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Ritesh Raj

Faculty Associate, School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Bengaluru

Qualification: BE, M.E
r_ritesh@blr.amrita.edu
Research Interest: Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Medical Signal & Image Processing, Control Systems, Computer and Electrical Engineering

Bio Publications Qualification
Bio

Ritesh Raj received his Bachelor of Engineering (B.E.) degree in Electrical and Electronics Engineering (EEE) in 2015 from S.J.B. Institute of Technology (SJBIT), Bengaluru, Karnataka, India. He received his Master of Engineering (M.E.) degree in Electrical Engineering from Birla Institute of Technology (BIT), Mesra, Jharkhand, India with Control System specialization in 2018. He is pursuing Ph.D. in the Electrical Engineering Department of National Institute of Technology (NIT) Raipur, Chhattisgarh, India in the domain of Deep Learning. Currently, he is working as a Faculty Associate in the Department of Artificial Intelligence (AI), Amrita Vishwa Vidyapeetham, Bengaluru, Karnataka, India. His research interest includes Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Medical Signal and Image Processing, Control Systems, and Computer and Electrical Engineering. Since 2018, he has published more than 10 research articles in recognized journals and conferences.

Publications

Journal Article

Year : 2023

PsLSNetV2: End to End Deep Learning System for Measurement of Area Score of Psoriasis Regions in Color Images

Cite this Research Publication : Ritesh Raj, Narendra D. Londhe and Rajendra Sonawane, PsLSNetV2: End to End Deep Learning System for Measurement of Area Score of Psoriasis Regions in Color Images, Biomedical Signal Processing and Control, Volume 79, Part 2, 2023, 104138, ISSN

Publisher : Elsevier

Year : 2022

Faulty Line Localization in IEEE 30 Bus System Using CNN-LSTM

Cite this Research Publication : Pavan K. Bais, Narendra D. Londhe, Ritesh Raj and Hira S. Sachdev, "Faulty Line Localization in IEEE 30 Bus System Using CNN-LSTM," 2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT), Mandya, India, 2022, pp. 1-5, https://doi.org/10.1109/ICERECT56837.2022.10060692

Publisher : IEEE

Year : 2021

Psoriasis Lesion Detection Using Hybrid Seeker Optimization Based Image Clustering

Cite this Research Publication : Manoranjan Dash, Narendra D. Londhe, Subhojit Ghosh, Ritesh Raj and Rajendra Sonawane, Psoriasis Lesion Detection Using Hybrid Seeker Optimization Based Image Clustering, Current Medical Imaging, 17(11), 1330-1339, 2021, https://doi.org/10.2174/1573405617666210224112123

Year : 2021

Fault classification in power system distribution network integrated with distributed generators using CNN

Cite this Research Publication : Praveen Rai, Narendra D. Londhe and Ritesh Raj, Fault classification in power system distribution network integrated with distributed generators using CNN, Electric Power Systems Research, Volume 192, 2021, 106914, ISSN 0378-7796, https://doi.org/10.1016/j.epsr.2020.106914

Year : 2021

Classification of faults in an IEEE 30 bus transmission system using fully convolutional network

Cite this Research Publication : Anurag Tikariha, Narendra D. Londhe, Baidyanath Bag and Ritesh Raj, Classification of faults in an IEEE 30 bus transmission system using fully convolutional network, International Transactions on Electrical Energy Systems, Volume 31, Issue 11, 2021, e13134, https://doi.org/10.1002/2050-7038.13134

Year : 2021

Automated psoriasis lesion segmentation from unconstrained environment using residual U-Net with transfer learning

Cite this Research Publication : Ritesh Raj, Narendra D. Londhe and Rajendra Sonawane, Automated psoriasis lesion segmentation from unconstrained environment using residual U-Net with transfer learning, Computer Methods and Programs in Biomedicine, Volume 206, 2021, 106123, ISSN 0169-2607, https://doi.org/10.1016/j.cmpb.2021.106123

