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Dr.Ritesh Raj

Assistant Professor (Level 10), School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Bengaluru

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

Bio Publications Qualification Professional Experience Achievements Membership Committee Research Courses Taught
Bio

Dr. Ritesh Raj received his Bachelor of Engineering (B.E.) degree in Electrical and Electronics Engineering (EEE) in 2015 from SJB Institute of Technology (SJBIT), Bengaluru, i.e., affiliated with Visvesvaraya Technological University (VTU), Belgaum, 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 completed his Ph.D. in 2024 from the Electrical Engineering Department of the National Institute of Technology (NIT) Raipur, Chhattisgarh, India, in the research field of Artificial Intelligence/Machine Learning/Deep Learning (AI/ML/DL).

Currently, he works as an Assistant Professor at the Amrita School of Artificial Intelligence (AI), Amrita Vishwa Vidyapeetham, Bengaluru, Karnataka, India. He has 01 year of academic experience. His research interests include Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Medical Signal & Image Processing, Control Systems, and Computer & Electrical Engineering. He has 180+ citations, an h-index of 06, and 15 research papers published in Scopus-indexed journals/conferences since 2018. He was a reviewer for various international conferences, such as ICSPER-2024, ICPC2T-2024, CERA-2023, etc., and book chapters published by IGI Global.

Publications

Journal Article

Year : 2024

Objective scoring of psoriasis area and severity index in 2D RGB images using deep learning

Cite this Research Publication : Ritesh Raj, Narendra D. Londhe*, Rajendra Sonawane, Objective scoring of psoriasis area and severity index in 2D RGB images using deep learning, Multimedia Tools and Applications, 83, pp. 68253-68279, 2024.

Publisher : Springer

Year : 2024

Representational and sequential feature learning model for fault classification in power system

Cite this Research Publication : Chiarg Sahu, Narendra D. Londhe*, and Ritesh Raj, Representational and sequential feature learning model for fault classification in power system, Australian Journal of Electrical and Electronics Engineering, pp. 1-12, 2024.

Year : 2024

Fault-MTL: A Multi-task Deep Learning Approach for Simultaneous Fault Classification and Localization in Power Systems

Cite this Research Publication : Dewesh Bhardwaj, Narendra D. Londhe, and Ritesh Raj, Fault-MTL: A Multi-task Deep Learning Approach for Simultaneous Fault Classification and Localization in Power Systems, Journal of Control, Automation and Electrical Systems, 35, pp. 884-898, 2024.

Publisher : Springer

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 : 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

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.

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 : 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.

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 : 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

Book Chapter

Year : 2024

Optimum Detection of Human Genome Related to Cancer Cells Using Signal Processing

Cite this Research Publication : Manoranjan Dash, Ritesh Raj, "Optimum Detection of Human Genome Related to Cancer Cells Using Signal Processing," In Genomics at the Nexus of AI, Computer Vision, and Machine Learning, pp. 309-320, Wiley, 2024

Qualification
  • Doctor of Philosophy (Ph.D.): 
    Year:August 2018 – January 2024
    Thesis Title: Deep Learning-Based CADx System for Full Body Psoriasis Diagnosis
    Supervisor:Prof. Narendra D. Londhe
    Specialization: Deep Learning
    Department: Electrical Engineering Institute: National Institute of Technology (NIT) Raipur, Chhattisgarh, India.
  • Master of Engineering (M.E.): 
    Year:July 2016 – June 2018
    Thesis Title: Designing and Implementation of Optimal Controller for MAGLEV system using H-J-B equation
    Supervisor:Dr. Subrat K. Swain and Dr. Sudhansu K. Mishra
    Specialization: Control System
    Department: Electrical Engineering Institute: Birla Institute of Technology (BIT) Mesra, Ranchi, Jharkhand, India.
  • Bachelor of Engineering (B.E.): 
    Year:July 2011 – June 2015
    Thesis Title: Automatic Power Factor Correction by Microcontroller 8051
    Supervisor:Dr. Rekha P. S.Department: Electrical and Electronics Engineering (EEE)
    Institute: S.J.B. Institute of Technology (SJBIT), Bengaluru, Karnataka, India. (affiliated to Visvesvaraya Technological University (VTU))
Professional Experience
Year Duration Position Department/Organization/Institute
Feb. 2024 to present 06+ months (post PhD) Assistant Professor (full-time) Amrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Bengaluru, Karnataka, India
June 2023 to Jan. 2024 08 months (before PhD) Faculty Associate (full-time) Amrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Bengaluru, Karnataka, India
Achievements

Achievements / Awards / Training:

  • Received “Best Paper Award” for the conference paper titled “TransUNet for Psoriasis Lesion Segmentation” at the 4th IEEE Bombay Section Signature Conference (IBSSC-2022) held on December 8-10, 2022, organized by IEEE Bombay Section and SVKM’s NMIMS MPSTME, Mumbai, India.
  • Received MHRD fellowship during Ph.D. at NIT Raipur from August 2018 to May 2023.
  • Received MHRD fellowship during M.E. at BIT Mesra from August 2016 to July 2018.
  • Qualified GATE 2016 in Electrical Engineering (EE) paper.
  • Completed three weeks of Vocational Training from 08/01/2014 to 27/01/2014 in the Electrical & Electronics Maintenance Departments of Bhilai Engineering Corporation Ltd., Bhilai, Chhattisgarh, India.

  • Won Second Prize in the “Vedic Art (Chariot Making)” event conducted on 24th February 2013 in Vedic Science Fest 2013 organized by ISKCON Bangalore.

Membership

IEEE Graduate Student Member (#94446255) for 3 years (January 2020 – December 2022)

Committee

Committee/Board Member:

  • Member of the review committee for a book titled “Computational Intelligence for Green Cloud Computing and Digital Waste Management” published by IGI Global in February 2024.
  • Acted as a reviewer for international conferences such as ICSPER-2024, ICPC2T-2024, CERA-2023, etc.
Research

Research Activity Organized

Organized and coordinated a Webinar on “Brain-Computer Interface and Its Application” by Dr. Ghanahshyam Kshirsagar from Civic AI Lab, Northeastern University, Boston, USA on 29th October 2023 at Amrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Bengaluru, Karnataka, India.

Courses Taught
  • 23ECE205: Digital Electronics (L-T-P-Cr: 3-0-0-3)
  • 23ECE285: Digital Electronics Laboratory (L-T-P-Cr: 0-0-3-1)
  • 23EEE103: Introduction to Electrical Engineering (L-T-P-Cr: 2-0-2-3)
  • 23ECE113: Introduction to Electronics (L-T-P-Cr: 2-0-2-3)
  • 23AID102: Elements of Computing – I (L-T-P-Cr: 2-0-2-3)
  • 23AID113: Elements of Computing – II (L-T-P-Cr: 2-0-2-3)
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