Find Academic Supervisors

• Robotics
• Smart Manufacturing
• Advanced Materials Processing
• +9 more

Xiaoqi Chen is an Adjunct Professor in the Department of Mechanical Engineering & Product Design Engineering at Swinburne University of Technology, School of Engineering. He previously served as Deputy Director of the Manufacturing Futures Research Institute and Professor in the same department. Prior to Swinburne, he was Professor and Director of Mechatronics Engineering at the University of Canterbury (2006–2019), and held senior research roles in Singapore and the UK. Education: B.Eng. in Mechanical Engineering, South China University of Technology M.Sc. in Materials Technology, Brunel University, UK PhD in Electrical Engineering and Electronics, University of Liverpool, UK Prof. Chen’s research spans robotics, smart manufacturing, advanced materials processing, additive manufacturing, and autonomous systems . He is a strong advocate for translating research into commercial applications, evidenced by spin-offs like Invert Robotics Ltd. His work integrates intelligent systems with industrial processes to improve efficiency and sustainability. He is deeply involved in the ARC Training Centre for Collaborative Robotics in Advanced Manufacturing, co-leading the Biomimic Cobots program. His recent publications highlight advancements in robotic grinding, fault diagnosis using deep learning, composite materials, and additive manufacturing of superalloys . These works reflect a trend toward intelligent, data-driven, and sustainable manufacturing systems with applications in aerospace, energy, and healthcare. Scientific Awards and Recognitions: Fellow of the Royal Society of New Zealand Fellow of Engineering New Zealand (F.EngNZ) Fellow of Society of Manufacturing Engineers (F.SME) Fellow of American Society of Mechanical Engineers (F.ASME) New Zealand Hi-Tech Start-Up Excellence Award (2012) New Zealand Forest Owners Association Award (2015) Singapore National Technology Award Mechanical Engineering Research Award, University of Canterbury Advising and Grants: Prof. Chen supervises multiple PhD students in areas such as compliant mechanisms, soft robotics, and intelligent fault diagnosis. He is a Chief Investigator on industry-linked grants, including a project on rapidly-deployable soft robotic assistive devices funded by KNW DESIGN PTY LTD. His editorial roles include serving as Associate Editor for IEEE Transactions on Industrial Electronics and IEEE Transactions on Automation Science and Engineering. Labs and Teams: He leads research teams in robotics and advanced manufacturing at Swinburne and is a key figure in the ARC Training Centre for Collaborative Robotics in Advanced Manufacturing. His work bridges academia and industry, focusing on real-world deployment of robotic and intelligent systems.

Mohamed AlyView profile

Professor

• Geospatial Technologies
• Remote Sensing
• Geohazard Assessment
• +3 more

Mohamed Aly is a Professor at the University of Arkansas, affiliated with the Department of Geosciences, Center for Advanced Spatial Technologies (CAST), Arkansas Center for Space & Planetary Sciences, and Environmental Dynamics (ENDY) Program. His research integrates Synthetic Aperture Radar Interferometry (InSAR), GIS, GNSS, and machine learning for geohazard assessment and environmental monitoring. Education: PhD in Geology (Radar Interferometry), Texas A&M University MS in Geology (Remote Sensing & GIS), Zagazig University Research focuses on InSAR for crustal deformation, machine learning in geospatial analysis, wildfire and landslide susceptibility modeling, and geothermal process monitoring. Recent publications emphasize multisensor data fusion and Google Earth Engine applications. Scientific awards include NASA EPSCoR Early Career Investigator, Fulbright College Teaching Commendation, and Academic Excellence from Texas A&M. He mentors students in geohazard research and geospatial technologies.

