Questions worth exploring.

My research often begins with curiosity about how people and technology interact. I am interested in intelligent systems that can perceive, respond, teach, assist, and sometimes make entirely new kinds of interaction possible.

What interests me

At the intersection of people, intelligence, and interaction.

I enjoy working across disciplines and experimenting with ideas that connect computing to practical problems. Some questions require algorithms; others require new ways to visualize, interact with, or understand information. The most interesting projects often require a little of both.

01
PEOPLE & COMPUTERS

Human–Computer Interaction & Affective Computing

How might computers better interpret human expressions, behavior, and context? My earlier research explored emotion recognition by combining speech with visible and infrared facial imagery, including the development of the VIRI database. These questions remain important as intelligent interfaces become part of everyday life.

Multimodal interactionEmotion recognitionSensor fusion
02
LEARNING THROUGH EXPERIENCE

Augmented & Virtual Reality

Some ideas become easier to understand when we can experience them rather than simply read about them. I explore immersive interfaces for education and visualization—from helping students see mathematical concepts in three dimensions to experimenting with augmented-reality tools for computational materials science.

Immersive learningSpatial visualizationMixed reality
03
INTELLIGENCE IN PRACTICE

Human-Centered AI & Language Models

I am interested in what makes AI genuinely useful to people—not only whether a model produces an answer, but whether that answer can be understood and used responsibly. Recent work includes exploring large language models and retrieval-based systems to support healthcare professionals and other decision-making contexts.

Large language modelsDecision supportExplainable AI
04
BUILDING & EXPERIMENTING

Computer Vision, Robotics & Intelligent Sensing

I also like research that involves building and testing physical systems. This has led to collaborations involving robotic interfaces, environmental sensing, agricultural applications, image analysis, and renewable-energy systems. Each brings its own practical challenges—and new things to learn.

Computer visionRoboticsIoT & sensing
From questions to prototypes

I like ideas I can explore hands-on.

Research, for me, is also an opportunity to build, experiment, learn from unexpected results, and collaborate with people who bring different perspectives. You can explore some of that work on the Projects page, or find the published papers behind it.