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Shujaat Khan
Also published under:
Affiliation
SDAIA-KFUPM Joint Research Center for Artificial Intelligence, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia
Department of Computer Engineering, College of Computing and Mathematics, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia
Department of Computer Engineering, College of Computing and Mathematics, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia
Topic
Youden Index,Anticancer Peptides,Combined Feature Set,Feature Encoder,Isoelectric Point,Mathews Correlation Coefficient,Peptide Sequences,Recurrent Neural Network,Sigmoid Activation Function,Singular Value Decomposition,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,Code Generation,Color In Fig,Contemporary Methods,Contrast-to-noise Ratio,Convolution Operation,Convolutional Layers,Convolutional Neural Network,Convolutional Neural Network Architecture,Cross-validation Experiments,Deep Convolutional Neural Network,Deep Learning,Deformable Convolution,Deformable Layer,Denoising,Dropout Layer,Encoding Strategies,Equal Error Rate,Error Rate,F1 Score,Face Presentation Attack,Face Presentation Attack Detection,Face Recognition,False Acceptance Rate,Feature Extraction Approach,Feature Extraction Methods,Feature Maps,Feature Space,Generative Adversarial Networks,Image Quality,Image Quality Control,
Biography
Shujaat Khan received the Ph.D. degree from the Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea, in 2022. He is currently an Assistant Professor with the Department of Computer Engineering and a fellow with Saudi Data and AI Authority (SDAIA) and SDAIA-KFUPM Joint Research Center for Artificial Intelligence (JRC-AI), King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia. Prior to joining KFUPM, he was a Senior AI Scientist with Digital Technology & Innovation, Siemens Medical Solutions Inc., USA. He was a Researcher with Synergistic Bioinformatics (SynBi) and the Bio Imaging, Signal Processing Learning (BISPL) Laboratories, KAIST. His research interests include machine learning, optimization, inverse problems, and signal processing, with a focus on their applications in various domains.