Dr. Narendra D.  Londhe

Department Electrical Engineering
Designation Associate Professor
Educational Qualification Ph.D. & M.Tech (IIT ROORKEE), B.E. (SSGMCE Shegaon)
E-Mail nlondhe.ele@nitrr.ac.in, ndlondhe.iitr@gmail.com
Contact Number 9039898860
Areas of Interest

Medical Signal & Image Processing, Machine Learning, Pattern Recognition, Medical Ultrasound, Biometrics, Brain-computer interface, Speech Signal Processing, Deep Learning, Biomedical Instrumentation

Publications

PUBLICATIONS

International SCI/SCIE Indexed Journal Publications

  1. Manoranjan Dash, Narendra Digambar Londhe, Subhojit Ghosh, Ritesh Raj and Rajendra Sonawane, “Psoriasis Lesion Detection Using Hybrid Seeker Optimization Based Image Clustering,” Current Medical Imaging, Jan 2021.
  2. Satya Prakash Sahu, Narendra D. Londhe, Shrish Verma, Bikesh K. Singh, Sumit Kumar Banchhor, “Improved pulmonary lung nodules risk stratification in computed tomography images by fusing shape and texture features in a machine‐learning paradigm” International Journal of Imaging Systems and Technology 2020, https://doi.org/10.1002/ima.22539.
  3. Rai, Praveen, Narendra D. Londhe, and Ritesh Raj. "Fault classification in power system distribution network integrated with distributed generators using CNN." Electric Power Systems Research (2020): 106914.
  4. Tekchandani, Hitesh, Shrish Verma, and Narendra Londhe. "Performance improvement of mediastinal lymph node severity detection using GAN and Inception network." Computer Methods and Programs in Biomedicine 194 (2020): 105478.
  5. Khanna, Anita, Narendra D. Londhe, S. Gupta, and Ashish Semwal. "A deep Residual U-Net convolutional neural network for automated lung segmentation in computed tomography images." Biocybernetics and Biomedical Engineering 40, no. 3 (2020): 1314-1327.
  6. Dash, M., Londhe, N. D., Ghosh, S., Shrivastava, V. K., & Sonawane, R. S. (2020). Swarm intelligence based clustering technique for automated lesion detection and diagnosis of psoriasis. Computational Biology and Chemistry, 107247.
  7. Dash, M., Londhe, N. D., Ghosh, S., Raj, R., & Sonawane, R. S. (2020). A cascaded deep convolution neural network based CADx system for psoriasis lesion segmentation and severity assessment. Applied Soft Computing, 106240.
  8. Tekchandani, H., Verma, S., & Londhe, N. D. (2020). Mediastinal lymph node malignancy detection in computed tomography images using fully convolutional network. Biocybernetics and Biomedical Engineering, 40(1), 187-199.
  9. Ghanahshyam B. Kshirsagar, Narendra D. Londhe, “Weighted Ensemble of Deep Convolution Neural Networks for a Single Trial Character Detection in Devanagari Script Based P300 Speller”, IEEE Transactions on cognitive and developmental systems, 2019, DOI: 10.1109/TCDS.2019.2942437.
  10. Manoranjan Dash, Narendra D. Londhe, Subhojit Ghosh, Ashish Semwal, Rajendra S. Sonawane, “PsLSNet: Automated psoriasis skin lesion segmentation using modified U-Net-based fully convolutional network”, Biomedical Signal Processing and Control, Volume 52, 2019, Pages 226-237, ISSN 1746-8094, https://doi.org/10.1016/j.bspc.2019.04.002.
  11. Satya Prakash Sahu, Narendra D Londhe&Shrish Verma, “Pulmonary Nodule Detection in CT Images Using Optimal Multilevel Thresholds and Rule-based Filtering”, IETE Journal of Research, pp. 1-18, 2019. DOI: 10.1080/03772063.2019.1603084
  12. Ishan Bhardwaj, Narendra D. Londhe& Sunil K. Kopparapu, “Performance Evaluation of Fingerprint Dynamics in Machine Learning and Score Level Fusion Framework”, IETE Technical Review, Volume 36(2), page no. 178-189, 2019. DOI: 10.1080/02564602.2018.1444515
  13. G. B. Kshirsagar and N. D. Londhe, "Improving Performance of Devanagari Script Input-Based P300 Speller Using Deep Learning," in IEEE Transactions on Biomedical Engineering, vol. 66, no. 11, pp. 2992-3005, Nov. 2019. doi: 10.1109/TBME.2018.2875024
  14. Narendra D. Londhe, and Ghanahshyam B. Kshirsagar. "Chhattisgarhi speech corpus for research and development in automatic speech recognition." International Journal of Speech Technology 21, no. 2 (2018): 193-210.
  15. Atul K Dwivedi, Subhojit Ghosh, Narendra D. Londhe, “Review and Analysis of Evolutionary Optimization-Based Techniques for FIR Filter Design,” Circuits, Systems & Signal Processing https://doi.org/10.1007/s00034-018-0772-1.
  16. Sumit K Banchhor, Narendra D. Londhe, Tadashi Araki, Luca Saba, PetiaRadeva, John R Laird, Jasjit S Suri, “Wall-based measurement features provides an improved IVUS coronary artery risk assessment when fused with plaque texture-based features during machine learning paradigm,” Computers in Biology and Medicine, vol.91, pp.198-212, 2017.
  17. Luca Saba, Sumit K Banchhor, Narendra D. Londhe, Tadashi Araki, John R Laird, Ajay Gupta, Andrew Nicolaides, Jasjit S Suri, “Web-based accurate measurements of carotid lumen diameter and stenosis severity: An ultrasound-based clinical tool for stroke risk assessment during multicenter clinical trials,” Computers in Biology and Medicine, vol.91, pp.306-317, 2017.
  18. Sumit K. Banchhor, Narendra D. Londhe, Tadashi Araki, Luca Saba, PetiaRadeva, Narendra N. Khanna, Jasjit S. Suri, “Calcium detection, its quantification, and grayscale morphology-based risk stratification using machine learning in multimodality big data coronary and carotid scans: A review”, Computers in Biology and Medicine, Volume 101, 2018, Pages 184-198, ISSN 0010-4825, https://doi.org/10.1016/j.compbiomed.2018.08.017.
  19. Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri, “A Novel and Robust Bayesian Approach for Segmentation of Psoriasis Lesions and its Risk Stratification,” Computer Methods and Programs in Biomedicine, vol.150, pp.9-22, 2017.
  20. Rahul K. Chaurasia, Narendra D. Londhe, Subhojit Ghosh, “Multi-objective Binary DE algorithm for Optimizing the Performance of Devanagari Script-Based P300 Speller,” Biocybernetics and Biomedical Engineering, vol.37(3), pp. 422-431, 2017.
  21. Banchhor S.K., Londhe N.D., Araki T., Saba L., Radeva P., Laird J.R., Suri J.S., “Well-Balanced System for Coronary Calcium Detection and Volume Measurement in a Low Resolution Intravascular Ultrasound Videos,” Computers in Biology and Medicine, vol.84, pp.168-181,2017.
  22. Ishan Bhardwaj, Narendra D. Londhe, Sunil K. Kopparapu, “A spoof resistant multibiometric system based on the physiological and behavioral characteristics of fingerprint,” Pattern Recognition, vol.62, pp.214-224, 2017.
  23. Mitul K. Ahirwal, Anil Kumar, G. K. Singh, Narendra D. Londhe, “Performance Prediction of Adaptive filters for EEG signal,” IET Science, Measurement & Technology, vol.11(5), pp. 525-531, 2017 .
  24. Ishan Bhardwaj, Narendra D. Londhe, Sunil K. Kopparapu, “Study of Imposter Attacks on Novel Fingerprint Dynamics Based Verification System,” IEEE Access, vol. 5, pp. 595-606, 2016.
