Dr. John Schmalzel
Dr. John Schmalzel, full professor at Rowan University, Glassboro, New Jersey, and a Fellow of the IEEE. He is the founding EiC of the journal.
- Founding Chair of the Electrical and Computer Engineering (ECE) department at Rowan University as part of the start-up engineering program enabled by the Henry & Betty M. Rowan endowment. Assembled a faculty team of eight, designed facilities/laboratories and the curriculum for an innovative program whose hallmarks include an 8-semester Engineering Clinic sequence and pervasive laboratory complement to coursework. ABET accreditation received on first application in both Computer Engineering and Electrical Engineering elements of the single-degree track ECE Program. Program objectives build on core ECE content to also include communication skills, multidisciplinary team work, and entrepreneurship. Graduates recognized for their unique ability to rapidly tackle new problems and develop solutions. Over 35% of graduates have continued on to graduate studies
- IEEE P21451-1 WG Chair
- Provided technical contributions and leadership to the ISHM development group at John C. Stennis Space Center beginning with research collaborations on smart/intelligent sensors from the university environment and culminating in a 3-year IPA assignment to Stennis. Extended suite of ISHM technologies to primary application to monitoring of rocket engine test stands, and to center-wide emergency monitoring system. Proposed and led the development of a smart and intelligent sensor payload (SiSP) in support of the Max launch abort system (MLAS) demonstration vehicle project by NASA Engineering and Safety Center (NESC) (http://www.nasa.gov/exploration/multimedia/galleries/mlas-gallery.html )
- Developed a wide range of coursework at the undergraduate and graduate levels that include foundation courses (e.g., electronics, digital systems, core laboratory) and specialized courses in my interest areas (smart sensors, ISHM, etc.). Course development also includes short courses for delivery to industrial customers to meet unique requirements
- Function well in highly multidisciplinary teams on projects involving collaborators from diverse backgrounds including business, other engineering disciplines, computer science, medicine, physics, etc.
- Actively involved in professional societies; held several executive-level positions in the IEEE Instrumentation & Measurement Society. Active conference organizer (I2MTC, SiCon, SAS)
Society: Systems Council
John Blyler is a technology professional with expertise in multi-discipline Systems Engineering, technical program life-cycle management (PLM), content development and customer-facing projects. He is an experienced physicist, engineer, manager, journalist, text-book author and professor who continues to speak at major conferences and before the camera. John has many years of experience leading interdisciplinary (mechanical-electronic, hardware-software) engineering teams in both the commercial and Mil/Aero, semiconductor and electronics industries. Additionally, he has served as an editor-in-chief for technical trade journals and the IEEE professional engineering society publications. He was the founding advisor and affiliate professor for Portland State University’s online graduate program in systems engineering. Finally, John has co-authored several books on systems engineering, RF-Wireless design, automotive hardware-software integration for Wiley, Elsevier, IEEE and SAE. He holds a BS in Engineering Physics from Oregon State Univ. and an MS in EE from California State Univ., Northridge.
Society: Systems Council
Society: Geoscience and Remote Sensing Society
Farid Melgani (M’04–SM’06–F’16) received the State Engineer degree in electronics from the
University of Batna, Algeria, in 1994, the M.Sc. degree in electrical engineering from the
University of Baghdad, Iraq, in 1999, and the Ph.D. degree in electronic and computer engineering
from the University of Genoa, Italy, in 2003.
From 1999 to 2002, he cooperated with the Signal Processing and Telecommunications Group,
Department of Biophysical and Electronic Engineering, University of Genoa. Since 2002, he has
been an Assistant Professor and then an Associate Professor of telecommunications at the
University of Trento, Italy, where he has taught pattern recognition, machine learning, radar
remote-sensing systems, and digital transmission. He is the Head of the Signal Processing and
Recognition (SPR) Laboratory, Department of Information Engineering and Computer Science,
University of Trento. His research interests are in the areas of remote sensing, UAVs, signal/image
processing/analysis, pattern recognition, machine learning and computer vision. He is coauthor of
more than 200 scientific publications and is a referee for numerous international journals.
Dr. Melgani has served on the scientific committees of several international conferences and is
currently an Associate Editor of the IEEE Transactions on Geoscience and Remote Sensing, and
International Journal of Remote Sensing.
