Biography
Dr. Prem Kumar Singh
Dr. Prem Kumar Singh
Gandhi Institute of Technology and Management-Visakhapatnam, India
Title: Four Valued characterization of Turiyam or Unknown graph using the defined subset
Abstract: 
Recently, the Turiyam set was introduced for characterization of data sets beyond true, false and uncertain regions. This set is able to represent unknown, undefined, or conduit metaphor of human quantum cognition. Some suitable examples are conflict analysis, voting system and medical diagnoses. The people support a party (t), reject a party (i), uncertain about that party (i) and put NOTA (l), independently. The problem arises while visualization of these types of data sets due its incompleteness and mostly the unknown characteristic. To tackle this issue, a method is introduced in this paper for characterization of this undefined, unknown or Turiyam cognition via a defined subset. The objective is to provide a way to explore them in known graph (t), not known graph (f), partial graph (i) or unknown graph (l) with an example.  

Keywords: Fourth Dimensions; Knowledge representation; Non-Euclidean; Quaternion; Unknown; Turiyam set
Biography: 
Dr. Prem Kumar Singh has more than 13 Years of experience in teaching, research and academics. Currently, he is working as an Associate Professor at Department of Computer Science and Engineering, Gandhi Institute of Technology and Management-Visakhapatnam, Andhra Pradesh-India. Prior to that, he worked as an Assistant Professor at Amity School of Engineering and Technology, Amity University-Noida Sector 125.  He holds a Post-Doc from Faculty of Computer Science and Information Technology, University of Malaya-Kuala Lumpur which was fully funded by HIR Lab Malaysian Govt of Higher Education. He holds a PhD degree in Computer Science from School of Information Technology and Engineering, VIT University-Vellore which was fully funded by NBHM Department of Atomic Energy, Govt of India. His current research interests are soft computing, complex data analysis, graph theory, mathematical modelling and machine intelligence. Towards this direction, he has introduced bipolar, three-polar, m-polar, complex, Plithogenic and Turiyam graph for dealing the known, unknown objects based on human cognition. Recently, he introduced an alternative of h-index as t-index for measuring the consistency in document and citation analysis. Excluding that he has a copyright for the Python based code to analyze the research impact analysis of any University on Several Metrics which echo with NIRF ranking 2019. All of his works were acknowledged by more than 90 peer reviewed conferences and Journals which received more than 1524 citations, 24 H-index and 38 i10 papers. Excluding all, he served as Technical Program Committee, Reviewer, Guest Editor, Editorial board member as well as Speaker for more than 200 peer reviewed conferences and journals. Currently, he is Editor-In-Chief for “Journal of Neutrosophic and Fuzzy Systems” and Associate Editor for “Journal of Artificial Intelligence and Technology”.  His work is also listed as top 2% Scientist by Stanford University in 2020 and 2021 as well in the given research field.