  25. Tadashi Araki, Pankaj K. Jain, Harman S. Suri, Narendra D. Londhe, Nobutaka Ikeda, Ayman El-Baz, Vimal K. Shrivastava, Luca Saba, Andrew Nicolaides, Shoaib Shafique, John R. Laird, Ajay Gupta, Jasjit S. Suri, “Stroke Risk Stratification and its Validation using Ultrasonic Echolucent Carotid Wall Plaque Morphology: A Machine Learning Paradigm,” Computers in Biology and Medicine, vol.80, pp. 77-96, 2017.
  26. Atul K Dwivedi, Subhojit Ghosh, Narendra D. Londhe, “Low power FIR filter design using Hybrid Artificial Bee Colony Algorithm with experimental validation over FPGA,” Circuits, Systems & Signal Processing (CSSP), vol. 36(1), pp. 156-180, 2017.
  27. Narendra D. Londhe, Jasjit S. Suri, “Superharmonic Imaging for Medical Ultrasound: A Review,” Journal of Medical Systems, vol.40 (12), 279, 2016.
  28. Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri, “Reliability Analysis of Psoriasis Decision Support System in Principal Component Analysis Framework,” Data & Knowledge Engineering, vol.106, pp. 1-17, 2016.
  29. Rahul K. Chaurasia, Narendra D. Londhe, Subhojit Ghosh, “Binary DE based Channel selection and Weighted-Ensemble of SVM Classification for Novel Brain-Computer Interface using Devanagari Script Based P300 Speller Paradigm,” International Journal of Human-Computer Interaction, vol.32(11), pp. 861-877, 2016.
  30. Sumit K Banchhor, Tadashi Araki, Narendra Londhe, Nobutaka Ikeda, PetiaRadeva, Ayman El-Baz, Luca Saba, Andrew Nicolaides, Shoaib Shafique, John R. Laird, Jasjit Suri, “Five Multiresolution-based Calcium Volume Measurement Techniques from Coronary IVUS Videos: A Comparative Approach,” Computer Methods and Programs in Biomedicine, vol.134, pp.237-258, 2016.
  31. Atul K Dwivedi, Subhojit Ghosh, Narendra D. Londhe, “Low Power FIR Filter Design using Modified Multi-Objective Artificial Bee Colony Algorithm with Experimental Validation,” Engineering Applications of Artificial Intelligence, vol. 55, pp. 58-69, 2016.
  32. Atul K Dwivedi, Subhojit Ghosh, Narendra D. Londhe, “Low power 2D FIR Filter Design using Modified Artificial Bee Colony Algorithm with experimental validation using FPGA,” IET Science, Measurement & Technology, vol.10(6), pp.671-678, 2016.
  33. Mitul K. Ahirwal, Anil Kumar, G. K. Singh, Narendra D. Londhe, “Scaled Correlation Analysis of EEG: A New Measure of Signal Influence,” IET Science, Measurement & Technology vol.10(6), pp.585-596, 2016.
  34. Ishan Bhardwaj, Narendra D. Londhe, Sunil K. Kopparapu, “A Novel Behavioral Biometric Technique for Robust User Authentication,” IETE Technical Review (DOI: 10.1080/02564602.2016.1203271).
  35. Luca Saba; Sumit K Banchhor; Harman S Suri; Narendra D Londhe; Tadashi Araki; Nobutaka Ikeda; KlaudijaViskovic; Shoaib Shafique; John R Laird; Ajay Gupta; Andrew Nicolaides; Jasjit S Suri, “Accurate Cloud-Based Smart IMT Measurement, its Validation and Stroke Risk Stratification in Carotid Ultrasound: A Web-based Point-of-Care Tool for Multicenter Clinical Trial,” Computers in Biology and Medicine, vol.75, pp.217-234, 2016.
  36. Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri, “A Novel Approach to Multiclass Psoriasis Disease Risk Stratification: Machine Learning Paradigm,” Biomedical Signal Processing and Control, vol. 28, pp. 27-40, 2016.
  37. Atul K Dwivedi, Subhojit Ghosh, Narendra D. Londhe, “A Modified Artificial Bee Colony Optimization based FIR filter Design with Experimental Validation using FPGA,” IET Signal Processing, vol.10(8), pp. 955-964, 2016.
  38. Araki T, Ikeda N, Shukla D, Jain P, Londhe ND, Shrivastava VK,  Banchhor SK, Saba L, Nicolaides A, Shafique S, Laird JR, Suri JS, “PCA-based polling strategy in machine learning framework for coronary artery disease risk assessment in intravascular ultrasound: A link between carotid and coronary grayscale plaque morphology,” Computer Methods and Programs in Biomedicine, vol.128, pp.137 – 158, 2016.
  39. Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri, “Computer-Aided Diagnosis of Psoriasis Skin Images with HOS, Texture and Color Features: A First Comparative Study of Its Kind,” Computer Methods and Programs in Biomedicine, vol. 126, pp. 98-109, 2016.
  40. Suri, Jasjit S., Luca Saba, Sumit K. Banchhor, Tadashi Araki, Nobutaka Ikeda, Narendra D. Londhe, Andrew Nicolaides, and John R. Laird. "Web-based Automated Carotid Artery Plaque Measurements Tool for Multicenter Clinical Trial: A Diabetic Cohort Study." In VASCULAR MEDICINE, vol. 21, no. 3, pp. 294-295, 2016.
  41. Araki T, Banchhor SK, Londhe ND, Ikeda N, Redeva P, Shukla D, Saba L, Balestrieri A, Nicolaides A, Shafique S, Laird JR, Suri JS, “Reliable and Accurate Calcium Volume Measurement in Coronary Artery Using Intravascular Ultrasound Videos,” Journal of Medical Systems, vol. 40(3), pp.51-71, 2016.
  42. Tadashi Araki, Nobutaka Ikeda, Devarshishukla, Narendra Londhe, Vimal Shrivastava, SumitBanchhor, Luca Saba, Andrew Nicolaides, Shoaib Shafique, John Laird andJasjit S. Suri, ”A New Method for IVUS-based Coronary Artery Disease Risk Stratification: A Link between Coronary & Carotid Ultrasound Plaque Burdens,” Computer Methods and Programs in Biomedicine, Vol. 124, pp. 161-179, 2016.
  43. Rahul K. Chaurasia, Narendra D. Londhe, Subhojit Ghosh, “A Novel Weighted Edit Distance-Based Spelling Correction Approach for Improving the Reliability of Devanagari Script-Based P300 Speller System,” IEEE Access, vol.4, pp. 8184-8198, 2016.
  44. Vimal K. Shrivastava, Narendra D. Londhe, Rajendra S. Sonawane, Jasjit S. Suri, “Exploring the color feature power for psoriasis risk stratification and classification: A data mining paradigm,” Computers in Biology and Medicine, vol.65, pp. 54-68, 2015.
  45. Vimal K. Shrivastava, Narendra D. Londhe, R.S. Sonawane, Jasjit S. Suri, “Reliable and accurate psoriasis disease classification in dermatology images using comprehensive feature space in machine learning paradigm,” Expert Systems with Applications, Volume 42, Issues 15–16, Pages 6184-6195, September 2015.
  46. Vimal Kumar Srivastava, Narendra D. Londhe, “Measurement of PASI Area Score of Indian Psoriasis Patients,” Journal of Medical Imaging and Health InformaticsVol. 5(4), pp. 653-674, August 2015.
  47. Vimal K Shrivastava, Narendra D Londhe, R. S. Sonawane, Jasjit S. Suri, "First Review on Psoriasis Severity Risk Stratification: An Engineering Perspective," Computers in Biology and Medicine, vol. 63, pp. 52-63, August 2015.
  48. Vinita Thawrani, Narendra D. Londhe, Randeep Singh, “Crowdsourcing Medical Data,” IETE Technical Review31:3, 249-253, 2014.
  49. Narendra D. Londhe, R. S. Anand, “Numerical Parametric Study of Superharmonic Field Properties in Nonlinear Ultrasound Wave Propagation in Human Soft Tissues”, Acta Acustica united with Acustica, Vol.98, pp. 1-9, 2012.

