Rashika Bangroo

Assistant Professor

rashikab@rvu.edu.in

About
Publication & Works
Research Summary

Ms. Rashika Bangroo is currently working as an Assistant Professor in the Department of Computer Science & Engineering. She has pursued her M.Tech from Shri Mata Vaishno Devi University (State University, J&K).She has a total teaching experience of 6+ years with reputed Universities & colleges. She has previously worked with Jain Deemed to be University, KIET college, Delhi-NCR & DIT University, Dehradun. She has published various research papers in Scopus Indexed Conferences & Journals.

You can never cross the ocean until you have the courage to lose sight of the shore.

Rashika Bangroo, “Comparative study of Elastic Net Regression, Naïve Bayes & Lasso Regression” in IEEE International Conference on Electrical, Electronics, Communication & Computers, IEEE ELEXCOM 2023 held at IIT Roorkee (Published in Jan, 2024)

Rashika Bangroo, Anil Kumar, "Cryptocurrency price prediction using Machine Learning Algorithms in IEEE 10th International Conference on Reliability, Infocom Technologies & Optimization (ICRITO'2022) (Published in Dec, 2023)

Rashika Bangroo ”A Model for Multi-processor Task Scheduling Problem using Quantum Genetic Algorithm(QGA)” in 17th International Conference on Hybrid Intelligent Systems (HIS-2017) held in South Asian University, New Delhi, on 15th of Dec 2017. (Published online in Springer , Scopus indexed)

Reya Sharma , Rashika Bangroo ”A Model for Resource Constraint Project Scheduling Problem Using Quantum Inspired PSO” in 3rd International Conference on Next Generation Computing Technologies (NGCT-2017) , Springer’s CCIS Series , Scopus indexed

Comparative study of Elastic Net Regression, Naïve Bayes & Lasso Regression Rashika Bangroo, IEEE ELEXCOM 2023
Cryptocurrency price prediction using Machine Learning Algorithms Rashika Bangroo, Anil Kumar, IEEE ICRITO'2022
A Model for Multi-processor Task Scheduling Problem using Quantum Genetic Algorithm (QGA) Rashika Bangroo, Springer HIS-2017
A Model for Resource Constraint Project Scheduling Problem Using Quantum Inspired PSO Reya Sharma, Rashika Bangroo, Springer NGCT-2017
Research Interests:
Machine Learning, Deep Learning, Quantum Genetic Algorithms