IAMG Days 2021
Farwell and see you in 2022 in Nancy
|11:30 am UTC||Introduction from the President||Prof. Peter Dowd|
|11:40 am UTC||Krumbein Medal 2020 lecture:||Prof. Jaime Gómez-Hernández|
|12:30 am UTC||John Cedric Griffiths Teaching Award 2020:||Prof. Gang Liu|
|13:20 am UTC||Information about IAMG2022:||Prof. Guillaume Caumon|
|11:30 am UTC||Short introduction from the moderator|
|11:35 am UTC||Felix Chayes Prize 2021:||Dr. Grethe Hystad|
|12:15 am UTC||Matheron Lecturer 2020:||Prof. Marc Genton|
|12:55 am UTC||Distinguished Lecturer 2020:||Prof. Peter Atkinson|
|Young Scientists presentations|
|11:30 am UTC||Short introduction from the moderator|
|11:35 am UTC||Founders Scholarship 2020:||Dr. Behnam Sadeghi|
|12:05 am UTC||Founders Scholarship 2021:||Dr. Shubin Zhou|
|12:35 am UTC||Vistelius Research Awards 2021||Dr. Francky Fouedjio|
|13:05 am UTC||Vistelius Research Awards 2021||Dr. Vanessa Godoy|
Jaime graduated as a civil engineer from the Technical University of Valencia, then moved to Stanford University, where he received graduate degrees in Applied Hydrogeology and Geostatistics. After his return to Spain, he joined the faculty of the Technical University of Valencia and became full professor in 2000. His research has revolved around subsurface characterization for groundwater modeling with a focus on deep underground nuclear waste disposal, contaminant source identification, and quantification of prediction uncertainty. He won the 1999 Valencia Government Prize for Waste Research and Technology, and the 2020 Prince Sultan bin Abdulaziz International Prize for Groundwater. In 2020, he was awarded the Krumbein Medal by the International Association of Mathematical Geosciences and is serving as their Distinguished Lecturer for 2021.
Talk title: The (short) history of contaminant source identification in aquifers
Scheduled: Monday, August 23rd, 11:40 UTC
Gang Liu received the Ph.D. degree in Earth Exploration and Information Technology from China University of Geosciences (CUG) in 2004. From 2006 to 2007, he stayed at the University of Ottawa, Canada as a post-doctorate fellow. He is an editorial board member of the International Journal of Oil, Gas and Coal Technology. He is a life-time member of IAMG and served as the Council Member of IAMG during 2012-2016. Now he is a professor in Geoscience Information Engineering at CUG and executive deputy director of Hubei Provincial Key Laboratory of Intelligent Geo-Information Processing. His research interests include geoscience big data, 3D geological information system and spatio-temporal data analysis in earth science. He has long been engaged in the construction and teaching of the major in spatial information and digital technology, which is in the field of the burgeoning interdiscipline regarding geosciences, computer science and informatics. In 2020, he received the John Cedric Griffiths Teaching Award from the International Association for Mathematical Geosciences.
Talk title: Knowledge Fusion: Practice on Education Mode for Compound Talents of Geological Information Technology!
Scheduled: Monday, August 23rd, 12:55 UTC
Dr. Grethe Hystad received her PhD in mathematics from the University of Arizona, USA, where her research concerned the computation of the correlation functions for the two-dimensional periodic Ising model. She completed her undergraduate degree in mathematics at the University of Oslo, Norway. She became an Assistant Professor of Statistics at Purdue University Northwest in 2015 and was promoted to Associate Professor in August 2021. Dr. Hystad’s recent research focuses on solving statistical problems in the new and emerging fields of mineral evolution and mineral ecology. In particular, she is working on applying statistics to the analysis of deep-time events (billions of years ago) that relate to the co-evolution of the geosphere and biosphere. This research effort is an ongoing collaboration with mineralogists, geoscientists, and data scientists from several academic institutions to characterize Earth in terms of the evolution of minerals. Dr. Hystad’s research has been published in a wide array of peer-reviewed scientific journals, including journals in mathematical geosciences, mathematical physics, Earth sciences, and mineralogy. In 2021, she was awarded the Felix Chayes Prize from the International Association for Mathematical Geosciences. She is an editorial board member of the journal Applied Computing and Geosciences.
