IEEE Geoscience and Remote Sensing Magazine - December 2021 - 164

Processing in Earth Observation research group, TUM, and
IMF-DLR, working on the automatic positioning of ground
control points from multiview radar images. He is currently
a senior researcher in the Department of Earth Observation
Data Science, IMF-DLR, focused on developing machine
learning algorithms applied to radar imagery. His research
interests include advanced interferometric SAR techniques
for the deformation monitoring of urban infrastructure,
image and signal processing relevant to radar imagery, and
applied machine learning. He received the DLR Science
Award and the IEEE Geoscience and Remote Sensing Society
Transactions Prize Paper Award, in 2016 and 2017, respectively,
for his work on geodetic SAR tomography.
Mohsin Ali (syed.ali@dlr.de) received his B.S. degree
in computer engineering from the National University of
Science and Technology, Islamabad, Pakistan, in 2013 and
his M.S. degree in computer science from the University of
Freiburg, Freiburg, Germany, in 2018. He is a Ph.D. degree
candidate at the Earth Observation Center, German Aerospace
Center, Wessling, 82234. Germany, supervised by
Prof. Xiao Xiang Zhu. His research interests include uncertainty
estimation in deep learning models for remote sensing
applications.
Yuansheng Hua (yuansheng.hua@dlr.de) received his
B.S. degree in remote sensing science and technology from
Wuhan University, Wuhan, China, in 2014 and his M.S. degree
in Earth-oriented space science and technology from
the Technical University of Munich (TUM), Munich, Germany,
in 2018. He is pursuing his Ph.D. degree at the German
Aerospace Center, Wessling, 82234, Germany, and at
TUM. In 2019, he was a visiting researcher at Wageningen
University and Research, Wageningen, The Netherlands.
His research interests include remote sensing, computer
vision, and deep learning, especially their applications in
remote sensing. He is a Student Member of IEEE.
Yuanyuan Wang (y.wang@tum.de) received his B.Eng.
degree, with honors, in electrical engineering from Hong
Kong Polytechnic University, Hong Kong, China, in 2008,
and his M.Sc. and Dr. Ing. degrees from the Technical University
of Munich (TUM), Munich, Germany, in 2010 and
2015, respectively. In June and July 2014, he was a guest
scientist at the Institute of Visual Computing, ETH Zürich,
Zürich, Switzerland. He is currently with the Department of
Earth Observation Data Science, Remote Sensing Technology
Institute, German Aerospace Center, Wessling, 82234,
Germany, where he leads the Big SAR Data working group.
He is also a guest member of the Professorship of Data Science
in Earth Observation, TUM, where he supports the scientific
management of European Research Council projects
So2Sat and AI4SmartCities. His research interests include
optimal and robust parameter estimation in multibaseline
interferometric synthetic aperture radar (SAR), multisensor
fusion algorithms of SAR and optical data, nonlinear optimization
with complex numbers, machine learning in SAR,
and high-performance computing for big data. He serves
as a reviewer for multiple IEEE Geoscience and Remote
164
Sensing Society and other remote sensing journals, and he
was named one of the best reviewers of IEEE Transactions on
Geoscience and Remote Sensing, in 2016. He is an associate
editor of the Royal Meteorological Society's Geoscience Data
Journal. He is a Member of IEEE.
Lichao Mou (lichao.mou@dlr.de) received his B.S. degree
in automation from the Xi'an University of Posts and Telecommunications,
Xi'an, China, in 2012; his M.S. degree in
signal and information processing from the University of the
Chinese Academy of Sciences, Beijing, China, in 2015; and
his Dr.-Ing. degree from the Technical University of Munich
(TUM), Munich, Germany, in 2020. He is a guest professor at
the Munich AI Future Lab AI4EO, TUM, and the head of the
Visual Learning and Reasoning team, Department of Earth
Observation Data Science, Remote Sensing Technology Institute
(IMF), German Aerospace Center (DLR), Wessling,
82234, Germany. Since 2019, he has been an artificial intelligence
consultant for the Helmholtz Artificial Intelligence
Cooperation Unit of the Helmholtz Association of Germany.
In 2015, he spent six months at the Computer Vision
Group, University of Freiburg, Freiburg, Germany. In 2019
he was a visiting researcher at the Cambridge Image Analysis
Group, University of Cambridge, Cambridge, U.K. From
2019 to 2020, he was a research scientist at IMF-DLR. He
was the first-place winner of the 2016 IEEE GRSS Data Fusion
Contest and a finalist for the Best Student Paper Award
at the Joint Urban Remote Sensing Event, in 2017 and 2019.
He is a Member of IEEE.
Yilei Shi (yilei.shi@tum.de) received his Dipl.-Ing. degree
in mechanical engineering and his Dr.-Ing. degree in engineering
from the Technical University of Munich (TUM),
Germany. In April and May 2019, he was a guest scientist
in the Department of Applied Mathematics and Theoretical
Physics, University of Cambridge, Cambridge, U.K. He is
currently a senior scientist with the Chair of Remote Sensing
Technology, TUM, Munich, 82024, Germany. His research
interests include computational intelligence; fast-solver and
parallel computing for large-scale problems; advanced methods
for synthetic aperture radar (SAR) and interferometric
SAR processing; machine learning and deep learning for a
variety data sources, such as SAR, optical images, medical
images, and so on; and partial differential equation-related
numerical modeling and computing. He is a Member of IEEE.
Feng Xu (fengxu@fudan.edu.cn) received his B.E. degree,
with honors, in information engineering from Southeast
University, Nanjing, China, in 2003 and his Ph.D. degree,
with honors, in electronic engineering from Fudan
University, China, in 2008. From 2008 to 2010, he was a
postdoctoral fellow at the National Oceanic and Atmospheric
Administration Center for Satellite Application
and Research, Camp Springs, Maryland, USA. From 2010
to 2013, he was with Intelligent Automation, Rockville,
Maryland, USA, and with the NASA Goddard Space Flight
Center, Greenbelt, Maryland, USA, as a research scientist.
In 2012, he was selected for China's Global Experts Recruitment
Program and subsequently returned to Fudan
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE DECEMBER 2021
IEEE Geoscience and Remote Sensing Magazine - December 2021

Table of Contents for the Digital Edition of IEEE Geoscience and Remote Sensing Magazine - December 2021
