Publications

Books

Global Order in the Age of Artificial Intelligence (Upcoming)

In Global Order in the Age of Artificial Intelligence, Emilia Justyna Powell and Jarek Nabrzyski bring together an interdisciplinary cast of leading experts to conduct a wide-ranging exploration of the ways AI is reshaping the global order. The volume illustrates how AI is transforming international relations, security, and institutional legitimacy, and investigates who has the authority to redefine global interactions in the age of AI. The collection addresses three interrelated questions: What is the future of the global order and does that order need to reinvent itself? How ought AI technology be integrated into the institutional fabric of the world? And, importantly, which groups of international actors have the power and authority to reconceptualize and reorder pre-existing global interactions? Chapter authors address these questions as well as the critical challenges presented by AI in governance, international security, ethics, human rights, national security, and sustainability.

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Grid Resource Management: State of the Art and Future Trends

Grid Resource Management: State of the Art and Future Trends presents an overview of the state of the field and describes both the real experiences and the current research available today. Grid computing is a rapidly developing and changing field, involving the shared and coordinated use of dynamic, multi-institutional resources. Grid resource management is the process of identifying requirements, matching resources to applications, allocating those resources, and scheduling and monitoring Grid resources over time in order to run Grid applications as efficiently as possible.
While Grids have become almost commonplace, the use of good Grid resource management tools is far from ubiquitous because of the many open issues of the field, including the multiple layers of schedulers, the lack of control over resources, the fact that resources are shared, and that users and administrators have conflicting performance goals.

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Scholarly Articles

Explore a collection of recent research articles and other publications from Jarek Nabrzyski and collaborators.

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2026

• A. Joshi, E.L. Morgan, A. Marczak-Czajka, A. Kuehlkamp, E. Joyce, ..., Corpus-based analysis of human values in blockchain and constitutions, Distributed Ledger Technologies: Research and Practice 5 (4), 1-28
• S. You, A. Joshi, A. Kuehlkamp, J. Nabrzyski, MVF-Composer: Trust-Weighted Controller for Stress-Resilient Stablecoin Reserves, 2026 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), 1-9
• E. Therese Joyce, J. Nabrzyski, Trust Without Understanding: A Case Study of Industrial Computer Vision in Protein Processing, Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems
• S. You, A. Joshi, A. Kuehlkamp, J. Nabrzyski, Stablecoin Design with Adversarial-Robust Multi-Agent Systems via Trust-Weighted Signal Aggregation, arXiv preprint arXiv:2601.22168
• S. You, A. Joshi, A. Kuehlkamp, J. Nabrzyski, ASAS-BridgeAMM: Trust-Minimized Cross-Chain Bridge AMM with Failure Containment, arXiv preprint arXiv:2601.12434

2025

• S.K. Radha, A. Kuehlkamp, J. Nabrzyski, Advancing transparency and responsibility in machine learning: The critical role of FAIR principles-A comprehensive review, ACM Journal on Responsible Computing 2 (4), 1-38
• B. Haslhofer, J. Xu, F. Victor, M. Bartoletti, A. Bracciali, K. Matsuura, ..., Financial Cryptography and Data Security. FC 2025 International Workshops: CoDecFin, FinTeAchin, VOTING, Miyakojima, Japan, April 18, 2025, Revised Selected Papers, Part II, Springer Nature
• S. You, A. Kuehlkamp, J. Nabrzyski, Hybrid Stabilization Protocol for Cross-Chain Digital Assets Using Adaptor Signatures and AI-Driven Arbitrage, International Conference on Financial Cryptography and Data Security, 138-161
• C. Josenhans, A. Kuehlkamp, J. Nabrzyski, Characterizing Transfer Graphs of Suspicious ERC-20 Tokens, arXiv preprint arXiv:2501.11668

2024

• S.K. Radha, A. Kuehlkamp, J. Nabrzyski, The future of document verification: Leveraging blockchain and self-sovereign identity for enhanced security and transparency, arXiv preprint arXiv:2412.01531
• S. You, K. Radivojevic, J. Nabrzyski, P. Brenner, Persona preserving reputation protocol (P2RP) for enhanced security, privacy, and trust in blockchain oracles, Cluster Computing 27 (4), 3945-3956
• S. You, A. Joshi, A. Kuehlkamp, J. Nabrzyski, A multi-party, multi-blockchain atomic swap protocol with universal adaptor secret, arXiv preprint arXiv:2406.16822
• K.K. Saha, W. Robson, C. Howington, I.S. Suh, Z. Wang, J. Nabrzyski, Enhancing scalability and accuracy of quantum poisson solver: KK Saha et al., Quantum Information Processing 23 (6), 209

