Dinesh Kumar

About

I , Dinesh Kumar, currently works as as associate professor at the School of AI of the Bennett University, Greater Noida, U.P., India. Earlier I worked as an auxiliary researcher at ciTechcare of the Instituito Politecnico de Leiria, Portugal. My other previous workplaces were Marwadi University - India, University of Coimbra-Portugal and University of Barcelona-Spain.

I graduated in electrical engineering from the Indian Institute of Technology Kanpur, India, and obtained a PhD degree from University of Coimbra, Portugal, in Information Science in Technology. While working at the University of Barcelona and subsequently at the University of Coimbra he contributed in various national and European Union funded projects since 2003.

My main areas of research are signal and image processing, biosignal signal analysis, machine learning, and data science. Some of his past works include seismic signal analyses, cardiac sound analysis for CVD diagnosis, and EEG analysis for BCI applications. I predominantly use MATLAB, C, and Python in my research work to implement algorithms in process to develop analysis tool.

Employment

• Bennett University Associate Professor
  2023 - Present
• Marwadi University Associate Professor
  2019 - 2023
• Instituto Politécnico de Leiria Auxiliary Researcher
  2019 - 2019
• Marwadi Education Foundation's Group of Institutions Associate Professor
  2014 - Present
• RK University Assistant Professor
  2013 - 2014
• University of Coimbra Researcher
  2004 - 2013
• Universitat de Barcelona Researcher
  2003 - 2004
• Indian Institute of Technology Kanpur Researcher
  2002 - 2013

Education

• Universidade de Coimbra PhD
  2006 - 2015
• Indian Institute of Technology Kanpur B. Tech.
  1997 - 2002

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• Enhancing Privacy in EEG-Based Deep Learning Models Using Differential Privacy Layers
  2026 DOI: 10.1007/978-3-032-27563-9_37
  +Save
• Enhancing seizure detection with hybrid XGBoost and recurrent neural networks
  Neuroscience Informatics 2025 DOI: 10.1016/j.neuri.2025.100206
  +Save
• Unveiling Copy-Move Forgeries: Enhancing Detection With SuperPoint Keypoint Architecture
  IEEE Access 2023 DOI: 10.1109/ACCESS.2023.3304728
  +Save
• Data acquisition based COVID-19 Spread Prediction Analysis
  Proceedings of the International Conference on Electronics and Renewable Systems, ICEARS 2022 2022 DOI: 10.1109/ICEARS53579.2022.9752039
  +Save
• Incorporating ESG in Decision Making for Responsible and Sustainable Investments using Machine Learning
  Proceedings of the International Conference on Electronics and Renewable Systems, ICEARS 2022 2022 DOI: 10.1109/ICEARS53579.2022.9752343
  +Save
• Classifying Power Quality Disturbance using Time and Multiresolution Features through Artificial Neural Network
  2021 International Conference on Intelligent Technologies, CONIT 2021 2021 DOI: 10.1109/CONIT51480.2021.9498515
  +Save
• Characteristics analysis of acoustic partial discharge in cable defects
  2020 21st National Power Systems Conference, NPSC 2020 2020 DOI: 10.1109/NPSC49263.2020.9331904
  +Save
• Simulation of Underground Cable Defects with the Detection of Partial Discharge
  Smart Innovation, Systems and Technologies 2020 DOI: 10.1007/978-981-15-1616-0_49
  +Save
• A survey paper on hand gesture recognition
  Proceedings - 7th International Conference on Communication Systems and Network Technologies, CSNT 2017 2018 DOI: 10.1109/CSNT.2017.8418527
  +Save
• Acoustic cardiac signal analysis: A toolbox
  2015 3rd Experiment International Conference (exp.at'15) 2015 DOI: 10.1109/expat.2015.7463205
  +Save