Romisaa Ali Mouhamed Ali

Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 37th cycle (2021-2024)
Department of Control and Computer Engineering (DAUIN)

Profile

PhD

Research topic

GNC optimization for Service Robotics.

Tutors

Research presentation

Poster

Research interests

Controls and system engineering

Biography

Romisaa Ali Mouhamed Ali is a PhD candidate at Politecnico di Torino specializing in guidance, navigation, and control of robotic systems, particularly in developing adaptable and robust navigation solutions using deep reinforcement learning. Holding a Master’s degree in Electronics Engineering (Communication) from the Sudan University of Science and Technology, Romisaa brings extensive experience in both control and communication systems through her role at Sudan's National Centre for Research (NCR), specifically within the Institute of Space Research and Aerospace (ISRA). During her tenure, she contributed to projects involving drones, satellites, satellite ground station operations, and high-altitude balloons. Her work focused on developing and optimizing control systems and enhancing system performance for aerospace applications.
Her research focuses on enhancing the Twin Delayed Deep Deterministic Policy Gradient (TD3) model to improve robotic adaptability and navigation efficiency in unseen environments through randomized start and goal point mechanisms. She has presented at international conferences and has worked on diverse projects, including advanced navigation for Jackal robots within ROS frameworks and various aerospace initiatives. Romisaa remains dedicated to advancing the capabilities of intelligent robotic systems.

Awards and Honors

  • This certificate above verifies that Romisaa Ali successfully completed the course Reinforcement Learning beginner to master - AI in Python on 09/20/2022 as taught by Escape Velocity Labs on Udemy. (2022)
  • CERTIFICATE OF ATTENDANCE AND PRESENTATION: Conference: Robot Motion Control and Automation, January 2023 in Rome. (2023)
  • This certificate above verifies that Romisaa Ali successfully completed the course Advanced Reinforcement Learning: policy gradient methods on 08/28/2022 as taught by Escape Velocity Labs on Udemy. (2022)
  • Completed by ROMISAA ALI MOUHAMED ALI August 10, 2022 4-6 hours/week Grade Achieved: 97.72% ROMISAA ALI MOUHAMED ALI's account is verified. Coursera certifies their successful completion of Fundamentals of Reinforcement Learning (2022)
  • ACCEPTANCE AND INVITATION LETTER FOR CONFERENCE PARTICIPATION (2022)
  • Completed by ROMISAA ALI MOUHAMED ALI August 8, 2022 2-4 hours/week Grade Achieved: 93.30% ROMISAA ALI MOUHAMED ALI's account is verified. Coursera certifies their successful completion of Programming for Everybody (Getting Started with Python) (2022)
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Publications

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