Topic
- Computing and Processing
- Components, Circuits, Devices and Systems
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- Power, Energy and Industry Applications
- Signal Processing and Analysis
- Robotics and Control Systems
- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
- Bioengineering
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- Engineering Profession
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Muhammad Ahsan
Affiliation
Department of Measurements and Control Systems, Silesian University of Technology, Gliwice, Poland
Topic
Convolutional Neural Network,Convolutional Layers,Deep Convolutional Neural Network,Neural Network,Validation Accuracy,Vibration Data,Vibration Signals,Confusion Matrix,Deep Belief Network,Fault Diagnosis,Grayscale Images,Input Image,Internet Of Things,Loading Conditions,Long Short-term Memory,Long Short-term Memory Network,ReLU Activation Function,Support Vector Machine,Types Of Attacks,1D Convolutional Neural Network,2D Grayscale Images,3D Game Engine,Accuracy Of Different Models,Artificial Neural Network,Artificial Neural Network Model,Attack Detection,Augmented Reality Applications,Bearing Fault Diagnosis,Bridge Health Monitoring,Bridge Model,Bridge Span,Brute Force,Brute-force Attacks,Buffer Overflow,Buffer Overflow Vulnerabilities,Building Information Modelling,Cloud Computing,Cloud Environment,Continuous Wavelet Transform,Convolutional Neural Network Model,Corruption,Crack Width,Data Integration,Data Visualization,Decision Tree,Deep Neural Network,Denial Of Service,Dense Layer,Detection Scheme,Detection System,
Biography
Muhammad Ahsan received the bachelor’s degree in electrical engineering from Air University, Islamabad, Pakistan, in 2013, and the M.Sc. degree in control theory and control engineering from the Nanjing University of Science and Technology, Nanjing, China, in 2020.
In October 2020, he joined the Silesian University of Technology, Gliwice, Poland. Since then, he has been actively involved in cutting-edge research focused on developing innovative digital signal processing techniques, control engineering, and artificial intelligence methods. His work aims to enhance the reliability and efficiency of these systems, contributing to safer and more robust industrial operations.
In October 2020, he joined the Silesian University of Technology, Gliwice, Poland. Since then, he has been actively involved in cutting-edge research focused on developing innovative digital signal processing techniques, control engineering, and artificial intelligence methods. His work aims to enhance the reliability and efficiency of these systems, contributing to safer and more robust industrial operations.