Dr. Rekh  Ram Janghel

Department Information Technology
Designation Assistant Professor
Educational Qualification BE(IT), M.Tech (NIT Raipur) , Ph.D.(IT) (ABV-IIITM Gwalior)
E-Mail rrjanghel.it@nitrr.ac.in
Contact Number 9424126173
Areas of Interest

Computational Intelligence Techniques, Deep Learning , Machine Learning, Soft Computing,  Image Processing,

Publications

 

Patent Granted Details

  1. Smart Bathroom System and Method, Patent number: 2021100780,  Australian Government/ IP Australia, 9 feb2021 -7 April 2021,  Rekh Ram Janghel, Assistant Professor, National Institute of Technology Raipur 492010 India, et al.


INTERNATIONAL JOURNAL PUBLICATIONS:

  1. Ram Nivas Giri, Rekh Ram Janghel, Saroj Kumar Pandey (2023), "Band Selection using Hybridization of Particle Swarm Optimization and Crow Search Algorithm for Hyperspectral Data Classification”, MULTIMEDIA TOOLS AND APPLICATIONS, SPRINGER , NETHERLANDS, ISSN / eISSN:1380-7501 / 1573-7721, SCIE, Published 05 sep 2023 DOI 10.1007/s11042-023-16638-6,

  2. Pratik Gopal Angaitkar, Rekh Ram Janghel, Tirath Prasad Sahu (2023), "Inferring Linear-B Cell Epitopes Using 2-Step Metaheuristic Variant-Feature Selection Using Genetic Algorithm", Scientific Reports, Scientific Reports (Sci Rep) SPRINGER , ISSN / eISSN  2045-2322 , ISSN 2045-2322 (online), impact factor: 4.996  SCIE, , DOI 10.1038/s41598-023-41179-1, https://doi.org/10.1038/s41598-023-41179-1     Publication Date 2023-09-05, Germany

  3. Pratik Gopal Angaitkar, Rekh Ram Janghel, Tirath Prasad Sahu (2023), “DL-TCNN: Deep Learning based Temporal Convolutional Neural Network for Prediction of Conformational B-Cell Epitopes,  3 Biotech,SPRINGER , GERMANY, ISSN / eISSN:2190-572X / 2190-5738 SCIE (Accepted)  24 July 202 3, IF 3.1 

  4. Pratik Gopal Angaitkar, Rekh Ram Janghel, Tirath Prasad Sahu  (2023), “gHPCSO: Gaussian Distribution Based Hybrid Particle Cat Swarm Optimization for Linear B-Cell Epitope Prediction” International Journal of Information Technology, Springer Nature, ISSN:2511-2104E-ISSN:2511-2112 Scopus May 15, 2023, 12:53 PM ESCI

  5. Saroj Kumar Pandey, Rekh Ram Janghel, (2023) “Detection of Arrhythmia Heartbeats from ECG Signal Using Wavelet Transform Based CNN Model” International Journal of Computational Intelligence Systems,Volume16 Issue 1 Pages 80 Publisher Springer Netherlands  Published11 May 2023, 

     https://doi.org/10.1007/s44196-023-00256-

  6. Yogesh Kumar Rathore, Rekh Ram Janghel, Saroj Kumar Pandey, Chetan Swarup, Saroj , Ankit Kumar, Kamred Udham Singh, and Teekam Singh, (2023) ” Detection of Rice Plant Disease from RGB and Gray Scale Images using LW17DeepLearningModel” ELECTRONIC RESEARCH ARCHIVE,  Publisher: AMER INST MATHEMATICAL SCIENCES-AIMS , PO BOX 2604, SPRINGFIELD, United States, MO, 65801-2604 ISSN / eISSN: 2688-1594, SCIE, Published: 14 March 2023, Volume 31, Issue 5, 2813–2833,  DOI: 10.3934/era.2023142, IF: 1.604 Published: 14 March 2023

  7.  Kranti.Kumar Dewangan, Satya Prakash Sahu, and Rekh Ram Janghel, (2022)" Enhanced deep learning frame model for an accurate segmentation of cancer affected part in breast”,  https://doi.org/10.1002/cpe.7379 Concurrency Computat Pract Exper. 2022;e7379. wileyonlinelibrary.com/journal/cpe © 2022 John Wiley & Sons,

  8. Sudeepa Das, Tirath Prasad Sahu, and Rekh Ram Janghel , (2022)  " Oil and gold price prediction using optimized fuzzy inference system based extreme learning machine”  ELSEVIER SCI LTD , THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD, ENGLAND, OXON, OX5 1GB ISSN / eISSN  Impact Factor  8.222 Available online 17 November 2022, 103109

    https://doi.org/10.1016/j.resourpol.2022.103109, 

  9. Yogesh Kumar Rathore, Rekh Ram Janghel, Saroj Kumar Pandey, Ankit Kumar, Kamred Udham Singh, Mohd Asif Shah, (2022) "A Novel AI-Based Approach for Better Segmentation of the Fungal and Bacterial Leaf Diseases of Rice Plant", Journal of Sensors, vol. 2022, Article ID 6871085, 12 pages, 2022. https://doi.org/10.1155/2022/6871085 , LONDON, ENGLAND, ISSN / eISSN:1687-725X / 1687-7268, SCIE Hindawi

  10.  Saroj Kumar Pandey, Rekh Ram Janghel, (2022) "Automated Epilepsy Seizure Detection from EEG Signal based on Hybrid CNN and LSTM model", Saroj Kumar Pandey, Rekh Ram Janghel, (2022) Signal, Image and Video Processing, 01 August 2022 https://doi.org/10.1007/s11760-022-02318-9, Springer-Verlag London Ltd., part of Springer Nature 2022, SCIE Indexed), ISSN / eISSN: 1863-1703 / 1863-1711

  11. Saroj Kumar Pandey,Rekh Ram Janghel, (2022) “Machine Learning based COVID -19 disease recognition using CT Images of SIRM Database” in JOURNAL OF MEDICAL ENGINEERING & TECHNOLOGY,  TAYLOR & FRANCIS LTD , England, ISSN / eISSN: 0309-1902 / 1464-522X,  (Scops) online: 31