International ESCI/SCOPUS Indexed/Other Journal Publications

  1. Khanna A., Londhe N.D., Gupta S. “Automatic Lung Segmentation and Airway Detection Using Adaptive Morphological Operations”. In: Tanveer M., Pachori R. (eds) Machine Intelligence and Signal Analysis. Advances in Intelligent Systems and Computing, vol 748. (2019) Springer, Singapore.
  2. Sahu S.P., Agrawal P., Londhe N.D., Verma S.,“Lung Segmentation of CT Images Using Fuzzy C-Means for the Detection of Cancer in Early Stages”. In: Kolhe M., Trivedi M., Tiwari S., Singh V. (eds) Advances in Data and Information Sciences. Lecture Notes in Networks and Systems, vol 39. (2019), Springer, Singapore.
  3. Ishan Bhardwaj, Narendra D. Londhe, Sunil K. Kopparapu, “User attitude towards novel biometric system and usability analysis,” International Journal of Biometrics, 2018.
  4. Saba, L., Banchhor, S.K., Araki, T., Suri, H.S., Londhe, N.D., Laird, J.R., Viskovic, K., Suri, J.S., “Intra- and inter-operator reproducibility analysis of automated cloud-based carotid intima media thickness ultrasound measurement,” J Clin Diagn Res. vol. 12(2), pp. KC01-KC11, 2018.
  5. Luca Saba, Sumit K Banchhor, Tadashi Araki, KlaudijaViskovic, Narendra D Londhe, John R Laird, Harman S Suri, Jasjit S Suri, “Intra- and inter-operator reproducibility of automated cloud-based carotid lumen diameter ultrasound measurement,” Indian Heart Journal, 2018. https://doi.org/10.1016/j.ihj.2018.01.024
  6. Satya Prakash Sahu, Priyanka Agrawal, Narendra D Londhe, “A New Hybrid Approach Using Fuzzy Clustering and Morphological Operations for Lung Segmentation in Thoracic CT Images,” Biomedical and Pharmacology Journal, vol. 10(4), pp. 1949-1961, 2017.
  7. Rahul Kumar Chaurasiya, Narendara D Londhe and Subhojit Ghosh, “Comparison of Machine Learning Methods for Devanagari Script-based P300 Speller System,” International Journal of Comtrol Theory and Applications   9(42):477-485, 2017.
  8. Satya Prakash Sahu · Narendra D. Londhe · Shrish Verma, “An Automated System for the Detection of Lung Cancer in CT data at Early Stages: Review,” International Journal of Control Theory and Applications 10(18):133-144 · April 2017.
  9. Banchhor S.K., Londhe N.D., Araki T., Ikeda N., Saba L., Radeva P., Laird J.R., Suri J.S., “Relationship between Automated Coronary Calcium Volumes and a set of Manual Coronary Lumen Volume, Vessel Volume and Atheroma Volume in Japanese Diabetic Cohort: An Intravascular Ultrasound-based Study” J Clin Diagn Res. Vol. 11(6), pp. TC09-TC14, 2017.
  10. RK Chaurasiya, ND Londhe, S Ghosh, “Statistical wavelet features, PCA, and SVM based approach for EEG signals classification,” International Journal of Electrical, Computer, Electronics and Communication Engineering, vol.9(2), pp.182-186, 2015.
  11. Narendra D Londhe, Sunil Chaware, “Region of Interest Based Coding of Abdominal CT Images,” Canadian Journal on Image Processing and Computer Vision, vol.4(1), pp. 9-15, 2013.
  12. Devendra Joshi, Narendra D Londhe “Fully Automatic Detection Of Liver Lesions In Real Abdominal CT Images,” International Journal of Engineering Research and Technology, vol.2(4), pp. 49-55, 2013.
  13. Devendra Joshi, Narendra D Londhe, “Automatic liver tumour detection in abdominal CT images,” International Journal of Computer Technology and Electronics Engineering, vol.3, pp.25-30, 2013.
  14. Narendra D. Londhe, R. S. Anand, “Coded Tissue Superharmonic Imaging: An analytical study”, Journal of Medical Ultrasound, Vol. 20, No. 2, pp. 101-108, June 2012.
  15. Shweta Arora, Narendra D Londhe, Anuja Kumar Acharya, “Human identification based on iris recognition for distant images,” Int. J. Comput. Appl, vol.45(16), pp.32-39, 2012.
  16. Mitul Kumar Ahirwal, Narendra D Londhe, “Power spectrum analysis of EEG signals for estimating visual attention,” Int. J. Comput. Appl, vol.42(15), pp.22-25, 2012.
  17. Ishan Bhardwaj, Narendra D Londhe, “Speaker dependent and independent isolated hindi word recognizer using hidden markov model (HMM),” Int. J. Comput. Appl, vol.52(7), pp.34-40, 2012.
  18. Narendra D. Londhe, R. S. Anand, “Numerical Investigation of Nonlinear Propagation of Amplitude Modulated Ultrasound Pulses in Human Soft Tissues and Superharmonic Beam Optimization”,Int. J. of Biomedical Engineering and Technology,Vol. 8, No. 1, pp.82-98, 2012.
  19. Mitul Kumar Ahirwal, Narendra D. Londhe, “Classification of 2D Hand Movement with   Power Spectrum Estimation,”Int. Journal of Biomedical Engineering and Technology, Vol. 9, No. 3, pp. 277-286, 2012.
  20. Narendra D Londhe, Sourabh Gupta, Dewesh Dewangan, “A complete ECG signal delineation method based on wavelet transform,” vol.9(2), pp.147-162,2012.
  21. Narendra D. Londhe, R. S. Anand, “Numerical Investigation of Superharmonic Imaging Using Chirp Excitation”, Journal of Medical Ultrasound, Vol.19, No.3, pp. 81-86, 2011.
  22. Mohit Gupta, Narendra D Londhe, “Low complexity near lossless image compression technique for telemedicine,” Int. J. Comput. Appl, vol.29(7), pp.43-50, 2011.
  23. Narendra D. Londhe, R. S. Anand, “Investigation of linear and nonlinear frequency modulated excitation effects on tissue harmonic imaging”, Chinese Journal of Acoustics, vol. 30(3), pp. 227-240, 2011.
  24. Narendra D. Londhe, R. S. Anand, “Simulation study of the superharmonic field generated from a phase array”, Chinese Journal of Acoustics, Vol.30, No.4, pp.371-378, 2011.
  25. Mohit Gupta, Narendra D. Londhe, “An Improved Low Complexity Near Lossless Image Compression”, Int. J. Signal and Imaging Systems Engineering, Vol. 4, No. 4, pp. 207-211, 2011.
  26. Narendra D. Londhe, R. S. Anand, “Investigation of ultrasonic shock wave propagation and superharmonic field generation in human soft tissues,” Int. J. Mathematical Modeling and Numerical Optimisation, vol.1(4), pp. 316-329, 2010.
  27. Narendra D Londhe, RS Anand, “Second harmonic field generation from a phased array transducer and its beam optimization,” Int. J. Recent Trends Eng, vol.2, pp.101-105, 2009.

