National Institute Of Technology,Kurukshetra



Name : Ritu Garg
Designation : Assistant Professor
Qualification : PhD (NIT Kurukshetra)2016, M.Tech(M.M.E.C, Mullana) 2006, B.Tech(B.C.E.T, Gurdaspur)2001
Current Address :

cc-8, NIT KUK

Phone 1 (office) : 01744-233493
Phone 2 (office) :
Email :

Area Of Intrest :

Resource management in Grid/Cloud Computing, Evolutionary Computing, Internet of things, Energy Harvesting, security of IOT etc


Experience :

Teaching:   14 years

Other :

Research Publications

InternationalNational Journals


  1. Garg, R., & Singh, A. K. (2015). Adaptive workflow scheduling in grid computing based on dynamic resource availability. Engineering Science and Technology, an International Journal, 18(2), 256-269.(Elsevier)
  2. Garg, R., & Singh, A. K. (2015). Energy-Aware Workflow Scheduling in Grid Under QoS Constraints. Arabian Journal for Science and Engineering, 1-17.(Springer, SCI).
  3. Garg, R., & Singh, A. K. (2014). Fault tolerant task scheduling on computational grid using checkpointing under transient faults. Arabian Journal for Science and Engineering, 39(12), 8775-8791.(Springer, SCI)
  4. Garg, R., & Singh, A. K. (2014). Multi-objective workflow grid scheduling using varepsilon-fuzzy dominance sort based discrete particle swarm optimization. The Journal of Supercomputing, 68(2), 709-732 .(Springer, SCI).
  5. Garg, R., & Singh, A. K. (2013). Enhancing the discrete particle swarm optimization based workflow grid scheduling using hierarchical structure. International Journal of Computer Network and Information Security (IJCNIS), 5(6), 18.
  6. Garg, R., & Singh, A. K. (2012). Reference Point Based Evolutionary Approach forWorkflow Grid Scheduling. International Journal of Information and Electronics Engineering, 2(4), 500.
  7. Garg, R., & Singh, A. K. (2012). Reference point based multi-objective optimization to workflow grid scheduling. International Journal of Applied Evolutionary Computation (IJAEC), 3(1), 80-99.
  8. Garg, R., & Singh, A. K. (2011). Fault tolerance in grid computing: state of the art and open issues. International Journal of Computer Science & Engineering Survey (IJCSES), 2(1), 88-97.
  9. Garg, R., & Singh, A. K. (2011). Multi-objective optimization to workflow grid scheduling using reference point based evolutionary algorithm. Int J Comput Appl Technol, 22(6), 44-49.
  10. Conference / Seminar / Symposia etc.

InternationalNational Conferences

  1. Rehani, N., & Garg, R. (2016). Reliability aware workflow scheduling using monte carlo failure estimation in cloud. In Proceedings of the International Conference on communication and Networks (ComNet 2016). AISC, Springer India.
  2. Rehani, N., & Garg, R. (2016). Reliability aware scheduling in cloud computing. In Proceedings of the  2nd International Conference on Information and Communication Technology for Sustainable Development(ICT4SD 2016). (Accepted)LNNS, Springer .
  3. Nitu, Garg, R. (2014). Multi-Objective Ant Colony Optimization for Task Scheduling in Grid Computing. In Proceedings of the Third International Conference on Soft Computing for Problem Solving (SocProS 2014), Volume 259 of the series Advances in Intelligent Systems and Computing (AISC) pp. 133-141 Springer India.
  4. Vikas, Garg, R. (2013) A Hybrid PSO approach for independent jobs for grid scheduling problem, Proceedings of the National Conference NCRADSA 2013 ISBN: 978-93-82880-35-6,  pp. 196-200.
  5. Meena. J., Garg, R. (2013) To Optimize Task scheduling in Heterogeneous Computing Environment, 7th International Conference on Advanced Computing and Communication Technologies (ICACCT™-2013).
  6. Singh, M., & Garg, R. (2013). Failure-aware scheduling in grid considering Weibull failure distribution. In Recent Trends in Information Technology (ICRTIT), 2013 International Conference on (pp. 73-78). IEEE.
  7. Garg, R., & Singh, A. K. (2011). Multi-objective workflow grid scheduling based on discrete particle swarm optimization. In Swarm, Evolutionary, and Memetic Computing (SEMCCO 2011),pp. 183-190. LNCS, Springer Berlin Heidelberg.
  8. Singh, D., & Garg, R. (2011, July). A robust multi-objective optimization to workflow scheduling for dynamic grid. In Proceedings of the International Conference on Advances in Computing and Artificial Intelligence (pp. 183-188). ACM.
  9. Garg, R., & Singh, D. (2011). ε–Pareto Dominance Based Multi-objective Optimization to Workflow Grid Scheduling. In Contemporary Computing (pp. 29-40). LNCS, Springer Berlin Heidelberg.
  10. Darshan Singh, Ritu Garg.(2010) Grid-Based Distributed learning, Proceedings of the International Conference on Education Informatics (EduMatics-2010) pp.124-128.

Professional Activities

  1. Expert Talk in a workshop on Next Generation Computing (NGC-2016) from 27th June- 1st July 2016 at National Institute of Technology, Kurukshetra.
  2. Expert Talk in a workshop on Soft Computing and Network Security - 2016 during November 12-17, 2016 at Govt. Women Engineering College, Ajmer.

Research Collaborations Research Publications:

On google scholar

On Reseach Gate

All interested Ph.D. aspirants want to do research in the above said areas may contact for Ph.D program under my supervision for November 2017-18.


  • Member DRC
  • Warden Cauvery Bhawan
  • Prof/In Technobyte
  • Prof/In SAC