Yesung Hwang

Yesung Hwang

Master’s Student in AI/ES

Eindhoven University of Technology

Professional Summary

I am a Master’s Student in Artificial Intelligence & Engineering Systems at Eindhoven University of Technology (TU/e), doing my master’s thesis under the supervision of Prof. Devendra Dhami. I completed my Bachelor of Science in Electrical & Electronic Engineering and minor in Physics at Yonsei University. Previously, I interned at KAIST Visual AI Group and Kakao Mobility.

My research focuses on building AI systems that generalize beyond their training data by learning structured and abstract representations. Unlike models that rely on surface-level correlations, I’m interested in approaches that capture underlying data-generating processes, such as causal relationships, compositional abstractions, and symbolic components to support robust, transferable, and explainable reasoning. Ultimately, my goal is to contribute toward AI systems capable of human-like reasoning: adaptable to new contexts, and capable of abstract inference.

Education

MSc in Artificial Intelligence and Engineering Systems

Eindhoven University of Technology

BSc in Electrical and Electronic Engineering, minor in Physics

Yonsei University

Interests

Out-of-Distribution Generalization Causal Representation Learning Self-Supervised Learning
📚 My Fundamental Questions

On top of my research interests, I am eager to see how the following questions will be answered.


🧠 Consciousness

Core Question: Why are we conscious?

  • There’s no clear need for consciousness for the brain to function physically. So why does subjective experience arise at all?
  • How can we measure consciousness, if at all?
  • How do we know other people are conscious and not just behaving as if they are? (The problem of other minds)
  • Is our sense of continuous consciousness real, or just a cognitive illusion based on memory and narrative?

⚛️ Physics

Core Question: What is the fundamental theory of everything?

  • Will the ultimate theory be a single unifying framework, or a collection of effective theories that work in different domains?
  • Does causality emerge from deeper laws, or is it a built-in feature of the universe?
  • Is time an illusion, just another dimension rather than a flowing entity?

🤖 Intelligence

Core Question: What is intelligence?

  • What principles or architectures are required to build intelligence?
  • How can we define intelligence rigorously?
  • Can we create superhuman intelligence? If so, what would that mean for the uniqueness of human minds, and the possibility of other intelligent beings in the universe?