Dr. Sunil Kumar is currently working as an Assistant Professor in the Department of Information Technology, Atal Bihari Vajpayee - Indian Institute of Information Technology & Management Gwalior. Prior to this, he was associated with Thapar Institute of Engineering and Technology, Patiala, as a Visiting Assistant Professor.

He completed his Ph.D. from the Indian Institute of Technology (IIT) Guwahati in the area of Image processing and Computer Vision in 2017. More specifically, his thesis work is on recognizing facial expressions from multi-view/arbitrary face images. He did his M.Tech from NIT Rourkela in the year of 2012. His research interest includes Signal and Image processing, Computer Vision, Pattern Recognition, Soft Computing, and Artificial intelligence. Currently, Dr. Kumar is working on developing an autonomous system for interpreting Indian Sign Language.  Interested ones can contact me or send me an email at snk@iiitm.ac.in

INDUSTRIAL VISIT:

1.)  Semi-conductor laboratory (SCL), Govt. of India, Mohali

2.)  Radiocraft Pvt. Ltd

3.)  TinyMesh Pvt Ltd., and EME Technology, Mohali. 

LIST OF PUBLICATIONS:

JOURNALS      :

[1]   Sunil Kumar, M. K. Bhuyan, Brian C. Lovell, and Yuji Iwahori, “Hierarchical Uncorrelated Multiview Discriminant Locality Preserving Projection for Multiview Facial Expression Recognition,” Journal of Visual Communication and Image Representation, Elsevier, vol. 54, pp. 171–181, May 2018.

[2] Sunil Kumar, M.K. Bhuyan and B. K. Chakraborty, “Extraction of informative regions of a face for facial expression recognition,” IET Computer Vision, vol. 10, no. 6, pp. 567–576, Feb 2016.

[3] Sunil Kumar, M.K. Bhuyan and B. K. Chakraborty, “Extraction of texture and geometrical features from informative facial regions for sign language recognition,” Journal on Multimodal User Interfaces, Springer, vol. 11, no. 2, pp. 227–239, Jan 2017.

[4] B. K. Chakraborty, M.K. Bhuyan and Sunil Kumar “Combining image and global pixel distribution model for skin color segmentation,” Pattern Recognition Letters, Elsevier, vol. 88, pp. 33–40, Mar 2017.

[5] Subrajeet Mohapatra, Dipti Patra, Sunil Kumar, and Sanghamitra Satpathy, “Lymphocyte image segmentation using functional link neural architecture for acute leukemia detection,” Biomedical Engineering Letters, Springer, vol. 2, no. 2, pp. 100–110, Jun 2012.

[6]  Sunil Kumar, Bhuyan, M.K. & Iwahori, Y. Multi-level uncorrelated discriminative shared Gaussian process for multi-view facial expression recognition. Vis Comput 37, 143–159 (2021). https://doi.org/10.1007/s00371-019-01788-2

CONFERENCES:

[1] Sunil Kumar, M.K. Bhuyan and B. K. Chakraborty, “An efficient face model for facial expression recognition,” in IEEE Proceedings of Twenty Second National Conference on Communication (NCC), Guwahati, Guwahati, India, Mar 2016.

[2] Sunil Kumar, M.K. Bhuyan and B. K. Chakraborty, “Uncorrelated multiview discriminant locality preserving projection analysis for multiview facial expression recognition,” in Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing. ACM, Guwahati, India, Dec 2016.

[3] Sunil Kumar, and M.K. Bhuyan, “Neutral expression modeling in feature domain for facial expression recognition,” in IEEE Proceedings of Recent Advances Intelligent Computational Systems (RAICS), Kerela, India, Jun 2015.

[4] Biplab Ketan Chakraborty, M. K. Bhuyan, and Sunil Kumar, “Fusion-based skin detection using image distribution model,” in Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing. ACM, Guwahati, India, Dec 2016.

[5] Biplab Ketan Chakraborty, M. K. Bhuyan, and Sunil Kumar, “Adaptive propagation-based skin segmentation method for color images,” in IEEE Proceedings of Twenty Second National Conference on Communication (NCC), Guwahati, Guwahati, India, Mar 2016.

[6] Biplab Ketan Chakraborty, M. K. Bhuyan, and Sunil Kumar, “A Weighted Skin Probability Map for skin color segmentation,” in IEEE Proceedings of Twenty Second National Conference on Communication (NCC), Guwahati, Guwahati, India, Mar 2016.

[7] Subrajeet Mohapatra, Dipti Patra, Sunil Kumar, and Sanghamitra Satpathi, “Kernel induced rough c-means clustering for lymphocyte image segmentation,” in Intelligent Human Computer Interaction (IHCI), 2012 4th International Conference on, Kharagpur, India, Mar 2012. 

[8] Divya, S. Kumar, D. Sadhya and S. S. Rathore, "Efficient Text Normalization via Hybrid Bi-directional LSTM," 2021 IEEE Bombay Section Signature Conference (IBSSC), Gwalior, India, 2021, pp. 1-6, doi: 10.1109/IBSSC53889.2021.9673310.

[9] S. Tewari, U. Agrawal, S. Verma, S. Kumar, and S. Jeevaraj, "Ensemble Model for COVID-19 detection from chest X-ray Scans using Image Segmentation, Fuzzy Color, and Stacking Approaches," 2020 IEEE 4th Conference on Information & Communication Technology (CICT), Chennai, India, 2020, pp. 1-6, doi: 10.1109/CICT51604.2020.9312076.