    May 2022 https://doi.org/10.1080/03091902.2022.2080883 , PP -14, 

  12. Lokesh Singh, Rekh Ram Janghel, and Satya Prakash Sahu (2022) “A Boosting-based Transfer Learning Method to Address Absolute-Rarity in Skin Lesion Datasets and Prevent Weight-Drift for Melanoma Detection” in Data Technologies and Applications , EMERALD GROUP PUBLISHING LTD  , ENGLAND , ISSN / eISSN: 2514-9288 / 2514-9318  https://doi.org/10.1108/DTA-10-2021-0296 
  13. Lokesh Singh, Rekh Ram Janghel, and Satya Prakash Sahu (2022) “An Empirical Review on Evaluating the Impact of Image Segmentation on the Classification Performance for Skin Lesion Detection” in  IETE Technical Review" , TAYLOR & FRANCIS LTD , England, (SCIE) Impact Factor 2.200 (2020) https://doi.org/10.1080/02564602.2022.2068681, 
  14. Kranti Kumar Dewangan, Deepak Kumar Dewangan, Satya Prakash Sahu, and Rekh Ram Janghel (2022)" Breast cancer diagnosis in an early stage using novel deep learning with hybrid optimization technique”, MULTIMEDIA TOOLS AND APPLICATIONS, Multimed Tools Appl (2022), pp 1-26, 25 February 2022,  https://doi.org/10.1007/s11042-022-12385-2, ISSN / eISSN  1380-7501 / 1573-7721   , Springer US, (SCIE)

  15. Mangesh Ramaji Kose, M. K. Ahirwal and   Rekh Ram Janghel ,(2022) " Principal and independent component-based analysis to enhance adaptive noise canceller for electrocardiogram signals",  International Journal of Biomedical Engineering and Technology (IJBET), Vol. 38, No. 1, pp 1-28, 2022 , DOI:10.1504/IJBET.2022.10045071  ISSN: 1752-6418  ,eISSN: 1752-6426

  16. Lokesh Singh, Rekh Ram Janghel and Satya Prakash Sahu (2021), “A Hybrid Feature Fusion Strategy for Early Fusion and Majority Voting for Late Fusion Towards Melanocytic Skin Lesion Detection” in International Journal of Imaging Systems and Technology, Impact factor:2.0, © Wiley Periodicals, LLC. ID IMA-21-434.R1, December, 2021,https://doi.org/10.1002/ima.22692 
  17. Lokesh Singh,  Rekh Ram Janghel and Satya Prakash Sahu (2021), “      SLICACO: An Automated Novel Hybrid Approach for Dermatoscopic Melanocytic Skin Lesion Segmentati on” International Journal of Imaging Systems and Technology, SCIE,ISSN / eISSN:0899-9457 / 1098-1098, Impact factor:1.925, 2021 ;PP 1–17,  https://doi.org/10.1002/ima.22591
  18. Lokesh Singh,  Rekh Ram Janghel, and Satya Prakash Sahu (2021) “A Deep Learning-Based Transfer Learning Framework for the Early Detection and Classification of Dermoscopic Images of Melanoma” Biomedical and Pharmacology Journal, ISSN:0974-6242  Oriental Scientific Pub. Co .Biomed Pharmacol J (2021);14(3)   pp 1-32 Springer Nature Switzerland AG  Available from: https://bit.ly/3jPFwJc
  19. Sudeepa Das, Tirath Prasad Sahu, and Rekh Ram Janghel   (2021), Stock Market Forecasting using Intrinsic Time-Scale Decomposition in fusion with Cluster based Modified CSA Optimized ELM, Journal of King Saud University - Computer and Information Sciences, SCIE, ISSN / eISSN: 1319-1578 / 2213-1248, ELSEVIER, NETHERLANDS 15 Oct, 2021,  https://doi.org/10.1016/j.jksuci.2021.10.004
  20.  Sudeepa Das, Tirath Prasad Sahu and  Rekh Ram Janghel (2021) "Effective forecasting of stock market price by using extreme learning machine optimized by PSO-based group oriented crow search algorithm" Neural Comput & Applic (2021). https://doi.org/10.1007/s00521-021-06403-x
  21. Sudeepa Das, Tirath Prasad Sahu, and  Rekh Ram Janghel  (2021) , "Optimized Fuzzy based Symbiotic Organism Search algorithm for engineering design problem”, Evolutionary Intelligence, 1864-5909 / 1864-5917 Evol. Intel. (2021)  pp 1-32 https://doi.org/10.1007/s12065-021-00650-6.
  22. Yogesh Kumar Rathore, Rekh Ram Janghel, (2021) "Major Challenges on using Machine Learning and Deep Learning Techniques to Detect Leaf Diseases in Asian Countries", Plant Cell Biotechnology and Molecular Biology" 2021 - Volume 22 [Issue 33-34]  22(33&34),  pp 232-244;  2021  ISSN: 0972-2025, , Manchester, UK, 04 May 2021, https://www.ikprress.org/index.php/PCBMB/article/view/6366  
  23. Saroj Kumar Pandey,Rekh Ram Janghel, (2021) “Classification of electrocardiogram signal using an ensemble of deep learning models ” , Data Technologies and Applications,Emerald Group Publishing Ltd Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/DTA-05-2020-0108.
  24. Saroj Kumar Pandey, Rekh Ram Janghel, (2021) “Automated detection of arrhythmia from electrocardiogram signal based on new convolutional encoded features with bidirectional long-short term memory network classifier” , Physical and Engineering Sciences in Medicine, https://doi.org/10.1007/s13246-020-00965-1, 2021.
  25. Saroj Kumar Pandey,Rekh Ram Janghel, (2021),“Automated arrhythmia detection from raw ECG signal using Stacked Restricted Boltzmann Machine ”Journal SN Applied Sciences Volume 3 Issue 6 Pages 1-10  SN Appl. Sci. 3, 624 (2021). https://doi.org/10.1007/s42452-021-04621-5
  26. Saroj Kumar Pandey, Rekh Ram Janghell,(2020),  "Automatic arrhythmia recognition from electrocardiogram signals using different feature methods with long short-term memory network model”, Springer https://doi.org/10.1007/s11760-020-01666-8, 2020.
  27. Sudeepa Das, Tirath Prasad Sahu and Rekh Ram Janghel, (2020)"PSO based Group oriented Crow Search Algorithm (PGCSA) " International Journal of engineering computation, EMERALD GROUP PUBLISHING LTD,, https://doi.org/10.1108/EC-07-2019-0305, 2020
  28. Lokesh Singh, Rekh Ram Janghel  and Satya Prakash Sahu (2020)“TrCSVM: A Novel Approach for the Classification of Melanoma Skin Cancer using Transfer Learning” in Journal Data Technologies and Applications,  Emerald Group Publishing Ltd,https://doi.org/10.1108/DTA-06-2020-0126 , 2020
  29. Yogesh Kumar Rathore, Rekh Ram Janghel, (2020)  “Deep Convolution Neural Network-Based System for Early Diagnosis of Alzheimer’s Disease ”Innovation and Research in BioMedical engineering , IRBM, doi : https://doi.org/10.1016/j.irbm.2020.06.006.  2020
  30. Mangesh Ramaji Kose, M. K. Ahirwal and Rekh Ram Janghel,(2020) "Descendant Adaptive Filter to Remove Different Noises from ECG Signals", International Journal of Biomedical Engineering and Technology, (IJBET), Vol. 33, No. 3, 2020 pp 258-273 2017 DOI: 10.1504/IJBET.2020.107761, 2020
  31. Saroj Kumar Pandey, Rekh Ram Janghel,(2019) “Automatic detection of arrhythmia from imbalanced ECG database using CNN model with SMOTE”, Australasian Physical & Engineering Sciences in Medicine, Springer, DOI: 10.1007/s13246-019-00815-9 , 2019
  32. Saroj Kumar Pandey, Rekh Ram Janghel,(2019) “Recent Deep Learning Techniques, Challenges and Its Applications for Medical Healthcare System: A Review”, International journal of Neural Processing Letters, Springer, https://doi.org/10.1007/s11063-018-09976-2  , 2019  
  33. Rekh Ram Janghel, Anupam Shukla, Chandra Prakash Rathore, Kshitiz Verma, and Swati Rathore,(2017) “A comparison of soft computing models for Parkinson’s disease diagnosis using voice and gait features” Int. J. of Network Modeling Analysis in Health Informatics and Bioinformatics, , Springer.https://doi.org/10.1007/s13721-017-0155-8, 2017 
  34. Rekh Ram Janghel, Shukla Anupam and Tiwari Ritu, (2012)"Hybrid Computing Based Intelligent System for Breast Cancer Diagnosis”, International Journal of Biomedical Engineering and Technology, Inderscience Enterprises Ltd , 2012,Volume 10, No 10,  pp 1-18, ISSN online: 1752-6426.UK Online publication date: Sun, DOI: 10.1504/IJBET.2012.049321  2012
  35. Rekh Ram Janghel, Shukla Anupam and Tiwari Ritu, (2011)"Diagnosis of Breast Cancer by Modular Evolutionary Neural Networks”, International Journal of Biomedical Engineering and Technology, Inderscience Enterprises Ltd,  , Vol. 7, No.2 pp. 194 – 211, ISSN online: 1752-6426. UK. https://doi.org/10.1504/IJBET.2011.043179, 2011

