Grid Security for Fault Tolerant Grid Applications. - Nicole Hallama; André Luckow; Bettina Schnor (PDCS, 2006)

Distributed Replica-Exchange Simulations on Production Environments Using SAGA and Migol. - André Luckow; Shantenu Jha; Joohyun Kim 001; André Merzky; Bettina Schnor (eScience, 2008)

Service replication in Grids: Ensuring consistency in a dynamic, failure-prone environment. - André Luckow; Bettina Schnor (IPDPS, 2008)

Adaptive Checkpoint Replication for Supporting the Fault Tolerance of Applications in the Grid. - André Luckow; Bettina Schnor (NCA, 2008)

Migol: A fault-tolerant service framework for MPI applications in the grid. - André Luckow; Bettina Schnor (Future Gener. Comput. Syst., 2008)

A dependable middleware for enhancing the fault tolerance of distributed computations in grid environments. - André Luckow (Shaker, 2009)

SAGA BigJob: An Extensible and Interoperable Pilot-Job Abstraction for Distributed Applications and Systems. - André Luckow; Lukasz Lacinski; Shantenu Jha (CCGRID, 2010)

Abstractions for Loosely-Coupled and Ensemble-Based Simulations on Azure. - André Luckow; Shantenu Jha (CloudCom, 2010)

Earliest Start Time Estimation for Advance Reservation-Based Resource Brokering within Computational Grids. - Feng Liang; Shilong Ma; André Luckow; Bettina Schnor (ISPA, 2010)

P∗: A model of pilot-abstractions. - André Luckow; Mark Santcroos; André Merzky; Ole Weidner; Pradeep Kumar Mantha; Shantenu Jha (eScience, 2012)

Towards a common model for pilot-jobs. - André Luckow; Mark Santcroos; Ole Weidner; André Merzky; Sharath Maddineni; Shantenu Jha (HPDC, 2012)

Advance Reservation-based Computational Resource Brokering using Earliest Start Time Estimation. - Feng Liang; Shilong Ma; André Luckow; Bettina Schnor (J. Comput., 2012)

Exploring Dynamic Enactment of Scientific Workflows Using Pilot-Abstractions. - Mark Santcroos; Barbera D. C. van Schaik; Shayan Shahand; Sílvia Delgado Olabarriaga; André Luckow; Shantenu Jha (CCGRID, 2013)

Pilot-Data: An Abstraction for Distributed Data - André Luckow; Mark Santcroos; Ole Weidner; Ashley Zebrowski; Shantenu Jha (CoRR, 2013)

A Tale of Two Data-Intensive Paradigms: Applications, Abstractions, and Architectures. - Shantenu Jha; Judy Qiu; André Luckow; Pradeep Kumar Mantha; Geoffrey C. Fox (BigData Congress, 2014)

Synthetic data generation for the internet of things. - Jason W. Anderson; Ken E. Kennedy; Linh Bao Ngo; André Luckow; Amy W. Apon (IEEE BigData, 2014)

Towards a Comprehensive Set of Big Data Benchmarks. - Geoffrey C. Fox; Shantenu Jha; Judy Qiu; Saliya Ekanayake; André Luckow (High Performance Computing Workshop, 2014)

Automotive big data: Applications, workloads and infrastructures. - André Luckow; Ken Kennedy; Fabian Manhardt; Emil Djerekarov; Bennie Vorster; Amy W. Apon (IEEE BigData, 2015)

HPC-ABDS High Performance Computing Enhanced Apache Big Data Stack. - Geoffrey C. Fox; Judy Qiu; Supun Kamburugamuve; Shantenu Jha; André Luckow (CCGRID, 2015)

Evaluating R-Based Big Data Analytic Frameworks. - Mei Liang; Cesar Trejo; Lavanya Muthu; Linh Bao Ngo; André Luckow; Amy W. Apon (CLUSTER, 2015)

Pilot-Abstraction: A Valid Abstraction for Data-Intensive Applications on HPC, Hadoop and Cloud Infrastructures? - André Luckow; Pradeep Kumar Mantha; Shantenu Jha (CoRR, 2015)

Pilot-Data: An abstraction for distributed data. - André Luckow; Mark Santcroos; Ashley Zebrowski; Shantenu Jha (J. Parallel Distributed Comput., 2015)

Deep learning in the automotive industry: Applications and tools. - André Luckow; Matthew Cook 004; Nathan Ashcraft; Edwin Weill; Emil Djerekarov; Bennie Vorster (IEEE BigData, 2016)

Hadoop on HPC: Integrating Hadoop and Pilot-Based Dynamic Resource Management. - André Luckow; Ioannis Paraskevakos; George Chantzialexiou; Shantenu Jha (IPDPS Workshops, 2016)

Optimal scheduling of autonomous vehicle arrivals at intelligent intersections via MILP. - S. Alireza Fayazi; Ardalan Vahidi; André Luckow (ACC, 2017)

Representativeness of latent dirichlet allocation topics estimated from data samples with application to common crawl. - Yuheng Du; Alexander Herzog; André Luckow; Ramu Nerella; Christopher Gropp; Amy W. Apon (IEEE BigData, 2017)

