Starting Grad School — Research Life Begins

In April 2025, I officially enrolled at Keio University's Graduate School of Science and Technology as a first-year master's student in Computer Science.

From now on, it's not just self-study and personal projects anymore — real research life has begun.

Research Direction

My research sits at the intersection of software engineering and software testing. Specifically, my current focus is:

Using diffusion models and GANs (Generative Adversarial Networks) to improve the efficiency of fuzzing tools.

Fuzzing is a testing technique that feeds random or semi-random inputs to a program to find vulnerabilities. Traditional fuzzers tend to be inefficient at generating test inputs, and my research explores whether AI-generated models can produce more targeted test cases — finding bugs faster.

This area bridges machine learning and software engineering, which is both challenging and a great learning opportunity.

Lab Life

Japanese research labs are quite different from what I was used to. Everyone has their own topic, but the atmosphere for discussion is really good. Every week there are seminars where we present progress and exchange feedback. The advisor gives a lot of freedom, which I appreciate — though it also means you need to be self-driven.

I'm still getting used to the pace. Reading papers, running experiments, writing reports — it all takes more time than I expected. But I'm enjoying the process.

Let's Connect

If you're working on something related — fuzzing, AI for SE, generative models — I'd love to hear about it. Feel free to reach out via email or find me on GitHub. Always happy to exchange ideas.