Luttfi Ahmed Luttfi Al-Haddad
Assistant Lecturer.
He has given IELTS Preparation courses for 5 years now. With an IELTS Academic Score of 7.0 and IELTS General Training of 8.5. He then worked as an engineer in the turning workshop at the training and workshops center in the university of technology- Iraq. He now lectures in the same center as an assistant lecturer in the field of CNC machines. He has published many research articles within the field of applied artificial intelligence.07722628829
Title
Assistant Lecturer.
Education
M.Sc of Science in Applied Mechanics / Mechanical Engineering Department / University of Technology- Iraq 2021-2023.
BSc of Science in Aircrafts Engineering / Mechanical Engineering Department / University of Technology- Iraq 2014-2018.
Research Interests
Artificial Intelligence (CFD)
Machine Learning
Fault Diagnosis
Vibration Signal Analysis
Biomechanics, Biomedical Engineering
Signal Processing. Image Processing
Teaching
Aerodynamics, Aircraft Design
Aircraft Maintenance and Components
CNC Machines
Most recent publications
“An Intelligent Fault Diagnosis Approach for Multirotor UAVs Based on Deep Neural Network of Multi-Resolution Transform Features”
2023. Journal Article in Web of Science“Influence of Operationally Consumed Propellers on Multirotor UAVs Airworthiness: Finite Element and Experimental Approach”
2023. Journal Article in Web of Science
“Investigation of Frequency-Domain-Based Vibration Signal Analysis for UAV Unbalance Fault Classification”
2023. Journal Article in University of Technology Journal.“An Intelligent Quadcopter Unbalance Classification Method Based on Stochastic Gradient Descent Logistic Regression”
2022. Conference Paper in Scopus Quartile 4
“Applications of Machine Learning Techniques for Fault Diagnosis of UAVs”
2022. Conference Paper in Scopus Quartile 4.
“Improved UAV blade unbalance prediction based on machine learning and ReliefF supreme feature ranking method”
2023. Journal Article in Web of Science.
“Fault diagnosis of actuator damage in UAVs using embedded recorded data and stacked machine learning models”
2023. Journal Article in Web of Science
More than 10 from different governmental and private institutions