Computer Science and Engineering

Ms. Raqeebir Rab

Research Interests

• Wireless AdHoc and Sensor Networks
• Machine Learning
• Network Security

Educational Background

• Master of Science (MSc), (Computer Science and Software Engineering), Concordia University, Montreal , Canada
• Bachelor of Science (BSc), (Computing Science), Agustana Faculty, University of Alberta, Edmonton , Canada

Honors and Achievements

• Travel Grant ACM SIGCOMM 2023, ACM SIGCOMM 2023, 2023
• IEEE BDS Best Paper Award, 25th ICCIT 2022, Sponsored by IEEE Bangladesh Section, 2022
• Travel Grant ACM SIGCOMM 2019, ACM, 2019
• N2 women fellowship, MobiCom 2013, IEEE Computer Society, 2013
• Alberta Intensive bursary, Government of Alberta, newline Alberta, Canada, 2011

Publications

• Efficient Feature Selection On Adversarial Botnet Detection, 2023
• Personality Prediction Based on Contextual Feature Embedding SBERT, 2023
• A novel FRTS/FCTS-based MAC Protocol for In-band Full-duplex Wireless Ad-hoc Networks, 2023
• On Feature Selection Algorithms for Effective Botnet Detection, 2022
• Bangla News Popularity Prediction Using Machine Learning Techniques, Available at SSRN 4096379, 2022
• CoWrap: An Approach of Feature Selection for Network Anomaly Detection, 2022
• Transfer learning based Facial Emotion Detection for Animated Characters, 2022
• A Multiclass Approach to Identify Misogynistic Bangla Text from Social Media, 2022
• Reducing the effect of imbalance in text classification using SVD and GloVe with ensemble and deep learning, Computing and Informatics, 2022
• Machine Learning and Deep Learning Techniques For Genre Classification of Bangla Music, 2022
• A Comprehensive Approach to Enhance Dark Image Implementing Image Processing Techniques, 2022
• Non-invasive Deception Detection in Videos Using Machine Learning Techniques, 2021
• Reduction of Packet Duplication in Broadcasting Inter Vehicular Information Using 5G Network, Advanced Information Networking and Applications. AINA 2021. Lecture Notes in Networks and Systems, 2021
• Feasibility and Challenges of 5G Network Deployment in Least Developed Countries (LDC), Wireless Sensor Network, 2021
• Efficient Feature Selection for Detecting Botnets Based on Network Traffic and Behavior Analysis, 2020
• Classification of Underrepresented Text Data in an Imbalanced Dataset Using Deep Neural Network, 2020
• On Efficient Selection and Orientation of Directional Sensors in Visual Sensor Networks, 2019
• Analysis of CT Scan Images to Predict Lung Cancer Stages Using Image Processing Techniques, 2019
• On constructing contention aware connected dominating sets for inter-connectivity among internet of things devices, International Journal of Multimedia Intelligence and Security, 2019
• Empirical Study on Personality Trait Classification by Food Related Preferences, 2019
• Design and Analysis of a Fault-Tolerant Topology Control Algorithm for Wireless Multi-hop Networks, 2018
• Improved Self Pruning for Broadcasting in Ad Hoc Wireless Networks , Wireless Sensor Ntework , 2017
• Analytical modeling of self-pruning and an improved probabilistic broadcast for wireless multihop networks, Ad Hoc Networks, 2016
• Maximally pair-wise disjoint set covers for directional sensors in visual sensor networks, 2016
• Modeling and Analysis of Bi-Connected Minimum Energypath Preserving Graphs for Wireless Multi-Hop Networks, 2013