Dr. Rabul Hussain Laskar

RHL Photograph

Associate Professor

National Institute of Technology (NIT) Silchar

Department of Electronics and Communications Engineering

Silchar, Assam, 788010, India

Email: rhlaskar@ece.nits.ac.in

Phone: +91-9401437104.


Date of Joining: 18/03/1999

Academic Experience: 23+ years

Personal Webpage: http://ec.nits.ac.in/rhlaskar/


ACADEMIC QUALIFICATIONS

  • Ph.D.:     National Institute of Technology Silchar, Cachar, India, 2013
  • M.Tech.: Indian Institute of Technology Guwahati, Guwahati, India, 2007
  • B.Tech.: National Institute of Technology Silchar (formerly known as Regional Engineering College Silchar), Cachar, India, 1998

EXPERIENCE

  • Mar 2018 – present: Associate Professor (AGP 9500), National Institute of Technology (NIT) Silchar, Assam, 788010, India
  • Mar 2013 – Mar 2018: Assistant Professor (AGP 8000), National Institute of Technology (NIT) Silchar, Assam, 788010, India
  • Jul 2008 – Mar 2013: Lecturer (SS) (AGP 8000), National Institute of Technology (NIT) Silchar, Assam, 788010, India
  • Dec 1999 – Jul 2008: Lecturer, National Institute of Technology (NIT) Silchar, Assam, 788010, India
  • Mar 1999 – Dec 1999: Visiting Teacher, National Institute of Technology (NIT) Silchar, Assam, 788010, India

RESEARCH INTERESTS AND SPECIALIZATION

Research Interest

  • Speech and Audio Processing
  • Image and Video Processing
  • Computer Vision
  • Machine Learning 
  • Pattern Recognition
  • Biomedical Signal Processing
  • Medical Image Processing
  • Natural Language processing
  • Communication systems
  • Microwave engineering

Specialization

  • Linear Algebra and Random Processes
  • Statistical Signal Processing and Estimation Theory
  • Digital Signal Processing
  • Digital Image Processing
  • Analog and Digital Communication
  • Electronic Devices and Circuits
  • Microprocessor and Microcontrollers

BIOGRAPHICAL SKETCH

Rabul Hussain Laskar is an Associate Professor in the Department of Electronics and Communication Engineering at National Institute of Technology Silchar. He completed his Bachelor of Engineering (B.E.) in Electronics and Communication Engineering in 1998, Masters in Signal processing (M.Tech) in 2009, and Doctorate in speech signal processing in 2013. He has been involved in teaching and research for the past 23+ years. He is leading the signal processing research group in ECE department. His area of specialization includes digital signal processing, machine learning, computer vision, pattern recognition, analog and digital communication. He has been teaching subjects like signals and systems, linear algebra and random process, communication system engineering, digital speech processing, digital image processing, etc., among the student and research community.

He has published 70+ research articles in various referred journals, 70+ papers in international/national conferences, 10+ chapters in different book series. He has been an active reviewer in various international journals and conferences. He has supervised 12 Ph.D. scholars, 10 post-graduate, 40 undergraduates in different areas of speech, image, video and biomedical signal processing.  There are 10 Ph.D. students working under his supervision to complete their thesis. He has been involved in various R&D projects sponsored by DIT, SERB, MCIT, DST, BARC-BRNS as principal investigator. He is the senior member of IEEE, IETE fellow, IEI fellow.


PROJECT(S)

  1. Development of a prototype of disabled-friendly automatic virtual text entry keyboard interface system under practical environmental conditions [IMP/2018/000098], DST-SERB, 89.30 lakhs, 2019- 2022
  2. Multimodal user interface for assisting elderly people in indoor environment [SP/YO/407/2018], DST-SEED, 32 lakhs, 2019-2022
  3. Development of EBG –structures printed antenna for ultra-wideband communication and futuristic modelling for prediction of performance parameter using computational intelligence technique [SB/S3/EECE/093/2016], DST-SERB, 26.60 lakhs, 2016-2018.
  4. Development of Prototype Video Surveillance System Using Face Invariant Face Recognition System [[No.36(3)/14/27/2014-BRNS/1154]], BRNS-BARC, 2014-2017
  5. Development of Speech based Multi-Level Person Authentication System (Consortium Project along with IIT Guwahati and NEHU, Shillong) [No.12(6)/2012-ESD], Deity, MOI, 2012-2015

PUBLICATIONS (JOURNALS/CONFERENCES)