    INTERNATIONAL CONFERENCES PUBLICATIONS:

  1. Saroj Kumar Pandey Pankaj Kumar Mishra , Rekh Ram Janghel, Kshitiz Varma "Classification of Brain Tumor Using Convolutional Neural Network in Healthcare," International Conference on AI for Resilient Happy Society, 8th – 9th   January 2022 , Indian Institute of Information Technology Pune, 
  2. Ram Nivas Giri, Rekh Ram Janghel "Classification of Brain tumors from MRI using Deep learning models ," International Conference on AI for Resilient Happy Society 8th – 9th  January 2022 , Indian Institute of Information Technology Pune. 
  3. Yogesh Kumar Rathore ,Rekh Ram Janghel, "Detection of Fungal and Bacterial Leaf Diseases at Early Stage using Deep Neural Network Models " for International Conference on AI for Resilient Happy Society, 8th – 9th   January 2022 , Indian Institute of Information Technology Pune,
  4. Ishu Garg, Saroj Kumar Pandey, Rekh Ram Janghel and Anupam Shukla, “Classification of electrocardiogram signal using hybrid deep learning techniques”, 3rd   International Conference on Machine Learning, Image Processing, Network Security and Data Sciences (MIND-2021) , 11th  - 12th  December 2021,NIT Raipur, INDIA. 
  5. Rekh Ram Janghel, Saroj Pandey, Aayush Jain, Aditi Gupta and Avishi Bansal, “  Satellite Image Enhancement and Restoration Using RLS Adaptive Filter”,  February,2020 at Shaheed Sukhdev College of Business Studies, University of Delhi, New Delhi.   https://doi.org/10.1007/978-981-16-3071-2_49 
  6. Anil K. Pandey, Rekh Ram Janghel , R. Sujathab, S. Sathish Kumarb, T. Sangeeth Kumar b,Jyotir Moy Chatterjeec, “CoronaGo Website Integrated with Chatbot for COVID-19Tracking” International Semantic Intelligence Conference 2021 ,Proceedings of the International Semantic Intelligence Conference 2021 (ISIC 2021)New Delhi, India, February 25-27, 2021.    http://ceur-ws.org/Vol-2786/Paper62.pdf   
  7. Simarjeet Singh and Rekh Ram Janghel , “ “Classification and Diagnosis of Alzheimer’s Disease from ADNI Dataset Using RBM Classifier”, , 4th International Conference on Innovative Computing and Communication (ICICC-2021), 20-21 February,2021 at Shaheed Sukhdev College of Business Studies, University of Delhi, New Delhi.https://doi.org/10.1007/978-981-16-2597-8_44
  8. Simarjeet Singh and Rekh Ram Janghel , “Early Diagnosis of Alzheimer’s Disease using ACO Optimized Deep CNN Classifier”, International Conference on Ubiquitous Computing and Intelligent Information Systems, ICUIS 2021 | 16-17, April 2021, Shree Venkateshwara Hi-Tech Engineering College, Erode, India. https://doi.org/10.1007/978-981-16-3675-2_2
  9. Rathore Y.K. ,  Rekh Ram Janghel & Singh S., “Prediction of Diseases from Infected Leaves of Indian Crops, Vegetables and Fruits Using Machine Learning Techniques: Recent Trends And Challenges” “2nd  International Conference on Recent Trends in Renewable Energy and Sustainable Development-2020”., 30th -31st  Jan’2020 organized by TEQIP and BIT Raipur and CSVTU Bhilai. 
  10. Rishu Garg and Rekh Ram Janghel et all “Enhancing Learnability of classification algorithms using simple data preprocessing in fMRI scans of Alzheimer’s disease”, International Conference on Automation, Signal Processing, Instrumental on and Control, 27-28  February 2020 at Vellore Institute of Technology (VIT) - Vellore, India. Springer                       eprint arXiv:1912.04453
  11. Sudesh Kumar,  Rekh Ram Janghel and Satya Prakash Sahu , "Epileptic Seizure Detection using Machine Learning Techniques", 3rd  International Conference on Innovative Computing and Communication (ICICC-2020) , 21-23 February,2020 at Shaheed Sukhdev College of Business Studies, University of Delhi, New Delhi.  Advances in Intelligent Systems and Computing, vol 1166. Springer, Singapore. Published 2012 - 2021 pp 255-266 https://doi.org/10.1007/978-981-15-5148-2_23  
  12. Akhila Krishna, Satya Prakash Sahu, Rekh Ram Janghel ,  Bikesh Kumar Singh ,”Speech parameter and deep learning-based approach for the detection of Parkinson’s disease “International Conference on Sentimental Analysis and Deep Learning (ICSADL-2020)”, KGiSL Institute of Technology, Coimbatore, 2-3, April 2020 publish the proceedings with Springer.
  13. Sudesh Kumar,  Rekh Ram Jangheland Satya Prakash Sahu ,“Convolutional Neural Network for Seizure Detection using Scalp Electroencephalogram (EEG), 6th  International Conference on Recent Trends in Computing (ICRTC 2020)” ICRTC 2020 on 3rd - 4th July 2020 to be held at Department of Computer Science & Engineering, SRM Institute of Science and Technology, Delhi-NCR Campus,   https://doi.org/10.1007/978-981-33-4501-0_40
