Piyush Chaubey

About

Piyush Chaubey received the B. Tech degree in Electrical & Electronics Engineering from UP Technical University, Lucknow, (U P) INDIA in 2009 and the M.Tech degree in Control System Engineering from National Institute of Technology, Kurukshetra, (Haryana) INDIA in 2011. He is currently working towards his Ph.D. degree in Electrical Engineering Department from Pandit Deendayal Energy University, Gandhinagar, (Gujarat) India. He is also working as an Assistant Professor in Electrical Engineering Department at Government Engineering College, Bharatpur, (Rajasthan) India. Bharatpur is famous for Keoladeo National Park listed under UNESCO world Heritage center. Previously, he also worked in Electrical Engineering Department at Women Government Engineering College, Ajmer (Rajasthan) India as a TEQIP Faculty under the project - TEQIP III funded jointly by World Bank, Washington DC, USA and Government of INDIA from 2018 to 2021. His research interests include learning based predictive control and their applications to multiagent systems.

Employment

• Government Engineering College Assistant Professor
  2023 - Present
• Govenrment Women Engineering College Assistant Professor
  2018 - 2021
• ITS Egineering College Assistant Professor
  2013 - 2015

Education

• Pandit Deendayal Energy University PhD pursuing
  2021 - Present
• National Institute of Technology Kurukshetra Masters of Technology
  2009 - 2011
• Government of Uttar Pradesh B. Tech
  2005 - 2009

Projects & Funding

Projects & funding information is unavailable.

Publications (8)

• Optimized training functions for recurrent neural network based model predictive control of multi-agent system
  Next Research 2026 DOI: 10.1016/j.nexres.2026.101918
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• A Machine Learning–Driven Biomathematical Model for Predicting Tumour–Immune Dynamics in Cancer Systems
  Letters in Biomathematics 2026 DOI: 10.30707/370-382
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• Adaptive model predictive control for multi-agent systems using twin delayed deep deterministic policy gradient learning
  Engineering Research Express 2026 DOI: 10.1088/2631-8695/ae7235
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• Exploring various neural network configurations for the NN-based MPC in a multi-agent system
  Future Technology 2026 DOI: 10.55670/fpll.futech.5.1.13
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• RNN based Model Predictive Control for multiagent system using switching topology
  PeersAlley Media 2024
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• RNN-Based Model Predictive Control of Multi-agent System Using Switching Topologies
  Data Science and Applications 2024 DOI: 10.1007/978-981-99-7814-4_13
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• Exact Parameter Identification of Photovoltaic Panel by Using Datasheet Details
  Energy Procedia 2019 DOI: 10.1016/j.egypro.2019.01.238
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• Robust Power System Stabilizer based on Static Output Feedback Approach to Enhance Power System Stability
  Energy Procedia 2019 DOI: 10.1016/j.egypro.2019.01.959
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