C.‐I. Meng

About

C.-I. Meng is a leading researcher at the forefront of next-generation wireless systems, with a primary focus on integrated sensing and communication (ISAC) and deep learning-driven network optimization. Their most cited work, a comprehensive 2025 review on deep-learning-based techniques for ISAC systems, has already garnered 10 citations, reflecting its timely impact on the 6G research community. In this seminal paper, Meng systematically surveys state-of-the-art approaches, identifies critical challenges, and outlines transformative opportunities for merging sensing and communication functionalities—a paradigm considered essential for beyond-5G networks. By bridging artificial intelligence with physical-layer system design, Meng’s contributions provide a foundational roadmap for researchers and engineers working on intelligent, spectrally efficient wireless architectures. Their work not only synthesizes a rapidly evolving field but also highlights practical deployment hurdles, from data scarcity to real-time processing constraints. As ISAC moves from theory to implementation, C.-I. Meng’s scholarship continues to shape how deep learning can unlock the full potential of joint sensing and communication, making their research indispensable for anyone exploring the future of ubiquitous connectivity.

Research Focus

Key Achievements

Top Papers

1. 1
   Deep-Learning-Based Techniques for Integrated Sensing and Communication Systems: State-of-the-Art, Challenges, and Opportunities

   10 citations · 2025

Key Collaborators

Contact & Links