Talk title: Data-Driven Discovery in Mineralogy: Modeling the Diversity and Distribution of Minerals on Earth and other Planets
Scheduled: Wednesday, August 25th, 11:35 UTC
Marc G. Genton received the Ph.D. degree in Statistics (1996) from the Swiss Federal Institute of Technology (EPFL), Lausanne. He is a Distinguished Professor of Statistics at the King Abdullah University of Science and Technology (KAUST) in Saudi Arabia. He is a fellow of the American Statistical Association (ASA), of the Institute of Mathematical Statistics (IMS), and the American Association for the Advancement of Science (AAAS), and is an elected member of the International Statistical Institute (ISI). In 2010, he received the El-Shaarawi award for excellence from the International Environmetrics Society (TIES) and the Distinguished Achievement award from the Section on Statistics and the Environment (ENVR) of the American Statistical Association. He received an ISI Service award in 2019 and the Georges Matheron Lectureship award in 2020 from the International Association for Mathematical Geosciences (IAMG). His research interests include statistical analysis, flexible modeling, prediction, and uncertainty quantification of spatio-temporal data, with applications in environmental and climate science, renewable energies, geophysics, and marine science.
Talk title: From Matheron’s Theory of Regionalized Variables to Exascale Geostatistics
Scheduled: Wednesday, August 25th, 12:15 UTC
Peter is Distinguished Professor of Spatial Data Science and Executive Dean of the Faculty of Science and Technology at Lancaster University. Peter is also Visiting Professor at the University of Southampton, Southampton, UK and the Chinese Academy of Sciences, Beijing, China Peter’s research focus is in spatial data science, with four significant themes in (i) spatial epidemiology of vector-borne disease transmission systems, including Trypanosomiasis and malaria, (ii) remote sensing of global changes in vegetation phenology and its climate drivers, (iii) spatial modelling of natural hazards and their impacts, including flood forecasting and landslide susceptibility mapping and (iv) remote sensing image downscaling and image fusion, based on explicit models of the space-time sampling framework. Peter is a Fellow of the Learned Society of Wales (FLSW) and the 2020 Distinguished Lecturer of the International Association of Mathematical Geosciences. He is also the 2016 Laureat of the Peter Burrough Medal of the International Spatial Accuracy Research Association (ISARA), recipient of the Belle van Zuylen Chair at Utrecht University in 2015-16, and was Visiting Fellow at Green-Templeton College, Oxford University in 2012-14.
Talk title: The Importance of Representations for Spatial Data Science
Scheduled: Wednesday, August 25th, 12:55 UTC
Behnam was awarded his PhD in Geosciences from the University of New South Wales (UNSW), Sydney, in June 2020. His PhD thesis was entitled “Quantification of Uncertainty in Geochemical Anomalies in Mineral Exploration”, supervised by Prof. David Cohen, and involved development of new approaches to geochemical anomaly classification and decision-making using data from a number of regional geochemical datasets (Sweden, Cyprus, and Turkey). Then he was employed by the EarthByte Group at the University of Sydney, under Prof. Dietmar Müller, as a Postdoctoral Researcher and Technical Software Supporter in the development of GPlates and pyGPlates software. He has also been involved in improving the Australian Research Council funded Basin Genesis Hub (BGH) Atlas project within the same research group, collaborating with national and international industry partners such as Chevron, Geoscience Australia, and Scripps Institution of Oceanography. His recent research is mostly focused on advanced (simulated)fractal/multifractal classification model development and decision-making based on their relevant uncertainties, applied to exploration geochemistry. Keeping his long term international industry experience as well as his newly updated position in EarthByte Group as an Adjunct Research Fellow, he has recently joined the mining exploration industry in Perth, Western Australia. He has substantial experience with GIS and geospatial analysis, mathematical geosciences (fractal/multi-fractal modeling), geostatistics and uncertainty quantification, all integrated with exploration, urban and environmental geochemistry. He also has some experience in remote sensing and geothermal energy. Behnam was placed in the top 4 and top 3 in the "Esri Young Scholars Award" national competition in Australia, respectively in 2019 and 2020. Moreover, he is the Associate Editor of journals ‘Ore Geology Reviews’, ‘Geochemistry/Chemie der Erde’, and ‘Ore and Energy Resource Geology’, and the Editorial Board of journals ‘Earth Science Informatics’ and ‘Mining’. Behnam is the first recipient of "Founders Scholarship" award of the International Association for Mathematical Geosciences (IAMG)-2020.
