Mr. Krishna Kumar Singh M.Tech

Assistant Professor, Computer Science and Engineering

  • Machine Learning, Data Mining, Digital Image Processing
  • Worked as Central Coordinator of Department of CSE in RGUKT- Nuzvid from Nov 2011 to June 2013.
  • Head of the department of CSE, RGUKT Nuzvid from Aug 2015 to Nov 2016.
  • . Working as IT Infrastructure Coordinator at RGUKT Nuzvid from March 2019 till date.
  • 10 Years experience in teaching
  • Analysis of Algorithm, Web Technologies. Data Mining, Data Analytics, Digital Image Processing, Machine Learning
  • 5-Days FDP on Internet of Things ( IoT), between 19-11-19 to 23-11-19, Dept. of CSE, RGUKT Nuzvid.
  • Faculty Development Programme on OPTIMIZATION TECHNIQUES AND APPLICATIONS at NIT AP, During 21st to 25th September, 2020
  • 26-day Refresher Course, between 28 Jab-23 Feb 2019 , organized by NITTTR, Bhopal on SWAYAM Platform,
  • 28-day faculty Orientation Program between 6 Feb19-5 Mar19, organized by UGC-HRD centre, AU, Visakhapatnam.
  • 5-day workshop on blended learning course design, between 14th -18th Nov 2017 organized by RGUKT Nuzvid and Common Wealth of Learning (COL).
  • A 2-day FIP on Amazon Web Services Technical Essentials between 12th Oct 2017 to 13th Oct 2017, organized by APSSDC at the Skill Development Center (SDC), Vijayawada.
  • A 2-day workshop on Internet of Things, between 24-26 Feb2017, offered by Smart Bridge Educational Services Pvt. Ltd. in association with RGUKT Nuzvid.
  • 2-day Workshop on " Big Data: Challenges &Opportunities" between 30th Sept- 1st Oct 2016, organized by VVIT, Vijayawada.
  • A 10-day Workshop on Data Warehousing and Business Intelligence between 20th April 2016 to 30th April 2016 organized by VR Siddhartha and NIT-Warangal.
  • A 13-dayWorkshop on Machine Learning and Soft Computing between 28th December 2015 09th January 2016, organized by Electronics & ICT Academy and NIT-Warangal.
  • 2. 2-Days Workshop on ML and AI Using Covid-19 Virus Data Analysis between 06-05-20 to 07-05-20 , Finland Labs, IIT Roorkee.
  • 12. A 5-day workshop on Network and Socket Programming 30th April 2012 to 5th May 2012 organized by IIT Kharagpur.
  • Machine Learning, Deep Learning, Few Shot Learning


  • Worked as Consultant in Draft Cost estimation for Govt of Andhra Pradesh-APCOSMIC Project, Nov 2017-Feb 2018.
  • Worked as Consultant to Scrutinize Architecture, Specification, Quantities, and Unit cost for State Emergency Operation Centre (SEOC) to establish Video wall solution at APSDMA, Mar- 2018.
  • Worked as Consultant to prepare a Detailed Project Report (DPR) for the establishment Data Centre at APSDMA (Andhra Pradesh State Disaster Management Authority), Mar- 2018.


  1. K K Singh, S. Chaturvedi, Reliability Allocation for Fault Tolerant Software. International Journal of Engineering Research and Technology (IJERT)-July-2012 (Vol. 1 Issue. 5)
  2. K K Singh, Path Reliability of Multipath Routing Protocol in MANET. International Journal of Science and Research (IJSR)-June-2013 (Vol. 2 Issue. 6).
  3. K K Singh, L Govinda. A Faster Approximation Algorithm for Independent Set Problem. International Conference on Mathematics, Statistics & Computer Engineering (ICMSCE) -Aug 2013 (Vol. 2 Issue. 2)
  4. K K Singh, K K Naveena, G. Likhitaa Target Aware Local Search for Maximum Clique Problem , IFRSAs International Journal Of Computing, July 2014 (Vol. 4 Issue. 3)
  5. K K Singh, A. K. Pandey Survey of Algorithms on Maximum Clique Problem International Advanced Research Journal in Science, Engineering and Technology Vol. 2, Issue 2, February 2015.
  6. K K Singh, K N M Satyanarayana, A Fast Color Based Branch and Bound Algorithm for Maximum Clique Problem, IJIRCCE, Vol. 4, Issue 6, June 2016.
  7. K K Singh, Uday Kumar, Kumar Anurupam, Activity Based Students Performance Measure Using Moodle Log Files, International Journal of Research in Advent Technology, Vol.7, No.7, July 2019


  1. K K Singh, L Govinda. A Simple and Efficient Heuristic Algorithm for Maximum Clique Problem 8th International Conference on Intelligent Systems and Control (ISCO 2014).
  2. K K Singh, Chiranjeevi Sadu, Amit Patel, Correlation Scaled Principal Component Regression, 17th International conference on intelligent system design and application, Dec-2017.
  3. K K Singh, Sadu Chiranjeevi, K Sivalal, Face Features-Based Personality Assessment, 15th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing (CGVCVIP), 2021.