International Journals

  1. Ahmad, K. S. Yadav, M. Ahmed, R. H. Laskar, and A. Hossain, “An integrated approach for eye centre localization using deep networks and rectangular-intensity-gradient technique,” J. King Saud Univ. – Comput. Inf. Sci., 2022, doi: 10.1016/j.jksuci.2022.02.015.
  2. A. Barlaskar, S. V. Singh, A. M. Kirupakaran, and R. H. Laskar, “Genetic algorithm based optimized watermarking technique using hybrid DCNN-SVR and statistical approach for watermark extraction”, Multimed. Tools Appl ,vol. 81, no. 5. Springer US, 2022. doi: 10.1007/s11042-021-11798-9.
  3. S. Yadav, A. M. Kirupakaran, R. H. Laskar, S. Misra, M. K. Bhuyan, and T. Khan, “A selective region-based detection and tracking approach towards the recognition of dynamic bare hand gesture using deep neural network,” Multimed. Syst., no. 1, 2022, doi: 10.1007/s00530-022-00890-1.
  4. S. Yadav, A. M. Kirupakaran, R. H. Laskar, M. K. Bhuyan, and T. Khan, “Design and development of a vision‐based system for detection, tracking and recognition of isolated dynamic bare hand gesticulated characters,” Expert Syst., no. January, pp. 1–17, 2022, doi: 10.1111/exsy.12970.
  5. S. Yadav, A. M. Kirupakaran, and R. H. Laskar, “Gesture objects detection and tracking for virtual text entry keyboard interface,” Multimed. Tools Appl., 2022, doi: 10.1007/s11042-021-11874-0.
  6. M. Kirupakaran, K. S. Yadav, S. Misra, R. H. Laskar, T. Khan, and M. K. Bhuyan, “Removal of self co-articulation and recognition of dynamic hand gestures using deep architectures,” Appl. Soft Comput., vol. 114, p. 108122, 2022, doi: 10.1016/j.asoc.2021.108122.
  7. Modak, T. Khan, and R. H. Laskar, “Loaded UWB Monopole Antenna for Quad Band-Notched Characteristics,” IETE Tech. Rev. (Institution Electron. Telecommun. Eng. India), vol. 0, no. 0, pp. 1–9, 2021, doi: 10.1080/02564602.2021.1878942.
  8. Misra and R. H. Laskar, “Comprehensive analysis of a diverse group of features and development of vision-based two-level hand detector under practical environment conditions,” Int. J. Comput. Vis. Robot., vol. 11, no. 2, pp. 175–200, 2021.
  9. A. Laskar and R. H. Laskar, “HiLAM-aligned kernel discriminant analysis for text-dependent speaker verification,” Expert Syst. Appl., vol. 182, no. September 2019, p. 115281, 2021, doi: 10.1016/j.eswa.2021.115281.
  10. Misra, G. Sridevi, and R. H. Laskar, “Modeling a Virtual Bare-Hand Interface System Using a Robust Hand Detection Approach for HCI,” Int. J. Pattern Recognit. Artif. Intell., vol. 35, no. 5, 2021, doi: 10.1142/S0218001421500154.
  11. China Bhanja, M. A. Laskar, and R. H. Laskar, “Modelling multi-level prosody and spectral features using deep neural network for an automatic tonal and non-tonal pre-classification-based Indian language identification system,” Lang. Resour. Eval., vol. 55, no. 3, pp. 689–730, 2021, doi: 10.1007/s10579-020-09527-z.
  12. A. Laskar, C. C. Bhanja, and R. H. Laskar, “Speaker-Phrase-Specific Adaptation of PLDA Model for Improved Performance in Text-Dependent Speaker Verification,” Circuits, Syst. Signal Process., vol. 40, no. 10, pp. 5127–5151, 2021, doi: 10.1007/s00034-021-01713-w.
  13. Ahmed and R. H. Laskar, “Evaluation of accurate iris center and eye corner localization method in a facial image for gaze estimation,” Multimed. Syst., vol. 27, no. 3, pp. 429–448, 2021, doi: 10.1007/s00530-020-00744-8.
  14. Saboo, J. Singha, and R. H. Laskar, “Dynamic hand gesture recognition using combination of two-level tracker and trajectory-guided features,” Multimed. Syst., no. 0123456789, 2021, doi: 10.1007/s00530-021-00811-8.
  15. Choudhury, R. Murugan, M. Azharuddin Laskar, and R. H. Laskar, “A comparative analysis between late fusion of features approach and ensemble of multiple classifiers approach for image classification,” Concurr. Comput. Pract. Exp., vol. 33, no. 20, pp. 1–16, 2021, doi: 10.1002/cpe.6371.
  16. Modak, T. Khan, and R. H. Laskar, “Penta-notched UWB Monopole Antenna Using EBG Structures and Fork-Shaped Slots,” Radio Sci., vol. 55, no. 9, pp. 1–11, 2020, doi: 10.1029/2019RS006983.
  17. S. Devi, N. H. Singh, and R. H. Laskar, “Fuzzy C-Means Clustering with Histogram based Cluster Selection for Skin Lesion Segmentation using Non-Dermoscopic Images,” Int. J. Interact. Multim. Artif. Intell., vol. 6, no. 1, pp. 26–31, 2020.
  18. A. Laskar and R. H. Laskar, “HiLAM-state discriminative multi-task deep neural network in dynamic time warping framework for text-dependent speaker verification,” Speech Commun., vol. 121, pp. 29–43, 2020.
  19. Sarkar, T. Khan, and R. H. Laskar, “Multi-parametric ANN modelling for interference rejection in UWB antennas,” Int. J. Electron., vol. 107, no. 12, pp. 2068–2083, 2020, doi: 10.1080/00207217.2020.1756449.
  20. Roy, L. Manam, and H. Laskar, “Removal of ‘Salt {\&} Pepper’ noise from color images using adaptive fuzzy technique based on histogram estimation,” Multim. Tools Appl., vol. 79, no. 47, pp. 34851–34873, 2020.
  21. M. Kirupakaran, K. S. Yadav, M. K. Bhuyan, R. H. Laskar, and T. Khan, “Segregation of meaningful strokes , a pre-requisite for self co-articulation removal in isolated dynamic gestures,” no. October, pp. 1–13, 2020, doi: 10.1049/ipr2.12095.
  22. Islam, A. Roy, and R. H. Laskar, “SVM-based robust image watermarking technique in {LWT} domain using different sub-bands,” Neural Comput. Appl., vol. 32, no. 5, pp. 1379–1403, 2020.
  23. A. Laskar and R. H. Laskar, “A fuzzy-clustering-based hierarchical i-vector/probabilistic linear discriminant analysis system for text-dependent speaker verification,” Expert Syst. J. Knowl. Eng., vol. 37, no. 3, 2020.
  24. Sharma, S. S. Devi, and R. H. Laskar, “Automatic Detection of Malaria Infected Erythrocytes Based on the Concavity Point Identification and Pseudo-Valley Based Thresholding,” IETE J. Res., vol. 0, no. 0, pp. 1–18, 2020, doi: 10.1080/03772063.2020.1787238.
  25. C. Bhanja, M. A. Laskar, and R. H. Laskar, “Cascade convolutional neural network-long short-term memory recurrent neural networks for automatic tonal and nontonal preclassification-based Indian language identification,” Expert Syst. J. Knowl. Eng., vol. 37, no. 5, 2020.
  26. Roy and R. H. Laskar, “Fuzzy {SVM} based fuzzy adaptive filter for denoising impulse noise from color images,” Multim. Tools Appl., vol. 78, no. 2, pp. 1785–1804, 2019.
  27. A. Laskar and R. H. Laskar, “Integrating {DNN-HMM} Technique with Hierarchical Multi-layer Acoustic Model for Text-Dependent Speaker Verification,” Circuits Syst. Signal Process., vol. 38, no. 8, pp. 3548–3572, 2019.
  28. Ahmed and R. H. Laskar, “Eye detection and localization in a facial image based on partial geometric shape of iris and eyelid under practical scenarios,” J. Electron. Imaging, vol. 28, no. 03, p. 33009, 2019.
  29. Misra and R. Hussain Laskar, “Comparative framework for vision-based gesturing modes and implementation of robust colour-marker detector for practical environments,” IET Image Process., vol. 13, no. 9, pp. 1460–1469, 2019, doi: 10.1049/iet-ipr.2018.5978.
  30. Misra and R. H. Laskar, “Integrated features and GMM Based Hand Detector Applied to Character Recognition System under Practical Conditions,” Multimed. Tools Appl., vol. 78, no. 24, pp. 34927–34961, 2019, doi: 10.1007/s11042-019-08105-y.
  31. Misra and R. H. Laskar, “Development of a hierarchical dynamic keyboard character recognition system using trajectory features and scale-invariant holistic modeling of characters,” J. Ambient Intell. Humaniz. Comput., vol. 10, no. 12, pp. 4901–4923, 2019.
  32. Bisharad and R. H. Laskar, “Music genre recognition using convolutional recurrent neural network architecture,” Expert Syst. J. Knowl. Eng., vol. 36, no. 4, 2019.
  33. China Bhanja, M. A. Laskar, and R. H. Laskar, “A Pre-classification-Based Language Identification for Northeast Indian Languages Using Prosody and Spectral Features,” Circuits, Syst. Signal Process., vol. 38, no. 5, pp. 2266–2296, 2019, doi: 10.1007/s00034-018-0962-x.
