The Advanced Computational Laboratory (ACL) at Istanbul Okan University is being established as a core research infrastructure to support intensive computational science and engineering across multiple disciplines. The laboratory provides a powerful environment for large-scale simulations, artificial intelligence, big data analytics, and advanced engineering modeling, enabling researchers to tackle problems that are beyond the reach of standard computing platforms.
About the Laboratory
The Advanced Computational Laboratory operates under the Faculty of Engineering and Natural Sciences and serves as a shared computational backbone for cutting-edge academic and applied research. The lab is designed to bring together researchers from different engineering domains around a common high-performance computing (HPC) infrastructure.
Mission
To support multidisciplinary, computation-driven research in engineering by providing reliable, scalable and advanced computing resources.
Supported Engineering Disciplines and Applications
Researchers
The Advanced Computational Laboratory welcomes international researchers, visiting scholars and project partners who require high-performance computing resources for their research.
Invited researchers may use the laboratory’s infrastructure and are encouraged to list the lab as an institutional affiliation in publications arising from the work.
Benefits of Collaboration
Access & Collaboration Policy
Priority access is given to students, faculty members and researchers of the Faculty of Engineering and Natural Sciences. International researchers may apply for access through the Invited Researchers program. For collaboration requests, project proposals or access applications, please contact the laboratory via the provided email or contact form.
Wu Y., Moghadas B.K., Gu D., Salahshour S., Hashemi M., "Fabrication and characterization of biological biosensors in sports injury treatment: High sensitivity of silver oxide using artificial neural network modeling," (2025) Engineering Applications of Artificial Intelligence, 156, art. no. 111120.
Salahshour S. et al., "Heat transfer and entropy investigation of non-Newtonian nanofluid mixed convection in a cubic cavity with a wavy bottom wall under the influence of a magnetic field," (2025) Case Studies in Thermal Engineering, 71, art. no. 106222.
Ali A.B.M., Hussein R.A., Singh N.S.S., Salahshour S., Pirmoradian M., Mohammad Sajadi S., Deriszadeh A., "Modeling the effects of pressure and magnetic field on the phase change of sodium sulfate/magnesium chloride hexahydrate in nanochannels," (2025) International Journal of Thermofluids, 26, art. no. 101116.
Sawaran Singh N.S., Ali A.B.M., Ameen H.F.M., Al-Zahiwat M.M., Salahshour S., Emami N., "Carbon-doped percentage effect on the mechanical properties of nanoporous silicon sample using molecular dynamics simulation," (2025) Case Studies in Chemical and Environmental Engineering, 11, art. no. 101168.
Omar I., Marhoon T., Babadoust S., Najm A.S., Pirmoradian M., Salahshour S., Sajadi S.M., "Static stability of functionally graded porous nanoplates under uniform and non-uniform in-plane loads and various boundary conditions based on the nonlocal strain gradient theory," (2025) Results in Engineering, 25, art. no. 103612.
Ru Y., Ali A.B.M., Qader K.H., Abdulaali H.K., Jhala R., Ismailov S., Salahshour S., Mokhtarian A., "Accurate prediction of the rheological behavior of MWCNT-Al2O3/water-ethylene glycol nanofluid with metaheuristic-optimized machine learning models," (2025) International Journal of Thermal Sciences, 211, art. no. 109691.
Salahshour S. et al., Optimizing the thermostat setting points of residential and insulated buildings in the direction of economic efficiency and thermal comfort through advanced multi-purpose techniques," (2025) Energy and Buildings, 332, art. no. 115428.
Ali A.B.M., Qader K.H., Al-Zahiwat M.M., Sawaran Singh N.S., Salahshour S., Mohammad Sajadi S., Mokhtarian A., Effect of atomic ratio of ions on the particle diffusion and permeability of carbon nanotubes in reverse electrodialysis process using molecular dynamics simulation," (2025) Case Studies in Chemical and Environmental Engineering, 11, art. no. 101084.
Liu H., Basem A., Jasim D.J., Hashemian M., Ali Eftekhari S., Al-fanhrawi H.J., Abdullaeva B., Salahshour S., "Multi-objective optimization of buckling load and natural frequency in functionally graded porous nanobeams using non-dominated sorting genetic Algorithm-II," (2025) Engineering Applications of Artificial Intelligence, 142, art. no. 109938.
Shao X., Marzban A., Pourfattah F., Akbari O.A., Ahmadi G., Emami N., Salahshour S., Optimization of the flow guiding fins configuration and tube arrangements in a shell and tube heat exchanger: Coupling response surface methodology and CFDv," (2025) Case Studies in Thermal Engineering, 72, art. no. 106279.
Salahshour S. et al., "Analysis of different phase change materials (PCMs) and wall material in a nano-circular space thermal energy storage (TES) system: A molecular dynamics approach," (2025) International Journal of Thermal Sciences, 215, art. no. 109954.
