The 4th International Conference on
Mobile • Military • Maritime IT Convergence

August 27-30, 2025 | Tambuli Seaside Resort and Spa, Cebu, the Philippines
Promoting Ultimate Convergence of Wireless,
Military and Maritime Communications in the 6G Era


Paper submission deadline June 30, 2025
(Firm Deadline)
Notification of acceptance July 13, 2025
Camera ready deadline July 18, 2025
Registration deadline July 18, 2025

To be Announced.

Optical Wireless Communications for IoT Applications

Prof. Zabih Ghassemlooy

Professor of Optical Communication, Emeritus Professor of Northumbria University, U.K.

The next generation wireless communication networks (i.e., 6G and beyond) will seamlessly connect people, devices and systems together, enabling the collection, preparation, processing, storing and decision making of vast amounts of information. It is anticipated that such wireless networks will utilise different technologies for use in smart environments, including homes/buildings/cities, manufacturing, agriculture, health care, transportation systems, etc..

AI powered 6G-IoT Communications Towards Industrial Adaptation

Prof. Arun Kumar Sangaiah

Distinguished Professor, International Graduate School of AI, National Yunlin University of Science and Technology, Taiwan (ROC)

The emergence of sixth-generation Internet of Things (6G-IoT) communication networks is poised to revolutionize industrial applications by enabling ultra-reliable, intelligent, and high-speed connectivity. These advancements will not only enhance automation but also drive innovation across various sectors, making industries more efficient and interconnected than ever before. Efficient communication plays a pivotal role in ensuring seamless data transmission..

Quantum Machine Learning and Optimization for 6G Networks

Prof. Trung Q. Duong

Canada Excellence Research Chair and Professor at Memorial University of Newfoundland, Canada

Quantum computing uses the concept of quantum mechanics to offer a massive leap forward in relations to solving complex computation problems. Hybrid quantum-classical machine learning algorithms can significantly enhance the processing efficiency and exponentially computational speed-up, highly capable of guaranteeing high QoS requirements of 6G networks. This talk presents the state-of-the-art in quantum machine learning and optimization and provide a comprehensive overview of its potential, via machine learning approaches.

Optical Wireless Communication for Space-Air-Ground Integrated Network in 6G

Prof. Telex M. N. Ngatched

McMaster University, Canada

The space-air-ground integrated network (SAGIN), which links space, air, and ground network segments using modern information network technologies, is recognized as a promising network architecture for the next generation wireless communication networks, i.e., 6G and beyond, due to its wide coverage area, high user quality service, massive connectivity, and unrestricted terrain conditions. SAGIN’s integration of satellite, air, and ground segments offers seamless connectivity in remote areas, increased capacity in high-demand regions, and high-speed data access, promising significant benefits for the future evolution of 6G wireless communications. However, SAGINs, which generally operate in the radio frequency band, are limited by the high bandwidth requirements of automated driving systems, security monitoring, and the Internet of Things. To increase the speed and transmission rate of these systems, the use of optical communication links, at high frequency bands, is a promising approach. This talk will highlight the challenges related to the integration of optical wireless communication, specifically free-space optical, in SAGIN. Proposed solutions will be discussed, and prospective research avenues will be outlined.