  14. Rekh Ram Janghel, Archana Verma and Yogesh Kumar Rathore “Performance      Comparison of Machine Learning Techniques for Epilepsy Classification and   Detection in EEG Signal”, in 3rd  International Conference on Data Management, Analytics & Innovation   (ICDMAI-2019),Kuala Lumpur, Malaysia, 18th  - 20th  January, Springer.   2019,  https://doi.org/10.1007/978-981-32-9949-8_29
  15. Lokesh Singh, Rekh Ram Janghel, Satya Prakash Sahu and Chandra Prakash Rathore. “Classification and Detection of Breast Cancer using Machine Learning” International Conference On Social Networking and Computational Intelligence (Sci-2k18) 8th  and 9th  March, 2019, RGPV Bhopal    https://doi.org/10.1007/978-981-15-2071-6_22
  16. Saroj Pandey,  Rekh Ram Janghel, Vineetha Reddy Sodum and Anamika Raj, “ECG Arrhythmia Detection with Machine Learning Algorithms” in 3rd International Conference on Data Engineering and Communication Technology (ICDECT), March 15 & 16, 2019 at  Stanley College of Engineering and  Technology for Women Hyderabad, Telangana, India https://doi.org/10.1007/978-981-15-1097-7_34,
  17. Rekh Ram Janghel and S. k. Pandey, "Classification and Detection of Arrhythmia in ECG Signal Using Machine Learning Techniques," 2019 16th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications, and Information Technology (ECTI-CON),10-13 July 2019 Pattaya, Chonburi, Thailand, 2019, pp. 101-104, doi: 10.1109/ECTI-CON47248.2019.8955208
  18. Rekh Ram Janghel, Saroj Pandey and Vyom Bani “Patient specific machine learning models for ECG signal classification" in International Conference in Computational Intelligence and Data Science (ICCIDS 2019) during 06-07 Sept, 2019 held at The Northcap University Gurugram.  https://doi.org/10.1016/j.procs.2020.03.269
  19.  Rekh Ram Janghel , Lokesh Singh and Satya Prakash Sahu “Designing a retrieval based diagnostic aid using effective features to classify skin lesion in Dermoscopic Images” in International Conference in Computational Intelligence and Data Science (ICCIDS 2019) during 06-07 Sept, 2019 held at The Northcap University Gurugram.   https://doi.org/10.1016/j.procs.2020.03.267  
  20. Pandey, Saroj Kumar.,  Rekh Ram Janghel" A Survey on Missing Information Strategies and Imputation Methods in Healthcare" 8th International Conference On Cloud Computing, Data Science & Engineering  11-12 January 2018, , IEEE, pp 299 – 304, 2018 . DOI: 10.1109/CONFLUENCE.2018.8442884. 
  21. Avisha Jaiswal, Saurabh Pathak, Yogesh Kumar Rathore and  Rekh Ram Janghel, and Yogesh Kumar Rathore “Detection of Disease from Leaf of Vegetables and Fruits Using​​ Deep Learning Technique”, in 1st  International Conference on Biomedical Engineering Science and Technology: Roadway from Laboratory to Market (ICBEST 2018) on 20th  and 21st  December, 2018, NIT Raipur
     https://doi.org/10.1007/978-981-15-6329-4_18
  22. Archana Verma and Rekh Ram Janghel , “ Epileptic Seizure Detection      using Deep Recurrent Neural Networks in EEG Signals”, in 1st  International Conference on Biomedical Engineering Science and Technology: Roadway from Laboratory to Market (ICBEST 2018) on 20th  and 21st  December, 2018, NIT Raipur https://doi.org/10.1007/978-981-15-6329-4_17
  23. Lokesh Singh, Rekh Ram Janghel and Satya Prakash Sahu. “Automated CAD System for Skin Lesion Diagnosis: A Review” 1st International Conference on Biomedical Engineering Science and Technology: Roadway from Laboratory to Market (ICBEST 2018), 20th  and 21st  December, 2018, NIT Raipur
     https://doi.org/10.1007/978-981-15-6329-4_26
  24. Lokesh Singh, Rekh Ram Janghel and Satya Prakash Sahu. “Classification of Hepatic Disease using machine Learning Algorithms” 1st International Conference on Biomedical Engineering Science and Technology: Roadway from Laboratory to Market (ICBEST 2018), 20th   and 21st  December, 2018, NIT Raipur https://doi.org/10.1007/978-981-15-6329-4_15  
  25. Mayank Sharma Aishwarya Bhave, and  Rekh Ram Janghel,” White Blood Cell Classification Using Convolutional Neural Network”, (ICSCSP2k18) International Conference on Soft Computing and Signal Processing, MALLA REDDY COLLEGE OF ENGINEERING & TECHNOLOGY, HYDERABAD, India, June 22-23, 2018
    https://doi.org/10.1007/978-981-13-3600-3_13
  26. Aishwarya Bhave, Mayank Sharma, and Rekh Ram Janghel ,”Music Generation using Deep Learning”, (ICSCSP2k18) International Conference on Soft Computing and Signal Processing, MALLA REDDY COLLEGE OF ENGINEERING & TECHNOLOGY, HYDERABAD, India, June 22-23, 2018
      https://doi.org/10.1007/978-981-13-3393-4_21 
  27. Singh, Shraddha., Pandey, Saroj Kumar., Pawar, Urja.,  Rekh Ram Janghel" Classification of ECG Arrhythmia using Recurrent Neural Networks" International Conference On Computational Intelligence and Data Science (ICCIDS2018, 7-8  April, Elsevier, Procedia Computer Science 132 (2018) 1290–1297, https://doi.org/10.1016/j.procs.2018.05.045.
