Abdelsalam.ai

About

Abdelsalam Ali Abdelsalam Mohamed

AI & Robotics Engineer with 8+ years in industrial robotics, automation and control, now completing an M.Sc. in Robotics and Automation with a research focus on adaptive brain-computer interfaces.

I'm an AI & Robotics Engineer with 8+ years delivering industrial robotics, automation and control systems — including commissioning automation, robotic inspection and instrumentation & control systems on Egypt's 14.4 GW combined-cycle Megaproject, the largest combined-cycle programme ever built. I later worked across Egypt and the Netherlands deploying AI-driven industrial robots, collaborative robots and autonomous mobile robots for manufacturing and logistics clients, reducing operating costs by 30% and raising throughput by 25%. I'm now completing an M.Sc. in Robotics and Automation at JAMK University of Applied Sciences in Finland, specialized in artificial intelligence for robotics. My thesis engineers a hybrid adaptive Brain-Computer Interface that decodes real-time EEG with deep learning to control industrial manipulators and medical assistive devices.

Arabic · NativeEnglish · C2 — ProficientFinnish · B2 — Upper Intermediate

Professional Trajectory

Industrial Automation
Robotics
AI & Machine Learning
Autonomous Systems
Brain-Computer Interface Research
AI Agents & Intelligent Automation

What I Research

  • Adaptive, learning-driven Brain-Computer Interfaces
  • AI-driven industrial and collaborative robotics
  • Human-robot interaction and shared control
  • Autonomous mobile robots and intelligent perception

What I Build

  • Industrial automation and control (PLC, SCADA, IIoT)
  • AI-integrated robotic systems for manufacturing and logistics
  • AI agents and workflow automation
  • Adaptive, data-driven decision systems

Professional Journey

From Industrial Automation to AI Research

The path from real-world automation engineering to robotics, AI and brain-computer interface research.

2014

B.Sc. Mechanical Power Engineering

Graduated from Zagazig University, Faculty of Engineering — graduation project (jet engine design and performance simulation) awarded a grade of Excellent.

2015 – 2018

Automation & Robotics Engineering — Egypt Megaproject

Delivered automation, I&C and robotic engineering across a 14.4 GW combined-cycle power programme with Siemens Energy Solutions, Orascom Construction and El Sewedy Electric.

2018 – 2021

Automation Engineering — Mediterranean Gas Fields

Designed and maintained PLC and SCADA systems for offshore gas field processes with the Egyptian Navy, including predictive maintenance and fail-safe control.

2021 – 2023

Robotics Engineering — SMART Robotics

Led development of industrial robotic systems across Egypt and the Netherlands, integrating machine learning into robotic decision-making and commissioning autonomous mobile robot fleets.

2026

M.Sc. Robotics and Automation — JAMK University of Applied Sciences

Completing an M.Sc. in Robotics and Automation at JAMK University of Applied Sciences, Finland, specialized in artificial intelligence for robotics.

2026

Hybrid Adaptive BCI — Research / Thesis

M.Sc. thesis engineering a hybrid adaptive Brain-Computer Interface that decodes real-time EEG with deep learning to control industrial robotic manipulators and medical assistive devices.

Engineering Experience

Professional Experience

8+ years in industrial robotics, automation and control — documented achievements from the CV.

30%

Operating cost reduction

25%

Throughput increase

40%

Material handling time reduction

20%

Downtime reduction

15%

Productivity improvement

30%

Maintenance-time reduction

Robotics Engineer

SMART Robotics · Egypt & Netherlands

Aug 2021 – Jul 2023
30% cost reduction25% throughput increase40% material handling time reduction
  • Led design and development of industrial robotic systems automating material handling, packaging and quality control for manufacturing, logistics and healthcare clients across two countries.
  • Deployed robotic automation that reduced client operating costs by 30% and raised throughput by 25%; delivered an AI-driven logistics robotics project cutting material handling time by 40% while improving order accuracy.
  • Integrated machine learning models into robotic decision-making pipelines, enabling perception-driven task selection and adaptive behaviour in unstructured production environments.
  • Programmed industrial robotic arms, collaborative robots and autonomous mobile robots (AMRs), commissioning AMR fleets in warehouses across Egypt and the Netherlands.
  • Executed rigorous testing, validation and performance benchmarking of robotic cells to certify functionality, precision and safety before production handover.

