@article{pajouhande2026bioprinting, title = {{Bioprinting-Enabled Customization of Biohybrid Actuators: Scaling Dimensions and Functional Complexity}}, author = {Pajouhande, Maede and Celikkin, Nehar and Rafieyan, Saeed and Tirelli, Maria Celeste and Maiullari, Fabio and Piletskaya, Maryia and Costantini, Marco}, journal = {Gels}, year = {2026}, volume = {12}, number = {10}, pages = {923}, doi = {10.3390/gels12100923} } @article{rafieyan2026mlate, title = {{MLATE V3: An Open-Source Multi-Tissue AI Framework for Data-Driven Optimization of 3D-Printed and Bioprinted Scaffolds}}, author = {Rafieyan, Saeed and Partovi Nasr, Minoo and Ansari, Elham and Kheradvar Kolour, Alireza and Banimohamad-Shotorbani, Behnaz and Vasheghani-Farahani, Ebrahim}, journal = {Biofabrication}, year = {2026}, month = oct, doi = {10.1088/1758-5090/aeb162}, note = {In press} } @article{qiao2025data, title = {{Data-driven insights for enhanced cellulose conversion to 5-hydroxymethylfurfural using machine learning}}, author = {Qiao, Yanming and Kargaran, Ehsan and Ji, Hao and Madadi, Meysam and Rafieyan, Saeed and Liu, Dan}, journal = {Bioresource Technology}, year = {2025}, volume = {430}, pages = {132582}, doi = {10.1016/j.biortech.2025.132582} } @article{rafieyan2024practical, title = {{A practical machine learning approach for predicting the quality of 3D (bio)printed scaffolds}}, author = {Rafieyan, Saeed and Ansari, Elham and Vasheghani-Farahani, Ebrahim}, journal = {Biofabrication}, year = {2024}, volume = {16}, number = {4}, pages = {045014}, doi = {10.1088/1758-5090/ad6374} } @article{rafieyan2024acetone, title = {{Acetone-butanol-ethanol fermentation products recovery: Challenges and opportunities}}, author = {Rafieyan, Saeed and Boojari, Mohammad Amin and Setayeshnia, Ali and Fakhroleslam, Mohammad and Sánchez-Ramírez, Eduardo and Bay, Mohammad Saber and Segovia-Hernández, Juan Gabriel}, journal = {Chemical Engineering Research and Design}, year = {2024}, volume = {205}, pages = {640--664}, doi = {10.1016/j.cherd.2024.04.021} } @article{rafieyan2023mlate, title = {{MLATE: Machine learning for predicting cell behavior on cardiac tissue engineering scaffolds}}, author = {Rafieyan, Saeed and Vasheghani-Farahani, Ebrahim and Baheiraei, Nafiseh and Keshavarz, Hamidreza}, journal = {Computers in Biology and Medicine}, year = {2023}, volume = {158}, pages = {106804}, doi = {10.1016/j.compbiomed.2023.106804} } @article{fan2022review, title = {{A Review of Recent Advances in Natural Polymer-Based Scaffolds for Musculoskeletal Tissue Engineering}}, author = {Fan, Jingzhi and Abedi-Dorcheh, Keyvan and Sadat Vaziri, Asma and Kazemi-Aghdam, Fereshteh and Rafieyan, Saeed and Sohrabinejad, Masoume and Ghorbani, Mina and Rastegar Adib, Fatemeh and Ghasemi, Zahra and Klavins, Kristaps and Jahed, Vahid}, journal = {Polymers}, year = {2022}, volume = {14}, number = {10}, pages = {2097}, doi = {10.3390/polym14102097} } @mastersthesis{rafieyan2022predicting, title = {{Predicting cell behavior on cardiac tissue engineering scaffolds using machine learning algorithms}}, author = {Rafieyan, Saeed}, school = {Tarbiat Modares University, Tehran}, year = {2022}, month = feb } @inproceedings{rafieyan2020process, title = {{Process Simulation of Biodiesel Production from Soybean Oil with Aspen HYSYS: A Comparative Study of two different processes}}, author = {Rafieyan, Saeed and Bayat, Ahmad}, booktitle = {11th International Chemical Engineering Congress \& Exhibition (IChEC 2020), Fouman, Iran}, year = {2020}, month = apr, url = {https://www.researchgate.net/publication/345254236_Process_Simulation_of_Biodiesel_Production_from_Soybean_Oil_with_Aspen_HYSYS_A_Comparative_Study_of_two_different_processes} }