Program
Friday, March 6
Friday, March 6 8:00 - 13:00
V1: Power and Energy Systems (Virtual)
Room: Virtual A
Chairs: Tejas Pravinbhai Patel, Samaresh Kumar Singh, Srinivas Reddy Kosna
- Control Strategy for a STATCOM Under Dynamic Load Implemented in MATLAB/Simulink
- Portable Electric Vehicle Charger Powered by Solar Panels
- Dual-Charging Portable Power Bank with Solar and Grid Using PSO-Based MPPT
- Computational Analysis of DNP3 Security Implementations for Smart Grid
- Sodium-Ion Batteries State of Health Estimation Using Machine-Learning Benchmarks
- Data-Driven Fault Detection and Multi-Label Fault Identification in Transmission Lines Using CNN-LSTM and ML Models
- Comparative Analysis of Centralized Control Strategies for Photovoltaic Battery Energy Storage System Using Deep Reinforcement Learning
- A Case Study on Single-Tuned Filter for Combined Harmonic and Resonance Mitigation
- Advances in the Design of an Instrumented Swivel-Based Mooring System to Improve Process Knowledge of Marine Energy Devices
- Break
- Deep Learning Assisted Battery Management System for Electric Vehicles: SoC and SoH Estimation
- A Resilient Modulatory Advisor Using Soft Actor-Critic for Fault-Tolerant Autonomous Microgrid Management
- Waste-to-Energy: Sustainable Biogas Production from Urban Organic Waste in Jamaica
- Design and Simulation of a Residential Single-Phase Electric Vehicle Fast Charging System
- Commissioning-Driven Reactive Power Control of High-Power Synchronous Motors in LNG Facilities
- Constructability Aspects of Ground Grids for Typical AC Substation and HVDC Converter Stations
- A Multi-Physics PINN Framework for Interpretable Wind Power Ramp Forecasting
- Stochastic Power Forecasting Framework for Hyperscale AI Data Centers
- Fuel Cell and Intelligent Power Processing Using Nonlinear Control and Quantum Computing with the Hadoop Ecosystem
- Comparative Study of Fuel Cell Battery Hybrid Powertrains for Heavy Duty Vehicle Applications
V6A: AI and Predictive Modeling 1 (Virtual)
Room: Virtual B
Chairs: Jagadish Krishna Pilla, Cagri Temel
- Over-Smoothing Effect of Graph Convolutional Networks: Spectral and Topological Analysis with Practical Remedies
- Responsible AI in Cloud Security: A Human-Centric Framework for Transparent Threat Detection and Identity Governance
- X-AD: Explainable Anomaly Detection in Serverless Systems
- Design and Validation of a Machine Identity Governance Framework for AI Agents in Multi-Cloud Environments
- Explainable AI for Predicting SME Loan Defaults Using XGBoost and SHAP
- Data-Driven Insights & Predictive Modeling in Fitness Tracking
- MESDASD: A Medical Expert System for Diagnosing Autoimmune System Diseases
- AIDR-Cloud: An Agentic AI-Driven Incident Response Framework for Cloud Failures
- Secure Federated Learning Under Non-IID and Multimodal Breast Imaging
- Break
- Prediction of Freezing of Gait for Parkinson's Disease Using Hybrid LSTM Attention Framework
- YOLOv8-Based Malaria Parasite Detection in Microscopic Blood-Smear Images
- The Risks of Autonomy: Dynamic Auditing of Self-Editing Language Models in Critical Infrastructure
- Deep Learning-Based Stacked Ensemble Approach for Deepfake Audio Detection
- SML-Net: A Novel Deep Learning Network for the Prediction of the SML Index
- An Improved Attention Gate for U-Net Based Semantic Segmentation of Breast Cancer
- SIGMA: Smart Infrastructure Grid Monitoring AI
- VectorSight: A Domain-Adaptive Framework for Multi-Modal Observability Signal Classification
- Agentic Orchestration of Small Language Models Match Large Language Models on Boolean Question Answering
- Score-Guided Synthetic Experience Replay for Stable off-Policy Reinforcement Learning
Friday, March 6 14:00 - 16:45
V2: Communications and Electromagnetics (Virtual)
Room: Virtual A
Chairs: Karunakar Grandhe, Praveen Kumar Myakala, Saurabh Hitendra Patel
- Robust and Explainable RIC-Based AI Controllers for 6G RAN Automation
- Q-SHaDe: Softwarized Hybrid and Decentralized Clustering for Controller Placement Using Q-Means Algorithm
- Soft-Q: Softwarized Quantum Network for ERNET Topology Using a Multi-Layer Graph Decomposition
- Comparative Analysis of Improved BiLSTM and BiGRU Architectures for Scalable Mobile Traffic Forecasting in Wireless Networks
- Comparative Risk Assessment of VRUs and AVs Across Urban Intersections
- A System-Oriented Framework for Coexistence Testing of Multi-Radio Platforms in the 2.4 GHz Band
- Reliable mmWave LoS/NLoS Classification via Large Wireless Model Embeddings
- ML-Based Parameter Adaptation for OFDM-ISAC: A USRP Experimental Study
- Low-Latency and Secure Port Selection for Fluid Antenna Systems: A Hardware-AI Co-Design
- Break
- Reliable mmWave Blockage Detection Under Severe Imbalance: RUS/SMOTE with Ensemble Models
Friday, March 6 14:00 - 20:30
V6B: AI and Predictive Modeling 2 (Virtual)
Room: Virtual B
Chairs: Ravi P Gollapalli, Vineet KR Mishra, Akshay Pratinav
- Evaluating LLMs Accuracy in Solving Coding Problems of Different Complexity Levels: An Empirical Analysis
- Enhancing Autonomous Vehicle Testing in CARLA Under Dynamic Weather Conditions
- Data-Driven Predictive Modeling of Stress and Sleep Issues in Young Adults from Device Usage
- DroneSense: An Acoustic Deep Learning System for UAV Detection Using Spectrogram Analysis
- AI Augmented Big Data Framework for Edge Driven Threat Intelligence in Software Defined Networks
- Improving Gemini's Ability to Generate Syntactically Correct Mermaid Code
- Graph Spectra of Technical Documentation
- A Forward Chaining Expert System for Multi-Dataset Mental Health Assessment and Personalised Behaviour and Recommendations
- IRSim: AI Generation of Infrared Images
- Break
- Customer Financial Fraud Detection and Risk Profiling Using a Cloud-Native Swarm of AI Agents on AWS
- Synergetic Adaptive Orchestration and Governance: A Unified Framework for Production-Grade Multi-Agent Systems
- Scaling YOLOv8n for Road Object Detection Under Limited Data: A Comparative Study Using BDD100K Subsets
- Characterizing and Predicting Wildfire Evacuation Behavior: A Dual-Stage ML Approach
- Dynamic Anchors for High Precision and Coverage Explanations - Preliminary Results
- Scribia: A Multimodal Context-Aware Voice-to-Text Composition System with Real-Time Visual Understanding
- GPT for Botnet Detection
- GPT Model for Incident Response
- LLM-Based Framework for Improving Code Quality in Oilfield Data Acquisition Systems
- Hybrid Rule-Based and Deep Learning System Using GNNs to Detect Credit Card Fraud
- Framework for the Design and Evaluation of Patient-Friendly AI-Generated Medical Reports
Friday, March 6 16:45 - 18:15
V3A: Computing Systems 1 (Virtual)
