Dr. Karim H. Moussa is an Associate Professor at the School of Internet of Things (IoT), Xi'an Jiaotong-Liverpool University (XJTLU), where he also serves as the Director of Teaching and Learning. He holds a Ph.D. in Electrical Engineering (Communications and Electronics) from Alexandria University.

Karim H. Moussa 博士现任西交利物浦大学（XJTLU）物联网学院副教授，并兼任教学与学习主任（Director of Teaching and Learning）。他于亚历山大大学获得电气工程（通信与电子）博士学位。

Dr. Moussa has established a robust research profile at the intersection of Next-Gen Wireless Communications and Applied AI. He has authored over 43 scientific publications in high-impact journals and conferences, attracting external and internal funding exceeding 100,000 USD. His portfolio includes leading strategic projects such as "Intelligent Beam Management for IoT in mmWave Massive MIMO" and the "Practical Syntegrative Education Model" for Smart Cities.

Moussa 博士在下一代无线通信与应用人工智能的交叉领域建立了深厚的科研积累。他在高影响力期刊及国际会议上发表学术论文 43 余篇，主持及参与的校内外科研项目经费超过 10 万美元。他领导的战略性项目包括“毫米波大规模 MIMO 物联网智能波束管理”以及针对智慧城市的“实用融合式教育（Syntegrative Education）模型”。

As a technical leader, he serves on Technical Program Committees for international conferences (e.g., CNIOT 2025) and organizes industry-aligned knowledge-sharing sessions. His work is defined by a commitment to bridging the gap between theoretical 6G security frameworks and real-world industrial applications.

作为技术领域的领导者，他担任多个国际会议（如 CNIOT 2025）的技术委员会委员，并积极组织产学研知识分享活动。他致力于将 6G 安全理论框架与实际工业应用相结合，推动技术落地。

Dr. Moussa’s research is strategically focused on three key technological frontiers:

Moussa 博士的研究兴趣集中在以下三个战略技术前沿：

• Next-Generation Wireless (6G & RIS): Advancing the physical layer of 6G networks, specifically focusing on Velocity-Aware Beamforming, Reconfigurable Intelligent Surfaces (RIS), and massive MIMO systems for high-mobility scenarios. 下一代无线通信 (6G & RIS)： 推进 6G 网络物理层技术，特别关注速度感知波束成形、智能超表面 (RIS) 以及面向高速移动场景的大规模 MIMO 系统。

• IoT Security & Chaos Theory: Developing lightweight, quantum-resistant security frameworks for the IoT edge. This includes novel work on 5D Memristive Hyperchaotic Maps and pseudo-random number generators (PRNGs) for securing image data in resource-constrained devices. 物联网安全与混沌理论： 开发面向物联网边缘设备的轻量级抗量子安全框架。包括基于5D 忆阻超混沌映射的创新研究，以及用于资源受限设备图像数据保护的伪随机数生成器 (PRNG)。

• AI-Enhanced Syntegrative Education: Pioneering the "Lab-to-Class" model by integrating Digital Twin technology and AI-driven assessment tools into the engineering curriculum, directly addressing the "New Engineering Education" (Xin Gongke) national strategy. AI 赋能的融合式教育： 通过将数字孪生技术和 AI 驱动的评估工具融入工程课程，开创“从实验室到课堂”的教学模式，积极响应国家“新工科”人才培养战略。

Assistant Professor at the School of Internet of Things, Xi’an Jiaotong-Liverpool University since June 2022 to December 2025.

Associate Professor at the School Internet of Things, Xi’an Jiaotong-Liverpool University since January 2026.

As the Director of Teaching and Learning, Dr. Moussa champions a student-centric, industry-aligned pedagogical approach. He has consistently achieved outstanding student feedback, including a perfect 5.00/5.00 for Final Year Project supervision and 4.96/5.00 for core technical modules, while maintaining high retention rates.

作为教学与学习主任，Moussa 博士倡导以学生为中心、与产业紧密结合的教学理念。他持续获得极高的学生评价，其中毕业设计指导评分达到完美的 5.00/5.00，核心技术模块评分达到 4.96/5.00，并保持了极高的学生留存率。

His leadership focuses on operationalizing Syntegrative Education (SE). He has successfully integrated Project-Based Learning (PBL) and AI-enhanced workflows into the curriculum, ensuring students engage with real industrial data. Dr. Moussa mentors large cohorts and individual research students alike, guiding them to publish in high-level venues. His teaching philosophy transforms the classroom into a "Living Lab," seamlessly aligning with XJTLU's mission to cultivate future-ready, industry-savvy engineers.

在教学领导力方面，他致力于推动融合式教育 (SE) 的落地实施。他成功将项目式学习 (PBL) 和 AI 辅助工作流引入课程体系，确保学生能够接触真实的工业数据。Moussa 博士不仅在大班教学中表现卓越，在个性化科研指导方面也成果丰硕，指导学生在高水平平台发表论文。他的教学理念是将课堂转化为“活体实验室”，旨在培养适应未来需求的行业精英工程师。

• URSI Young Scientist Award – International recognition of research excellence. URSI 青年科学家奖 – 国际无线电科学联盟颁发的卓越研究奖项。

• Best Paper Award – Received at the IEEE International Telecommunications Conference (ITC-Egypt). 最佳论文奖 (Best Paper Award) – 获得于 IEEE 国际电信会议 (ITC-Egypt)。

• Industry Engagement Award – Institutional recognition for excellence in supervising and managing industry-collaborative research projects. 产业参与奖 (Industry Engagement Award) – 学院颁发的奖项，表彰在指导和管理产学研合作项目方面的卓越表现