Lana Elkayssi

Detail-oriented Electrical Engineering graduate with high distinction, adept in control systems and power system analysis, with a strong focus on system modeling, optimization, and simulation. Proficient in state-space modeling, optimal and predictive control, power flow and contingency analysis, and applied machine learning. Known for adhering to rigorous analytical methods and optimizing theoretical concepts into reliable, well-structured engineering solutions.

Research Researcher at Qatar University (2025-12 – Present)

Automated Health Service Providers Using Multi-Agent Robotic Systems (UREP)

• Developing a research proposal on automated healthcare logistics using multi-agent robotic systems.
• Designing task decomposition, assignment, and scheduling strategies for mobile robots.
• Exploring conflict-free path planning (MAPF) and Vision–Language–Action (VLA) frameworks using ROS.

Special Needs Assistant at Qatar University (2025-09 – Present)

• Supported students with accessibility needs by clearly explaining complex technical concepts during and after lectures.
• Assisted with written documentation and exam support, ensuring accurate transcription and clear communication.

Senior Design Project at Qatar University (2025-09 – 2025-05)

Fingerprint-Based Attendance Management System

• Designed and developed a portable rechargeable biometric attendance system using ESP32, fingerprint authentication, and a touchscreen interface.
• Programmed the complete embedded system in Arduino IDE, including fingerprint verification, attendance logging, battery management, and user interface functionality.
• Integrated fingerprint sensors, TFT touchscreen display, charging circuitry, and real-time cloud synchronization for live attendance monitoring and data storage.

Project Researcher at Qatar University (2025-12 – Present)

Modeling and Control of Hybrid Electric Vehicle

• Developing derived nonlinear and linearized state-space models of a series HEV.
• Designed state-feedback control with observer and optimal control (LQR).
• Implemented constrained Model Predictive Control (MPC) in MATLAB/Simulink.

Project Researcher at Qatar University (2025-11 – Present)

Power System Simulation and Optimal Power Flow

• Developing performed contingency analysis and sensitivity-based control in PowerWorld.
• Analyzed economic dispatch and optimal power flow under network constraints.

Hardware Designer and Programmer at Qatar University (2025-10 – 2025-12)

Noncontact Tachometer

• Designed and built a non-contact tachometer to measure motor RPM.
• Integrated sensors, microcontroller programming, and OLED display output.
• Achieved 98% measurement accuracy through calibration and testing.

Machine Learning Intern at SLB (Schlumberger) (2025-07 – 2025-08)

Digital & Integration

• Built Python-based ML models to detect borehole breakouts from geological images.
• Performed image preprocessing and feature extraction for azimuth and direction estimation.

Biomedical Research Intern at Hamad Medical Corporation (2025-06 – 2025-06)

• Analyzed EEG data using Python and MATLAB with FFT-based methods.

Project Researcher at Qatar University (2024-03 – Present)

AI-enabled Low-cost Portable Platform for Diabetic Foot Ulcer Management (UREP)

• Fine-tuned and evaluated an existing machine learning model for diabetic foot ulcer classification.
• Conducted literature research and contributed to writing the research paper.

Project Developer at Qatar University (2024-10 – 2024-11)

Electromagnetic Wave Gun

• Designed a 100 MHz VCO-based electromagnetic system with 50-ohm PCB transmission lines.
• Improved signal integrity and reduced noise through circuit optimization.

Bachelor's Degree in Electrical Engineering – Qatar University (2022 – 2026)