Mohammad Amin Soleimanzade
Machine Learning Resident at Alberta Machine Intelligence Institute (Amii)- Claim this Profile
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Bio
Credentials
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Deep Learning: GANs and Variational Autoencoders
UdemyFeb, 2022- Nov, 2024 -
Cutting-Edge AI: Deep Reinforcement Learning in Python
UdemyDec, 2021- Nov, 2024 -
Advanced AI: Deep Reinforcement Learning in Python
UdemyFeb, 2021- Nov, 2024 -
Artificial Intelligence: Reinforcement Learning in Python
UdemyDec, 2020- Nov, 2024 -
Optimization Problems and Algorithms
UdemyJun, 2020- Nov, 2024 -
Deep Learning A-Z™: Hands-On Artificial Neural Networks
UdemyMay, 2020- Nov, 2024 -
Machine Learning A-Z™: Hands-On Python & R In Data Science
UdemyJan, 2020- Nov, 2024
Experience
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Alberta Machine Intelligence Institute (Amii)
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Canada
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Research Services
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1 - 100 Employee
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Machine Learning Resident
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Jan 2023 - Present
• Collaborated with a team of Machine Learning Scientists and ISL Adapt to optimize the performance of the Drayton Valley Water Treatment Plant using Reinforcement Learning. • Utilized deep reinforcement learning algorithms to solve the control problem; substantially improved the system's performance indicators and models' sample efficiency through effective problem formulation. • Thoughtfully designed an accurate neural network tailored for time series forecasting that facilitated strategic decision-making for the client. • Conducted in-depth exploratory data analysis; presented complex trends using effective data visualization that enabled subject matter experts to discover intriguing patterns. • Attended weekly meetings with the client and delivered coherent presentations; clearly communicated ideas and insights obtained from results to technical and non-technical audiences. Show less
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AltaML
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Canada
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Software Development
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100 - 200 Employee
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Associate Machine Learning Developer
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Sep 2022 - Dec 2022
• Collaborated with a team (4 members) of Machine Learning Developers to improve the alarm system performance of a leading industrial automation company in Western Canada. • Investigated applications of graph-based machine learning algorithms and graph theory in Spatio-temporal clustering and alarm pattern recognition. • Proposed a novel technique based on graph data structures for visualizing alarm data that significantly simplified the interpretation of alarm floods. • Attended weekly meetings with the client and clearly communicated ideas and findings to technical and non-technical audiences. • Participated in a hackathon hosted by Microsoft and ranked 2nd among 6 teams; completed all tasks by the deadline using teamwork, time management, critical thinking, and problem-solving skills. • Collaborated with a team of Machine Learning and Software Developers to build a mobile app for diagnosing children’s diseases; built a classification network based on the BERT language model to process input symptoms and output the diagnosis accordingly. Show less
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University of Alberta
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Canada
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Higher Education
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700 & Above Employee
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Research Assistant
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Aug 2019 - Dec 2022
• Conducted research on the applications of Machine Learning and Deep Reinforcement Learning in energy optimization, membrane fabrication, and optical fiber communication; gained exposure to data in different domains (photovoltaic power time series, image data, gas sensors data, and chemical compounds).• Improved the energy efficiency of a hybrid desalination system significantly by formulating the problem as a partially observable Markov Decision Process (POMDP) and modifying the architecture of function approximators of the soft actor-critic (SAC) reinforcement learning algorithm.• Designed an impairment compensator using the TD3 reinforcement learning algorithm to accurately recover distorted signals of different polarizations in optical fiber communication systems.• Implemented the multi-agent deep deterministic policy gradient (MADDPG) algorithm to utilize the decentralized execution scheme for energy optimization of hybrid desalination processes consisting of energy storage systems.• Achieved 52% energy savings in a photovoltaic-powered desalination system by employing CNNs to perform solar power forecasting.• Delivered high-impact and professional presentations to technical and non-technical audiences; presented results through compelling visualization and clearly explained ideas. Show less
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Teaching Assistant
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Sep 2020 - Dec 2021
Mechanical Engineering Laboratory I• Collaborated with one team member to demonstrate laboratory experiments related to mechanical engineering measurement techniques to 100+ students per semester.• Communicated effectively with 20+ students per session to explain experiments accurately.• Trained and mentored three new teaching assistants to ensure 100% compliance with the procedure of presentations and grading.• Held office hours to answer the students' questions regarding the assignments.• Graded and evaluated lab reports rigorously; met all deadlines determined by course instructors.• Received positive feedback from students and course instructors. Show less
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Teaching Assistant
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May 2020 - Aug 2020
Fluid Mechanics II• Graded the assignments.• Assisted students in understanding the material presented in class.• Reviewed the assignments, quizzes, as well as midterm and final exams.
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Education
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2019 - 2021
University of Alberta
Master of Science - MS, Mechanical Engineering -
2015 - 2019
Sharif University of Technology
Bachelor of Science - BS, Mechanical Engineering -
2011 - 2015
National Organization for Development of Exceptional Talents (Sampad)
High School Diploma, 19.77 out of 20 (4 out of 4)
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