I am Michael Olaitan Ibitoye
masters in EPiCo+
Electric Vehicle Propulsion & Control
Control, estimation, embedded systems, IoT and applied AI — from inverter-fed machines and digital twins to autonomous perception and connected hardware.
Selected Work
Control, embedded, IoT and applied-AI systems spanning electric drives, battery diagnostics, autonomous perception, industrial sensing and connected hardware.
Control × AI
A CNN rotor-angle estimator benchmarked against an Extended Kalman Filter for inverter-fed PMSM operation, with emphasis on the low-speed observability problem.
Estimation × EV Systems
A 4S1P lithium-ion digital twin that estimates state of charge and internal resistance while separating sensor faults from weak-cell behavior.
AI × Autonomous Systems
A controlled CARLA benchmark comparing YOLOv8, DETR and Faster R-CNN for pedestrian perception and downstream braking behavior across five weather conditions.
Embedded × IoT
A physical ESP32-based generator controller combining sensors, relays, remote scheduling, live fuel monitoring, a safety shutdown mechanism and a web application.
Embedded × Sustainable Systems
A solar-powered two-bin embedded system for rural waste collection, using proximity and fill-level sensing, servo actuation and GSM notifications without requiring internet connectivity.
AI × Embedded
A reusable signal-processing and machine-learning pipeline for early detection of stones entering a harvester header using acoustic and machine-context signals.
Technical Skills
Control and estimation, embedded computing, IoT, machine learning, software engineering, simulation and hardware prototyping.
Experience
Roles across applied AI, embedded systems, robotics and technical education.
AI/ML Instructor
BrightNext Academy
Remote · Delaware, USA · Part-time
Designed and delivered hands-on training in machine learning, deep learning, reinforcement learning and AI agents, translating technical concepts into practical Python implementations and guiding learners through model development and debugging.
Aug 2024 — Feb 2025
Graduate Intern
National Information Technology Development Agency (NITDA)
Placement: National Centre for Artificial Intelligence and Robotics (NCAIR) · Abuja, Nigeria · Full-time
Built embedded and AI prototypes including an IoT safety wearable, a transfer-learning CNN for brain-tumour classification, PCB layouts and 3D-printed enclosures, working across software, electronics and physical integration.
Dec 2023 — Jun 2024
Undergraduate Intern
Artificial Intelligence for Clean Energy (AI4CE) Nigeria Ltd.
Minna, Nigeria · Full-time
Contributed to an autonomous oil-pipeline inspection robot through image-data preparation, MobileNetV2 deployment on Raspberry Pi, ultrasonic sensing and Python/MQTT telemetry for remote inspection monitoring.
Jun 2021 — Nov 2021
Education
Engineering education across electrical systems, control, embedded computing and electric-vehicle technologies.
École Centrale de Nantes
MSc Automatic, Control & Robotics — Electric Vehicle Propulsion and Control
Nantes, France
University POLITEHNICA of Bucharest
Master's in Electric Vehicle Propulsion and Control Systems
Bucharest, Romania
University of L'Aquila
Master's in Control Systems & Automation Engineering
L'Aquila, Italy
Control systems, electric drives, embedded systems, power electronics, estimation and machine learning for autonomous systems.
Federal University of Technology, Minna (FUTMinna)
Minna, Nigeria
Electrical and electronics engineering with project work spanning embedded systems, IoT, control, software and intelligent systems.
Research
Peer-reviewed work in embedded systems, IoT, sustainable engineering and machine-learning applications.
Embedded Systems · IoT · 2024
2024 IEEE NIGERCON
Embedded Systems · Sustainability · 2024
2024 IEEE NIGERCON
Machine Learning · Review · 2024
International Journal of Scientific Research in Modern Science and Technology
About
I am an Electrical and Electronics Engineer and Erasmus Mundus scholar working across control systems, embedded computing, IoT and applied machine learning.
My technical interests include electric drives, state estimation, battery diagnostics, autonomous perception, embedded sensing and edge-oriented machine learning.
I enjoy engineering problems that require software, electronics and physical-system understanding to work together as one complete system.
