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 in Journals/Conferences

International SCI/SCIE Indexed Journal Publications

  1. Sonkar, R., Dhekne, P.Y. & Londhe, N.D. Improvement in the prediction of peak particle velocity of blast-induced ground vibrations using K-means clustering. Arab J Geosci 14, 2255 (2021). https://doi.org/10.1007/s12517-021-08620-z [IF-1.827, Citations-0]
  2. Anurag Tikariha, Narendra D. Londhe, Baidyanath N. Bag, Ritesh Raj, “Classification of Faults in an IEEE 30 Bus Transmission System using Fully Convolutional Network,” International Transactions on Electrical Energy Systems, 2021. [IF-2.860, Citations-0]
  3. Hitesh Tekchandani, Shrish Verma, Narendra D. Londhe, Rajiv Ratan Jain, Avani Tiwari, “Computer aided diagnosis system for cervical lymph nodes in CT images using deep learning,” Biomedical Signal Processing and Control, 2021. [IF-3.137, Citations-0]
  4. A. Semwal and N. D. Londhe, “Automated Pain Intensity Estimation from Facial Expression using Compact CNN Based Fusion Network,” Applied Soft Computing, Volume 112, 2021, 107780, ISSN 1568-4946, https://doi.org/10.1016/j.asoc.2021. 107780. [IF-5.472, Citations-0]
  5. Ritesh Raj, Narendra D. Londhe, Rajendra Sonawane, “Automated psoriasis lesion segmentation from unconstrained environment using residual U-Net with transfer learning,” Computer Methods and Programs in Biomedicine, Volume 206, 2021, 106123, ISSN 0169-2607, https://doi.org/10.1016/j.cmpb.2021.106123. [IF-3.632, Citations-1]
  6. A. Semwal and N. D. Londhe, “MVFNet: A Multi-view Fusion Network for Pain Intensity Assessment in Unconstrained Environment Biomedical Signal Processing and Control,” Biomedical Signal Processing and Control, Volume 67, 2021, 102537, ISSN 1746-8094, https://doi.org/10.1016/j.bspc.2021.102537. [IF-3.137, Citations-0]
  7. 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. [IF-0.812, Citations-2]
  8. 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. [IF-1.925, Citations-0]
  9. 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. [IF-3.211, Citations-13]
  10. 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. [IF-3.632, Citations-9]
  11. Anita Khanna, 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. [IF-2.537,Citations-19]
  12. 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. [IF-1.850, Citations-5]
  13. 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. [IF-5.472, Citations-7]
  14. 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. [IF-2.537, Citations-20]
  15. 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. [IF-2.667, Citations-13]
  16. 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. [IF-3.137, Citations-37]
  17. 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. [IF-1.125, Citations-4]
  18. 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. [IF-1.845, Citations-1]
  19. 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. [IF-4.424, Citations-32]
  20. 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. [IF-1.681, Citations-21]
  21. 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. [IF-3.434, Citations-24]
  22. 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. [IF-3.434, Citations-22]
  23. 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. [IF-3.434, Citations-22]
  24. 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. [IF-3.632, Citations-47]
  25. 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. [IF-2.537, Citations-9]
  26. 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. [IF-3.434, Citations-9]
  27. 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. [IF-7.196, Citations-27]
  28. 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. [IF-1.975, Citations-10]
  29. 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. [IF-3.745, Citations-10]
  30. 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. [IF-3.632, Citations-40]
  31. 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. [IF-1.681, Citations-20]
  32. Narendra D. Londhe, Jasjit S. Suri, “Superharmonic Imaging for Medical Ultrasound: A Review,” Journal of Medical Systems, vol.40 (12), 279, 2016. [IF-3.058, Citations-10]
  33. 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. [IF-1.476, Citations-8]
  34. 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. [IF-1.713, Citations-30]
  35. 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. [IF-3.632, Citations-19]
  36. 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. [IF-4.201, Citations-37]
  37. 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. [IF-1.975, Citations-11]
  38. 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. [IF-1.975, Citations-1]
  39. 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). [IF-1.845, Citations-12]
  40. Luca Saba; Sumit K Banchhor; Harman S Suri; Narendra D Londhe; Tadashi Araki; Nobutaka Ikeda; Klaudija Viskovic; 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. [IF-3.434, Citations-32]
  41. 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. [IF-3.137, Citations-12]
  42. Atul K Dwivedi, Subhojit Ghosh, Narendra D. Londhe, “Modified Artificial Bee Colony Optimization based FIR filter Design with Experimental Validation using FPGA,” IET Signal Processing, vol.10(8), pp. 955-964, 2016. [IF-1.692, Citations-17]
  43. 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. [IF-3.632, Citations-51]
  44. 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. [IF-3.632, Citations-85]
  45. 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. [IF-2.832, Citations-0]
  46. 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. [IF-3.058, Citations-25]
  47. Tadashi Araki, Nobutaka Ikeda, Devarshishukla, Narendra Londhe, Vimal Shrivastava, Sumit Banchhor, 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. [IF-3.632, Citations-39]
  48. 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. [IF-3.745, Citations-17]
  49. 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. [IF-3.434, Citations-40]
  50. 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. [IF-5.452, Citations-55]
  51. Vimal Kumar Srivastava, Narendra D. Londhe, “Measurement of PASI Area Score of Indian Psoriasis Patients,” Journal of Medical Imaging and Health Informatics Vol. 5(4), pp. 653-674, August 2015. [IF-0.659, Citations-5]
  52. 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. [IF-3.434, Citations-43]
  53. Vinita Thawrani, Narendra D. Londhe, Randeep Singh, “Crowdsourcing Medical Data,” IETE Technical Review31:3, 249-253, 2014. [IF-1.845, Citations-13]
  54. 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. [IF-1.037, Citations-0]

