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, 8th, 2026 (New York Time)
| 10:00 – 12:00 | Steering Committee Meeting |
| 14:00 – 16:00 | Conference Preparation |
Saturday, May 9th, 2026(New York Time)
| Conference Room | Room A | Room B |
| 8:30 – 9:20 | Conference Registration | |
| 9:20 – 9:30 | Opening | |
| 9:30 – 10:20 | Keynote 1 | |
| 10:20 – 10:30 | Award Ceremony | |
| 10:30 – 10:45 | Coffee Break | |
| 10:45 – 11:35 | Keynote 2 | |
| 11:35 – 12:30 | BDS 1 | HPSC 1 |
| 12:30 – 13:00 | Lunch | |
| 13:00 – 14:00 | BDS 2 | HPSC 2 |
| 14:00 – 14:10 | Coffee Break | |
| 14:10 – 15:10 | BDS 3 | IDS 1 |
| 15:10 – 16:10 | SC 1 | IDS 2 |
| 16:10 – 17:10 | SC 2 | IDS 4 |
| 17:10 – 18:10 | IDS 5 | IDS 6 |
| 18:30 – 20:30 | Banquet | |
Sunday, May 10th, 2026 (New York Time)
| Conference Room | Room A | Room B |
| 9:00 – 10:00 | Industrial Talk | |
| 10:00 – 10:55 | BDS 4 | HPSC 3 |
| 10:55 – 11:05 | Break | |
| 11:05 – 12:00 | BDS 5 | IDS 3 |
| 12:00 – 13:00 | Lunch | |
| 13:00 – 14:00 | HPSC 4 | SC 3 |
| 14:00 – 14:30 | Break | |
| 14:30 – 15:30 | BDS 6 | HPSC 5 |
| 15:30 – 16:30 | BDS 7 | |
IEEE HPSC 2026
HPSC 1: 05/09/2026, 11:35 – 12:30, Room B
- Nidhi Sharma, Responsible AI in CRM Applications: Balancing Automation and Human Judgment in AI-Enabled CRM Workflows.
- Jaswinder Dhillon, AI-Powered Frameworks for Identifying, Monitoring, and Predicting Care Gaps Across Healthcare Systems.
- Himal Ranabhat and Prasanthi Sreekumari, Crashspot: A Geospatial Data Science Approach to Analyzing Traffic Accident Hotspots.
- Hossein Jamali, Sergiu Dascalu and Frederick Harris Jr., Recursive Modeling Epistemic Networks (RMEN): Differentiable Higher-Order Theory of Mind for Interactive Human-AI Collaboration.
HPSC 2: 05/09/2026, 13:00 – 14:00, Room B
- Anath Bandhu Chatterjee, Predictive Analytics in E-Commerce: A Data-Driven AI Approach to Transaction Forecasting.
- Kumar Divyendra and Farokh Bastani, A Reinforcement Learning and Graph Topology Combination Approach to Improving Underwater Sensor Network Parameters.
- Chirag Garg, Manali Arora and Jungmin Lim, Optimized Delta Creation Architecture for Firmware Updates in Multi-server Platform.
- Sreenivas Chandran and Revathi Venkataraman, TIKL-GRACP: A Context-Aware Transport Augmentation for AI-Driven and Virtualized Networks.
HPSC 3: 05/10/2026, 10:00 – 10:55, Room B
- Sanaa Sharaf, Supercomputing and Quantum Key Distribution: Theoretical Framework.
- Samuel Farid, Taj Abdin, Hamidreza Imani and Tarek El-Ghazawi, RAQET: A Reconfigurable Accelerator for QNNs Efficient Training.
- Chao Zhang, Rongqiang Cao, Meng Wan, Jue Wang, Kai Li and Yangang Wang, Optimization of the Generation Phase in Post-Training of Large Language Models Based on RLHF.
- Wenqi Liu, Yihao Xie, Chunbao Zhou, Boyao Zhang and Ningming Nie, Communication-Efficient Training of LLMs with 1-bit Allreduce for ZeRO.
HPSC 4: 05/10/2026, 13:00 – 14:00, Room A
- Jiawei Chen, Wu Ye, Jingyu Guo, Xuezheng Liu and Di Wu, TFlare: A Task-Level Framework for Supporting Diverse Applications on Domestic Heterogeneous Supercomputers.
- Jingyu Guo, Yifei Yang, Wu Ye, Xuezheng Liu and Di Wu, swFleCSI: A Multiphysics Simulation Framework for Heterogeneous Many-Core Platforms.
- Xiao Chen, Diverse Embedding Graph Attention Networks for Personalized Federated Learning.
HPSC 5: 05/10/2026, 14:30 – 15:30, Room B
- Vikrant Sikarwar, Stock Price Prediction Using Time Series Forecasting Model Used HDFC Banking Dataset.
- Vikrant Sikarwar, Data-Driven Credit Risk Analysis with Governance Compliance Using Metadata-Enhanced Machine Learning Models.
- Tian Gou, Zhenglie Sun, Jingqi Sun, Hanwen Wang, Yangang Wang and Boyao Zhang, DDG: Domain-Knowledge Distilled Dual-Gating for Event-Driven Stock Prediction.