  34. P. Shome, T. Khan, and R. H. Laskar, “A state-of-art review on band-notch characteristics in UWB antennas,” Int. J. RF Microw. Comput. Eng., vol. 29, no. 2, pp. 1–16, 2019, doi: 10.1002/mmce.21518.
  35. Shome, R. H. Laskar, and D. Das, “Reference free speech quality estimation for diverse data condition,” Int. J. Speech Technol., vol. 22, no. 3, pp. 585–599, 2019.
  36. P. Shome, T. Khan, and R. H. Laskar, “CSRR-loaded UWB monopole antenna with electronically tunable triple band-notch characteristics for cognitive radio applications,” Microw. Opt. Technol. Lett., vol. 62, no. 9, pp. 2919–2929, 2020, doi: 10.1002/mop.32394.
  37. Modak, T. Khan, and R. H. Laskar, “Penta-band notched ultra-wideband monopole antenna loaded with electromagnetic bandgap-structures and modified U-shaped slots,” Int. J. RF Microw. Comput. Eng., vol. 29, no. 12, pp. 1–11, 2019, doi: 10.1002/mmce.21963.
  38. China Bhanja, M. A. Laskar, R. H. Laskar, and S. Bandyopadhyay, “Deep neural network based two-stage Indian language identification system using glottal closure instants as anchor points,” J. King Saud Univ. – Comput. Inf. Sci., no. xxxx, 2019, doi: 10.1016/j.jksuci.2019.07.001.
  39. C. Bhanja, D. Bisharad, and R. H. Laskar, “Deep residual networks for pre-classification based Indian language identification,” J. Intell. Fuzzy Syst., vol. 36, no. 3, pp. 2207–2218, 2019.
  40. Ahmed and R. H. Laskar, “Eye center localization in a facial image based on geometric shapes of iris and eyelid under natural variability,” Image Vis. Comput., vol. 88, pp. 52–66, 2019.
  41. A. Laskar and R. H. Laskar, “Filterbank Optimization for Text-Dependent Speaker Verification by Evolutionary Algorithm Using Spline-Defined Design Parameters,” Arab. J. Sci. Eng., vol. 44, no. 11, pp. 9703–9718, 2019, doi: 10.1007/s13369-019-04090-4.
  42. Islam and R. H. Laskar, “Geometric distortion correction based robust watermarking scheme in {LWT-SVD} domain with digital watermark extraction using {SVM},” Multim. Tools Appl., vol. 77, no. 11, pp. 14407–14434, 2018.
  43. K. Karsh, A. Saikia, and R. H. Laskar, “Image authentication based on robust image hashing with geometric correction,” Multim. Tools Appl., vol. 77, no. 19, pp. 25409–25429, 2018.
  44. Misra, J. Singha, and R. H. Laskar, “Vision-based hand gesture recognition of alphabets, numbers, arithmetic operators and ASCII characters in order to develop a virtual text-entry interface system,” Neural Comput. Appl., vol. 29, no. 8, pp. 117–135, 2018, doi: 10.1007/s00521-017-2838-6.
  45. Singha, A. Roy, and R. H. Laskar, “Dynamic hand gesture recognition using vision-based approach for human-computer interaction,” Neural Comput. Appl., vol. 29, no. 4, pp. 1129–1141, 2018.
  46. Islam and R. H. Laskar, “Robust image watermarking technique using support vector regression for blind geometric distortion correction in lifting wavelet transform and singular value decomposition domain,” J. Electron. Imaging, vol. 27, no. 05, p. 53008, 2018.
  47. Roy, J. Singha, and R. H. Laskar, “Removal of Impulse Noise from Gray Images Using Fuzzy {SVM} Based Histogram Fuzzy Filter,” J. Circuits Syst. Comput., vol. 27, no. 9, pp. 1850139:1–1850139:23, 2018.
  48. Roy, L. Manam, and H. Laskar, “Region Adaptive Fuzzy Filter: An Approach for Removal of Random-Valued Impulse Noise,” {IEEE} Trans. Ind. Electron., vol. 65, no. 9, pp. 7268–7278, 2018.
  49. Islam, A. Roy, and R. H. Laskar, “Neural network based robust image watermarking technique in {LWT} domain,” J. Intell. Fuzzy Syst., vol. 34, no. 3, pp. 1691–1700, 2018.
  50. Misra and R. H. Laskar, “Approach toward extraction of sparse texture features and their application in robust two-level bare-hand detection,” J. Electron. Imaging, vol. 27, no. 05, p. 51209, 2018.
  51. S. Devi, A. Roy, J. Singha, S. A. Sheikh, and R. H. Laskar, “Malaria infected erythrocyte classification based on a hybrid classifier using microscopic images of thin blood smear,” Multim. Tools Appl., vol. 77, no. 1, pp. 631–660, 2018.
  52. Roy and R. H. Laskar, “Non-casual linear prediction based adaptive filter for removal of high density impulse noise from color images,” AEU – Int. J. Electron. Commun., vol. 72, pp. 114–124, 2017, doi: 10.1016/j.aeue.2016.12.006.
  53. K. Karsh, R. H. Laskar, and Aditi, “Robust image hashing through {DWT-SVD} and spectral residual method,” {EURASIP} J. Image Video Process., vol. 2017, p. 31, 2017.
  54. Singha and R. H. Laskar, “Hand gesture recognition using two-level speed normalization, feature selection and classifier fusion,” Multimed. Syst., vol. 23, no. 4, pp. 499–514, 2017, doi: 10.1007/s00530-016-0510-0.
  55. Roy, J. Singha, L. Manam, and R. H. Laskar, “Combination of adaptive vector median filter and weighted mean filter for removal of high-density impulse noise from colour images,” {IET} Image Process., vol. 11, no. 6, pp. 352–361, 2017.
  56. Misra, R. H. Laskar, U. Baruah, T. K. Das, P. Saha, and S. P. Choudhury, “Analysis and extraction of LP-residual for its application in speaker verification system under uncontrolled noisy environment,” Multimed. Tools Appl., vol. 76, no. 1, pp. 757–784, 2017, doi: 10.1007/s11042-015-3020-8.
  57. S. Devi, J. Singha, M. Sharma, and R. H. Laskar, “Erythrocyte segmentation for quantification in microscopic images of thin blood smears,” J. Intell. Fuzzy Syst., vol. 32, no. 4, pp. 2847–2856, 2017, doi: 10.3233/JIFS-169227.
  58. Singha and R. H. Laskar, “Recognition of global hand gestures using self co-articulation information and classifier fusion,” J. Multimodal User Interfaces, vol. 10, no. 1, pp. 77–93, 2016, doi: 10.1007/s12193-016-0212-0.
  59. Singha and R. H. Laskar, “Self co-articulation detection and trajectory guided recognition for dynamic hand gestures,” {IET} Comput. Vis., vol. 10, no. 2, pp. 143–152, 2016.
  60. Roy and R. H. Laskar, “Multiclass {SVM} based adaptive filter for removal of high density impulse noise from color images,” Appl. Soft Comput., vol. 46, pp. 816–826, 2016.
  61. Saha, U. Baruah, R. H. Laskar, S. Mishra, S. P. Choudhury, and T. K. Das, “Robust analysis for improvement of vowel onset point detection under noisy conditions,” Int. J. Speech Technol., vol. 19, no. 3, pp. 433–448, 2016.
  62. Saha, R. H. Laskar, and M. A. Laskar, “A pre-processing method for improvement of vowel onset point detection under noisy conditions,” Speech Commun., vol. 80, pp. 71–83, 2016.
  63. Roy, J. Singha, S. S. Devi, and R. H. Laskar, “Impulse noise removal using SVM classification based fuzzy filter from gray scale images,” Signal Processing, vol. 128, pp. 262–273, 2016, doi: 10.1016/j.sigpro.2016.04.007.
  64. Singha, S. Misra, and R. H. Laskar, “Effect of variation in gesticulation pattern in dynamic hand gesture recognition system,” Neurocomputing, vol. 208, pp. 269–280, 2016.
  65. K. Karsh, R. H. Laskar, and B. B. Richhariya, “Robust image hashing using ring partition-PGNMF and local features,” Springerplus, vol. 5, no. 1, 2016, doi: 10.1186/s40064-016-3639-6.
  66. Shuleenda Devi, S. Alam Sheikh, and R. Hussain Laskar, “Erythrocyte Features for Malaria Parasite Detection in Microscopic Images of Thin Blood Smear: A Review,” Int. J. Interact. Multimed. Artif. Intell., vol. 4, no. 2, p. 34, 2016, doi: 10.9781/ijimai.2016.426.
  67. Singha and R. H. Laskar, “ANN-Based Hand Gesture Recognition Using Self co-articulated Set of Features,” IETE J. Res., vol. 61, no. 6, pp. 597–608, 2015, doi: 10.1080/03772063.2015.1054900.
  68. H. Laskar, K. Banerjee, F. A. Talukdar, and K. S. Rao, “A pitch synchronous approach to design voice conversion system using source-filter correlation,” Int. J. Speech Technol., vol. 15, no. 3, pp. 419–431, 2012, doi: 10.1007/s10772-012-9164-2.
  69. H. Laskar, D. Chakrabarty, F. A. Talukdar, K. S. Rao, and K. Banerjee, “Comparing {ANN} and {GMM} in a voice conversion framework,” Appl. Soft Comput., vol. 12, no. 11, pp. 3332–3342, 2012.

