Muhammad Sohail Abbas

Also published under:Muhammad Azeem Abbas, Muhammad Abbas, M. Abbas, Muhammad Babar Abbas, Moneeb Abbas, M. Azeem Abbas

Affiliation

School of Electrical Engineering and Computer Science, National University of Sciences and Technology (NUST), Islamabad, Pakistan

Topic

Support Vector Machine,Decision Tree,Deep Learning,Machine Learning,Machine Learning Techniques,Neural Network,Chest X-ray,Convolutional Neural Network,Data Augmentation,Deep Convolutional Neural Network,F1 Score,Transfer Learning,Automatic Detection,Binary Classification,Confusion Matrix,Convolutional Layers,Customer Requirements,Deep Neural Network,Defect Prediction,Graphical Tool,Inference Rules,Internet Of Things,Java Code,Language Model,Learning Algorithms,Level Of Abstraction,Linear Kernel,Machine Learning Models,Multi-label,Polynomial Kernel,Service Quality,Software Defect,Software Defect Prediction,Software Engineering,Software Quality,Support Tool,System Software,6G Networks,Accuracy Of Model,Accuracy Of Random Forest,AlexNet,Allocation Framework,Application Interface,Application Of Machine Learning Models,Artificial Neural Network,Assessment Of Parameters,Augmentation Techniques,Automatic Classification,Automatic Coding,Automatic Generation,

Biography

Muhammad Abbas received the B.E. degree from the NED University of Engineering and Technology, and the M.S. and Ph.D. degrees from The University of Manchester, U.K. He is currently an Associate Professor with the College of Electrical and Mechanical Engineering, National University of Sciences and Technology. His research interests include the application of software engineering, software quality engineering, software project management, and ERP systems.