Society: Aerospace and Electronic Systems Society
Peter Willett received his B.A.Sc. (engineering science) from the University of Toronto in 1982, and his Ph.D. degree from Princeton University in 1986. He has been a faculty member at the University of Connecticut ever since, and since 1998 has been a Professor. His primary areas of research have been statistical signal processing, detection, machine learning, data fusion and tracking. He also has interests in and has published in the areas of change/abnormality detection, optical pattern recognition, communications and industrial/security condition monitoring. He is an IEEE Fellow, and is presently Chief Editor of the AESS Magazine. He was editor-in-chief of IEEE Signal Processing Letters (2014-2016), editor-in-chief for IEEE Transactions on Aerospace and Electronic Systems (2006-2011), and Vice President for Publications for AESS (2012-2014). He was Chair of IEEE SPS SAM-TC and is an AESS BoG member. He was General Co-Chair for the 2006 IEEE/ISIF Fusion Conference in Florence, 2008 in Cologne and 2011 in Chicago, and IEEE SPS SAM 2018 in Sheffield.
Society: Geoscience and Remote Sensing Society
Lori Mann Bruce is a Provost and Vice President for Academic Affairs at Tennessee Tech University. Dr.
Bruce is responsible for providing leadership and academic oversight of eight academic divisions
comprised of 41 bachelors and 32 graduate degree programs.
Prior to her current position, Dr. Bruce has served as Associate Vice President for Academic
Affairs and Dean of the Graduate School at Mississippi State University, Associate Dean for Research
and Graduate Studies in the Bagley College of Engineering, Director of the Raspet Flight Research
Center, Associate Director of the Geosystems Research Institute, and Professor of Electrical and
Computer Engineering. As Associate Dean for the Bagley College of Engineering at Mississippi State
University, her responsibilities included providing leadership and administrative management of all
research activities, graduate programs, distance education programs, and industrial outreach and
economic development activities. During her time as Associate Dean, the research intensive
engineering college ranking by the U.S. National Science Foundation was raised to the top 10% of
engineering colleges in the U.S. in terms of its annual research expenditures.
As a faculty member, her graduate teaching and research endeavors have been focused on
hyperspectral remote sensing. She has served as the Principal Investigator or Co-PI on more than 20
funded research grants and contracts, totaling approximately $20 million from federal agencies. As a
faculty member, she has taught 45 sections of 17 different engineering courses and has successfully
advised, as major professor or thesis/dissertation committee member, 75 Ph.D. and Master’s students.
Her research has resulted in over 130 refereed publications. Her research in remote sensing for
agricultural and environmental applications has been presented to audiences across the US and in 15
Over the past 17 years, she has served the IEEE Geoscience and Remote Sensing Society (GRSS)
on numerous conference and technical committees. She has served on the IGARSS Technical
Committee, serving as a paper reviewer, session organizer, and session chair. She has also served the
GRSS as Chair of the GRSS Technical Committee on Data Fusion, as Co-chair of the GRSS International
Data Fusion Contest, on the Organizing Committee of the IEEE Multi-Temp International Workshop,
and as a plenary speaker, technical reviewer, and session chair for WHISPERS. She currently serves on
the GRSS Administrative Committee (AdCom) as Chair of the Underrepresented Committee, as the lead
organizer for the 2017 GR4S (Summer School) and is serving as the Education and Outreach Chair for
the organizing team of IGRARSS 2017 to be held in Fort Worth, TX in July 2017.
Choon Ki Ahn, Ph.D
Choon Ki Ahn (M’06-SM’12) received the Ph.D. degree from Seoul National University, Seoul, Korea, in 2006. He is currently a Crimson Professor of Excellence with the College of Engineering and a Full Professor with the School of Electrical Engineering, Korea University, Seoul, Korea. In 2016, he was ranked #1 in Electrical/Electronic Engineering among Korean young professors. In 2017, he received the Presidential Young Scientist Award of Korea.
His research interests are intelligent control and estimation with applications to autonomous drones and vehicles based on artificial intelligence and machine learning. He serves on the Editorial Board for the Aerospace Science and Technology; IEEE Systems, Man, and Cybernetics Magazine; IEEE Transactions on Systems, Man, and Cybernetics: Systems; IEEE Systems Journal; IEEE/CAA Journal of Automatica Sinica; IEEE Access; Nonlinear Dynamics; Artificial Intelligence Review; Knowledge and Information Systems; Neurocomputing; Neural Computing and Applications; International Journal of Fuzzy Systems; and International Journal of Machine Learning and Cybernetics.