National Journal Publications

  1. Narendra D Londhe, R. S. Anand, “Linear Ultrasound Wave Propagation in Biological Tissues”, Indian Journal of Biomechanics: Special Issue (NCBM 7-8 March 2009), pp. 104-108, 2009
  2. Narendra D Londhe, R. S. Anand, “Ultrasound Shock Wave Propagation and Generation of Harmonics in Biological Tissues”, J. Pure Appl. Ultrason. 33(4), pp. 77-87, 2011.
  3. Narendra D Londhe, “PhD Thesis Summary: Behavioral Study of Ultrasound Wave Propagation in Biological Tissues,”J. Pure Appl. Ultrason. 34(4), pp. 94, 2012.
  4. Harish Guggilla, Narendra D Londhe and Dilip Kumar Sethi, “Study of Coded Ultrasound Imaging using FIELD II,” J. Pure Appl. Ultrason. 41(2), pp. 98-104, April 2014.

International Conference Publications

  1. Hitesh Tekchandani, Shirish Verma, Narendra D Londhe, Rajiv Jain and Avani Tiwari, “Severity Assessment of Cervical Lymph Nodes Using Modified VGG-Net, and Squeeze and Excitation Concept,” 2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC), 27-30 January 2021.
  2. A. Semwal and N. D. Londhe, “S-PANET: A Shallow Convolutional Neural Network for Pain Severity Assessment in Uncontrolled Environment,” 2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC), 27-30 January 2021 (Best Paper Presenter Award).
  3. A. Semwal and N. D. Londhe, “ECCNet: An Ensemble of Compact Convolution Neural Network for Pain Severity Assessment from Face images,” 11TH INTERNATIONAL CONFERENCE, CONFLUENCE 2021, 28th - 29th January 2021, Amity University Uttar Pradesh, Noida, India.
  4. H. Tekchandani, S. Verma and N. D. Londhe, “Differential diagnosis of Cervical Lymph Nodes in CT images using modified VGG-Net based on Spatial Squeeze and Excitation (SSE), and Residual Concept,” 11TH INTERNATIONAL CONFERENCE, CONFLUENCE 2021, 28th - 29th January 2021, Amity University Uttar Pradesh, Noida, India.
  5. R. Raj, N.D. Londhe and R.S. Sonawane, “Automatic psoriasis lesion segmentation from raw colour images using deep learning”, IEEE international conference on Bioinformatics & Biomedicine (BIBM) 2020, 16-19 December 2020.
  6. A. Semwal and N. D. Londhe, "Automated Pain Severity Detection Using Convolutional Neural Network," 2018 International Conference on Computational Techniques, Electronics and Mechanical Systems (CTEMS), Belgaum, India, 2018, pp. 66-70. doi: 10.1109/CTEMS.2018.8769123
  7. A. Semwal and N. D. Londhe, " Automated facial Expression based Pain Assessment Using Deep Convolutional Neural Network," 2019 International Conference on Intelligent Sustainable Systems (ICISS), Palladam, Tamil Nadu, India, 2019.
  8. H. Tekchandani, S. Verma and N. D. Londhe, “Artifacts and their Reduction Techniques in Cardiac Computed Tomography : An Overview of Image Processing Techniques,” International Conference on Innovations in Engineering, Technology and Science (ICIETS), Mysore, India, 2018.
  9. Ghanahshyam B. Kshirsagar, Narendra D. Londhe, “Performance Improvement for Devanagari Script Input Based P300 Speller,” IEEE 5th International Conference on Signal Processing & Integrated Networks (SPIN), Noida, 22-23 February 2018.
  10. Narendra D. Londhe,Ghanahshyam B. Kshirsagar, Hitesh Tekchandani, “Deep Convolutional Neural Network Based Speech Recognition for Chhattisgarhi,” IEEE 5th International Conference on Signal Processing & Integrated Networks (SPIN), Noida, 22-23 February 2018.
  11. Anita Khanna, Narendra Londhe and Shubhrata Gupta, “Detection of pulmonary vessels in 3D lung CT using improved Graph Cut,” IEEE 5th International Conference on Signal Processing & Integrated Networks (SPIN), Noida, 22-23 February 2018.
  12. Hitesh Tekchandani, Shrish Verma, Narendra D. Londhe, “Severity Assessment of Lymph Nodes in CT Images using Deep Learning Paradigm,” IEEE 2nd International Conference on Computing Methodologies and Communication (ICCMC), Erode, 15-16 February 2018.
  13. Neha Sahu, Narendra D. Londhe, “Optimization based selective harmonic elimination in multi-level inverters,” IEEE National Power Electronics Conference (NPEC), Pune, 18-20 Dec 2017.
  14. Ghanahshyam B. Kshirsagar, Narendra D. Londhe, “Deep convolutional neural network based character detection in devanagari script input based P300 speller” IEEE International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT), Mysuru, 15-16 Dec 2017 (Best Paper Presenter Award).
  15. Neha Sahu, Narendra D. Londhe, “Selective harmonic elimination in five level inverter using sine-cosine algorithm,” IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI), Chennai, 21-22 September 2017.
  16. Aparajita Saraf, Rahul Kumar Chaurasiya, Narendra D Londhe and Subhojit Ghosh, “Multi-Objective Binary PSO for Improving the Performance of P300 Speller,” IEEE International Conference on Advanced Computational and Communication Paradigms (ICACCP), Sikkim, September 8-10, 2017.
  17. Luca Saba, Sumit K. Banchho, Tadashi Araki, Narendra D. Londhe, Nobutaka Ikeda, Andrew Nicolaides, Shoaib Shafique, Michelle Porsu, John R. Laird and Jasjit S. Suri, “Automated Carotid Artery Plaque Burden and Stenosis Severity Measurements: A Web-based Tool for Multicenter Clinical Trial,” 3rd Neurological Disorders Summit (NDS-2016), July 6-8, 2017, Burlingame, CA, USA.
  18. Neha Sahu, Narendra D. Londhe, Ghanahshyam B. Kshirsagar, “FPGA applications in inverter and converter circuits: A review on technology, benefits and challenges,” IEEE International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), Coimbatore, 17-18 March 2017.
  19. Narendra D. Londhe, Ghanahshyam B. Kshirsagar, “Speaker Independent Isolated Words Recognition System for Chhattisgarhi Dialect,” IEEE International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), Coimbatore, 17-18 March 2017.
  20. Narendra D. Londhe, Ghanahshyam B. Kshirsagar, “Continuous Speech Recognition System for Chhattisgarhi,” IEEE International Conference on Communication and Signal Processing (ICCSP’17), Chennai, 6-8 April 2017.
