Assistant Professor

Dr Ravi Kant Kumar

Department of Computer Science and Engineering

Interests

  1. Image Processing
  2. Computer Vision
  3. Machine Learning

Education

2019

National Institute of Technology,
Durgapur, India
Ph.D.

2008

VIT University, Vellore
MCA

2014

Central University of Hyderabad,
India
M.Tech.

Experience

  • 4.5 Months – Assistant Professor – Madanapalle Institute of Technology and Science, Madanapalle, Andhra Pradesh, India.
  • 1 Year- Worked as a Research Intern - IDRBT, Hyderabad, India.
  • 1 Year – Software Engineer – Pellucid Healthcare Network Pvt. Ltd., Chennai, India.

Research Interest

  • Computational Modelling of Visual Attention using Low-Level and High Level Features.
  • Design and Development of Algorithms for Saliency based Intelligent Camera.
  • Mathematical Modelling of Computer Science Problems.

Awards

  • (2014 – 2019) – Institute Fellowship (During PhD) – MHRD, Govt. of India.
  • (2012 – 2014) – GATE Fellowship (During MTech) – MHRD, Govt. of India.
  • 2013 – 1st Prize for Software Designing Competition (As a Team) – JP Morgan.
  • 2006 – IBM Great Mind Challenge – IBM

Memberships

  • Memberships in professional associations to be listed

List of Publications

Journals

  • Kumar, V., Lalotra, G.S. and R K Kumar, 2022. Improving performance of classifiers for diagnosis of critical diseases to prevent COVID risk. Computers and Electrical Engineering, 102, p.108236 (SCI Indexed, IF: 2.1)
  • Sharma, A., Bachate, R.P., Singh, P., Kumar, V., R K Kumar, Singh, A. and Kadariya, M., 2022. Parallel Big Bang-Big Crunch-LSTM Approach for Developing a Marathi Speech Recognition System. Mobile Information Systems.
  • Gupta, J.P., Singh, A. and R K Kumar, 2021. A computer-based disease prediction and medicine recommendation system using machine learning approach. Int J Adv Res Eng Technol (IJARET), 12(3), pp.673-683.
  • Tripathi, D., Ramachandra Reddy, B., Padmanabha Reddy, Y.C.A., Shukla, A.K., R K Kumar and Sharma, N.K., BAT algorithm based feature selection: Application in credit scoring. Journal of Intelligent & Fuzzy Systems, (Preprint), pp.1-10, 2021, Impact Factor: 1.851
  • R K Kumar, J. Garain, D. R. Kisku and G. Sanyal, "Constraint Saliency-Based Intelligent Camera for Enhancing Viewers Attention towards Intended Face", Pattern Recognition Letters, Elsevier, Volume 139, November 2020, Pages 69-78 (SCI Indexed, IF: 2.82 )
  • R K Kumar, J. Garain, D. R. Kisku and G. Sanyal, “Guiding Attention of Faces through Graph Based Visual Saliency (GBVS)”, Cognitive Neurodynamics, Springer, 13 (2), pp.125-149 Springer (SCI Indexed, IF: 3.01), January 2019.
  • J. Garain, S.R. Mishra R K Kumar, D. R. Kisku and G. Sanyal, 2018. Bezier Cohort Fusion in Doubling States for Human Identity Recognition with Multifaceted Constrained Faces. Arabian Journal for Science and Engineering, pp.1-17. (SCI Indexed, IF: 1.58)
  • R K Kumar, J. Garain, D. R. Kisku and G. Sanyal, . Estimating Normalized Attention of Viewers on Account of Relative Visual Saliency of Faces (NRVS). International Journal of Software Engineering and Its Applications, 9(7), pp.85-92, 2015 (Scopus Indexed).
  • R K Kumar, J. Garain, D. R. Kisku and G. Sanyal, "Attending Salient Face in the Crowd using Top-Down followed by Bottom-up Mechanism", International Journal of Control Theory and Applications, Vol. 9, No. 41, pp. 591-598, 2016,(Scopus Indexed).
  • J. Garain, R K Kumar, G. Sanyal and D. R. Kisku, "Cohort Selection of Specific User Using Max-Min-Centroid-Cluster (MMCC) Method to Enhance the Performance of a Biometric System", International Journal of Security and Its Applications, Vol. 9, No. 6, pp. 263-270, 2015, (Scopus Indexed).
  • J. Garain, R K Kumar, D. R. Kisku and G. Sanyal, 2019. Addressing Facial Dynamics Using K-Medoids Cohort Selection Algorithm for Face Recognition. Multimedia Tools and Applications, Springer, pp.1-32 (SCI Indexed, IF: 2.1)

