Prashant Kumar

About

Prashant Kumar is currently pursing PhD from IIT Kanpur. His research topics centers on System Identification / Parameter estimation using Artificial Intelligence / Machine Learning, biologically inspired Optimization Techniques, UAS Design, Linear and Non-Linear Control system design, Vision based Guidance and Path Planning. He completed his MTech, in Aerospace Engineering (Flight Dynamics and Control) from IIT Kanpur and BTech in Electronics and Communication Engineering from MNNIT, Allahabad. He has successfully completed many industrial projects and has experience in interdisciplinary domain like Configuration Design and validation of two-seater passenger VTOL Air Taxi for VTOL Aviation India Ltd, High altitude unmanned aircraft (Tata Advance Systems and Real Time Vision Based Tracking. He has also worked on control system designing for “Autonomous flight test of a low RCS high speed aircraft configuration with ducted fan for multiple flight modes” a project by ADA (DRDO).

Employment

• Indian Institute of Technology Kanpur PhD

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (18)

• Data‐driven approach for estimating longitudinal aerodynamic parameters using neural artificial bee colony fusion algorithm
  Asian Journal of Control 2025 DOI: 10.1002/asjc.3164
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• Aerodynamic Parameter Estimation for Near-Stall Maneuver Using Neural Networks and Artificial Bee Colony Algorithm
  Journal of Aerospace Engineering 2024 DOI: 10.1061/JAEEEZ.ASENG-4884
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• Estimation of aerodynamic parameters using neural artificial bee colony fusion algorithm for moderate angle of attack using real flight data
  Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 2023 DOI: 10.1177/09544100231201215
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• Modeling and prediction of powered parafoil unmanned aerial vehicle throttle and servo controls through artificial neural networks
  Drone Systems and Applications 2023 DOI: 10.1139/dsa-2022-0040
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• Design & Implementation of an Electric Fixed-wing Hybrid VTOL UAV for Asset Monitoring
  Journal of Aerospace Technology and Management 2023 DOI: 10.1590/jatm.v15.1297
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• Sensor Based System Identification in Real Time for Noise Covariance Deficient Models
  Defence Science Journal 2022 DOI: 10.14429/dsj.72.17663
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• Detection and Estimation of Natural Gas Leakage Using UAV by Machine Learning Algorithms
  IEEE Sensors Journal 2022 DOI: 10.1109/jsen.2022.3157872
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• Lateral Aerodynamic Parameters Estimation using Neuro Artificial Bee Colony Fusion Algorithm (NABC)
  2022 First International Conference on Artificial Intelligence Trends and Pattern Recognition (ICAITPR) 2022 DOI: 10.1109/icaitpr51569.2022.9844223
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• Longitudinal Aerodynamic Parameters Estimation using Machine Learning with Neuro Artificial Bee Colony Fusion Algorithm (NABC)
  2022 13th Asian Control Conference (ASCC) 2022 DOI: 10.23919/ascc56756.2022.9828108
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• Real-Time Object Detection and Recognition Using Fixed-Wing LALE VTOL UAV
  IEEE Sensors Journal 2022 DOI: 10.1109/JSEN.2022.3206345
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