2023

• S. You, A. Joshi, A. Kuehlkamp, J. Nabrzyski, Mining User Behavior in Decentralized Applications for Blockchain Trust and Security Analytics, 2023 Fifth International Conference on Blockchain Computing and Applications (BCA)
• A. Marczak-Czajka, J. Nabrzyski, J. Cleland-Huang, Accountable design for individual, societal, and regulated values in the UAV domain, 2023 IEEE 31st International Requirements Engineering Conference (RE), 287-292
• I. Barclay, A. Preece, I. Taylor, S.K. Radha, J. Nabrzyski, Providing assurance and scrutability on shared data and machine learning models with verifiable credentials, Concurrency and Computation: Practice and Experience 35 (18), e6997
• A. Murillo, D. Brower, S. Hossain, K. Kee, A. Mandal, J. Nabrzyski, E. Scott, ..., Broadening Student Engagement To Build the Next Generation of Cyberinfrastructure Professionals, Practice and Experience in Advanced Research Computing 2023

2022

• K.K. Saha, W. Robson, C. Howington, I.S. Suh, Z. Wang, J. Nabrzyski, Advancing algorithm to scale and accurately solve quantum Poisson equation on near-term quantum hardware, arXiv preprint arXiv:2210.16668
• W. Robson, K.K. Saha, C. Howington, I.S. Suh, J. Nabrzyski, Advanced quantum Poisson solver in the NISQ era, 2022 IEEE International Conference on Quantum Computing and Engineering (QCE)
• S. You, K. Radivojevic, J. Nabrzyski, P. Brenner, Trust in the context of blockchain applications, 2022 Fourth International Conference on Blockchain Computing and Applications
• A.P. Murillo, E. Deelman, J. Nabrzyski, L. Pottier, Broadening Student Participation in Cyberinfrastructure Research and Development, Practice and Experience in Advanced Research Computing 2022
• B. Amos, C. Aurrecoechea, M. Barba, A. Barreto, E.Y. Basenko, R. Belnap, ..., VEuPathDB: the eukaryotic pathogen, vector and host bioinformatics resource center, Nucleic acids research 50 (D1), D898-D911

2021

• M. Peszyńska, A. Trykozko, K. Augustson, Computational upscaling of inertia effects from porescale to mesoscale, Computational Science–ICCS 2009: 9th International Conference Baton Rouge
• F. Asuncion, A. Brinckman, D. Cole, J. Curtis, M. Davis, T. Dunlevy, C. Farmer, ..., Connecting supplier and DoD blockchains for transparent part tracking, Blockchain: Research and Applications 2 (3), 100017
• S.K. Radha, I. Taylor, J. Nabrzyski, I. Barclay, Verifiable badging system for scientific data reproducibility, Blockchain: Research and Applications 2 (2), 100015
• E. Deelman, A. Mandal, A.P. Murillo, J. Nabrzyski, V. Pascucci, R. Ricci, ..., Blueprint: Cyberinfrastructure center of excellence, arXiv preprint arXiv:2103.04195
• Y. Cohen, J. Nabrzyski, I. Taylor, Framework for block-chain deployment in assembly of an air-craft or a SpaceCraft, IFAC-PapersOnLine 54 (1), 988-992
• S. Bogol, P. Brenner, A. Brinckman, E. Deelman, R.F. da Silva, S. Gupta, ..., A secure gateway for enabling application specific integrated circuit design collaborations, CEUR Workshop Proceedings 2975

