Rahul Bansal

About

Rahul Bansal received his Ph.D. degree from Delhi Technological University (Formerly Delhi College of Engineering), Delhi, India, in 2020. He was an Assistant Professor at the Department of Electronics and Communication Engineering, Ajay Kumar Garg Engineering College, Ghaziabad, India. He was a recipient of the Junior Research Fellowship and Senior Research Fellowship from the Council for Scientific and Industrial Research (CSIR), India. He also worked as a Post-Doctoral Fellow at the Indian Institute of Technology Kanpur. He worked as a Postdoctoral Fellow at the Indian Institute of Technology (BHU), Varanasi, under the SERB-DST National Postdoctoral Fellowship Scheme. He is currently working as Assistant Professor at Galgotias University. His research interests include nonlinear filtering, state and parameter estimation of systems, nonlinear analysis of systems, and stochastic filtering. Dr. Bansal is a reviewer of several international journals. He received Research Excellence Award and Premier Research Award from Delhi Technological University, Delhi, in March 2020 and March 2022, respectively.

Employment

• Galgotias University Assistant Professor
  2025 - Present
• Indian Institute of Technology Kanpur Postdoctoral Fellow
  2023 - 2025
• Indian Institute of Technology (BHU) Varanasi National Post Doctoral Fellow
  2022 - 2023
• Ajay Kumar Garg Engineering College Assistant Professor
  2020 - 2022

Education

• Delhi Technological University Ph.D.

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• Leveraging stochastic filtering approach in fractional order Colpitts oscillator circuit
  Digital Signal Processing 2026 DOI: 10.1016/j.dsp.2025.105610
  +Save
• AutoTag: a framework for generating training data
  Progress in Artificial Intelligence 2025 DOI: 10.1007/S13748-024-00360-X
  +Save
• Rate-Monotonic Scheduler for LoRa-based Smart Space Monitoring System
  Proceedings of the IEEE International Conference on Communications (ICC) 2023 DOI: 10.1109/ICC45041.2023.10278736
  +Save
• Performance Analysis of CSS Over α-η-μ and α-κ-μ Fading Channel Using Clustering-Based Technique
  Wireless Personal Communications 2022 DOI: 10.1007/S11277-022-09880-Y
  +Save
• Stochastic filtering based transmissibility estimation of novel coronavirus
  Digital Signal Processing 2021 DOI: 10.1016/j.dsp.2021.103001
  +Save
• CT-DANN: Co-teaching Meets DANN For Wild Unsupervised Domain Adaptation
  Proceedings of the Twelfth Indian Conference on Computer Vision, Graphics and Image Processing, Icvgip 2021 DOI: 10.1145/3490035.3490262
  +Save
• Efficacy of Routinely used Analgesics in Management of Pulpal Pain Postoperatively a Clinical Study
  Journal of Pharmacy and Bioallied Sciences 2021 DOI: 10.4103/JPBS.JPBS_782_20
  +Save
• Stochastic filtering in fractional-order circuits
  Nonlinear Dynamics 2021 DOI: 10.1007/S11071-020-06152-X
  +Save
• Stochastic Filtering in Electromagnetics
  IEEE Transactions on Antennas and Propagation 2020 DOI: 10.1109/tap.2020.3027054
  +Save
• Extended Kalman filter based nonlinear system identification described in terms of Kronecker product
  AEU - International Journal of Electronics and Communications 2019 DOI: 10.1016/j.aeue.2019.05.033
  +Save