 

International ESCI/SCOPUS Indexed/Other Journal Publications

  1. Satya Prakash Sahu, Narendra D. Londhe, Shrish Verma, Priyanka Agrawal, Sumit K. Banchho, “False positives reduction in pulmonary nodule detection using a connected component analysis based approach” Int. Journal of Biomedical Engineering and Technology, 2021.
  2. Anita Khanna, Narendra D. Londhe, S. Gupta, “Automated pathological lung volume segmentation with anterior and posterior separation in X-ray CT images,” Int. Journal of Biomedical Engineering and Technology, 2021.
  3. Khanna A, Londhe N. D, Gupta S. Automated Localized Approach for Airway Segmentation in 3D Chest CT Volume. Biomed Pharmacol J 2020;13(4).
  4. Sahu S.P., Kumar R., Londhe N.D., Verma S. (2021) Segmentation of Lungs in Thoracic CTs Using K-means Clustering and Morphological Operations. In: Rizvanov A.A., Singh B.K., Ganasala P. (eds) Advances in Biomedical Engineering and Technology. Lecture Notes in Bioengineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-6329-4_28.
  5. 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.
  6. 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.
  7. Ishan Bhardwaj, Narendra D. Londhe, Sunil K. Kopparapu, “User attitude towards novel biometric system and usability analysis,” International Journal of Biometrics, 2018.
  8. 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.
  9. 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.
  10. Luca Saba, Sumit K Banchhor, Tadashi Araki, Klaudija Viskovic, 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
  11. 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.
  12. Rahul Kumar Chaurasiya, Narendara D Londhe and Subhojit Ghosh, “Comparison of Machine Learning Methods for Devanagari Script-based P300 Speller System,” International Journal of Control Theory and Applications   9(42):477-485, 2017.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. Narendra D Londhe, Sourabh Gupta, Dewesh Dewangan, “A complete ECG signal delineation method based on wavelet transform,” Int. Journal of Biomedical Engineering and Technology, vol.9(2), pp.147-162,2012.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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. B. Bag, Praveen Kumar, Narendra D. Londhe and Anurag Tikariha, “Classification and Analysis of Power System Faults in IEEE-14 Bus System using Machine learning Algorithm,” 4th International Conference on Recent Developments in Control Automation and Power Engineering -RDCAPE 2021 on 7th – 8th October 2021. (Accepted)
  2. R. Raj, N.D. Londhe and R.S. Sonawane, “Deep Learning based Multi-Segmentation for Automatic Estimation of Psoriasis Area Score,” 8th International Conference on Signal Processing & Integrated Networks (SPIN 2021), 26-27 August 2021.
  3. A. Semwal and N. D. Londhe, “Head Movement Dynamics based Pain Detection using Spatio-Temporal Network,” 8th International Conference on Signal Processing & Integrated Networks (SPIN 2021), 26-27 August 2021.
  4. Anurag Tikariha, Narendra Londhe, Baidyanath Bag and Ritesh Raj, “Fault Classification in an IEEE 30 Bus System using Convolutional Neural Network,” 4th International Conference on Recent Developments in Control Automation and Power Engineering -RDCAPE 2021 on 7th – 8th October 2021. (Accepted)
  5. Hitesh Tekchandani, Shirish Verma, Narendra D Londhe, “Automated Lymph Nodes Classification using Factorized Convolution-based CNN,” 2021 Fourth IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT 2021) from 15-17 September 2021.
  6. Hitesh Tekchandani, Shrish Verma, Narendra D. Londhe and Amit Verma, “An Overview- Artifacts and Their Reduction Techniques in Cardiac Computed Tomography,” International Conference on Signal Processing & Communication Engineering Systems (SPACES-2021) from 11th to 12th June 2021.
