Michael Kokkolaras

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Kokkolaras

Associate Professor



Ph.D. (Mechanical Engineering)     Rice University 

Diplom (Aerospace Engineering)   Technische Universität München 


Macdonald Engineering Building, Rm 156 Map

External Website

514-398-2343[office]

michael.kokkolaras [at] mcgill.ca (Email)


Research Interests

Primary Research Theme: Design and Manufacturing
Research Group/Lab: Systems Optimization Lab (SOL)

Multidisciplinary design optimization of complex engineering systems; simulation-based engineering design; uncertainty quantification; optimization theory and algorithms; decomposition and coordination methods; design validation; platform-based product families, systems of systems and product-service systems; transportation (automotive and aerospace) and energy systems

The complexity and increasing interconnectivity of modern engineering systems necessitate an analytical, decomposition-based approach to optimal design: Subsystem interactions must be taken into account to ensure system integration and optimality; component design specifications need to be determined, as design targets are given only for the systems; uncertainties need to be quantified and propagated. This requires coordination and optimization of multiple disciplines, appropriate uncertainty modeling and validation of obtained design solutions.

Our research focuses on developing methodologies to address these issues. We use mathematical programming to model, coordinate and solve the decomposed problems so that large and complex problems can be solved efficiently. We adopt different quantification and propagation approaches depending on the amount of available information to account for uncertainties, and use statistics-based methods to quantify design confidence. While these methodologies are being developed to be applicable to any engineering system, emphasis is given on transportation (automotive and aerospace) and energy applications.

Current Research Projects

See SOL-Research

Most Significant Publications

See SOL-Publications

Courses

    • MECH 210: Mechanics 1 (Statics)
    • MECH 292: Conceptual Design
    • MECH 463: Mechanical Engineering Capstone Design Project
    • MECH 501: Analysis, Synthesis and Optimization of Engineering Systems
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