Schedule on June 13, 2025

Location: Lecture Hall 2

  • Time
    Event
    Description
  • 09:00--09:10
    Opening Remarks
  • 09:10--09:50
    Invited Talk 1
    Dr. Shaolei Ren
    AI, Energy, and Public Health
  • 09:50--10:50
    Paper Presentations
    (10 minutes each)
    1. MALLM: Multi-Agent Decision-Making with LLMs for Multi-User Edge-Sensor Environments
    2. Rethinking Pruning for Vision-Language Models: Strategies for Effective Sparsity
    3. An LLM-based Agentic Framework for Accessible Network Control
    4. OFCnetLLM: Large Language Model for Network Monitoring and Alertness
    5. A Case Study of Environmental Footprints for Generative AI Inference: Cloud versus Edge
    6. LLMs Performance Evaluation: A Case Study in Climate Change Statements
  • 10:50--11:00
    Coffee Break
  • 11:00--12:30
    Poster
    Sigmetrics Workshop Joint Poster Session
  • 12:30--13:30
    Lunch Break
  • 13:30--14:10
    Invited Talk 3
    Dr. Lei Wu
    Leveraging Machine Learning for Boosting Performance of Power Systems Optimization Problems
  • 14:10--14:50
    Invited Talk 4
    Dr. Shantenu Jha
    AI-Coupled HPC Workflow Applications: A New Paradigm for Extreme-Scale Scientific Applications
  • 14:50--15:20
    Coffee Break
  • 15:20--16:40
    Paper Presentations
    (10 minutes each)
    1. THOR: A Generic Energy Estimation Approach for On-Device Training
    2. Energy-efficient GPU SM allocation
    3. Carbon Friendly Federated Learning Framework for Optimized Distributed Storage Systems
    4. Multi-Agent Reinforcement Learning for Decentralized Reservoir Management via Murmuration Intelligence
    5. On Scalable Multi-flow and Multi-channel Traffic Steering through Hybrid Learning
    6. Learning to Site: A Multi-objective Optimization of Rooftop Solar Installations using Evolutionary Neural Networks
    7. Enhancing Coastal Sea Level Predictions: A Hybrid Approach Combining TimeGAN-Augmented Data, and CNN-GRU Models
    8. Online Quickest Change Detection for Multiple Gaussian Sequences Using Stochastic Band
  • 16:40--17:00
    Conclusion Remarks