  21. Saba L., Banchhor S.K., Araki T., Ikeda N.,Londhe N.D., Viskovic K., Shafique S., Gupta A., Sharma A., Nicolaides A., Laird J.R., Suri JS., “Automated Ultrasound-Based Carotid Lumen Diameter and Stenosis Measurement: A Web-Based Tool for a Multicenter Clinical Trial,” Proceedings of AIUM Annual Convention 2017, 25-29 March 2017, Florida, USA, 2017.
  22. Londhe N.D., Suri JS., “Improved Axial and Lateral Image Resolution in Nonlinear Superharmonic Ultrasound Imaging: A Comparative Study of 2 Coded Excitation Methods,” Proceedings of AIUM Annual Convention 2017, 25-29 March 2017, Florida, USA, 2017.
  23. Araki T., Banchhor S.K., Ikeda N., Radeva P., Saba L., Balestrieri A., Londhe N.D., Nicolaides A., Shafique S., Laird J.R., Suri JS., “A Comparative Approach Using Multiresolution and Soft Classification Techniques for Fast Coronary Calcium Volume Measurement Using Intravascular Ultrasound,” Proceedings of AIUM Annual Convention 2017, 25-29 March 2017, Florida, USA, 2017.
  24. Araki T., Jain P., Ikeda N., Londhe N.D., Saba L., Nicolaides A., Shafique S., Laird J.R., Suri JS., “Coronary Artery Disease Risk Assessment Using a Combination of Intravascular Ultrasound Coronary Wall Grayscale Morphology and Carotid Bedside Ultrasound,” Proceedings of AIUM Annual Convention 2017, 25-29 March 2017, Florida, USA, 2017.
  25. Araki T., Banchhor S.K., Saba L., Ikeda N., Londhe N.D., Laird J.R., Suri JS., “Reproducibility and Interobserver Variability Analysis of Automated Cloud-Based Smart Carotid Lumen Diameter and Stenosis Measurement Software,” Proceedings of AIUM Annual Convention 2017, 25-29 March 2017, Florida, USA, 2017.
  26. I Bhardwaj, N D Londhe, S K Kopparapu “Fingerprint Dynamics: A Novel Biometrics for Personal Authentication” IEEE International Conference on Signal and Information Processing (IConSIP-2016), Nanded, 6-8 Oct 2016.
  27. I Bhardwaj, N D Londhe, S K Kopparapu “Feature Selection for Novel Fingerprint Dynamics Biometric Technique based on PCA,” 2016 IEEE International Conference on Advances in Computing, Communications and Informatics (ICACCI 2016), Jaipur, 21-14 Sept 2016.
  28. Tadashi Araki, Pankaj K. Jain, Harman S. Suri, Narendra D. Londhe, Nobutaka Ikeda, Ayman El-Baz, Luca Saba, Andrew Nicolaides, Shoaib Shafique, John R. Laird, Ajay Guptaand Jasjit S. Suri, “A Machine Learning Paradigm for Ultrasonic Echolucent Plaque Characterization for Carotid Near and Far Walls - Stroke Risk Stratification,”2nd Neurological Disorders Summit (NDS-2016), September 7-9, 2016, Baltimore, MD, USA.
  29. Luca Saba, Sumit K. Banchhor, Tadashi Araki, Nobutaka Ikeda, Narendra D. Londhe, KlaudijaViskovic, Shoaib Shafique, Ajay Gupta, Andrew Nicolaides, John R. Laird and Jasjit S. Suri, “AtheroCloud™: A Web-based Point-of-care Solution for Accurate IMT Measurement System for Stroke Risk Monitoring,” 2nd Neurological Disorders Summit (NDS-2016), September 7-9, 2016, Baltimore, MD, USA.
  30. N. D. Londhe, M. K. Ahirwal and P. Lodha, "Machine Learning Paradigms for Speech Recognition of an Indian Dialect Recognition", 5th IEEE International Conference on Communication and Signal Processing (ICCSP’16), APEC, Melmaruvathur, India, pp. 637-643, 6-8 April, 2016.
  31. M. K. Ahirwal, A. Kumar, N.D. Londhe and H. Bikrol, "Scalp Connectivity Networks for Analysis of EEG Signal during Emotional Stimulation", 5th IEEE International Conference on Communication and Signal Processing (ICCSP’16), APEC, Melmaruvathur, India, pp. 462-466, 6-8 April, 2016.
  32. Tadashi Araki, Nobutaka Ikeda, Devarshi Shukla, Narendra Londhe, Vimal Shrivastava, SumitBanchhor, Luca Saba, Andrew Nicolaides, Shoaib Shafique, John Laird, Jasjit Suri, “Coronary Artery Disease Risk Stratification Using Feature Strength in a Machine-Learning Paradigm: A Link Between Coronary and Carotid Ultrasound Plaque Burdens,” Proceedings of AIUM Annual Convention 2016, New York, USA, pp. S25, March 17-21,2016.
  33. Tadashi Araki, SumitBanchhor, Narendra Londhe, Nobutaka Ikeda, PetiaRadeva, Devarshi Shukla, Luca Saba, Antonella Balestrieri, Andrew Nicolaides, Shoaib Shafique, John Laird, Jasjit Suri, “Coronary Calcium Volume Measurement in a Diabetic Cohort Using Intravascular Ultrasound Videos: A Comparative Study,” Proceedings of AIUM Annual Convention 2016, New York, USA, pp. S5, March 17-21,2016.
  34. Atul K Dwivedi, S. Ghosh, N. D. Londhe, “Bit Level FIR Filter Optimization using Hybrid Artificial Bee Colony algorithm,” 2015 Annual IEEE India Conference (INDICON), pp.1-6, 17-20 Dec. 2015.
  35. R. K. Chaurasiya, N. D. Londhe, S. Ghosh, “An Efficient P300 Speller System for Brain-Computer Interface,” 2015 International Conference on Signal Processing, Computing and Control (2015ISPCC), pp. 57-62, 24-26 Sept. 2015.
  36. Kapse, Y.; Londhe, N.D., "Hybrid HMM/ANN based isolated Hindi word recognition," India Conference (INDICON), 2014 Annual IEEE, vol., no., pp.1,5, 11-13 Dec. 2014.
  37. PrincyMatlani, Narendra D Londhe, “A Cloud Computing Based Telemedicine Service,” IEEE-EMBS Special Topic Conference on Point-Of-Care (POC) Healthcare Technologies, 16-18 Jan 2013 at Bangalore.
  38. Ishan Bharadwaj, Narendra D Londhe, “Hidden Markov Model Based Isolated Hindi Word Recognition,” IEEE International Conference on Power, Control and Embedded Systems (ICPCES-2012) Dec. 16-19, 2012.
  39. Mitul Kumar Ahirwal, Narendra D. Londhe, “Offline Study of Brain Computer Interfacing for Hand Movement Using OpenViBE,” IEEE International Conference on Process Automation, Control and Computing (IEEE-PACC2011) 20-22 July 2011 at Coimbatore.
  40. Narendra D. Londhe, R. S. Anand, “Simulation of Ultrasound Wave Propagation and Beam Optimization,” International Conference on Biomedical Instrumentation and Healthcare Engg.(ICOBIAHC '09), 6th to 8th of August 2009 at Chennai.

