Dr. Parnasree Chakraborty

About

Dr. Parnasree Chakraborty graduated with a Bachelor's degree in Electronics and Communication Engineering from SJCIT, Chikballapur, Visvesvaraya Technological University, Belgaum, in 2002, achieving first-class with distinction. Subsequently, she pursued her Master's in Communication Systems from Crescent Engineering College, Anna University, graduating in 2007. She completed her Ph.D. in 2019, specializing in signal processing in sensor networks within the Department of Electronics and Communication Engineering at B.S. Abdur Rahman Institute of Science & Technology. With a teaching experience spanning Twenty years, her expertise encompasses signal processing, image processing, AI & ML and communication systems engineering. Dr. Chakraborty has contributed to academia with more than 25 publications in international journals , book chapters and numerous presentations at international conferences. For further communication, her email is [email protected], and her contact number is +91-9884083532.

Employment

• BSA Crescent Institute of Science & Technology Associate Professor
  2007 - Present

Education

• B.S. Abdur Rahman Crescent Institute of Science & Technology

Projects & Funding

Projects & funding information is unavailable.

Publications (17)

• A Project-Based Learning Approach for Teaching Edge AI and Embedded Systems: An Interdisciplinary Case Study on Vision-Only UAV Detection Using YOLOv8 on Raspberry Pi 5
  Journal of Engineering Education Transformations 2026 DOI: 10.16920/jeet/2026/v39is4/26117
  +Save
• Non-invasive cuff free blood pressure and heart rate measurement from photoplethysmography (PPG) signal using machine learning
  Wireless Personal Communications 2024 DOI: 10.1007/s11277-024-11070-x
  +Save
• Artificial Intelligence-based Oral Cancer Screening System using Smartphones
  Engineering, Technology and Applied Science Research (ETASR) 2023
  +Save
• IoT-Based Smart Irrigation and Monitoring System in Smart Agriculture
  Futuristic Communication and Network Technologies 2022 DOI: 10.1007/978-981-16-4625-6_5
  +Save
• Influence of Bias and Variance in Selection of Machine Learning Classifiers for Biomedical Applications
  Algorithms for Intelligent Systems 2022 DOI: 10.1007/978-981-19-3311-0_39
  +Save
• Integration of Prediction Based Hybrid Compression in Distributed Sensor Network
  Wireless Personal Communications 2022 DOI: 10.1007/s11277-021-08896-0
  +Save
• Extended Applications of Compressed Sensing Algorithm in Biomedical Signal and Image Compression
  Journal of The Institution of Engineers (India): Series B 2022 DOI: 10.1007/s40031-021-00592-8
  +Save
• An Efficient Parallel Block Compressive Sensing Scheme for Medical Signals and Image Compression
  Wireless Personal Communications 2022 DOI: 10.1007/s11277-021-09270-w
  +Save
• Performance Analysis of Bit Error Rate, Capacity and Outage Probability using Power Domain Non-Orthogonal Multiple Access (PD-NOMA) and Orthogonal Multiple Access (OMA) with Far/Near User
  2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) 2022 DOI: 10.1109/iciccs53718.2022.9788438
  +Save
• EEG based Neurocognitive Metrics for Determination of Concentration Level in Young Adults
  2020 International Conference on Communication and Signal Processing (ICCSP) 2020 DOI: 10.1109/iccsp48568.2020.9182248
  +Save