Sajjad Edalatzadeh, PhD
Software Algorithm Engineer at Tangam Systems- Claim this Profile
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Persian Native or bilingual proficiency
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English Full professional proficiency
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French Elementary proficiency
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German Limited working proficiency
Topline Score
Bio
Sriram Narasimhan
I served as a member/examiner on Sajjad's PhD committee and was extremely impressed with his analytical skills, approach to problem understanding and the mathematical rigour he demonstrated. Sajjad is well-rounded in his training, both in terms of the applied concepts of structural dynamics as well as in fundamental control theory. He has my unreserved support and I wish him all the best in his career.
Brian Ingalls
I served on Sajjad’s advisory committee during his time at Waterloo. He made significant contributions in his time here. This is especially impressive because his engineering background had not prepared him for the analytical work in which he engaged. He is a fast learner, and dedicated to his research. Sajjad’s project was primarily analytical, but he demonstrated those results through numerical simulations of spatio-temporal systems (PDEs) of mechanical systems. These simulations were especially delicate, as control and observation features of these spatially-distributed systems are often highly sensitive to the discretization chosen, and so must be treated with care. Sajjad is a solid team member. His presentations are clear and well-organized. He is poised to make significant contributions in his continuing career.
Sriram Narasimhan
I served as a member/examiner on Sajjad's PhD committee and was extremely impressed with his analytical skills, approach to problem understanding and the mathematical rigour he demonstrated. Sajjad is well-rounded in his training, both in terms of the applied concepts of structural dynamics as well as in fundamental control theory. He has my unreserved support and I wish him all the best in his career.
Brian Ingalls
I served on Sajjad’s advisory committee during his time at Waterloo. He made significant contributions in his time here. This is especially impressive because his engineering background had not prepared him for the analytical work in which he engaged. He is a fast learner, and dedicated to his research. Sajjad’s project was primarily analytical, but he demonstrated those results through numerical simulations of spatio-temporal systems (PDEs) of mechanical systems. These simulations were especially delicate, as control and observation features of these spatially-distributed systems are often highly sensitive to the discretization chosen, and so must be treated with care. Sajjad is a solid team member. His presentations are clear and well-organized. He is poised to make significant contributions in his continuing career.
Sriram Narasimhan
I served as a member/examiner on Sajjad's PhD committee and was extremely impressed with his analytical skills, approach to problem understanding and the mathematical rigour he demonstrated. Sajjad is well-rounded in his training, both in terms of the applied concepts of structural dynamics as well as in fundamental control theory. He has my unreserved support and I wish him all the best in his career.
Brian Ingalls
I served on Sajjad’s advisory committee during his time at Waterloo. He made significant contributions in his time here. This is especially impressive because his engineering background had not prepared him for the analytical work in which he engaged. He is a fast learner, and dedicated to his research. Sajjad’s project was primarily analytical, but he demonstrated those results through numerical simulations of spatio-temporal systems (PDEs) of mechanical systems. These simulations were especially delicate, as control and observation features of these spatially-distributed systems are often highly sensitive to the discretization chosen, and so must be treated with care. Sajjad is a solid team member. His presentations are clear and well-organized. He is poised to make significant contributions in his continuing career.
Sriram Narasimhan
I served as a member/examiner on Sajjad's PhD committee and was extremely impressed with his analytical skills, approach to problem understanding and the mathematical rigour he demonstrated. Sajjad is well-rounded in his training, both in terms of the applied concepts of structural dynamics as well as in fundamental control theory. He has my unreserved support and I wish him all the best in his career.
Brian Ingalls
I served on Sajjad’s advisory committee during his time at Waterloo. He made significant contributions in his time here. This is especially impressive because his engineering background had not prepared him for the analytical work in which he engaged. He is a fast learner, and dedicated to his research. Sajjad’s project was primarily analytical, but he demonstrated those results through numerical simulations of spatio-temporal systems (PDEs) of mechanical systems. These simulations were especially delicate, as control and observation features of these spatially-distributed systems are often highly sensitive to the discretization chosen, and so must be treated with care. Sajjad is a solid team member. His presentations are clear and well-organized. He is poised to make significant contributions in his continuing career.
