潘丽博士现为山东大学软件学院教授，2017年入选山东大学青年学者未来计划。主要从事服务计算、云智能等方面的研究。作为负责人承担/完成国家自然科学基金、国家重点研发计划（子课题）、山东省自然科学基金、山东省重点研发计划等多个国家、省部级项目，近三年在国际顶级会议和期刊上发表论文20余篇，获得发明专利授权10余项，取得山东省科技进步二等奖2项。主要课程：《工业软件导论》、《面向对象开发技术》、《服务开发技术》、《服务计算导论》等。招生意向：软件工程、人工智能硕士（学/专）、博士近三年主要学术论文：2023：[1] Mingyu Liu, Li Pan*, Shijun Liu*. Cost Optimization for Cloud Storage from User Perspectives: Recent Advances, Taxonomy, and Survey[J]. ACM Computing Surveys, 2023, 34(2): 501-518. DOI: 10.1145/3582883 (SCI, IF 14.324, 中科院一区)[2] Xingjia Li, Li Pan*, Shijun Liu*. An Online Service Provisioning Strategy for Container-based Cloud Brokers[J]. Journal of Network and Computer Applications, Volume 214, 2023, 103618. DOI: 10.1016/j.jnca.2023.103618 (SCI，IF 7.574，中科院一区)2022：[1] Mingyu Liu, Li Pan*, Shijun Liu*. RLTiering: A Cost-Driven Auto-Tiering System for Two-Tier Cloud Storage Using Deep Reinforcement Learning[J]. IEEE Transactions on Parallel and Distributed System, 2022, 34(2): 501-518. DOI: 10.1109/TPDS.2022.3224865 (SCI, IF 3.757, CCF A rank)[2] Yongjie Xie, Li Pan*, Shijun Liu*. A Random Online Algorithm for Reselling Reserved IaaS Instances in Amazon's Cloud Marketplace[J]. IEEE Transactions on Network Science and Engineering, 2022, 9(3): 1235 - 1244. DOI: 10.1109/TNSE.2021.3138932 (SCI, IF 4.758，中科院二区)[3] Liduo Lin, Li Pan*, Shijun Liu*. Learning to Make Auto-scaling Decisions with Heterogeneous Spot and On-demand Instances via Reinforcement Learning[J]. Information Sciences, 2022, 614: 480-496. DOI: 10.1016/j.ins.2022.10.071 (SCI, IF 8.233, CCF B rank, 中科院一区)[4] Zizhe Jin, Li Pan*, Shijun Liu*. Online Cost-Effective Edge Service Renting for Content Providers in Cloud and Edge Environments[C]//2021 IEEE International Conference on Web Services (IEEE ICWS). IEEE, 2021: 541-550. (EI, CCF B rank)[5] Xingjia Li, Li Pan*, Shijun Liu*. A Survey of Resource Provisioning Problem in Cloud Brokers[J]. Journal of Network and Computer Applications. Volume 203, 2022. DOI: 10.1016/j.jnca.2022.103384 (SCI，IF 7.574，中科院一区)[6] Xingjia Li, Li Pan*, Shijun Liu*. A DRL-based Online VM scheduler for Cost Optimization in Cloud Brokers[J]. World Wide Web. DOI: 10.1007/s11280-023-01145-3 (SCI，IF 3.000， CCF B rank)[7] Liduo Lin, Li Pan*, Shijun Liu*. Methods for Improving the Availability of Spot Instances: A Survey[J]. Computers in Industry, 2022, 141: 103718. DOI: 10.1016/j.compind.2022.103718 (SCI, IF 11.245, 中科院一区)[8] Zizhe Jin, Li Pan*, Shijun Liu*. Randomized Online Edge Service Renting: Extending Cloud-based CDN to Edge Environments[J]. Knowledge-Based Systems, 2022, 257: 109957. DOI: 10.1016/j.knosys.2022.109957 (SCI, IF 8.139, 中科院一区)[9] Yuxiao Qi, Li Pan*, Shijun Liu*. A Lyapunov Optimization-based Online Scheduling Algorithm for Service Provisioning in Cloud Computing[J]. Future Generation Computer Systems, 2022, 134: 40-52. DOI: 10.1016/j.future.2022.03.037 (SCI, IF 7.307, 中科院一区)[10] Youyou Kang, Li Pan*, Shijun Liu*. An Online Algorithm for Scheduling Big Data Analysis Jobs in Cloud Environments[J]. Knowledge-Based Systems, 2022, Volume 245, June 2022. DOI: j.knosys.2022.108628 (SCI, IF 8.139, 中科院一区)[11] Wen Si, Li Pan*, Shijun Liu*. A Cost-driven Online Auto-scaling Algorithm for Web Applications in Cloud Environments[J]. Knowledge-Based Systems, 2022, Volume 244, May 2022. DOI: 10.1016/j.knosys.2022.108523 (SCI, IF 8.139, 中科院一区)[12] Mingyu Liu, Li Pan*, Shijun Liu*. Effeclouds: A Cost-effective Cloud-of-clouds Framework for Two-tier Storage[J]. Future Generation Computer Systems, 2022, 129: 33-49. DOI: 10.1016/j.future.2021.11.012 (SCI, IF 7.307, 中科院一区) 2021：[1] Mingyu Liu, Li Pan*, Shijun Liu*. Keep Hot or Go Cold: A Randomized Online Migration Algorithm for Cost Optimization...