Angelina Anani

Associate Professor of Mining and Geological Engineering
Member of the Graduate Faculty

Dr. Angelina Anani is currently an associate professor at the University of Arizona. She holds a BS (Summa cum laude) and PhD from the Missouri University of Science and Technology. She has over 11 years of research and teaching experience. Dr. Anani has extensive experience in the modeling and optimization of mining systems. Her current research interests include modeling and optimization of mining systems, mine planning and production scheduling, design and management of sustainable mining systems, mine equipment reliability studies, tunneling and underground works, energy and water efficiency, ethnographic research in mining, application of machine learning in the mining, 3D mining planning, mining supply chain, etc.

She has a diverse teaching background in three universities in two countries. In her current role, she teaches graduate and undergraduate mining engineering courses. Dr. Anani is an active member of the Society of Mining, Metallurgy and Exploration (SME), the Society of Mining Professors, and the Women In Mining (WIM).

Degrees

  • PhD Mining Engineering
    • Missouri University of Science and Technology, Rolla, Missouri, United States
    • Applications of simulation and optimization techniques in optimizing room and pillar mining systems
  • BS Mining Engineering
    • Missouri University of Science and Technology, Rolla, Missouri, United States Minor Outlying Islands

Work Experience

  • University of Arizona, Tucson, Arizona (2022 - Ongoing)
  • Pontificia Universidad Católica de Chile (2017 - 2021)
  • Missouri University of Science and Technology (2016 - 2017)
  • Missouri University of Science and Technology (2016 - 2017)
  • Missouri University of Science and Technology (2012 - 2015)
  • Victor Diamond Mine (2010 - 2010)
  • Morupule Colliery Ltd (2008 - 2008)

Interests

Teaching

- MNE 442/542 - Application of discrete event simulation mining- Surface Mine Planning Design- Underground Mine Design

Research

Mine planning optimization for transition mines; Production schedule optimization; Automation & Equipment reliability studies; ML/AL applications in mine planning and safety; Application of operations research in mining; Supply chain management in the mining industry; 2D - 4D/ VR in mine planning

Courses

Surface Mine Planning & Design

MNE 436 (Spring 2024)
MNE 436 (Spring 2023)
MNE 536 (Spring 2024)
MNE 536 (Spring 2023)

Application of DES in Mining

MNE 542 (Fall 2024)
MNE 542 (Fall 2023)
MNE 542 (Fall 2022)

Independent Study

MNE 599 (Fall 2024)

Research

MNE 900 (Spring 2024)
MNE 900 (Fall 2023)

Thesis

MNE 910 (Summer I 2024)
MNE 910 (Spring 2024)
MNE 910 (Fall 2022)

Dissertation

MNE 920 (Fall 2024)
MNE 920 (Spring 2024)
MNE 920 (Fall 2023)

Licensure & Certification

  • Engineering Project Management, Rice University (2019)
  • Machine learning, Stanford University (2019)
  • Diploma in Teaching, Pontificia Universidad Católica de Chile (2018)

