Invited Session Speakers
| Chair | Topic | Talks |
|---|---|---|
| Jared Markowitz | Toward Mission-Ready AI Systems | 1. Generative Planning for High Speed Navigation in Clutter 2. Active learning for robust machine learning 3. Probabilistically-Safe Stochastic MPC for Highly-Agile Robots 4. Bridging the Human-Machine Information Gap for AI Fighter Pilots 5. ConceptAgent: LLM-Driven Precondition Grounding and Tree Search for Robust Task Planning and Execution |
| Constance Crozier | Coupled power and transport systems | 1. A Bayesian Potential-based Architecture for Mutually Beneficial EV Charging Infrastructure-DSO Coordination 2. Bidirectional Charging Use Cases and Deployability 3. Scalable Optimization for Hydrogen/Battery EV Fleets and Distributed Energy Resources Considering Grid Services 4. Quantifying the Potential of Electrified Supply Chains for Long Duration Demand Flexibility |
| Tirza Routtenberg | Estimation Performance Bounds | 1. Simulation-Based Optimization for Policy Incentives and Planning of Hybrid Microgrids 2. Resource and Performance Improvements of Optimized Convolutional Neural Networks for FPGA Implementations of Automatic Modulation Recognition 3. Breast Cancer Diagnosis via Swarm-Optimized Adaptive Neuro-Fuzzy Inference System 4. Hybrid 1D and 2D CNN-Transformer Architectures for Multilabel 12-Lead EKG Anomaly Detection |
| Enrique Mallada | AI for Safety-Critical Systems: Are We Ready? | Panel Session with Alvaro Velasquez DARPA Amy Henninger DHS Mihai Anitescu ANL |
| Cleon Davis | Resource optimization and machine learning for diagnosis and anomaly detection | 1. Simulation-Based Optimization for Policy Incentives and Planning of Hybrid Microgrids 2. Resource and Performance Improvements of Optimized Convolutional Neural Networks for FPGA Implementations of Automatic Modulation Recognition 3. Breast Cancer Diagnosis via Swarm-Optimized Adaptive Neuro-Fuzzy Inference System 4. Hybrid 1D and 2D CNN-Transformer Architectures for Multilabel 12-Lead EKG Anomaly Detection |
| Zhi Tian and Brian Mark | AI in Wireless | 1. Joint Optimization of Model Splitting and Device Task Assignment for Private Multi-hop Split Learning 2. Causal Digital Twins for Physical System Control. 3. LOS and NLOS Discrimination in Real-World Channel Environments: A Time-Frequency Multimodal Learning Approach 4. Reinforcement Learning-Based Beam Hopping for Anti-Jamming mmWave Communication 5. Cooperation and Decision-Making of LLM Agents in Bayesian-Informed Infinitely Repeated Games |
| Tamim Sookoor | AI for Safety-Critical Systems | 1. AI/ML in Advanced Air Mobility (AAM) applications 2. Testbed For Human-Autonomy Teaming (Testbed4HAT) 3. Countering Drones in The Homeland 4. Bridging Climate Projections and Infrastructure Planning: Advances in Deep Learning-Based Downscaling |