5月16日，计算机学院特邀英国埃克塞特大学闵革勇教授来校作题为《AI and Digital Twin for Smart Computing and Networking》的学术报告。报告由计算机学院院长张伟主持，计算机科学与技术系系主任焦立博及30余名师生到场聆听，并与嘉宾进行深入交流。

报告中，闵革勇从智能计算与网络面临的现实挑战出发，列举了大量生成式AI的应用案例。他指出，随着智能边缘网络的应用和服务的爆发式增长，能源消耗与硬件部署的代价越来越大，云边网络协同的重要性也愈加凸显。他深入剖析了数字孪生解决资源消耗过大、设备放置成本过高、资源利用率低等问题的关键作用，并结合实际案例详细讲解了智能边缘网络与数字孪生技术的融合应用。闵革勇针对依赖型任务调度问题，提出边缘智能服务的服务放置策略以及数据孪生的知识发现模型，并对人工智能与数字孪生赋能的未来发展场景进行展望，就人工智能在不同领域更加广泛的应用进行答疑解惑。

讲座结束后，闵革勇与校党委常委、副校长陈昕以及部分师生代表进行深入探讨。陈瑞翔博士汇报了其在车联网领域应用联邦学习及应对数据与设备异构性问题的最新研究成果，同时就该领域的未来创新方向向闵革勇进行了深入请教。闵革勇强调了构建可信人工智能框架的重要性，特别是提升模型的可靠性、安全性与透明性。曹怡然同学介绍了其在区块链与隐私计算方面的研究进展。闵革勇指出，隐私计算将在未来发挥举足轻重的作用，并首次提出将数字孪生技术与区块链相结合的创新构想，展望了该技术融合带来的广阔应用前景。（供稿：计算机学院 李莉 编辑：张艾林 审核：郭辉）

闵革勇简介：

Professor Geyong Min is a Chair in High Performance Computing and Networking in the Department of Computer Science at the University of Exeter, UK. His research interests include Computer Networks, Cloud and Edge Computing, Mobile and Ubiquitous Computing, Systems Modelling and Performance Engineering. His recent research has been supported by European Horizon-2020, UK EPSRC, Royal Society, Royal Academy of Engineering, and industrial partners. He has published more than 200 research papers in leading international journals including IEEE/ACM Transactions on Networking, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, and IEEE Transactions on Wireless Communications, and at reputable international conferences, such as SIGCOMM-IMC, INFOCOM, and ICDCS. He is an Associated Editor of several international journals, e.g., IEEE Transactions on Computers, and IEEE Transactions on Cloud Computing. He served as the General Chair or Program Chair.