• Remote Sensing
• Photogrammetry
• Civil Engineering
• +9 more

Dr. Maria-Valasia Peppa is a researcher at Newcastle University's School of Civil Engineering and Geosciences . Her work focuses on remote sensing, photogrammetry, and geospatial technologies, with applications in hydrodynamic modeling, landslide monitoring, and urban infrastructure analysis. Key Research Areas: UAV-based photogrammetry, glacial lake dynamics, digital elevation models (DEMs), and environmental data uncertainty. Recent Trends: Integration of deep learning with CCTV for traffic analysis, calibration of multisensor UAV systems, and real-time flood nowcasting frameworks. Collaborations: Active partnerships with Professors Jon Mills, Claire Walsh, and international institutions in Africa and Nepal. Applications: Cultural heritage mapping, water security strategies, and urban air quality modeling.

Dionisio Rodríguez-EsparragónView profile

Professor

• Remote Sensing
• Image Processing
• Data Analysis
• +5 more

Dionisio Rodríguez-Esparragón is a Professor at the University of Las Palmas of Gran Canaria (ULPGC), affiliated with the Institute of Oceanography and Global Change (IOCAG). He holds B.S., M.S., and Ph.D. degrees from ULPGC and the University of Granada. His research focuses on remote sensing applications for environmental monitoring, image processing, and oceanography. Notable collaborations include work with the Image Analysis Group at the University Politécnica de Madrid and a 2022–2024 requalification stay at the University of Pavia. Education: B.S. in Engineering (1990) – ULPGC M.S. in Physics (2010) – University of Granada Ph.D. in Remote Sensing (2016) – ULPGC Research interests include multispectral satellite image analysis, ecosystem monitoring, and climate change impacts. His work bridges environmental science with technological advancements like LiDAR and UAV-based imaging. Recent projects address volcanic activity tracking, wildfire damage assessment, and African development challenges via remote sensing. Grants and funding have supported initiatives like fusion of multisensor data for coastal ecosystems and analysis of atmospheric-oceanic parameters. His contributions extend to academic collaboration and peer review in global institutions. Labs/Teams: Active in the Medical Data Analytics group at the Center for Biomedical Research (UPM) and leads the IOCAG's remote sensing operational products research.

Zervakis MichalisView profile

Professor

• Digital Image Processing
• Signal Processing
• Biomedical Engineering
• +3 more

Zervakis Michalis is a full Professor at the Technical University of Crete (TUC), serving as Rector and Director of the Digital Image and Signal Processing Laboratory (DISPLAY). He holds a Ph.D. in Electrical Engineering from the University of Toronto (1990) and has been a faculty member at TUC since 1995. His expertise spans Digital Image/Signal Processing, biomedical applications, and neural network implementations in automation. Education: Ph.D., Electrical Engineering, University of Toronto (1990) M.Sc., Electrical Engineering, University of Toronto (1985) B.Sc., Electrical Engineering, Aristotle University of Thessaloniki (1983) Research Interests: Signal/image processing for biomedical applications Machine learning for healthcare diagnostics EEG/ECG analysis and seizure detection Neural network architectures for automation Multi-sensor systems and aerial surveillance His research emphasizes clinical applications like epilepsy monitoring and cardiovascular diagnostics, leveraging deep learning and multimodal data fusion. He has led over 20 international projects and published >90 papers in image/signal processing. Current work focuses on AI-driven medical systems and UAV-based infrastructure monitoring. Labs/Teams: Director of the DISPLAY Lab, collaborating on projects like the BorderUAS semiautonomous surveillance platform and the Pulsense cardiovascular monitoring system. Grants/Contributions: Extensive involvement in EU-funded initiatives and industry partnerships, advancing smart farming, power line inspection, and emergency response systems.

