National Institute Of Technology,Kurukshetra

DEPARTMENT OF COMPUTER APPLICATION

Faculty

Name : Deepak Garg
Designation : Assistant Professor (On Contract)
Qualification : Ph.D Pursuing, M.Tech (CSE), B.Tech (CSE)
Current Address :
Phone 1 (office) : 01744-233540
Phone 2 (office) :
Email : erdeepakgarg21@gmail.com

Area Of Intrest :

  • Meta-Heuristics
  • Load Balancing in Cloud
  • Operating System
  • DBMS
  • Software Testing
  • Software Engineering
  • C/ C++/ MATLAB

Experience :

  • Currently working in Department of Computer Applications, NIT Kurukshetra since September 2015. 

Other :

Contribution:

  • Attended “One Week Training Programme on Professional Development of Teachers organized by Office of Dear, NIT, Kurukshetra during 15th -20th March 2017.
  • Worked as Trainer in Two days Workshop on Vittiya Saksharta Abhiyan (An Effort to Promote Digital Economy) organised by NIT Kurukshetra in collaboration with Indian Bank on 4-5 January 2017.
  • Worked as Organising Member & Trainer “National IT Challenge for Youth with Disabilities at NIT, Kurukshetra during 19th -20th July, 2016.
  • Attended “Recent Innovations in Computer Science and Information Technology (RICSIT)” 23 May, 2016 organized by UIIT, HPU, Shimla.
  • Attended “International Conference on Eco-friendly Computing and Communication Systems (ICECCS) “ 7-8 December, 2015 organized by NIT, Kurukshetra.
  • Attended “Android/Website Application Development Workshop under Digital India Week” 7 August, 2015 organized by NIT, Kurukshetra. 
  • Attended “Research Challenges and Innovations of Tools in the Domain of Computer Engineering (RCITDCE)” 9-13 March, 2015 organized by DCSA, UIET, Kurukshetra.

Research Publications:

  • A. Harkawat, S. Kumari, P. Pharkya, D. Garg, "Load Balancing Task Scheduling Based On Variants of Genetic Algorithms" in Springer CCIS, (Proceeding of ICICCT 2017), International Conference On Information, Communication And Computing Technology, IIC New Delhi, May 2017 (Accepted).
  • D. Garg, P. Garg, “Basis Path Testing Using SGA & HGA With ExLB Fitness Function” in Procedia Computer Science, Vol. 70, Dec 2015, pp. 593-602.  (Scopus Indexed)
  • D. Garg, P. Kumar, “Comparative Study of Simple GA & Hybrid GA for Basis Path Testing under Branch Distance Fitness Function” in International Journal of Computer Sciences and Engineering, Vol. 4, Issue 5, July 2016, pp. 5-10.
Tests Qualified:
  • UGC-NET for Assistant Professor July 2016.
  • Graduate Aptitude Test in Engineering (GATE) 2017.
  • Graduate Aptitude Test in Engineering (GATE) 2016.
  • Graduate Aptitude Test in Engineering (GATE) 2014.