagen). His academic career includes roles as Assistant Professor (1991-1995), Associate Professor (1995-present), and Head of Crop Sciences (2004-2015). His research spans weed biology, sustainable crop protection, and seed technology, with emphasis on: Non-chemical weed control (laser weeding, thermal methods) Crop-weed interactions in changing climates Seed science and quinoa cultivation in tropical zones Biodiversity conservation in agricultural systems Publications (2019-2025) demonstrate strong focus on sustainable agriculture technologies, particularly laser-based weed control, climate adaptation of crops, and biochar soil applications. Research consistently addresses herbicide alternatives, precision agriculture, and resilience of crops like quinoa under abiotic stresses. He actively advises PhD candidates and has supervised 10+ doctoral projects. Major grants include Horizon 2020's WeLASER project (2021-2024) on autonomous laser weeding, AC/DC Weeds (2021-2022) for perennial weed management, and Sweedhart (2016-2019) on harvest weed seed control. Leads field and laboratory facilities at Taastrup Campus, collaborating internationally through NIBIO (Norway) and DanSeed consortium.

• Remote Sensing
• Ecology
• Conservation Biology
• +۷ مورد دیگر

Nathalie Pettorelli is a Professor at the Institute of Zoology, Zoological Society of London, and holds an Honorary Professor position at University College London. She leads the Environmental Monitoring and Conservation Modelling (EMCM) team at the Institute of Zoology, focusing on developing tools and methodologies for sustainable natural resource management. Her educational background includes a PhD in Ecology & Modelling from University Lyon (1999-2002), a DEA in Ecology & Modelling from University Lyon (1998-1999), and a Master in Ecology from University Paris 5 (1997-1998). Pettorelli's research centers on assessing and predicting the impacts of global environmental change on biodiversity and ecosystem services, with particular emphasis on climate change. She employs a multi-disciplinary approach integrating statistics, remote sensing, and programming to conduct internationally recognized research. Her extensive experience with remote sensing data drives her interest in promoting better integration of satellite-based data in global monitoring programs, particularly for biodiversity conservation applications. Her work spans conservation, ecology, biodiversity monitoring, and applied ecological research, with recent publications demonstrating strong focus on climate change impacts, nature-based solutions, and technological innovations in conservation. Her extensive publication record shows consistent contributions to high-impact journals including Nature Ecology & Evolution, Journal of Applied Ecology, and Trends in Ecology and Evolution, with recent work exploring the intersection of AI, remote sensing, and conservation science. Pettorelli frequently collaborates on horizon scanning exercises to identify emerging conservation issues and has contributed to several book chapters on seabird conservation. Pettorelli has progressed through the academic ranks at the Zoological Society of London, from Post Doctoral Research Fellow (2006-2009), to Research Fellow (2009-2017), Senior Research Fellow (2017-2022), and now Professor (2022-present). Her work demonstrates strong interdisciplinary collaboration across ecology, conservation science, remote sensing, and policy development. She leads the Environmental Monitoring and Conservation Modelling team, which develops innovative approaches to environmental monitoring and conservation planning. Her research group works at the intersection of technology and ecology, developing new methods for biodiversity assessment and conservation decision-making under global environmental change.

• Ecoacoustics
• Biodiversity Monitoring
• Machine Learning Applications
• +۵ مورد دیگر

Sarab Sethi is a Lecturer in the Department of Life Sciences at Imperial College London, where he develops computational approaches for biodiversity monitoring through ecoacoustics. His work integrates machine learning, sensor technology, and ecological fieldwork to address conservation challenges, particularly in tropical ecosystems. His research focuses on advancing soundscape ecology through innovative methodologies including random forest analysis of avian migration patterns, development of low-power acoustic monitoring systems, and standardization of acoustic indices. Key contributions involve demonstrating how soundscapes predict species occurrence in tropical forests and creating open-source tools like the SAFE Acoustics network for real-time ecosystem monitoring. Recent publications reveal a strong trend toward scalable biodiversity assessment solutions, with increasing emphasis on robotics-assisted surveys, virtual acoustics validation, and robust machine learning models that function effectively under noisy field conditions. His work consistently bridges theoretical ecology with practical conservation applications. Dr. Sethi actively contributes to scientific discourse through peer review for high-impact journals including Nature , Nature Reviews Biodiversity , and Proceedings of the National Academy of Sciences , demonstrating significant scholarly engagement within the ecological research community. He leads the development of critical infrastructure for ecoacoustic research, including the Acoustic Index User's Guide and validation frameworks for ecoacoustic metrics, which enable standardized biodiversity assessment across global ecosystems. His fieldwork in Malaysian Borneo provides foundational data for tropical conservation applications.