2020

• G. Li, Y. Qiu, C. Jiang, M. Malawski, J. Nabrzyski, 2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on …, IEEE
• K. Li, Y. Qiu, C. Jiang, M. Malawski, J. Nabrzyski, Improving system utilization on wireless HPC systems with torus interconnects, 2020 IEEE 22nd International Conference on High Performance Computing and Communications
• I. Barclay, S. Radha, A. Preece, I. Taylor, J. Nabrzyski, Certifying provenance of scientific datasets with self-sovereign identity and verifiable credentials, arXiv preprint arXiv:2004.02796
• B. Rost, B. Jones, M. Vyushkova, A. Ali, C. Cullip, A. Vyushkov, J. Nabrzyski, Simulation of thermal relaxation in spin chemistry systems on a quantum computer using inherent qubit decoherence, arXiv preprint arXiv:2001.00794
• B. Rost, B. Jones, M. Vyushkova, A. Ali, C. Cullip, A. Vyushkov, J. Nabrzyski, Noisy simulation of quantum beats in radical pairs on a quantum computer, arXiv preprint arXiv:2001.00794
• K. Chard, N. Gaffney, M. Hategan, K. Kowalik, B. Ludäscher, T. McPhillips, ..., Toward enabling reproducibility for data-intensive research using the Whole Tale platform, Parallel Computing: Technology Trends, 766-778

2019

• E. Brinckman, A. Kuehlkamp, J. Nabrzyski, I.J. Taylor, Techniques and applications for crawling, ingesting and analyzing blockchain data, 2019 international conference on information and communication technology
• K. Chard, N. Gaffney, M.B. Jones, K. Kowalik, B. Ludäscher, T. McPhillips, ..., Application of BagIt-serialized research object bundles for packaging and re-execution of computational analyses, 2019 15th International Conference on eScience (eScience), 514-521
• S. Jha, S. Lathrop, J. Nabrzyski, L. Ramakrishnan, Incorporating scientific workflows in computing research processes, Computing in Science & Engineering 21 (4), 4-6
• K. Chard, N. Gaffney, M.B. Jones, K. Kowalik, B. Ludäscher, J. Nabrzyski, ..., Implementing computational reproducibility in the Whole Tale environment, Proceedings of the 2nd International Workshop on Practical Reproducible Evaluation
• K. Li, J. Nabrzyski, Networked virtual machine placement in edge cloud systems, 2019 18th International Symposium on Parallel and Distributed Computing
• A. Brinckman, K. Chard, N. Gaffney, M. Hategan, M.B. Jones, K. Kowalik, ..., Computing environments for reproducibility: Capturing the “Whole Tale”, Future Generation Computer Systems 94, 854-867
• A. Brinckman, E. Deelman, S. Gupta, J. Nabrzyski, S. Park, R.F. da Silva, ..., Collaborative circuit designs using the CRAFT repository, Future Generation Computer Systems 94, 841-853
• P. Chang, G. Allen, W. Anderson, F.B. Bianco, J.S. Bloom, P.R. Brady, ..., Cyberinfrastructure requirements to enhance multi-messenger astrophysics, arXiv preprint arXiv:1903.04590

2018

• B. Mecum, S. Wyngaard, C. Willis, M. Turk, T. Thelen, I. Taylor, V. Stodden, ..., Science, containerized: Integrating provenance and compute environments with the Whole Tale, AGU Fall Meeting Abstracts 2018, IN53A-02
• K. Li, J. Nabrzyski, Virtual machine placement in cloudlet mesh, Journal of Communications and Networks 20 (3), 266-278