Conference Papers

  • R K Kumar, J. Garain, D. R. Kisku and G. Sanyal, “Estimating Attention of Faces Due to Its Growing Level of Emotions”. In Proceedings of the IEEE Conference (CVPR 2018, Utah, USA) on Computer Vision and Pattern Recognition Workshops (pp. 1952-1960).
  • R K Kumar, J. Garain, D. R. Kisku and G. Sanyal 2015, November. A novel approach to enlighten the effect of neighbor faces during attending a face in the crowd. In TENCON 2015-2015 IEEE Region 10 Conference (pp. 1-4). IEEE.
  • R K Kumar, J. Garain, D. R. Kisku and G. Sanyal 2018. Attending Prominent Face in the Set of Multiple Faces through Relative Visual Saliency. In International Conference on Intelligent Computing and Applications (pp. 89-105). Springer, Singapore.
  • R K Kumar, J. Garain, D. R. Kisku and G. Sanyal 2015, May. Novel methodology for guiding attention of faces through relative visual saliency (RVS). In Control, Automation and Robotics (ICCAR), 2015 International Conference on (pp. 228-232). IEEE.
  • R K Kumar and R. Pal, Constrained maximization of saliency of intended object for guiding attention. In India Conference (INDICON), Annual IEEE (pp. 1-6). December 2015.
  • R K Kumar, J. Garain, D. R. Kisku and G. Sanyal. Analysis of Attention Identification and Recognition of Faces through Segmentation and Relative Visual Saliency (SRVS), Elsevier, Procedia Computer Science, 54, pp.756-763.
  • R K Kumar, J. Garain, D. R. Kisku and G. Sanyal, "A Master Map: An Alternative Approach to Explore Human’s Eye Fixation for Generating Ground truth based on Various State of Art Techniques", First International Conference on Advanced Computational and Communication Paradigms (ICACCP), Sikkim, India, 8-10 September 2017. (Accepted)
  • R K Kumar, J. Garain, D. R. Kisku and G. Sanyal, "Determine Attention of Faces through Growing Level of Emotion using Deep Convolution Neural Network", IEEE International Conference on Intelligent Computing, Instrumentation & Control Technologies (ICICICT'17), Kerala, India, IEEE Press, July 2017. (In Press)
  • R K Kumar, J. Garain, D. R. Kisku and G. Sanyal. Generating Automatic Ground truth for salient regions based on Image Clustering, 15th International Conference on Machine Learning and Data Mining (MLDM-2018)(Accepted)
  • R K Kumar, “Enhancement of Fuzzy Implication”,4th IEEE International Conference on Communication Systems and Network Technologies (CSNT-2014),pp.533-536.April,2014
  • S. Mishra, G.R.B. Prasada, R K Kumar, and G. Sanyal, “Emotion Recognition Through Facial Gestures-A Deep Learning Approach. In International Conference on Mining Intelligence and Knowledge Exploration (pp. 11-21). Lecture Notes in Computer Science (LNCS), Springer, Cham, December 2017.
  • J. Garain, A. Shah, R K Kumar, D. R. Kisku and G. Sanyal, "BCP-BCS: Best-Fit Cascaded Matching Paradigm with Cohort Selection using Bezier Curve for Individual Recognition", 13th Asian Conference on Computer Vision (ACCV’16), Taipei, Taiwan, pp. 377-390, Vol. 10118, Lecture Notes in Computer Science, Springer-Verlag, November 2016. [PDF] (1.9K+ downloads)
  • J. Garain, R K Kumar, D. R. Kisku and G. Sanyal, "Selection of User-Dependent Cohorts using Bezier Curves for Person Identification", 13th International Conference on Image Analysis and Recognition (ICIAR'16), Póvoa de Varzim, Portugal, pp. 566-572, Lecture Notes in Computer Science (LNCS), Springer-Verlag, July 2016. [PDF] (1.1K downloads)
