About
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
Assistant Professor
M.Tech CSE , B.Tech CSE