Dr. D. Krishna

Faculty Id: VCE 1035
Date of Birth: 19 May , 1982
Designation: Associate Professor
Years of Experiance : 9
Email Id: dkrishna@vardhaman.org
Phone Number: 8811940515
Faculty Web Page: https://in.linkedin.com/in/dkrishnadk
Employment Status: Full Time - Ratified by JNTUH
Areas of Specialization: Pattern recognition, biometric signal processing, digital image processing, VLSI system design, network-on-chip (NoC) design, system-on-chip (SoC) design, reconfigurable computing, embedded vision.
UG Degree: Electronics & Communication Engineering,2007,SBIT, JNTU Hyderabad
PG Degree: VLSI System Design,2010, ATRI, JNTU Hyderabad
Ph.D: Signal Processing 2016 ,National Institute of Technology Silchar
Subjects Taught:
  1. Switching Theory and Logic Design
  2. Digital logic design
  3. HDLs
  4. VLSI system design
  5. Probability theory and stochastic processes
  6. Digital image processing
  7. Digital signal processing
  8. Analog communications
  9. Network analysis
  10. Basic electronics
Papers Published:

  1. Dr.Krishna Dharavath,Dr.Subrahmanyam Chede"Wet Face Recognition In Uncontrolled Scenario"2017 IEEE International Conference on Computational Intelligence and Computing Research, Coimbatore, Dec -2017,ISSN:978-1-5090-6621-6/17

  2. D. Krishna,F.A. Talukdar,R.H. Laskar,N. Dey"Face Recognition Under Dry and Wet Face Conditions"Intelligent Techniques in Signal Processing for Multimedia Security, Studies in Computational Intelligence 660, DOI 10.1007/978-3-319-44790-2_12, pp: 253-271

  3. D. Krishna, F. A. Talukdar, and R. H. Laskar, “Improving face recognition rate with image preprocessing,” Indian Journal of Science and Technology, vol. 7, no. 8, pp. 1170–1175, 2015.
  4. D. Krishna, F. A. Talukdar, and R. H. Laskar, “Performance Analysis of PCA Based Techniques for Face Authentication,” Canadian Journal of Pure and Applied Sciences, vol. 9, no.1, pp. 3299-3306,2015.
  5. D. Krishna, F. A. Talukdar, and R. H. Laskar, “NITS-DWFDB: A Database of Dry and Wet Faces for Wet Face Recognition Research,” Communicated to Computational Intelligence and Neuroscience, 2015, under peer review.

  6. D. Krishna, F. A. Talukdar, and R. H. Laskar,“Face recognition under dry and wet face conditions,” Communicated to International Journal of Pattern Recognition and Artificial Intelligence, 2016.

  7. D. Krishna, F. A. Talukdar, and R. H. Laskar,“Facial image processing in conjunction with password for intelligent access control”, Proceedings of TENCON2015 IEEE Region 10conference, IEEE, 2015, pp. 1-5.

  8. D. Krishna, F. A. Talukdar, and R. H. Laskar,“Qualitative study on 3D face databases: A review”, Proceedings of IEEE India Conference, INDICON 2013, IEEE, 2013, pp. 1-6.

  9. D. Krishna, F. A. Talukdar, and R. H. Laskar,“Study on biometric authentication systems, challenges and future trends”, Proceedings of IEEE International Conference on Computational Intelligence and Computing Research, IEEE, 2013, pp. 1-7.

  10. D. Krishna, F. A. Talukdar, R. H. Laskar, and G. Amarnath,“Impact of Image Preprocessing on Face Recognition: A Comparative Analysis”, Proceedings of IEEE International Conference on Communication and Signal Processing, IEEE, 2014, pp. 1-5.

  11. D. Krishna, F. A. Talukdar, and R. H. Laskar, ”FaceBased Access Control System: TFA approach”, Proceedings of International Conference on Advances in Electronics, Computers and Communications (ICAECC), 2014, pp.1-5.

  12. S. Mandia, D. Krishna, R. H. Laskar, “Improving Image Compression Ratio: A novel Approach”, Proceedings of IEEE International Conference on Advances in Engineering and Technology, IEEE, 2014, pp. 1-4.

Books Published:
None
Research Projects Undertaken:
None