  7. 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.
  8. 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).
  9. 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.
  10. 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.
  11. 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.
  12. A. Semwal and N. D. Londhe, "Automated Facial Expression based Pain Assessment Using Deep Convolutional Neural Network," 2020 3rd International Conference on Intelligent Sustainable Systems (ICISS), 2020, pp. 366-370, doi: 10.1109/ICISS49785.2020.9316099.
  13. A. Chandra, S. Verma, A. S. Raghuvanshi, N. K. Bodhey, N. D. Londhe and K. Subham, "SegNet-based Corpus Callosum segmentation for brain Magnetic Resonance Images (MRI)," 2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), Greater Noida, India, 2019, pp. 317-322, doi: 10.1109/ICCCIS48478.2019.8974559.
  14. A. Chandra, S. Verma, A. S. Raghuvanshi, N. D. Londhe, N. K. Bodhey and K. Subham, "Corpus Callosum Segmentation from Brain MRI and its Possible Application in Detection of Diseases," 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT), Coimbatore, India, 2019, pp. 1-4, doi: 10.1109/ICECCT.2019.8869395.
  15. 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
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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).
  23. 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.
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. 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.
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. 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.
  34. 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.
  35. 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.
  36. 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.
  37. 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.
  38. 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.
  39. 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.
  40. 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.
  41. 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.
  42. 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.
  43. 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.
  44. 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.
  45. 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.
  46. 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.
  47. 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.
  48. 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/Book Chapters

  1. Mitul K. Ahirwal, Narendra D. Londhe, Anil Kumar, “Artificial Intelligence Applications for Health Care” CRC Press, Taylor & Francis Group, USA, 2022.
  2. Hitesh Tekchandani, Shrish Verma, Narendra D. Londhe, “Improving the detection of abdominal and mediastinal lymph nodes in CT images using attention U-Net based deep learning model,” Artificial Intelligence Applications for Health Care, CRC Press, pp. 181-202, Taylor & Francis Group, USA, 2022.
  3. Manoranjan Dash, Narendra Digambar Londhe, Subhojit Ghosh, Rajendra Sonawane, “Hybrid Seeker Optimization Algorithm Based Accurate Image Clustering for Automatic Psoriasis Lesion Detection,” Artificial Intelligence Applications for Health Care, pp. 227-240, CRC Press, Taylor & Francis Group, USA, 2022.
  4. 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, 2021. 
  5. Kshirsagar Ghanahshyam, and Londhe Narendra, “Increasing the usability of the Devanagari script input 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.
  6. 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. 
  7. 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.
  8. 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.
  9. 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.
  10. 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” (Completed)

