Intelligent Battery Monitoring
AI-driven battery health and performance monitoring system for smart energy applications.
Research Projects
Our lab conducts cutting-edge research projects that push the boundaries of knowledge and create real-world impact. Each project combines rigorous scientific methods with innovative computational approaches.
Multi-Energy Hub
Building multi-energy hubs that integrate renewables, grids and transport networks to enable green mobility and low-carbon power systems.
Optical Fibre Sensing System
An AI-orchestrated data analytics platform for optical fibre sensing and environmental monitoring.
Smart Energy Systems
Creating intelligent energy systems that drive net-zero transition via multi-energy hubs, modular design, and AI monitoring.
NeuroLink AI: Next-Generation Brain-Computer Interfaces
Developing AI-powered brain-computer interfaces that can decode complex neural signals to restore mobility and communication for patients with neurological disorders.
Dr. sarah kim
QuantumML: Machine Learning for Quantum Materials Discovery
Accelerating the discovery of quantum materials for next-generation electronics and energy technologies through machine learning-guided computational design.
Maria rodriguez
MoleculeAI: Machine Learning Platform for Drug Discovery
An integrated AI platform for accelerating small molecule drug discovery through advanced machine learning models, molecular simulation, and experimental validation.
DeepFold: AI-Powered Protein Structure Prediction
Developing next-generation deep learning models to predict protein structures with unprecedented accuracy, accelerating drug discovery and understanding biological mechanisms.
CancerSeq AI: Precision Oncology Through Genomic Analysis
Leveraging AI and single-cell genomics to identify personalized treatment strategies for cancer patients, focusing on tumor heterogeneity and drug resistance mechanisms.
ClimateAI: Machine Learning for Climate Prediction & Mitigation
Advancing climate science through machine learning to improve prediction accuracy, understand extreme weather patterns, and accelerate carbon capture technology development.
Dr. elena vasquez