  28. Pandey, Saroj Kumar.,  Rekh Ram Janghel" ECG Arrhythmia Classification Using Artificial Neural Networks" 2nd International Conference on Communication, Computing and Networking will be held during March 29-30, 2018 organized by NITTTR, Chandigarh, pp 645-652, 2018,
     https://doi.org/10.1007/978-981-13-1217-5_63
  29. Singh Lokesh, Rekh Ram Janghel, “Image Denoising Techniques: A Brief Survey”, 4th  International Conference on Harmony search, Soft Computing and Applications, February 7-9, 2018, BML Munjal University Gurgaon, India, Harmony Search and Nature Inspired Optimization Algorithms pp 731-740,2018
    https://doi.org/10.1007/978-981-13-0761-4_70
  30. Rekh Ram Janghel, Sahu S.P., Tatiparti G., Kose M. (2019)" Noise Removal from Epileptic EEG signals using Adaptive Filters", International Conference on Machine Intelligence and Signal Processing (MISP 2017),December 22-24, 2017 at IIT Indore, India,https://doi.org/10.1007978-981-13-0923-6_4,
  31. Rekh Ram Janghel, Kose, M. R., and Ahirwal, M. K. “Application of Adaptive Filter to Remove Different Noises from ECG Signals” IEEE World Congress on Industrial Control Systems Security (WCICSS 2017) December 11 - 14, pp 49-54, 2017, Cambridge University, UK - United Kingdom.
  32. Kuhu Gupta, and  Rekh Ram Janghel “Dimensionality Reduction Based Breast Cancer Classification Using Machine Learning” 2017 International Conference on Computational Intelligence: Theories, Applications and Future Directions (ICCI-2017) December 6th - 8th, 2017 Indian Institute of Technology Kanpur, India,
  33. Rekh Ram Janghel, Pandey, Saroj Kumar. "A Classification of ECG Arrhythmic analysis using machine learning approach" International Conference On Recent Advances & Applications in Computer Engineering (RAACE), 2017 ,  November 23-25, 2017, St. Xavier's College, Jaipur   Springer https://doi.org/10.1007/978-981-32-9585-8_7
  34. Kuhu Gupta, and Rekh Ram Janghel “ Public Health Facilities of Chhattisgarh: A Spatial Exploration Using Geo-Visualization” (SCESM 2017) 2nd     International Conference on Sustainable Computing Techniques in Engineering, Science and Management (SCESM 2017) January 27-28Belagavi, Karnataka, India  , 2017. https://doi.org/10.1007/978-981-13-1132-1_11
  35. Rekh Ram Janghel, Shukla Anupam and Kshitj Verma, “Soft Computing Based Expert System for Hepatitis and Liver Disorders”, 2nd IEEE International Conference on Engineering and Technology (ICETECH 2016), 17th & 18th March 2016, Coimbatore, TN, India.DOI: 10.1109/ICETECH.2016.7569346
  36. Rekh Ram Janghel, Shukla Anupam and Sanjeev Sharma, “Evolutionary Ensemble Model for Breast Cancer Detection”, Fifth International Conference on Swarm Intelligence (ICSI’2014) (IEEE Conference No. 34261), Beijing, China, Springer-Verlag Berlin pp 8-16. 17-20 Oct, 2014.
  37. Rekh Ram Janghel, A. Shukla, R. Tiwari and R. Kala, “Breast Cancer Diagnostic System using Symbiotic Adaptive Neuro-evolution (SANE)”, Proceedings of the 2010 IEEE International Conference of Soft Computing and Pattern Recognition, Cercy Pontoise/Paris, France, 2010, pp 326-329. December 7-10.  DOI: 10.1109/SOCPAR.2010.5686161
  38. Rekh Ram Janghel, Shukla Anupam and Tiwari Ritu, “Breast Cancer Diagnosis using Artificial Neural Network Models”,3rd International Conference on Information Sciences and Interaction Sciences, Chengdu, China, June 23-25, 2010, pp 89-94.
  39. Rekh Ram Janghel, Shukla Anupam and Tiwari Ritu, “Intelligent Decision Support System for Breast Cancer”, International Conference on Swarm Intelligence, ICSI 2010, Springer-Verlag Berlin Heidelberg Part II, LNCS 6146 2010, Beijing, China, 12-15 June 2010, pp. 351–358.   
  40. Rekh Ram Janghel, Shukla Anupam, Tiwari Ritu and Kaur Prabhdeep, “Diagnosis of Thyroid Disorders using Artificial Neural Networks”, 2009 IEEE International Advance Computing Conference (IACC 2009), Patiala, India, 6–7March 2009, pp 2722-2726.DOI: 10.1109/IADCC.2009.4809154
  41. Rekh Ram Janghel, Shukla Anupam, Tiwari Ritu and Pritesh Tiwari, “Clinical Decision support system for fetal Delivery using Artificial Neural Network”, 2009 (NISS) IEEE International Conference on New Trends in Information and Service Science, Beijing, China, June 30 – July 2, 2009, pp 1070-1075.   DOI Bookmark:10.1109/NISS.2009.66
  42. Rekh Ram Janghel, Shukla Anupam, and Tiwari Ritu, “Decision Support System for Fetal Delivery using Soft Computing Techniques”, 2009 Fourth International Conference on Computer Sciences and Convergence Information Technology, Seoul, Korea, 24-26 November 2009, pp 1514-1519.  DOI: 10.1109/ICCIT.2009.323
  43. Rekh Ram Janghel, Kala Rahul, Shukla Anupam, Rungta Sourabh and Tiwari Ritu, “Mobile robot navigation control in moving obstacle environment using genetic algorithm, artificial neural networks and A* algorithm” 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009 4, 5171088, pp. 705-713. DOI: 10.1109/CSIE.2009.854