·      Role – Principal Investigator

·      Sponsoring Agency – SERB 

·      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 – DST-CSRI

·      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” (Ongoing) 

·      Role –Principal Investigator

·      Sponsoring Agency – 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)

·         Role –Principal Investigator

·         Sponsoring Agency – DST-CSRI

·         Cost – ₹37,67,610

6.                  Project Title “Improvising Cyber Security in Smart-Grid’s Operational Technology (OT) Infrastructure using Deep Learning based Approaches” (Submitted)

·         Role –Co-Principal Investigator 

·         Sponsoring Agency – CPRI 

·         Cost – ₹19,40,400

 Professional Experience

  • Working as Associate Professor in Electrical Engineering Department, National Institute of Technology (NIT) Raipur, since 18th June 2018.
  • Worked as Assistant Professor in Electrical Engineering Department, National Institute of Technology (NIT) Raipur from 01stSeptember 2009 to 17th June 2018.

Awards/Medals

  1. Received “NIT Raipur Best Faculty Award 2019” on Foundation Day Celebration of National Institute of Technology Raipur held on December 1, 2019 in Raipur, C.G, India.
  2. 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.
  3. Received Best Paper Prize for Paper Published in Journal of Medical Ultrasound in 2012 from Taiwan Society of Ultrasound in Medicine during 30th Annual Convention of TSUM in Taipei from 18-19th Oct 2014.
  4. 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.

 

 

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

 

 

Course/Workshop Organized

  1. Organized One Week Short Term Training Program on “Advanced Machine Learning for Biosignal Data”, Dept of Electrical Engg. And department of Information Technology, NIT Raipur from 8-12 October 2020.
  2. Organized One Week Short Term Training Program on “Medical Signal & Image Processing - IV”, Dept of Electrical Engg, NIT Raipur from 14-19 October 2019.
  3. 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.
  4. Organized a short-term training programme on “Medical Signal & Image Processing - II” from 22-27 May 2017 in Department of Electrical Engg., NIT Raipur.
  5. Organized a short-term training programme on “Biosensors & Signal Processing” on 22nd& 23rd Dec 2016 in Department of Electrical Engg., NIT Raipur.
  6. Organized a short-term training programme on “Medical Signal & Image Processing” from 22-27 August 2016 in Department of Electrical Engg., NIT Raipur.
  7. 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.
  8. 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.
  9. Organized two days’ workshop on “National Ethical Hacking,” on 7th and 8th Oct 2014 at Dept of Electrical Engg, NIT Raipur.

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

11.  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.

 

Expert Talk/Lectures Delivered

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 Transform & 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 Computer Science &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 psoriasis 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

One Week Short Term Training Program on “MATLAB Application in Electrical and Electronics Engineering”, jointly organized by Dept. of Electrical Engineering, NIT Raipur & VEC Lakhanpur during 9-13 July 2019

Medical Signal and Image Processing

18

One Week National Workshop on “Artificial Intelligence” (AI-2019) under ATAL program, Department of Electrical Engineering, NIT Raipur from September 22-26, 2019

AI applications in signal and image processing

19

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

Introduction on MSIP, Machine Learning and deep learning Applications in Medical Signal & Image Processing

20

One day expert lecture on “Research Methodology” for PhD Research Scholar on 06/12/2019 at G. H. Raisoni University, Amravati

Research Methodology

21

Workshop on “Emerging Areas of Research in Image Processing-2020 (ERIP-2020)” organized by E&TC Department of Jaypee University of Information technology, Waknaghat, Solan from 06-12 January 2020.

Computer Aided Psoriasis Disease Classification and Severity Detection

 

22

An expert talk on a topic "Digital Signal & Image Processing" in a webinar organized by Department of Electrical Engineering, School of Engineering & Technology, G H Raisoni University, Amravati held on dated 17/08/2020.