Automation Engineer

Egyptian Navy — Mediterranean Gas Fields · Egypt

Nov 2018 – Jul 2021
20% downtime reduction15% productivity improvement
  • Designed, programmed and maintained PLC (Siemens, Allen-Bradley) and SCADA systems controlling offshore gas field processes in a safety-critical, regulated environment.
  • Implemented predictive maintenance using AI and IIoT sensor telemetry to anticipate equipment failure, reducing operational downtime by 20%.
  • Engineered and commissioned a fully automated control system for a high-complexity industrial process, improving productivity by 15%.
  • Designed fail-safe mechanisms and integrated real-time monitoring, certifying compliance with industry safety standards and offshore regulations; trained operations staff on new automation technology.

Automation & Robotics Engineer

Egypt Megaproject — Siemens Energy Solutions, with Orascom Construction & El Sewedy Electric · New Administrative Capital, Burullus & Beni Suef, Egypt

Aug 2015 – Oct 2018
14.4 GW programme30% maintenance-time reduction
  • Delivered automation, I&C and robotic engineering across three 4,800 MW combined-cycle power stations totalling 14.4 GW — the largest combined-cycle programme ever built, completed in a record 27.5 months.
  • Designed and deployed robotic systems for inspection, maintenance and condition monitoring of turbines, generators and auxiliary equipment, cutting maintenance time by 30%.
  • Deployed robotic inspection into hazardous high-temperature zones previously requiring human entry, materially reducing personnel exposure to unsafe environments.
  • Programmed and optimized PLC and SCADA systems for automated control of critical plant processes, integrating robotics with Siemens control architecture.
  • Executed gas turbine synchronization testing and led planning, execution and documentation of electrical and I&C scope, including vibration diagnosis and GT performance test reporting.

Education

Academic Background

M.Sc., Robotics and Automation

Expected Jul 2026

JAMK University of Applied Sciences · Jyväskylä, Finland

Coursework: AI and Machine Learning for Robotics, Robotics Design and Development, Industrial Robotics and Automation Systems, Embedded Systems and Control Engineering, Robot Perception and Vision Systems, Human-Robot Interaction. Applied robotics research conducted with industry partners in multicultural international engineering teams.

B.Sc., Mechanical Power Engineering

May 2014

Faculty of Engineering, Zagazig University · Zagazig, Egypt

Core disciplines: Thermodynamics, Fluid Mechanics, Heat Transfer, Mechanical Design, Energy Systems, Engineering Simulation and Analysis. Graduation project awarded a grade of Excellent.

Certifications

Certifications

CB3 e-Learning, Certificate of Completion

Universal Robots Academy (A Teradyne Robotics Company)

Nov 2025

QTM1x: The Quantum Internet and Quantum Computers, Verified Certificate

DelftX, Delft University of Technology (edX)

Mar 2025

Automation & Robotics Engineer, Project Certificate

Siemens Power Plant Energy Solutions, Erlangen (Egypt Megaproject)

Oct 2019

Current Work

  • Hybrid Adaptive BCI — M.Sc. thesis decoding EEG to control industrial and medical robots (JAMK, completed 2026)
  • Exploring AI agents and automation workflows as an emerging engineering direction

Where I'm Headed

Finishing the M.Sc. and building on the Hybrid Adaptive BCI thesis, while growing into AI agents, automation and data-driven systems as a complement to an established robotics and industrial automation background.

Technology Stack

Tools & Technologies

Listed as skills and areas of active interest, not claims of professional mastery.

AI & ML

  • Python
  • PyTorch
  • TensorFlow
  • Keras
  • Scikit-learn
  • NumPy
  • Pandas
  • CNN
  • LSTM / RNN
  • Transformers
  • Reinforcement Learning
  • Computer Vision
  • Object Detection

Robotics

  • ROS 2
  • Gazebo
  • Isaac Sim
  • MuJoCo
  • CoppeliaSim
  • Motion Planning
  • Navigation
  • SLAM
  • Universal Robots
  • Autonomous Mobile Robots

Industrial Automation

  • Siemens SIMATIC
  • Allen-Bradley
  • PLC
  • SCADA
  • HMI
  • Instrumentation & Control
  • Predictive Maintenance
  • IIoT
  • Machine Safety

Data

  • SQL (basic)
  • Python
  • Pandas
  • NumPy
  • APIs
  • Data Processing

AI Agents & Automation

  • n8n
  • AI Agents
  • Prompt Engineering
  • RAG
  • APIs

Engineering

  • Git
  • GitHub
  • Linux
  • Docker
  • VS Code
  • C++
  • MATLAB