BOOK Published: 

1.  Rekh Ram Janghel, Rohit Raja, Korhan Cengiz, Hiral Raja Edited By book on   “Next Generation Healthcare Systems Using Soft Computing Techniques”,  published by CRC Press Edition1st Edition ,First Published 2022, eBook Published21 September 2022, Pub. Location, Boca Raton ,Imprint CRC Press , Pages224, eBook ISBN9781003217091 DOIhttps://doi.org/10.1201/9781003217091

2

 

BOOK CHAPTER PUBLISHED:

  1. Sudesh Kumar, Rekh Ram Janghel and Satya Prakash (2022)  “Classification of EEG Signals for Detection of Epileptic Seizure using Restricted Boltzmann Machine Classifier” in Data Mining Technologies using Machine Learning Algorithms (DMTMLA-2020) Book Editor(s):Rohit Raja,Kapil Kumar Nagwanshi,Sandeep Kumar,K. Ramya Laxmi published by Wiley Press, Pages 397-421,  28 January 2022, 2022/2/24  

    https://doi.org/10.1002/9781119792529.ch15  

  2. Lokesh Singh, Rekh Ram Janghel, Satya Prakash Sahu(2022), An Epileptic Seizure Detection and Classification Based on Machine Learning Techniques, Book: Janghel, R.R., Raja, R., Cengiz, K., & Raja, H. (Eds.). (2022). Next Generation Healthcare Systems Using Soft Computing Techniques (1st ed.). CRC Press. https://doi.org/10.1201/9781003217091, 21 September 2022 

  3. Yogesh Kumar Rathore, Rekh Ram Janghel, (2022) Prediction of Stage of Alzheimer's Disease DenseNet Deep Learning Model, Book: Janghel, R.R., Raja, R., Cengiz, K., & Raja, H. (Eds.). (2022). Next Generation Healthcare Systems Using Soft Computing Techniques (1st ed.). CRC Press. https://doi.org/10.1201/9781003217091, 21 September 2022 

  4. Saroj Kumar Pandey, Rekh Ram Janghel , Shubham Shukla, Yogadhar Pandey (2022), Analysis of Coronary Artery Disease Using Various Machine Learning Techniques,  Book: Janghel, R.R., Raja, R., Cengiz, K., & Raja, H. (Eds.). (2022). Next Generation Healthcare Systems Using Soft Computing Techniques (1st ed.). CRC Press. https://doi.org/10.1201/9781003217091,  21 September 2022