Digital Signal & Image Processing

23

Expert speaker in national webinar on “Medical Image Processing” held on 25th July 2020, organized by Department of Electronics and Telecommunication Engineering, R. C. Patel Institute of Technology, Shirpur.

Medical Image Processing

24

Keynote speaker in the One Week Online Short-Term Training Program (STTP) on "Application of Artificial Intelligence in Electrical and Electronics Engineering" organized by Electrical & Electronics Department of LNCT Bhopal.

Fault Classification in Power System Distribution Network Integrated with Distributed Generators using CNN

25

Expert lecture in TEQIP III-sponsored one-week Online Short-Term Training Programme on “Technological Innovations and Challenges in Biomedical Instrumentation” Jointly organized by Electrical Engineering, and Department of Biotechnology, GBPIET, Pauri, Uttarakhand November 23th to November 27th, 2020.

Medical image segmentation and classification using Deep Learning

26

Resource person in AICTE Sponsored Online Short-Term Training Program (STTP) Phase-II on "Machine Learning and Its Applications in Data Analytics" 07th Dec to 12th December 2020) organized by Departmen of Computer Science of SSGMCE Shegaon.

Computer Aided Psoriasis Disease Classification and Severity Detection

Psoriasis Image Segmentation and Classification Using Deep Learning Approaches Using Python

Devanagari Script Input Based P300 Speller System for Brain Computer Interface

EEG Signal Classification Using Deep Learning Architectures in MATLAB/Python

27

Resource person for the AICTE sponsored two-week online FDP on “Artificial intelligence and its applications in Biomedical Engineering” at JSPM's Rajarshi Shahu College of Engineering, Pune 12th December 2020.

Computer Aided Psoriasis Disease Classification and Severity Detection

28

(ATAL) Academy sponsored Online Faculty Development Program (FDP) on “AI applications in Electrical and Computer Engineering” organized by Electrical Engineering Department of NIT Raipur from 4-8 January 2021

Deep Learning for Signal and Image Processing

29

Two days’ Workshop on "Application of MATLAB in Electrical Engineering'' organized by Electrical Engineering Department of SATI Vidisha from 28-29 January 2021.

Fault Classification in Power System Distribution Network Integrated with Distributed Generators using CNN

30

AICTE Sponsored Two-week FDP on "Hands-on project-based approach for Biomedical Signal Analysis using MATLAB" organized by Kakatiya Institute of Technology and Science, Warangal (KITSW) from 01-13 February 2021

Devanagari Script Input Based P300 Speller System for Brain Computer Interface

31

AICTE-ISTE Sponsored One Week Online Induction/Refresher Program on “Machine Learning and Its Applications (Phase-I)” organized by R. C. Patel Institute of Technology, Shirpur, Maharashtra from 9-15 February 2021.

Introduction to Machine Learning and Its Applications

Deep Learning and Medical Imaging

32

Expert Lecture on “Robotics process Automation” at G H Raisoni Institute of Engineering and Technology Pune on 13th February 2021.

Robotics process Automation

33

Rajasthan Technical University, Kota and Shree Digamber Institute of Technology (SDIT), Dausa are jointly organized TEQIP-III RTU (ATU) Sponsored 5 days FDP on “MATLAB & Its Applications” during 22-26 Feb 2021

EEG Signal Classification Using Deep Learning in MATLAB

34

Expert session for STTP - “Statistics for Data Science” on Wednesday, February 24, 2021 organized by G. H. Raisoni Institute of Engineering and Technology (GHRIET) Pune

EEG Signal Classification Using Deep Learning

35

Expert talk in one week online short-term training program (online-STTP) on "Advances in Biosignal & Image Processing" from 08-12 March 2021 under TEQIP III and in association with ISTE New Delhi organized by Electronics & Telecommunication Engineering, Government Engineering College, Raipur.