• Tropical Forest Ecology
• Wildlife Conservation
• Camera Trapping
• +۷ مورد دیگر

Dr. Joeri A. Zwerts is an Assistant Professor in Wildlife Ecology at Utrecht University's Faculty of Science, Department of Biology, Environmental Biology group since September 2023. He serves as Coordinator of Tropical Ecology, Land Use and Nature Management and teaches courses in Conservation Science & Impact and Tropical Ecology. His educational background includes an MSc from Wageningen University & Research (2011-2013) and a BSc from Utrecht University (2006-2010). His research focuses on managing multifunctional landscapes to balance natural resource production and nature conservation in the face of increasing global resource demands. He investigates the connections between land use, climate change, and biodiversity by quantifying the impacts of management strategies on wildlife conservation and habitat use. Zwerts' work encompasses developing advanced biomonitoring methods (particularly sound-based techniques), evaluating conservation impact effectiveness, studying landscape connectivity, and addressing human-wildlife conflict. His research primarily focuses on mammals as indicators of environmental management effectiveness, with special attention to tropical forest ecosystems. His publication record shows a strong focus on innovative monitoring technologies, particularly camera trapping and bioacoustics, with applications in tropical forest conservation. He has published in high-impact journals including Nature, Science, and Nature Communications, with recent work emphasizing AI-enabled monitoring systems, forest certification impacts, and tropical forest dynamics under climate change. Dr. Zwerts has established significant field research in Central Africa, particularly in Gabon, working with forestry companies and conservation organizations. He has coordinated large-scale studies involving camera traps across multiple logging concessions in the Congo Basin. Outside his university position, he serves as an Individual Member of the Environmental Chamber of the Forest Stewardship Council and as Technical Advisor for the Precious Forest Foundation. He also provides wildlife monitoring consultancy services through his independent enterprise.

Rita Quetziquel Fuentes Aguilarمشاهده پروفایل

پژوهشگر

• Biomedical Engineering
• Control Systems
• Artificial Intelligence
• +۶ مورد دیگر

Rita Quetziquel Fuentes Aguilar is a Researcher at the National School of Sciences and Engineering of Tecnológico de Monterrey, where she leads the Institute of Advanced Materials for Sustainable Manufacturing. She specializes in biomedical engineering applications, from the design of new medical devices to control implementation. Her work spans multiple disciplines including artificial intelligence, robotics, and biomedical engineering. Dr. Fuentes-Aguilar's educational background includes: Bio-medical engineer from Instituto Politécnico Nacional, Ciudad de México Master of Science from Centro De Investigación Y De Estudios Avanzados Del IPN PhD in Automatic Control from Centro De Investigación Y De Estudios Avanzados Del IPN Her research focuses on mathematical model identification and control of objects deformation, machine learning for prediagnosis, and the development of solutions in the medical area. She has made significant contributions to rehabilitation robotics, medical device design, and AI-assisted biomedical engineering. Her work often bridges theoretical control systems with practical medical applications, resulting in numerous patents and publications. Dr. Fuentes-Aguilar's recent publications demonstrate a clear interdisciplinary trend combining control theory, artificial intelligence, and biomedical applications. Many focus on rehabilitation technologies, medical imaging, and adaptive control systems for medical devices, with increasing emphasis on sustainable manufacturing approaches. Her notable scientific achievements include: Mejor Cartel award from Encuentro de Ingeniería Biomédica (2011) Premio a la Excelencia Académica from Instituto Politécnico Nacional (2007) Mexican Researcher Certification - Level 1 Dr. Fuentes-Aguilar has secured research funding through projects sponsored by the National Council of Science and Technology and is a member of the National System of Researchers. She has one granted patent, seven national patent applications, three PCT applications, and three public copyright registries, reflecting her commitment to translating research into practical applications. She leads the Institute of Advanced Materials for Sustainable Manufacturing and is part of the Strategic Research Group "Enabling technologies for the development of advanced materials" in Guadalajara. Her work contributes to UN Sustainable Development Goals including Good Health and Well-being, Industry Innovation and Infrastructure, and Life on Land.