Space Systems Engineer, Alessandro Golkar is Associate Professor at the Skolkovo Institute of Science and Technology (Skoltech), an international research university in Moscow, Russia, founded in 2011 in collaboration with the Massachusetts Institute of Technology (MIT). Since 2017, Alessandro Golkar is on leave from Skoltech as Vice President Concurrent Engineering (Technology Planning and Roadmapping) at the Airbus Corporate Technology Office (CTO) in Toulouse, France. His research looks at new ways for looking at complex systems architecting problems, understanding the evolution of technology, and developing research and demonstrators of novel space mission concepts and spacecraft payload systems.
Juan Mario Haut
Society: Geoscience and Remote Sensing Society
Juan Mario Haut is a member of the Hyperspectral Computing Laboratory at the Department of Technology of Computers and Communications, University of Extremadura, where he received the B.Sc and M.Sc. degrees in computer engineering in 2011 and 2014, respectively, and the Ph.D. degree in Information Technology in 2019 with an University Teacher Training Programme from the Spanish Ministry of Education. His research interests include remote sensing and analysis of very high spectral resolution with the current focus on machine (deep) learning and cloud computing. Dr. Haut has been reviewer for the IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, and IEEE Geoscience and Remote Sensing Letters, and he was a recipient of the Best Reviewers recognition of the IEEE Geoscience and Remote Sensing Letters in 2018 and the Outstanding Paper Award in WHISPERS 2019 congress.
Society: Geoscience and Remote Sensing Society
Xudong Kang (S’13-M’15-SM’17) is an Associate Professor at the college of electrical engineering of Hunan University, Changsha, China. He is also the Vice director of Hunan Key Laboratory of visual perception and artificial intelligence. His research interest includes remote sensing image processing, multi-modal imaging and processing systems. Dr. Kang was the Associate Editor of IEEE Transactions on Geoscience and Remote Sensing (2018-2019), and IEEE Geoscience and Remote Sensing Letters (2018-now). He received the National Nature Science Award of China (Second Class) in 2019. He was also selected as the Outstanding Reviewer for IEEE Geoscience and Remote Sensing Letters in 2016 and Best Reviewer for IEEE Transactions on Geoscience and Remote Sensing in 2017 and 2018.
Society: Geoscience and Remote Sensing Society
Dr. Lei Deng received the B.S. degree in cartography from Wuhan University, Wuhan, China, in 1998, and the Ph.D. degree in cartography and geography information system from Beijing Normal University, Beijing, China, in 2007. He was a postdoctoral researcher with School of Environment, Beijing Normal University from 2007 to 2009, and he joined Capital Normal University as an Associate Professor in 2009. In 2012, he was a visiting scholar at the Department of Geography, University of Missouri, Columbia, Missouri, USA. Currently, he is a Professor at College of Resource Environment and Tourism, Capital Normal University. His research interests include UAV-based remote sensing and photogrammetry, image processing and polarimetric SAR remote sensing. Recent research topics include calibration and evaluation of miniature multi- and hyper-spectral imager, UAV-based remotely sensed data acquisition, processing, information extraction and applications in 3D modeling, agriculture and environment.
Baochang Zhang received the B.S., M.S. and Ph.D. degrees in Computer Science from Harbin Institute of the Technology, Harbin, China, in 1999, 2001, and 2006, respectively. From 2006 to 2008, he was a research fellow with the Chinese University of Hong Kong, Hong Kong, and with Griffith University, Brisbane, Australia. From 2014 to 2015, he was a senior Postdoc position in Italian Institute of Technology, Italy. Currently, he is tenured associate professor with the Science and Technology on Aircraft Control Laboratory, School of Automation Science and Electrical Engineering, Beihang University, Beijing, China. He was supported by the Program for New Century Excellent Talents in University of Ministry of Education of China. He was selected as a distinguished researcher of Beihang Hangzhou Institute in Zhejiang Province in 2018. He was selected as Academic Advisor of Institute of Deep Learning, Baidu Research in 2019. His HGPP and LDP methods are “Test-of-Time” works with over 1600 times citations. His group developed the 1-bit BONNs, which achieved the best performance on ImageNet. He is an Associate Editor of SCI journals International Journal of Advanced Robotic Systems, and the Sensors journal. He is a program member of top conferences CVPR, NeurIPS, ICCV, AAAI, IJCAI. He has four papers selected as best papers in international conferences. His current research interests include deep learning, UAV path planning, object detection and tracking, neural architecture search, 1-bit deep models and video analysis.