Mallika NoccoView profile

Assistant Professor

• Agrohydrology
• Soil-plant-water relations
• Irrigation management
• +7 more

Mallika Nocco is an Assistant Professor and Extension Specialist in Agrohydrology at the University of Wisconsin-Madison's Department of Biological Systems Engineering (College of Agricultural and Life Sciences). Her work bridges agricultural engineering, hydrology, and environmental science to advance sustainable water management practices. Education: B.A. in Cultural Studies & Comparative Literature/Philosophy (2004), University of Minnesota M.S. in Soil Science (2012), University of Wisconsin-Madison Ph.D. in Environment and Resources (2017), University of Wisconsin-Madison Research Interests: Dr. Nocco focuses on agrohydrology, soil-plant-water relations, and irrigation management. Her lab develops precision agriculture tools using remote sensing and integrates science communication through the Water Talk podcast. Key areas include: Climate resilience strategies for crops Managed aquifer recharge techniques Evapotranspiration modeling for water efficiency Soil health and carbon sequestration Publications Trends: Recent work emphasizes interdisciplinary approaches, with studies on almond orchard water management, cover crop impacts, and CO2 sequestration via enhanced weathering. Remote sensing innovations dominate technical outputs, while extension-focused projects address grower education and policy. Awards: 2024 Science Communication Fellowship 2023 Soil and Water Conservation Innovation Award 2017 David H. Smith Postdoctoral Fellowship Advising & Grants: Supervises graduate students in soil science and remote sensing applications. Leads projects funded by USDA, NSF, and industry partnerships, focusing on precision irrigation and environmental justice in agriculture. Labs/Teams: Director of the Conservation Irrigation Lab, collaborating with growers, policymakers, and engineers to translate research into actionable strategies. Active in the Tree-crop Remote Sensing (T-REX) initiative for climate-resilient agroecosystems.

• Surface Metrology
• Additive Manufacturing
• Precision Engineering
• +4 more

Professor Jane Jiang is a distinguished academic at the University of Huddersfield , affiliated with the School of Computing and Engineering and the Department of Engineering . She specializes in surface metrology, precision engineering, and advanced manufacturing technologies. Her work focuses on optimizing measurement techniques for additive manufacturing, X-ray computed tomography, and optical systems. Research Interests Her research spans surface texture analysis , 3D vision systems , and metrology for smart manufacturing . She develops novel methods for characterizing complex surfaces using techniques like phase measuring deflectometry and chromatic confocal sensors. Her contributions bridge engineering and materials science, emphasizing practical applications in aerospace, biomedical, and industrial sectors. Recent Contributions Her 2025 work includes advancements in freeform optics design, vibration-resistant microscopy, and neural network-based surface characterization. Her studies on XCT measurement for additive manufacturing parts address critical challenges in precision and data analysis. Affiliations & Projects She leads the Centre for Precision Technologies and actively collaborates on EU-funded projects. She organized the 1st International Conference on Metrology and Standard (2024) and contributes to interdisciplinary initiatives in bio-engineering and advanced materials. Grants & Teams Her team includes researchers like Shan Lou and Paul Scott , focusing on metrology for medical implants and aerospace components. She supervises PhD students exploring AI-driven surface specification and manufacturing process optimization.

• Remote Sensing
• Environmental Science
• Geoinformatics
• +3 more

Nandika Tsendbazar is an Assistant Professor at the Department of Geo-information Science and Remote Sensing at Wageningen University & Research. She leads research in land cover mapping, remote sensing applications, and environmental monitoring. Her work focuses on global land cover dynamics, satellite time series analysis, and geospatial data integration for sustainability challenges. Research Interests: Land Cover Mapping & Change Detection Remote Sensing of Ecosystems Drone Technology Integration Urban-Rural Environmental Inequality GIS Applications in Conservation Recent Articles Highlight: Her 2025 study on Peruvian Amazon drone mapping and 2024 global land cover validation work demonstrate her expertise in advancing geospatial techniques for environmental analysis. Ongoing projects include Mongolian grassland resilience and Ramsar wetland monitoring. Advising: Supervises PhD research on tree diversity monitoring, Mongolian grasslands, and crop anomaly detection through remote sensing. Active in 13+ research projects with international collaborators. Labs/Teams: Member of the Laboratory of Geo-information Science and Remote Sensing, contributing to global land cover products like Copernicus and ESA WorldCover initiatives.

