YEDUKONDALA RAO VEERANKI

About

Yedukondala Rao V is a researcher specialized in Signal Processing and Machine Learning for Biomedical Applications. He holds a Doctor of Philosophy (PhD) from the Indian Institute of Technology Madras, with a focus on analyzing emotional states in Electrodermal activity signals. Yedukondala Rao has authored numerous peer-reviewed articles and presented his research findings at prestigious conferences. He is currently a Post-Doctoral Research Associate at the University of Connecticut, USA.

Research Interests:
• Signal Processing
• Machine Learning
• Biomedical Engineering
• Digital System Design
• Wearable Electronics

Employment

• University of Connecticut Postdoctoral Research Associate
  2023 - 2024
• Indian Institute of Technology Madras Postdoctoral Equivalent Fellow
  2023 - 2023
• Manipal Institute of Technology Assistant professor
  2013 - 2019

Education

• Pondicherry Central University M.Tech
  2011 - 2013
• Acharya Nagarjuna University B.Tech
  2007 - 2010

Projects & Funding

Projects & funding information is unavailable.

Publications (20)

• Comparing Brain and Electrodermal Responses for Arousal Classification in Human–Computer Interaction
  Biophysica 2026 DOI: 10.3390/biophysica6030049
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• Fractal Analysis of Electrodermal Activity for Emotion Recognition: A Novel Approach Using Detrended Fluctuation Analysis and Wavelet Entropy
  Sensors 2024 DOI: 10.3390/s24248130
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• Recent Studies on Smart Textile-Based Wearable Sweat Sensors for Medical Monitoring: A Systematic Review
  Journal of Sensor and Actuator Networks 2024 DOI: 10.3390/jsan13040040
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• Detecting Psychological Interventions Using Bilateral Electromyographic Wearable Sensors
  Sensors 2024 DOI: 10.3390/s24051425
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• Comparison of Electrodermal Activity Signal Decomposition Techniques for Emotion Recognition
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3361832
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• Nonlinear Signal Processing Methods for Automatic Emotion Recognition Using Electrodermal Activity
  IEEE Sensors Journal 2024 DOI: 10.1109/JSEN.2024.3354553
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• EEG-Based Seizure Detection Using Variable-Frequency Complex Demodulation and Convolutional Neural Networks
  Signals 2023 DOI: 10.3390/signals4040045
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• EDA-graph: Graph Signal Processing of Electrodermal Activity for Emotional States Detection
  TechRxiv 2023 DOI: 10.36227/techrxiv.24311716.v1
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• Classification of Dichotomous Emotional States Using Electrodermal Activity Signals and Multispectral Analysis
  Studies in Health Technology and Informatics 2022 DOI: 10.3233/SHTI220631
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• CHARACTERIZATION OF DICHOTOMOUS EMOTIONAL STATES USING ELECTRODERMAL ACTIVITY BASED GEOMETRIC FEATURES
  Biomedical Sciences Instrumentation 2022 DOI: 10.34107/NSJX733575
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