Specialization

Control Systems

Email

vikram.chopra@thapar.edu

Biography

Vikram is working as an Associate Professor in the Department of Electrical & Instrumentation Engineering at Thapar Institute of Engineering & Technology Patiala. He received B.E (Electrical) from APJ College of Engineering, Gurgaon in 2006, M.Tech. in Control System from N.I.T. Kururkshetra in 2009 and Ph.D in the field of nonlinear control from Thapar Institute of Engineering & Technology Patiala in year 2015. His areas of interest include nonlinear control, artificial intelligence and process control

Education

Academic experience

List of publications

• D. Mishra, V. Chopra, D. Mishra, and A. Baral, “A non-invasive measurement-based modeling for assessing power transformer aging and reliability,” Measurement, vol. 272, Art. no. 120968, 2026, doi: 10.1016/j.measurement.2026.120968.
• V. Raizada, N. J. Singh, V. Chopra, J. Kaur, and R. Lamba, “Fractional order PID controller design using predator effect inspired artificial bee colony algorithm,” Journal of Engineering Research, vol. 14, no. 2, pp. 1808–1819, 2026, doi: 10.1016/j.jer.2026.02.020.
• S. Pandey, S. K. Aggarwal, P. Jood, and V. Chopra, “Hybrid fractional order PIλDμ-PD control scheme for power system with modelling non-linearities and renewable resources,” Journal of Engineering Research, 2025.
• H. Saini, G. Singh, A. Kaur, S. Saini, N. A. Wani, V. Chopra, R. R. Marie, et al., “Elevating cloud security with advanced trust evaluation and optimization of hybrid Fireberg technique,” IET Software, 2025, Art. no. 3296533.
• H. Saini, G. Singh, A. Kaur, S. Saini, N. A. Wani, V. Chopra, Z. Akhtar, and S. A. Bhat, “Hybrid optimization machine learning framework for enhancing trust and security in cloud network,” IEEE Access, vol. 12, pp. 195943–195959, 2024.
• N. J. Singh, V. Chopra, and S. Pandey, “Artificial bee colony with predator effect algorithm for proportional integral derivative controller tuning,” Journal of Vibration and Control, vol. 30, nos. 23–24, pp. 5287–5297, 2024.
• N. Rasool, J. I. Bhat, N. B. Aoun, A. Alharthi, N. A. Wani, V. Chopra, M. S. Anwar, et al., “Resmha-net: Enhancing glioma segmentation and survival prediction using a novel deep learning framework,” Computers, Materials & Continua, vol. 81, no. 1, pp. 885–909, 2024.
• P. Jood, S. K. Aggarwal, and V. Chopra, “Adaptive neuro-fuzzy based load frequency control in presence of energy storage devices,” Intelligent Automation & Soft Computing, vol. 34, no. 2, 2022.
• V. Chopra, N. J. Singh, R. Kumar, and 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.
• P. Jood, S. K. Aggarwal, and V. Chopra, “Discrete control of two-area power system consisting reheat thermal and renewable sources,” IFAC-PapersOnLine, vol. 55, no. 1, pp. 265–270, 2022.
• Chawla, V. Chopra, and A. Singla, “Robust stabilization control of a spatial inverted pendulum using integral sliding mode controller,” International Journal of Nonlinear Sciences and Numerical Simulation, vol. 22, no. 2, pp. 183–195, 2021.
• J. Singh, S. Singh, V. Chopra, M. A. Aftab, S. S. Hussain, and T. S. Ustun, “Chaotic evolutionary programming for an engineering optimization problem,” Applied Sciences, vol. 11, no. 6, Art. no. 2717, 2021.
• S. Goel, R. Kumar, M. Kumar, and V. Chopra, “An efficient page ranking approach based on vector norms using sNorm(p) algorithm,” Information Processing & Management, vol. 56, no. 3, pp. 1053–1066, 2019, doi: 10.1016/j.ipm.2019.02.004
• P. Jood, S. K. Aggarwal, and V. Chopra, “Performance assessment of a neuro-fuzzy load frequency controller in the presence of system non-linearities and renewable penetration,” Computers & Electrical Engineering, vol. 74, pp. 362–378, Mar. 2019, doi: 10.1016/j.compeleceng.2019.02.009.
• V. Chopra, S. K. Singla, and L. Dewan, “Stabilization of an X-Y inverted pendulum using adaptive gain scheduling PID controllers,” Journal of Engineering Research, vol. 3, no. 2, pp. 59–78, 2015.
• R. Kumar, S. K. Singla, and V. Chopra, “Comparison among some well-known control schemes with different tuning methods,” Journal of Applied Research & Technology, vol. 13, no. 2, pp. 409–415, 2013.
• V. Chopra, S. K. Singla, and L. Dewan, “Comparative analysis of tuning a PID controller using intelligent methods,” Acta Polytechnica Hungarica, vol. 11, no. 8, pp. 235–249, 2014.

Sponsored Project

• “Modelling and Control of different type of inverted pendulums in the presence of uncertainties “Supervised by (PI/CoPI) received Grant of Rs 03.0 lacs by TIET Patiala for 2 years, (March 2017-February 2019)