Machine Learning in Single-Cell Rna-Seq Data Analysis
暫譯: 單細胞 RNA-Seq 數據分析中的機器學習

Dr. Khalid Raza is an Associate Professor at the Department of Computer Science, Jamia Millia Islamia (Central University), New Delhi, India. He also served as a ICCR Chair Visiting Professor at the Faculty of Computer & Information Sciences, Ain Shams University, Cairo, Egypt academic session 2017-2018. Dr. Raza has over 13 years of teaching and research experience at undergraduate, postgraduate and doctoral levels. He has contributed over 140 peer-reviewed articles in refereed international journals, conference proceedings, and as book chapters. Dr. Raza has authored/edited 10 Books published by reputed publishers like Springer-Nature, Elsevier, and CRC Press. Dr. Raza is an Academic Editor of PeerJ Computer Science International Journal, Guest Editor of the Natural Product Communications (SAGE), and Mini-Reviews in Medicinal Chemistry (Bentham Science). He has an active collaboration with the scientists from leading institutions of India and abroad. He is an Honorary Research Fellow of INIT International University, Malaysia. Dr. Raza has been featured in the list of World's Top 2% Scientists released by Stanford University (USA) in collaboration with Elsevier for the two consecutive years 2021 and 2022.

卡立德·拉札博士是印度新德里中央大學（Jamia Millia Islamia）計算機科學系的副教授。他曾於2017-2018學年擔任埃及開羅艾因沙姆斯大學計算機與信息科學學院的ICCR主席訪問教授。拉札博士在本科、研究生和博士階段擁有超過13年的教學和研究經驗。他在國際期刊、會議論文集及書籍章節中發表了超過140篇經過同行評審的文章。拉札博士編著或編輯了10本由知名出版社如Springer-Nature、Elsevier和CRC Press出版的書籍。拉札博士是PeerJ計算機科學國際期刊的學術編輯，Natural Product Communications（SAGE）的客座編輯，以及Mini-Reviews in Medicinal Chemistry（Bentham Science）的客座編輯。他與印度及國外的領先機構科學家有著積極的合作。他是馬來西亞INIT國際大學的榮譽研究員。拉札博士在2021年和2022年連續兩年被斯坦福大學（美國）與Elsevier合作發布的全球前2%科學家名單中列入。