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- Computing and Processing
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- Engineered Materials, Dielectrics and Plasmas
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Md Abdur Rahim
Affiliation
Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Geelong, Victoria, Australia
Topic
Deep Learning,Machine Learning,Accurate Decisions,Automotive Sector,Autonomous Vehicles,Conventional Vehicles,Data Security,Health Monitoring System,Internet Of Things,Internet Of Vehicles,Path Planning,Support Vector Machine,Angle Error,Artificial Potential Field,Attribute-based Encryption,Automotive Industry,Autonomous Ground Vehicles,Bicycle Model,Big Data,Big Data Analytics,Center Of Mass,Central Entity,Characteristics Of Intelligence,Competitive Approach,Computational Resources,Confusion Matrix,Control Performance,Controller Area Network,Convolutional Neural Network,Cooperative Approach,Cooperative Strategy,Cornering Stiffness,Cybersecurity,Decision Model,Decision-making Process,Deep Learning Models,Deep Learning Techniques,Deep Reinforcement Learning,Echo State Network,Ensemble Deep Learning,Ensemble Deep Learning Model,Ensemble Method,Ensemble Model,Ensemble Technique,Friction Coefficient,Front Wheel,Gradient Boosting,Health Monitoring,Heterogeneous Network,Individual Vehicles,
Biography
Md. Abdur Rahim received the Bachelor of Science degree in mechanical engineering from the Khulna University of Engineering and Technology (KUET), Khulna, Bangladesh, in 2013. He is currently pursuing the Master of Science degree in automotive engineering with Universiti Malaysia Pahang, Malaysia. His research interests are in artificial intelligence, traditional, connected, electric, and autonomous vehicles, intelligent transportation systems, AI-based vehicles fault diagnosis, the Internet of Vehicles, intelligent robotic systems, big-data analytics, machine learning, deep learning, renewable energy, energy conservation systems, and internal combustion engine.