National Journals

  1. D. Deb, M, Sharma, C. Choudhury, F.A. Talukdar, and R. H. Laskar, “Facial Expression Classification using Multi- Scale Histogram of Oriented Gradients”, Int. J. Signal Process. Image Process. Pattern Recognit., vol. 9, no. 4, pp. 393–404, 2021
  2. Ahmad, R. H. Laskar, A. Husain and M. Ahmed, Convolutional Neural Network Based Algorithm for Eye Center Localization, Journal of Nature Remedies Vol. 21, No. 7(S1). 2020
  3. Islam, G. R. Kumar, A. S. Shaik, and R. H. Laskar, “WT-DCT domain based image watermarking technique using SVM,” no. 3195, pp. 3195–3200, 2020.
  4. Shuleenda Devi, S. A. Sheikh, A. Talukdar, and R. H. Laskar, “Malaria Infected Erythrocyte Classification Based on the Histogram Features using Microscopic Images of Thin Blood Smear,” Indian J. Sci. Technol., vol. 9, no. 45, 2016, doi: 10.17485/ijst/2016/v9i45/94119.
  5. Dharavath, F. A. Talukdar, and R. H. Laskar, “Improving face recognition rate with image preprocessing,” Indian J. Sci. Technol., vol. 7, no. 8, pp. 1170–1175, 2014, doi: 10.17485/ijst/2014/v7i8.26.
  6. Dharavath, F. A. Talukdar, R. H. Laskar, and C. Engineering, “Performance Analysis of Pca Based Techniques for Face Authentication,” vol. 9, no. 1, pp. 3299–3306, 2015.
  7. H. Laskar, F. A. Talukdar, B. Paul, and D. Chakrabarty, “Sample reduction using recursive and segmented data structure analysis,” J. Eng. Comput. Innov., vol. 2, no. April, pp. 59–67, 2011.