Selected Publications

Journals/Publications

  • Anani, A., Adewuyi, S. O., Risso, N., & Nyaaba, W. (2024). Advancements in machine learning techniques for coal and gas outburst prediction in underground mines. International Journal of Coal Geology, 104471.
  • Velasquez, N., Anani, A., Munoz-Gama, J., & Pascual, R. (2023). Towards the Application of Process Mining in the Mining Industry—An LHD Maintenance Process Optimization Case Study. Sustainability, 15(10), 7974.
  • ANANI, A., Nyaaba, W., Risso, N., & Tenorio, V. (2022).Application of Machine Learning in Mine Safety: A State-of-The-Art Review.Social Science Research Network. doi:10.2139/ssrn.4314075
  •  Anani, A., Nyaaba, W., & Cordova, E. (2022). An integrated approach to panel width, fleet size, and change-out time optimization in room-and-pillar mines. Journal of the Southern African Institute of Mining and Metallurgy, 122(4), 181--190.
  • Ayawah, P. E., Sebbeh-Newton, S., Azure, J. W., Kaba, A. G., Anani, A., Bansah, S., & Zabidi, H. (2022). A review and case study of Artificial intelligence and Machine learning methods used for ground condition prediction ahead of tunnel boring Machines. Tunnelling and Underground Space Technology, 125, 104497.
  • Soto, I., Anani, A., & Cordova, E. (2022). A discrete event simulation approach for mine development planning at Codelco's New Mine Level. Journal of the Southern African Institute of Mining and Metallurgy, 122(10), 549--560.
  • Anani, A. (2021). Blasting and preconditioning modelling in underground cave mines under high stress conditions. Journal of the Southern African Institute of Mining and Metallurgy.
  • Anani, A. (2020). Optimization of level intervals in steeply-dipping vein deposits: A two-step approach. Resources Policy.
  • Anani, A. (2019). Fatigue damage investigation of ultra-large tire components.
  • Anani, A. (2019). Optimizing cut-out distance for maximum coal productivity.
  • Anani, A. (2018). An asset management oriented methodology for mine haul-fleet usage scheduling.. Reliability Engineering & System Safety.
  • Anani, A. (2017). Application of discrete event simulation in optimizing coal room and pillar panel width: A case study.
  • Anani, A. (2017). Optimization of Shuttle Car-Continuous Miner Matching Using Discrete Event Simulation: A Case Study.
  • Anani, A. (2016). Effect of Input Correlation on Discrete Event Simulation of Truck-Loader Production Operations.
  • Que, S., Anani, A., & Awuah-Offei, K. (2016). Effect of Ignoring Input Correlation on Truck-Shovel Simulation. International Journal of Mining, Reclamation and Environment, 30(5), 405-421. doi:10.1080/17480930.2015.1099188

Proceedings Publications

  • Akbulut, N. B., Anani, A., Brown, L. D., & Wellman, E. C. (2023). Innovative Approach for Monitoring Underground Excavations at San Xavier Underground Mine Laboratory. In 57th US Rock Mechanics / Geomechanics Symposium.
  • Tenorio Gutierrez, V. O., Anani, A., Riley, D., Risso, M. ., Heath, G., Akbulut, N. B., & Werner, J. D. (2024, Spring). Preprint 24-069 Outlining a Roadmap for the Deployment of a DIgital Twin System for the San Xavier Mine Laboratory. In 2024 SME MineXchange. SME Annual Meeting, Feb. 25 – Feb 28, 2024, Phoenix, AZ, 4.
  • Flores, I., Anani, A., & Li, H. (2022, September). Optimizing the Production Schedule for Transition Mines . In Mines 32nd SOMP annual meeting and conference.
  • Anani, A. (2018). CM cut-sequence optimization in room and pillar coal mines, Desafíos en Planificación Minera workshop.
  • Anani, A. (2018). Optimization of coal production rate as a function of cut-out distance.
  • Anani, A. (2017). Optimizing Room & Pillar Recovery and Production Rates as a Function of Panel Dimensions.
  • Anani, A. (2016). Effect of Changing Duty Cycles with A Panel in CM-Shuttle Car Matching: A Case Study.
  • Anani, A. (2016). Mine production optimization using cutting plane method.
  • Anani, A. (2015). Modeling Mining Risk in Room and Pillar Mine Sequencing Using Mixed Integer Linear Programming.
  • Anani, A. (2014). Cost Saving Approach using Solution Algorithms.
  • Anani, A. (2013). Incorporating Cycle Time Dependency in Truck- Shovel Modeling.
  • Anani, A. (2013). Modeling Room and Pillar Operation with Pillar Retrieval as Mixed Integer Linear Programming.

Others

  • Anani, A. (2019). Optimization of coal recovery and production rate as a function of panel dimensions.

Awards

  • 2022 Freeport-McMoRan, Inc. Career Development Grant
    • Society for Mining, Metallurgy and Exploration, Fall 2022