National Conference Publications

  1. Ashish Semwal, Narendra D Londhe, “‘Facial Expression Based Pain Monitoring in Hospital Environment using Compact Convolutional Network,” 35th Indian Engineering Congress, 18-20 December 2020.
  2. Narendra D Londhe, R. S. Anand, “Superharmonic Imaging: A Review”, XIX National Symposium of Ultrasonics, 30 – 31, Oct. 2012.

 Book Chapters

  1. Kshirsagar Ghanahshyam, and Londhe Narendra, “An efficient single-trial classification approach for Devanagari script-based visual P300 speller using knowledge distillation and transfer learning”, Brain and Behavior Computing, CRC Press- Taylor and Francis group, 2020 (Accepted). 
  2. Kshirsagar Ghanahshyam, and Londhe Narendra, “Increasing the usability of the Devanagari scriptinput based P300 speller”, Modelling and Analysis of Active Biopotential Signals in Healthcare, Volume 2, IOP Publishing, 2020 DOI: doi: 10.1088/978-0-7503-3411-2ch7.
  3. Saba, Luca and Banchhor, Sumit K and Suri, Harman S and Londhe, Narendra D and Araki, Tadashi and Ikeda, Nobutaka and Viskovic, Klaudija and Shafique, Shoaib and Laird, John R and Gupta, Ajay and Nicolaides, Andrew and Suri, Jasjit S, "A cloud-based smart IMT measurement tool for multi-center clinical trial and stroke risk stratification in carotid ultrasound", Vascular and Intravascular Imaging Trends, Analysis, and Challenges, Volume 1, IOP Publishing, 2019, 2053-2563, pp. 12-1 to 12-40, doi 10.1088/2053-2563/ab01fach12, isbn 978-0-7503-1997-3. 
  4. Banchhor, Sumit K and Londhe, Narendra D and Araki, Tadashi and Saba, Luca and Radeva, Petia and Laird, John R and Suri, Jasjit S, "An improved framework for IVUS-based coronary artery disease risk stratification by fusing wall-based and texture-based features during a machine learning paradigm", Vascular and Intravascular Imaging Trends, Analysis, and Challenges, Volume 1, IOP Publishing, 2019, series 2053-2563, pp. 14-1 to 14-35, doi 10.1088/2053-2563/ab01fach14, isbn 978-0-7503-1997-3.
  5. Banchhor, Sumit K and Londhe, Narendra D and Araki, Tadashi and Saba, Luca and Radeva, Petia and Khanna, Narendra N and Suri, Jasjit S, "Coronary and carotid artery calcium detection, its quantification and grayscale morphology-based risk stratification in multimodality big data: a review," Vascular and Intravascular Imaging Trends, Analysis, and Challenges, Volume 2, IOP Publishing, 2019, series 2053-2563, pp. 1-1 to 1-39, doi 10.1088/2053-2563/ab0820ch1, isbn 978-0-7503-2002-3.
  6. Banchhor, Sumit K and Araki, Tadashi and Londhe, Narendra D and Ikeda, Nobutaka and Radeva, Petia and El-Baz, Ayman and Saba, Luca and Nicolaides, Andrew and Shafique, Shoaib and Laird, John R and Suri, Jasjit S, "Multiresolution-based coronary calcium volume measurement techniques from intravascular ultrasound videos", Vascular and Intravascular Imaging Trends, Analysis, and Challenges, Volume 2, IOP Publishing, 2019, series 2053-2563, pp. 10-1 to 10-46, doi 10.1088/2053-2563/ab0820ch10, isbn 978-0-7503-2002-3.
  7. Saba, Luca and Banchhor, Sumit K and Londhe, Narendra D and Araki, Tadashi and Laird, John R and Gupta, Ajay and Nicolaides, Andrew and Suri, Jasjit S, "A cloud-based smart lumen diameter measurement tool for stroke risk assessment during multicenter clinical trials", Vascular and Intravascular Imaging Trends, Analysis, and Challenges, Volume 2, IOP Publishing, 2019, series 2053-2563, pp. 11-1 to 11-21, doi 10.1088/2053-2563/ab0820ch11, isbn 978-0-7503-2002-3.