Medical Image Segmentation and Classification Using Deep Learning

36

Expert Talk in Online Faculty Development Program (FDP) on “New trends in Machine learning NTML2021” organized by the Electronics and Communication Engineering Department, Narula Institute of Technology from 22nd March to 26th March 2021

Medical Image Segmentation and Classification Using Deep Learning

37

Expert Talks in AICTE SPONSORED TWO WEEK FACULTY DEVELOPMENT PROGRAMME On “Machine Learning in Image Processing Applications” organized by Department of Electronics and Communication Engineering, Potti Sriramulu Chalavadi Mallikarjuna Rao College of Engineering and Technology from 15-27 March 2021.

Lymph Nodes Detection in CT Images Using Deep Learning

Differential Diagnosis of Lymph Nodes in CT Images Using Deep Learning

38

Expert Talks in AICTE SPONSORED TWO WEEK FACULTY DEVELOPMENT PROGRAMME On “Machine Learning in Computer vision and Video Processing” organized by Department of Electronics and Communication Engineering, Potti Sriramulu Chalavadi Mallikarjuna Rao College of Engineering and Technology on 10th and 12th April 2021.

Deep Learning and its Application in Automated Pain Severity Assessment

Hands on session of pain assessment using UNet

39

Keynote presentation in World Conference on Lung & Respiratory Disease organized by European Society of Medicine on 24th April 2021 in Paris, France.

 

 

A deep Residual U-Net convolutional neural network for automated lung segmentation in computed tomography images

40

Expert lecture in STTP on "Artificial Intelligence and Deep Learning" organized by Department of Computer Science & Engineering of Maulana Azad National Institute of Technology Bhopal from 17/05/21 to 21/05/21.

Applications of Artificial Neural Networks

41

Expert Talk in AICTE sponsored One Week Short Term Training Programme (STTP) on “Data science and Machine learning” organized by Department of CSE, Narula Institute of Technology, Agarpara Kolkata from 24-28 May 2021.

Deep Learning and its Application in Automated Pain Severity Assessment

42

Expert Talk in FDP on "Machine Learning and Signal Processing" from 21 - 25 June 2021 in the School of Electronics Engineering, KIIT Deemed to be University Bhubaneswar, Odisha.

EEG Signal Classification Using Deep Learning

43

Expert Talk in FDP on "Digital Signal Processing" on 07th July 2021 in Krishna Engineering College, Bhilai, Chhattisgarh.

Digital Signal Processing

44

Webinar on “Deep learning and Its Applications” on 28th July 2021 at Oriental College of Technology Bhopal, Madhya Pradesh.

Deep learning and Its Applications

45

Expert Talk in ATAL FDP on “Machine Learning in Medical Image Processing” on 5th September 2021 at Katihar Engineering College, Katihar, Bihar.

Lymph Nodes Detection and Classification in CT Images Using Deep Learning

46

Expert Talk in ATAL FDP on “Intelligent Computing in Healthcare” on 20th September 2021 at National Institute of Technology Raipur.

Introduction to Intelligent Computing and its Application in Healthcare

47

Expert talk in Online One-Week Short Term Course on “IoT and Intelligent Techniques for Electrical Engineering (IITEE2021)” on 20th September 2021 organized by Department of Electrical Engineering, Maulana Azad National Institute of Technology, Bhopal (M.P.) India.

Fault Detection and Classification in Power System using Deep Learning

48

Expert Talk in Online Workshop on “Applications of AI and ML in Power and Electronics Engineering Challenges,” on 22nd September 2021 organized by Electrical and Electronics Department, RVCE Bangalore. 

Medical Image segmentation and classification using deep learning

49

Expert Talk in FDP on "Research funding opportunities in Engg Field across the Globe" on 3-4 Dec 2021 organized by STANI MEMORIAL COLLEGE OF ENGINEERING & TECHNOLOGY Phagi, Jaipur.

Funding Scheme for Neuroscience Research in

India

50

Guest Speaker in IEEE EBSCO Lunch & Learn | Knowledge Feast on 9th Dec 2021 at the Courtyard Marriot, Raipur.

