Bhupendra Kumar Pathak
Jaypee University of Information Technology, Jaypee University, Dayalbagh Educational Institute, Dr. Bhim Rao Ambedkar University, ITM University
About
Dr. Bhupendra Kumar Pathak has completed his doctorate degree in the area of operations research from the department of Mathematics, Dayalbagh Educational Institute (Deemed University), Dayalbagh, Agra, India, in 2007 under the supervision of Prof. Sanjay Srivastava. His present research interests include soft computing techniques such as neural network, fuzzy logic and evolutionary computation methods. He has published several research papers in national and international peer reviewed journals. He is associated with Jaypee education system since June-2011. Before joining the Jaypee Education System he was associated with ITM University, Gurgaon from August-2009 to June 2011, AMITY University, Noida from Jan 2008 to July 2009, and R.B.S. Degree College, Agra, from 2003 to December 2007.
Employment
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Jaypee University of Information Technology Assistant Professor (Sr. Grade)2020 - Present
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Jaypee University Assistant Professor (Sr. Grade) and Head of department (HOD)2014 - 2020
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Jaypee University of Information Technology Assistant Professor (Grade-II)2011 - 2013
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ITM University Assistant Professor (Sr. Scale)2009 - 2011
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Amity University Lecturer2008 - 2009
Education
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Dayalbagh Educational Institute PhD? - 2007
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Dayalbagh Educational Institute PGDCSA? - 2003
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Dr. Bhim Rao Ambedkar University Master of Statistics? - 2001
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Dr. Bhim Rao Ambedkar University B.Sc.? - 1999
Projects & Funding
Projects & funding information is unavailable.
Publications (36)
- A robust multi-criteria decision making approach for selecting electric vehicle using q-rung orthopair fuzzy set and COPRAS with novel entropy Save
- A Multi-objective Electric Eel Foraging Optimization: A Novel Nature-Inspired Optimizer for Real-World Applications Save
- Enhanced NSGA-II Algorithm for Solving Real-world Multi-objective Optimization Problems Save
- Assessing Student Academic Performance with Fuzzy Expert System Save
- Adopting an Improved Genetic Algorithm for Multi-Objective Service Composition Optimization in Smart Agricultur Save
- Integrated LI-NSGA-II Approach for Solving the Non-linear Multi-objective Optimization Problem Save
- Driver Drowsiness Detection System Save
- A Non-Linear Multi-Objective Service Composition Optimization for Smart Agriculture with Lagrange’s Interpolation-based Evolutionary Algorithm Save
- Adopting an Improved Genetic Algorithm for Multi-Objective Service Composition Optimization in Smart Agriculture Save
- Analyzing the Impact of Uncertainties with Fuzzy Logic on Service Composition in Smart Agriculture Save