Hello, I'm
Building intelligent systems at the intersection of RL, optimization, and real-world decision-making.
I am a final-semester MSc student at Politecnico di Torino specializing in Reinforcement Learning, Mathematical Optimization, and Supply Chain Management, with a BSc in Industrial Engineering from Islamic Azad University (GPA 3.69/4.0) and 5 years of professional experience as a Business Data Analyst at Parva Co.
My research designs intelligent systems for real-world decision-making, from supplier order allocation using PPO to robust sim-to-real locomotion via curriculum randomization. I have published in the Journal of Cleaner Production (IF 9.8) and have a paper under review at IEEE RA-L.
Parva Co., Tehran, Iran
Automotive Supply Chain
Politecnico di Torino
Turin, Italy
Reinforcement Learning, Mathematical Optimization, Deep Learning, IoT, Supply Chain Management. Paper under review at IEEE RA-L on curriculum randomization for sim-to-real locomotion.
Islamic Azad University, S&R Branch
Tehran, Iran
Operations research, industrial optimization, quality management. BSc thesis published in Journal of Cleaner Production (IF 9.8, 46+ citations) on blockchain-integrated sustainable supplier selection.
Core competencies across research and engineering
Research projects and open-source contributions in AI, RL, and optimization.
Two-phase framework combining Fuzzy BWM + Fuzzy TOPSIS with a custom PPO agent for supplier order allocation under stochastic demand, lead-time uncertainty, and systemic disruptions. Gymnasium-based supply chain simulator with three market scenarios (stable, volatile, disrupted).
Trained robust locomotion policies (REINFORCE, Actor-Critic, PPO) with domain randomization and curriculum learning (ES-CDR) on a custom MuJoCo Hopper with randomized friction, mass, and joint properties. Benchmarked 6 physics parameters across 3 RL algorithms.
Multi-task fusion network for 7-class weld defect classification fusing sensor (1D-CNN), audio (1D-CNN + MFCC), and video (MobileNetV3-Small) branches. 15-step pipeline with focal loss, temperature scaling, and confidence-gated reclassification. F1 = 0.957. Includes Streamlit monitoring dashboard.
Mobility-as-a-Service super-app using DQN with a Habits-Utility-Rationality behavioral model for personalized multimodal route recommendations. A second RL agent selects behavioral nudges to encourage green transport. React 18 + Three.js frontend, FastAPI + PyTorch backend, Docker deployment.
Analysis of 2.5M+ shared e-scooter trips in Turin (LIME, VOI, BIRD). STL decomposition, Kaplan-Meier survival analysis, Moran's I spatial autocorrelation, and Monte Carlo simulation (10,000 iterations). Dataset published on Kaggle with DOI.
6 Python microservices for precision agriculture: soil moisture sensing, weather API integration, weather-aware automation scheduling, and real-time Telegram monitoring. Deployed on Raspberry Pi with MQTT protocol and REST APIs.
Open-source System Dynamics Simulation Library on PyPI. Implements causal loop diagrams, stock-flow modelling, and time-series simulation with clean Python API and comprehensive documentation.
8 publications · 46+ citations Live from Scholar · Google Scholar · ResearchGate
Journal of Cleaner Production, 444, 141216
IEEE Robotics and Automation Letters (RA-L)
Target: Journal of Cleaner Production
6 additional preprints on SSRN & ResearchGate
40+ certifications across ML, Data Science, RL, and professional development.
A few things I tinker with in my free time.
Deploying ML models on Raspberry Pi and Jetson Nano for real-time inference at the edge.
Discover moreCustom Gymnasium environments for supply chain simulation and multi-agent coordination.
Discover morePhysics-based locomotion simulations in MuJoCo with domain randomization for sim-to-real transfer.
Discover moreInteractive dashboards with Plotly, Streamlit, and Power BI for supply chain KPIs.
Discover moreOpenCLD: my open-source Python library for system dynamics simulation, causal loop diagrams & stock-flow.
Discover moreWriting LaTeX papers, LinkedIn posts on IoT and AI, and documenting my research journey.
Discover moreFull CV (PDF) — preview below or download for a printable copy.
PDF includes detailed publications, education, selected projects, and contact information. For an editable version or requests, email contact.alivaezi@gmail.com.
I am always open to discussing research collaborations, thesis opportunities, and exciting projects. Feel free to reach out!