me

Mohammad Erfan Doraki

#Good_Vibs#Energetic_Engineer

I hold a bachelor's degree in Mechanics and a master's degree in Energy Engineering. My academic voyage allowed me to delve into intriguing realms. During my undergraduate years, I explored the fascinating domain of nanofluids, unraveling their unique properties and potential applications. For my master's thesis, I ventured into a critical issue—investigating the far-reaching effects of transportation-induced air pollution on human health. Additionally, I am passionate about agent-based modeling and have extensive expertise in this area. and As a dedicated teacher, I've had the privilege of sharing my knowledge and insights with others, helping them in many schools of all over the country. With a senior GPA of 3.9 out of 4, I've demonstrated my commitment to academic excellence.excellence.

Beyond academia, I'm an ambitious graduate with a clear understanding of the role and responsibilities associated with being an engineer. I'm a motivated, focused individual capable of providing support for multiple concurrent priorities. You can rely on me as a reliable, trustworthy, self-motivated person who enjoys working with people and can adapt easily to new situations, configurations, or technologies as needed. In my personal life, I'm a keen runner who enjoys mountain biking (both trail and endurance), as well as traveling, cooking, listening to music, and savoring the beauty of nature with friends.

Programmer

Python, Java, Xml, Matlab, R

Modeling and Optimization

Agent-Based modeling, GAMS, Poyomo, AgentPy, MUSE, MATSim

Machine Learning

Unsupervised learning, Supervised learning, LSTM, Transformer learning

Analytics

Rapidminer, Social Behavior, Resource optimization, Netlogo

Education and Experience

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Some of Projects and Publications

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Magnetic Density Sorting with nanofluid

In this study, the performance of magnetic nanofluids in the separation of near-density polymers was investigated. First, the magnetic fluid was modeled as a fluid with exponential density in a rectangular channel with Comsol software, and then PET and PP polymer particles were injected into the fluid in the form of circles with identical diameters. Validation was performed with numerical data in related scenarios. Then, by changing different parameters, the optimal state for the separation duct of polymers and polymer particles was found. The optimal state was calculated with a particle diameter of 4 mm. Then, by placing separators in the channel, the separation process was optimized by examining different states, and finally, the most optimal model calculated for the separation of near-density polymer particles was presented using magnetic nanofluid.

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Investigating and comparing the performance of Baseboard and Panel radiators

In this study, to evaluate the performance of Baseboard and Panel radiators with thermal comfort coefficient, A room with specific dimensions was modeled with DesignBuilder, then calculated the speed and temperature parameters in different parts of the room in two modes of using Panel and Baseboard radiators and it turned out that use of Baseboard radiators has a more uniform temperature and speed distribution, but in a Panel radiator, the room is warmer. Then, by calculating the thermal comfort indices, It was shown that using a Panel radiator is a more favorable environment and using a Baseboard radiator is a more uniform environment in terms of thermal comfort.

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Agent-based modeling of tehran traffic

Agent-based modeling of Tehran traffic employs MATSim (Multi-Agent Transport Simulation) to create a sophisticated simulation environment. MATSim is a powerful framework that enables the modeling of individual travelers and their decision-making processes within the transportation system. In this context, a synthetic population is utilized to represent a diverse range of virtual commuters, reflecting the demographic and behavioral characteristics of Tehran's real population. These synthetic agents mimic real-world travelers, allowing for the investigation of various scenarios and interventions to optimize traffic flow, reduce congestion, and enhance overall transportation efficiency in Tehran's dynamic urban environment.

GET IN TOUCH

  • Sharif University of Technology
  • Tehran, Iran
  • +98 9130435644
  • m.doraki@energy.sharif.edu
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