Talk title: All models are wrong, but what “some” are useful?
Scheduled: Friday, August 27th, 11:35 UTC
Dr. Shubin Zhou is currently a member of Professor Qiuming Cheng’s research group. He received a Bachelor degree in Resources Exploration Engineering at Northeastern University in 2014. He obtained his Master degree and Ph.D degree in Mineral Prospecting and Exploration at China University of Geosciences, Beijing (CUGB) in 2017 and 2021, respectively. His doctoral thesis was awarded as “CUGB - Excellent Doctorate Thesis” in 2021. Shubin’s research mainly focus on determination of elemental distribution and migration in Earth systems using X-ray fluorescence (XRF) techniques including portable XRF (pXRF) and micro-XRF, with emphasis on XRF data calibration. His recent research is focused on biogeochemical responses of vegetations to soil characteristics, aiming to provide insights into mineral prospecting and environmental assessment. During his Ph.D study, Shubin has received many research grants and scholarships, including a CUGB - International Scientific Research Grant, an IAMG-Natural Resources Research Student Research Grant, a National Scholarship for Doctoral Students awarded by Chinese government, and most recently a Founders Scholarship awarded by IAMG in 2021.
Talk title: Tree stumps as “bioindicators” of metallic pollution caused by road dust resuspension and deposition in mining areas
Scheduled: Friday, August 27th, 12:05 UTC
Francky received a Bachelor of Engineering in Applied Statistics at the Institute of Statistics and Applied Economics (Cameroon). He obtained a Master of Science by Research in Statistical Information Processing from Paris Dauphine University (France) and a Master of Science in Statistics and Econometrics from Toulouse 1 University Capitole (France). He earned a Ph.D. in Geostatistics from MINES ParisTech (France) and subsequently completed his postdoctoral studies in Data Science, Geostatistics, and Uncertainty Quantification at Stanford University (USA). Francky’s research interest focuses on developing and implementing advanced geostatistical, statistical, machine learning, and uncertainty quantification methods to solve complex real-world problems in geosciences. Francky is currently a data scientist at AngloGold Ashanti in Australia. Before joining AngloGold Ashanti, he occupied Research Scientist positions at Stanford University (USA) and CSIRO Mineral Resources (Australia). He is the recipient of the Andrei Borisovich Vistelius Research Award 2021.
Talk title: Exact Conditioning of Random Forest for Spatial Prediction
Scheduled: Friday, August 27th, 12:35 UTC
Vanessa is a researcher in Stochastic Hydrogeology at the Research Institute for Water and Environmental Engineering of the Technical University of Valencia, Spain, within the Group of Hydrogeology. In the last years, she focused on the analysis of heterogeneity of different parameters that control water flow and mass transport in a tropical soil, with particular emphasis on its behavior at different scales. She performed field, laboratory, and numerical studies with the aim of bringing the concepts of uncertainty quantification and scale effect to the practice of geoenvironmental studies. Recently, she is investigating the use of machine learning coupled to inverse methods to improve aquifer characterization. She is also working on the use of smart modeling in hydrogeology. Vanessa Godoy earned a bachelor’s degree in Environmental Management at the University of São Paulo, Brazil, and a double PhD in Geotechnical Engineering and Hydrogeology in 2018 from University of São Paulo and Polytechnic University of Valencia. Her doctoral thesis was awarded in 2019 with the honorable mention in the field of engineering in the “University of Sao Paulo Highlighted Thesis Award”. In 2019 and 2020 she was awarded a highly competitive fellowship for women from developing and emerging economies granted by the Schlumberger Foundation.
Talk title: Scale effect on water flow and mass transport parameters in a tropical soil: field, laboratory and numerical studies
Scheduled: Friday, August 27th, 13:05 UTC