Personal Summary[edit | edit source]
A hardworking, self-motivated and competent engineering graduate who possesses a comprehensive knowledge of advanced manufacturing, machine learning and energy systems.
A team player with excellent communication skills and academic qualifications, who has self-discipline and the ability to work with the minimum of supervision.
Academic Background[edit | edit source]
I studied mechanical engineering at Babol Noshirvani University of Technology for BSc (2009-2013; GPA: 3.4/4). My thesis title was "Defect detection of metal forming processes– Rubber pad forming" (Score: 19 out of 20). Next, I graduated from Tehran Tarbiat Modares University with an MSc in mechanical engineering (2014-2017; GPA: 3.81/4). During my master's education, I was a member of additive manufacturing and advanced manufacturing laboratory. I undertook comprehensive research on various types of manufacturing methods and optimization. My thesis was also about the improvement of additive manufacturing with composite materials, statistical modeling and machine learning optimization (Score: 19.23 out of 20). Moreover, I extensively conducted research into artificial intelligence for advanced manufacturing. I have an in-depth knowledge of programming, simulation methods and modeling.
Because of my super interest in data science, I have joined a professional research group (since 2018) at Tehran University, -Tehran, -Iran those who work on machine learning and deep learning applications, forecasting, image processing and signal processing. This cooperation has led to several valuable publications and helped me to significantly gain insight into the data analysis area including two practical applications: energy systems and market prediction.
Language[edit | edit source]
|
Language skill |
Persian | Native |
| English | Fluent (IELTS: 6.5) |
Training courses[edit | edit source]
| Python | Coursera |
| Machine Learning and deep learning | Coursera |
Publications[edit | edit source]
| Machine Learning Applications
|
| Ahmadi A, Nabipour M, Mohammadi B, Moradi A. Long-term Wind Power Forecasting using Tree-based Learning Algorithms. Journal of IEEE Access. Status: published |
| Ahmadi A, Nabipour M, Mohammadi B, Moradi A. Ensemble Learning-based Dynamic Line Rating Forecasting under Cyberattacks. Journal of IEEE Transactions on Power Delivery. Status: published |
| Ahmadi A, Nabipour M, Taheri S, Mohammadi B, Moradi A. A Novel Framework for Detecting FDI Attacks on Forecasting Systems. Journal of IEEE Transactions on Industrial Informatics. Status: accepted |
| Taheri S, Nabipour M, Ahmadi A, Mohammadi B. Employing Deep Learning Algorithms for Fault Detection of HVAC Systems. Journal of Energy and Buildings. Status: under revision.
Nabipour M, Ahmadi A, Moradi A. Damage detection of wind turbine system employing signal processing and machine learning techniques. Status: preprint |
| My primary contribution to the papers: Machine Learning Engineering |
| Manufacturing, Optimization, Machine learning (from Advanced Manufacturing Laboratory)
|
| Nabipour M, Akhoundi B. An experimental study of FDM parameters effects on tensile strength, density and production time of ABS/Cu composites. Journal of plastics and elastomers. Status: published |
| Akhoundi B, Nabipour M, Hajami F, Shakoori D. An Experimental Study of Nozzle Temperature and Heat Treatment (Annealing) effects on Mechanical Properties of HTPLA in Fused Deposition Modeling. Journal of Polymer Engineering & Science. Status: published
Akhoundi B, Nabipour M, Mosavi A, Shamshirband. Calculating printing speed for polylactic acid/continuous glass fiber composites via fused filament fabrication. Journal of Thermoplastic Composite Materials. Status: published |
| Nabipour M, Akhoundi B, Mosavi A, Shamshirband. Intelligent defect detection in additive manufacturing using deep learning-based image processing. Journal of Advanced Manufacturing Technology. Status: under review
Akhoundi B, Nabipour M, Mosavi A, Shamshirband. Intelligent fault diagnosis of FDM process considering vibration signals. Journal of Manufacturing Processes. Status: under review |
| My primary contribution to the papers: Problem Definition and Data Analysis |
Professional experience[edit | edit source]
| Member of Advanced manufacturing laboratory | Tarbiat Modares University
2014-2017 |
| Cooperation with Smart energy systems laboratory | University of Tabriz
2019-2021 |
| Cooperation with Machine Learning laboratory | NTNU
2019-2021 |
| Member of Institute of Electrical and Electronics Engineers (IEEE) | Since 2018 |
| Reviewer of IEEE journals, Plose one, MDPI Journals | Since 2020 |
Software skill[edit | edit source]
| · Solidworks | · Python | · Inventor | · Abaqus |
| · Solidcam | · Comsol | · Catia | · Matlab |
Teaching experience[edit | edit source]
| ● Teaching assistant for numerical analysis/ Babol Noshirvani University of Technology | 2014 |
| ● Teaching assistant for physics 2 course/ Babol Noshirvani University of Technology | 2014 |
| ● Teaching assistant for advanced mathematics/ Tehran Tarbiat Modares University | 2016 |
| ● Teaching assistant for DOE course/ Tehran Tarbiat Modares University | 2017 |
| ● Teaching machine learning applications/ Online course | 2021 |
Work experience[edit | edit source]
| Satrap | Knowledge enterprise for progressive manufacturing | Researcher into additive manufacturing | 2015−2016 |
| Petro sadaf | Manufacturer of wellhead equipment | Technical engineer | 2017-2018 |
| Zharfiran | Data science company | Data scientist | 2018-2020 |