Prof. Yanli Xu
Associate Dean at the School of Information Engineering
Shanghai Maritime University, China

Bio: Yanli Xu, a professor and associate Dean at the School of Information Engineering, Shanghai Maritime University. She graduated from Southeast University in 2012 with a Information and Communication Engineering Ph. D. degree. Her current research interests focused on integrated space-air-ground-sea communication technology and edge computing. These technologies provide high reliability and low delay information transmission for Marine development, environment monitoring, shipping and marine security. Dr. Xu has published over 40 top-quality academic papers, and she has served as guest editor or TPC chair for well-known journals and conferences in the field. She has also been honored as Special Expert for Talent Work in Liaoning Province and the Pearl Plan of Shanghai Pudong New Area.

 

Prof. Kun Guo
East China Normal University, China

Bio: Kun Guo currently is a Professor with the School of Communications and Electronics Engineering at East China Normal University, Shanghai, China. She received the B.E. degree in Telecommunications Engineering from Xidian University, Xi'an, China, in 2012, where she received the Ph.D. degree in communication and information systems in 2019. From 2019 to 2021, she was a Post-Doctoral Research Fellow with the Singapore University of Technology and Design (SUTD), Singapore. Her research interests include wireless edge computing and intelligence.

 

 

Assoc. Prof. Xingyu Lu (Personal Page)
Nanjing University of Science and Technology, China

Bio: Xingyu Lu is an associate professor at the School of Electronics and Engineering, Nanjing University of Science and Technology (NJUST), Nanjing, China. He received the B.S. degree and Ph.D degree from NJUST, in 2014 and 2019, respectively. In 2018, he was a visiting student with the Department of Electrical and Computer Engineering, National University of Singapore.
His research program focuses on radar signal processing and image processing. His research work has been well funded by the National Natural Science Foundation of China, China Postdoctoral Science Foundation, China Aerospace Science and Industry Foundation, China Electronics Technology Group Corporation, and several other projects. He has authored/co-authored several books, over 10 patents, and over 30 technical papers in refereed journals and peer-reviewed conference proceedings, such as IEEE Transactions on Signal Processing, IEEE Transactions on Geoscience and Remote Sensing, etc. He was awarded the "Top Cited Article 2021-2022" by Wiley in 2022.

 

Assoc. Prof. Simeng Feng (Personal Page)
Nanjing University of Aeronautics and Astronautics, China

Bio: Simeng Feng, received the BSc degree in electronic information science and technology from the Ocean University of China, and received the master’s and PhD degrees in wireless communications from the University of Southampton, UK in 2015 and 2019, respectively. She is currently an associated professor with the key laboratory of dynamic cognitive system of electromagnetic spectrum space, ministry of industry and information technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China. Her main research interests include UAV communication networks and optical wireless communications. She has led and participated in more than ten projects, including those funded by the National Natural Science Foundation of China, KJW Innovation Zone projects, Jiangsu Provincial Key R&D projects, and Jiangsu Provincial Frontier Leading Fundamental Research Projects. She has published over 20 papers in related fields, and her research achievements have been recognized with the IET Global Innovation Award and the IoTCIT2023 Best Paper Award. She serves as IEEE Member, a senior member of the Chinese Institute of Communications (CIC), a member of the Chinese Institute of Electronics (CIE), a member of the Youth Committee of the Communication Branch of the CIE, and a deputy director of the Digital Low-Altitude Special Committee.

 

Assoc. Prof. Xiaojun He (Personal Page)
Huazhong University of Science and Technology, China

Bio: Xiaojun received the B.Eng degrees in Information Engineering from Huazhong University of Science and Technology, Wuhan, P.R. China. He also obtained his MPhil. Degree in Electrical and Electronic Engineering from the Hong Kong University of Science and Technology. Then, he received his Ph.D. degree in the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology. Starting from October 2008 till now, he has joined the School of Electronic Information and Communications, Huazhong University of Science and Technology, P.R. China. He is now an associate professor in the School of Electronic Information and Communications, Huazhong University of Science and Technology. Between September 2005 and September 2007, he worked on P2P networking in the Department of Computer and Information Science, Polytechnic University. He is co-author (with Yong Liu and Keith W. Ross) of the best paper in multimedia communications for 2008 by the Multimedia Communications Technical Committee of the IEEE Communications Society. He has been an internationally certified ISW facilitator since Jan. 2021. His current research interests include Artificial Intelligence Enabled Networking, Intelligent Healthcare, Robotic Applications.

 

Assoc. Prof. Han Wu
Sichuan University, China

Speech Title: Mid-infrared Temporal Ghost Imaging and Data Encryption

Abstract: Ghost imaging in the time domain allows for reconstructing fast temporal objects using a slow photodetector. The technique involves correlating random or pre-programmed probing temporal intensity patterns with the integrated signal measured after modulation by the temporal object. However, the implementation of temporal ghost imaging necessitates ultrafast detectors or modulators for measuring or pre-programming the probing intensity patterns, which are not available in all spectral regions especially in the mid-infrared region. Here, we report a frequency downconversion temporal ghost imaging scheme that enables us to realize computational temporal ghost imaging in the mid-infrared. The approach modulates a signal with temporal intensity patterns in the near-infrared fiber laser and transfers the patterns to an idler via difference-frequency generation in a nonlinear crystal at a wavelength where the temporal object can be retrieved. As a proof-of-concept, we demonstrate computational temporal ghost imaging in the mid-infrared with operating wavelength that can be tuned from 3.2 to 4.3 μm. We further demonstrate mid-infrared data encryption and transmission over a 3 m free space link at a speed more than 60 times higher than MIR detector bandwidth based on the frequency downconversion computational temporal ghost imaging.

Bio: Han Wu received the PhD degree from the Key Lab of Optical Fiber Sensing & Communications (Education Ministry of China), University of Electronic Science & Technology of China, Chengdu, China. He was with Tampere University, Finland, as a joint-training PhD student from 2018 to 2019. He is now an associate professor at Sichuan University. He has authored or co-authored over 70 papers in international journals, including Nature Communications, Light: Science and Applications, Optica and Laser Photonics Reviews, and his research was highlighted in Optics in 2014 by OSA Optics and Photonics News. He won the SPIE Optics and photonics education scholarship and Young Scientist Award in Advanced Fiber Laser Conference. Dr Wu’s current research interests include random fiber lasers, mid-infrared lasers and ghost imaging.