Munir Ahmad

Affiliation

Department of Computer Sciences, National College of Business Administration and Economics, Lahore, Pakistan
University College, Korea University, Seoul, Republic of Korea

Topic

Convolutional Neural Network,Deep Learning,Training Set,Transfer Learning,Detection Of Diabetic Retinopathy,Machine Learning,Support Vector Machine,Convolutional Neural Network Model,Data Augmentation,Fundus Images,Binary Classification,Decision Tree,Diabetic Retinopathy Severity,Hyperparameters,Random Forest,Transfer Learning Model,Artificial Neural Network,Augmentation Techniques,Black Box,Data Augmentation Techniques,Data Fusion,Deep Learning Models,Diabetic Retinopathy Patients,Explainable Artificial Intelligence,F1 Score,Fine-tuned Model,Fourth Step,Gaussian Filter,Highest Accuracy,Images In Set,Learning Algorithms,Machine Learning Models,Mobile Learning,Neural Network,Pre-processing Techniques,Prediction Model,Random Forest Classifier,Retinal,Service Quality,AI Models,Action Recognition,Actual Knowledge,AdaBoost Classifier,Adam Optimizer,Advanced Machine Learning Techniques,Annotation Data,Annotation Process,Anomaly Detection,Artificial Intelligence,Artificial Intelligence Models,

Biography

Munir Ahmad (Member, IEEE) received the master’s degree in computer science from the Virtual University of Pakistan, in 2018. He is currently a Ph.D. Scholar with the Computer Science Department, National College of Business Administration & Economics. He has spent several years in Industry. He is also working as the Executive Director/ the Head of the United International Group, IT Department, Lahore, Pakistan. He has vast experience in data management and efficient utilization of resources at multinational organizations. His research interests include data mining, big data, and artificial intelligence. He has conducted many research studies on sentiment analysis and utilization of AI for prediction on various healthcare issues.