Johannes ReicheView profile

Associate Professor

• Radar Remote Sensing
• Forest Dynamics
• Tropical Forests
• +4 more

Dr. Johannes Reiche is an Associate Professor and leader of the Radar Remote Sensing team at Wageningen University's Laboratory of Geo-information Science and Remote Sensing. He specializes in radar remote sensing for monitoring tropical forest ecosystems, focusing on deforestation, land use change, and multi-sensor data integration. His work includes developing the RADD forest disturbance alert system and contributing to global initiatives like GFOI. Reiche holds a PhD (2015) and MSc (2011) from Wageningen University and the University of Jena. He teaches radar remote sensing in the MSc Geo-Information Science program and actively promotes open data access and capacity building. His research emphasizes near-real-time monitoring using Sentinel-1 data, with applications in environmental policy and conservation. Key projects include NextGenCarbon, World AgroCommodities, and Open-Earth-Monitor. Reiche collaborates internationally, representing the land community in ESA's Sentinel-1 advisory group. Education: PhD in Geo-Information Science (Wageningen, 2015), MSc in Geography (University of Jena, 2011) Research interests span radar techniques, tropical forest dynamics, and environmental informatics. His publications (over 70 articles) focus on SAR-based disturbance detection, deforestation drivers, and satellite data fusion. He leads teams developing operational monitoring tools for global forest conservation efforts.

• Internet of Things
• Assisted Living Environments
• Smart Sensors
• +12 more

Mariana Catela Jacob Rodrigues is an Assistant Professor in the Department of Applied Digital Technologies at Iscte – University Institute of Lisbon and an Associate Researcher at the Institute of Telecommunications – IUL, where she works within the Instrumentation and Measurements Group. She holds a PhD in Information Technologies and Systems from Iscte, completed in 2024, following a Master’s and Bachelor’s degree in Telecommunications and Computer Engineering from the same institution. Her research interests span a multidisciplinary range of topics, including: Internet of Things (IoT) Assisted Living Environments Smart Sensors and Wearable Devices Cardiorespiratory and Physiological Monitoring Environmental and Air Quality Monitoring Artificial Intelligence in Healthcare Mobile Application Development Virtual Reality in Rehabilitation The analysis of her recent publications reveals a strong focus on the integration of sensor technologies and AI for health and environmental applications. Her work frequently involves the development and evaluation of unobtrusive monitoring systems in ambient assisted living contexts, with specific attention to indoor localization, fall detection, and the impact of environmental stimuli—such as lighting and music—on autonomic nervous system responses. Much of her research is published in IEEE conferences and journals related to instrumentation, sensors, and medical measurements. Her scientific achievements include: Best Student Paper Award at the IEEE International Symposium on Medical Measurements and Applications (2022) ISTA Top Talent 2018-2019 (awarded in 2020) Best Student Paper Award at the 2nd International Symposium on Sensing and Instrumentation in IoT Era (2019) Mariana Rodrigues is actively involved in academic service and outreach. She has served on the organizing committees of multiple scientific events, including the International Symposium on Sensing and Instrumentation in IoT Era and several summer schools on Smart Systems for Ambient Assisted Living. She currently holds leadership positions in IEEE, serving as Chair of the IEEE Women in Engineering (WIE) Affinity Group and the IEEE Instrumentation and Measurement Society Chapter at Iscte. She has also contributed to science communication through events like the ISCTE Summer School on “Healthy and Sustainable Environment.”

• Marine Sensors
• Scientific Applications of Submersibles
• Polymetallic Sulfide Resources
• +5 more

