FlowOS: a pure flow-based vision of network traffic. - Abdul Alim; Mehdi Bezahaf; Laurent Mathy (ANCS, 2012)

FlowOS: a flow-based platform for middleboxes. - Mehdi Bezahaf; Abdul Alim; Laurent Mathy (HotMiddlebox@CoNEXT, 2013)

NetAgg: Using Middleboxes for Application-specific On-path Aggregation in Data Centres. - Luo Mai; Lukas Rupprecht; Abdul Alim; Paolo Costa; Matteo Migliavacca; Peter R. Pietzuch; Alexander L. Wolf (CoNEXT, 2014)

FLICK: Developing and Running Application-Specific Network Services. - Abdul Alim; Richard G. Clegg; Luo Mai; Lukas Rupprecht; Eric Seckler; Paolo Costa; Peter R. Pietzuch; Alexander L. Wolf; Nik Sultana; Jon Crowcroft; Anil Madhavapeddy; Andrew W. Moore 002; et al. (USENIX ATC, 2016)

Cloud Data Center Fabric Virtualization. - Ali Sydney; Abdul Alim; Chris Ward; Claude Basso; Bengi Karacali (CLOUD, 2022)

DeHonk: A deep learning based system to characterize vehicular honks in presence of ambient noise. - Biswajit Maity; Abdul Alim; Sanghita Bhattacharjee; Subrata Nandi (Pervasive Mob. Comput., 2023)

Digital file size computational procedure in multimedia big data using sampling methodology. - Abdul Alim; Diwakar Shukla (Multim. Tools Appl., 2023)

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)

Vela: A Virtualized LLM Training System with GPU Direct RoCE. - Apoorve Mohan; Robert Walkup; Bengi Karacali; Ming-Hung Chen; Abdullah Kayi; Liran Schour; Shweta Salaria; Sophia Wen; I-Hsin Chung; Abdul Alim; Constantinos Evangelinos; Lixiang Luo; et al. (ASPLOS (2), 2025)