Publisher : Elsevier

Conference Proceedings

Year : 2022

TransUnet for psoriasis lesion segmentation

Cite this Research Publication : Samiksha Soni, Narendra D. Londhe, Ritesh Raj and Rajendra Sonawane, "TransUnet for psoriasis lesion segmentation," 2022 IEEE Bombay Section Signature Conference (IBSSC), Mumbai, India, 2022, pp. 1-6, https://doi.org/10.1109/IBSSC56953.2022.10037394

Publisher : IEEE

Year : 2021

Deep Learning based Multi-Segmentation for Automatic Estimation of Psoriasis Area Score

Cite this Research Publication : Ritesh Raj, Narendra D. Londhe and Rajendra Sonawane, "Deep Learning based Multi-Segmentation for Automatic Estimation of Psoriasis Area Score," 2021 8th International Conference on Signal Processing and Integrated Networks (SPIN), Noida, India, 2021, pp. 1137-1142, https://doi.org/10.1109/SPIN52536.2021.9566039

Publisher : IEEE

Year : 2021

Fault Classification in an IEEE 30 Bus System using Convolutional Neural Network

Cite this Research Publication : Anurag Tikariha, Baidyanath Bag, Narendra D. Londhe and Ritesh Raj, "Fault Classification in an IEEE 30 Bus System using Convolutional Neural Network," 2021 4th International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE), Noida, India, 2021, pp. 57-61, https://doi.org/10.1109/RDCAPE52977.2021.9633569

Publisher : IEEE

Year : 2020

Automatic Psoriasis Lesion Segmentation from Raw Color Images using Deep Learning

Cite this Research Publication : Ritesh Raj, Narendra D. Londhe and Rajendra Sonawane, "Automatic Psoriasis Lesion Segmentation from Raw Color Images using Deep Learning," 2020 14th IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Seoul, Korea (South), 2020, pp. 723-728, https://doi.org/10.1109/BIBM49941.2020.9313356

Publisher : IEEE

Year : 2020

A cascaded deep convolution neural network based CADx system for psoriasis lesion segmentation and severity assessment

Cite this Research Publication : Manoranjan Dash, Narendra D. Londhe, Subhojit Ghosh, Ritesh Raj and Rajendra Sonawane, A cascaded deep convolution neural network based CADx system for psoriasis lesion segmentation and severity assessment, Applied Soft Computing, Volume 91, 2020, 106240, ISSN 1568-4946, https://doi.org/10.1016/j.asoc.2020.106240

Publisher : Elsevier

Year : 2019

DCNN-based Psoriasis Disease Classification for Indian Population

Cite this Research Publication : Ritesh Raj, "DCNN-based Psoriasis Disease Classification for Indian Population," 2019 17th Chhattisgarh Young Scientist Congress (CYSC), Raipur, India, 2019.

Year : 2018

Optimal Control for Magnetic Levitation System Using H-J-B Equation Based LQR

Cite this Research Publication : Ritesh Raj, Subrat K. Swain and Sudhansu K. Mishra, "Optimal Control for Magnetic Levitation System Using H-J-B Equation Based LQR," 2018 2nd International Conference on Power, Energy and Environment: Towards Smart Technology (ICEPE), Shillong, India, 2018, pp. 1-6, https://doi.org/10.1109/EPETSG.2018.8658765

Publisher : IEEE

Qualification
  • Ph.D. (Thesis submitted)
    Year: 2018 – 2023
    Specialization: Deep Learning
    Thesis Title: Deep Learning-Based CADx System for Full Body Psoriasis Diagnosis
    Department: Electrical Engineering
    Institute: National Institute of Technology (NIT) Raipur, Chhattisgarh, India.
  • M.E.
    Year: 2016 – 2018
    Specialization: Control System
    Thesis Title: Designing and Implementation of Optimal Controller for MAGLEV system using H-J-B equation
    Department: Electrical Engineering
    Institute: Birla Institute of Technology (BIT) Mesra, Ranchi, Jharkhand, India.
  • B.E.
    Year: 2011 – 2015
    Thesis Title: Automatic Power Factor Correction by Microcontroller 8051
    Department: Electrical and Electronics Engineering (EEE)
    Institute: S.J.B. Institute of Technology (SJBIT), Bengaluru, Karnataka, India (affiliated to Visvesvaraya Technological University (VTU)).
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