CV
My working and academic CV.
Basics
| Name | Saeed Rafieyan |
| Label | Biomedical Engineer, Data scientist |
| [email protected] | |
| Phone | (+98) 912 077 6219 |
| Url | https://sraf.ir |
| Summary | A Biomedical Engineer and an AI enthusiast |
Education
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2018.09 - 2022.01 Tehran, Iran
Master of Science
Tarbiat Modares University, Tehran, Iran
Chemical Engineering-Biomedical Engineering
- Thesis: Predicting cell behavior on cardiac tissue engineering scaffolds using machine learning algorithms
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2013.09 - 2017.09 Markazi, Iran
Bachelor of Science
Tafresh University, Markazi, Iran
Chemical Engineering
- Thesis: Simulation of the biodiesel production process with Aspen HYSYS
Research interests
| Protein Design using AI | |
| Drug Discovery using AI | |
| Medical Image Processing | |
| Digital Healthcare | |
| Bioinformatics | |
| Tissue Engineering |
Publications
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2024.08 A Practical Machine Learning Approach for Predicting the Quality of 3D (Bio)Printed Scaffolds
Biofabrication, IOPscience
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2024.04 Acetone-butanol-ethanol fermentation products recovery: Challenges and opportunities
Chemical Engineering Research and Design, Elsevier
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2023.03 MLATE: Machine learning for predicting cell behavior on cardiac tissue engineering scaffolds
Computers in Biology and Medicine, Elsevier
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2020.11 Process Simulation of Biodiesel Production from Soybean Oil with Aspen HYSYS: A Comparative Study of two different processes
Proceedings of the 11th International Chemical Engineering Congress & Exhibition, Fouman, Iran
Work
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2023.01 - Present Data Scientist
HiWEB
I am working on predicting customer behavior, such as the next purchase time, next package purchase, churn probability, and customer segmentation, based on purchase history. These predictions aim to provide business insights that increase customer loyalty and reduce churn rate using machine learning and deep learning algorithms.
- Churn prediction, Customer behavior, Customer segmentation
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2021.01 - 2021.07 Data Scientist
YecomSoft
I worked on developing a text-to-speech system for the Persian language and focused on Persian natural language processing.
- Transformers, NLP
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2020.08 - 2020.10 Django Web Developer Intern
Mapsa
In this internship, I learned how to manage datasets and develop a website backend and its APIs.
- Dataset development, Backend
Certificates
| Python for Genomic Data Science | |
| coursera | 2022-11 |
| Deep Learning with PyTorch : Object Localization | |
| coursera | 2022-11 |
| Data Visualization using Plotly | |
| coursera | 2022-08 |
| Introduction to Genomic Technologies | |
| coursera | 2022-08 |
| Deep Learning with PyTorch : Image Segmentation | |
| coursera | 2022-08 |
| Neural Networks and Deep Learning | |
| coursera | 2020-11 |
Skills
| Computational Skills | |
| Supervised and Unsupervised Machine Learning Algorithms | |
| Deep Learning Algorithms | |
| Natural Language Processing | |
| Visualization libraries such as Matplotlib, Plotly, etc. | |
| Pytorch Framework | |
| Pandas, Numpy and Sklearn | |
| Database Development |
| Lab Skills | |
| Decellularization Protocols | |
| Animal Cell Culture | |
| Hydrogel Preparation | |
| Scaffolds Fabrication |
Languages
| English | |
| Toefl 90/120 (R:23, L:25, S:21, W:21), Registered to retake the test on November 24th. |
| Persian | |
| Native speaker |
Volunteer
References
| Professor Ebrahim Vasheghani-Farahani | |
| Professor, Department of Biomedical Engineering, Tarbiat Modares University Email: [email protected] Phone: +98(21)82883338 |
| Dr. Mohammad Fakhroleslam | |
| Assistant Professor, Department of Chemical Engineering, Tarbiat Modares University Email: [email protected] Phone: +98(21)82883314 |
| Dr. Ahamd Bayat | |
| Assistant Professor, Department of Chemical Engineering, Tafresh University Email: [email protected] Phone: +98(86)36241326 |