Dr. Navleen Singh Rekhi

About

Dr. Navleen Singh Rekhi is an accomplished academician and researcher in the field of Electronics and Communication Engineering, currently serving as an Assistant Professor at DAVIET, Jalandhar. His expertise lies in digital signal processing, image enhancement, and biomedical signal analysis. He is known for his work on brightness preservation techniques and intelligent algorithms for biomedical applications. He is currently associated with the teaching in CSE- AIML courses.

Employment

• DAV Institute of Engineering & Technology, Jalandhar Teaching & Project Management
  2024 - Present
• DAVIET Assistant Professor
  2011 - 2024
• Dr. B. R. Ambedkar National Institute of Technology Jalandhar Assistant Professor
  2007 - 2011

Education

• Punjab Technical University PhD
  ? - 2024

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• Gamma Correction for Brightness Preservation in Natural Images
  Computer Systems Science and Engineering 2023 DOI: 10.32604/csse.2023.026976
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• EAGL: Enhancement Algorithm based on Gamma Correction for Low Visibility Images
  International Journal of Advanced Computer Science and Applications (IJACSA) 2022 DOI: 10.14569/IJACSA.2022.0130695
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• Performance Evaluation of Enhancement Algorithm for Contrast Distorted Images
  Proceedings of Trends in Electronics and Health Informatics: TEHI. Lecture Notes in Networks and Systems (376) 2022 DOI: 10.1007/978-981-16-8826-3_4
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• Adaptive Logarithmic-Power Algorithm for Preserving the Brightness in Contrast Distorted Images
  International Journal of Advanced Computer Science and Applications (IJACSA) 2021 DOI: 10.14569/IJACSA.2021.0121022
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• Adaptive Enhancement algorithm using image Decomposition for non-uniform illuminated images
  Third International Conference on Smart Systems and Inventive Technology (ICSSIT) 2020 DOI: 10.1109/ICSSIT48917.2020.9214239
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• Function Classification of EEG Signal for Human-Computer Interface
  Soft Computing: Theories and Applications. Proceedings of SoCTA. Advances in Intelligent Systems and Computing (AISC 1053) 2020 DOI: 10.1007/978-981-15-0751-9_33
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• Analysis of EMG Signal Using Wavelet Coefficients for Upper Limb Function
  IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, VOL 1 2009 DOI: 10.1109/ICCSIT.2009.5234929
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• EOG and EMG based virtual keyboard: A brain-computer interface
  Proceedings - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009 2009 DOI: 10.1109/ICCSIT.2009.5234951
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• Multi-class SVM classification of surface EMG signal for upper limb function
  3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009 2009 DOI: 10.1109/ICBBE.2009.5163093
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