Gaurav Kumar Yadav

About

Dr. Gaurav Kumar Yadav is currently a Postdoctoral Researcher at Bielefeld University, Bielefeld, Germany. Before this, he worked as a Postdoctoral researcher at Rovira I Virgili University Tarragona, Spain. Before this, he served as an Assistant Professor in the Department of Computer Science and Engineering at Siksha O Anusandhan University, Odisha, India. Dr. Yadav holds a PhD in Computer Science and Engineering from Rovira i Virgili University, Spain. He also earned an M.Tech in Information Technology with a specialization in Robotics from the Indian Institute of Information Technology, Allahabad, and a B.Tech in Mechanical Engineering from Dr. R.M.L. Avadh University, Uttar Pradesh, India. His research focuses on Machine Learning, Deep Learning, Computer Vision, and Robotics.

Employment

• University of Essex AI Researcher
  2025 - Present
• Bielefeld University Post doctoral researcher
  2024 - 2025
• Universitat Rovira i Virgili Post doctoral researcher
  2024 - 2024
• Siksha O Anusandhan University Assistant Professor
  2023 - 2024
• Indian Institute of Information Technology Allahabad Research Scholar
  2019 - 2023

Education

• Indian Institute of Information Technology Research Scholar
  2019 - 2023
• Indian Institute of Information Technology Allahabad M.Tech
  2017 - 2019
• Dr. Ram Manohar Lohia Avadh University
  2012 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• Correction to: Implicit regularization of a deep augmented neural network model for human motion prediction
  Applied Intelligence 2025 DOI: 10.1007/s10489-024-06148-9
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• A Data-Driven Model to Predict Quality of Life Dimensions of People with Intellectual Disability Based on the GENCAT Scale
  Social Indicators Research 2024 DOI: 10.1007/s11205-023-03263-x
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• Implicit regularization of a deep augmented neural network model for human motion prediction
  Applied Intelligence 2023 DOI: 10.1007/s10489-022-04419-x
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• Development of human motion prediction strategy using inception residual block
  Multimedia Tools and Applications 2023 DOI: 10.1007/s11042-023-14440-y
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• Effective ML-based quality of life prediction approach for dependent people in guardianship entities
  Alexandria Engineering Journal 2023 DOI: 10.1016/j.aej.2022.10.028
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• Predicting Personalized Quality of Life of an Intellectually Disabled Person Utilizing Machine Learning
  Frontiers in Artificial Intelligence and Applications 2022 DOI: 10.3233/FAIA220327
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• Development of human motion prediction strategy using inception residual block
  arXiv 2021
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• Development of Adaptive Sampling Based strategy for Human Activity Predictions Using Sequential Networks
  2020 DOI: 10.1109/CICT51604.2020.9312097
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• Trajectory Learning for Stable Bipedal Walking Robots using Sequential Networks
  2020 DOI: 10.1109/UPCON50219.2020.9376558
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• Generic Walking Trajectory Generation of Biped using Sinusoidal Function and Cubic Spline
  2020 DOI: 10.1109/SPIN48934.2020.9071083
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