Room: Virtual A
Chairs: Saurabh Hitendra Patel, Tamseel Syed, Ebonee A. Walker
- Engineering Management for AI-Driven Software Quality Assurance: Practices, Challenges, and Future Directions
- Proximity Effect Correction in Electron Beam Lithography Using CUDA to Increase Efficiency
- Future Direction of HPC System: Challenges, Solutions, and Evolving Management Strategies
- SecureLogX: A Java-Native, AI-Augmented Logging Framework for Privacy-Preserving, Parallel Log Processing in Enterprise Systems
- Time-Stepped Cyber-Physical Simulation of DoS, DoD, and FDI Attacks on the IEEE 14-Bus System
- Remote Access Interaction Models in Industrial Control Systems: A Threat Analysis of Control, Mirroring, and Proxy-Human Patterns
Friday, March 6 18:15 - 18:45
V9A: General 1 (Virtual)
Room: Virtual A
Chair: Abla Hariri
Friday, March 6 18:45 - 19:15
V10B: Makeup Session 2
MAX TWO PAPERS
Room: Virtual AChair: Saurabh Hitendra Patel
Saturday, March 7
Saturday, March 7 8:00 - 13:00
V3B: Computing Systems 2 (Virtual)
Room: Virtual A
Chairs: Karthik Pappu, Tejas Pravinbhai Patel
- Living-off-the-Land Attacks: Exploiting Windows Defensive Blind Spots in Memory-Based Threats
- Designing Event Driven Data Synchronization for Regulatory Grade Financial Platforms
- Quantum-Inspired Constrained Matching for Large-Scale Banking Reconciliation Under Tolerance and Many-to-Many Breaks
- AI-Driven IoT Architecture Using Electric Vehicles for Emergency Healthcare Monitoring and Response
- Data Allocation for Performance Improvement in Edge Computing
- Blockchain Transaction Anomaly Detection
- Assessing Planning Algorithms for Structuring LLM-Derived Workflows in Agentic AI Systems
- Population-Based Meta-Heuristic Hyperparameter Optimization for Intrusion Detection on the NSL-KDD Dataset
- Accelerating Next-Gen Network Security: High-Throughput AES-GCM on Modern Data Center GPUs
- Break
- Multi-Layered Security Architecture for Cloud-Native Databases- Design Patterns and Implementation
- MRI Reconstruction with Parallel Computing
- Distributed Convoy Navigation System with Latency Compensation, Sensor Fusion, and Vision-Language Route Interpretation
- A Policy-Driven Method for Preventing Cloud Storage Misconfiguration Breaches
- Cell-Based Architecture for Solving Data Integrity in Microservices
- Adaptive Access Control for Preventing Credential-Based Data Exfiltration in Cloud Analytics Platforms
- Building Secure and Trustworthy AI for Healthcare Critical Infrastructure
- Accelerating the Cloud: A Taxonomy of SmartNIC and DPU Architectures for High-Performance Generative AI Workloads
- Engineering Reliable Retrieval-Augmented Generation for Regulatory and Compliance Systems
- Design, Implementation, and Evaluation of a Cloud Native Real-Time Distributed System Using Kubernetes and AWS
V6C: AI and Predictive Modeling 3 (Virtual)
Room: Virtual B
Chairs: Shiva Kumara, Fang Sun
- Explainable AI for Marketing Intelligence: Interpretable Multi-Agent Systems for Data-Driven Decision Support
- Evaluating the Impact of Data Anonymization on AI Model Performance Across Sensitive Domains
- Scalable AIOps: A Framework for Lightweight Observability and Anomaly Detection in Large-Scale Cloud Clusters
- IntelliTradeAI: A Tri-Signal Fusion Framework for Explainable AI-Powered Financial Market Prediction
- An Evidence Bundle Framework for Operationalizing Trustworthy AI in Engineering Workflows
- ScalePulse: Combinatorial LLM Framework for Scalability Constraint
- Towards Trustworthy Autonomous Robots: An Explainable AI-Based Decision Framework
- Beyond the Black Box: Applying XAI to Supervised Multiclass Intrusion Detection
- Compiler-Guided Inference-Time Adaptation: Improving GPT-5 Programming Performance in Idris
- Break
- Privacy Without Compromise: Benchmarking Local Open-Weight LLMs for Financial Data Extraction
- Robust Socioeconomic Community Discovery from Census-Derived Indicators via KNN Graphs and Louvain Stability-Conductance Analysis
- When Do Tools and Planning Help LLMs Think? A Cost- and Latency-Aware Benchmark
- Seconds from Impact: Anticipatory Vehicular Crash Prediction Using Video Vision Transformers
- A Cloud-Native Generative AI Agent Architecture for Predictive Cardiovascular Health Analytics
- Data-Driven Decision-Making for Secure Financial Credit and Cyber-Risk Systems
- Machine Learning-Based Demand Forecasting Models for Large-Scale Retail Analytics
- Use of Machine Learning in IaC State and Concurrency Management
- Attack Detection in Internet of Medical Things Using Machine Learning
Saturday, March 7 14:00 - 17:45
V3C: Computing Systems 3 (Virtual)
Room: Virtual A
Chairs: Kaushik, Ravi P Gollapalli
- Towards Trustworthy Online Sealed-Bid Auctions: Challenges and Future Directions
- Real-Time Multimodal Sensing and Spatiotemporal Event Logging on Mobile Devices
- An Enhanced Deep Reinforcement Learning (DRL)-Guided Hybrid Planner for Unmanned Aerial Vehicle Path Planning in Complex Environments
- KubeNetLLM: An Architectural Framework and Experimental Validation for Context-Aware Kubernetes Network Configuration Using LLMs and MCP
- Sweat2Scroll: An Energy-Efficient Policy Enforcement Architecture for Mobile Edge Environments Using WebAssembly
- Maximizing ROI Through AI Adoption in Software Performance Engineering and Testing
- A Comparative Study of API Deployment on on-Prem, EC2, and AWS Lambda
- Understanding Stability of Choices: Toward Robust Choice-Based Authentication in Cybersecurity
- Performance Enhancement of Cloud-Native Data Integration Pipelines Using AWS Glue
- When "No Shared Libraries" Stops Working in Distributed Systems
- Break
- AI-Driven Cybersecurity Monitoring for Cloud Infrastructure and Identity Systems
- Red-Team Prompt Injection Defense Using Multi-Context Protocol (MCP)
- Human-Centered Explainable AI for Security Enhancement: A Deep Intrusion Detection Framework
- Detecting Injection Attacks in REST APIs Using DNIARS
Saturday, March 7 14:00 - 19:15
V6D: AI and Predictive Modeling 4 (Virtual)
Room: Virtual B
Chairs: Greg Bacon, Het Mehta, Raziq Yaqub
- Automated Population-Level Audit Assurance via AI-Based Document Intelligence
- Bias-Forecasting: Predicting Ethical Failures in AI Models Before Deployment
- Autonomous ASN Label Compliance Using a Hybrid YOLOv8-Vision-Language Framework & Florence 2
- Self-Supervised Pretraining and Calibrated Fine-Tuning for Common and Rare Thoracic Findings on Chest Radiographs
- Always-on Vs Gated External Signals for Demand Forecasting on the M4 Dataset V1.1
- TrustBench: Benchmarking Trustworthy Large Language Models with Cost and Stability Metrics
- A Tiered Multimodal Memory and Event-Graph Architecture for Real-Time Agentic Reasoning Systems
