Personal Information

Dr. Prakash Choudhary

Ph.D. (CSE) from MNIT Jaipur, M.Tech. (CSE) from VNIT Nagpur, B.E.(Information Technology) from Govt. Engg. College Ajmer, University of Rajasthan, Jaipur

prakash.choudhary@curaj.ac.in

  • Information Retrieval
  • Image Processing
  • Machine Learning and Pattern Recognition
  • Multilingual Text Recognition
  • Federated Learning
  • Medical Imaging

Education Qualification:

  • Ph.D. (Computer Science and Engineering) from Malaviya National Institute of Technology Jaipur (MNIT)
  • M.Tech (Computer Science and Engineering) from Visvesvaraya National Institute of Technology Nagpur (VNIT)
  • B.E. (Information Technology) from Govt. Engineering College Ajmer (Rajasthan University)

Fellowship:

  • GATE (Graduate Aptitude Test in Engineering)

Professional Experience:

  • Associate Professor, Central University of Rajasthan (November 2022)
  • Assistant Professor, National Institute of Technology Hamirpur, Himachal Pradesh (December 2018 - November 2022) 
  • Assistant Professor, National Institute of Technology Manipur, Manipur (December 2013 - December 2018) 

Thesis Supervised

Ph.D.:

  • Completed - 04                                                                                         

ME/M.Tech.:  24 

          

S. No. Authors Title of Article Journal/Conference Details Journal/Conference Publication Year
1 Tarun Agrawal and Prakash Choudhary ReSE-Net: Enhanced UNet architecture for lung segmentation in chest radiography images Computational Intelligence(SCI, IF-2.4) Journal 2023
2 Kunwar Prashant, Prakash Choudhary, Tarun Agarwal, Evam Khaushik OWAE-Net: Covid-19 detection from ECG images using Deep Learning and Optimized Weighted Average Ensemble Technique Intelligent Systems with Applications (Scopus) Journal 2022
3 Tarun Agrawal and Prakash Choudhary ALCNN: Attention based lightweight convolutional neural network for pneumothorax detection in chest x-rays. Biomedical Signal Processing and Control (SCI, IF-5.1) Journal 2022
4 Tarun Agrawal and Prakash Choudhary COVID-SegNet: encoder–decoder-based architecture for COVID-19 lesion segmentation in chest X-ray Multimedia Systems(SCI, IF-3.9) Journal 2023
5 Tarun Agrawal, Prakash Choudhary, Achyut Shankar, Prabhishek Singh, Manoj Diwakar MultiFeNet: Multi-scale feature scaling in deep neural network for the brain tumor classification in MRI images International Journal of Imaging Systems and Technology(SCI, IF-3.3) Journal 2023
6 Prakash Choudhary and Sumit Chauhan An Intelligent Chatbot Design and Implementation Model Using Long Short-Term Memory with Recurrent Neural Networks and Attention Mechanism Decision Analytics Journal(Scopus) Journal 2023
7 Sourav Mondal, Prakash Choudhary and Priyanka Rathee Detection of Cardiac Abnormalities from 12-Lead ECG Using Complex Wavelet Sub-Band Features Biomedical Physics & Engineering Express(SCI. IF-1.6) Journal 2024
8 M Sheetal Singh, Prakash Choudhary, Khelchandra Thongam, P K Bhagat An integrated machine learning approach for Congestive Heart Failure prediction. Special Issue on "Artificial Intelligence in Medical Image Processing and Disease Diagnosis" under Diagnostics Journal (SCI, IF-3.7) Journal 2024
9 Tarun Agrawal; Prakash Choudhary; Vijay Kumar A Comparative Study of Brain Tumor Classification on Unbalanced Dataset using Deep Neural Networks Biomedical Signal Processing and Control (SCI, IF-5.1) Journal 2024
10 Saurabh, Prakash Choudhary, Priyanka and Tarun Agrawal HCN: Hybrid capsule network for fetal plane classification in ultrasound images International Journal of Imaging Systems and Technology(SCI, IF-3.3) Journal 2024
11 Sourav Mondal, Prakash Choudhary and Priyanka Rathee Robust classification model for identifying stroke patients utilising a machine learning-based ensemblestacking method Engineering Research Express((SCI. IF-1.6) Journal 2025
12 Nidhi Parashar, Prakash Choudhary, Vijay Kumar & Tarun Agrawal Enhanced residual-attention deep neural network for disease classification in maize leaf images Scientific Reports(SCIE, Impact Factor 3.9) Journal 2025
13 M Sheetal Singh, Khelchandra Thongam, Prakash Choudhary and P K Bhagat Stroke Risk Prediction and Prevention: Traditional vs Machine Learning Approaches Archives of Computational Methods in Engineering (SCIE, Impact Factor 12.1) Journal 2025
14 M Sheetal Singh, Prakash Choudhary and Khelchandra Thongam HMLA: A Hybrid Machine Learning Approach for Enhancing Stroke Prediction Models with Missing Data Imputation Techniques Scientific Reports(SCIE, Impact Factor 3.9) Journal 2025

Attended

 

 

Organized

  • Deep Learning and Applications, National Institute of Technology Hamirpur (27/05/2019 to 31/05/2019)
  • High Intensity Industrial in-house training (HIIT) programme on the Internet of Things (IoT), National Institute of Technology Manipur (28/10/2018 to 01/11/2018)
  • Machine Learning with Python, National Institute of Technology Manipur (02/12/2018 to 12/12/2018)
  • Deep Learning and Applications, National Institute of Technology Manipur (12/03/2018 to 16/03/2018)
  • Computer Vision and Image Processing, National Institute of Technology Manipur (01/12/2018 to 05/12/2018)
  • Data Science & Business Analytics with Machine Learning, (National Institute of Technology Manipur (22/01/2018 to 23/01/2018)