Chen Chen received the B.E. degree in automation from Beijing Forestry University, Beijing, China, in 2009 and the MS degree in electrical engineering from Mississippi State University, Starkville, in 2012 and the PhD degree in the Department of Electrical Engineering at the University of Texas at Dallas, Richardson, TX in 2016. He held a Postdoctoral Research Associate position at the Center for Research in Computer Vision (CRCV), University of Central Florida, from July 2016 to June 2018. He is currently an Assistant Professor in the Department of Electrical and Computer Engineering at University of North Carolina at Charlotte. He received the David Daniel Fellowship Award (Best Doctoral Dissertation Award for ECS) from University of Texas at Dallas in 2016. His research interests include signal and image processing, computer vision, and deep learning. He published over 80 papers in refereed journals and conferences in these areas. He served as TPC member and the reviewer for various conferences (e.g., ICIP, ICASSP, ECCV, ICML, ICCV, CVPR, etc.). He is also an active reviewer for several prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), IEEE Transactions on Geoscience and Remote Sensing (T-GRS), the IEEE Transactions on Image Processing (T-IP), IEEE Transactions on Multimedia (T-MM), IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT). He is an Associate Editor of Journal of Real-Time Image Processing and Neurocomputing.
Gong Cheng received the B.S. degree from Xidian University, Xi’an, China, in 2007, and the M.S. and Ph.D. degrees from Northwestern Polytechnical University, Xi’an, China, in 2010 and 2013, respectively. He is currently a Professor with Northwestern Polytechnical University, Xi’an, China. His main research interests include remote sensing image understanding, deep learning, computer vision, and pattern recognition. He has published more than 50 papers on top journals and top conferences, including Proceedings of the IEEE, IEEE Signal Processing Magazine, IEEE T-PAMI, IEEE T-IP, IEEE T-GRS, IEEE CVPR, and IJCAI et al. He is an Associate Editor of IEEE Geoscience and Remote Sensing Magazine (2019-now), a Guest Editor of IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2020), and an Editorial Board Member of ISPRS Journal of Photogrammetry and Remote Sensing (2019-now).
Hyuk Park (S’05–AM’09–M’12-SM’15) was born in South Korea. He received the B.S. degree in mechanical engineering from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, in 2001 and the M.S. and Ph.D. degrees in information and mechatronics from Gwangju Institute of Science and Technology (GIST), Gwangju, Korea, in 2003 and 2009, respectively. In 2009, he joined the Remote Sensing Group, Polytechnic University of Catalonia (UPC), Barcelona, Spain, as a Postdoctoral Researcher. In 2011, he was a grant holder of the National Research Foundation funded by the Korean Government. Since 2012, he has been working as a Research Associate with a Juan de la Cierva grant funded by the Spanish Ministry of Economy and Competitiveness. He was the awardee of Chong-Hoon Cho Aerospace Engineering Award in 2019. He is currently working with the School of Telecommunications and Aerospace Engineering at Castelldefels (EETAC-UPC) as a Ramon y Cajal Fellow / Tenure-track Assistant Professor. He is also working with the Passive Remote Sensing Group, UPC, for satellite remote sensing for microwave radiometry and Global Navigation Satellite Systems reflectometry. His main research interest is in the area of remote sensing, particularly passive microwave remote sensing, including system design, modeling and simulation, image processing, and small satellite applications. Working with CommSensLab -Passive Remote Sensing Group (https://prs.upc.edu/) and NanoSatLab (https://nanosatlab.upc.edu/en) in UPC, he has participated in the research projects of Earth Observation and CubeSat applications.
Lin He (S’05–M’12) received the B.S. degree from the Xi’an Institute of Technology, China, in 1995, the M.S. degree from Chongqing University, Chongqing, China, in 2003, and the Ph.D. degree from Northwestern Polytechnical University, Xi’an, China, in 2007. Since 2007, he has been with the School of Automation Science and Engineering, South China University of Technology, Guangzhou, China, where he is currently an Associate Professor. His current research interests include hyperspectral image processing and UAV-based remote sensing image processing.
