Parham Mohammadi

I am an associate researcher at Huawei with a PhD in electrical engineering and computer science from York University, specializing in applying artificial intelligence (AI) and machine learning operations (MLOps) to modernize energy systems. At Huawei, my primary focus is implementing and optimizing MLOps practices for energy efficiency and sustainability solutions. My responsibilities include
designing and maintaining CI/CD pipelines for ML models,
automating model deployment processes and
ensuring seamless integration of AI solutions into existing energy management systems.
My leadership is evident in the development of scalable infrastructure for data processing and model training. I utilize technologies such as Docker and Kubernetes for containerization and orchestration, ensuring efficient and effective operations.

In addition to my MLOps work, I contribute to developing advanced predictive analytics algorithms and integrating quantum computing techniques for energy optimization. My expertise spans various programming languages and technologies, including Python, Julia, TensorFlow, and cloud platforms. I leverage this technical knowledge to implement robust monitoring and logging systems for ML models in production, ensuring their reliability and performance in real-world energy applications. Previously, I served as a Teaching Assistant at York University, where I shared my expertise in algorithm design and analysis with undergraduate students, further honing my skills in explaining complex technical concepts.

• Carswell Scholarship - York University:

The Carswell Scholarships will be awarded to incoming doctoral students in the Lassonde School of Engineering, who demonstrate outstanding academic achievement. The value of the scholarship is 10000 CAD.

• Lab2Market Research Award ( Mitacs / Lab2Market Program ) :

Lab2Market Program, which will provide training and support to teams looking to commercialize research emerging from Canadian universities. The Value of the award is 15000 CAD

• LG Global Challenger Award :

Winner of scholarship for an expedition trip to Japan for visiting japan's floating PV power plants. (12000 $) for whole team

• York University Graduate Fellowship Doctoral Scholarship
• Best Presentation Award, APEC 2021

• Bitcoin and Cryptocurrencies ( edX)
• Cryptography I ( Coursera)
• Complete C# Masterclass ( Udemy)
• Complete linear algebra: theory and implementation in code(Udemy)
• Computers, Waves, Simulations: A Practical Introduction to Numerical Methods
  using Python(Coursera)
• Introduction to virtual machines in Microsoft Azure(Coursera)
• APEC 2021 Best Presentation Award Certificate
• Exploratory Data Analysis With Python and Pandas(Coursera)
• Introduction to Data Science in Python(Coursera)
• Introduction to TensorFlow(Coursera)
• Launching into Machine Learning(Coursera)
• Project-based Python Workshop Series, Winter 2021(IEEE)
• How Google does Machine Learning(Coursera)
• Python Classes and Inheritance(Coursera)
• Python Functions, Files, and Dictionaries(Coursera)
• Neural Networks and Deep Learning(Coursera)
• Machine Learning(Coursera)
• Python Basics(Coursera)

1. Koohi, P., Mohammadi, P., Samanbakhah, R., & Ibanez, F. M. (2021). "GMDH Neural Networks-Based modeling of variable power inductor." Preprints.
  
2. Mohammadi, P., & Lam, J. (2021). "A New Fully Soft-Switched, Single-Stage Bidirectional LLC Resonant Based AC/DC Converter for Hybrid Micro-grid with Active Ripple Energy Storage." 2021 IEEE Energy Conversion Congress and Exposition (ECCE), 632-638.
  
3. Mohammadi, P., & Lam, J. (2021). "A New Fully Soft-Switched, Single-Stage LLC Resonant Based Grid Connected Inverter." 2021 IEEE Applied Power Electronics Conference and Exposition (APEC), 1438-1443.
  
4. Hernandez, F. D., Samanbakhsh, R., Mohammadi, P., & Ibanez, F. M. (2021). "A dual-input high-gain bidirectional DC/DC converter for hybrid energy storage systems in DC grid applications." IEEE Access 9, 164006-164016.
  
5. Mohammadi, P., Samanbakhsh, R., Koohi, P., & Ibanez, F. (2019). "High frequency transformer design for specific static magnetising and leakage inductances using combination of multi-layer perceptron neural networks and fem simulations." 2019 IEEE 10th International Symposium on Power Electronics for Distributed…
  
6. Mohammadi, P., Samanbakhsh, R., Hernandez, F. D., Koohi, P., & Ibanez, F. (2019). "A novel non-coupled non-isolated double-input bidirectional high-gain converter for hybrid energy storage system." 2019 IEEE 10th International Symposium on Power Electronics for Distributed…
  
7. Xiao, P., Fu, L., Wang, J., Cui, G., Wang, L., Mohammadi, P., Samanbakhsh, R., … (2019). "PEDG 2019-2019 IEEE 10TH INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS FOR DISTRIBUTED GENERATION SYSTEMS." 2019.
  
8. Mohammadi, P., Eskandari, A., Milimonfared, J., & Moghani, J. S. (2018). "LVRT capability enhancement of single-phase grid connected PV array with coupled supercapacitor." Power Electronics, Drives Systems and Technologies Conference (PEDSTC), 15.
  
9. Mohammadi, P., Azimian, B., & Shahirinia, A. (2018). "A Novel Double-Loop Control Structure Based on Fuzzy-PI and Fuzzy-PR Strategies for Single-Phase Inverter in Photovoltaic Application." 2018 North American Power Symposium (NAPS), 1-6.
  
10. Mohammadi, P., & Moghani, J. S. (2018). "Double-input high-gain bidirectional DC-DC converter for hybrid energy storage systems in DC-micro grid." Power Electronics, Drives Systems and Technologies Conference (PEDSTC), 9.
  
11. Mohammadi, P., Moghani, J. S., & Gharehpetian, G. B. (2018). "A Novel DC-DC Single-inductor Double-Input Bidirectional Converter for Hybrid Energy Storage System in DC-Micro Grid." 2018 Smart Grid Conference (SGC), 1

-6.
  
12. Seyedi, M. H., Mohammadi, P., & Khosravi, M. (2015). "Analysis of Six-phase Induction Machine Compensation Methods under Fault Conditions Due to Open Phases." International Conference on Electrical Engineering and Computer Science …