张啸杰，男，博士，讲师。毕业于纽约市立大学（研究生院），获计算机科学博士学位。主要研究方向是分布式计算（云计算、雾计算、边缘计算等）、博弈论、联邦学习、深度强化学习等，担任IEEE INFOCOM、Heliyon、SENSORS、IEEE SmartSys（TPC）、IEEE Globecom、IEE ICC、IEEE SECON、ICA3PP（TPC）等期刊会议审稿人。

联系方式:xzhang6@gradcenter.cuny.edu

参与课题：

1.自然科学基金-区域联合基金，基于深度学习的航空发动机故障案例推理方法研究，2024，参与。

科研论文：

[1]X. Zhang, H. Gan, A. Pal, S. Dey and S. Debroy, "On Balancing Latency and Quality of Edge-Native Multi-View 3D Reconstruction," 2023 IEEE/ACM Symposium on Edge Computing (SEC), Wilmington, DE, USA, 2023, pp. 1-13, doi: 10.1145/3583740.3630267.

[2]X. Zhang, M. Mounesan and S. Debroy, "EFFECT-DNN: Energy-efficient Edge Framework for Real-time DNN Inference," 2023 IEEE 24th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Boston, MA, USA, 2023, pp. 10-20, doi: 10.1109/WoWMoM57956.2023.00015.

[3]X. Zhangand S. Debroy. 2023. Resource Management in Mobile Edge Computing: A Comprehensive Survey. ACM Comput. Surv. 55, 13s, Article 291 (December 2023), 37 pages. https://doi.org/10.1145/3589639（1区TOP期刊，影响因子IF=16.6）

[4]X. Zhang, M. Li, A. Hilton, A. Pal, S. Dey and S. Debroy, "End-to-End Latency Optimization of Multi-view 3D Reconstruction for Disaster Response," 2022 10th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud), San Francisco, CA, USA, 2022, pp. 17-24, doi: 10.1109/MobileCloud55333.2022.00010.

[5]X. Zhang, A. Pal and S. Debroy, "EFFECT: Energy-efficient Fog Computing Framework for Real-time Video Processing," 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid), Melbourne, Australia, 2021, pp. 493-503, doi: 10.1109/CCGrid51090.2021.00059.

[6]X. Zhang, A. Pal and S. Debroy, "Deep Reinforcement Learning Based Energy-efficient Task Offloading for Secondary Mobile Edge Systems," 2020 IEEE 45th LCN Symposium on Emerging Topics in Networking (LCN Symposium), Sydney, Australia, 2020, pp. 48-59, doi: 10.1109/LCNSymposium50271.2020.9363256.

[7]X. Zhangand S. Debroy, "Energy Efficient Task Offloading for Compute-intensive Mobile Edge Applications," ICC 2020 - 2020 IEEE International Conference on Communications (ICC), Dublin, Ireland, 2020, pp. 1-6, doi: 10.1109/ICC40277.2020.9149012.

[8]X. Zhangand S. Debroy. 2019. Adaptive task offloading over wireless in mobile edge computing. In Proceedings of the 4th ACM/IEEE Symposium on Edge Computing (SEC '19). Association for Computing Machinery, New York, NY, USA, 323–325. https://doi.org/10.1145/3318216.3363328

[9]X. Zhangand S. Debroy, "Migration-driven Resilient Disaster Response Edge-Cloud Deployments," 2019 IEEE 18th International Symposium on Network Computing and Applications (NCA), Cambridge, MA, USA, 2019, pp. 1-8, doi: 10.1109/NCA.2019.8935043.

专利：

[1]发明专利，一种基于志愿者计算的边缘AI任务调度和资源管理系统，张啸杰，2023年，已授权。