Topic

Nazer Al Tahifah

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Affiliation

Department of Computer Engineering, College of Computing and Mathematics, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia
SDAIA-KFUPM Joint Research Center for Artificial Intelligence, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia

Topic

Anticancer Peptides,Combined Feature Set,Feature Encoder,Isoelectric Point,Mathews Correlation Coefficient,Peptide Sequences,Recurrent Neural Network,Sigmoid Activation Function,Singular Value Decomposition,Youden Index,10-fold Cross-validation,5-fold Cross-validation,Acids In Sequence,Adam Optimizer,Amino Acid Sequence,Antimicrobial Peptides,Balanced Accuracy,Benchmark Datasets,Charged Amino Acids,Classification Performance,Contemporary Methods,Cross-validation Experiments,Deep Learning,Dropout Layer,Encoding Strategies,F1 Score,Feature Extraction Approach,Feature Extraction Methods,Feature Space,Input Feature Space,Input Gate,K-fold Cross-validation Method,Large Dimensions,Learning Algorithms,Long Memory,Long Short-term Memory,Long Short-term Memory Model,Long Short-term Memory Network,Matthews Correlation Coefficient,Multilayer Perceptron,Negative Samples,Neural Network,Output Gate,Output Layer,Positive Samples,Potential Avenues For Intervention,Short-term Memory,Sparse Matrix,Support Vector Machine,True Positive,

Biography

Nazer Al Tahifah received the degree in computer engineering from King Fahd University of Petroleum & Minerals (KFUPM). He was a Machine Learning Research Assistant with the SDAIA-KFUPM Joint Research Center for Artificial Intelligence (JRC-AI). In that role, he focused on creating classification models by utilizing advanced computational methods, generative modeling, and natural language processing. He has a keen interest in biomedical research, driving his passion for innovative solutions in this field.