Important Notice: This year the IEEE BigDataSecurity/HPSC/IDS/SmartCloud will be a hybrid conference, due to the visa and virus considerations. For all participants, please do notice all the time mentioned in this booklet is based on time zone New York (UTC-4).
Hybrid Conference Plans: The opening session, keynote speech, talks, and awards will be held onsite. We will also broadcast online at real-time in our conference room link (coming soon).
The program schedule of IEEE BigDataSecurity/HPSC/IDS/SmartCloud is as follows:
Friday, May, 9th, 2025 (New York Time)
| 10:00 – 12:00 | Steering Committee Meeting |
| 14:00 – 16:00 | Registration |
Saturday, May 10th, 2025 (New York Time)
| Conference Room | Room A | Room B |
| 9:00 – 9:45 | Conference Registration | |
| 9:45 – 10:00 | Opening | |
| 10:00 – 10:50 | Keynote 1 (Prof. Bhavani Thuraisingham) | |
| 10:50 – 11:00 | Award Ceremony | |
| 11:00 – 11:15 | Coffee Break | |
| 11:15 – 12:15 | Keynote 2 (Prof. Zhao Li) | |
| 12:15 – 13:00 | Lunch | |
| 13:00 – 14:00 | BDS 1 | HPSC 1 |
| 14:00 – 15:00 | Coffee Break | |
| 15:00 – 15:30 | BDS 2 | IDS 1 |
| 15:30 – 16:30 | SC 1 | IDS 2 |
| 16:30 – 17:30 | Poster (IDS 3,4,5,6) | |
| 17:30 – 20:00 | Banquet | |
Sunday, May 11th, 2025 (New York Time)
| Conference Room | Room A | Room B |
| 9:00 – 10:00 | Keynote 3 (Prof. Yonghao Wang) | |
| 10:00 – 10:55 | BDS 3 | HPSC 2 |
| 10:55 – 11:05 | Break | |
| 11:05 – 12:00 | BDS 4 | SC 2 |
| 12:00 – 13:00 | Lunch | |
| 13:00 – 14:00 | BDS 5 | HPSC 3 |
| 14:00 – 15:00 | BDS 6&7 | HPSC4 |
| 15:00 – 15:30 | Break | |
| 15:30 – 16:30 | SC 3 | HPSC 5 |
IEEE IDS 2025
IDS 1: 05/10/2025, 15:00 – 15:30, Room B
- Javad Mokhtari Koushyar, Mina Guirguis and George Atia, The Role of Aggregator Topology on the Impact of False Data Injection Attacks.
- Kishan Baranwal and Haresh Dagale, A survey of ML Resources for IEC 61850 in Power Grid Security.
- Chen Zhang, Ling Wang, Zhongxu Li, Xiaojun Shen, Yiliang Wang and Kun Tong, A Code Embedding-Based Java Software Risk Detection Method.
IDS 2: 05/10/2025, 115:30 – 16:30, Room B
- Sepideh Neshatfar and Salimeh Yasaei Sekeh, Robust Subgraph Learning by Monitoring Early Training Representations.
- Jichao Ye, Hui Huang, Aoying Ji, Wu Lu, Yonghai Xu and Ping Wang, Multi-Factor Authentication Key Pre-Distribution Scheme for Security Isolation System of Next Hop Resolution Protocol.
- Faten Slama and Daniel Lemire, Enhancing Developer Productivity: Benchmarking LLM-Powered Tools like GitHub Copilot and TabNine in Real-Time Coding Environments.
IDS 3 (Poster): 05/10/2025, 16:30 – 17:30, Room A and Room B
- Ruijian Zha and Bojun Li, FinRL Contest 2025 Task 1: An Improved DAPO-Based GRPO Algorithm with Sentiment-Risk Reward for Enhanced Stock Trading.
- Yan Wang, Yueru He, Ruoyu Xiang and Jeff Zhao, RKEFino1: A Regulation Knowledge-Enhanced Large Language Model.
- Satish Chandra, Enhancing FinRL Trading Agents with Advanced LLM-Processed Financial News: An Improved Approach Using DeepSeek-V3.
IDS 4 (Poster): 05/10/2025, 16:30 – 17:30, Room A and Room B
- Jun-Chi Liu, Jun-Chao Ma and Zhi-Qiang Jiang, AlphaSeek FinRL: A Hybrid Deep Learning Architecture for High-Frequency Cryptocurrency Trading.
- Varun Rao, Youran Sun, Mahendra Kumar, Tejas Mutneja, Agastya Mukherjee and Haizhao Yang, FinRL Contest 2025 Task III.
- Shenjian Li, Mingxuan Yu and Freddie Dossor, Option-Driven Sentiment in FinRL: A PPO Approach to Trading.
IDS 5 (Poster): 05/10/2025, 16:30 – 17:30, Room A and Room B
- Keyi Wang and Xiao-Yang Liu, Parallel Market Environments for FinRL Contests.
- Jean Ndoutoumou, Xiaochang Cheng and Zining Yin, HMM-Based Market Regime Detection with RL for Portfolio Management (added).
- Vorakorn Kosidphokin, Phawat Loedtrakunchai, Atthakorn Sinamnuaiphon and Surawit Kuptanon, FinRL Contest 2025 Task 1: Adaptive Model Selection for Reinforcement Learning in Stock Trading.
IDS 6 (Poster): 05/10/2025, 16:30 – 17:30, Room A and Room B
- Pavel Voropaev and Anna Dektina, FinRL Contest 2025 Task 4: Advancing Financial Standards Comprehension through Domain-Specific MoE Architecture.
- Sahar Arshad, Huma Ameer, Nikhar Azhar and Seemab Latif, FinRL Contest 2025 Task 1: Market-Aware In-Context Learning Framework for Proximal Policy Optimization in Stock Trading.
- Emran Alturki, Aydin Javadov and Björn W. Schuller, FinRL Contest 2025 Task 1: Adaptive Confidence-Weighted LLM Infusion