 International Conferences

  1. Saidulu, R.H. Laskar, A.M. Kirupakaran, and K.S. Yadav. “Exploration of deep convolutional neural networks (via transfer learning) for handwritten characters” IEEE ICPC2T, NIT Raipur (Accepted)
  2. S. Yadav, N. Ahmed, A.M. Kirupakaran, S.A. Barlaskar and R.H. Laskar, “A holistic approach towards detection, tracking and recognition of face”. IEEE SPICES 2022 (Accepted)
  3. M. Kirupakaran, K.S. Yadav. and R.H. Laskar. “Self Co-Articulation Removal in Mid-Air Gesticulated Trajectories via a Sequence-To-Sequence Based Classification Approach Using LSTM”, DELCON 2022 (Accepted).
  4. S. Yadav, A.M. Kirupakaran, S.A. Barlaskar, N. Ahmad, and R.H. Laskar, and M.K. Bhuyan “Recognition of Isolated Characters across Different Input Interfaces using 2D DCNN”, 2021 IEEE Region 10 Conference (TENCON), Auckland, New Zealand (7-10 December 2021).
  5. Ahmad, K.S. Yadav, M. Ahmad, R.H. Laskar, A. Hossain, “ Eye center localization in a facial image based on faster RCNN deep learning model in practical environment”, 2021 IEEE Region 10 Conference (TENCON), Auckland, New Zealand (7-10 December 2021).
  6. S. Yadav, and R.H. Laskar, “Facial Expression Recognition using Facial Features Detection using the Fusion of Classifiers in Real Time Scenario”, 4th IEEE- ISCON 2019. doi:10.1109/ISCON47742.2019.9036240 262 267.
  7. Prasad, D. Mishra, and R.H. Laskar, “Optimal New Node Insertion for Strong Minimum Energy Topology in IoT Networks”. In 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC)(pp. 1-4), 2021, IEEE.
  8. Das, B. K. Biswas, S. Bandyopadhyay, and R.H. Laskar,. “Deep Learning Techniques for Early Detection of Diabetic Retinopathy: Recent Developments and Techniques”. In 2020 5th International Conference on Computing, Communication and Security (ICCCS) (pp. 1-7). 2020, IEEE.
  9. P.J. Dutta, D. Sarma, M.K. Bhuyan, R.H. Laskar, “Semantic Segmentation based Hand Gesture Recognition using Deep Neural Networks”, in: NCC, IEEE, 2020: pp. 1–6.
  10. D. Deb, C. Choudhury, M. Sharma, F. A. Talukdar, and R.H. Laskar, “Frontal Facial Expression Recognition using Parallel CNN Model”. In 2020 National Conference on Communications (NCC)(pp. 1-5). IEEE.
  11. K. Bhuyan, A. K. Talukdar, P. Gupta, and R.H. Laskar “Low Cost Data Glove for Hand Gesture Recognition by Finger Bend Measurement”. In 2020 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET) (pp. 25-31). IEEE.
  12. Shome, R.H. Laskar, R. Kashyap and S. Bandyopadhyay, “A Robust Technique for End Point Detection Under Practical Environment”. In International Conference on Machine Learning, Image Processing, Network Security and Data Sciences(pp. 131-144).2020, Springer, Singapore.
  13. Ahmed, R. Ahmed, A. J. Thakuria, and R.H. Laskar “ Eye Center Guided Constrained Local Model for Landmark Localization in Facial Image”, In 2019 9th Annual Information Technology, Electromechanical Engineering and Microelectronics Conference (IEMECON) (pp. 168-173). IEEE.
  14. Ahmed and R.H. Laskar “Analyzing the Effect of Eye Center Localization on Accurate Landmark Localization in a Facial Image”, In 2019 International Conference on Automation, Computational and Technology Management (ICACTM) 2019 Apr 24 (pp. 544-549). IEEE.
  15. Bisharad and R.H. Laskar “Music Genre Recognition Using Residual Neural Networks”, In TENCON 2019-2019 IEEE Region 10 Conference (TENCON) 2019 Oct 17 (pp. 2063-2068). IEEE.
  16. S. Yadav, J. Singha, and R.H. Laskar “Facial Expression Recognition using Facial Features Detection using the Fusion of Classifiers: In a real-time scenario.” 2019 4th International Conference on Information Systems and Computer Networks (ISCON). IEEE, 2019.
  17. China, D. Bisharad, and R.H. Laskar “Automatic Classification of Indian Languages into Tonal and Non-tonal Categories Using Cascade Convolutional Neural Network (CNN)-Long Short-Term Memory (LSTM) Recurrent Neural Networks”, In 2018 International Conference on Signal Processing and Communications (SPCOM) 2018 Jul 16 (pp. 492-496). IEEE.
  18. Misra, and R.H. Laskar, “Multi-Level Analysis of Bit-Plane Based GLAC Feature and other Existing Texture Features for a Robust Hand Detection System.” 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, 2018.
  19. Islam, G. Mallikharjunudu, A. S. Parmar, A. Kumar, and R.H. Laskar, “SVM regression based robust image watermarking technique in joint DWT-DCT domain”, Intelligent Computing, Instrumentation and Control Technologies (ICICICT), 2017 International Conference on (pp. 1406-1413). IEEE
  20. C. Alphonsa, C. C. (Bhanja), A. Laskar and R.H. Laskar ,“ Spectral Feature Based Automatic Tonal and Non-Tonal Language Classification,” Intelligent Computing, Instrumentation and Control Technologies (ICICICT), 2017 International Conference on (pp. 1715-1720). IEEE
  21. Singha, V.B. Semwal, R.H. Laskar, “An Accurate Hand tracking system for complex background based on modified KLT Tracker,” IEEE TENCON, Singapore, November 2016. (scopus)
  22. Choudhury, C. C. Bhanja, S. Tameem, C Choudhury, R.H. Laskar, and Aniket Pramanik, “A comparative study of discriminative approaches for classifying languages into tonal and non-tonal categories at syllabic level,” In Computing for Sustainable Global Development (INDIACom), 2016 3rd International Conference on, pp. 1260-1264. IEEE, 2016.
  23. S. Devi, A. Roy, M. Sharma, R.H. Laskar, “kNN Classification based Erythrocyte Separation in Microscopic Images of Thin Blood Smear”, IEEE 2nd International Conference CINE, 11th January 2016.
  24. Misra, and R.H. Laskar, “ Multi-factor Analysis of Texture and Color-Texture Features for Robust Hand Detection in Non-Ideal Conditions,” IEEE TENCON ,2017. (Accepted)(scopus)
  25. Misra, and R.H. Laskar, “ Taxonomy of Texture and Color-Texture Features for Developing Hand Detection System under Non-Ideal Conditions,” INDICON, IEEE, 2017. (Accepted) (scopus)
  26. Roy, J. Singha, R.H. Laskar, “Impulse Noise Removal from Color Images: An Approach Using SVM Classification Based Fuzzy Filter,” TENCON 2017-2017 IEEE Region 10 Conference, pp. 1-5. IEEE, 2017.(scopus)
  27. K. Karsh, R.H. Laskar, “Modified fastICA algorithm for separation of mixed images” in proc. IEEE Int. conf. ,ICCCT, 26-28 Sept. 2014, MNNIT Alahabad. DOI: 10.1109/ICCCT.2014.7001522.
  28. K. Karsh, and R.H. Laskar. “Perceptual robust and secure image hashing using ring partition- PGNMF.” TENCON 2015-2015 IEEE Region 10 Conference. IEEE, 2015.(scopus)
  29. K. Karsh, R.H. Laskar, and Bhanu Bhai Richhariya, “Robust and Secure Hashing using Gabor filter and Markov Absorption Probability” IEEE Int. Conference in Taminadu 6-8 April 2016
  30. K. Karsh, R. H.Laskar, “Image splicing detection using gaussian or defocus blur ” IEEE Int. Conference in Taminadu 6-8 April 2016
  31. K Das, S. Misra, S.P Choudhury, D.K Sah, U. Baruah, and R.H laskar, “Comparison of DTW Score and Warping path for Text Dependent Speaker Verification System”, IEEE International Conference Circuit, Power And Computing Technologies (ICCPCT – 2015), 19th – 20th March 2015.
  32. Misra, T. K. Das, P. Saha, U. Baruah, and R.H. Laskar,“Comparison of MFCC and LPCC for a fixed phrase speaker verification system, time complexity and failure analysis”, IEEE International Conference Circuit, Power And Computing Technologies (ICCPCT – 2015), 19th – 20th March 2015, Tamilnadu, India.
  33. P. Choudhury, T. K. Das, R.H. Laskar, P. Saha, and U. Baruah, “Comparative Analysis of Two Different System’s Framework for Text Dependent Speaker Verification”, IEEE International Conference Circuit, Power And Computing Technologies (ICCPCT – 2015), 19th – 20th March 2015, Tamilnadu, India.
