Speakers
Prof. Pedro Cabral (PC) is a Full Professor at NUIST, China. Currently, he is teaching Observing Earth from Space and Introduction to Earth System Sciences to Phd students. His research interests are Ecosystem Services, Remote Sensing and Geographical Information Systems. He got a PhD Applied Mathematics to Social Sciences at the École des Hautes Études en Sciences Sociales (EHESS), Paris, France. He holds a MSc in GIS (IST, Universidade Técnica de Lisboa). He was a post-doc Researcher at UMR AMURE (Ifremer-UBO, Brest) where he worked in marine and terrestrial ecosystem services.
He has published in top academic journals, such as Ecosystem Services, Marine Policy, Land Use Policy, Biological Conservation, Journal of Cleaner Production, among many others. He is associate editor of the Journal of Urban Planning and Development (ASCE) and editorial board member of Geographies (MDPI) and Frontiers in Environmental Science. PC has been listed on the Scopus World’s Top 2% Scientists 2021, 2022 and 2024.
He is a committee member for major international conferences including AGILE and IGARSS. PC is Principal Investigator of several research and capatcity building projects related to Ecosystem Services, GIS and Remote Sensing. He has also coordinated work packages and participated as team member in several research and capacity building projects. He has (co)supervised >150 MSc concluded thesis and 10 PhD concluded thesis. He regularly participates as expert for selection of international projects (e.g. European Commission).
Prof. Pedro Cabral
Nanjing University of Information Science & Technology, China Speech title: Remote sensing global changes of ecosystem
Prof. Dong Yanni
Wuhan University
Speech title： Object detection and tracking: pixel-object-time scale
Dong Yanni, Professor and Doctoral Supervisor at the School of Resources and Environmental Sciences, Wuhan University, is a recipient of the National Science Fund for Excellent Young Scholars. Her research primarily focuses on intelligent spatial data processing and geoscientific interpretation of remote sensing.
She has published over 50 SCI-indexed papers in prestigious international journals such as IEEE TIP, IEEE TCybern, IEEE TGRS, and ISPRS. She serves as an Associate Editor for the SCI journals IEEE TGRS and IEEE GRSL, and as a Senior Program Committee member for renowned international conferences on image analysis, including ICCV and AAAI. Additionally, she holds leadership roles as a Senior Member of IEEE, Vice Chair of the IEEE GRSS Wuhan Chapter, and Vice Chair of the Excellent Doctoral Dissertation Club of the China Society of Image and Graphics.
Her notable awards include the Shi Qingyun Women Scientist Award from the China Society of Image and Graphics, the Excellent Doctoral Dissertation Nomination Award from the same society, and the Hong Kong Scholars Award. She has led more than 10 research projects, including the National Natural Science Foundation of China (NSFC) Excellent Young Scholars Program, General Program, and Youth Program.
Wang Yi, Ph.D., Professor and Doctoral Supervisor. He currently serves as the leader of the Hubei Provincial First-Class Undergraduate Program “Geoinformation Science and Technology.” In 2011, he was selected for the “Cradle Plan for Talents” at China University of Geosciences, followed by inclusion in the “Wuhan Morning Light Young Scientist Program” in 2013. In 2020, he was honored as a “Distinguished Young Scholar” under the “CUG Scholar” initiative. In 2022, he was invited as a Distinguished Expert by the Henan Provincial Natural Resources Science and Technology Innovation Center. From 2023 to 2024, he was consecutively listed in the “World’s Top 2% Scientists” annual scientific influence ranking, jointly released by Stanford University and Elsevier.
His primary research focuses include disaster remote sensing, spatiotemporal analysis and prediction of geological hazards, intelligent geoinformation processing, and geological environment remote sensing monitoring.
Prof. Wangyi
China University of Geosciences
Dr. Muhammad Bilal
King Fahd University of Petroleum & Minerals, Saudi Arabi.
Speech title: A Novel Remote Sensing index for Mapping of Wildfire Burned Area
Dr. Muhammad Bilal is currently affiliated with King Fahd University of Petroleum & Minerals, Saudi Arabia. He earned his Ph.D. in Photogrammetry and Remote Sensing from the Department of Land Surveying & Geoinformatics (LSGI) at the Hong Kong Polytechnic University (PolyU: 65th QS World Ranking), Hong Kong, under the prestigious Hong Kong Ph.D. Fellowship Scheme (2010/2011). Notably, he was the first Pakistani selected for this fellowship in its pioneer batch of 2010, out of 300 applicants from Pakistan.
Dr. Bilal servied as a Professor in the School of Surveying and Land Information Engineering at Henan Polytechnic University, Jiaozuo, China. Previously, he held the position of Professor at Nanjing University of Information Science and Technology, Nanjing, China, from October 2017 to September 2022. From 2014 to 2017, he worked as a Postdoctoral Fellow at PolyU (HK). In recognition of his exceptional research contributions, the Jiangsu Provincial Department of Education awarded him the title of “Distinguished Professor” in October 2018. Additionally, he was ranked among the Top 2% of World Scientists in Meteorology and Atmospheric Sciences for the year 2019 by Stanford University, USA. Dr. Bilal’s expertise and contributions continue to advance the fields of photogrammetry, remote sensing, and atmospheric sciences.
Dr. Mir Sajjad Hussain Talpur is currently an Associate Professor and Director of the Information Technology Center at Sindh Agriculture University, Pakistan. He earned his Ph.D. in Computer Science and Technology from Central South University, China, in 2015, and possesses extensive teaching and research experience in the field of information technology.
His research focuses primarily on the Internet of Things (IoT), Artificial Intelligence (AI), blockchain technology, cybersecurity, and smart healthcare systems. To date, he has published over 40 academic papers, many of which are indexed in Scopus and Web of Science. He has also participated in several national and international collaborative research projects, such as “IoT-based Smart Agriculture Monitoring Systems” and “Theory and Algorithms for Trust Evaluation in Mobile Social Networks.” Additionally, he serves as an organizing committee member for various international academic conferences, including IEEE TrustCom and SpaCCS.
Assoc.Prof. Mir Sajjad Hussain Talpur
Sindh Agriculture University
Speech title：Detection of Cyber Attacks Using Machine Learning Techniques
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