  5. Rekh Ram Janghel and Saroj Kumar Pandey, (2021)“Cardiac arrhythmia detection and classification from ECG signals using XGBoost classifier”  in Machine Learning Algorithms: Theory and Applications, Authors Mettu Srinivas, G. Sucharitha, Anjanna Matta, ISBN 1119768853,9781119768852, doi/10.1002/9781119769262.ch8
  6. Pandey S.K., Janghel R.R., Varma K. (2020) “Classification of ECG Heartbeat Using Deep Convolutional Neural Network”. In: Rout J., Rout M., Das H. (eds) Machine Learning for Intelligent Decision Science. Algorithms for Intelligent Systems, Springer, Singapore, 03 April 2020, https://doi.org/10.1007/978-981-15-3689-2_2  
  7. Rekh Ram Janghel, Saroj Kumar Pandey, Archana Verma, Kshitiz Varma and Pankaj Kumar Mishra, (2020)“Automated epilepsy seizure detection from EEG signals using CNN Deep Learning” in Advancement in Artificial Intelligence, Machine learning in 2D/3D Medical Image Processing" in CRC Press, Taylor & Francis Group Chapter 2 PP 15-26,https://books.google.co.in/books?id=HdwKEAAAQBAJ 
  8. Rekh Ram Janghel,and Saroj Kumar Pandey, Pankaj Kumar Mishra, Kshitiz Varma,Prashant Kumar, and Saurabh Dewangan (2020) “PSO based optimized Machine Learning Algorithms for Prediction of Alzheimer’s Disease” in CRC Press,  Taylor & Francis Group , Chapter 9 PP 31-141, https://books.google.co.in/books?id=HdwKEAAAQBAJ 
  9. Rekh Ram Janghel, Yogesh Kumar Rathore, Gautam Tatiparti (2019)"Epileptic Seizure Detection and Classification using Machine Learning," contributed in book: "Early Detection of Neurological Disorders Using Machine Learning systems" published by IGI Global, Hershey, Pennsylvania 17033-1240, USA.   DOI: 10.4018/978-1-5225-8567-1         https://www.igi-global.com/book/early-detection-neurological-disorders-using/218302
  10. Rekh Ram Janghel, Satya Prakash Sahu, Yogesh Kumar Rathore, Shraddha Singh, Urja Pawar  , (2019) “Applications of Deep Learning in Speech Recognition” is contributed in “Handbook of Research on Deep Learning Innovations and Trends” published by IGI Global, Hershey, Pennsylvania 17033-1240, USA 2019.DOI: 10.4018/978-1-5225-7862-8 https://www.igi-global.com/chapter/application-of-deep-learning-in-speech-recognition/227844
  11. Rekh Ram Janghel,(2018) “Deep-Learning-Based Classification and Diagnosis of Alzheimer’s Disease”, “Feature Dimension Reduction for Content-Based Image Identification”, IGI Global, 2018, chapter 11, pp 193-217, DOI: 10.4018/978-1-5225-5775-3.ch011 DOI:10.4018/978-1-5225-5775-3 https://www.igi-global.com/chapter/deep-learning-based-classification-and-diagnosis-of-alzheimers-disease/237939
  12. R. R. Janghel, Shukla Anupam and Tiwari Ritu, (2009)“Breast Cancer: A Technological Review”, “INTELLIGENT MEDICAL TECHNOLOGIES AND BIOMEDICAL ENGINEERING: TOOLS AND APPLICATIONS”, IGI Global, 2009, chapter 4, pp 79-99, DOI: 10.4018/978-1-61520-977-4.CH004.

    https://www.igi-global.com/chapter/breast-cancer-technological-review/43250

  13. R. R. Janghel, Shukla Anupam and Tiwari Ritu, (2009)“Intelligent Decision Support System for Fetal Delivery Using Soft Computing Techniques, BIOMEDICAL ENGINEERING AND INFORMATION SYSTEMS: TECHNOLOGIES, TOOLS AND APPLICATIONS”, IGI Global, 2009, chapter 7, pp 145-161. DOI: 10.4018/978-1-61692-004-3.    https://www.igi-global.com/chapter/intelligent-decision-support-system-fetal/43297

 

 

Thesis Guided (Ph.D.)

S. N

Name of student

Broad area of research

Admission/Status/Completed

Remarks

 

 

1

Mr. Chandra Prakash Rathore

 Expert System for Diagnosis of Parkinson Disease Using Soft Computing Methods and Their Comparison

2014  - 2018

Completed

11.07.2019 

Joint

 

 

2

Mr. Saroj Kumar Pandey

 (16318002)

Deployment and Simulation of Deep Learning Models for Cardiovascular Disease Diagnosis in Healthcare Systems

2016  -   2021

Completed

18.10.2021

Sole

 

 

3

Mr. Lokesh Singh (17318003)

Computer-Aided Diagnosis System for Melanoma using Machine Learning Techniques in Dermoscopic Images

2017   -   2022

Completed

10.03.2022

 

Main

 

 

4

Mr. Yogesh Kumar Rathore

 (17318007)  

Classification of Fungal and Bacterial Leaf Diseases of Rice Plant in Chhattisgarh State using Machine Learning Techniques

2017-Submitted

Sole

 

 

5

Mr. Kranti Kumar Dewangan (18318005)  

A Deep Learning and Heuristic-based approach for Detecting the Breast Cancer in Earlier Stages

2018-

 

As joint

 

6

Ms. Sudeepa Das (19318013)

Improved Metaheuristic based Machine Learning Techniques for Stock Market Forecasting

2019  -   2022

Completed

16.09.2022

As joint

 

7

Mr. Pratik Gopalrao Angairkar (19318009)

Towards the design of an effective framework for protein sequence analysis using AI based approach

2019-

 

Main

 

8

Mr. Ram Nivas Giri (20318004)

Design and development of Machine learning-based techniques for analysis and classification of Hyperspectral data

2020-

 

Sole

9

Mr. Sushil Janardan  

Image Processing and Deep Learning

2023-

Sole

 

 

 

 

 

 

 

Thesis Guided (M.Tech.)

S. No.

Name of student

Broad area of research/Title

Status

Joint

1

Ritik Raju Mohite

(22265010) 

HSI

2024

 

2

Prithvi Raj Kumar

(21265014) 

HSI Classification and Pan sharpening Using Machine Learning and Deep Learning 

2023

 

3 

Varun Pramod Bhartiya
(20265022) 

Rice Leaf Disease Prediction Using
Deep Learning 

2022

 

4 

Simarjeet Singh  19265018 

Hybrid Deep Learning based system for Alzheimer’s Disease 

2021

 

5

Sudesh Kumar

18265016

Hybrid Deep Learning based system for Epileptic Seizure detection using EEG Signal

2020

Dr. S.P.Sahu.

6

Akhila Krishna

18265001

Speech Parameter and Deep Learning based Approach for the Detection of Parkinson's disease

2020

Dr. S.P.Sahu.

7

Archana Verma 17265001

Epileptic Seizure detection in EEG Signal using Machine Learning and Deep Learning Techniques

2019

Dr. G.P. Gupta.

8

Shubham Gour

17265016

Framework for Monitoring and Recognition of the Activities for Elderly People from Accelerometer Sensor Data Using Apache Spark.