  34. P. Choudhury, S.Misra, T. Das, and R.H. Laskar, “Text Dependent Speaker Verification using Algebraic Approach (AA) method and DTW under limited data condition”, International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS- 2015), 19th-20th March 2015, Coimbatore. Tamil Nadu, India.
  35. Roy, and R.H. Laskar, “Impulse noise removal based on SVM classification” IEEE Tencon 2015 (scopus)
  36. Roy, S.S. Devi, R.H. Laskar, “Impulse noise removal from gray scale images based on ANN classification based Fuzzy filter”, In Computational Intelligence and Networks (CINE), 2016 2nd International Conference, pp. 97-101. IEEE, 2016.
  37. Manam, A. Roy, R.H. Laskar, F. A. Talukdar, “Removal of Fixed Valued Impulse Noise Using Global Noise Statistics Based Adaptive Histogram Fuzzy Filter” In TENCON 2017-2017 IEEE Region 10 Conference, pp. 1-5. IEEE, 2017.
  38. Shome, S. A. Barlaskar, and R.H. Laskar, “Significance of frame size and frame shift on vowel on set point detection,” Recent Trends in Electronics, Information & Communication Technology (RTEICT),” IEEE International Conference on, pp. 1272-1276. IEEE, 2016.
  39. A. Barlaskar, M. A. Laskar, N. Shome, and R.H. Laskar, “Study on the varying degree of speaker identity information reflected across the different MFCCs.” In Inventive Computation Technologies (ICICT), International Conference on, vol. 1, pp. 1-6. IEEE, 2016.
  40. Das, A. Medhi, R. K. Karsh, and R.H. Laskar, “Image splicing detection using Gaussian or defocus blur. In 2016 International Conference on Communication and Signal Processing (ICCSP)(pp. 1237-1241). IEEE.
  41. K. Karsh, R.H. Laskar, and B. B Richhariya, “Robust and secure hashing using Gabor filter and Markov absorption probability” In 2016 International Conference on Communication and Signal Processing (ICCSP)(pp. 1197-1202). IEEE.
  42. P. Choudhury, S. Misra, T. K. Das, and R.H. Laskar, “ext dependent speaker verification using Algebraic Approach (AA) method and DTW under limited data condition”. In 2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS)(pp. 1-5). IEEE.
  43. Kumar, T. K. Das, and R.H. Laskar, “Significance of acoustic features for designing an emotion classification system”. In 8th International Conference on Electrical and Computer Engineering(pp. 128-131). 2015, IEEE.
  44. Dharavath, F. A.Talukdar, and R.H. Laskar, “Facial image processing in conjunction with password for intelligent access control”. In TENCON 2015-2015 IEEE Region 10 Conference(pp. 1-5). IEEE.
  45. Misra, T. K. Das, and R.H. Laskar, “Analysing Different Model’s behaviour for Hilbert magnitude and its envelope of LP-residual signal”. In 2015 International Symposium on Advanced Computing and Communication (ISACC)(pp. 1-4). IEEE.
  46. P. Choudhury, T.K. Das, P. Saha, R.H. Laskar, and U. Baruah, “Comparative analysis of two different system’s framework for text dependent speaker verification” In 2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015](pp. 1-5). IEEE.
  47. P. Choudhury, N. Shome, T.K. Das, S. Misra, and R.H. Laskar, “Effects of fuzzy parameter on text dependent speaker verification under uncontrolled noisy environment”. In 2015 Global Conference on Communication Technologies (GCCT)(pp. 446-451). IEEE.
  48. S. Devi, R. Kumar, and R.H. Laskar, “Recent advances on erythrocyte image segmentation for biomedical applications”. In Proceedings of fourth international conference on soft computing for problem solving(pp. 353-359). 2015, Springer, New Delhi.
  49. Roy, and R.H. Laskar, “Impulse noise removal based on SVM classification”. In TENCON 2015-2015 IEEE Region 10 Conference(pp. 1-5). IEEE.
  50. Misra, T. K. Das, S. P. Choudhury, R.H. Laskar, U. Baruah and P. Saha,” Choosing Optimal Value for Fuzzy Membership in FCM Algorithm for LP-Residual Input Features”, .Procedia Computer Science, 2016 54,542-548.
  51. Misra, T. K. Das, R.H. Laskar, “Analysing Different Model’s behaviour for Hilbert magnitude and FFT magnitude of LP-residual signal”, IEEE, ISACC, 2015.
  52. S. Devi, R. Kumar, R.H.Laskar, “Recent Advances on Erythrocyte Image Segmentation for Biomedical Applications.” Proceedings of Fourth International Conference on Soft Computing for Problem Solving, Springer India, 2015.
  53. K. Karsh, R.H. Laskar, “Perpetual robust and secure image hashing using ring partition-PGNMF”, in proc. IEEE Int. conf. ,TENCON , 1-4 Nov,2015, Macau. DOI: 10.1109/TENCON.2015.7372950 (scopus)
  54. Dharvath, F. A. Talukdar, and R.H. Laskar, “Facial image processing in conjunction with password for intelligent access control,” TENCON 2015 IEEE Region 10 conference, IEEE, 2015, pp. 1-5 (scopus)
  55. Dharavath, A. Gaini, F. A. Talukdar and R.H. Laskar, “Impact of Image Preprocessing on Face Recognition: A Comparative Analysis”, ICCSP, 2014.
  56. Kumar, T. K. Das, R.H. Laskar, “Significance of Acoustic Features for designing an Emotion Classification System”, 8th International Conference on Electrical & Computer Engineering (ICECE – 2014 978-1-4799-4166-7/14/$31.00 ©2014 IEEE), 20-22 December 2014, Dhaka, Bangladesh, pp. 128-131.
  57. K. Karsh, R.H. Laskar, “Modified fastica algorithm for separation of mixed images”, 2014 International Conference on Computer and Communication Technology (ICCCT), 26-28 Sept. 2014.
  58. Krishna, F. A. Talukdar, R.H. Laskar,”Face based access control system: TFA approach”, International Conference on Advances in Electronics, Computers and Communications (ICAECC), 2014, pp.1-5
  59. Mandia , D. Krishna , R.H. Laskar, “Improving Image Compression Ratio: A novel Approach,” IEEE International Conference on Advances in Engineering and Technology, IEEE, 2014, pp. 1-4
  60. Dharavath, R.H. Laskar, F. A. Talukdar, “Qualitative study on 3D face databases: A review”, Published in Proceeding of INDICON 2013.
  61. Mandia, K. Dharavath and R.H. Laskar, “Improving Image Compression Ratio: A Novel Approach”, IEEE-ICRTIT 2014.
  62. H. Laskar, K. Banerjee and D. Basak, “Removal of High Density Salt and Pepper Noise from Color Images through Variable Window Size”, International Conference on Circuits, Power and Computing Technologies (ICCPCT), 2013.
  63. Dharavath, F. A. Talukdar and R.H. Laskar, “Study on biometric authentication systems, challenges and future trends: A review”, Published in Proceeding of ICDIP 2013.
  64. H. Laskar, Priyesh Sethia, Sriyans Patwa, A. Sarkar and G. Snigdha, “Offline Handwritten Character Recognition”, in Proc. of ICAEE, Dhaka, Bangladesh, 2012.
  65. H. Laskar, S. Baishya, S. K. Kar, R. Sharma, N. Medhi, and R. D. Purkayastha, “Color imagedenoising in wavelet Domain using adaptive thresholding incorporating the human Visual System,” Proc. of International Conference on Electrical and Computer Engineering (ICECE), IEEE, pp. 498 – 501, 2010
  66. H. Laskar, F.A. Talukdar, B. Bora, K. S. P. Fernando, J. Anthony and L. Doley, “Complexity reduced multi-tier perceptual based partial encryption for secure speech communication,” in Proc. of TENCON 2009, IEEE, Singapore, pp. 79, 2010.
  67. V Ramanjaneyulu, S. Baishya and H. Laskar, “Optimization consideration of un-doped raised source/drain FinFET,” Proc. of Int. Conf. on Mechanical and Electronics Engineering (ICMEE), pp. V1-150 – V1-153, 2010.
  68. H. Laskar, B. Bhowmick, R. Biswas, and S. Kar, “Removal of impulse noise from color images,” in Proc. of TENCON 2009, IEEE, Singapore, pp. 79, 2009.
  69. H. Laskar, F. A. Talukdar, R. Bhattacharjee and S. Das,“ Voice conversion using SVM for vocal tract modification and codebook based model for pitch contour modification,” in Proc. of TENCON 2008, IEEE, Hyderabad, pp. 1-6, 2008

