Specialization

System Optimisation

Email

nirbhow@thapar.edu

Biography

Nirbhow Jap Singh has done Bachelor of Engineering and Masters of Engineering in Instrumentation and Control Engineering from Sant Longowal Institute of Engineering and Technology. Sangrur in 2000 and 2004, respectively. He has submitted, his Ph. D in optimization techniques at Thapar Institute of Engineering & Technology Patiala. He has more than fifteen years of teaching experience. His research interests include Embedded systems, Optimization techniques and applications of artificial intelligence.

Academic Background/Qualification

• Ph.D. Completed
• M.E. (Instrumentation and control)
• B.E. (Instrumentation and control)

Work Experience

[duration year wise, Institute / Industry, place]

• Teaching: Thapar Institute of Engineering & Technology Patiala (from Jan, 2005 till date)
• Research: Thapar Institute of Engineering & Technology Patiala (from 2009 till date)

Membership of Societies (academic/research)

Life Member of MSI, IET, IEEE

Publications (Number only)

Journals

• V. Raizada, N. J. Singh, V. Chopra, J. Kaur, R. Lamba, “Fractional order PID controller design using predator effect inspired artificial bee colony algorithm,” Journal of Engineering Research, 2026.
• N. J. Singh, V. Chopra, S. Pandey, “Artificial bee colony with predator effect algorithm for proportional integral derivative controller tuning,” Journal of Vibration and Control, vol. 30, no. 23-24, pp. 5287-5297, 2024.
• P. Chourey, K. Soni, N. J. Singh, R. Agarwal, “IoT-Sodar network for airshed management planning,” IETE Journal of Research, vol. 69, no. 10, pp. 6931-6945, 2023.
• V. Chopra, N. J. Singh, R. Kumar, V. Sharma, “Position control of pmbldc motor using SVR-and ANFIS-based controllers,” National Academy Science Letters, vol. 45, no. 1, pp. 57-60, 2022.
• S. Singh, N. Singh, A. Gupta, “System sizing of hybrid solar‐fuel cell battery energy system using artificial bee colony algorithm with predator effect,” International journal of energy research, vol. 46, no. 5, pp. 5847-5863, 2022.
• P. Chourey, N. J. Singh, K. Soni, R. Agarwal, “SODAR based meteorological sensor network for air pollution monitoring in Northern India,” Mapan, vol. 37, no. 4, pp. 901-915, 2022.
• P. Chourey, N. J. Singh, K. Soni, R. Agarwal, “A novel signal conditioning system for SODAR,” Measurement Science and Technology, vol. 33, no. 11, pp. 115801, 2022.
• P. Chourey, N. J. Singh, K. Soni, R. Agarwal, “IoT-Enabled Sensor Node for Environmental Monitoring,” Recent Advances in Metrology: Select Proceedings of AdMet 2021, pp. 353-362, 2022.
• N. J. Singh, V. Chopra, S. Pandey, S. Singh, “Artificial bee colony with predator effect algorithm for PID controller tuning,”, 2022.
• K. Soni, N. Kumar, A. S. Nair, P. Chourey, N. J. Singh, R. Agarwal, “Artificial Intelligence: Implementation and obstacles in industry 4.0,” Handbook of metrology and applications, pp. 1-23, 2022.
• K. Soni, A. S. Nair, N. Kumar, P. Chourey, N. J. Singh, R. Agarwal, “Development of Calibrated and Validated SODAR with Reference of Air Quality Management,” Handbook of Metrology and Applications, pp. 1-25, 2022.
• K. Soni, P. Chourey, N. Kumar, N. J. Singh, R. Agarwal, A. S. Nair, “Fusion of Smart Meteorological Sensors, Remote Sensing Techniques, and IoT in Context of Industry 4.0,” Handbook of Metrology and Applications, pp. 1-26, 2022.
• N. J. Singh, S. Singh, V. Chopra, M. A. Aftab, S. S. Hussain, T. S. Ustun, “Chaotic evolutionary programming for an engineering optimization problem,” Applied Sciences, vol. 11, no. 6, pp. 2717, 2021.
• S. Singh, P. Chauhan, N. J. Singh, “Feasibility of grid-connected solar-wind hybrid system with electric vehicle charging station,” Journal of Modern Power Systems and Clean Energy, vol. 9, no. 2, pp. 295-306, 2020.
• S. Singh, P. Chauhan, N. Singh, “Capacity optimization of grid connected solar/fuel cell energy system using hybrid ABC-PSO algorithm,” International Journal of Hydrogen Energy, vol. 45, no. 16, pp. 10070-10088, 2020.
• N. J. Singh, J. Dhillon, D. Kothari, “Non-interactive approach to solve multi-objective thermal power dispatch problem using composite search algorithm,” Applied Soft Computing, vol. 65, pp. 644-658, 2018.
• N. J. Singh, J. Dhillon, D. Kothari, “Multiobjective thermal power load dispatch using adaptive predator–prey optimization,” Applied Soft Computing, vol. 66, pp. 370-383, 2018.
• N. J. Singh, J. Dhillon, D. Kothari, “Multi-objective thermal power load dispatch using chaotic differential evolutionary algorithm and Powell’s method,” Soft Computing, vol. 22, pp. 2159-2174, 2018.
• N. J. Singh, J. Dhillon, D. Kothari, “Hybrid Search Method for Optimization in Real Parameter space,”, 2017.
• N. J. Singh, J. Dhillon, D. Kothari, “Surrogate worth trade-off method for multi-objective thermal power load dispatch,” Energy, vol. 138, pp. 1112-1123, 2017.
• N. J. Singh, J. Dhillon, D. Kothari, “Synergic predator-prey optimization for economic thermal power dispatch problem,” Applied Soft Computing, vol. 43, pp. 298-311, 2016.