Multibit Tries Packet Classification with Deep Reinforcement Learning. - Hasibul Jamil; Ning Weng (HPSR, 2020)

Securing Home IoT Network with Machine Learning Based Classifiers. - Hasibul Jamil; Ning Yang 009; Ning Weng (WF-IoT, 2021)

Energy-Efficient Data Transfer Optimization via Decision-Tree Based Uncertainty Reduction. - Hasibul Jamil; Lavone Rodolph; Jacob Goldverg; Tevfik Kosar (ICCCN, 2022)

A Reinforcement Learning Approach to Optimize Available Network Bandwidth Utilization. - Hasibul Jamil; Elvis Rodrigues; Jacob Goldverg; Tevfik Kosar (CoRR, 2022)

Many-field packet classification with decomposition and reinforcement learning. - Hasibul Jamil; Ning Yang 009; Ning Weng (IET Networks, 2022)

Learning to Maximize Network Bandwidth Utilization with Deep Reinforcement Learning. - Hasibul Jamil; Elvis Rodrigues; Jacob Goldverg; Tevfik Kosar (GLOBECOM, 2023)

Throughput Optimization with a NUMA-Aware Runtime System for Efficient Scientific Data Streaming. - Hasibul Jamil; Joaquin Chung 001; Tekin Bicer; Tevfik Kosar; Rajkumar Kettimuthu (SC Workshops, 2023)

Carbon-Aware End-to-End Data Movement. - Jacob Goldverg; Hasibul Jamil; Elvis Rodrigues; Tevfik Kosar (CoRR, 2024)

FlowTracer: A Tool for Uncovering Network Path Usage Imbalance in AI Training Clusters. - Hasibul Jamil; Abdul Alim; Laurent Schares; Pavlos Maniotis; Liran Schour; Ali Sydney; Abdullah Kayi; Tevfik Kosar; Bengi Karacali (CoRR, 2024)

Toward Carbon-Aware Data Transfers. - Jacob Goldverg; Hasibul Jamil; Elvis Rodrigues; Tevfik Kosar (IEEE Internet Comput., 2025)