Industrial Artificial Intelligence
ML engineered for real-world industries (manufacturing, environment, food, health, and more) for prediction, monitoring, and decision support on operational data.
Muhammad Syafrudin · Seoul
AI, IoT, and big data, built to hold up in the messy real world. Research, teaching, and collaboration from Seoul.

Don’t compare yourself to anyone else because we all have our own unique journey and story that we should be proud of.
I'm a full-time faculty member in the Department of Artificial Intelligence and Data Science at Sejong University in Seoul, where I've worked since 2022. Before that, I spent three years as a full-time faculty member and five years as a graduate researcher at Dongguk University.
My research is in industrial AI, IoT, and big data. I like building systems that hold up on messy, real-world data. I also teach programming, machine learning, and database courses, and enjoy helping students find their own path into the field. If you'd like to talk research or collaboration, feel free to reach out.
Applying AI and data science across industries (not just manufacturing, but environment, food, health, and beyond), wherever messy real-world data needs to become reliable decisions.
ML engineered for real-world industries (manufacturing, environment, food, health, and more) for prediction, monitoring, and decision support on operational data.
Turning heterogeneous, high-velocity data into trustworthy insight through representation learning and knowledge extraction.
Predictive and prescriptive analytics across sectors: forecasting, anomaly detection, and optimization that turn data into measurable value.
The systems layer of smart, connected industries: IIoT, digital twins, and edge-cloud pipelines linking sensors to intelligence.
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