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Irfan Ahmad
Also published under:
Affiliation
SDAIA-KFUPM Joint Research Center for Artificial Intelligence, KFUPM, Dhahran, Saudi Arabia
Topic
Arabic Text,Classification Task,Convolutional Neural Network,Performance Metrics,Support Vector Machine,Term Frequency-inverse Document Frequency,Training Dataset,Training Set,Word Embedding,Accuracy Drop,Accuracy Of Network,Active Layer,Arabic Text Classification,Arabic Tweets,Average Training Time,Batch Normalization Layer,Class Imbalance,Classification Of Samples,Classification Performance,Conditional Generative Adversarial Network,Continuous Bag-of-words,Conventional Classification,Convolutional Layers,Data Augmentation,Decision Boundary,Deep Learning Models,Deep Neural Network,Degree Of Overlap,Dense Layer,Depressive Symptoms,Detection Of Depression,Dynamic Fixed-point,Dynamic Representation,Early Detection Of Depression,Embedding Techniques,Energy Loss,Expensive Operations,F1 Score,False Negative,Fixed-point Representation,Floating-point Operations,Floating-point Values,Fully-connected Layer,Hardware Accelerators,ImageNet,Imbalanced Data,Imbalanced Datasets,Industrial Internet Of Things,Learning Algorithms,Linear Boundary,
Biography
Irfan Ahmad received the Ph.D. degree in computer science from TU Dortmund, Germany, in 2017. He is currently an Assistant Professor with the Department of Information and Computer Science, KFUPM, Saudi Arabia. He has published several articles in high-quality journals and international conferences. He has also coauthored two book chapters and holds three U.S. patents. His research interests include pattern recognition and machine learning. He regularly reviews articles for well-known journals and conferences in his area of research in addition to being a program committee member for some of the reputed international conferences.