Designation:
Lecturer( Contract)
Specialization:
Machine Learning
Email:
shubham.goel@thapar.edu Biography
Shubham Goel is working as Lecturer in Thapar Institute of Engineering & Technology since August, 2019. He has more than 2.5 years of teaching experience and 2 years of Industrial experience. Currently he is pursuing PhD in machine learning. He completed his M.Tech in 2015 from Thapar Institute of Engineering & Technology and B.Tech in 2011 from Maharishi Markandeshwar University, Mullana. He has also qualified UGC-NET and GATE.
Publications and other Research Outputs
SCI/SCIE - 3
- Shubham Goel & Ravinder Kumar,"Brownian Motus and Clustered Binary Insertion Sort methods: An efficient progress over traditional methods", Future Generation Computer Systems (FGCS), 86 , pp. 266-280, 2018, IF=5.768.
- Shubham Goel & Ravinder Kumar, "Folksonomy-based User Profile Enrichment using Clustering and Community Recommended tags in Multiple Levels", Neurocomputing,321, pp. 425-438, 2018, IF=4.072.
- Shubham Goel, Ravinder Kumar, Munish Kumar, and Vikram Chopra, "An Efficient Page Ranking Approach Based on Vector Norms using sNorm(p) Algorithm",Information Processing and Management, 56 (3), pp. 1053-1066, 2019, IF=3.892.
Description of Research Interests
He is interested in Machine learning, Algorithms, and Smart City.
