Iman Gholaminezhad
Education
University of Guilan, Bachelor of Engineering (Thermo-Fluid Mechanics – 2009 –2013), Iran.
Thesis: Optimization of robot gripper and leg mechanisms.
Shiraz University, Master of Engineering (Energy Conversion – 2014 –2017), Iran.
Thesis: Experimental and modeling study of methane fueled solid oxide
fuel cells with graded anode structure.
Journal Papers
(1)I. Gholaminezhad, K. Jafarpur, M.H. Paydar, G. Karimi (2017) Combined
micro-scale and macro-scale multi-objective optimization and uncertainty
analysis of methane fed solid oxide fuel cells, Energy Converison and
Management (under final revision).
(2)I. Gholaminezhad, M.H. Paydar, K. Jafarpur, S. Paydar (2017) Multiscale
mathematical modeling of methane-fueled SOFCs: Predicting
limiting current density using a modified Fick's model, Energy Converison
and Management, 148, 222-237.
(3)A. Jamali, E. Khaleghi, I. Gholaminezhad, N. Nariman-zadeh, B.
Gholaminia, A. Jamal-Omidi (2017) Multi-objective genetic programming
approach for robust modeling of complex manufacturing processes havingprobabilistic uncertainty in experimental data, J Intell Manuf, 28 (1), 149-
163.
(4) I. Gholaminezhad, H. Assimi, A. Jamali, D. Ashouri (2016) Uncertainty
quantification and robust modeling of selective laser melting process using
stochastic multi-objective approach, Int J Adv Manuf Technol, 86 (5-8),
1425-1441.
(5)I. Gholaminezhad, A. Jamali, H. Assimi (2016) Multi-objective
reliability-based robust design optimization of robot gripper mechanism
with probabilistically uncertain parameters, Neural Comput & Applic,
doi.org/10.1007/s00521-016-2392-7.
(6)I. Gholaminezhad, A. Jamali (2015) A multi-objective differential
evolution approach based on e-elimination uniform-diversity for
mechanism design, Struct Multidisc Optim, 52 (5), 861-877.
(7)A. Jamali, E. Khaleghi, I. Gholaminezhad, N. Nariman-zadeh (2016)
Modeling and prediction of complex non-linear processes by using Pareto
multi-objective genetic programming, Int J Systems Science, 47 (7), 1675-
1688.
(8) V. Majdabadi-Farahani, M. Hanif, I. Gholaminezhad, A. Jamali, N.
Nariman-Zadeh (2014) Multi-objective optimal design of online PID
controllers using model predictive control based on the group method of
data handling-type neural networks, Connection Science, 26 (4), 349-365.
Conference Papers
(1) H. Shirani, I. Gholaminezhad, S. Paydar, Z. Salehi, M.H. Paydar,
Electrical conductivity and electrochemical performance of (Nd0.9La0.1)2
Ni0.75Cu0.25??! –Sm0.2Ce0.8O1.9 composite as a candidate for using as SOFC
cathode, 21st International Conference on Solid State Ionics, 2017, Padua,
Italy.
(2) Z. salehi, I. Gholaminezhad, S. Paydar, H. Shirani, M.E. Bahrololoom,
M.H. Paydar, Characterization of La0.3Ca0.7Fe0.7Cr0.3O3_δ/
BaZr0.1Ce0.7Y0.2O3-δ - Ce0.8Sm0.2O2−δ composite air electrode for reversible
solid oxide fuel cell applications, 21st International Conference on Solid
State Ionics, 2017, Padua, Italy.
(3)S. Paydar, I. Gholaminezhad, M.H. Shariat, S. Javadpour (2017)
Experimental and modeling study of electrical conductivity of LSM-
50wt.% YSZ8 composite cathode, 11th Biennial Conference of the Iranian
Ceramic Society, Tehran, Iran. (in persian)
(4)I. Gholaminezhad, G. Iacca (2014) A multi-objective relative clustering
genetic algorithm with adaptive local/global search, 17th European
Conference, EvoApplications, Granada, Spain.
(5)I. Gholaminezhad, A. Jamali, H. Assimi (2014) Automated synthesis of
optimal controller using multi-objective genetic programming for twomass-
spring system, 2nd RSI/ISM International Conference on Robotics and
Mechatronics, Tehran, Iran.