Credentials
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Hadoop, Pig, Hive
LinkedInMay, 2021- Sep, 2024 -
Advanced Java Programming
LinkedInApr, 2021- Sep, 2024 -
Advanced SQL for Query Tuning and Performance Optimization
LinkedInMar, 2021- Sep, 2024 -
Financial Modeling and Forecasting Financial Statements
LinkedInMar, 2021- Sep, 2024 -
R Programming Language
LinkedInMar, 2021- Sep, 2024 -
Tableau 2020.1 Training
LinkedInMar, 2021- Sep, 2024 -
German as Foreign Language: Level A2
SprachUnionFeb, 2021- Sep, 2024 -
Spark for Machine Learning & AI
LinkedInJan, 2021- Sep, 2024 -
Google Cloud Platform for Machine Learning Essential Training
LinkedInDec, 2020- Sep, 2024 -
NLP with Python for Machine Learning Essential Training
LinkedInOct, 2020- Sep, 2024 -
OpenCV for Python Developers
LinkedInOct, 2020- Sep, 2024 -
Python for Data Science Essential Training Part 1
LinkedInOct, 2020- Sep, 2024 -
Python for Data Science Essential Training Part 2
LinkedInOct, 2020- Sep, 2024 -
German as Foreign Language: Level A1
SprachUnionSep, 2020- Sep, 2024 -
Advanced Python
LinkedInJul, 2020- Sep, 2024 -
Building and Deploying Deep Learning Applications with TensorFlow
LinkedInJul, 2020- Sep, 2024 -
Python Essential Libraries
LinkedInJul, 2020- Sep, 2024 -
Python for Automation
LinkedInJul, 2020- Sep, 2024 -
Machine Learning
Stanford OnlineApr, 2020- Sep, 2024 -
Fundamentals of University Teaching Program
University of WaterlooAug, 2018- Sep, 2024 -
Modelling and Design of 3D Industrial Parts in CATIA
Navid Educational Group (دیباگران- نویدپارس)Aug, 2015- Sep, 2024
Experience
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Tangam Systems
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Canada
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Software Development
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1 - 100 Employee
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Software Algorithm Engineer
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Feb 2022 - Present
- Full-stack software engineer in algorithms and optimization in the research and development team - Improving our state-of-art SODA software by conducting operational research, advanced analytics and algorithm design as well as front and backend code development - Programming skills include Python, C#, Angular (TypeScript + HTML + CSS) using Visual Studio, Visual Studio Code, and Docker - Full-stack software engineer in algorithms and optimization in the research and development team - Improving our state-of-art SODA software by conducting operational research, advanced analytics and algorithm design as well as front and backend code development - Programming skills include Python, C#, Angular (TypeScript + HTML + CSS) using Visual Studio, Visual Studio Code, and Docker
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Investment Academy
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Italy
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Professional Training and Coaching
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Content Creator
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2019 - Present
- My own educational platform about investment and trading in various securities such as stocks, bonds, ETFs, etc. - My own educational platform about investment and trading in various securities such as stocks, bonds, ETFs, etc.
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Dalhousie University
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Canada
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Higher Education
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700 & Above Employee
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Mitacs Postdoctoral Fellow
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Dec 2021 - Apr 2022
- Working in collaboration with Marine Thinking Inc. to develop advanced machine learning algorithms for the guidance, navigation and control (GNC) of unmanned surface vehicles (USVs) - Successfully transitioned to a permanent role, continuing my research duties as a consultant - Working in collaboration with Marine Thinking Inc. to develop advanced machine learning algorithms for the guidance, navigation and control (GNC) of unmanned surface vehicles (USVs) - Successfully transitioned to a permanent role, continuing my research duties as a consultant
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Technische Universität Chemnitz
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Germany
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Education Management
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700 & Above Employee
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Wissenschaftlicher Mitarbeiter (Scientific Staff)
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Jan 2020 - Dec 2021
- Applied deep learning solutions to optimal predictor design for data-driven systems - Built and trained Tensorflow models to forecast a distributed-parameter time series given sensor data - https://arxiv.org/abs/2105.05404 - https://github.com/TUCMath/optimal-predictor - Applied deep learning solutions to optimal predictor design for data-driven systems - Built and trained Tensorflow models to forecast a distributed-parameter time series given sensor data - https://arxiv.org/abs/2105.05404 - https://github.com/TUCMath/optimal-predictor
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University of Waterloo
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Canada
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Higher Education
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700 & Above Employee
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Research Associate
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Sep 2019 - Jan 2020
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Sessional Lecturer
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May 2019 - Aug 2019
- Delivered lecture and coordinated Math 127: Calculus 1 for the Sciences class
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Université de Bordeaux
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France
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Education Administration Programs
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700 & Above Employee
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Mitacs Globalink Research Intern
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Jan 2019 - Apr 2019
- Received Mitacs Globalink Research Award to receive training in designing optimal models at the University of Bordeaux in France - Received Mitacs Globalink Research Award to receive training in designing optimal models at the University of Bordeaux in France
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Doctoral Researcher in Optimization and Modelling
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Sep 2015 - Dec 2018
- Designed an optimal controller and actuator for nonlinear models using functional analysis and PDE-constrained optimization techniques - Executed parallel-processing Python codes on SHARCTNET supercomputers to find optimizers and demonstrated the reduction in cost by %90 and the improvement in performance - Traveled the world to present my research and build a global network that led to investigating Optimal Actuator Shape Design- Published in SICON, IEEE-TAC, SCL, MTNS, IFAC
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Teaching Assistant
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Sep 2015 - Apr 2018
- Ran tutorials to strengthen students ability to solve problems, assisted in marking exams and provided proctoring service
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Control Lab Technician
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Jan 2016 - Dec 2017
- Carried out experiments to demonstrate applications of Control Theory to students, reviewed and marked lab reports, performed inspections and maintenance
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Sharif University of Technology
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Iran
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Higher Education
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700 & Above Employee
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Graduate Student Researcher in Control and Robotics
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Sep 2012 - Jan 2015
- Applied boundary control and semigroup techniques to design a boundary observer that estimates the state of micro-beams to be later used in optimal control schemes - Created symbolic computation library for our lab to discretize nonlinear partial differential equations and generate MATLAB functions - Performed large scale numerical computation in MATLAB and created a handbook for AFM (atomic force microscopes) manufacturers - Drafted a neural-network approach with real-time controller for trajectory planning of flexible manipulators - Complied and executed C++ codes to find optimal trajectories and reported the over-shoot performance - Provided assistance to researchers in space industry to resolve vibrations of space manipulators - Published in IEEE-TAC, AMM, ICROM Show less
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Education
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2015 - 2019
University of Waterloo
Doctor of Philosophy - PhD, Applied Mathematics -
2012 - 2015
Sharif University of Technology
Master of Science - MS, Robotics and Automation -
2008 - 2012
Shiraz University
Bachelor of Science - BS, Mechanical Engineering
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