ProfessorsProfessors of Carleton UniversityShikharesh Majumdar

Shikharesh Majumdar

Carleton University

H-index: 24

North America-Canada

About Shikharesh Majumdar

Shikharesh Majumdar, With an exceptional h-index of 24 and a recent h-index of 13 (since 2020), a distinguished researcher at Carleton University, specializes in the field of Cloud computing, system performance, distributed systems resource management.

His recent articles reflect a diverse array of research interests and contributions to the field:

On Enhancing the Performance of Inter-Cloud Data Transfers

Deep Reinforcement Learning solution for Scheduling critical notifications in a Digital Twin cluster

Techniques for Moment Retrievals and Filtering from Large Volumes of Multimodal Data

Boolean Logical Operator Driven Selective Data Filtering For Large Datasets

Parallel Processing Techniques for Analyzing Large Video Files: a Deep Learning Based Approach

Multi-objective optimization for cloud provisioning: A case study in large-scale microservice notification applications

Methods for Transferring Data from a Compute to a Storage Cloud

SCN-DRL: Scheduler for large-scale Critical Notification applications based on Deep Reinforcement Learning

Shikharesh Majumdar Information

University	Carleton University
Position	Professor of Systems and Computer Engineering
Citations(all)	3153
Citations(since 2020)	520
Cited By	2755
hIndex(all)	24
hIndex(since 2020)	13
i10Index(all)	67
i10Index(since 2020)	15
Email	Access Email
University Profile Page	Carleton University
Google Scholar	View Google Scholar Profile

Shikharesh Majumdar Skills & Research Interests

Cloud computing

system performance

distributed systems resource management

Top articles of Shikharesh Majumdar

Title	Journal	Author(s)	Publication Date
On Enhancing the Performance of Inter-Cloud Data Transfers		Juan Pablo Contreras Shikharesh Majumdar Ali El-Haraki	2023/8/14
Deep Reinforcement Learning solution for Scheduling critical notifications in a Digital Twin cluster		Mira Vrbaski Miodrag Bolic Shikharesh Majumdar	2023/11/30
Techniques for Moment Retrievals and Filtering from Large Volumes of Multimodal Data		Azhar Talha Syed Shikharesh Majumdar	2023/8/14
Boolean Logical Operator Driven Selective Data Filtering For Large Datasets		Glenn Davidson Shikharesh Majumdar	2022/7/18
Parallel Processing Techniques for Analyzing Large Video Files: a Deep Learning Based Approach		Azhar Talha Syed Shikharesh Majumdar	2022/12/17
Multi-objective optimization for cloud provisioning: A case study in large-scale microservice notification applications		Mira Vrbaski Miodrag Bolic Shikharesh Majumdar	2022/8/22
Methods for Transferring Data from a Compute to a Storage Cloud		Juan Pablo Contreras Shikharesh Majumdar Ali El-Haraki	2022/8/22
SCN-DRL: Scheduler for large-scale Critical Notification applications based on Deep Reinforcement Learning		Mira Vrbaski Miodrag Bolic Shikharesh Majumdar	2022/8/22
A Parallel Processing Technique for Extracting and Storing User Specified Data		Bannya Chanda Shikharesh Majumdar	2021/8/23
A technique for extracting user specified information from streaming data		Bannya Chanda Shikharesh Majumdar	2021/7/19
Complex Event Processing in Sensor-Based Environments: Edge Computing Frameworks and Techniques	Mobile Edge Computing	A Dhillon Shikharesh Majumdar Marc St-Hilaire Ali El-Haraki	2021
Filtering and storing user preferred data: an Apache Spark based approach		Bannya Chanda Shikharesh Majumdar	2020/8/17
Auto-scaling Compute and Network Resources in a Data-center		Anshuman Biswas Biswajit Nandy Shikharesh Majumdar Ali El-Haraki	2020/8/17
A Graph-Based Indexing Technique to Enhance the Performance of Boolean AND Queries in Big Data Systems		Abdulla Kalandar Mohideen Shikharesh Majumdar Marc St-Hilaire Ali El-Haraki	2020/5/11
A Data Indexing Technique to Improve the Search Latency of AND Queries for Large Scale Textual Documents		Abdulla Kalandar Mohideen Shikharesh Majumdar Marc St-Hilaire Ali El-Haraki	2020/12/7