Khalid Raza

Khalid RazaDr. Khalid Raza is working as an Assistant Professor (Reader-scale) at the Department of Computer Science, Jamia Millia Islamia, New Delhi. Earlier he worked as an "ICCR Chair Professor" at Ain Shams University, Cairo, Egypt. He has over 12 years of eaching & research experiments in the field of Translational Bioinformatics and Computational Intelligence. He has contributed over 100 research articles in reputed Journals and Edited Books. Dr. Raza has authored/edited 6 Books published by reputed publishers like Springer-Nature, Elsevier, and CRC Press. Dr. Raza is an Academic Editor of PeerJ Computer Science International Journal, and Guest Editor of the Journal Natural Product Communications. He has an active collaborations with the scientists from leading institutions of India and abroad, including AIIMS (New Delhi), ICMR-NIP, CSIR-IGIB, DRDO-INMAS, NIPGR, CCRUM, DPSRU, UFMG (Brazil), UoT Sydney (Australia), etc. He has received grants for two Govt. funded research projects and worked as Principal Investigator. He is recipient of the Indian Academy of Sciences Faculty Summer Research Fellowship. He is a reviewer of several international journals, a member of several conference review committees. Recently, Dr. Raza has been featured in the list of Top 2% Scientists released by Stanford University (USA) in collaboration with Elsevier. His research interest lies in Machine Learning and its applications in Bioinformatics and Health-informatics. Read More Read Less

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Von Der Natur Inspirierte Intelligente Datenverarbeitungstechniken in Der Bioinformatik37 %
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Artificial Intelligence and Autoimmune Diseases37 %
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Machine Learning in Single-Cell Rna-Seq Data Analysis37 %
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Solving With Bees: Transformative Applications of Artificial Bee Colony Algorithm37 %
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Computational Intelligence in Oncology37 %
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Nature-Inspired Intelligent Computing Techniques in Bioinformatics37 %
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Nature-Inspired Intelligent Computing Techniques in Bioinformatics37 %
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Computational Intelligence Methods in Covid-19: Surveillance, Prevention, Prediction and Diagnosis
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Computational Intelligence Methods in Covid-19: Surveillance, Prevention, Prediction and Diagnosis37 %
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Deep Learning in Genetics and Genomics13 % NR
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Translational Bioinformatics Applications in Healthcare9 % NR
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Computational Intelligence in Oncology9 % NR
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Translational Bioinformatics in Healthcare and Medicine15 % NR
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Deep Learning in Genetics and Genomics13 % NR
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Nature-Inspired Intelligent Computing Techniques in Bioinformatics2 % NR
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01 Nov 2022
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