Liqiang Zhang is a full professor of the State Key Laboratory of Remote Sensing Sciences, Faculty of Geographical Science, Beijing Normal University, Beijing, China, where he has been leading several scientific projects in the remote sensing area. Dr. Zhang joined Beijing Normal University after he received the Ph.D. degree in Cartography and Geographic Information Science from Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China in 2014, and since 2010 has been a Professor. His research interests include remote sensing image/LiDAR processing, machine learning, spatio-temporal analysis, and data fusion and tracking. He has authored more than 60 papers in the following journals and conferences: Nature Communications, Nature Sustainability, TGRS, ISPRS J. Photogramm. Remote Sens., TMM, TVCG, IEEE JSTARS, IJGIS, and ICCV. Dr. Zhang was a recipient of the National Science Foundation for Distinguished Young Scholars of China in 2019 for his special achievements in optical remote sensing images/LiDAR parsing. He also received Gold Medal at Geneva International Invention Exhibition (2018), Surveying And Mapping Science and Technology Progress Award (First Prize, 2016), ERDAS Award for Best Scientific Paper in Remote Sensing (American Society for Photogrammetry and Remote Sensing, 2015), and Wu Wenjun Artificial Intelligence Science and Technology Innovation Award (First Prize, 2014).
Peng Ren received the BEng and MEng degrees both in electronic engineering from Harbin Institute of Technology, China, and PhD in computer science from the University of York, UK. He is currently a full professor with the College of Oceanography and Space Informatics, China University of Petroleum (East China). He is the director of Shandong Youth Innovative Team of offshore unmanned observation and also the director of Qingdao International Research Center for Intelligent Forecast and Detection of Oceanic Catastrophes. He received the K. M. Scott Prize from the University of York, the Natural Science award (first rank) from China Institute of Electronics, and the Eduardo Caianiello Best Student Paper Award from 18th International Conference on Image Analysis and Processing as one co-author. His research interests include remote sensing with machine learning, unmanned vehicle observation, and on-orbit FPGA computation, etc.
Ping Zhong (M’ 09-SM’ 18) received the M.S. degree in applied mathematics and the Ph.D. degree in information and communication engineering from the National University of Defense Technology (NUDT), Changsha, China, in 2003 and 2008, respectively. He is currently a Professor with National Key Laboratory of Science and Technology on ATR, NUDT. From March 2015 to February 2016, he was a Visiting Scholar in the Department of Applied Mathematics and Theory Physics, University of Cambridge, UK. His research interests include satellite and UAV based remote sensing image analysis and applications, computer vision, machine learning, and pattern recognition. He was the recipient of the National Excellent Doctoral Dissertation Award of China and New Century Excellent Talents in University of China.
Shuanggen Jin is a Professor and Dean at Nanjing University of Information Science and Technology, China and also with Professor at Shanghai Astronomical Observatory, CAS, Shanghai, China. His main research areas include Satellite Navigation, Remote Sensing, Space Geodesy and Space/Planetary Exploration. He has over 400 papers in international peer-reviewed journals and Proceedings, 10 patents/software copyrights and 10 books/monographs with more than 6000 citations and H-index>40. Prof. Jin has been President of International Association of Planetary Sciences (IAPS) (2015-2019), President of the International Association of CPGPS (2016-2017), Chair of IUGG Union Commission on Planetary Sciences (UCPS) (2015-2023), Vice-President of the IAG Commission (2015-2019), Editor-in-Chief of International Journal of Geosciences, Editor of Geoscience Letters, Associate Editor of IEEE Transactions on Geoscience and Remote Sensing and Journal of Navigation, Editorial Board member of Remote Sensing, GPS Solutions and Journal of Geodynamics. He has received one first-class and four second-class Prizes of Provincial Awards, 100-Talent Program of CAS, Leading Talent of Shanghai, IAG Fellow, IUGG Fellow, Member of Russian Academy of Natural Sciences, Member of European Academy of Sciences, and Member of Academia Europaea.
Dr. Weitao Chen received the Ph.D. degree from China University of Geosciences, Wuhan, China, in 2012. He is currently an Associate Professor at the school of computer science of China University of Geosciences, Wuhan, China. From March 2015 to March 2016, he was a visiting scholar at the Department of Water Resources (WRS), ITC, Enschede, Netherlands. His research interest includes remote sensing science and application, especially in Intelligent interpretation of remote sensing based on machine learning and deep learning in resources and Environment Remote Sensing field. He received the National Nature Science Award of China in 2013 and 2019, and National Key Research and Development Project (2017-now). He was invited as the Reviewer for several related to remote sensing journals.
