Curriculum Vitae
Alireza HassanNejad
Energy Data Scientist
Professional Summary
Data- and modeling-focused Engineer applying statistics, probability, data mining, state estimation, and predictive analytics to problems with incomplete and uncertain information. Background spans load forecasting, customer classification, EV adoption analysis, and decision modeling across engineering domains.
Core Competencies
AI / Research
Problem Solving & Modeling
Engineering Domains
Professional Experience
Niroo Research Institute
2018 – 2022 · Tehran, Iran
Full-Stack Developer / Software Engineer
- Applied statistics, probability, machine learning, data mining, state estimation, optimization, algorithms, and data structures to engineering problems involving incomplete and uncertain information.
- Developed analytical methods for customer classification and electric-vehicle adoption analysis.
- Designed and developed software for electric-vehicle charging-station placement, load forecasting, GIS analysis, and power-system research.
- Developed neural-network and machine-learning solutions for prediction and data analysis using TensorFlow and Keras.
TOBTC
Dec 2022 – Present
Full-Stack Developer
- Full-stack engineering across frontend and backend application development.
Laqira Protocol
Dec 2022 – Present · Dubai, UAE
Software Engineer — Blockchain / Web3 R&D
- Develop real-time systems using WebSockets and event-driven communication patterns.
Technical Skills
AI / ML Stack
PyTorch · TensorFlow · Keras · NumPy · Pandas · GeoPandas
Programming Languages
Python · TypeScript · JavaScript · C · C++ · Go · Rust · Zig · SQL
Desktop / Scientific / GIS
C++ · Qt · PyQt · Tkinter · Kivy · Scientific Desktop Applications · GIS Data Processing · Graph-Based GIS Algorithms · Engineering Simulation Software
Research & Technical Expertise
Artificial Intelligence & Machine Learning
Machine Learning · Deep Learning · Reinforcement Learning · Neural Networks · Classification · Regression · Clustering · Data Mining · Predictive Modeling · Forecasting · Computer Vision · Pattern Recognition · Feature Analysis
Technologies and ecosystems include PyTorch, TensorFlow, Keras, NumPy, Pandas, and GeoPandas.
Power Systems & Electrical Engineering
Distribution Systems · State Estimation · Measurement Device Allocation · Reactive Power Markets · Market Optimization · Load Forecasting · EV Charging Infrastructure · GIS-Based Power-System Analysis · Statistical Modeling
Mathematical Modeling & Probabilistic Reasoning
Mathematical Modeling · Probability · Statistics · Statistical Inference · Uncertainty Modeling · Decision Analysis · Data Analysis · Numerical Methods · Computational Mathematics
Education
University of Mazandaran (UMZ)
2026 – Present
PhD — Electrical Engineering, Electronics
Research interests at the intersection of electronics, computation, artificial intelligence, mathematical methods, algorithms, and engineering systems.
University of Science and Technology of Mazandaran (USTM)
2016 – 2018
M.Sc. — Electrical Engineering, Power Systems
Mazandaran University of Science and Technology (USTMB)
2012 – 2016
B.Sc. — Electrical Engineering, Power Engineering
Publications
- Hassannejad, A.; Sahraie, E.; Zakariazadeh, A.; Gholami, M. Prediction Of Market Power Competitive Levels Variation And Players Collusion Form By Decision Tree. 33rd International Power System Conference (PSC), Tehran, Iran, 2018.
- Sahraie, E.; Hassannejad Marzouni, A.; Zakariazadeh, A.; Gholami, M. Reactive power market clearing mechanism considering new clearing constraints: a separate clearing approach. Electrical Engineering, 102, 1667–1679, 2020.
- Hassannejad Marzouni, A.; Zakariazadeh, A. Error Modeling in Distribution Network State Estimation Using RBF-Based Artificial Neural Network. Iranian Journal of Electrical and Electronic Engineering, 16(3), 292–301, 2020.
- Sahraie, Elahe; Hasannezhad Marzoni, Alireza; Zakariazadeh, Alireza; Gholami, Mostafa. Separate Reactive Power Market Clearing Algorithm Based on Quality Index of Clearing Market. Iranian Electric Industry Journal of Quality and Productivity, 8(1), 1–12, 2019.
- Sahraie, E.; Hassannejad, A.; Zakariazadeh, A.; Gholami, M. New Reactive Power Market Clearing Scheme With Controlling The Market Competitive Level. 33rd International Power System Conference (PSC), Tehran, Iran, 2018.
- Hassannejad Marzouni, Alireza; Zakariazadeh, Alireza; Siano, Pierluigi. Measurement devices allocation in the distribution system using state estimation: a multi-objective approach. International Transactions on Electrical Energy Systems, 30(8), e12469, 2020.
- Hassannejad Marzouni, Alireza; Zakariazadeh, A. Multi-objective Measurement Devices Allocation Using State Estimation in the Distribution System. Journal of Iranian Association of Electrical and Electronics Engineers, 16(1), 103–117, 2019.
Certifications
- Front End Development Libraries
- Back End Development and APIs
- Scientific Computing with Python
- Data Visualization
- JavaScript Algorithms and Data Structures
Languages
- Persian: Native
- English: Working Proficiency
Based on the full CV of Alireza HassanNejad. Role-specific pages change emphasis only — not employers, tools, or outcomes.