• UAV photogrammetry
• Remote sensing
• Geomorphological monitoring
• +۷ مورد دیگر

Anette Eltner is a Junior Professor for Geosensor Systems at the Technical University of Dresden since 2021. Her work focuses on developing innovative methods for environmental monitoring using AI and remote sensing technologies. She leads research projects that aim to improve flood forecasting systems and monitor geomorphological changes through advanced imaging techniques. Her educational background includes: PhD in Geography from TU Dresden (2016), awarded by the German working group for geomorphology Diploma in Geography from TU Dresden (2010) with minors in Photogrammetry/Remote Sensing, Soil Science and Hydrology Professor Eltner's research spans multiple cutting-edge areas in geospatial technology and environmental science. She specializes in UAV photogrammetry and remote sensing, developing methods for precise geomorphological and hydrological monitoring. Her work integrates artificial intelligence with environmental sciences to create more accurate predictive models for natural processes. She focuses particularly on erosion processes in fragile landscapes and has pioneered techniques for spatio-temporal high resolution topography using laserscanning, structure-from-motion, and time-lapse imaging. Her innovative approach to image processing enables automatic feature detection and tracking in geographic applications, while her development of low-cost geosensor systems makes advanced monitoring accessible in resource-limited settings. Her publication record demonstrates consistent advancement from foundational photogrammetric techniques to sophisticated AI integration for real-time environmental assessment. The research shows increasing emphasis on practical flood warning applications and dynamic landscape monitoring, particularly for small waterways where traditional monitoring systems are lacking. Her notable scientific achievements include: PhD thesis award from the German working group for geomorphology (AK Geomorphologie) TUD Young Investigator status (recognizing excellent, independent junior research group leaders) Editorial board membership for Geoscientific Instrumentation, Methods and Data Systems and Photogrammetric Record Professor Eltner leads the "Artificial Intelligence for Flood Warning (KIWA)" project, evaluating camera-based water level monitoring systems along small tributaries of the Elbe River in Saxony. Her research group develops AI-supported methods to analyze water surface imagery and predict flood events in small waterways. She has secured funding for projects in Germany and internationally, including current work in Oman combining cameras and seismic sensors to monitor rare flood events in wadis. Her team is developing systems that allow sensors to communicate with each other for dynamic environmental monitoring. Her laboratory work focuses on developing cost-effective monitoring solutions using accessible technology like Raspberry Pi computers and standard cameras. She has demonstrated that these low-cost systems can effectively monitor significant landscape changes, making advanced environmental monitoring more widely available. Current projects involve creating 3D point cloud analysis methods that incorporate temporal components to better predict dynamic processes like soil erosion, rockfalls, and landslides.

• Cyber-physical Systems Security
• Attack and Fault Detection
• Robust Control
• +۴ مورد دیگر

Dr. Hunmin Kim serves as Assistant Professor in the Department of Electrical and Computer Engineering at Mercer University's School of Engineering, specializing in security and operational resilience of cyber-physical systems with applications in autonomous vehicles, UAVs, and smart grids. His educational background includes: PhD in Electrical Engineering from Pennsylvania State University (2018) BSE in Mechanical Engineering from Pusan National University (2012) Dr. Kim's research centers on developing attack/fault detection mechanisms, robust control frameworks, and path planning algorithms for cyber-physical systems operating in dynamic environments. His work addresses critical security vulnerabilities and coordination challenges in multi-agent systems, with emphasis on verifiable safety guarantees for autonomous operations. Analysis of his 2023-2025 publications reveals strong thematic convergence in resilient control under adversarial conditions, motion planning in complex environments, and assistive technology applications. His work consistently bridges theoretical control systems with practical implementations in autonomous vehicles and UAVs, featuring increasing integration of machine learning techniques for adaptive security. Professional recognition includes: Nomination for 2024 Clayton R. Paul Teaching Excellence Award Dr. Kim actively mentors undergraduate researchers through Mercer's Bear Day events and honors projects, guiding student teams in developing gesture-based drone controls, EMG signal processors, and assistive navigation devices for visually impaired individuals. He maintains extensive peer review commitments across 45+ journals/conferences annually including IEEE Transactions on Automatic Control and Automatica. He contributes to the Collaborative Center for Computing at Mercer University and serves on the IEEE CSS Technology Conferences Editorial Review Board.