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

Deep Learning , Machine Learning, Soft Computing, Biomedical Image / Signal Processing,


Publications

INTERNATIONAL JOURNAL PUBLICATIONS:

  1. 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.
  2. 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.
  3. Saroj Kumar Pandey, Rekh Ram Janghel,(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.
  4. 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
  5. 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
  6. 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.2020.06.0062020
  7. Mangesh Ramaji Kose, M. K. Ahirwal and R. R. 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
  8. 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
  9. 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  
  10. R. R. 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
  11. R.R 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
  12. R. R 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
  13. Mangesh Ramaji Kose, M. K. Ahirwal and R. R. Janghel, " Principal and independent component-based analysis to enhance adaptive noise canceller for electrocardiogram signals", International Journal of Biomedical Engineering and Technology (IJBET) (In Press), 2018

    INTERNATIONAL CONFERENCES PUBLICATIONS:

  1. Rekh Ram Janghel, Saroj Pandey, Aayush Jain, Aditi Gupta and Avishi Bansal, “  Satellite Image Enhancement and Restoration Using RLS Adaptive Filter” , 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.  
  2. Simarjeet Singh and Rekh Ram Janghel , “Restricted Boltzmann Machine Method for Personalized Premature Diagnosis of Alzheimer’s Disease, 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.
  3. 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
  4. Rathore Y.K. , Janghel R.R. & 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. 
  5. 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    
  6. 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  
  7. 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.
  8. Sudesh Kumar, Rekh Ram Janghel and 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,       
  9. 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
  10. 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
  11. 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,
  12. R. R. 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
  13. Rekh Ram Janghel, Saroj Pandey and Vyom BaniPatient 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
  14.  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
  15. Pandey, Saroj Kumar., Janghel, Rekh Ram." 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.
  16. 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
  17. 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
  18. Lokesh Singh, Rekh Ram Janghel and Satya Prakash Sahu. “Automated CAD System for Skin Lesion Diagnosis: A Review1st 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
  19. Lokesh Singh, Rekh Ram Janghel and Satya Prakash Sahu. “Classification of Hepatic Disease using machine Learning Algorithms1st 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
  20. 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
  21. 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
  22. Singh, Shraddha., Pandey, Saroj Kumar., Pawar, Urja., Janghel, Rekh Ram." 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.
  23. Pandey, Saroj Kumar., Janghel, Rekh Ram." 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
  24. Singh Lokesh, Janghel Rekh Ram, “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
  25. Janghel R.R., 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,
  26. Janghel, R.R., Kose, M. R., and Ahirwal, M. K. “Application of Adaptive Filter to Remove Different Noises from ECG SignalsIEEE World Congress on Industrial Control Systems Security (WCICSS 2017) December 11 - 14, pp 49-54, 2017, Cambridge University, UK - United Kingdom.
  27. Kuhu Gupta, and Janghel R.R “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,
  28. Janghel, Rekh Ram., 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
  29. Kuhu Gupta, and Janghel R.R “ 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
  30. Janghel R.R, 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
  31. Janghel R.R, 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.
  32. R. R. 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
  33. Janghel R.R, 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.
  34. Janghel R.R, 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.   
  35. Janghel R.R, 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
  36. Janghel R.R, 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
  37. Janghel R.R, 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
  38. Janghel R.R, 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* algorithm2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009 4, 5171088, pp. 705-713. DOI: 10.1109/CSIE.2009.854

BOOK CHAPTER PUBLISHED:

  1. 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  
  2. 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 
  3. 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 
  4. 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
  5. 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
  6. 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
  7. 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

  8. 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

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.

Key Notes Speaker/Guest/ Special /Expert Lectures Delivered

  1. 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.
  2. Deep Learning, Faculty Development Programme on “Data Science & Machine learning” 20-24 December 2018 at Indian Institute of Information Technology (IIIT) Pune, 412109.
  3. Introduction of Soft Computing Techniques, One Week Self-Sponsored Short-Term Training Program (STTP) on “Soft Computing Techniques & Robotics” during 17th to 21st September, 2018 organized by Department of IT at NIT Raipur, Chhattisgarh.
  4. Machine Learning , One Week Self-Sponsored Short-Term Training Program (STTP) on “Soft Computing Techniques & Robotics during 17th to 21st September, 2018 organized by Department of IT at NIT Raipur, Chhattisgarh.
  5. Application of Machine Learning, TEQIP-III sponsored short Training Programme (STTP) on “Computational Intelligence and Cloud Computing (CICC-2017)”, during 26th to 30th  December, 2017, organized by Department of IT at NIT Raipur, Chhattisgarh.
  6. Neural Network using MATLAB, self sponsored short Training Programme (STTP) on “Soft Computing Techniques & Robotics (SCTR-2017)”, during 4th to 8th  September, 2017, organized by Department of IT at NIT Raipur, Chhattisgarh.
  7. Application of Deep Learning, self sponsored short Training Programme (STTP) on "Nature-inspired Computing and its Applications" during 23rd to 27th Oct, 2017

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.
  • Ph.D.in 2013 (Information Technology) from ABV- Indian Institute of Information Technology and Management (IIITM), Gwalior (M.P.), India.   
  • M.Tech. in 2007 (Computer Technology,)   from National Institute of Technology, Raipur with 79.46 %
  • B.E. in 2005  (Information Technology)  from Pt Ravi Shankar University Raipur C.G. with 74.19 %

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