Alessandro Navarra

Title: 
Associate Professor
Alessandro Navarra
Contact Information
Address: 

Frank Dawson Adams Building, Room 113

Email address: 
alessandro.navarra [at] mcgill.ca
Degree(s): 

Ph.D École Polytechnique Montreal
B.Eng & M.Sc. McGill University

Current research: 

Established researcher with scientific and technical contributions to mine planning, mineral processing, geometallurgy and extractive metallurgy, focusing on computational optimization and operations research. Ten years of experience as a professor of industrial engineering and mining engineering. Current interests include system integration and artificial intelligence.

Equity Diversity and Inclusion Policy

Professor Navarra strongly encourages women, persons with disabilities, Indigenous peoples and members of visible minorities to apply for Master’s and Doctoral level research under his supervision.

Courses: 

Undergraduate courses

MIME 322. Fragmentation and Comminution.

Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.

Credits: 3
Offered by: Mining & Materials Engineering (Faculty of Engineering)
This course is not offered this catalogue year.

Description

Principles of drilling, penetration rates, and factors affecting the choice of drilling method. Characteristics of explosives, firing systems and blast patterns. Blasting techniques in surface and underground workings. Special blasting techniques at excavation perimeters. Vibration and noise control. Mechanical and continuous approaches to fragmentation, including longwall shearing and fullface boring. Economics of drill/blast practice, interface with transport and crushing systems, drivers for mine-to-mill integration including energy considerations. Modelling of fragment and particle size distributions; comminution as a transfer function. Comminution technology: crushing, grinding, size classification. Integrated analysis of fragmentation and comminution operations.
  • Prerequisites : MIME 209 or MECH 262 or CIVE 302 or CHEE 231 or ECSE 205
  • Corequisites: MIME 341
  • (3-3-3).

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MIME 428. Environmental Mining Engineering.

Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.

Credits: 3
Offered by: Mining & Materials Engineering (Faculty of Engineering)
Terms Offered: Summer 2025
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Description

Effect of mining on the environment: ecology, legislation, effluents and wastes, environmental impact. Acid mine drainage: prediction, treatment, prevention, control. Mineral processing agents. Solid wastes. Mine site closure, reclamation and monitoring. Economic aspects. Environmental practices.
  • (3-1-5)
  • Prerequisite(s): MIME 323 and CIVE 205
  • **Due to the intensive nature of this course, the standard add/drop and withdrawal deadlines do not apply. Add/drop is the third lecture day and withdrawal is the sixth lecture day.

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Graduate courses

MIME 514. Sustainability Analysis of Mining Systems.

Note: For information about Fall 2025 and Winter 2026 course offerings, please check back on May 8, 2025. Until then, the "Terms offered" field will appear blank for most courses while the class schedule is being finalized.

Credits: 3
Offered by: Mining & Materials Engineering (Faculty of Engineering)
This course is not offered this catalogue year.

Description

Concepts of sustainability analysis applied to mining projects. Case studies topics selected from: Stakeholder Engagement and Participation; Biodiversity and Conservation Management; Mine Water Management; Tailings and Waste Rock Management. Relationship between risk management and life-cycle assessment. Mass balancing and logistical modeling applied within the mining value chain, with an emphasis on sustainability. Quantification of systemic balances between environmental, economic and social indicators, using geostatistical simulations, discrete event simulation, and multi-objective optimization techniques.
  • (3-2-4)
  • Prerequisite: FACC 300 and MIME 341, or permission of the instructor.

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