Wen Yang (M’09-SM’16) received his B.S. degree in electronic apparatus and surveying technology, the M.Sc. degree in computer application technology and the Ph.D. degree in communication and information system from Wuhan University, Wuhan, China, in 1998, 2001 and 2004, respectively. From 2008 to 2009, he worked as a visiting scholar with the AI (Apprentissage et Interfaces) team of the Laboratoire Jean Kuntzmann(LJK) in Grenoble, France. From 2010 to 2013, he worked as a post-doctoral researcher with the State Key Laboratory of Information Engineering, Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, China. Since then, he has been a full professor at the School of Electronic Information, Wuhan University. His research interests include object detection and recognition, semantic segmentation and change detection, multi-sensor information fusion with applications to UAV-based remote sensing.
Dr. Zhou Zhang received her B.S degree in astronautics engineering and M.S. degree in instrumentation science and opto-electronics engineering from Beihang University, Beijing, China, in 2010 and 2013, respectively. Then, she got her Ph.D. degree in 2017 from geomatics, civil engineering at Purdue University, USA. She is currently an Assistant Professor in Biological Systems Engineering and Electrical and Computer Engineering at the University of Wisconsin-Madison, USA. Her research interests include UAV-based imaging platform developments for precision agriculture, high-throughput image-based plant phenotyping, multi-source remote sensing data fusion, machine learning and its related applications to remote sensing data.
Houbing Song (M’12–SM’14) received the Ph.D. degree in electrical engineering from the University of Virginia, Charlottesville, VA, in August 2012, and the M.S. degree in civil engineering from the University of Texas, El Paso, TX, in December 2006. In August 2017, he joined the Department of Electrical Engineering & Computer Science, EmbryRiddle Aeronautical University, Daytona Beach, FL, where he is currently an Assistant Professor and the Director of the Security and Optimization for Networked Globe Laboratory (SONG Lab, www.SONGLab.us). He served on the faculty of West Virginia University from August 2012 to August 2017. In 2007 he was an Engineering Research Associate with the Texas A&M Transportation Institute. He has served as an Associate Technical Editor for IEEE Communications Magazine (2017-present), an Associate Editor for IEEE Internet of Things Journal (2020-present) and a Guest Editor for IEEE Journal on Selected Areas in Communications (J-SAC), IEEE Internet of Things Journal, IEEE Transactions on Industrial Informatics, IEEE Sensors Journal, IEEE Transactions on Intelligent Transportation Systems, and IEEE Network. He is the editor of six books, including Big Data Analytics for Cyber-Physical Systems: Machine Learning for the Internet of Things, Elsevier, 2019, Smart Cities: Foundations, Principles and Applications, Hoboken, NJ: Wiley, 2017, Security and Privacy in Cyber-Physical Systems: Foundations, Principles and Applications, Chichester, UK: Wiley-IEEE Press, 2017, Cyber-Physical Systems: Foundations, Principles and Applications, Boston, MA: Academic Press, 2016, and Industrial Internet of Things: Cybermanufacturing Systems, Cham, Switzerland: Springer, 2016. He is the author of more than 100 articles. His research interests include cyberphysical systems, cybersecurity and privacy, internet of things, edge computing, AI/machine learning, big data analytics, unmanned aircraft systems, connected vehicle, smart and connected health, and wireless communications and networking. His research has been featured by popular news media outlets, including IEEE GlobalSpec’s Engineering360, USA Today, U.S. News & World Report, Fox News, Association for Unmanned Vehicle Systems International (AUVSI), Forbes, WFTV, and New Atlas. Dr. Song is a senior member of ACM. Dr. Song was a recipient of the Best Paper Award from the 12th IEEE International Conference on Cyber, Physical and Social Computing (CPSCom2019), the Best Paper Award from the 2nd IEEE International Conference on Industrial Internet (ICII 2019), and the Best Paper Award from the 19th Integrated Communication, Navigation and Surveillance technologies (ICNS 2019) Conference.
Antonio Moschitta (M’01) received his Ph.D. Degree from University of Perugia in 2002. He is an Associate Professor at the University of Perugia, Italy. His research interests include Power Quality, A/D, D/A and Time to Digital conversion, Short Range Positioning, and Estimation Theory. He is author or co-author or more than 120 papers, appearing in International Journals or Conference Proceedings. As of 2020 he is chair of the IEEE Systems Council Italian Chapter.
