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2026
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Title : Toward Safe Polar Navigation: Multimodal Sensing and Intelligent Communications |
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Speaker : Prof. Huafeng Wu: Professor, Doctoral Supervisor, and Vice Dean of the Graduate School, Shanghai Maritime University., China
Senior Member, Institute of Electrical and Electronics Engineers (IEEE). Shuguang Scholar of Shanghai, Vice Chairman of Shanghai Institute of Electronics. Leader of Shanghai High-level Innovation Team of "Intelligent Maritime Technology and Systems"
Honors and Awards:
· First Prize of the Maritime Science and Technology Progress Award, China Institute of Navigation
· Science and Technology Innovation (Team) Award, China Institute of Navigation
· Young Science and Technology Award, China Institute of Navigation
· Second Prize of the Shanghai Science and Technology Progress Award
· Shuguang Scholar of Shanghai
· Mingzhu Leading Talent of Shanghai
· Commendation Medal of the Shanghai Municipal Education Commission
· Inclusion in the Worlds Top 2% Scientists List
He has supervised nearly 60 doctoral and masters students, many of whom have won awards in national-level innovation competitions and the Shanghai Excellent Academic Dissertation Award.
Abstract : Polar maritime routes are becoming increasingly important for global shipping,
yet safe navigation in polar regions remains difficult due to harsh weather, sea ice variability,
sparse infrastructure, and complex communication environments. These challenges often
result in limited situational awareness and unstable connectivity, which together raise
operational risks and restrict the reliability of maritime missions. The objective of this
presentation is to develop and validate enabling technologies that safeguard polar navigation
safety through the integration of multimodal sensing and intelligent communication
strategies. This work addresses the coupled perception and communication problem under
severe channel dynamics and resource constraints. A satellite assisted transmission approach
is investigated to enhance link robustness in rapidly varying conditions, with emphasis on
adaptive signal design and channel learning for reliable information delivery. In parallel, a
heterogeneous shipborne communication architecture is established to support flexible mode
selection and cooperative networking across different coverage scenarios. To strengthen
situational awareness, multimodal sensing and information fusion are incorporated to
improve environmental cognition and target awareness, while network level strategies are
introduced to support resilient information dissemination in sparse maritime settings. Field
trials were conducted along representative polar routes in both scientific and commercial
operations. The experimental observations demonstrate that the proposed integrated
framework can maintain dependable communication services and support navigation related
data exchange under harsh polar conditions. The results confirm the feasibility of combining
multimodal sensing with intelligent communication and networking to enhance robustness
and operational safety. Overall, this study provides a practical pathway for future polar
maritime navigation systems that require reliable awareness and connectivity in
infrastructure scarce environments.
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