Hi there, I'm

Marwan Abdelatti

Passionate about exploring the synergy between artificial intelligence, robotics, and parallel programming to shape the future of technology.

About me

Computer Science postdoctoral researcher at URI, AI Lab, advised by Abdeltawab Hendawi.
I am on the job market for tenure-track Professor positions.
My research is at the intersection of Artificial Intelligence, Robotics & Parallel Computing.
Current focus on AI for smart robots, Big Data and Path Planning.
For my thesis, I built a lab scale smart manufacturing system with robot operating system (ROS) infrastructure and route optimization on GPUs.

  • Current Work: Adjunct Professor of Computer Science, Providence College
  • Postdoctoral Researcher, University of Rhode Island
  • Education: PhD Industrial Engineering, University of Rhode Island
  • Graduation Date: December, 2022
  • Location: Kingston, RI, USA
  • Contact: mabdelrazik@uri.edu
Download Resume

Work Experience

  • Academia

  • Adjunct Professor of Mathematics & Computer Science

    Providence College, Providence, RI, USA Sep 2023 to date

    Lead instructor for CSC 104: Software Development, a rigorous 4-credit undergrad course guiding students in C++ fundamentals through advanced OOP & smart pointers. Developed the entire curriculum, utilizing modern interactive textbooks to enhance student engagement.

  • Postdoctoral Researcher in Computer Science.

    University of Rhode Island, RI, USA. May 2024 to date.

    Mentor for multiple research projects including the utilization of Unitree Go and YOLO for enhanced accessibility, sensor fusion for real-time sidewalk accessibility assessment, and developing multi-threaded driver for UR5e robot manipulator. Co-PI of multiple proposals under review, Active program committee member at The 8th IEEE International Workshop on Big Spatial Data (BSD 2024)

  • Postdoctoral Researcher in Industrial Engineering.

    University of Rhode Island, RI, USA. Jan. 2023 to May 2024.

    Mentor for Undergrad, Master, and Ph.D. students, Co-PI NIUVT Next-Gen Naval Manufacturing Grant, Active reviewer at the International Journal of Production Research, Taylor & Francis, IEEE Control Systems Society Conference, Science China Information Sciences

  • Degree Program Reviewer

    University of Rhode Island, RI, USA. Summer 2024

    Developed the Industry 4.0 Graduate Certificate Program (ISE 571, 572, 573, 575) at the University of Rhode Island – Currently program reviewer.

  • Lead Instructor

    University of Rhode Island, RI, USA. Summer 2023

    Developed the course content and exams for ISE 311/MCE 411: Probability and Statistics for Engineers (Undergrad level)

  • Graduate Research and Teaching Assistant

    University of Rhode Island, RI, USA. 2017 - 2022

    I tackled complex optimization problems by improving a Genetic Algorithm for vehicle routing by 1,700x using GPUs, reducing execution time from years to few hours. Statistical analysis further enhanced solution quality by 150% and allowed for problems 20 times larger. I utilized Reinforcement Learning for novel algorithm optimization. I contributed to open-source development by creating a lab-scale Industry 4.0 testbed using ROS and MQTT. My passion for education led me to serve as a lab instructor for senior design courses (ISE 401 & 402) for 6 semesters, delivering lectures on embedded systems and guiding over 100 students through 25 graduation projects. Additionally, I collaborated with NVIDIA to conduct deep learning workshops.

  • Research Associate - AI Lab

    University of Rhode Island, RI, USA. 2017 - 2019

    I led the university team at the Robot Block Party exhibit in 2018 at Brown University, showcasing robotics to the community. I involved a speech recognition and synthesis system for a robot arm that could draw geometric shapes based on voice commands, utilizing deep learning . I designed autonomous robots using ROS and created a unique ribbon-cutting robot arm for the AI lab's opening ceremony.

  • Industry

  • Automation Commissioning Engineer

    National Grid, Riyadh, KSA. 2014 - 2017

    I ensured the functionality, safety, and efficiency of automated systems by overseeing installation, testing, and startup. This included leading the energization of 4 high-voltage substations. Additionally, I reviewed SCADA point lists for over 100 substations, ensuring accurate data collection and system monitoring. I actively participated in shaping the national grid automation standard, contributing to a more robust and reliable power infrastructure.

  • Senior Automation Engineer

    Protection and Control Group, Cairo, Egypt 2011 - 2014

    Led the design and implementation of automated control systems for diverse industries, including oil and gas, power distribution, and even subway systems.

  • Automation Systems Engineer

    National Grid, Minya, Egypt August 2005 - 2011

    Installed and maintained power distribution automation systems for over 35 medium-voltage substations.

Publications (Chapters, Papers, Posters & Codes)

Efficient Implementation of a Genetic Algorithm for the Capacitated Vehicle Routing Problem on a High-Performance FPGA

  Maximilian Jakob Heer, Jose Quevedo, Marwan Abdelatti, Resit Sendag, Manbir Sodhi
  2023 IEEE 31st Annual International Symposium on Field-Programmable Custom Computing Machines(FCCM 2023)

Lab-scale smart factory implementation using ROS

 Marwan Abdelatti* & Manbir Sodhi
  Robot Operating System (ROS) The Complete Reference (Volume 7) (Chapter 2)

A multi-gpu parallel genetic algorithm for large-scale vehicle routing problems

 Marwan Abdelatti*, Manbir Sodhi, Resit Sendag
  2022 IEEE High Performance Extreme Computing Conference (HPEC 2022)

Selecting between evolutionary and classical algorithms for the CVRP using machine learning: optimization of vehicle routing problems

  Justin Fellers, Jose Quevedo, Marwan Abdelatti, Meghan Steinhaus, Manbir Sodhi
  Proceedings of the 2021 Genetic and Evolutionary Computation Conference (GECCO) ACM 2021

Using reinforcement learning for tuning genetic algorithms

  Jose Quevedo, Marwan Abdelatti*, Farhad Imani, Manbir Sodhi
  Proceedings of the 2021 Genetic and Evolutionary Computation Conference (GECCO) (ACM 2021)

An Improved GPU-Accelerated Heuristic Technique Applied to The Capacitated Vehicle Routing Problem

 Marwan Abdelatti* & Manbir Sodhi
  Proceedings of the 2020 Genetic and Evolutionary Computation Conference (GECCO) (ACM 2020)

Cooperative deterministic learning control for a group of homogeneous nonlinear uncertain robot manipulators

 Marwan Abdelatti*, Chengzhi YUAN, Wei ZENG & Cong WANG
  Science China Information Sciences (Springer 2018)

Cooperative Deterministic Learning Control of Multi-Robot Manipulators

  Chengzhi Yuan, Marwan Abdelatti*, Xiaonan Dong, Wei Zeng, Paolo Stegagno & Chang Duan
  2018 37th Chinese Control Conference (CCC) (IEEE 2018)

Ph.D. Thesis

Here you find my thesis, Empowering Industrial IoT Systems with GPU-Powered Optimization Algorithms and Cybersecurity Tools, along with all resources and source codes.

My Hobbies

Soccer
Cooking
Home Maintenance