Research
Research Projects
Explore cutting-edge research projects, scientific publications, ongoing discoveries, and indexed publications in Artificial Intelligence and Internet of Things
Multi-Agent Reinforcement Learning for Robust Job-Shop Rescheduling under Disruptions
Reschedule production in real time under machine breakdowns and urgent orders while jointly optimizing operational performance and schedule stability.
Hybrid Physics-Data Models for Energy Efficiency Optimization in Heavy Process Industries
Reduce the specific energy consumption of energy-intensive industrial processes by combining physical conservation laws with data-driven learning and...
Multimodal Perception and Language Grounding for Safe Human-Robot Collaboration
Enable natural-language instruction of a collaborative robot while ensuring that an independent and verifiable safety layer remains authoritative. Thi...
Graph Neural Networks for Multi-Tier Supply Chain Disruption Risk with Incomplete Supplier Knowledge
Predict multi-tier supply-chain disruption risk beyond direct suppliers by inferring missing network links and explicitly quantifying uncertainty in t...
Verifiable LLM Agents for Trade Document Processing and Customs Compliance
Automate extraction and consistency checking across export documents while requiring symbolic verification and source traceability for every value pro...
Deep Reinforcement Learning for Last-Mile Routing in Dense Historic Urban Fabrics
Optimize last-mile delivery routes in dense pedestrian networks where conventional vehicles cannot operate by combining reinforcement learning with tw...
Spatio-Temporal Graph Learning for Port Congestion and Container Dwell-Time Prediction
Predict container dwell time and terminal congestion by representing port operations as a dynamic graph of interacting resources and processes.
Physics-Informed Digital Twin and Safe Reinforcement Learning for Rural Microgrid Energy Management
Control a rural photovoltaic microgrid with battery storage using a constraint-aware reinforcement-learning policy trained on a physics-informed digit...
Water-Aware Soiling Estimation and Cleaning Scheduling for Utility-Scale PV in Arid Climates
Estimate photovoltaic soiling losses from images and inverter data, then optimize cleaning schedules while explicitly accounting for water scarcity.