2017

• K. Li, J. Nabrzyski, Traffic-aware virtual machine placement in cloudlet mesh with adaptive bandwidth, 2017 IEEE International Conference on Cloud Computing Technology and Science
• A. Brinckman, D. Luc, J. Nabrzyski, G.L. Neidig, J. Neidig, T.A. Puckett, ..., A comparative evaluation of blockchain systems for application sharing using containers, 2017 IEEE 13th International Conference on e-Science (e-Science), 490-497
• K. Li, J. Nabrzyski, Virtual machine placement in cloudlet mesh with network topology reconfigurability, 2017 IEEE 6th International Conference on Cloud Networking (CloudNet), 1-7
• K. Li, M Malawski, J. Nabrzyski, Reducing fragmentation on 3d torus-based HPC systems using packing-based job scheduling and job placement reconfiguration, 2017 16th International Symposium on Parallel and Distributed Computing
• J. Wyngaard, H. Lynch, J. Nabrzyski, A. Pope, S. Jha, Hacking at the divide between polar science and HPC: using hackathons as training tools, 2017 IEEE International Parallel and Distributed Processing Symposium
• J. Taylor, J. Nabrzyski, Towards a dashboard environment for repeating and reusing research, PeerJ Preprints 5, e2845
• K. Li, M. Malawski, P. Oleksy, J. Nabrzyski, Advances in Topology-Aware Scheduling in Multidimensional Torus-Based Systems, New Frontiers in High Performance Computing and Big Data, 93-118
• N. E. Michael, B.K. Singh, B.K. Mayala, M.E. Smith, S. Hampton, Continental-scale, data-driven predictive assessment of eliminating the vector-borne disease, lymphatic filariasis, in sub-Saharan Africa by 2020, BMC Medicine
• K. Li, M. Malawski, J. Nabrzyski, Topology-aware job allocation in 3d torus-based HPC systems with hard job priority constraints, Procedia Computer Science 108, 515-524
• J. Taylor, A. Brinckman, E. Deelman, R.F. da Silva, S. Gupta, J. Nabrzyski, ..., Accelerating Circuit Realization via a Collaborative Gateway of Innovations, IWSG

2016

• H. Ferguson, C. Vardeman, J. Nabrzyski, Linked data view methodology and application to BIM alignment and interoperability, 2016 IEEE International Conference on Big Data (Big Data), 2626-2635
• H. Ferguson, C. Vardeman, J. Nabrzyski, Linked data platform for building cloud-based smart applications and connecting API access points with data discovery techniques, 2016 IEEE International Conference on Big Data (Big Data), 3016-3025
• V. Stodden, K. Chard, N. Gaffney, M.B. Jones, B. Ludaescher, J. Nabrzyski, ..., Reproducible Research in the Geosciences, AGU Fall Meeting Abstracts 2016, IN42A-03
• B. Ludäscher, K. Chard, N. Gaffney, M.B. Jones, J. Nabrzyski, V. Stodden, ..., Capturing the "whole tale" of computational research: Reproducibility in computing environments, arXiv preprint arXiv:1610.09958
• R. Arifin, S.C. James, D.A. de Alwis Pitts, A.F. Hamlet, A. Sharma, ..., Simulating the thermal behavior in Lake Ontario using EFDCR, Journal of Great Lakes Research 42 (3), 511-523
• T. Ferguson, S. Gesing, J. Nabrzyski, Measuring usability in decision tools supporting collaborations for environmental disaster response, 2016 49th Hawaii International Conference on System Sciences (HICSS), 2872-2881

2015

• I. Pietri, R. Sakellariou, Cost-efficient CPU provisioning for scientific workflows on clouds, International conference on grid economics and business models, 49-64
• M. Malawski, G. Juve, E. Deelman, J. Nabrzyski, Algorithms for cost-and deadline-constrained provisioning for scientific workflow ensembles in IaaS clouds, Future Generation Computer Systems 48, 1-18
• K. Li, M Malawski, J. Nabrzyski, Topology-aware scheduling on blue waters with proactive queue scanning and migration-based job placement, Workshop on Job Scheduling Strategies for Parallel Processing, 217-231
• I. Giraldo-Calderón, S.J. Emrich, R.M. MacCallum, G. Maslen, E. Dialynas, ..., VectorBase: an updated bioinformatics resource for invertebrate vectors and other organisms related with human diseases, Nucleic Acids Research 43 (D1), D707-D713
• S. Clouds, F. Armenta, A. Tchernykh, R. Yahyapour, J. Nabrzyski, Cost Optimization of Virtual Machine Provisioning in Federated IaaS Clouds, Conference: 5th International Conference on Supercomputing
• D. Huo, J. Nabrzyski, C. Vardeman, Smart Container: an Ontology Towards Conceptualizing Docker, ISWC (Posters & Demos)
• D. Huo, J. Nabrzyski, C.F. Vardeman II, An Ontology Design Pattern towards Preservation of Computational Experiments, LISC@ ISWC, 15-18
• M. Malawski, K. Figiela, M. Bubak, E. Deelman, J. Nabrzyski, Scheduling multilevel deadline‐constrained scientific workflows on clouds based on cost optimization, Scientific Programming 2015 (1), 680271