Mohammad Reza Jahanbakhsh is a chemical engineer with a master's degree from Shiraz University, where he worked on catalyst synthesis and CO2 decomposition using a plasma reactor. . He has completed internships in the detergent industries, gaining practical experience in chemical processes and operations. He has also developed several projects using various software, such as ANSYS FLUENT, COMSOL, ASPEN PLUS, and AutoCAD Plant 3D, as well as Python, especially deep learning techniques such as convolutional recurrent neural networks (CRNN) and physic informed neural networks (PINN). He has published multiple papers and presented his research at international conferences. He is passionate about applying his knowledge and skills to solve real-world problems and contribute to the advancement of science and technology.
Conference Papers
- مدلسازی و حل معادله انتقال جرم با روش یادگیری عمیق (Deep Learning) با استفاده از مدل (PINN) ارائه شده در 6th International Conference on Technology Development in Chemical Engineering (1402)
- طراحی و بهینه سازی حرارتی فرآیند جذب گاز کربن دی اکسید ارائه شده در The first international conference on petroleum engineering, geological gas and petrochemical industries (1402)
- مقایسه و روند پیشرفت روش های تشخیص سن با استفاده از یادگیری عمیق ارائه شده در 11th National Congress of the New Technologies in Sustainable Development of Iran (1400)
- مقایسه و بهینه سازی فرآیند پالایش انواع نفت خام در برج اتمسفریک در نرم افزار ®HYSYS ارائه شده در The 3rd International Conference on Oil, Gas, Petrochemicals and HSE (1397)
- مروری بر تجزیه کربن دی اکسید در راکتور پالسمای DBD و بررسی پارامتر های مهم در بهینه سازی راکتور ارائه شده در The 5th National Conference on Advanced Research in Chemistry and Chemistry (1397)