Dr. Neha Khanduja

About

Dr. Neha Khanduja is actively involved in research and academic activities in the field of engineering and applied sciences. Her work encompasses control engineering, optimization, intelligent algorithms, and system analysis, with the objective of improving the performance, reliability, and efficiency of complex engineering systems. She has authored and co-authored several research publications and participates in collaborative research initiatives aimed at addressing contemporary technological challenges. Her academic interests include advanced control strategies, computational intelligence, process automation, and sustainable engineering solutions. Through her research, teaching, and professional contributions, she seeks to promote innovation and excellence in engineering education and practice.

Employment

• Bhagwan Parshuram Institute of Technology ASSISTANT PROFESSOR
  2009 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• Speed Control of a DC Motor Using Hybrid Metaheuristic-Tuned 2-DOF PID Controller
  SN Computer Science 2025 DOI: 10.1007/s42979-025-04528-7
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• Hybrid State of Matter Search Algorithm and its Application to PID Controller Design for Position Control of Ball Balancer System
  Iranian Journal of Science and Technology, Transactions of Electrical Engineering 2022 DOI: 10.1007/s40998-022-00506-4
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• Chaotic state of matter search with elite opposition based learning: A new hybrid metaheuristic algorithm
  Optimal Control Applications and Methods 2021 DOI: 10.1002/oca.2810
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• Optimal design of FOPID Controller for the control of CSTR by using a novel hybrid metaheuristic algorithm
  Sādhanā 2021 DOI: 10.1007/s12046-021-01632-1
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• Comparative Control Study of CSTR Using Different Methodologies: MRAC, IMC-PID, PSO-PID, and Hybrid BBO-FF-PID
  Studies in Big Data 2021 DOI: 10.1007/978-981-33-4412-9_26
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• Recent Advances and Application of Metaheuristic Algorithms: A Survey (2014–2020)
  Studies in Computational Intelligence 2020 DOI: 10.1007/978-981-15-7571-6_10
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• Control of CSTR using firefly and hybrid firefly-biogeography based optimization (BBFFO) algorithm
  Journal of Information and Optimization Sciences 2020 DOI: 10.1080/02522667.2020.1809098
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• CSTR Control Using IMC-PID, PSO-PID, and Hybrid BBO-FF-PID Controller
  Advances in Intelligent Systems and Computing 2018 DOI: 10.1007/978-981-13-1822-1_48
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• Intelligent Control of CSTR using IMC-PID and PSO-PID controller
  2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES) 2016 DOI: 10.1109/icpeices.2016.7853329
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• Swarmand pheromone based reinforcement learning methods for the robot(s) path search problem
  2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES) 2016 DOI: 10.1109/icpeices.2016.7853733
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