Prem Kumar Singh

Prem Kumar Singh

Professor, Computer science engineering, GST, VSP

Education
Ph. D.
Email ID
psingh@gitam.edu
Education
Ph. D.

Education

Degree NameInstitute & College nameYear of Graduation/Award
Investigations on Formal Concept Analysis in the Fuzzy SettingsSCHOOL OF INFORMATION TECHNOLOGY AND ENGINEERING2014
MCA2010
BSc2007

Experience

DesignationOrganizationFrom DateTo Date
ASSISTANT PROFESSORAMITY UNIVERSITY04-07-201607-12-2020
POST-DOCUNIVERSITY OF MALAYA29-01-201528-12-2016
RESEARCH ASSOCIATEVIT UNIVERSITY01-04-201314-11-2014
JUNIOR RESEARCH FELLOWVIT UNIVERSITY01-04-201129-03-2013

Complex multi fuzzy context analysis at different granulationGranular Computing, Google scholar, JAN-2021, 6, 191-206

Robbery Pattern Analysis (RPA) using the concept of multipolarity and examining the influencing factorsInternational Journal of Information Technology, Scopus, MAR-2021, 0, 0

Complex vague contexts analysis using Cartesian products and granulationComplex vague contexts analysis using Cartesian products and granulation, Google scholar, JAN-2020, 5, 37-53

Plithogenic set for multivariable data analysisInternational Journal of Neutrosophic Science, Google scholar, JAN-2020, 1, 81-89

Bipolar delta equal complex fuzzy concept lattice with its application Neural Computing and Applications, Web of science, APR-2020, 32, 2405-2422

Multigranular based n valued neutrosophic contexts analysisGranular Computing, Google scholar, JUL-2020, 5, 28-301

Neutrosophic Technique Based Efficient Routing Protocol For MANET Based On Its Energy And DistanceNeutrosophic Sets and Systems,, Web of science, MAR-2019, 24, 61-69

Energy and Spectrum Analysis of Interval valued Neutrosophic graph Using MATLABNeutrosophic Set and Systems, Web of science, MAR-2019, 24, 49-60

Single valued (2n1) sided polygonal neutrosophic numbers and Singlevalued (2n) sided polynomial neutrosophic numbersNeutrosophic Sets and Systems, Web of science, APR-2019, 25, 54-65

Bipolar fuzzy concept learning using Next Neighbor and Euclidean distanceSoft Computing, Web of science, JUN-2019, 23, 4503-4520

Single valued neutrosophic context analysis at distinct multi granulationComputational and Applied Mathematics, Springer, Web of science, MAR-2019, 38, 1-18

Granular based decomposition of complex fuzzy context and its analysisProgress in Artificial Intelligence, Springer, Scopus, JUN-2019, 8, 181-193

Complex fuzzy concept latticeNeural Processing Letters, Springer, Web of science, JUN-2019, 49, 1511-1526

Object and attribute oriented m polar fuzzy concept lattice using the projection operatorGranular Computing, Springer, Google scholar, JUN-2019, 4, 545-558

Some properties of Pentagonal Neutrosophic Numbers and its Applications in Transportation Problem EnvironmentNeutrosophic Sets and Systems, Web of science, AUG-2019, 28, 200-215

Multi granulation based graphical analytics of three way bipolar neutrosophic contextsCognitive Computations, Springer, Web of science, AUG-2019, 11, 513-528

Vague concept lattice reduction using granular computing and vague entropyMathematics and Computers in Simulation, Elsevier, Web of science, NOV-2019, 165, 56-73