- Explainability First: Designing Trustworthy Machine Learning Models for Real-World Deployment
- Agentic Data Pipeline Orchestration with Multi-Agent AI
- Accelerating Enterprise Application Development Through AI-Enhanced Low-Code Platforms: An Empirical Analysis of Oracle APEX with Generative AI Integration
- Break
- From Bits to Trust: AI-Driven Reconfigurable Security
- Governed Agentic AI for Software Platforms: A Reference Architecture for Safe Autonomy at Scale
- LeafCam: Universal AI Camera System for Real-Time Plant Health Detection
- A Probabilistic Multi-Signal Framework for Directional Movement Forecasting in Financial Time Series: A Statistical Learning Perspective
- P2Maze: A Protocol-Paired Sim-to-Real Robot Maze Navigation Dataset for Zero-Shot Transfer and Few-Shot Adaptation
- Prediction and Optimization of S11 (Reflection Coefficient) in Log-Periodic Toothed Antennas on Flexible Kapton Substrate Using Machine Learning
- Privacy-Preserving on-Device AI for Personalized Mobile Video Advertising
- Small Language Model Jailbreak Defender Framework
- Post-Earthquake Structural Damage Classification from Ground-Level Imagery Using Transfer-Learning Convolutional Neural Networks
Saturday, March 7 17:45 - 19:15
V9B: General 2 (Virtual)
Room: Virtual A
Chairs: Khloud Assran, Shruti Hardia
Sunday, March 8
Sunday, March 8 8:00 - 10:15
V3D: Computing Systems 4 (Virtual)
Room: Virtual A
Chairs: Ashwin Ashok, Krishnam Raju Narsepalle, Nabeel M Sheikh
- A Four-Pillar Framework for Achieving 99.9% Reliability in Early-Stage Distributed Systems
- Benchmarking AI Vs Human Decision-Making in Product Management: A Controlled Study on Prioritization and Roadmap Quality
- Enhancing Software Supply Chain Security Through Cryptographic Package Integrity Verification
- Effect of Shift-Left Security Testing on Early Vulnerability Detection in CI/CD Pipelines
- Evaluating Time Series Databases Across Wide and Narrow Schema Designs for Appliance-Level Residential Energy Monitoring
- A Comparative Study of Jaccard Similarity, Exact String Matching, and SQL Pattern Search Methods
- AI-Augmented Technical Debt Management in Legacy Software Systems
- Limiting Ransomware Propagation in Healthcare Systems Using Dynamic Trust Scoring
- A Finite-State Machine (FSM)-Based Approach for Detecting SMS Phishing
Sunday, March 8 8:00 - 13:00
V6E: AI and Predictive Modeling 5 (Virtual)
Room: Virtual B
Chairs: Micaela Siraj, Sunil Kumar Vadlamani
- Safeguarding Federated Learning Model in Internet of Vehicles (IoV) Through Utilization of Fake Neurons
- From Pixels to Probabilities: A Streamlined Interpretable Model for Digit Classification Using PCA Denoising and KDE
- EDE-SLM: Execution-Driven Ensembles for Sub-1B Code Generation Models
- Adaptive Token Routing for Heterogeneous LLM Inference in Edge-Cloud Continuum
- A Decision-Analytic Methodology for Capacity-Constrained User Re-Engagement Using Behavioral Signals
- Adaptive Load Balancing for Multi-Tier LLM Inference with Dynamic Model Routing
- DeepServe: Hierarchical Model Placement and Dynamic Batching for Cost-Efficient Multi-Tenant LLM Inference at Scale
- Trust-Aware Professional Identity Representation in AI-Mediated Systems
- Sparse Selective Hyper-Connections: A Unified Framework for Stable and Efficient Deep Residual Learning
- Break
- Hybrid LLM Architectures for on-Device and Cloud-Based Intelligence in Regulated Industries
- Detecting Malicious and Phishing URLs Using NLP-Based Preprocessing and Machine Learning Approaches for Classification
- Machine Learning-Driven Resource Utilization Prediction for Scalable Cloud Infrastructure Management
- Metaheuristic-Based Frameworks for Energy-Efficient Load Balancing and Task Scheduling in Cloud Computing Systems
- VoiceBook: Self-Improving Voice Agents for Appointment Booking Through Adversarial Dialogue Self-Play
- FinRAI-Bench: A Minimal Benchmark Contract and Evidence Bundle for Responsible Evaluation of Financial Decision Models
- AI-Driven Real-Time Data Synchronization in Distributed Financial Systems
- Predictive Modeling of Packet Behavior in Network Flows Using Initial Packet Sampling
- AI-Driven Brainwave Analysis for Anomalous Neurological Event Detection
- Instant Segmentation for IoT-Enabled Smart-Grid Networks with a Hybrid Small Language Model Policy Selection
Sunday, March 8 10:30 - 12:00
V4: Signal and Image Processing (Virtual)
Room: Virtual A
Chairs: Tejas Pravinbhai Patel, Vasanth Rajendran
- Grain Boundary Segmentation in Additively Manufactured Stainless Steel 316L Using Transformer-Based Vision Model
- A Scalable Hybrid Model for EEG-Based Stress Detection Toward Real-Time Deployability
- Bin-Based R: Resource-Efficient RF Modulation Classification Using Envelope Statistics
- A Novel Deep Learning Approach for Breast Tumor Applications Using Histopathological Images
- VAE-Based Unsupervised Learning of FEM-Simulated EIM Measurements for Neuromuscular Disease Detection Under Muscle and Fat Thickness Variations
- A Systematic Study of Depth-Aware Text-to-Image Generation for Underwater Object Detection
Sunday, March 8 12:00 - 13:00
V5A: Microelectronics, Devices and Sensors 1 (Virtual)
Room: Virtual A
Chair: Ravi P Gollapalli
Sunday, March 8 14:00 - 14:30
V5B: Microelectronics, Devices and Sensors 2 (Virtual)
Room: Virtual A
Chair: Tamseel Syed
Sunday, March 8 14:00 - 19:15
V6F: AI and Predictive Modeling 6
Room: Virtual B
Chairs: Syed Danish Ali, Abdul Salam Abdul Karim, Gokul Pandy
- AI-Driven User-Centric Design: Adaptive Interfaces as Runtime Systems
- Vision Transformers for Thermal Weapon Segmentation
- A Self-Aware Data Platform with Predictive Elasticity: Closed-Loop Autonomy for Elastic, Reliable, and Governed Analytics at Scale
- Balancing Privacy and Model Performance: An Experimental Analysis of Data Anonymization Techniques
- Deductive Modeling of User Satisfaction: A Synthetic-User Digital Twin Framework for Early Software Adoption Analysis
- Operationalizing Multi-Agent Interoperability via Contract-Driven Model Context Protocols
- Autonomous Reliability Engineering: A Scalable Agentic AI Framework for Enterprise Infrastructure Support
- Risk-Adaptive Authorization for Agentic AI Systems
- A Unified ML/RL Framework for Intraday Trading with Risk-Aware Evaluation and Explainability
- Break
- Evaluating AI Effectiveness in Small and Rare Object Detection Using Controlled Synthetic Data Generation Environments
- A Comparative Study of Machine Learning Models for Multiclass Employee Absenteeism Prediction with Explainability
- CLoS-VAE: A Steerable Approach for Exploring Images
- Is Adversarial Vulnerability a Real Trade-off in LoRA Fine-Tuned Models?
