Dr. Raja Chandrasekaran

About

C. Raja received PhD degree from Anna University, Chennai in the faculty of Information & Communication Engineering in 2016, specialized in Medical image processing; He received his M.Tech. Degree in Biomedical Signal Processing and Instrumentation in 2005 from SASTRA University & B.E. Degree in Electronics and Communication Engineering in 2003 from Bharathidasan University.
From 2005 to till date he has been working as Assistant / Associate Professor/ Professor in various Engineering colleges in India. His present affiliation is with Sri Sairam College of Engg, Bengaluru designated as Professor in ECE. To his credit he has published 5 research papers in SCI (& SCIE) (2 as I author) indexed international journals, 5 in Scopus ( 4 as I author) and few in international –level conferences. He has delivered expert lectures in the topic "Implementation perspectives of AI in medicine using TensorFLow and OpenCV" in a few technical forums including an AICTE sponsored workshop in Puducherry Technological University in 2021.
His research interests are Deep Learning, Digital Image Processing, Wavelets & Multi- Rate Signal Processing, optimization (swarm intelligence) .

Employment

• Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Department of Mechanical Engineering Associate Professor
  2023 - Present
• Sri Sairam College of Engineering Professor
  2022 - 2023
• Vignan's Foundation for Science Technology and Research Professor
  2019 - 2022
• KL University
  2018 - Present
• MVJ College of Engineering Associate Professor & Head
  2016 - 2017

Education

• Anna University Chennai Ph.D.,
  2011 - 2016
• SASTRA University M.Tech
  2003 - 2005
• Saranathan College of Engineering B.E.,
  1999 - 2003

Projects & Funding

Projects & funding information is unavailable.

Publications (12)

• Retinopathy grading with deep learning and wavelet hyper-analytic activations
  The Visual Computer 2022 DOI: 10.1007/s00371-022-02489-z
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• Scalable extension of HEVC with adaptive de-blocking filter for bandwidth-limited applications
  ICT Express 2021 DOI: 10.1016/j.icte.2021.09.002
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• An optimal mode selection algorithm for scalable video coding
  International Journal of Computational Vision and Robotics 2020 DOI: 10.1504/ijcvr.2020.105685
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• An Automatic Detection of Blood Vessel in Retinal Images Using Convolution Neural Network for Diabetic Retinopathy Detection
  Pattern Recognition and Image Analysis 2019 DOI: 10.1134/s1054661819030180
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• A Study on ECG signal Characterization and Practical Implementation of Some ECG Characterization Techniques
  Measurement 2019 DOI: 10.1016/j.measurement.2019.02.040
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• A novel particle swarm optimisation with search space tuning parameter to avoid premature convergence
  International Journal of Mathematical Modelling and Numerical Optimisation 2019
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• Segmentation by Fractional Order Darwinian Particle Swarm Optimization Based Multilevel Thresholding and Improved Lossless Prediction Based Compression Algorithm for Medical Images
  IEEE Access 2019 DOI: 10.1109/access.2019.2891632
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• A Hybrid Swarm Algorithm for optimizing glaucoma diagnosis
  Computers in Biology and Medicine 2015 DOI: 10.1016/j.compbiomed.2015.05.018
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• Incorporating phase information for efficient glaucoma diagnoses through hyper-analytic wavelet transform
  Advances in Intelligent Systems and Computing 2015 DOI: 10.1007/978-81-322-2220-0_26
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• Optimal hyper analytic wavelet transform for glaucoma detection in fundal retinal images
  Journal of Electrical Engineering and Technology 2015 DOI: 10.5370/JEET.2015.10.4.1899
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