Hassan Khaniani

Hassan Khaniani, Ph.D.

Assistant Professor,

Mineral Engineering

 


Appointments

Assistant Professor, New Mexico Institute of Mining and Technology, Socorro, NM,
2024–Present
Research Scientist, New Mexico Institute of Mining and Technology, Socorro, NM, 2020–2024
Postdoctoral Researcher, University of Calgary / Absolute Imaging, Calgary, Canada,
2016–2020
Research Geophysicist, Suncor Energy and Nexen Energy, Calgary, Canada, 2012–2015

Education

Ph.D., Exploration Geophysics, University of Calgary, Calgary, Canada, 2015
M.Sc., Exploration Engineering, University of Calgary, Calgary, Canada, 2015
B.Sc., Exploration Engineering, Petroleum University of Technology, Iran

Research Interests

  • Geophysical Imaging and Subsurface Characterization
  • Underground Mine Safety and Emergency Response
  • Distributed Acoustic Sensing and Seismic Monitoring
  • Ultrasonic Sensing and Tomographic Imaging
  • Artificial Intelligence and Machine Learning in Geoscience and Mining
  • Robotics and Autonomous Underground Monitoring
  • >Digital Twins and Intelligent Sensing Systems
  • Geomechanics, Fault Stability, and Induced Seismicity
  • Reservoir and Critical-Mineral Characterization

Teaching Areas

  • Machine Learning Applications in Geoscience and Engineering
  • Applied Geophysics
  • Rock Mechanics
  • Geostatistics and Resource Evaluation
  • Occupational Health and Safety
  • Professional Responsibility and Engineering Ethics

Smart Sensing and Autonomous Monitoring Laboratory (CAML)

The Smart Sensing and Autonomous Monitoring Laboratory develops sensing, imaging, artificial intelligence, and autonomous monitoring technologies for mining, energy, and subsurface engineering applications. Research activities include:

  • AI-enabled underground mine monitoring and digital twins
  • Distributed acoustic sensing and microseismic monitoring
  • Ultrasonic imaging and tomography of rock and concrete
  • >Autonomous robotic sensing and underground mapping
  • Human behavior modeling and emergency evacuation
  • Geomechanics and fault-slip potential analysis
  • Multimodal sensing for mining, energy, and critical infrastructure