- Integrative Analysis of Gut Microbiome Profiles in Rheumatoid Arthritis Using Differential Abundance, Beta Diversity, and Sparse Machine Learning
- Ethical Governance Frameworks for AGI in Cyber-Physical Systems
- Physics-Embedded Feature Learning for AI in Medical Imaging
- Evaluating ML Algorithms for Internet of Things (IoT) Identity Attacks Using CICIDS2017 Dataset
- Comparative Analysis of Machine Learning Models for Efficient MOSFET Current-Voltage Modeling
- Efficient AI-Powered Decision Support Systems: A Framework for Scalable Real-Time Predictions
Sunday, March 8 14:30 - 17:00
V7: Automation, Dynamical Systems and Controls (Virtual)
Room: Virtual A
Chair: Ebonee A. Walker
- Vision-Guided Segregation of Biomedical Waste Using AI-Driven Control Architecture
- Smart Labeling and Pallet Simulation in Warehouse Optimization System
- Cable-Driven Adaptive Upper Limb Exoskeleton for Daily Assistance
- Control-Aware Fault Propagation and Latency Analysis in Distributed Automotive Electrification Architectures for ADAS Applications
- Generalized Euler-Lagrange Jump Conditions for Hybrid Systems
- Neural Process-Based Reactive Controller for Autonomous Racing
- Real-Time Hardware-in-the-Loop Validation of Metaheuristic-Based PID Speed Control for a PMDC Motor
- Break
- End-to-End Automation of Oracle Patching: A Self-Service Model for Regulated Environments
- The Drone Tree Network: A High-Assurance Distributed Framework for BVLOS-Compliant UAV Logistics
Sunday, March 8 17:00 - 18:00
V8: Engineering Education (Virtual)
Room: Virtual A
Chairs: Sherif Abdelhamid, Stephen Andrew Wilkerson
- The Gen AI Generation: Student Views of Awareness, Preparedness, and Concern
- Quantifying Cross-System Curriculum Alignment: A Reproducible and Interpretable Method
- Producers-Consumers Synchronization: An ABET Student Outcome Assessment Project
- TAM-GT: Topology-Aware Multi-Modal Graph Transformer for Analog Circuit Netlist Generation
Sunday, March 8 18:00 - 18:30
V9C: General 3 (Virtual)
Room: Virtual A
Chair: Krishna kishore Pilla
Sunday, March 8 18:30 - 19:15
V10D: Makeup Session 4
MAXIMUM 3 PAPERS
Room: Virtual ASunday, March 8 19:15 - 19:45
V5C: Microelectronics, Devices and Sensors 3 (Virtual)
Room: Virtual B
Chairs: Krishna Kandi, Vaibhav Pandey
Monday, March 9
Monday, March 9 8:00 - 13:00
V6G: AI and Predictive Modeling 7 (Virtual)
Room: Virtual B
Chair: Tarek Youssef
- Explainable AI Techniques for Transparent Algorithmic Trading Decisions
- Agentic Correlation Engine: Dynamic Incident Generation Based on Knowledge Graphs
- From Prototype to Production: A Checklist for Production-Ready AI (Focused on Data Quality, Monitoring, and Human Oversight)
- Hybrid Federated and Split Learning for Privacy Preserving Clinical Prediction and Treatment Optimization
- Security-Aware Retrieval-Augmented Generation System for Post-Quantum Cryptography Intelligence
- Balancing Accuracy, Interpretability, and Efficiency in Credit Risk Prediction: A Comparative ML Study with SHAP Explanation
- Analysis of Heterogeneous Collaborative Spectrum Sensing Applied to Emitter Identification
- Self-Healing Security Orchestration for Financial Fraud Systems: Autonomous Incident Response and Infrastructure Stabilization
- Real-Time Energy Optimization and Predictive Maintenance for Commercial Building Portfolios Using Tensor-Based Multi-Zone Modeling
- Break
- Fine-Tuning Large Vision Models for Robust Diabetic Retinopathy Detection
- Street2Sat: Lightweight Cross-View Geo-Localization via Topological Graph Matching
- Deduplication-Aware PowerShell Malware Detection Using Similarity Components and Prototype
- CNN-Based Detection of Bearing Race Defects from Variable Reluctance Sensor Signals
- Energy-Efficient Transformer Inference: A Comparative Analysis of Model Size, Latency, Energy Consumption, and Carbon Footprint
- Reliable AI for Predictive Modeling: From Training- Time Accuracy to Operational Forecasting
- Nomad-AMR: Generative Edge Intelligence and Predictive Modeling for Antimicrobial Stewardship in Data-Scarce Populations
- From Social Engineering to Financial Fraud: A Multi-Agent LLM Approach to Vishing Detection
- Performance Evaluation of Deep Learning Models for Early Detection of Infectious Diseases in Healthcare Systems
- Statistical Modeling of Vehicle Dynamics from Sensor Data for Autonomous Vehicle Testing
Monday, March 9 14:00 - 19:00
V10: Makeup Sessions (Virtual)
Room: Virtual B
Chairs: Wael Al-Kouz, John N. Spitzmiller
- Automated Schema Enforcement and Stateless Deduplication in Distributed Data Pipelines: A Contract-Driven Approach
- Understanding Human-AI Teaming and Engagement Behaviors in Critical Mission Scenarios in Virtual Environments
- A Virtual Braille Keyboard Prototype for Accessible Text Input on Smartphones
- Edge-AI Awareness Module for Autonomous Indoor Spaces: A Privacy-Preserving Multimodal Sensing Prototype with a Nonclinical Fall-Detection Case Study
- Can Domain Transfer Counter Adversarial Attacks in Traffic Sign Classification Systems?