2019

Dr. G.P. Gupta.

9

Gautam Tatiparti (16265019);

Epileptic Seizure Detection in EEGs using Machine Learning Techniques.

2018

Dr. S.P.Sahu.

10

Priyanka Agrawal (16265013);

Well-Balanced System for Lung Segmentation and Nodule Detection in Computed Tomography Images.

2018

Dr. S.P.Sahu.

11

Mangesh Kose (15265011);

Electrocardiogram Signal Noise Cancellation Using Adaptive Filter;

2017

 

 

Short Term Training Program (STTP)/Workshop Organized:                      

  1. National Workshop on “Deep Learning and Optimization Techniques (DLOT-2020)” From 24th February – 28th February 2020
  2. 2nd Workshop on “Computational Intelligence and Cloud Computing (CICC-2020)”      13th – 17th January 2020.
  3. One Week Self-Sponsored STTP on “Soft Computing Techniques & Robotics” during 16th to 20th  September 2019.
  4. One Week Self-Sponsored STTP on “Soft Computing Techniques & Robotics” during 17th to 21st September, 2018.
  5. One week TEQIP-III sponsored STTP on “Computational Intelligence and Cloud Computing” during 26th  to 30th  December, 2017.
  6. One Week Self-Sponsored STTP on “Logic Building using C and Matlab” during 30th October to 3rd November, 2017.
  7. One Week Self-Sponsored STTP on “Soft Computing Techniques & Robotics” during 4th to 8th September, 2017.
  8. One week TEQIP-II sponsored STTP on “Big Data Processing & Cloud Computing” during 26th to 30th August, 2016.
National or International Conference Organized as Chairman or Secretary.
  1.  3rd International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, 11th - 12th December 2021,NIT Raipur, INDIA, MIND 2021 as Secretary .

Significant outreach Institute out activities

(Examiner, Expert and Committee Member)

Session chair:

  1.  3rd International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, 11th  - 12th  December 2021, NIT Raipur, INDIA, (MIND 2021).
  2. International Conference on Computational Intelligence - ICCI 2021, December 27-28, 2021 Indian Institute of Information Technology (IIIT) Pune & Soft Computing Research Society.

Technical Programme Committee Member  (TPC)  

  1. 5th International Conference on Electronics, Communications and Control Engineering (ICECC 2022) will be held at Fukuoka Institute of Technology, Japan during March 25-27, 2022.
  2. 4th  International Conference on Machine Intelligence and Signal Processing (MISP-2022) March 12th - 14th, 2022 , organized By Department of Computer Science and Engineering,  National Institute of Technology (NIT) Raipur, India.
  3. International Conference on Computationa Intelligence Paradigms  (CLIP 2022)Conference will be held at from 3rd  to 5th ,  August, 2022 by NIT, Tiruchirappalli.
  4. 3rd International Conference on Machine Learning, Image Processing, Network Security and Data Sciences,(MIND) 11th - 12th December 2021,NIT Raipur, INDIA, MIND 2021 
  5. International Conference on Social Networking And Computational Intelligence (SCI-2K19) RGPV Bhopal, MP.

Expert

  1.  Invites as expert for Pre-Ph.D. submission presentation  of  Mr. Vivek Parganiha at BIT Drug on 08.12.2021.
  2. Invited as Expert for Pre-Ph.D. submission presentation at BIT Durg on 25.11.2020.
  3. Member ,Board of studies in department of IT at BIT Durg and meeting on 10.08.2021

  4. Member Board of studies in department of IT at BIT Durg and meeting on 07.11.2020

  5. Appointed as expert member for the valuation of collaborative research project on 04.09.2019 at CSVTU Bhilai.
  6. Member Board of studies ITM University Naya Raipur on 2018 & 27.05.2019.
  7. Expert committee Member of National Central Project Implementation Unit (NPIU) New Delhi, and TEQIP-III for establishment of research hub and academic activity on 03.01.2019 at CSVTU Bhilai.

  8. Ph.D. DRC external Expert member at Dr C V Raman Bilaspur at 5.4.2019.

  9. Invited as expert for Pre-Ph.D. submission presentation at BIT Durg on 24.05.2019.

  10. As a Judge at State Level Hackathon-Navonmesh 2019, in State Level Hackathon-Navonmesh 2019, as a judge on 30.09.2019 and 01.10.2019 program committee, International Conference on IoT and its Applications

  11. Invited as expert at Application of Deep Learning, National Conference on Advance in Computer Science and Information Technology (NCACSIT) 22nd and 23rd February2019 Dr. C V Raman University Bilaspur.

  12. Invited as expert at Deep Learning, Faculty Development Programme on “Data Science & Machine learning” 20-24 December 2018 at Indian Institute of Information Technology (IIIT) Pune, 412109.

Pandey, S.K. and Janghel, R.R. (2021), "Classification of electrocardiogram signal using an ensemble of deep learning models", Data Technologies and Applications, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/DTA-05-2020-0108

Other Info.
    Educational Qualification
  • Ph.D.in 2013 (Information Technology) from ABV- Indian Institute of Information Technology and Management (ABV-IIITM), Gwalior (M.P.), India.   
  • M.Tech. in 2007 (Computer Technology,)   from National Institute of Technology, Raipur.
  • B.E. in 2005  (Information Technology)  from Pt Ravi Shankar University Raipur C.G.
    U.G. / P.G. Course Taught
  • Compiler Design, TOC, Image processing, Soft Computing, Software Engineering, Opretating System, DBMS.
    Professional experience (More than 11 years)

  • Lecturer from 01.07.2007 to 31.07.2008 at NITM Gwalior MP.
  • Assistant Professor from 01.08.2011 to 29.12.2013 at DIMAT, Raipur CG.  
  • Assistant Professor (GP: 8000)  from 30.12.2013 to 12.05.2015 at  SIRTS Bhopal MP.
  • Assistant Professor since 20.05.2015  at Department of Information Technology, NIT Raipur.

https://scholar.google.co.in/citations?hl=en&user=fpSxK_0AAAAJ