In this era handling uncertainty its significance is considered as one of the crucial tasks for the dark data analysis. In this process problem arises that the data and its uncertainty exists beyond fourth dimensions. To deal with it “Turiyam set” is introduced at Int'l Conference on Operations Research and Applications (ORA 2021) which held at Guilin, China. In this talk the precise representation of fourth dimension data in turiyam context and its application for data analysis will be discussed. This logic is motivated from Yin-Yang theory of Chinese Taoism as well as Sanskrit Yamma-Yammi.  One of the most suitable examples is medical diagnoses data set. Let us suppose COVID19 data which contain fourth dimensions uncertainty for the analysis. The people who got recovered can be considered as true regions (t), people who died due to COVID19 can be considered as false regions (f), people who are still active can be considered as indeterminacy (i), people who got vaccinated can be considered as Turiya or Liberated state (l). The refusal degree means people who still did not come under these regions can be represented as 1-(t+i+f+l). This speech will discuss the analysis of fourth dimension data using the Turiyam context.

Dr. Prem Kumar Singh working as an Associate Professor at Department of Computer Science and Engineering, Gandhi Institute of Technology and Management-Visakhapatnam, Andhra Pradesh-India. He has more than 11 Years of experience in teaching, research and academics field. He worked as capacity of as an Assistant Professor at Amity School of Engineering and Technology, Amity University-Noida Sector 125.  He has completed a Post-Doc in Computer Science 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. He has completed a Master Degree in Computer Applications from the CSJM University, Kanpur –India after completion of Bachelor Degree in Computer Science from University of Allahabad-Uttar Pradesh, respectively. His current research interests are soft computing, complex data analysis, graph theory, mathematical modelling and machine intelligence. Towards this direction, he has introduced interval-valued, bipolar, three-polar, m-polar, and complex fuzzy graphs as frontier researchers in this field. Recently, he introduced a Turiyam set for handling the fourth dimension data analysis at as Keynote speaker at Int'l Conference on Operations Research and Applications (ORA 2021) which will be held during May 29-31, 2021 in Guilin, China. He has published more than 72 research papers in peer reviewed conferences and journals which were cited more than 1220 with 21 H-index and more than 35 i10 papers. He has filed a Malaysian patent for query optimization. He has a copyright of Python based code for research impact analysis of any University on Several Metrics which echo with NIRF ranking 2019. He served as Technical Program Committee, Reviewer, Guest Editor, Editorial board member as well as Speaker for more than 102 peer reviewed conferences and journals.