- Unsupervised Skin Lesion Segmentation Using Recursive Quantum-Inspired Annealing and Similarity Refinement
- Privacy-Preserving Lung Nodule Segmentation via Detection-Guided Coordinate Attention
- Deterministic Kinematic Synchronization for High-Speed Manipulation of Non-Rigid Substrates
- Trend-Aware TinyML Co-Design on Microcontrollers: Quantization, Structured Sparsity, and on-Device Adaptation Under Tight Memory-Energy Budgets
- Break
- Scalability-Aware Performance Analysis of Edge Nodes in Large-Scale IoT Networks
- Toward Transparent Document Intelligence: An Instrumented LLM-Based Framework with Hybrid Retrieval
- Detecting Spoofed Remote ID Messages Using Radio-Frequency Fingerprints: A Python-Based Simulation Study
- Quantum-Enhanced Transactional Cloud Operations Using Agentic AI
- Control and Safety Boundaries for Agentic AI in Cloud-Native Distributed Systems
- A Comparative Analysis of Large Language Models on Integration by Parts
- An Ambient Assisted Finite Element Approach for DLR Evaluation of Transmission Lines Based on FERC Order 881
- AI Smart Stick for Elderly and Visually Impaired Individuals Using YOLO Methods
- Machine Learning Algorithms for FPGA Implementation in Software Engineering Applications
- Hybrid Deep Learning and Statistical Forecasting for Short-Term Electric Load
Friday, March 13
Friday, March 13 8:00 - 10:00
Track 1 -: Power and Energy Systems-Session 1
Room: Embassy - Big Spring A
Chair: Greg Bacon
- Strengthening IEC 61851 Charging Security Through Image-Based Vehicle Presence Verification
- Multi-Objective Optimization and Finite Element-Based Verification of High-Frequency Solid-State Transformer for Multi-Port Smart Grid Applications
- Ultra-Fast Wiring-Diagrams Generation: Case Study "Caxias Norte" 525/230/138 kV Power Substation
- An Engineered System Concept for Early Detection of Dry-Type Transformer Failures
- Analysis of Single-Switch Capacitive-Coupled WPT Systems with Two Receivers
- Multi-Threat Cyberattack Detection in Grid-Integrated PV Systems Using Physics-Preserving Isolation Forests
Track 3 -: Computing Systems-Session 1
Room: Embassy - Big Spring B
Chair: Ebonee A. Walker
- Evaluating Migration Strategies: A Scoring-Based Comparison of Big Bang and Incremental Approaches
- Detecting ROS 2 Man-in-the-Middle Attacks in Simulated Environments with NLPSA
- Optimizing Multi-Path Routing in Large-Scale Quantum Networks Using Quantum Annealing
- Defense Methods for Adversary Patches in Autonomous Robotic Systems
- Mining User Forums to Evaluate Quality-in-Use of Environmental Software
- Impact of Ordering on Sparse Tensors
Friday, March 13 8:00 - 9:00
Track 5: Microelectronics, Devices and Sensors- Session 4
Room: Embassy - Redstone
Chairs: Vijaya Sai Munduru, Yesha Patel
Friday, March 13 8:00 - 10:00
Track 5 -: Microelectronics, Devices and Sensor-Session 1
Room: Embassy - Big Spring C
Chair: Sabrina Perry
- A Wearable Multi-Modal Sensing Fusion Approach for Physical Fatigue Monitoring
- A Comparative Analysis of Full-Custom and Automated Open-Source EDA Flows for Lisp Hardware Acceleration
- Development of a High-Power Millisecond Macropulse Laser for Laser-Assisted Charge Exchange at the Spallation Neutron Source
- Low-Cost Multisensor Soil Monitoring and Random Forest Regression for Composite Soil-Health Estimation: An Iterative Design and Data-Quality Study
- Analysis and Realization of Fractional-Order Tow-Thomas Biquad Using a Cole-Impedance Model
Track 6 -: AI and Predictive Modeling-Session 6
Room: Embassy - Big Spring D
Chair: Saman Sargolzaei
- Performance Evaluation of LSTM and PINN for Internal Resistance Estimation in Lithium-Ion Batteries
- Conformal Prediction Strategies for the Cherry Blossom Day Problem
- Personalized Real-Time Financial Expense Categorization AI Using OCR and Retrieval-Augmented Generation
- The Ethical Considerations of Using Artificial Intelligence-Driven Variable Price Models in Healthcare Compliance
Track 7: Automation, Dynamical Systems and Controls - Session 3
Room: Embassy - Madison
Chair: Joyjit Roy
Track 7 -: Automation, Dynamical Systems and Controls-Session 2
Room: Embassy - Monte Sano
Chair: John N. Spitzmiller
- Flexible Drones: ROS 2 Action-Based Coordination of Multiple Heterogeneous Drones
- Design, Fabrication, and Performance of a Multi-Layer Thermal Plant with Digital Control for Precision Timing Research and Development
- Design of Lidar Based Sweeper Robots: 3D Game Engine Simulations and Experimental Results
- Improved Hopping Control on Slopes for Small Robots Using Spring Mass Modeling
- Angle-Free Mobile Robot Position Control
Friday, March 13 10:30 - 12:00
Track 1 -: Power and Energy Systems- Session 2
Room: Embassy - Big Spring A
Chair: Robert Smith
- Assessing Environmental Risk Factors in Smart Grids: A Framework for Reducing Greenhouse Gas Emissions and Analyzing Plant Efficiency
- Marine EV (E-Boat) Battery Charging System
- Kalman-Augmented Estimation for Enhancing the Reliability Analysis of Power Electronic Converters via Sensor-Error Mitigation
- Real-Time Validation of Hierarchical Control for Inverter-Based Resources in Islanded Microgrids
Track 2: Communications and Electromagnetics - Session 3
Room: Embassy - Madison
Chair: Suresh Chaganti
- Characterization of Solar Radiation Effects on Free Space Optical Communication Using High-Altitude Balloon Measurements
- Resource Allocation for Deep Joint Source-Channel Coding-Assisted Earth Observation Missions in LEO Satellite Systems
- Deep Learning for Anomaly Detection in Satellite Signal Traffic: Securing Space-Based Infrastructure
Track 3 -: Computing Systems-session 2
Room: Embassy - Big Spring B
Chair: RN Uma
Track 5 -: Microelectronics, Devices and Sensors-Session 2
Room: Embassy - Big Spring C
Chairs: Laurence Mailaender, Yesha Patel
- Experimental Setup to Measure and Validate the Admittance Phase of an Integrated Circuit Realization of a Fractional-Order Capacitor
- Simulation and Experimental Validation of AlGaN/GaN HFET Electrical Characteristics
- Design and Evaluation of a Multi-Sensor Wearable System for Obstructive Sleep Apnea Risk Assessment
- Modified Relaxation Oscillator Sensor Interface Circuit to Reduce Connection Wire Count
Track 6 -: AI and Predictive Modeling-Session 7
