Assistant Professor

Dr M Naveen Kumar

Department of Computer Science and Engineering

Interests

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

Education

2007

SV University, Andhra Pradesh,
India
BSc (CS)

2009

SV University, Andhra Pradesh,
India
MSc (CS)

2011

JNTU Anantapur, Andhra Pradesh,
India
MTech

2020

National Institute of Technology, Tiruchirappalli,
India
PhD

Experience

  • Aug 2020 - Nov 2021 : Assistant Professor – Sri Ramachandra Institute of Higher Education and Research, Deemed to be University, Chennai.
  • May 2012 – Feb 2015 : Assistant Professor – SV Engineering College for Women, Tirupati.
  • Jul 2011 – Apr 2012: : Assistant Professor – CVS College of Engineering, Tirupati.

Research Interest

  • Computer Vision : Develop deep learning frameworks for 3D Action Recognition from Skeleton data.
  • Medical Imaging : Design and develop deep learning models for Pneumonia classification from Chest X-Ray images.
  • Assistive technology : Design and develop Artificial Intelligence Powered Assistive Wearable Device for Visually Impaired.

Awards & Fellowships

  • 2015 to 2020 – PhD Fellowship – MHRD, Govt. of India
  • 2018 – Best Paper Award for the paper entitled “Vector Quantization based Pairwise Joint Distance Maps (VQ-PJDM) for 3D Action Recognition” - IIITDM Kancheepuram
  • 2013 – AP SET Qualified – Osmania University, AP
  • 2009 to 2011 – PG Fellowship (GATE) – MHRD, Govt. of India

Publications

Journals

  • Deep ensemble network using distance maps and body part features for skeleton based action recognition- M. Naveenkumar and S. Domnic - Pattern Recognition, 100, 107125 (2020)
  • Spatio Temporal Joint Distance Maps for Skeleton-Based Action Recognition using Convolutional Neural Networks - M. Naveenkumar and S. Domnic - International Journal of Image and Graphics, 20(4), 2140001. (2020)
  • Learning representations from quadrilateral based geometric features for skeleton-based action recognition using LSTM networks - M. Naveenkumar and S. Domnic - Intelligent Decision Technologies,14(1), 47-54 (2020)
  • Ensemble Spatio-Temporal Distance Net for Skeleton Based Action Recognition - M. Naveenkumar and S. Domnic - Scalable Comput. Pract. Exp., 20(3), 485-494 (2019)
  • Learning Representations from Spatio-Temporal Distance Maps for 3D Action Recognition with Convolutional Neural Networks - M. Naveenkumar and S. Domnic - Advances in Distributed Computing and Artificial Intelligence Journal, 8(2), 5-18 (2019)

Conferences Papers

  • Vector quantization based pairwise joint distance maps (VQPJDM) for 3D action recognition - M. Naveenkumar and S. Domnic - Procedia Computer Science, 133, 27-36 (2018)
  • Skeleton joint difference maps for 3d action recognition with convolutional neural networks - M. Naveenkumar and S. Domnic - International Conference on Recent Trends in Image Processing and Pattern Recognition, Springer, 144-150 (2018)
  • 3-D projected PCA based DMM feature fusing with SMO-SVM for human action recognition - M. Naveenkumar and A. Vadivel - Procedia Computer Science, 89, 759-763 (2016)
  • Study on Feature Extraction Methods for Human Action Recognition using Depth data - M. Naveenkumar and A. Vadivel - Proc. of 1st International Conference on Research in Engineering, Computers and Technology (ICRECT 2016), 35-38 (2016)
  • OpenCV for Computer Vision Applications M. Naveenkumar and A. Vadivel - Proceedings of National Conference on Big Data and Cloud Computing, NCBDC’15 (2015)

Book Chapters

  • Moving Object Detection and Tracking Based on the Contour Extraction and Centroid Representation - M. Naveenkumar and A. Vadivel - Encyclopedia of Information Science and Technology, Fourth Edition. IGI Global, 212-219 (2018)

Contact Details

TOP