Michael Kokkolaras

Michael Kokkolaras

McGill University

H-index: 35

North America-Canada

About Michael Kokkolaras

Michael Kokkolaras, With an exceptional h-index of 35 and a recent h-index of 21 (since 2020), a distinguished researcher at McGill University, specializes in the field of Multidisciplinary Design Optimization, Simulation-based Engineering Design, Surrogate-assisted Derivative-free Optimization.

His recent articles reflect a diverse array of research interests and contributions to the field:

Design space exploration and evaluation using margin-based trade-offs

Bayesian optimization with hidden constraints for aircraft design

Risk averse constrained blackbox optimization under mixed aleatory/epistemic uncertainties

A similarity-assisted multi-fidelity approach to conceptual design space exploration

Sequential stochastic blackbox optimization with zeroth order gradient estimators

Constrained stochastic blackbox optimization using a progressive barrier and probabilistic estimates

Efficient Acquisition Functions for Bayesian Optimization in the Presence of Hidden Constraints

Weekly nowcasting of new COVID-19 cases using past viral load measurements

Michael Kokkolaras Information

University

Position

Professor of Mechanical Engineering

Citations(all)

3931

Citations(since 2020)

1273

Cited By

3084

hIndex(all)

35

hIndex(since 2020)

21

i10Index(all)

76

i10Index(since 2020)

44

Email

University Profile Page

Google Scholar

Michael Kokkolaras Skills & Research Interests

Multidisciplinary Design Optimization

Simulation-based Engineering Design

Surrogate-assisted Derivative-free Optimization

Top articles of Michael Kokkolaras

Title

Journal

Author(s)

Publication Date

Design space exploration and evaluation using margin-based trade-offs

Journal of Mechanical Design

Khalil Al Handawi

Arindam Brahma

David C Wynn

Michael Kokkolaras

Ola Isaksson

2024/6/1

Bayesian optimization with hidden constraints for aircraft design

Les Cahiers du GERAD ISSN

A Tfaily

Y Diouane

N Bartoli

M Kokkolaras

2024/1

Risk averse constrained blackbox optimization under mixed aleatory/epistemic uncertainties

arXiv preprint arXiv:2310.11380

Charles Audet

Jean Bigeon

Romain Couderc

Michael Kokkolaras

2023/10/17

A similarity-assisted multi-fidelity approach to conceptual design space exploration

Computers in Industry

Julian Martinsson Bonde

Michael Kokkolaras

Petter Andersson

Massimo Panarotto

Ola Isaksson

2023/10/1

Sequential stochastic blackbox optimization with zeroth order gradient estimators

Jean Bigeon

Charles Audet

Michael Kokkolaras

Romain Couderc

2023/8/16

Constrained stochastic blackbox optimization using a progressive barrier and probabilistic estimates

Mathematical Programming

Kwassi Joseph Dzahini

Michael Kokkolaras

Sébastien Le Digabel

2023/3

Efficient Acquisition Functions for Bayesian Optimization in the Presence of Hidden Constraints

Ali Tfaily

Michael Kokkolaras

Nathalie Bartoli

Youssef Diouane

2023

Weekly nowcasting of new COVID-19 cases using past viral load measurements

Viruses

Athar Khalil

Khalil Al Handawi

Zeina Mohsen

Afif Abdel Nour

Rita Feghali

...

2022/6/28

Risk-adverse optimization by Conditional Value-at-Risk and stochastic approximation

Charles Audet

Jean Bigeon

Romain Couderc

Michael Kokkolaras

2022/5/16

Using Parallel Coordinates in Optimization of Nano-Particle Drug Delivery

Journal of Biomechanical Engineering

Timoleon Kipouros

Ibrahim Chamseddine

Michael Kokkolaras

2022/4/1

Integrated design–manufacturing decision support for additively manufactured components

The International Journal of Advanced Manufacturing Technology

Lydia Lawand

Petter Andersson

Michael Kokkolaras

2022/3

Optimization of design margins allocation when making use of additive remanufacturing

Journal of Mechanical Design

Khalil Al Handawi

Massimo Panarotto

Petter Andersson

Ola Isaksson

Michael Kokkolaras

2022/1/1

Stochastic mesh adaptive direct search for blackbox optimization using probabilistic estimates

Computational Optimization and Applications

Charles Audet

Kwassi Joseph Dzahini

Michael Kokkolaras

Sébastien Le Digabel

2021/5

Optimization of infectious disease prevention and control policies using artificial life

IEEE Transactions on Emerging Topics in Computational Intelligence

Khalil Al Handawi

Michael Kokkolaras

2021/9/9

Scalable set-based design optimization and remanufacturing for meeting changing requirements

Journal of Mechanical Design

Khalil Al Handawi

Petter Andersson

Massimo Panarotto

Ola Isaksson

Michael Kokkolaras

2021/2/1

Predicting COVID-19 Incidences from Patients’ Viral Load using Deep-Learning

medRxiv

Athar Khalil

Khalil Al Handawi

Ibrahim Chamseddine

Zeina Mohsen

Afif Abdel Nour

...

2021/8/27

Two decades of blackbox optimization applications

Stéphane Alarie

Charles Audet

Aïmen E Gheribi

Michael Kokkolaras

Sébastien Le Digabel

2021/1/1

Optimal Allocation of Design Margins in Additive Remanufacturing

Khalil Al Handawi

Massimo Panarotto

Petter Andersson

Ola Isaksson

Michael Kokkolaras

2021/8/17

Design optimisation of a hybrid electric vehicle cooling system considering performance and packaging

International Journal of Vehicle Design

Kwang Jae Lee

Namwoo Kang

Michael Kokkolaras

Panos Y Papalambros

2021

Exploring the potential of digital twin-driven design of aero-engine structures

Proceedings of the Design Society

Julian Martinsson

Massimo Panarotto

Michael Kokkolaras

Ola Isaksson

2021/8

See List of Professors in Michael Kokkolaras University(McGill University)