报告题目： Machine learning applications for ground based and airborne transient electromagnetic data
报 告 人：Dr. Muhammad Rizwan Asif
报告时间：Sep 3rd, 2021 3:00 p.m. - 4:00 p.m.
会议ID： 690 991 788
会议链接：https://meeting.tencent.com/dm/qdhAI4mzsf2n
报告人简历：
Muhammad Rizwan Asif is working as a postdoctoral researcher with the Hydrogeophysics Group (HGG) at the Department of Geoscience, Aarhus University to develop machine learning solutions for geophysical data. Currently, he is working on combining neural networks in the inversion workflows of ground-based and airborne EM data. He is also developing solutions for automated processing of transient EM data. Integrating machine learning in these technologies could play a critical role in making the technology user-friendly, easy to use and widely available to the masses. He is also working with DCIP and NMR data.
Mr. Asif received his M.S. and PhD in information and communication engineering from Xi’an Jiaotong University in 2016 and 2019, respectively. He is a reviewer for various journals, e.g., Computers & Geosciences, Journal of Applied Geophysics, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, etc.
吉林大学
地球探测科学与技术学院
2021年8月30日
