I’m a PhD graduate from CFD Lab, Mechanical Engineering department at UC Berkeley, currently working as a post-graduate researcher at the lab. Originally from Pakistan, I got my Bachelor’s degree from University of Engineering and Technology, Lahore and then started my PhD on a Fulbright scholarship from UC Berkeley. My research focus is on developing MixMOBO, a Bayesian optimization framework for multi-objective, mixed-variable problems, shape optimization using Design-by-Morphing and applications of these techniques. In my free time I like to lament Arsenal’s latest defeat, hike around, and enjoy the spectacular Berkeley sunsets.
Selected Publications
Bayesian optimization for mixed-variable, multi-objective problems
Haris Moazam Sheikh & Philip Marcus
Structural and Multidisciplinary Optimization, 65(11):331, 2022 [paper]
Airfoil optimization using Design-by-Morphing
Haris Moazam Sheikh, Sangjoon Lee, Jinge Wang & Philip Marcus
Journal of Computational Design and Engineering, 10(4), 2023 [paper]
Optimization of the shape of a hydrokinetic turbine’s draft tube and hub assembly using DbM with Bayesian optimization
Haris Moazam Sheikh, Tess Callan, Kealan Hennesy & Philip Marcus
Computer Methods in Applied Mechanics and Engineering, 401:115654, 2022 [paper]
Strength through defects: A novel bayesian approach for the optimization of architected materials
Haris Moazam Sheikh*, Zacharias Vangelatos*, Philip Marcus, Costas Grigoropoulos, Victor Lopez, George Flamourakis & Maria Farsari
Science Advances, 7(41), 2021 [paper] *contributed equally to this work.
Systematic design of Cauchy-symmetric structures through Bayesian optimization
Haris Moazam Sheikh, Timon Meier, Brian Blankenship, Zacharias Vangelatos, Naichen Zhao, Philip Marcus & Costas Grigoropoulos
International Journal of Mechanical Sciences, 236:107741, 2022 [paper]
Computational fluid dynamics analysis of a modified Savonius rotor and optimization using response surface methodology
Haris Moazam Sheikh, Zeeshan Shabbir, Hassan Ahmed, Muhammad Hamza Waseem & Muhammad Zubair Sheikh
Wind Engineering, 41(5):285–296, 2017 [paper]
Bayesian-Optimized Riblet Surface Design for Turbulent Drag Reduction via DbM with Large Eddy Simulation
Sangjoon Lee, Haris Moazam Sheikh, Dahyun Lim, Grace Gu & Philip Marcus
Journal of Mechanical Design, 146(8):081701, 2024 [paper]
Research at CFD Lab with Prof. Marcus:
Full-Length Articles
(2024) Bayesian-Optimized Riblet Surface Design for Turbulent Drag Reduction via Design-by-Morphing With Large Eddy Simulation, Journal of Mechanical Design 146(8), p. 081701, url, doi:10.1115/1.4064413
(2023) Airfoil optimization using Design-by-Morphing, Journal of Computational Design and Engineering 10(4), p. 1443-1459, url, doi:10.1093/jcde/qwad059
(2022) Systematic design of Cauchy symmetric structures through Bayesian optimization, International Journal of Mechanical Sciences 236, p. 107741, url, doi:10.1016/j.ijmecsci.2022.107741
(2022) Optimization of the shape of a hydrokinetic turbine’s draft tube and hub assembly using Design-by-Morphing with Bayesian optimization, Computer Methods in Applied Mechanics and Engineering 401, p. 115654, url, doi:10.1016/j.cma.2022.115654
(2022) Bayesian optimization for mixed-variable, multi-objective problems, Structural and Multidisciplinary Optimization 65(11), p. 331, url, doi:10.1007/s00158-022-03382-y
(2021) Strength through defects: A novel Bayesian approach for the optimization of architected materials, Science Advances 7(41), p. eabk2218, pdf, doi:10.1126/sciadv.abk2218
Conference Papers/Abstracts
(2022) Design-by-Morphing: A Shape Design Methodology for Fluid Machinery, APS Division of Fluid Dynamics Meeting Abstracts, p. U29-011, url
(2021) Shape Optimization Methodology for Fluid Flows Using Mixed Variable Bayesian Optimization and Design-by-Morphing, APS Division of Fluid Dynamics Meeting Abstracts, p. A15-004, url
(2019) Vertical axis wind turbine design using design-by-morphing and Bayesian optimization, APS Division of Fluid Dynamics Meeting Abstracts, p. Q14–007, pdf
(2018) Optimization Of Vertical Axis Wind Turbines Using Design-By-Morphing, APS Division of Fluid Dynamics Meeting Abstracts 63, p. D06-002, url