National Conferences

  1. P.J. Dutta, D. Sarma, M.K. Bhuyan, and R.H. Laskar. “Semantic Segmentation based Hand Gesture Recognition using Deep Neural Networks”, National Conference on Communication 2020. doi:10.1109/NOC48643.2020.905590.
  2. Sharma, Dutta, H.P.J. Dutta, M.K. Bhuyan, and R.H. Laskar. “Hand Gesture Localization and Classification by Deep Neural Network for Online Text Entry,” ASPCON 2020, Kolkata, India, 2020, pp. 1-5.
  3. Kabra, C. Agrawal, H.P.J. Dutta, M.K. Bhuyan, and R.H. Laskar, “Vision Based e-Communicator”, ASPCON 2020, Kolkata, India, 2020, pp. 1-5.
  1. P. P. Shome, T. Khan, and R.H. Laskar, “Design and Performance Comparison of Printed Monopole Antennas with Elliptical Radiator for UWB Applications” In 2020 URSI Regional Conference on Radio Science (URSI-RCRS) (pp. 1-4). IEEE.
  2. S. S. Devi, R.H. Laskar, “ Non-parametric statistical test based feature selection and classification of malaria-infected erythrocyte using microscopic blood smear images”, INDIACom – 2018.
  3. S. S. Devi, R.H. Laskar, “ Color Channel Difference Based Multilevel Thresholding for Malaria Parasite Segmentation,” INDIACom – 2018. (Accepted) (scopus)
  4. S. P. Choudhury, N. Shome, S. Misra, T. Das, R.H. Laskar, “Effects of fuzzy parameter on text dependent speaker verification under uncontrolled noisy environment,” Global Conference on Communication Technologies (ICCT-2015), 23rd-24th April, Tamil Nadu, India.

BOOKS/CHAPTERS

  1. Baurah, R.H. Laskar, and B. Purkayastha, “Speaker Verification Systems : A Keywords Speaker verification system,” p. 9683, 2020.
  2. C. Bhanja, M. A. Laskar and R. H. Laskar, “Formants and Prosody based Automatic Tonal and Non-tonal Language Classification of North East Indian,” p. 9680, 2020.
  3. Reddy, U. Arya, R.K. Karsh, R.H. Laskar, “Hash Code Based Image Authentication Using Rotation Invariant Local Phase Quantization”. In: Elçi A., Sa P., Modi C., Olague G., Sahoo M., Bakshi S. (eds) Smart Computing Paradigms: New Progresses and Challenges. Advances in Intelligent Systems and Computing, vol 766. 2020, Springer, Singapore. https://doi.org/10.1007/978-981-13-9683-0_11
  4. S. Devi, V. K. Solanki, and R. H. Laskar, “Recent advances on big data analysis for malaria prediction and various diagnosis methodologies,” Handb. Data Sci. Approaches Biomed. Eng., pp. 153–184, 2019, doi: 10.1016/B978-0-12-818318-2.00006-4
  1. U. Baruah, R.H. Laskar, B. Purkayashtha, “Speaker Verification Systems: A Comprehensive Review. In: Elçi A., Sa P., Modi C., Olague G., Sahoo M., Bakshi S. (eds) Smart Computing Paradigms: New Progresses and Challenges. Advances in Intelligent Systems and Computing, vol 766. Springer, Singapore. https://doi.org/10.1007/978-981-13-9683-0_21
  2. M. Islam, A. Roy, and R.H. Laskar, “Study on watermarking effect on different sub bands in joint DWT-DCT based watermarking scheme”, Special Issue International Journal of Computer Science and Information Security (IJCSIS), Vol. 14 CIC 2016
  3. R.H. Laskar, F.A. Talukdar, R. Bhattacharjee, and S. Das, “Voice conversion by mapping the spectral and prosodic features using support vector machine”. In Applications of Soft Computing (pp. 519-528). Springer, Berlin, Heidelberg.
  4. R. H. Laskar, M. Choudhury, K. Chakraborty and S. Chakraborty, “A Joint DWT-DCT Based Robust Watermarking Algorithm For Ownership Verification Of Digital Images,” in Proc. of CCIS, Springer, pp. 482- 491, 2011. (Selected for Best paper award at international conference on Information Processing (ICIP) 2011, Bangalore).
  5. R. H. laskar, U. Kalita and M. Phukan, “A Study of Motion Estimation in Vector Based Super-Resolution Analysis For Pure Translational Motion, in Proc. of CCIS, Springer, pp. 492-501, 2011.
  6. R. H. Laskar, F. A. Talukdar, R. Bhattacharjee and S. Das, “ Voice conversion by mapping the vocal tract and prosodic features using support vector machines,” Advances in Soft Computing, Springer (Book Series), vol. 58, pp. 519-528, 2009.
  7. K. S. Rao, R. H. Laskar and S. Koolagudi, “Voice Conversion by mapping the features at syllable level,” LNCS, Springer (Book Series), vol. 58, no. 5, pp. 479-486, 2007.
  8. Dharavath, F. A. Talukdar, R. H. Laskar, and N. Dey, “Face Recognition Under Dry and Wet Face Conditions,” Intelligent Techniques in Signal Processing for Multimedia Security Studies in Computational Intelligence, pp. 253–271, 2016.

PROFESSIONAL MEMBERSHIPS

  • Senior Member, IEEE
  • Fellow, IETE
  • Fellow, IEI

ADMINISTRATIVE RESPONSIBILITIES

  • 2022 – Present, Head of the Department, ECE Department, NIT Silchar
  • 2013 – 2016, Head of the Department, ECE Department, NIT Silchar
  • Member, Department PhD Monitoring Committee (DPMC)
  • Member, Department Postgraduate Program Committee
  • Member, Departmental Undergraduate Program Committee (DUPC)
  • Member, Institute Purchase Committee (IPC)
  • Member of Departmental Purchase Committee (Both ECE and ME)
  • Member Institute PhD Admission Committee (IPAC)
  • Chairman and member for various M.Tech and PhD admission committees of NIT Silchar
  • Member of Department Postgraduate program Committee (Electrical Engg. Department)
  • Member of Department Undergraduate program Committee (CSE Department)
  • Chairman and member (expert) for Doctoral committees of around 20 PhD students of ECE, CSE, EE and ME Departments of NIT Silchar
  • Syllabus preparation committee of B.Tech 2012-2018 of ECE Department NIT Silchar,
  • Program Coordinator of M.Tech in CSPE, ECE Department
  • Coordinator for NBA B.Tech (ECE), 2014
  • Coordinator for NBA in M.Tech CSPE (2018)
  • Lab in charge of different B.Tech and M.Tech Laboratories, ECE Department,
  • Established 02 number of research laboratories namely Speech and Image Processing Laboratory, Image and Computer Vision Laboratory,
  • Started the M.Tech Program in Communication and Signal Processing at NIT Silchar in 2013.
  • Design the syllabus for the said program.
  • Started the M.Tech program in Microelectronics & VLSI Design along with Professor S. Baishya and Dr. S. Rai in the year 2007.