 

Other Info.

 

SPONSORED RESEARCH PROJECTS

1. Project Title “Machine Based Behavioral Multiparametric Pain Assessment System” (On Going)

·      Role – Principal Investigator

·      Sponsoring Agency – Science and Engineering Research Board 

·      Cost – ₹ 23,56,000/-

2. Project Title “Development of efficient Devanagari Script Input Based P300 Speller system for Brain-Computer Interface” (Completed)

·      Role –Principal Investigator

·      Sponsoring Agency – Department of Science & Technology

·      Cost – ₹ 27,10,600

3. Project Title “Speech Recognition for Chhattisgarhi” –Chhattisgarh Council of Science and Technology (Completed)

·      Role – Principal Investigator

·      Sponsoring Agency – Chhattisgarh Council of Science and Technology

·      Cost – ₹ 5,00,000

4.  Project Title “Development of CADx System for Psoriasis Area and Severity Index (PASI) Measurement of Psoriasis Patients from 2D Digital Images” (Submitted)

·      Role –Principal Investigator

·      Sponsoring Agency – SUPRA-SERB

·      Cost – ₹37,32,001

5.   Project Title “A dual-language EEG-EOG speller with a hybrid audio-visual stimulation using brain computer interface” (Submitted)

 

PhD & MTech Thesis Guidance


  • PhD Thesis

S.

No.

Name of Scholar

PhD Thesis Title/Research Area

Status

Duration

1

Mr. Vimal Kumar Shirvastava (FULL-TIME)

PhD Thesis Title: Computer Aided Psoriasis Disease Classification and Severity Detection

Awarded

2012-2016

2

Mr.Atul Kumar Dwivedi (FULL-TIME)

PhD Thesis Title: Optimization Based Design and Implementation of FIR Filters

Awarded

2013-2017

3

Mr. Rahul Kumar Chaurasia (PART-TIME)

PhD Thesis Title: Development of an Efficient Devanagari Script-Based P300 Speller System for Brain-Computer Interface

Awarded

2013-2016

4

Mr. Ishan Bharadwaj (FULL-TIME)

PhD Thesis Title: Fingerprint Dynamics: A Novel Behavioral Biometric Technique for User Authentication

Awarded

2012-2017

5

Mr. Sumit Kumar Banchhor (FULL-TIME)

PhD Thesis Title: Coronary Calcium Detection and Risk Assessment in Intravascular Ultrasound Videos

 

Awarded

2014-2018

6

Mr.Satya Praksh Sahu (PART-TIME)

PhD Thesis Title: Computer Aided Diagnosis System for Early Lung Cancer Detection in Computed Tomography Images

Awarded

2013-2018

7

Mr. Manoranjan Dash (PART-TIME)

Area of Research - Psoriasis Severity Detection

Ongoing

2015-

8

Mrs. Anita Khanna (PART-TIME)

Area of Research - Lung Vessel Segmentation

Ongoing

2016-

9

Mr.Hitesh Tekchandani (FULL-TIME)

Area of Research – Lymph Node detection

Ongoing

2016-
10 Mr. Ghanahshyam B. Kshirsagar (PART-TIME) Area of Research – Devanagari Script Input Based P300 Speller Ongoing 2017-
11 Mr. Ashish Semwal (PART-TIME) Area of research: Machine based behavioral multiparametric pain assessment system. Ongoing 2018-
12 Mr. Ritesh Raj (Full-Time) Area of research: Deep Learning on Medical Image Processing Ongoing 2018-



  • M.Tech Dissertations

Completed - 17

 

Patents

Title

Application Number

Filing Date

Publication Date

Systems and methods for generation of and matching of biometric templates  

 2795/MUM/2014

02/09/2014 

18/03/2016

 

Method and system for multifactor biometric authentification

3895/MUM/2014

04/12/2014

 

16/10/2015

 

 

Awards/Medals

Received Best Paper Award for a published research article in Journal of Medical Ultrasound (Elsevier). The award included a Visiting Scholarship to attend the 30th Annual Convention of Taiwan Society of Medical Ultrasound on 18-19 Oct 2014 at Taiwan International Convention Centre, Taipei, Taiwan.

Received  T K Saxena Memorial Award of Ultrasonics Society of India for best PhD Thesis in the field of Ultrasonics and applied research on 30th Oct. 2012 in XIX National Symposia of Ultrasonics 2012 (XIX NSU-2012) organized at National Physical Laboratory, New Delhi.

Received “Best Paper Presenter” award for the paper presentation in IEEE Int. Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT) 2018 conducted on 15-16 December 2018 in Mysuru, INDIA. 

Received "NIT Raipur Best Faculty Award 2019" award on Foundation Day Celebration of National Institute of Technology Raipur held on December 1, 2019 in Raipur, C.G., INDIA.

 

Courses/Workshops Organized

  • Organized One Week Short Term Training Program on “Medical Signal & Image Processing - IV”, Dept of Electrical Engg, NIT Raipur from 14-19 October 2019. 

  • Organized TEQIP-III Sponsored One Week Short Term Training Program on “Medical Signal & Image Processing - III,” Dept of Electrical Engg, NIT Raipur from 25-30 June 2018.

  • Organized a short-term training programme on “Medical Signal & Image Processing - II” from 22-27 May 2017 in Department of Electrical Engg., NIT Raipur.

  • Organized a short term course on “MATLAB based Design and Implementation of Advanced Control, Signal & Image Processing Algorithms” from 16-21st August 2013 in Department of Electrical Engg., NIT Raipur.