  • A. Das, R K Kumar and D. R. Kisku, "Heterogeneous Face Detection", International Conference on Internet of Things and Cloud Computing (ICC'16), University of Cambridge, U.K., pp. 1-4, ACM ICPS, March 2016.
  • A. Das, R K Kumar, D. R. Kisku and G. Sanyal, "Attention Identification via Relative Saliency of Localized Crowd Faces", The 10th International Conference on Informatics and Systems (INFOS'16), Cairo, Egypt, pp. 101-106, ACM ICPS, May 2016.
  • A. Das, R K Kumar, D. R. Kisku and G. Sanyal, "A Novel Approach to Attend Faces in the Crowd through Relative Visual Saliency", IEEE Region 10 Conference TENCON'16, Marina Bay Sands, Singapore, pp. 3778-3781, IEEE Press, November 2016.
  • G.R. Kumar, R K Kumar and G. Sanyal, “Discriminating real from fake smile using convolution neural network”, In Computational Intelligence in Data Science (ICCIDS), International Conference on (pp. 1-6). IEEE, June 2017.
  • G.R. Kumar, R K Kumar and G. Sanyal. “Facial emotion analysis using deep convolution neural network”, In Signal Processing and Communication (ICSPC), 2017 International Conference on (pp. 369-374). IEEE, July 2017.
  • J. Garain, R K Kumar, D. R. Kisku and G. Sanyal, "Early Fusion and Late Fusion in Cohort-based Biometric System using Parametric Curve", The 10th Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP'16), IIT Guwahati, India, December 2016. (Doctoral Symposium)
  • J. Garain, R K Kumar, D. Kumar, D. R. Kisku and G. Sanyal, "Combined Effect of Cohort Selection and Decision Level Fusion in a Face Biometric System", 6th International Conference on Frontiers of Intelligent Computing: Theory and applications (FICTA), Bhubaneshwar, India, Vol. 701, pp. 549-557, AISC, Springer-Verlag, October 14-15, 2017.
  • J. Garain, R K Kumar, D. Kumar, D. R. Kisku and G. Sanyal, "A Bezier Curve Cohort Selection Strategy for Face Pair Matching", Second International Conference on Digital Signal Processing, Tokyo, Japan, ACM ICPS, February 25-27, 2018. (In Press)
  • J. Garain, R K Kumar, D. Kumar, D. R. Kisku and G. Sanyal, "Image Specific Cross Cohort Normalization for Face Pair matching", International Conference on Computational Intelligence and Data Science (ICCIDS), Gurugram, India, Procedia Elsevier, April 7-8, 2018. (In Press)
  • Jagruth, K., Manikandan, V.M. and R K Kumar, 2021, July. Water Body Identification from the Satellite Images using Color Component Analysis with Morphological Operations. In 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 01-07). IEEE.

Patents

  • R K Kumar, Venkata Saai Praneeth Thota, Application No. 202241030009, Title: A FACE RECOGNITION SYSTEM, Year: 2022
  • Battula Purna Praveen, Asritha Pidikiti, R K Kumar, Veda Gayatri Ravi, Gurram Aparna ,Application No. 202241042820 Title: A SYSTEM AND METHOD FOR DETECTING EMOTIONS THROUGH REAL-TIME FACIAL GESTURES AND METHOD THEREOF, , Year: 2022
  • R K Kumar, Nikitha Kanaparthi, Budda Phani Kiran , Application No. 202241051058, Title: A PANIC ATTACK DETECTION SYSTEM, Year: 2022

Contact Details

  • E-mail id: ravikant.k@srmap.edu.in
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