Dr. Karthik S

Associate Professor

Computer Science

Undergraduate


Qualification
Qualification Institution Year
B.E. Visvesvaraya Technological University 2004
M.Tech. Manipal University (Formerly known as MAHE) 2007
Ph.D. Bharathiar University 2019

Experience
Designation Institution From To
Lecturer K. V. G. College of Engineering, Sullia 23-08-2004 05-03-2005
Project Trainee NXP Semiconductors India Pvt. Ltd. (Formerly known as Philips Electronics India Ltd. ) 19-06-2006 31-05-2007
Lecturer Acharya Institute of Technology, Bangalore 09-03-2005 15-07-2005
Lecturer P E S Institute of Technology, Bangalore 02-07-2007 31-12-2010
Assistant Professor P E S School of Engineering, Bangalore 01-08-2011 31-03-2017
Associate Professor P E S School of Engineering / PES University 01-04-2017 Till Date
Senior Lecturer P E S Institute of Technology 01-01-2011 31-07-2011
Responsibilities
  • Deputy Controller of Examinations

Expertise / list of subjects handled
  • Automata, Formal Languages and Logic
  • Operating System
  • Artificial Intelligence
  • System Modeling & Simulation
  • System Software
  • Natural Language Processing
Research Interest
  • Digital Image Processing
  • Machine Learning

Conferences
  • Karthik S, Srikanta Murthy K, “Handwritten Kannada Characters Recognition using BRISK descriptors”, International Conference on Innovations in Computer Science and Information Technology, 28th & 29th August 2015
  • Karthik S, Srikanta Murthy K, “Handwritten Kannada Numerals Recognition using Structural Features and Support Vector Machines”, International Conference on Innovations in Computer Science and Information Technology, 28th & 29th August 2015.
  • Karthik S, Srikanta Murthy K, “Handwritten Kannada Numerals recognition using histogram of oriented gradient descriptor and support vector machines”, International conference on emerging ICT for bridging future, 12-14 December, 2014
  • Karthik S, Srikanta Murthy K, “Handwritten Kannada Numerals recognition using SURF descriptors”, International Multi Conference on Innovation in Engineering & Technology -2014 ( published by Elsevier) during 21-23 August, 2014
  • Karthik S, Mamatha H R. and Srikanta Murthy K,” A Statistical and Structural Feature Based Approach for the Recognition of Isolated Handwritten Kannada Characters”, submitted to IEEE conference ICHCI’13, presented during 23-24 Aug 2013 at Chennai
  • Mamatha H R , Karthik S, Srikanta Murthy K, “Classifier Fusion Method to Recognize Handwritten Kannada Numerals”, Proceeding of IEEE sponsored 4th International Conference on Electronics Computer Technology, April 6 - 8, 2012, vol 1 pp 640-644.
  • Mamatha H R , Karthik S, Srikanta Murthy K, “Feature Based Recognition of Handwritten Kannada Numerals – A Comparative Study”, IEEE sponsored International Conference on Computing, Communications and Applications, 22 - 24 February, 2012.
  • Karthik S, Mamatha H.R Srikanta Murthy.K “A DFT Based Algorithmic Approach To Recognize The Handwritten Kannada Numerals", accepted for presentation at the conference on Emerging Trends in Information and Communication technologies., CSI National Conference" to be held at Hyderabad during 14-15 October, 2011

Journals
  • Karthik S, Srikanta Murthy K, “Deep Belief Network based approach to recognize handwritten Kannada characters using distributed average of gradients”, Springer Journal on Cluster Computing(2018), https://doi.org/10.1007/s10586-018-2274- 0, 2018
  • Karthik S, Srikanta Murthy K, “Deep Belief Network based approach to recognize handwritten Kannada characters using Histogram of Oriented Gradients and raw pixel features”, International Journal of Applied Engineering Research, Vol.11, No. 5, pp 3553-3557, 2016
  • Karthik S, Srikanta Murthy K, “Segmentation and Recognition of Handwritten Kannada Text Using Relevance Feedback and Histogram of Oriented Gradients – A Novel Approach”, International Journal of Advanced Computer Science and Applications, Vol. 7, No. 1, pp 472-476, 2016
  • Karthik S, Mamatha H R and Srikanta Murthy K, “An Approach based on Run Length Count for Denoising the Kannada Characters”, International Journal of Computer Applications, Volume 50– No.18, pp 42-46, July 2012
  • Karthik S, Mamatha H R and Srikanta Murthy K, “Kannada Characters Recognition - A Novel Approach Using Image Zoning and Run Length Count”, CiiT International Journal of Digital Image Processing, Vol 3, No 16, pp 1059-1062, October 2011