Dr. Wei Cai is a Research Associate Professor in the Department of Ocean Science and Engineering at the Southern University of Science and Technology (SUSTech). He also serves as Assistant to the President of the Academy of Marine Sciences at SUSTech and Assistant Director of the Shenzhen Branch of the Laboratory of Marine Science and Engineering of Guangdong Province. Additionally, he is the Deputy Director of the Marine Robot & Power System Laboratory and a member of the National Technical Committee for the Standardization of Submersibles. Dr. Cai received his educational background as follows: Doctor of Biomedical Engineering : Zhejiang University, September 2007 - June 2012 Bachelor of Biomedical Engineering : Zhejiang University, October 2002 - June 2007 Dr. Cai has dedicated his career to marine technology research for nearly 15 years, with expertise spanning multiple disciplines of ocean science and engineering. His primary research interests focus on marine sensors , scientific applications of submersibles , and polymetallic sulfide resources in the international seabed area . His work bridges engineering innovation with practical oceanographic applications, particularly in deep-sea exploration technologies. Dr. Cai has extensive field experience, having participated in 12 cruises on China Ocean Voyages, where he served as chief scientist for several important missions including sea trials of the "Qianlong II" AUV in 2016, "Qianlong III" AUV in 2018, and Deep-Sea Drilling Rig in 2021. His January 2019 expedition with the "Deep Sea Warrior" manned submersible reached a depth of 2,773 meters in the Southwest Indian Ocean, demonstrating his hands-on expertise in extreme deep-sea environments. Dr. Cai's research portfolio demonstrates a clear progression from fundamental sensor development to sophisticated deep-sea exploration systems. His early work focused on chemical sensors for water quality monitoring, particularly for heavy metal detection, which laid the foundation for his later specialization in marine applications. Over time, his research evolved toward deep-sea technologies, with increasing emphasis on autonomous underwater vehicles (AUVs), hydrothermal vent systems, and polymetallic sulfide resource exploration. His publications reveal strong interdisciplinary connections between chemical engineering, robotics, marine geology, and environmental science, with practical applications in both resource exploration and environmental protection. Dr. Cai's scientific achievements have been recognized with several prestigious awards: Second Prize of National Science and Technology Progress Award (Team), 2019 Outstanding Contribution Award of China Marine Engineering Consulting Association (Team), 2019 Outstanding Graduate of Zhejiang Province, 2012 2022 Pearl River Talent Plan Young Top Talent 2022 Shenzhen "Pengcheng Peacock Plan" Special Post C As a principal investigator, Dr. Cai has secured significant research funding, including the National Key Research and Development Program of China, projects from the Deep Blue Project Fund by Shanghai Jiao Tong University, and various provincial and national research grants. His leadership extends to serving as deputy chief designer of technical upgrade and scientific application of the "Qianlong II" AUV. Dr. Cai has also contributed to major scientific endeavors as a participant in numerous China Ocean Voyage projects, with funding ranging from millions to tens of millions of RMB per project. Dr. Cai leads the Marine Robot & Power System Laboratory at SUSTech, where his team focuses on developing advanced marine technologies for deep-sea exploration. His laboratory work integrates robotics, sensor development, and data analysis to create comprehensive solutions for underwater research and resource exploration. The lab's current projects include developing high-sensitivity methane sensors for deep-sea environments, systems for detecting heavy metals in hydrothermal plumes, and wireless sensor networks for red tide early warning systems. This multidisciplinary approach positions Dr. Cai's team at the forefront of marine technology innovation in China.

• Analytical Chemistry
• Electrochemical Sensors
• Biosensors
• +3 more

Laura PIGANI is an Associate Professor at the Department of Chemical and Geological Sciences , University of Modena and Reggio Emilia. With expertise in analytical chemistry, she specializes in electrochemical sensor development for applications in clinical, environmental, and food analysis. Research Interests : Electrochemical sensors, biosensors, chemometrics, and optoelectronic materials. Teaching : Courses in Analytical Chemistry and Chemical Sensors at both undergraduate and postgraduate levels. Her work focuses on portable systems for Cannabis sativa analysis, metal bioaccumulation studies in plants, and multisensor data fusion for agricultural monitoring. Recent publications highlight innovations in THC/CBD discrimination , caffeic acid detection , and deep eutectic solvent applications . Collaborations with forensic and environmental institutions underscore her translational research impact. Techniques : Cyclic voltammetry, screen-printed electrodes, sonogel-carbon devices, and multivariate statistical analysis. Applications : Drug testing, grape ripening monitoring, battery recycling, and sustainable pigment extraction. Dr. PIGANI's laboratory employs advanced materials like carbon black , PEDOT , and metal nanoparticles to develop cost-effective, reusable sensors. Her interdisciplinary approach bridges material science, electrochemistry, and analytical methodology.

