MOSTAFA ASADI
Montreal,Canada
Summary
Motivated PhD student currently working towards degree Water engineering and management. Adept at prepping resources, equipment, and materials for research. Extensive background in implementation of AI in engineering practical project. High experienced researchers in laboratory works and simulation software.
Overview
2
2
years of professional experience
Work History
Research Assistant
Shimbar Company
Isfahan, Iran
10.2021 - 05.2023
- With my extensive experience in research, I was hired by Shimbar Company as a research assistant, tasked with sourcing and providing materials for a new project
- Due to company policy, I am unable to disclose specific details about the project
- In my role, I collaborate closely with AI specialists and designers to enhance performance and efficiency, specifically leveraging artificial intelligence to meet the company's goals
- I am a dedicated specialist in water engineering, and my PhD research focuses on developing Machine Learning algorithms to predict overflow events in sewer network systems
- My passion for this field drives me to continuously seek out industrial and practical projects where I can apply my expertise
- I thrive on exploring innovative solutions and am eager to contribute to initiatives that align with my knowledge and skills
Education
Ph.D. - Advanced Water Systems Operations And Management
École Polytechnique De Montréal
Montreal, QC08.2028
Master of Science - Civil Engineering/ Water and Hydraulic Structures Engineering
Amirkabir University of Technology (Tehran Polytechnic) (AUT)
Tehran, Iran01.2023
Bachelor of Science - Civil Engineering
Azad Islamic University of Isfahan
Isfahan, Iran01.2020
Skills
- Programming (Python)
- Supervised Machine learning
- Unsupervised Machine learning
- Reinforcement learning
- PCSWMM software
- HEC-RAS software
- ETABS
- AUTOCAD
Languages
- English, Professional Working
- Persian, Native or Bilingual
Publications
- Evaluating the perfomance of various rainfall generation methods on the Machine learning algorithms. (Submitted)
- Evaluation of scouring downstream of stilling basin type ΙΙ. (Submitted)
- Using Soft computing methods to predict scouring downstream of stilling basin type ΙΙ such as ANN, GEP, SVR. (Manuscript is ready)
- The effect of tailwater depth reduction on the scouring downstream of stilling basin type ΙΙ, (Under-preparation)
References
- Dr. Amirreza Zarrati, Amirrezazarrati@aut.ac.ir, Professor, Department of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, Iran
- Dr. Masoud Ghodsian, ghods@modares.ac.ir, Professor, Department of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, Iran
- Dr. Homayoon Katibeh, katibeh@aut.ac.ir, Associate Professor, Department of Mining Engineering Exploration, Amirkabir University of Technology, Tehran, Iran
- Dr. Hami Hojjati, Hami.hojjati@aut.ac.ir, PhD graduate, Department of Civil Engineering, Amirkabir University of Technology, Tehran, Iran
Researchinterests
- Deep learning and Machine-Learning
- Data Science
- Data mining
- Scouring
- Hydraulic models and turbulence
- Computational Fluid Mechanics (CFD)
- Groundwater
- Environmental Assessment
Awardsandhonours
- Ranked within the top 1% (300th) of more than 38,000 participants in the Iranian university entrance exam for the M.Sc. degree
- Valedictorian Student for the entire 12 years of school
Timeline
Research Assistant
Shimbar Company
10.2021 - 05.2023
Ph.D. - Advanced Water Systems Operations And Management
École Polytechnique De Montréal
Master of Science - Civil Engineering/ Water and Hydraulic Structures Engineering
Amirkabir University of Technology (Tehran Polytechnic) (AUT)
Bachelor of Science - Civil Engineering
Azad Islamic University of Isfahan
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