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 moreI am always open to discussing research collaborations, thesis opportunities, and exciting projects. Feel free to reach out!