Program

The program schedule of IEEE CSCloud/EdgeCom 2025 is as follows:

Friday, Nov. 7th, 2025 (New York Time)

10:00 – 12:00 Steering Committee Meeting
14: 00 – 16:00 Registration

Saturday, Nov. 8th, 2025 (New York Time)

Conference Room Room A Room B Room C
9:00 – 9:05 Opening
9:05 – 9:55 Keynote 1
9:55 – 10:10 Coffee Break
10:10 – 11:00 Keynote 2
11:00 – 11:15 Award Ceremony
11:15 – 12:15 CSCloud 1 EdgeCom 1 Backup
12:15 – 13:00 Lunch
13:00 – 14:00 CSCloud 2 EdgeCom 2 Backup
14:00 – 15:00 CSCloud 3 EdgeCom 3 Backup
15:00 – 16:00 CSCloud 4 EdgeCom 4 Backup
16:00 – 16:10 Coffee Break
16:10 – 17:10 CSCloud 5 EdgeCom 5
17:10 – 18:10 CSCloud 6 Special Track 1 Special Track 2
18:10 – 19:10 EdgeCom 6
19:10 – 20:30 Banquet

Sunday, Nov. 9th, 2025 (New York Time)

Conference Room Room A Room B Room C
9:00 – 9:50 Keynote 3
9:50 – 10:50 CSCloud 7 CSCloud 8 Internal Meeting
10:50 – 11:00 Break
11:00 – 12:00 CSCloud 9 CSCloud 10 Internal Meeting
12:00 – 13:00 Lunch
13:00 – 14:00 CSCloud 11 CSCloud 12
14:00 – 14:10 Break
14:10 – 15:10 Special Track 3
15:10 – 16:10 EdgeCom 7 EdgeCom 8

Important Notice: This year the IEEE CSCloud/EdgeCom 2025 will be a hybrid conference, due to the visa and virus considerations. For all participants, all the time mentioned in this booklet is based on New York's time zone, which is UTC-4.

Presentation Online: To be notified by email - Zoom (https://zoom.us/)

Registration: Online Registration System ( https://www.cloud-conf.net/cscloud/2025/cscloud/registration.html)

IEEE EdgeCom 2025

EdgeCom 1:

  • Hong Zhao, Tonglin Zhang, Baijian Yang, Jin Wei-Kocsis, and Songlin Fei, Kernel-Based Unsupervised Learning to Reveal Concealed Structures in Forestry LiDAR Data.
  • Ahmad Rzgar Hamid, Hendrik Reiter, Mikkel Baun Kjærgaard and Wilhelm Hasselbring, Astrolabe: Optimising Edge Inference through Multi-Depth Model Orchestration.
  • Richard Christ and Vishal Vignesh S, Latency analysis of Retrial-Nanoservice based Edge-Computing Architecture with Intolerant Data.
  • Mohammed Alnemari, Equivariant-Aware Structured Pruning for Efficient Edge Deployment: A Comprehensive Framework with Adaptive Fine-Tuning.

EdgeCom 2:

  • Adiba Masud, Nicholas Foley, Durga Rajarajan and Palden Lama, Where to Split? A Pareto-Front Analysis of DNN Partitioning for Edge Inference.
  • Hongbing Zhang, Chuanhao Jin, Youjia Bai and Yixian Gu, A Federated Edge Network Orchestration and Privacy-enhanced Collaborative Inference Architecture Based On KubeEdge.
  • Stephen Bauer and Sudhakar Pamarti, ANGLE-QUANT: Angle Error Minimizing Weight Quantization for Efficient Inference at the Edge.
  • Venkata Naga Shivajee Khande and Nikitha Vippu Janardhanan Balaji, Automated Disaster Recovery in Cloud

EdgeCom 3:

  • Dhuha Al-Zobaie, Aqeel Kazmi and Siobhán Clarke, Scalable Mobility-Aware Dynamic Service Placement in Edge Computing.
  • Romina Aalishah, Mozhgan Navardi and Tinoosh Mohsenin, EdgeNavMamba: Mamba‑Optimized Object Detection for Energy-Efficient Edge Devices.
  • Udhav Agarwal, Agentic AI Decentralized Edge-Cloud Thermal Orchestration System.
  • Sonika Arora, Prashanth Josyula and Ankit Rajput, A Formal Framework for Ethics-by-Design in AI Entertainment Systems.

EdgeCom 4:

  • Md Muzakkir Hussain, Abdullah Muslim and Stephan Recker, Understanding the Energy Observability of Microservice Applications in edge-cloud environments.
  • Abhikruthi Sudula, Interactive FER-Based Animation System for Children.
  • Nitin Sharma, On-Device AI for Trust, Privacy and Real Time Decisions in NextGen FinTech.
  • Abdullah Muslim, Sales Management for Compute Resources in Decentralized Edge Computing Platforms.

EdgeCom 5:

  • Alok Tibrewala, ByteShield: A Cybersecurity Aware AI Co-Inference Architecture for Edge Cloud Systems.
  • Pranav Joshi, Rijan Shrestha, Manish Guruwacharya, Sabin Shrestha, Atsushi Ito and Nishchal Acharya, Lightweight and Efficient Semantic Segmentation Model for FPGA-based Acceleration.
  • Avik Bhatnagar, Anton Paule, Tobias Schuermann, Sebastian Reiter, and Oliver Bringmann, On-Device Adaptive Battery Power Prediction for Electric Vehicles.
  • Matthew Rothman, Krithin Visvesh, Karthik Perugupalli and Laavanya Rachakonda, RemoraTech: Edge-Enabled IoT Monitoring System for Real-Time Pipeline Fault Detection.
  • Sooraj Satyanarayanan and Varshitha Manjunath, Lightweight Multi-Tenant Security Isolation for Resource-Constrained Edge Computing Platforms: A Theoretical Framework.

EdgeCom 6:

  • Nada Abunameh, Sufyan Almajal, Ammar Odeh and Mouhammd Alkasassbeh, Innovative Applications of Edge Computing and Machine Learning for Enhanced Efficiency and Security.
  • Wen-Tzu Chang, Rui Fang and Ming-Syan Chen, SEAL: Secure and Efficient Adaptive Layering for On-Device Language Models with TEE.
  • Liang Cheng, Peiyuan Guan, Amir Taherkordi and Dapeng Lan, Enabling Edge Intelligence through Variational Autoencoders-Based Model Compression.
  • Qiang Duan and Zhihui Lu, Agent Communications toward Agentic AI at Edge -- A Case Study of the Agent2Agent Protocol.

EdgeCom 7:

  • Jianghao Chen, Shuning Sun, Wenfei Ge, Yushen Li, Huijun Zhang and Xiaofeng Chen, REPChain-FL: A Secure and Incentive-Aligned Federated Learning Framework over DAG-Based Blockchain.
  • Hengyuan Na, Wang Luo, Di Wu and Miao Hu, Rep-Bicubic++: Enabling 8K Real-Time Super-Resolution on Edge Devices.
  • Dexuan Xu, Tiantian Yan, Shijie Li, Zhongyan Chai, Rui Liu and Yimeng Li, Composed Image Retrieval with Multi-level Feature Alignment for Edge-Cloud Intelligence.

EdgeCom 8:

  • Yijian Zhang, Xiaofeng Chen, Wenyu Cai and Huijun Zhang, A Survey of Privacy Preservation Techniques for Large Language Models.
  • Jie Wan, Research on the Application and Risk Control of Cloud Computing in Accounting from the Perspective of Network Security
  • Xiao Chen, Fair and Quality-Aware Task Assignment in Crowdsensing Networks.

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