[Opening] 14:00-14:05  Shigeru Shimamoto, Waseda University, Japan

[Keynote Talk 1] 14:05-14:35  Tomoaki Otsuki, Keio University, Japan

• Title: HAPS Mobile Communications
• Abstract:
  High-Altitude Platform System (HAPS) refers to systems that use vehicles or platforms stationed in the Earth’s stratosphere to provide a wide range of services, including communications, surveillance, and remote sensing. HAPS is expected to play a critical role in the next generation of wireless communication systems, improving quality of service and ensuring continuous and uninterrupted connectivity. In this talk, we introduce the HAPS mobile systems and the current research trends on those topics.
• Biography:
  Professor Tomoaki Otsuki (Ohtsuki) received his B.E., M.E., and Ph.D. degrees in Electrical Engineering from Keio University in 1990, 1992, and 1994. He went on to serve as a Postdoctoral Fellow, Visiting Researcher, and JSPS Special Researcher, contributing early to advanced research in communication technologies. From 1995 to 2005, he was on the faculty of the Science University of Tokyo, before rejoining Keio University in 2005, where he is now a Professor in the Department of Information and Computer Science. He also spent 1998–1999 as a visiting researcher at the University of California, Berkeley. His research spans wireless and optical communications, signal processing, and information theory, with growing impact in intelligent communication systems and related emerging fields. A highly prolific scholar, he has authored more than 337 journal papers and over 550 conference papers.
  Professor Otsuki has received numerous prestigious distinctions, including the Inoue Research Award, Hiroshi Ando Memorial Young Engineering Award, Ericsson Young Scientist Award, and multiple Best Paper Awards. He has served in major leadership roles within IEEE ComSoc and has held editorial positions for leading journals such as IEEE Wireless Communications Magazine and IEEE Transactions on Vehicular Technology. He is a Fellow of IEICE, Fellow of AAIA, Senior Member of IEEE, and a member of the Engineering Academy of Japan.
   

[Technical Session 1] 14:35-15:35. Session Chair: Tu Dac Ho, Norwegian University of Science and Technology, Norway

14:35-14:55 Coordinated UL/DL Multi-Beam Scheduling for Latency-Reduced Satellite Data Relay
Kohei Yoshida; Yohei Hasegawa; Kazushi Sugyo; Kazushi Muraoka; Masayuki Ariyoshi

14:55-15:15 Waveform Characteristics of OTFS and OFDM Modulated with Zadoff-Chu Sequences
Yi Zhang; Kazutoshi Yoshii; Tu Dac Ho; Shigeru Shimamoto

15:15-15:35 Industrial Case Study of Aerial Systems Using Ray-Tracing and Antenna Optimisation
Krishnakanth Mohanta; Al-Rubaye Saba; Antonios Tsourdos
 

[Group Photo and Break] 15:35-15:50
 

[Technical Session 2] 15:50-16:50. Session Chair: Zhenni Pan, Waseda University, Japan

15:50-16:10 Semantic THz-Enabled Federated Learning for Collaborative Mission Planning in UAV Swarms
Zihong Li; Zhenni Pan; Jun Wu

16:10-16:30 GEO-Relayed Inter LEO Satellite Constellations Connection Scheduling with Hybrid FSO/RF Communications
Kazuma Mashiko; Hiroaki Hashida; Yuichi Kawamoto; Yohei Hasegawa; Masayuki Ariyoshi

16:30-16:50 Frequency-Power Slicing for QoS-Aware Resource Optimization in UAV-Assisted NOMA Networks
Hao Xue; Junlong Wang; Zhenni Pan; Shigeru Shimamoto; Tu Dac Ho
 

[Keynote Talk 2] 16:50-17:20  Miao Pan, University of Houston, U.S.A.

• Title: On the Verification and Vulnerability of Neural Audio Watermarking
• Abstract: 
  As AI audio generation technology advances, audio watermarking has gained increasing attention as an essential tool for copyright protection and source verification. However, the integrity of audio content remains unverifiable—how can we determine whether an audio has been modified? In this talk, I first present SpeeCheck, the first self-contained speech integrity verification framework based on audio watermarking. SpeeCheck can effectively detect malicious tampering while remaining robust under benign operations such as compression or resampling. It achieves this by learning contrastive fingerprints that are robust to benign transformations but sensitive to tampering, and embedding these fingerprints into the audio itself as a watermark for direct, reference-free verification. As we further investigate the design of neural audio watermarking, we discovered a universal vulnerability. Current methods primarily focus on imperceptibility and robustness, often neglecting security. Based on this, I will further discuss a novel Overwriting Attack. This attack can overwrite a legitimate audio watermark with a forged one, rendering the original watermark undetectable. We demonstrate that this attack achieves a nearly 100% success rate across white-box, gray-box, and black-box settings, exposing a critical security flaw in existing neural audio watermarking systems and highlighting the urgent need for enhanced security in future designs.
• Biography:
  Dr. Miao Pan is a Full Professor in the Department of Electrical and Computer Engineering at the University of Houston. He received his Ph.D. in Electrical and Computer Engineering from the University of Florida in 2012 and was awarded the NSF CAREER Award in 2014. His research spans wireless for AI, mobile AI systems, LLM security and privacy, deep learning privacy, biometric authentication, quantum computing privacy, wireless networks, and underwater IoT systems.
  Dr. Pan has published 3 books and book chapters, 5 patents, over 160 journal and magazine papers in leading venues such as IEEE/ACM Transactions on Networking, IEEE Journal on Selected Areas in Communications, and IEEE Transactions on Mobile Computing. He has also authored more than 160 papers in premier conferences including INFOCOM, MobiSys, ICCV, ICDM, AAAI, EMNLP, CIKM, VLDB, BigData, ICDCS, AsiaCCS, ICRA, and IPDPS. His research has earned multiple Best Paper Awards, including ICC 2019, VTC 2018, Globecom 2017, Globecom 2015, and the IEEE TCGCC Best Conference Paper Award 2019. He has served in numerous leadership and technical roles, including TPC Co‑Chair, Symposium Co‑Chair, and SPC/TPC member for major AI and wireless networking conferences. Dr. Pan is an Associate Editor for ACM Computing Surveys, IEEE Journal of Oceanic Engineering, IEEE Open Journal of Vehicular Technology, and the IEEE Internet of Things Journal. He is a member of AAAI and a senior member of ACM and IEEE.
   

[Closing] 17:20-17:30  Tu Dac Ho, Norwegian University of Science and Technology, Norway