Research

I build intelligence for systems that cannot afford to be misunderstood.

My research connects models, sensing, simulation, and human judgment so batteries, bridges, vehicles, and communities can make safer and more resilient decisions.

01

Digital twins for complex systems

Physical models, sensing, machine learning, and visualization for batteries, bridges, parking, and community infrastructure.

Energy systems · infrastructure · mobility
02

Trustworthy AI for autonomy

Explainable, uncertainty-aware, and deployment-conscious methods for safety-critical cyber-physical systems.

XAI · uncertainty · security
03

Robust visual perception

Efficient computer vision for degraded real-world scenes and autonomous systems operating in adverse weather.

Image restoration · scene understanding · edge AI
04

AI-enabled decision systems

Interdisciplinary systems that connect data, simulation, and domain expertise in agriculture, transportation, and energy.

Forecasting · multimodal learning · decision support

Research systems

Where my research questions become working systems.

OmniRestore qualitative comparison showing degraded inputs, restored outputs, competing methods, and ground truth

Robust visual perception

OmniRestore

Can one compact model restore vision across rain, fog, snow, low light, and compound weather?

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BatteryMetrix dashboard with battery states and explainable AI

Predictive energy systems

BatteryMetrix

What would a battery digital twin look like if prediction, explanation, security, and human use were designed together?

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PANDA parking digital twin showing facility occupancy

Predictive smart parking

PANDA

Can a parking digital twin move from showing what is occupied now to helping operators anticipate what happens next?

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BridgeSync WebGL bridge digital twin with structural sensors

Resilient infrastructure

BridgeSync

How can engineers inspect bridge conditions in real time when connectivity, security, and spatial context all matter?

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Smart parking object-detection system from dataset preparation to traffic-scene deployment

Transportation perception

SmartParking

Which object detector best supports the mixed visual demands of a smart parking environment?

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Electric vehicle digital twin communication testbed

Connected battery systems

EV Twin Protocol Benchmark

Which communication protocol gives an electric-vehicle digital twin the right balance of speed, reliability, and resource use?

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Service drive workflow in an automotive dealership

AI-enabled decision systems

Explainable Service Advisor Analytics

Can performance analytics show automotive dealerships not only who needs support, but why?

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Explainable battery digital twin framework for state prediction

Trustworthy energy intelligence

Explainable Battery Digital Twins

A battery prediction should arrive with evidence, especially when it informs safety, maintenance, and remaining life.

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Complete secure autonomous vehicle speaker identification and blockchain event-recording workflow

Secure autonomous systems

Secure Voice and Event Intelligence for AVs

How can an autonomous vehicle verify who is speaking and preserve trustworthy evidence when an incident occurs?

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BAT-GPT model-in-the-loop battery digital twin and language assistant architecture

Human-centered battery twins

BAT-GPT

Can a battery digital twin explain its condition in language a user can act on?

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Six-layer metaverse-enhanced battery digital twin architecture

Immersive energy systems

Metaverse-Enhanced Battery Management

What changes when battery monitoring becomes a synchronized environment that engineers can enter, inspect, and understand spatially?

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MetaHate system model from metaverse interaction through hate-speech detection and deployment

Safer virtual environments

MetaHate

How can a metaverse platform detect harmful language in real time without carrying a model too heavy to deploy?

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