Room: Embassy - Big Spring D
Chair: Bhushan Lohar
- A Transformer-Based Forward Model for Aerosol and Ocean Data Retrieval from Polarimeters
- Projecting Fundraising Impact of Diagnostic Criteria Revisions Using Rubin Causal Inference with Time-Varying Treatment Prevalence
- Secure and Offline-Capable Enterprise CRM Using on-Device Large Language Models
- Fortress: A Case Study in Stabilizing Search Recommendations via Temporal Data Augmentation and Feature Pruning
Track 8: Engineering Education - Session 3
Room: Embassy - Redstone
Chairs: Yukti, Delores Parker Baker
Track 8 -: Engineering Education-Session 1
Room: Embassy - Monte Sano
Chair: Ebonee A. Walker
- EduCore: A Privacy-Aware LLM-Driven Education Framework with Intelligent Multi-Agent Support
- Generative AI as a Motivational Support in Undergraduate Electrical and Computer Engineering Education
- An AI-Assisted Framework for Dynamics and Control Laboratory with Chatbot-Supported Multiple Representations of Learning
- A Research to Practice of Privacy, Fairness, and Utility Tradeoffs in Federated Learning
Friday, March 13 13:00 - 15:00
Track 1 -: Power and Energy Systems- Session 3
Room: Embassy - Big Spring A
Chair: Bobby Johnson
- Non-Linear Droop Control for Islanded Grid-Forming Inverters Supplying Residential Air Conditioners
- Neural-Network-Based Modeling of Three-Phase Grid-Forming Inverters
- Substation Ground Grid Design & Common Issues
- Comparison of Data-Driven Modal Identification Techniques for Low-Frequency Oscillations
- Building Information Modeling as a Strategic Tool to Implement PV+BESS Microgrids That Enhance Grid Resilience and Sustainability: A Case Study in the World Heritage Island of Fernando de Noronha, Bra
- A Method for Modeling Photovoltaic Characteristics Under Artificial Partial Shading
Track 3 -: Computing Systems-Session 3
Room: Embassy - Big Spring B
Chair: Arman Sargolzaei
- Automated Testing in a Multi-Agent Systems Simulation Platform
- A Survey of IoT Worm Behavior and Evolution
- Selecting Emerging Non-Volatile Memories for Embedded and IoT Systems: A Practical Guide
- SCOPE: Satellite Communication Security Analysis and Mitigation Strategies Using STRIDE and Data Flow Diagrams
- A Systematic Evaluation of Data Poisoning Severity Under Label Flipping and Gradient Manipulation Based Attacks
- Availability Attacks Without an Adversary: Evidence from Enterprise LANs
Track 4: Signal and Image Processing - Session 4
Room: Embassy - Madison
Chair: John N. Spitzmiller
Track 5 -: Microelectronics, Devices and Sensor-Session 3
Room: Embassy - Big Spring C
Chair: Ahmed Elsayed
- Ultra-High-Frequency Transmission Analysis and Comparative Evaluation of Various TSV Geometries
- Design and Silicon Bring-Up of a CMOS Integrated Circuit in 180 nm Technology
- A Continuous-Time Auto-Ranging Interface for Wide-Dynamic-Range Resistive Sensing
- A Sampling Frac-N PLL with Current Steering Inverse-Constant-Slope DTC
- Optical Field and Absorbed Photon Density Mapping for CMOS SPADs
- A Low-Cost, Rapidly Deployable Apparatus for Atmospheric Characterization Measurements
Track 6 -: AI and Predictive Modeling- Session 8
Room: Embassy - Big Spring D
Chair: Aniruddha Maiti
- Neural Network Surrogate Model for Predicting Dielectric Properties and Optimizing V2O5 Doping in Mg0.85Co0.15Fe2O4 Ferrites
- AI-Based Uncertainty Estimation for Risk-Aware Lane Departure Warning System to Enhance Roadway Safety
- Spectrally Constrained VAE-WGAN-GP for EMG and Ultrasound RF Signal Synthesis in Hand Motion Estimation
- Development of a Multi-Modal Sensor Fusion Framework for Digital Twin Synchronization in Smart Manufacturing
- Implementing Dynamic Consent Mechanisms in Multi-Agent AI Systems: A Practical Framework
- Leveraging Machine Learning Algorithms in Two Car Crash Detection Systems on a Custom Dataset
Track 9 -: General - Session 1
Room: Embassy - Monte Sano
Chair: Romail Arif
Friday, March 13 15:30 - 16:30
Track 1 -: Power and Energy Systems-Session 4
Room: Embassy - Big Spring A
Chair: Rawan Taha
- Dictionary Learning-Based Multi-Class Detection of Attacks and Faults in Power Systems
- Effectiveness of ANFIS Control Based Hybrid Energy Storage in Maintaining DC Grid Power Quality During EV Load Variations
- Genetic Algorithm-Based Inductance Optimization of a Multi-Port High-Frequency Transformer for MAB Solid-State Transformers
Friday, March 13 15:30 - 17:00
Track 3 -: Computing Systems- Session 4
Room: Embassy - Big Spring B
Chairs: Yukti, Guillermo Campos
- Documenting ROS 2 Systems with ROS 2 Snapshot
- Automated Evaluation of Authentication Features of Web Pages from the Low Vision User Perspective
- Modernizing Legacy CRM into Insight Platforms in Regulated Domains Using Microservices and Governed Data Pipelines
- Scalable Explainability-as-a-Service (XaaS) for Edge AI Systems
Track 4: Signal and Image Processing - Session 5
Room: Embassy - Madison
Chair: Amol Bhatnagar
Track 6 -: AI and Predictive Modeling- Session1
Room: Embassy - Big Spring C
Chair: Malar Mangai Kondappan
Track 6 -S9: AI and Predictive Modeling-Session 9
Room: Embassy - Big Spring D
Chair: Dhivya Guru
Track 8 -: Engineering Education-Session 2
Room: Embassy - Monte Sano
Chair: Lionel E. Standridge
- BlindDefender: An Educational Game for the Visually Impaired
- An Interactive MATLAB Truss Builder for Problem Based Learning and Rapid Assessment in Engineering Statics
- Evaluating the Impact of a Game-Based Hackathon on Cybersecurity and AI Confidence: A Quantitative Study with Exploratory Gender Analysis
Friday, March 13 15:30 - 16:30
Track 9: General - Session 3
Room: Embassy - Redstone
Chair: Pallab Haldar
Saturday, March 14
Saturday, March 14 8:00 - 10:00
Track 3 -: Computing Systems-Session 5
Room: Embassy - Big Spring B
Chair: Saman Sargolzaei
- Building HIPAA-Compliant Offline Edge CRM Workflows with Secure ePHI Management and Resilient Synchronization
- Hybrid RISC-V Coprocessor Architecture for Convolutional Neural-Network Inferencing
- Generative Adversarial Network Based Anomaly Detection for Software Defect Prediction
- The HPC-AI Low-Code Integration Stack: A Scalable Architecture for Real-Time, Governed Intelligence in Healthcare Systems
