张啸杰，男，博士，讲师。2023年于纽约市立大学毕业，获博士学位，海外高层次引进人才。主要研究方向是分布式计算（云计算与边缘计算等）和深度强化学习，担任IEEE INFOCOM、IEEE GLOBECOM、IEE ICC、IEEE SECON、ICA3PP等期刊会议审稿人。共发表高水平学术论文15篇，其中以第一作者发表论文12篇。申请国家发明专利6项，已授权4项，横向项目进账经费78万元。
(联系方式：xzhang6@gradcenter.cuny.edu,科研组欢迎对分布式计算/高性能计算有兴趣的大二、大三学生，要求：成绩排专业前15%，积极乐观，勤奋好学，有考研意向)
学科竞赛：
1. 2024年，第六届全球校园人工智能算法精英大赛（A类竞赛）优秀指导老师，以第一指导老师身份指导22级人工智能系学生获该赛事国家一等奖1项、国家三等奖1项。
参与课题：
1. 横向课题，基于AI的互动学习平台，2024-10至2025-08，51.52万，在研；
2. 纵向课题，湖南省教育厅科学研究重点项目，基于机器学习的航空发动机故障定位与诊断研究，2024年，在研，参与；
3. 纵向课题，湖南省自然科学基金-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，在研，参与；
4. 横向课题，志愿者算力平台，2024-04至2026-04，26.8万，在研；
5. 纵向课题，美国国家科学基金项目，Trusted Resource Allocation in Volunteer Edge-Cloud Computing Workflows，2023-01至2025-12, 60万美元,在研,参与（PI：Saptarshi Debroy，博导）；
6. 纵向课题，美国国家科学基金项目，A Resilient and Agile Fog Framework for Large-scale
Disaster Incidence Response，2020-03至2025-09, 53万美元,在研,参与（PI：Saptarshi Debroy，博导）。
第一作者科研论文：
[1] X. Zhang, S. Debroy, P. Wang and K. Li, "DeepRB: Deep Resource Broker Based on Clustered Federated Learning for Edge Video Analytics," in IEEE Transactions on Network and Service Management, doi: 10.1109/TNSM.2025.3560657 . (中科院2区，JCR Q1，影响因子IF=4.7)
[2] X. Zhang, S. Debroy and J. Tong（22级人工智能系学生）, "deepV:PPO-driven Task Latency Minimization in Volunteer-supported Edge Computing," 2024 IEEE Smart World Congress (SWC), Nadi, Fiji, 2024, pp. 2447-2454, doi: 10.1109/SWC62898.2024.00370 (Best paper award*)
[3] 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.
[4] 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.
[5] X. Zhang and 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（中科院1区TOP期刊，影响因子IF=23.8）
[6] 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.
[7] 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.
[8] 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.
[9] X. Zhang and 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.
[10] X. Zhang and 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
[11] X. Zhang and 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，一种基于灾后救援的无人机群边端协同计算和充电系统，张啸杰，王鹏，李雯，2024年，已授权，ZL202410537442.3.
[2] 发明专利，一种基于深度强化学习的多分割多跳任务卸载系统，张啸杰，王鹏，童嘉琪 徐智宇，龙泉（22级人工智能系学生），2024年，已授权，ZL202411068734.3.
[3] 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，ZL202311184777.3.
