Harendra Kumar

About

Dr. Harendra Kumar is an Associate Professor in the Department of Mathematics & Statistics at Gurukula Kangri (Deemed to be University), Haridwar, Uttarakhand, India. He obtained his Master of Science degree from Indian Institute of Technology Roorkee in 2003 and his Ph.D. from Gurukula Kangri (Deemed to be University) in 2008. He qualified the NET (UGC-JRF) in December 2003, NET (CSIR-JRF) in June 2005, and GATE in 2004.Dr. Kumar has published more than 40 research papers in national and international journals in the fields of Operations Research and Distributed Real-Time Systems. He possesses over 16 years of teaching experience and has authored three books for undergraduate and postgraduate students. Additionally, he has contributed several chapters to edited books.Dr. Kumar has been invited to chair sessions and programs at several international conferences and workshops. He has also served on the program committees of numerous international conferences.

Employment

• Gurukula Kangari (Deemed to be University) Associate Professor
  2023 - Present
• Gurukula Kangri (Deemed to be University) Assistant Professor
  2011 - 2023

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (35)

• A hybrid approach by combining fuzzy TOPSIS and PROMETHEE techniques to identify the critical path in project management
  Life Cycle Reliability and Safety Engineering 2026 0 citations DOI: 10.1007/s41872-026-00405-1
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• A novel hybrid WOA–GWO algorithm for multi-objective optimization of energy efficiency and reliability in heterogeneous computing
  Computer Standards & Interfaces 2026 3 citations DOI: 10.1016/j.csi.2025.104106
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• Hybrid fuzzy time series model based on exponential modified fuzzy c-means clustering to robust forecasting under uncertainty
  SN Business & Economics 2026 0 citations DOI: 10.1007/s43546-026-01362-8
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• Hybrid fuzzy clustering technique to enhance the performance based on a fusion of intuitionistic modified fuzzy c-means and improved genetic algorithm
  International Journal of Data Science and Analytics 2025 4 citations DOI: 10.1007/s41060-023-00474-w
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• GWO based energy-efficient workflow scheduling for heterogeneous computing systems
  Soft Computing 2025 4 citations DOI: 10.1007/s00500-025-10614-y
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• A hybrid soft computing technique by using fuzzy Petri nets to optimise the critical path in management problem
  International Journal of Applied Systemic Studies 2024 0 citations DOI: 10.1504/ijass.2024.143378
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• A novel hybrid model for task scheduling based on particle swarm optimization and genetic algorithms
  Mathematics in Engineering 2024 9 citations DOI: 10.3934/mine.2024023
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• A New Hybrid Particle Swarm OptimizationAlgorithm for Optimal Tasks Scheduling in Distributed Computing System
  Intelligent Systems with Applications 2023 19 citations DOI: 10.1016/j.iswa.2023.200219
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• A fuzzy clustering technique for enhancing the convergence performance by using improved Fuzzy c-means and Particle Swarm Optimization algorithms
  Data & Knowledge Engineering 2022 38 citations DOI: 10.1016/j.datak.2022.102050
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• A Study for Plausible Third Wave of COVID-19 in India through Fuzzy Time Series Modelling Based on Particle Swarm Optimization and Fuzzy c-Means
  Mathematical Problems in Engineering 2022 8 citations DOI: 10.1155/2022/5878268
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