- Quantifying Virtualization Overhead for CPU-Intensive HPC Workloads in Hypervisors: A Comparative Study of KVM, Proxmox VE, Xen, and Hyper-V
Track 4 -: Signal and Image Processing- Session 1
Room: Embassy - Big Spring A
Chair: Daniel Sanchez Castan
- Classification of Streak Contamination in Hubble Space Telescope Images via ResNet-Inception Transfer Learning
- Design and Implementation of an Automated Optical Inspection System for Electronic Components in Custom PCB Manufacture
- ResSR: A Computationally Efficient Residual Approach to Super-Resolving Multispectral Images
- Comparing Classical and Machine Learning Approaches for Digital Predistortion of Multi-Channel Signals
- Aging in Place: Doorway Activity Detection and Contextual Alerting for Dementia Wandering Risk
Track 6 -: AI and Predictive Modeling-Session 2
Room: Embassy - Big Spring C
Chair: Samaresh Kumar Singh
- A Federated Metadata Architecture for Scalable Governance in Lakehouse-Based AI Platforms
- Automated Chili Leaf Disease Classification Using a ResNet50-Based Convolutional Neural Network for Sustainable Food Production
- Towards Resilient Cyber-Physical Systems via Data-Driven Operational State Transition Analysis
- Multi-Agent LLM Closed-Loop Optimization for NP-Hard Problems
- Semantic Search of AutoCAD Drawing Repositories via Cost-Effective Multi-AI Specification Extraction
Track 6 - S10: AI and Predictive Modeling-Session 10
Room: Embassy - Big Spring D
Chairs: Malar Mangai Kondappan, Joyjit Roy
- Disentangling Domain Shift and Client-Global Misalignment in Federated MRI Tumor Classification
- A Vision-Retrieval-Augmented Generation Framework for Interpretable Cervical Cytology Screening
- AI-Assisted Annotation for Multimodal Maritime Small-Object Detection: IMSEL Dataset and YOLO Baselines
- Semi-Supervised Based Regression Algorithm for Limited Dataset
- Curvature Characterization of Table Tennis Ball Trajectories Using YOLOv8 Video Analytics
- Intelligent Test Automation for Complex Eligibility Rules in Healthcare Enrollment Systems
Track 6 - S14: AI and Predictive Modeling - Session 14
Room: Embassy - Madison
Chairs: Michael Bumpus, Adriano Urgena
- CircuChain: Disentangling Competence and Compliance in LLM Circuit Analysis
- A Reinforcement Learning Framework for Infrastructure-Driven Verification of Traffic Sign Visibility in Autonomous Vehicle Environments
- Artificial Stupidity in Adversarial AI Models: Illusion, Delusion, and the Weaponization of Confusion
- SmartTrip: An AI-Powered Travel Planning Platform with Intelligent Agent Support, Voice and Multilingual Capabilities
- RevOpsBench: A Large-Scale Benchmark for Evaluating LLM Agents on Enterprise CRM Operations
Track 9 -: General - Session 2
Room: Embassy - Monte Sano
Chair: Lingxiao Wang
- Assessment of Driver Cognitive Load in Autonomous Driving Using Extended Reality Simulation
- AI-Enabled Project Management: Improving Risk, Resources, and Scheduling with Jira
- Can LLMs Find Bugs in Code? An Evaluation from Beginner Errors to Security Vulnerabilities in Python and C++
- Pre-Drying Effects on Silica-Gel Adsorption: Split-Replicate Gravimetry with Water and Heavy Water
- Beyond Centralized Control: Can Peer-to-Peer Systems Support Online Safety for Teens and Older Adults?
- A Unified Testing Framework for ADAS and Automated Vehicles: Synthesis of Methodologies and Regulatory Landscapes
Saturday, March 14 9:00 - 10:00
HKN: HKN Student Papers
Room: Embassy - Redstone
Chair: James M. Conrad
- A Wearable Multi-Modal Sensing Fusion Approach for Physical Fatigue Monitoring
- Design, Fabrication, and Performance of a Multi-Layer Thermal Plant with Digital Control for Precision Timing Research and Development
- Layer-Wise Feature Analysis for Self-Supervised SAR Target Recognition: Identifying Optimal Representations Across Data Regimes
Saturday, March 14 10:00 - 12:00
P1: Posters
Room: Embassy - Prefunction Area
Chair: Tamseel Syed
- Digital Mammography Pre-Processing Techniques Using Gaussian Denoising and CLAHE
- Emotion Classification from EEG Using CNN-LSTM Architectures with Continuous Intensity Modeling
- How Much Attention is Enough?
- Assessing the Practical Limits of Quantum Annealing with Min-Cut
- The Impact of Doping Variations on the Infrared Photoconductivity of Silicon
- Beyond Content Filtering: A "Circuit Breaker" Architecture for Autonomous Agent Action Safety
- Flexible Graphene Tactile Sensors with Spider Web Designs for Human-Computer Interaction
- Project Management and Assignment Software for Academic Design Projects in Universities
Saturday, March 14 10:30 - 12:00
Track 2 -: Communications and Electromagnetics-Session 1
Room: Embassy - Big Spring A
Chair: Bobby Johnson
- Performance Study of Adaptive Spatial Processing with High-Fidelity Antenna Models
- BER Performance Analysis of a Selective Relay Allocation Scheme for Dual-Hop Amplify-and-Forward Cooperative Networks Under Rayleigh Fading and Log-Normal Shadowing
- A Python-Based Workflow for Producing Soil Electromagnetic Properties
- Hybrid Quantum Repeater Protocol for Long Distance Secure Quantum Communication
Track 3: Computing Systems - Session 8
Room: Embassy - Madison
Chair: Samaresh Kumar Singh
Track 3 -: Computing Systems-Session 6
Room: Embassy - Big Spring B
Chair: Raziq Yaqub
Track 6 -: AI and Predictive Modeling-Session 3
Room: Embassy - Big Spring C
Chairs: Sandra Kopecky, Yi Wang
- GenAITD Score: A Quantitative Framework for Measuring Enterprise Technical Debt and Generative AI Readiness
- Artificial Intelligence for Mental Telehealth Applications: Data Modalities, Systems, and Evaluation Metrics
- Explainable AI Agents for Data Cleaning and Pipeline Debugging in Real Time
- Self-Adaptive AI-Based Orchestration for Multi-Cloud Interoperability and Performance Optimization
Track 6 - S11: AI and Predictive Modeling-Session 11
Room: Embassy - Big Spring D
Chair: Pallab Haldar
- AI-Integrated Insurance Framework: Scenario Based Analytical Approach in Hybrid Environment
- A Digital Twin Framework for Cyber-Physical System Detection in Water Treatment Infrastructure
- Reducing Regression Test Execution Time in Low-Code Platforms with AI-Driven Selection
- Enhancing Software Quality Engineering in Enterprise Systems Using Predictive and Generative AI
Track 6 - S13: AI and Predictive Modeling-Session 13
