Research Publications

Arup Kumar Sarker, Mills Staylor, Aymen Alsaadi, Gregor von Laszewski, Shantenu Jha, and Geoffrey Fox. OpRAG (formerly AAFLOW): Scalable patterns for agentic AI workflows. Accepted in SoCC 2026.

Arup Kumar Sarker, AJ Halpern, Mills Staylor, Aymen Alsaadi, Gregor von Laszewski, Shantenu Jha, Yue Cheng, and Geoffrey Fox. AAFLOW+: Stateful Operator Abstraction with Zero-Copy Distributed KV Cache Orchestration for Multi-Agent Workflows. Published at Supercomputing HPF 2026.

Arup Kumar Sarker, Aymen Alsaadi, Alexander James Halpern, Prabhath Tangella, Mikhail Titov, Gregor von Laszewski, Shantenu Jha, and Geoffrey Fox. Deep RC: A scalable data engineering and deep learning pipeline. Accepted on Job Scheduling Strategies for Parallel Processing

Arup Kumar Sarker, Aymen Alsaadi, Niranda Perera, Mills Staylor, Gregor von Laszewski, Matteo Turilli, Ozgur Ozan Kilic, Mikhail Titov, Andre Merzky, Shantenu Jha, and Geoffrey Fox. Radical-cylon: A heterogeneous data pipeline for scientific computing. In Dalibor Klus´aˇcek, Julita Corbal´an, and Gonzalo P. Rodrigo, editors, Job Scheduling Strategies for Parallel Processing, pages 84–102, Cham, 2025. Springer Nature Switzerland.

Arup Kumar Sarker, Niranda Perera, Kaiying Shan, Alex Fetea, Supun Kamburugamuve, Thejaka Amila Kanewala, Chathura Widanage, Mills Staylor, Tianle Zhong, Vibhatha Abeykoon, et al. Supercharging distributed computing environments for high-performance data engineering. Frontiers in High Performance Computing, 2:1384619, 2024.

Arup Kumar Sarker, Aymen Alsaadi, Niranda Perera, Mills Staylor, Gregor von Laszewski, Matteo Turilli, Ozgur Ozan Kilic, Mikhail Titov, Andr´e Merzky, Shantenu Jha, et al. Design and implementation of an analysis pipeline for heterogeneous data. CoRR, 2024

Sarker, Arup Kumar, and Felix Xiaozhu Lin. ‘Incremental Perception on Real Time 3D Data’. Proceedings of the 23rd Annual International Workshop on Mobile Computing Systems and Applications, 2022, pp. 68–73.

Perera, Niranda, Arup Kumar Sarker, et al. ‘In-depth Analysis On Parallel Processing Patterns for High-Performance Dataframes ’. Future Generation Computer Systems, 149, 250-264.

Staylor, Mills, Arup Kumar Sarker, Gregor von Laszewski, Geoffrey C. Fox, Yue Cheng, and Judy Fox. "Combining serverless and high-performance computing paradigms to support ML data-intensive applications." Frontiers in High Performance Computing 4 (2026): 1767201.

Shan, Kaiying, Arup Kumar Sarker, et al. ‘Hybrid Cloud and HPC Approach to High-Performance Dataframes’. 2022 IEEE International Conference on Big Data (Big Data), IEEE, 2022, pp. 2728–2736.

Arup Kumar Sarker, Md Khairul Islam, et al. ‘MVAM: Multi-Variant Attacks on Memory for IoT Trust Computing’.Proceedings of Cyber-Physical Systems and Internet of Things Week 2023, 13-18.

Sarker, Arup Kumar, Farzana Yasmin Ahmad, et al. ‘PCV: A Point Cloud-Based Network Verifier’. ArXiv Preprint ArXiv:2301. 11806, 2023.

Reza, Sakib, Arup Kumar Sarker, et al. ELECTRONIC DEVICE FOR IMAGE PROCESSING AND OPERATING METHOD OF THE SAME. jan # ‘ 12’, note=US Patent App. 17/832,164 2023.

Mondal, Briti Sundar, Arup Kumar Sarker, et al. ‘Reconstruction of Gene Regulatory Networks Using Differential Evolution’. 2010 13th International Conference on Computer and Information Technology (ICCIT), IEEE, 2010, pp. 440–445.