Dr.D.Krishna

Department:
Electronics & Communication Engineering
Faculty Id:
VCE 1035
Designation:
Associate Professor
Years of Experience:
10 years
Employment Status:
Full Time – Ratified by JNTUH
Phone:

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.

Qualification

Ph.D. in  Signal Processing 2016 ,National Institute of Technology Silchar
PG Degree in VLSI System Design,2010, ATRI, JNTU Hyderabad
UG Degree in Electronics & Communication Engineering,2007,SBIT, JNTU Hyderabad

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. D. Krishna, A. Vinod, “A Two-Dimensional Analytical Model of Heterostructure Double Gate with Pocket Doped Tunnel FET”, Silicon, Springer, pp. 1-7, 2020. (SCI)
  2. D. Krishna, “Hybrid Feature Descriptors for Robust Face Recognition”, Jour of Adv Research in Dynamical & Control Systems, vol. 10, 12-Special Issue, pp. 1626-1634, 2018. (Scopus indexed)
  3. 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
  4. 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
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.