I am a Postdoctoral Researcher at BCAM - Basque Center for Applied Mathematics. In 2016, I was awarded the La Caixa Fellowship Grant for my doctoral studies and in 2021 I obtained my Ph.D. degree with “Sobresaliente Cum Laude” distinction award from the University of the Basque Country UPV/EHU.

My research interests are Machine Learning and Evolutionary Computations. I have been involved in many projects, belonging to different industrial sectors such as Aerospace Engineering and Maritime Industry. My activities mainly involve trajectory optimization, evolutionary computations, dynamics and control, numerical simulation, meta-heuristics, and software development for engineering simulation.

Astrodynamics:

  • Satellite Dynamics and Control
  • Spacecraft Trajectory Optimization
  • Celestial Mechanics
  • Application of Artificial Intelligence in Space Trajectory Design and Optimization
  • Space Rendezvous
  • Meta-heuristic and Evolutionary Computations
  • Engineering Application of Machine Learning Techniques

Maritime Industry:

  • Optimization of Bunkering Operations
  • Trajectory Detection of Marine Vessels
  • AIS Data Analysis
  • Estimation of Time of Arrival
  • Diagnosis of Port Activities
  • In-depth Analysis of Bunkering Operations Efficiency

N-Bunker Project

This project is dedicated to the optimization of bunkering operations in ports in collaboration with Navozyme. The objective is to suggest an optimized estimated time of arrival (ETA) for incoming vessels, which are on their way to reach the port for refueling. The main goal is to develop an efficient framework for analyzing and optimizing the bunkering operations in such a way that the waiting time and the idle time of the vessels at arrival and departure become minimum (Learn More). The main steps in this project can ne summarized as:

  • AIS Data Preparation and Preprocessing
  • Analysis of the Bunkering Operations
  • Development of the Predictive Model
  • Estimation of Time of Arrival
  • Development of the Optimization Algorithm
  • Implementation and Test
Multi-impulse_AbolfazlShirazi
Monday, 06 Jun 2022

Multi-impulse Long-Range Space Rendezvous via Evolutionary Discretized Lambert Approach

Transfering satellites between space orbits is a challenging task. Due to the complexity of the space systems, finding optimal transfer trajectories requires efficient approaches. This video shows the simulation of the satellite motion in a space mission, where a new evolutionary algorithm is developed and utilized for the orbit transfer. The satellite performs multiple transfers between intermediate orbits until it reaches the desired destination. Novel heuristic mechanisms are used in the development of the optimization algorithm for spacecraft trajectory design. Simulation results indicate the effectiveness of the algorithm in finding optimal transfer trajectories for the satellite.
Author Abolfazl Shirazi

Journal Reviewer:

  • Advances in Space Research (Elsevier)
  • Automatica (Elsevier)
  • Engineering Optimization (Taylor & Francis)
  • Frontiers of Information Technology & Electronic Engineering (Springer)
  • IEEE Transactions on Aerospace and Electronic Systems (IEEE)
  • IEEE Transactions on Industrial Informatics (IEEE)
  • IEEE Transactions on Signal Processing (IEEE)
  • IEEE Transactions on Systems, Man and Cybernetics: Systems (IEEE)
  • ISA Transactions (Elsevier)
  • Journal of Aerospace Engineering (ASCE)
  • Journal of Guidance, Control and Dynamics (AIAA)
  • Journal of Spacecraft and Rockets (AIAA)
  • Journal of Optimization Theory and Applications (Springer)
  • Measurement and Control (SAGE Publishing)
  • Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering (SAGE Publishing)
  • Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science (SAGE Publishing)
  • Transactions of the Institute of Measurement and Control (SAGE Publishing)