Abdur Rasool is a Postdoctoral Associate at the University of Hawaii, U.S.A. He received a PhD in computer applied technology (in 2023) from Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (SIAT-CAS), Shenzhen, China. He received a master's degree in Computer Science and Technology from Donghua University, Shanghai, China, in 2020 and a BS (Hons.) degree in software engineering from Government College University, Faisalabad, Pakistan, in 2015.
Abdur Rasool is a Postdoctoral Associate at the University of Hawaii, U.S.A. He received a PhD in computer applied technology (in 2023) from Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (SIAT-CAS), Shenzhen, China. He received a master's degree in Computer Science and Technology from Donghua University, Shanghai, China, in 2020 and a BS (Hons.) degree in software engineering from Government College University, Faisalabad, Pakistan, in 2015.
He has authored over >30 publications in international journals and academic conferences in the data sciences domain, particularly in DNA data storage, bioinformatics, information security, and text mining. He was an excellent international student and an outstanding graduate of the University of Chinese Academy of Sciences (UCAS) and a winner of various research contests. His interests are in multidisciplinary computer science and technology, mainly in AI, Bioinformatics, Computer vision, Neurological disorders diagnosis, DNA data storage, Deep learning, Machine learning, and Sentiment analysis.
He has authored over >30 publications in international journals and academic conferences in the data sciences domain, particularly in DNA data storage, bioinformatics, information security, and text mining. He was an excellent international student and an outstanding graduate of the University of Chinese Academy of Sciences (UCAS) and a winner of various research contests. His interests are in multidisciplinary computer science and technology, mainly in AI, Bioinformatics, Computer vision, Neurological disorders diagnosis, DNA data storage, Deep learning, Machine learning, and Sentiment analysis.
