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Masoud Emamian

About:

Over the 2-years past, I have been a laboratory instructor and head of hardware and software labs at the Department of Computer Engineering at the Amirkabir University of Technology. I have improved my experience with sensors and microcontrollers such as FPGA, Arduino, Arm, and a wide range of sensors.

Also, I am highly skilled back-end and Machine Learning developer with a strong foundation in electrical engineering. I just graduated with my M.S.C degree in Electrical Engineering (Mechatronic and Robotic) at the Amirkabir University of Technology, advised by Prof. Jafar MiliMonfared, working on Statistics, Machine Learning, Ensemble methods, Smart Monitoring, IoT, and Renewable Energy. I am also a team player and have a proven track record of working effectively with others. I am passionate about using my skills to solve real-world problems, and I am always eager to learn and grow.

Email: masoud.emami98@gmail.com




Research

PV

My research interests lie in the intersection of Renewable Energy, Machine learning, deep learning, Smart Grid, Monitoring systems, IoT, sensors, and Autonomous systems. I am particularly interested in using these technologies to develop new and innovative solutions for a variety of problems.

Design and implementation an smart monitoring system in photovoltaic power plants based on IoT (2017 - 2019)

IoT setup lstm

Developed a new optical controller for robotic manipulation based on IoRT (Internet of Robotics Things) (2018 - 2019)

manipulator manipulator

Develop a Robust Optimal Adaptive Sliding Mode Control with Disturbance Observer for a SCARA Robot System (2017 – 2018)

Design a smart meter using a field-programmable gate array (FPGA) to monitor body health (2020-2021)




Papers

  • Emamian, M.; Eskandari, A.; Aghaei, M.; Nedaei, A.; Sizkouhi, A.M.; Milimonfared, J. Cloud Computing and IoT Based Intelligent Monitoring System for Photovoltaic Plants Using Machine Learning Techniques. Energies 2022, 15, 3014.
  • M. Emamian et al., “Solar power forecasting with LSTM network ensemble,” Proc. 36th Eur. Photovolt. Sol. Energy Conf. Exhib., vol. 66, no. November, pp. 37–39, 2019, doi: 10.4229/EUPVSEC20192019-5CV.4.28.
  • Emamian, M.; Eskandari, A.; Aghaei, M.; Nedaei, A.; Sizkouhi, A.M.; Milimonfared, J. “Smart monitoring of photovoltaic plants with cloud computing and IoT using machine learning” (Accepted at the 40th European Photovoltaic Solar Energy Conference and Exhibition in Lisbon, Portugal (EU PVSEC 2023))
  • M. Emamian et al., “Design and implementation of optimal controller for manipulator robot based IORT” (Submitted at the 11th RSI International Conference on Robotics and Mechatronics (ICRoM 2023))




Teaching

  • Teaching Asistant, Electronic Circuit Amirkabir University of Technology , Fall 2022.
  • Instructor, Electronic Circuit Lab Amirkabir University of Technology , Spring 2022.
  • Instructor, Logic Circuit Lab Amirkabir University of Technology , Spring 2022.
  • Instructor, Electronic Circuit Lab Amirkabir University of Technology , Fall 2021.
  • Instructor, Logic Circuit Lab Amirkabir University of Technology , Fall 2021.
  • Instructor, Electronic Circuit Amirkabir University of Technology , Spring 2021.
  • Instructor, Electronic Circuit Amirkabir University of Technology , Spring 2021.
  • Instructor, C Programming Workshop Amirkabir University of Technology , Spring 2021.



Service

Reviewed for Journal: The Journal of Cluster Computing
Reviewed for Journal: The Journal of Supercomputing