📂 Project Portfolio

Engineering Intelligence Across Energy, Automation & AI

Short intro line:

I design control algorithms, optimization frameworks, and AI-driven tools that make complex systems predictable, efficient, and intelligent.

🔶 Project 01 — Microgrid Optimization & Intelligent Control

Microgrid Optimization & Intelligent Control

Advanced algorithms for stable, efficient, uncertainty-aware energy systems

Challenge

Distributed energy systems must operate efficiently despite volatile demand, renewable fluctuations, and dynamic constraints.

Approach

• Designed Model Predictive Control (MPC) frameworks
• Implemented grey-box models for real-world accuracy
• Developed flexibility indicators, scenario-based optimization
• Integrated multi-timescale decision layers

Result

• More stable microgrid operation
• Scalable optimization workflows
• Methods validated in peer-reviewed publications (IEEE, IFAC, IET)

Skills Tags: MPC · Optimization · Stochastic Control · Energy Systems · Python · Grey-box Models

🔶 Project 02 — Drone Automation & Control Education

Quad-Rotor Automation (ETH Zurich)

Teaching real-time control through hands-on autonomous flight

Challenge

Make abstract control theory intuitive and practical for undergraduate engineers.

Approach

• Designed lab sessions & interactive demos
• Guided students through system identification, state-space modeling, feedback control
• Debugged real-time quadrotor behavior with students

Result

A highly successful learning experience that bridges theory with practice — students see control theory come to life.

Skills Tags: Linear Control · State-Space Modeling · Teaching · MATLAB · Automation

🔶 Project 03 — Machine Learning for Energy Systems

Data-Driven Intelligence for Energy Systems

Using ML to forecast, detect, and enhance energy system performance

Challenge

Energy systems require accurate predictions and anomaly detection to support automated control.

Approach

• Deep learning for time-series forecasting
• Clustering for pattern discovery
• Hybrid ML–control pipelines
• Anomaly detection using statistical models + ML

Result

Improved predictive accuracy and more resilient control behavior under uncertainty.

Skills Tags: Deep Learning · Forecasting · Time-Series AI · Python · Hybrid Control

🔶 Project 04 — Modular Energy Hub Framework (Google Summer of Code)

Modular Energy Hub Modeling Framework

A flexible simulation environment for multi-energy systems

Challenge

Energy hubs involve electricity, heat, cooling, storage, and conversion — modeling them requires modular, extensible tools.

Approach

• Developed Python-based models with Pyomo + Oemof
• Implemented component abstraction layers
• Integrated optimization routines

Result

Framework adopted by open-source energy modeling communities; enabled transparent, scalable system simulations.

Skills Tags: Python · Pyomo · Simulation · Energy Hubs · Optimization

🔶 Project 05 — Thermodynamic Systems Engineering (Early Career)

Refrigeration, Ventilation & Energy Evaluation

Hands-on engineering foundations for real-world systems

Challenge

Evaluate energy performance of real systems—ventilation, refrigeration, and CO₂ cooling—under practical constraints.

Approach

• Modeled CO₂ ice rink system behavior
• Conducted efficiency measurements for decentralized ventilation
• Analyzed thermodynamic and control interactions

Result

A strong engineering base that later shaped advanced modeling and control work.

Skills Tags: Thermodynamics · Modeling · Field Data · Energy Engineering

🔶 Project 06 — Research Coordination & Data Stewardship

Research Operations & Data Management

Infrastructure and coordination for high-impact automation research

Challenge

Large research consortia require structured collaboration, transparent data management, and consistent quality.

Approach

• Built reproducible data systems
• Coordinated research workflows
• Managed academic–industry communication
• Organized knowledge-sharing events

Result

A well-functioning automation research ecosystem with improved collaboration and reproducibility.

Skills Tags: Data Stewardship · Project Management · Cross-Institution Collaboration