Specialization

Scheduling theory, Optimization, and Quantum Computing

Email

vaibhav.pandey@thapar.edu

Education
•    PhD in CSE from Punjab Engineering College, Chandigarh
•    M. Tech in CSE from NIT Hamirpur, HP
•    B. Tech in CSE from UPTU Lucknow, UP
 
Experience
1.    Assistant Professor, Department of CSE, Thapar Institute of Engineering and Technology, Patiala, Punjab (September 2021 - present)
2.    Assistant Professor, Department of CSE, Punjab Technical University Jalandhar, (Jan. 2014- Jan. 2016)
3.    Assistant Professor, Department of CSE, NIT Jalandhar, (Feb. 2012- Dec. 2013)

Journal publications
1. Vaibhav Pandey, and Poonam Saini, "How Heterogeneity Affects the Design of Hadoop MapReduce Schedulers: A State-of-the-Art Survey and Challenges" Big data Vol. 6 Issue 2 (2018) pp. 72-95. (SCIE Indexed, IF: 3.644) 

2. Vaibhav Pandey, and Poonam Saini, "A Heuristic Method Towards Deadline-aware Energy-efficient MapReduce Scheduling Problem in Hadoop YARN” Cluster Computing Springer Vol. 24 Issue 2 (2021) DOI: 10.1007/s10586-020-03146-7 (SCIE Indexed, IF: 3.458) 

3. Vaibhav Pandey, and Poonam Saini, "Constraint Programming Versus Heuristic Approach to MapReduce Scheduling Problem in Hadoop YARN for Energy Minimization" in Journal of Supercomputing Springer DOI: 10.1007/s11227-020-03516-3 (SCI Indexed, IF: 2.469) 

4. Vaibhav Pandey, and Poonam Saini, “Application Layer Scheduling in Cloud: Fundamentals, Review and Research Directions”, COMPUTER SYSTEMS SCIENCE AND ENGINEERING Vol. 34 Issue 6, pp. 357-376. (SCIE Indexed, IF: 0.80) 

International Conferences:
1. Vaibhav Pandey, and Poonam Saini, “An Energy-Efficient Greedy MapReduce Scheduler for Heterogeneous Hadoop YARN Cluster”, In 6th International Conference on Big Data Analytics-2018, NIT Warangal, (pp. 282-291). Springer-LNCS (Scopus Indexed) 

Book Chapters:
Vaibhav Pandey, and Poonam Saini. "Survey on Various MapReduce Scheduling Algorithms." Handbook of Research on Cloud Computing and Big Data Applications in IoT. IGI Global, 2019. 499-515. Web. 24 Feb. 2020. doi:10.4018/978-1-5225-8407-0.ch022 (Scopus Indexed