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Resource Management Lab
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The lab combines mining engineering and AI to pursue safe and efficient mine development.
AboutAbout the lab
Smart Mining, where mining engineering meets information engineering.
The Resource Management Lab studies "Smart Mining," which combines mining engineering, the discipline of extracting mineral resources, with information engineering such as AI.
Most mines that are easy to work have already been mined out. What remains are dangerous locations deep underground and low-grade deposits that contain only small amounts of metal.
To make safe and profitable development possible even in such places, the lab develops technologies such as automation of mining operations, digital twins, and VR and AR.
From a geology perspective, Associate Professor Ohtomo studies natural hydrogen, which forms naturally underground, and is also involved in developing technologies that use rocks to reduce carbon dioxide.
Key terms
- Smart Mining
- An approach that brings information technologies such as artificial intelligence into traditional mining techniques to make mining operations more efficient and safer
- Digital twin
- A faithful reproduction of a real mine or its equipment inside a computer, built from data
- Hyperspectral image
- An image that records the intensity of light at many finely divided wavelengths, not just the red, green, and blue that the human eye can see
NewsLab news
Assistant Professor Okada received the Krupiński Award at the World Mining Congress
A master's student received the Sustainable Resource Engineering Award
A master's student received the Young Researcher Poster Presentation Award from the Mining and Materials Processing Institute of Japan
A master's student received the Young Researcher Poster Presentation Award from the Mining and Materials Processing Institute of Japan
Professor Kawamura received the Hokkaido University President's Award for Education and Research for fiscal 2023 (Reiwa 5)
ResearchResearch themes
Under the theme of "Smart Mining," which brings information engineering such as artificial intelligence into mining engineering, the lab studies technologies that make mining operations more efficient and safer. It aims to visualize mining operations through sensing and digital twins and to make these technologies usable in society.
*Illustrative imageHyperspectral imaging and AI
The lab develops analysis technologies for mining and geology by combining AI with hyperspectral imaging, which records light across many finely divided wavelengths. It has also released "APiS," an app for analyzing spectral data.
*Illustrative imageGeographic information systems and AI
The lab combines AI with geographic information systems (GIS), which layer locations and information on a map, to build frameworks for mining.
*Illustrative imageAnomaly detection for mining machinery
The lab develops technology to detect anomalies in machinery, which is essential for maintaining mining equipment.
*Illustrative imageNext-generation mine development with XR
Using XR, which encompasses AR (augmented reality), VR (virtual reality), and MR (mixed reality), the lab aims to make "Mine4.0," the next generation of mine development, possible.
MembersFaculty
The members of the Resource Management Lab consist of faculty and doctoral, master's, and undergraduate students.As of 2025
- ProfessorYohei Kawamura
- Associate ProfessorYoko Ohtomo
- Assistant ProfessorNatsuo Okada
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Open Pit Mine, Near Iron Mountain Area, Utah (73262911)” Ken Lund from Reno, Nevada, USA / CC BY-SA 2.0 (cropped)
- Hyperspectral imaging and AI: “HyperspectralCube” Dr. Nicholas M. Short, Sr. / Public domain (cropped)
- Geographic information systems and AI: “Peering into the Pits of Telfer Mine (153079)” NASA Earth Observatory image by Michala Garrison, using Landsat data from the U.S. Geological Survey. Story by Emily Cassidy. / Public domain (cropped)
- Anomaly detection for mining machinery: “Lectra Haul giant mining truck-Hoses” Cjp24 / CC BY-SA 4.0 (cropped)
- Next-generation mine development with XR: “CAVE Crayoland” User:Davepape / Public domain (cropped)
- Related lab (International Resource and Environment Systems Lab): “Kushiro Coal Mine 2011” Ozizo / CC0 (cropped)
- Related lab (Transportation Network Analysis Lab): “Aerial view of M6A38 Spaghetti Junction” Highways Agency / CC BY 2.0 (cropped)
- Related lab (Rock Mechanics Lab): “Beachrock aerial view” Alessio Rovere / CC BY-SA 4.0 (cropped)
- Related lab (Infrastructure Maintenance Systems Engineering Lab): “Taushubetsu-River-Bridge” MaedaAkihiko / CC BY-SA 4.0 (cropped)
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