  • Organized a four days workshop on “MATLAB and LabVIEW” from 28-30th March 2014 at Dept of Electrical Engg, NIT Raipur.

  • Organized two days workshop on “National Ethical Hacking,” on 7th and 8th Oct 2014 at Dept of Electrical Engg, NIT Raipur.

  • Organized IEEE Student Branch NIT Raipur certified training on "Basic Programmable Logic Circuits (PLC)" of SIEMENS on 15th and 26th Dec 2014 in Department of Electrical Engg of National Institute of Technology Raipur.

  • Organized a short term training programme on “Soft Computing Techniques and Its Applications” from 22-26th June 2015 in Department of Electrical Engg., NIT Raipur.

  • Organized a short term training programme on “Medical Signal & Image Processing” from 22-27 August 2016 in Department of Electrical Engg., NIT Raipur.

  • Organized a short term training programme on “Biosensors & SignalProcessing” on 22nd & 23rd Dec 2016 in Department of Electrical Engg., NIT Raipur.

 

  • Memberships

Status                 Organization

·         Senior Member            IEEE (92147729)

·         Member (MIET)          IET (1100206766)

·         Member                       The Institution of Engineers (India) (M-1536715)

·         Life Member               Ultrasonics Society of India(LM-236)

·         Life Member               Acoustical Society of India(LM-776)

·         Life Member               Biomedical Engineering Society of India (LM-945)

·         Life Member               Telemedicine Society of India (LM-0128)

·         Life Member               Instrument Society of India (LM-1961)

        Life Member               Institution of Engineers (M-153671-5)

 

Expert/Invited Talks & Lectures 

S.No

Event Details

Topic

1

MATLAB Programming and Its Engineering Applications organized by Dept of Computer Applications & Dept of Biomedical Engg at National Institute of Technology Raipur from Dec 26 to Dec 30, 2013

1. Digital Signal Processing 

2. Biomedical Signal Processing

2

Application of MATLAB in Engineering and Interdisciplinary Areas organized by Electrical Engineering Department, College of Engineering and Management, Kolghat 8-9 Jan 2014. 

Wavelet Tranform & Its Applications in Signal Processing

3

Advanced Material Physics organized by Department of Physics at National Institute of Technology Raipur from 19-23 May 2014.

Medical Ultrasound Physics

4

30th Annual Convention of Taiwan Society of Medical Ultrasound at Taiwan International Convention Centre, Taipei, Taiwan from 18-19 Oct 2014.

Numerical Investigation of Superharmonic Imaging Using Chirp Excitations

5

Special Course of One Week on "Applications of Advanced Power Electronics and Electrical Drives in AC Locomotives" for South Eastern Central Railway from 16-21 Feb 2015 organized by Dept of Electrical Engg, NIT Raipur

Electrical Measurements & Instrumentation

6

Special Course of One Week on "Applications of Advanced Power Electronics and Electrical Drives in AC Locomotives and LHB Coaches" for South Eastern Central Railway from 29 June – 11 July 2015 organized by Dept of Electrical Engg, NIT Raipur

Electrical Measurements & Instrumentation

7

TEQIP-II Sponsored One Week Short Term Training Program on “Digital Image Processing, Pattern Recognition and Applications,” of Dept of Electronics & Telecommunication Engineering, NIT Raipur from 07-11 March 2016

Pattern Recognition in Medical Signal and Image Processing

8

Self-Financed One Week Short Term Training Program on “Soft Computing and Data Mining Techniques,” of Dept of Electrical Engg, NIT Raipur from 20-24 June 2016

Applications of Soft Computing in Medical Signal and Image Processing

9

Self-Financed One Week Short Term Training Program on “Medical Signal & Image Processing,” Dept of Electrical Engg, NIT Raipur from 22nd -27th August 2016

Medical Image Processing

10

TEQIP-II Sponsored One Week Short Term Training Program on “Soft Computing and Intelligence Techniques in Science and Engineering,” Dept of Electrical Engg, NIT Raipur from 30th Sep-04 Oct 2016

Psoriasis Disease Classification and Detection
11 State Symposium on "Next Generation Health Innovation" on 24th December 2016, organized by Department of Physiology, Pt. J. L. M. Medical College Raipur Soft Computing Applications in Medical Signal & Image Processing
12 National Conference on “Recent Advances in Biomedical Signal, Image and Video Processing (RABSIVP-2K17)” on 24th February 2017 organized by Departments of ECE, AITAM, Andhra Pradesh. Reliable and accurate psorasis disease classification in dermatology images using comprehensive feature space in machine learning paradigm
13 National Conference on “Recent Challenges in Electronics Engineering for National Development (BITCON’17)” on 28th March 2017 at Bhilai Institute of Technology, Bhilai, Chhattisgarh. Soft Computing Applications in Medical Signal & Image Processing
14 2nd International Conference on “Recent Innovations In Engineering And Technology (ICRIEAT -2017)” on 21 December 2017 at Aurorra’s Scientific, Technological and Research Academy, Hyderabad, Telangana.  Computer-Aided Psoriasis Disease Classification and Severity Detection
15 Self-Financed One Week Short Term Training Program on “Medical Signal & Image Processing,” Dept of Electrical Engg, NIT Raipur from 22-27 May 2017. Machine Learning Applications in Medical Signal & Image Processing
16 TEQIP-III Sponsored One Week Short Term Training Program on “Medical Signal & Image Processing,” Dept of Electrical Engg, NIT Raipur from 25-30 June 2018 Machine Learning Applications in Medical Signal & Image Processing
17 Expert lecture on “Research Methodology” for PhD Research Scholar on 6/12/2019 at G. H. Raisoni University, Amravati  Research Methodology
18 Five days National workshop on “Artificial Intelligence (AI)” during 22-26 Sept. 2019 sponsored by AICTE Training and learning academy, organized by Dept of Electrical Engg, NIT Raipur. Medical Signal and Image Processing Applications
19 One Week Short Term Training Program on “MATLAB Applications in Electrical & Electronics Engineering” Dept of Electrical Engg, NIT Raipur & VEC Lakhanpur from 9 – 13 July 2019 Basic Medical Signal and Image Processing on MATLAB
20 One Week Short Term Training Program on “Medical Signal & Image Processing (MSIP IV),” Dept of Electrical Engg, NIT Raipur from 14-19 October 2019. Medical Signal and Image Processing based on Machine Learning and Deep Learning

 

 

Title

Application Number

Filing Date

Publication Date

Systems and methods for generation of and matching of biometric templates 

 

2795/MUM/2014 

02/09/2014 

18/03/2016