Ph.D. Scholars Guided

  1. Krishna Dharavath, 2017, Study on some key issues in face recognition for intelligent access control systems under practical scenarios. (Co-supervisor)
  2. Joyeeta Singha, 2018, Dynamic hand gesture recognition under varying practical scenarios for human-computer interaction.
  3. Salam Shuleenda Devi, 2018, Computer assisted malaria-infected erythocyte classification and life-cycle stages analysis using microscopic images of thin blood smear.
  4. Ram Kumar Karsh, 2018, Perceptually robust and secure image hashing techniques for content authentication.
  5. Ujwala Barauh, 2018, A study of the significance of different acoustic features and modelling techniques for the design of text dependent speaker verification system. (Co-supervisor)
  6. Amarjit Roy, 2018, Design and implementation of various filtering techniques for removal of impulse noise from digital images.
  7. Chuya China Bhanja, 2020, Development of an automatic hierarchy-based spoken language identification system
  8. Mohiul Islam, 2020, Design and development of robust imperceptible watermarking techniques for copyright protection of digital images
  9. Mohammad Azharuddin Laskar, 2020, Machine learning based acoustic models for text-dependant speaker verification.
  10. Songhita Misra, 2020, Design and development of a virtual text-entry interface system based on dynamic hand gestures
  11. Manir Ahmed, 2020, Design and development of human eye center localization methods for uncontrolled environments
  12. Sumon Modak, 2021, Some investigations on electromagnetic interference rejection in UWB antennas using EBG technology. (Co-supervisor).

As of now, Nirpome Shome, Saharul Alom Barlaskar, Naseem Ahmad, Kuldeep Singh Yadav, Anish Monsley Kirupakaran, Chinta Sri Pothu Raju, Banala Sarita, Bhumika Karsh, Masuma Aktar, Ashfaq Hussain are pursuing their Ph.D, under my guidance.


M.Tech. Scholars Guided

  1. Amarjit Roy, 2014, Improved de-noising filters for removal of impulse noise from color images
  2. Rinku Rabidas, 2014, A fast and improved method for face recognition using SVM.
  3. Sandeep Mandia, 2014, Digital image compression – A DWT, DCT based hybrid model.
  4. Songhita Misra, 2015, Modelling and analysis of LP-residual for its application in automatic speaker verification system over noisy environment
  5. Partha Saha, 2015, Development of robust system for vowel onset point detection and its significance in various application of speech processing.
  6. Suman Paul Choudhry, 2015, Significance and effects of modelling techniques in the development of text dependent speaker verification system under practical environment
  7. Tushar Kanti Das, 2015, Significance of acoustic features for the development of text dependent speaker verification system
  8. Nirupam Shome, 2016, A study on difference pre-processing techniques applied to text-dependent speaker verification system
  9. Manish Sharma, 2016, Automatic malarial parasite detection based on the segmentation of microscopic blood smear images
  10. Saharul Alom Barlaskar, 2016, A study on text- dependent speaker verification with emphasis on spectral feature and different modelling techniques
  11. Alice Celin Alphonsa, 2017, A study on automatic tonal and non-tonal classification of languages using spectral features
  12. Santanu Borgohain, 2017, FPGA implementation of rabk order filter using multiple winner take all based on linear programming.
  13. Suman Saha, 2019, A face frontalization technique using generative adversial networks
  14. Somuya Gupta, 2021, Speaker independent physiological model for estimating heart rate

At present, Naragoni Saidulu is doing his M.Tech project under my guidance.


B.Tech. Projects

  1. Bhargov Bora, K.S.P. Fernando, Joseph Anthony, Lokhinath Doley, 2009, Perception based partial encryption system for secure speech communication.
  2. Bancha Dutta, Shweta Kumari, N. Nandarani Chanu, Ajay Kumar Panchore, 2011, Multimodal biometric person recognition using speech and fingerprint features
  3. Arpita Gang, Arkadyoti Dutta, Jharanli Saikia, Tushar Kanti Das, 2013, Development of text dependent speaker verification system.
  4. Tameem Salman Choudhury, Biplav Schodhury, Khushboo Singh, Tanuja Das, 2015, Pre-classification based automatic language identification.
  5. Souradeep Deb, Nabangshu Sinha, Mukesh Pareek, Pranjil Gogi, 2015. Quantitative analysis of contribution of magnitude and phase information in mage reconstruction and its applications
  6. Sanjoy Debnath, Golap Borah, Jitendra Das, Bikiran Choudhury, 2015, Speaker authentication using text-independent method by i-vector PLDA.
  7. Ashish Singh, Thummalapally Sai Nandan Reddy, Munesh Sr. Meena, 2016, Face detection based lecture attendance system.
  8. Thota Sri Harsha, Kundan Kumar, Ankit Kumar, 2016, A study on different fog removal techniques from gray and color images
  9. Lalit Manam, 2017, Restoration of images cirrupted by various noises using fuzzy based approaches.
  10. Victor Liklai Sana, Sumit Singh, Anshu Gangwar, 2017, Automatic detection of iris using edge information.
  11. Gourabathuni Mallikharjunudu, Amam Singh Parmar, Akash Kumar, 2017, Robust digital image watermarking scheme invariant to geometrical attack.

Presently, Ajay Talukdar, Divyanshu Saxena, Sreeja Kadari, Yuvaraj Sai are doing their B.Tech project under my guidance.


Workshops Organized

  1. Workshop on Image and Speech Signal Processing, NIT Silchar, 2008, coordinator,
  2. Short term course on Recent trends in wired & wireless communication & networking, NIT Silchar, 2008, coordinator
  3. Workshop on Analog/Mixed signal design, NIT Silchar, 2012, coordinator
  4. Signals & Systems, NIT Silchar, 2012, coordinator
  5. Two Days Hands-On Workshop On “Embedded Systems in the IoT era, NIT Silchar, 2015, coordinator
  6. Speech Technology Solutions for North Eastern States of India (STeSNE)-2017, NIT Silchar, 2015, coordinator
  7. Computer Vision and Pattern Recognition using Machine Learning (CVPRML-19), NIT Silchar, 2019, Convenor
  8. Deep Learning for Visual Computing and Communication (DeLViCCo-20), NIT Silchar – NIT Patna, 2020, Convenor
  9. Optimization and Intelligence in Engineering Applications (IEEE OIEEA-2021), NIT Silchar, Co-convenor
  10. Role of Artificial Intelligence in Bio-Medical and Health Informatics (RAIBHI-2022), NIT Silchar, 2022, Chairperson.