Relevance of Research & Learning through IEEE

51

Expert Speaker in Two Week offline Faculty Development Program (FDP) on   "Mathematical Modelling, Optimization and Simulation in Signal Processing" sponsored & funded by AICTE, organized by Electronics and Telecommunication Engineering Department of Rungta college of Engineering and Technology, Bhilai on 07/12/2021.

Medical Image segmentation and classification using deep learning

52

Inaugural Expert Lecture in Online ATAL FDP at Rungta college of Engineering and Technology, Bhilai, CG on "Recent Trends and Advancements in ANN and Deep learning for Real Time Applications " on 20/12/2021.

Introduction on AI and its application in real world

53

Invited Speaker in 2021 3rd Asia Digital Image Processing Conference (ADIP 2021 - workshop of AICCC 2021), Kyoto, Japan during December 17-19, 2021.

Automated Psoriasis Lesions Segmentation in Color Images using Residual U-Net with Transfer Learning

54

Expert Lecture in Online ATAL FDP at Maulana Azad National Institute of Technology, Bhopal (M.P.) India, on " Optimization Techniques for Deep Learning" on 05/01/2022.

Application of Deep Learning on Medical Signal and Image Processing

55

Expert Speaker in Online AICTE/ISTE Sponsored Refreshers Program on “Recent Trends in Signal Processing RTSP 2022” , organized by the Electronics and Communication Engineering Department  , Narula Institute of Technology from 24th January 2022 to 31st January 2022.

ECCNet: An Ensemble of Compact Convolution Neural Network for Pain Severity Assessment from Face images

Head Movement Dynamics based Pain Detection using Spatio-Temporal Network

 

Memberships

Status                               Organization

  • Senior Member          IEEE (92147729)
  • Member (MIET)         IET (1100206766)
  • Life 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)

 

Ph.D. / M.Tech. Thesis Guided

Ph.D. 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. Satya Praksh Sahu (PART-TIME)

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

Awarded

2013-2018

6

Mr. Sumit Kumar Banchhor (FULL-TIME)

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

Awarded

2014-2018

7

Mr. Manoranjan Dash (PART-TIME)

PhD Thesis Title: Improving automated detection of psoriasis lesion and its severity assessment using Swarm Intelligence and Deep Learning

Awarded 

2015-2020

8

Mr. Ghanahshyam Kshirsagar (FULL-TIME)

PhD Thesis Title: Improving Performance of Devanagari Script Input-Based P300 Speller Using Deep Learning

Awarded

2017-2021

9

Mr. Hitesh Tekchandani (FULL-TIME)

PhD Thesis Title: Lymph Nodes and their Malignancy Detection in Computed Tomography Images using Deep Learning

Awarded

2016-2021

10

Mrs. Anita Khanna (Part-Time)

Area of Research - Lung Vessel Segmentation

Ongoing 

2017-

11

Mr. Rajesh Sonkar (PART-TIME)

Area of Research – Mining Accidents

Ongoing

2017-

12

Mr. Ashish Semwal (PART-TIME)

PhD Thesis Title: Machine based behavioral multiparametric pain assessment system

Submitted

2018-2022

13

Mr. Ritesh Raj (Full-Time)

Area of research: Deep Learning on Medical Image Processing

Ongoing

2018-

14

Ms. Vibha Bhandari

Area of research: Hybrid P300 Speller System Based BCI

Ongoing

2021-

 

M.Tech Theses

  1. M.Tech Thesis titled ‘A low complexity near lossless image compression for telemedicine’ (Student-Mohit Gupta) - COMPLETED.
  2. M.Tech Thesis titled ‘EEG signal estimation using ICA/PCA’ (Student-Mitul Kumar Ahirwal) - COMPLETED
  3. M.Tech Thesis titled ‘HMM Based Hindi Speech Recognition’ (Student-Ishan Bharadwaj)–COMPLETED.