• Remote Sensing
• Machine Learning
• Image Processing
• +3 more

Sebastiano Serpico is a Professor at the Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN) of the University of Genoa, Italy, and serves as President of the university's Scuola Superiore IANUA graduate school. His research centers on remote sensing image analysis, specializing in machine learning and deep learning techniques for image classification, semantic segmentation, and change detection. He integrates convolutional neural networks with probabilistic graphical models (Markov Random Fields, Conditional Random Fields) to process multi-sensor and multi-resolution data from satellites and UAVs, with strong emphasis on environmental monitoring applications. Recent publications reveal a dominant focus on fusing hyperspectral, SAR, and optical data using deep learning architectures for natural disaster management and water-related risk assessment. His work demonstrates consistent innovation in multiresolution fusion frameworks and unsupervised feature extraction, particularly addressing challenges in heterogeneous data analysis for environmental risk programs like Italy's 'Return' initiative under the EU Next Generation framework.

• Antenna Engineering
• 5G and mm-wave antennas
• Wearable and flexible antennas
• +4 more

Syed Muzahir Abbas serves as an Adjunct Professor at Macquarie University's School of Engineering, specializing in advanced antenna systems and wireless technologies. His research bridges materials science and electrical engineering with a focus on practical applications in telecommunications and sensor networks. Dr. Abbas's primary research interests span antenna engineering with particular expertise in 5G/mm-wave antennas, wearable and flexible antenna systems, carbon nanotube and graphene applications, metamaterials, and IoT sensor technologies. His work consistently explores the intersection of novel materials and electromagnetic design to solve real-world communication challenges. Analysis of his recent publications reveals a strong trend toward practical applications of advanced materials in wireless systems, particularly focusing on flexible electronics for IoT applications, enhanced RFID technologies, and specialized antenna designs for satellite and body-area networks. His research demonstrates significant collaboration with industry partners and other academic institutions. Dr. Abbas actively supervises graduate research, inviting potential Masters and PhD students to contact him regarding research opportunities in antenna engineering and wireless communication systems.

• Remote Sensing
• Geoinformatics
• Environmental Monitoring
• +3 more

Prof. Katharina Anders holds the Professorship for Remote Sensing Applications at the Technical University of Munich (TUM), within the TUM School of Engineering and Design. Her research focuses on methodological advancements in remote sensing data analysis, particularly for observing Earth surface dynamics in contexts like natural hazards, climate change, and human-environment interactions. She earned her PhD in Geoinformatics from Heidelberg University, with a research stay at TU Delft. Key contributions include 4D observation techniques for geo-environmental monitoring and automated change detection systems using LiDAR and photogrammetry. Education: Studied Geography, Computer Science, and Environmental Physics at Heidelberg University Doctorate in Geoinformatics (cum laude) from Heidelberg University Research stay at TU Delft Research interests emphasize cross-scale analysis of landscape dynamics, with a focus on integrating high-resolution 3D/4D time series and machine learning for environmental monitoring. Her work bridges remote sensing, geoinformatics, and environmental science, addressing challenges like coastal erosion, permafrost thaw, and infrastructure safety. Her award-winning papers and projects include advancements in LiDAR-based change detection, fusion of multisource data, and open educational resources like the E-TRAINEE platform for time series analysis. Recent publications highlight innovations in 4D object segmentation, UAV photogrammetry, and snow cover dynamics tracking. Notable awards include the Baden-Württemberg Foundation Fellowship (2022) and the ISPRS Geospatial Week Best Paper Award (2019). Her research has been applied to diverse case studies, from Arctic permafrost monitoring to Tyrolean rockfall prevention.