Shen-En Qian is a principal scientist, scientific authority of government contracts and technical lead of space missions at the Canadian Space Agency. He is an internationally recognized expert in optical spacecraft payloads, space technologies for satellite missions and deep space exploration, remote sensing, satellite signal processing and enhancement, onboard satellite data compression, data handling and establishment of international standards for spacecraft data systems. He has over 30 years’ experience in these areas. Dr. Qian received his Ph.D. in Telecommunication and Electronic Systems in 1990. He is the sole author of three books on optical satellites and their signal processing, authored chapters in five others and edited a book on optical payloads for space missions. He has published over 120 papers. He holds 35 patents granted in the U.S., Europe, Canada and Australia for technologies developed in Canadian government laboratories. These technologies helped solve technical challenges in the development of the space missions and reduce their cost. The Governor General of Canada presented him the Canadian national award in 2016 for his outstanding contributions and leadership in advancing Canadian space programs. He received IEEE Canada Outstanding Engineer Award and Silver Medal in 2019. Dr. Qian is a fellow of the Canadian Academy of Engineering, a fellow of the International Society of Optics and Photonics Engineering (SPIE) and a senior member of IEEE. He is an adjunct professor at York University.
Lizhe Wang is the Dean and “ChuTian” Chair Professor at School of Computer Science, China Univ. of Geosciences. He received B.E. & M.E from Tsinghua Univ. and D.E. from Univ. Karlsruhe (Magna Cum Laude), Germany. His research interests include remote sensing data processing, Digital Earth, Big Data Computing. He is the recipient of Distinguished Young Scholars of NSFC, National Leading Talents of Science & Technology Innovation, 100-Talents Program of Chinese Academy of Sciences. Dr. Wang has published more than 100 journal articles, including 12 ESI highly-cited papers and 5 ESI hot papers, 10001 Google Scholar citations, h-index: 46. His work has advanced Chinese national spatial infrastructures and services. Dr. Wang is a Fellow of British Computer Society, Fellow Institution of Engineering and Technology (IET), Life member of AGU, a Life member of SPIE, a Life member of ISDE. Dr. Wang is a Program Board Member, GEO, 2015-2017 and a Member of the Working Group on Information Systems & Services, CEOS, 2015-present. Dr. Wang is an Associated Editor of Remote Sensing, MDPI, and Associated Editor of International Journal of Digital Earth, Taylor & Francis, and an Associated Editor of Big Earth Data Journal, Taylor & Francis.
Peter J. Burke
Peter J. Burke received the Ph.D. degree in physics from Yale University, New Haven, CT, USA, in 1998. From 1998 to 2001, he was a Sherman Fairchild Postdoctoral Scholar in physics with the California Institute of Technology, Pasadena, CA, USA. Since 2001, he has been a Faculty Member with the Department of Electrical Engineering and Computer Science, University of California at Irvine, Irvine, CA, USA. He has been the recepient of the Office of Naval Research Young Investigator award, and the Army Research Office young investigator program award. His current research interests include nanoelectronics, probes of cellular and sub cellular electrophysiology, radio and antenna propagation and systems (including nano-electromagnetics), and drones. The author has been a Part 107 licensed pilot (certificate # 390342, issue date 31 August 2016) since the beginning of the FAA drone license program.
Jun Li received the B.S. degree in geographic information systems from Hunan Normal University, Changsha, China, in 2004, the M.E. degree in remote sensing from Peking University, Beijing, China, in 2007, and the Ph.D. degree in electrical engineering from the Instituto de Telecomunicações, Instituto Superior Técnico (IST), Universidade Técnica de Lisboa, Lisbon, Portugal, in 2011. Currently, she is a Full Professor with Sun Yat-sen University, Guangzhou, China. She has obtained several prestigious funding grants at the national and international level. She has published over 90 journal citation report (JCR) papers, 50 conference international conference papers, and 1 book chapter. She has received a significant number of citations to her published works, with several papers distinguished as “Highly Cited Papers” in Clarivate Analytics’ Web of Science Essential Science Indicators (WoS-ESI). She was elevated to IEEE Senior Member status in 2016. She has been a Guest Editor for several journals, including the Proceedings of the IEEE and the ISPRS Journal of Photogrammetry and Remote Sensing. She has also been an active reviewer for several journals. She has received several important awards and distinctions, including the IEEE Geoscience and Remote Sensing Society (GRSS) Early Career Award in 2017. She was distinguished as a Best Reviewer of the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (in 2013).