Muhammad Noman Sohail
Yanshan University, China
Biography
<p>
Dr. Noman Sohail holds a Doctoral (Ph.D. 2020) from Yanshan University, China; specialize in Information science and Technology with the research focus in data mining, healthcare, bioinformatics, technology management, optimization, and knowledge discovery process (KDD) in supervision of Prof. Ren Jiadong. Currently, he is serving as a post-doctoral Research Assistant in Shantou University Medical College with supervision of Prof. Jiao, and working as a team member on projects related to data mining, bioinformatics and Metagenomics about environmental health and bacterial contaminations. He has received his B.Sc. with Hons (2012) and M.Sc. (2014) from the University of East London, UK, in collaboration with the Malaysia campus, both in Computer Sciences and Technology Management. In addition, Noman Sohail's experience appears to be focused on Information Technology, with exposure to Data mining, Healthcare, and Market Research. His work experience includes with several years of tenure in management and academics including a high-level position. Further, his research work carefully examines good research practices for the prediction, development, implementation, analysis, and evaluation of preference methods by utilizing machine learning and statistical approaches to ensure achieving high-quality standard results. He has published several research articles in international conferences and peer-reviewed Journals, with a high impact factor rate. His publication and results in these topics have been widely cited and applied by researchers and industries. In addition, some of his findings have been selected as the best in international conferences. His work has been cited various times at Google scholar and achieved the good H-index >8. Moreover, by utilizing both his research expertise and experience as a peer reviewer at highly peerreviewed journals, he is well prepared to serve as the Associate Professor and Editor positions with leading organizations and scientific journals</p>