Room: Embassy - Monte Sano
Chairs: Joshua Olowolaju, Adriano Urgena
- Agentic AI for Closing Gaps in Care: A Conceptual Architecture for Automating Gap-in-Care Workflows
- AI-Enabled Modernization of Health Insurance Claims Processing: Process Reengineering, Data Architecture, and Denial Reduction
- Agentic Orchestration: Evolving Team Topologies and Resource Allocation in Human-AI Hybrid Team
- Addressing Social Adoption Risk to Change the Valley of Death to the Gully of Opportunity
Saturday, March 14 13:00 - 15:00
Track 3 -: Computing Systems- Session 7
Room: Embassy - Big Spring B
Chairs: Suresh Chaganti, Abinaya Mettupatti Sivagnanam
- System-Aware Evaluation of Differential Privacy Mechanisms for Resource-Constrained Edge AI
- Proactive Data Availability Visualization for IoT APIs: A Beehive Monitoring Case Study
- Serverless, Model-Agnostic Fog-Based Inference Framework for COTS Devices
- Energy Efficient Data Pipelines
- Device-Native Autonomous Agents for Privacy-Preserving Negotiations
- NANDWorks: A Low-Cost Testbed for ONFI-Compatible NAND Flash Experiments
Track 4 -: Signal and Image Processing-Session 2
Room: Embassy - Big Spring A
Chair: Arezoo Ghooreian
- GPU Acceleration of Image Stitching in Machine Vision Systems
- Luminance-Based White Balance Algorithms on Resource-Constrained Wearable Cameras and Color Shading Correction
- Signal Sensitivity-Aware Parameter Discretization for Efficient Sampling
- Interval Mover's Distance: Melodic Stylistic Comparison Using Interval Distributions
- Bathymetry of near Shore Waters Using Commercial X-Band Radar
- Layer-Wise Feature Analysis for Self-Supervised SAR Target Recognition: Identifying Optimal Representations Across Data Regimes
Track 6 -: AI and Predictive Modeling- Session 4
Room: Embassy - Big Spring C
Chairs: Delores Parker Baker, Srikanth Singireddy
- Building Trust in the Skies: A Knowledge-Grounded LLM-Based Framework for Aviation Safety
- A Mathematical Framework for Wise AI
- Secure by Design: Quantifying Architectural Resilience and the Agents Rule of Two
- Developing a Vietnamese Text Summarization Large Language Model on Limited Hardware
- MedAssist: Towards Explainable Multi-Task ICU Risk Prediction for Clinical Deployment
- Analyzing Wikipedia Edits: Patterns, Trends, and Insights from Collaborative Knowledge Construction
Track 6 - S15: AI and Predictive Modeling - Session 15
Room: Embassy - Monte Sano
Chair: Yi Wang
- Context-Aware Diagnostic Fusion: A Theoretical Framework for Multi-Modal Reasoning in Chest Radiography
- Smart Algorithms and Human Bias: A Case Study Analysis of Algorithmic Beauty and Art Judgement
- Efficient CPU Burst Forecasting with Low-Latency Machine Learning Models
- TSKG: A Truth-Seeking Knowledge Graph Framework for Personal Knowledge Management
- Hierarchical Flow Decomposition for Turning Movement Prediction at Signalized Intersections
Saturday, March 14 13:00 - 14:00
Track 6 - S16: AI and Predictive Modeling - Session 16
Room: Embassy - Madison
Chairs: Afnan, Amit Dubey
Saturday, March 14 13:00 - 15:00
Track 7 -: Automation, Dynamical Systems and Controls-Session 1
Room: Embassy - Big Spring D
Chairs: Romail Arif, Harikrishnan Muthukrishnan
- Redesigning Home Energy Management Systems with Energy Harvesting and Integrated Control in Distributed Energy Resources
- ROS 2 Hardware Interface for the PincOpen Gripper
- Intelligent Facades: An IIoT and Digital Twin Framework for Occupancy-Aware Kinetic Envelope Control
- Escaping Local Minima: A Finite-Time Markov Chain Analysis of Constant-Temperature Simulated Annealing
- Gas Monitoring via an Integrated Stationary Sensor and Mobile Robot System
Saturday, March 14 15:30 - 17:00
In Person: Combined Tracks 1
Room: Embassy - Madison
Chairs: John N. Spitzmiller, Raziq Yaqub
- A Stress-Testing Approach for Multimodal Fusion Under Missing Modalities in Cyber-Physical Systems
- Application of BIM Methodologies in the Retrofit of Operating 500 kV-2,400 MVA GIS Substations: Accuracy, Efficiency, and INTEGRATED Management
- A Methodology to Evaluate Patch-Based Backdoor Vulnerabilities in Vision Transformers
Track 2 -: Communications and Electromagnetics-Session 2
Room: Embassy - Big Spring A
Chairs: Muzeeb Mohammad, Danny Sit
- Defense Beneath the Waves: A Comparative Cyber Security Analysis of Underwater Systems
- Augmented Combined Field Integral Equation with Static Extraction
- Reinforcement Learning-Based Data Compression and Routing Design for Multi-Satellite Systems
- SemCom Malicious Routing Attacks and Defense Using Machine Learning and Blockchain Integrity Anchoring
Track 6 -: AI and Predictive Modeling- Session 5
Room: Embassy - Big Spring C
Chair: Harikrishnan Muthukrishnan
- Evaluation of Large Language Models for Implicit Hate Speech and Offensive Language Detection.
- Cough Detection for Smart-Home Health Monitoring: Room-Scale Edge Acoustic Sensing with Mel-Spectrogram Classification
- Factors Impacting Performance of Multiclass Image Classification: A Study Using Mars Images
- From Language to Action: Small Language Model-Driven Humanoid Control with Visual Grounding Under the Model Context Protocol
Track 6 - S12: AI and Predictive Modeling-Session 12
Room: Embassy - Big Spring D
Chairs: Sitaram Srivatsavai, Gayathri Surianarayanan
- Attribution-Driven Explainable Intrusion Detection with Encoder-Based Large Language Models
- Evaluating the Efficacy of Quantum Machine Learning at Detecting Advance-Fee Fraud Attacks
- PlotChain: Deterministic Checkpointed Evaluation of Multimodal LLMs on Engineering Plot Reading
- Graph Based Structural Anomaly Scoring and Hybrid Ranking for Audit Oriented Screening of Accounting Transactions
Sunday, March 15
Sunday, March 15 17:00 - 20:00
V12: Makeup Session 12
Last Chance
Room: Virtual MAKEUP SUNDAY- A Lightweight and Interpretable LiDAR Obstacle Detection Pipeline Using Density-Based Clustering and Confidence-Aware Classification
- Multiphysics Simulation of Tumor Microenvironment Interactions in Glioblastoma
- Scalable Payment Systems and Financial Inclusion: Expanding Access to the Digital Economy
- Unsupervised Telemetry Anomaly Detection for CubeSats Across OPSS-SAT and SatNOGS Data
- An AI-Driven Zero Trust Framework for Resilient Digital Twins in Smart Industry