Algebraic multigrid support vector machines. - Ehsan Sadrfaridpour; Sandeep Jeereddy; Ken Kennedy; André Luckow; Talayeh Razzaghi; Ilya Safro (ESANN, 2017)

Introducing distributed dynamic data-intensive (D3) science: Understanding applications and infrastructure. - Shantenu Jha; Daniel S. Katz; André Luckow; Neil P. Chue Hong; Omer F. Rana; Yogesh Simmhan (Concurr. Comput. Pract. Exp., 2017)

Artificial Intelligence and Deep Learning Applications for Automotive Manufacturing. - André Luckow; Ken Kennedy; Marcin Ziolkowski; Emil Djerekarov; Matthew Cook 004; Edward B. Duffy; Michael Schleiss; Bennie Vorster; Edwin Weill; Ankit Kulshrestha; Melissa C. Smith (IEEE BigData, 2018)

Performance and Memory Trade-offs of Deep Learning Object Detection in Fast Streaming High-Definition Images. - Aishwarya Srivastava; Dung Nguyen 005; Siddhant Aggarwal; André Luckow; Edward B. Duffy; Ken Kennedy; Marcin Ziolkowski; Amy W. Apon (IEEE BigData, 2018)

Evaluation of Highly Available Cloud Streaming Systems for Performance and Price. - Dung Nguyen 005; André Luckow; Edward B. Duffy; Ken Kennedy; Amy W. Apon (CCGrid, 2018)

Pilot-Streaming: A Stream Processing Framework for High-Performance Computing. - Georgios Chantzialexiou; André Luckow; Shantenu Jha (eScience, 2018)

Task-parallel Analysis of Molecular Dynamics Trajectories. - Ioannis Paraskevakos; André Luckow; Mahzad Khoshlessan; George Chantzialexiou; Thomas E. Cheatham; Oliver Beckstein; Geoffrey C. Fox; Shantenu Jha (ICPP, 2018)

Task-parallel Analysis of Molecular Dynamics Trajectories. - Ioannis Paraskevakos; André Luckow; George Chantzialexiou; Mahzad Khoshlessan; Oliver Beckstein; Geoffrey C. Fox; Shantenu Jha (CoRR, 2018)

A Distributed Message Delivery Infrastructure for Connected Vehicle Technology Applications. - Yuheng Du; Mashrur Chowdhury; Mizanur Rahman; Kakan C. Dey; Amy W. Apon; André Luckow; Linh Bao Ngo (IEEE Trans. Intell. Transp. Syst., 2018)

Performance Characterization and Modeling of Serverless and HPC Streaming Applications. - André Luckow; Shantenu Jha (IEEE BigData, 2019)

EdgeInsight: Characterizing and Modeling the Performance of Machine Learning Inference on the Edge and Cloud. - Philipp Ross; André Luckow (IEEE BigData, 2019)

Toward a Decentralized Marketplace for Self-Maintaining Machines. - Daniel Miehle; Matthias M. Meyer; André Luckow; Bernd Bruegge; Michael Essig (Blockchain, 2019)

PartChain: A Decentralized Traceability Application for Multi-Tier Supply Chain Networks in the Automotive Industry. - Daniel Miehle; Dominic Henze; Andreas Seitz; André Luckow; Bernd Bruegge (DAPPCON, 2019)

Privacy-preserving Blockchain-based Systems for Car Sharing Leveraging Zero-Knowledge Protocols. - Ivan Gudymenko; Asadullah Khalid; Hira Siddiqui; Mujtaba Idrees; Sebastian Clauß 001; André Luckow; Manuel Bolsinger; Daniel Miehle (DAPPS, 2020)

Methods and Experiences for Developing Abstractions for Data-intensive, Scientific Applications. - André Luckow; Shantenu Jha (IPDPS Workshops, 2020)

Deployment of a cloud pipeline for real-time visual inspection using fast streaming high-definition images. - Aishwarya Srivastava; Siddhant Aggarwal; Amy W. Apon; Edward B. Duffy; Ken Kennedy; André Luckow; Brandon Posey; Marcin Ziolkowski (Softw. Pract. Exp., 2020)

Exploring privacy-enhancing technologies in the automotive value chain. - Gonzalo Munilla Garrido; Kaja Schmidt; Christopher Harth-Kitzerow; Johannes Klepsch; André Luckow; Florian Matthes (IEEE BigData, 2021)

The DLPS: A New Framework for Benchmarking Blockchains. - Johannes Sedlmeir; Philipp Ross; André Luckow; Jannik Lockl; Daniel Miehle; Gilbert Fridgen (HICSS, 2021)

Exploring Task Placement for Edge-to-Cloud Applications using Emulation. - André Luckow; Kartik Rattan; Shantenu Jha (ICFEC, 2021)

Pilot-Edge: Distributed Resource Management Along the Edge-to-Cloud Continuum. - André Luckow; Kartik Rattan; Shantenu Jha (IPDPS Workshops, 2021)

Token Economy. - Ali Sunyaev; Niclas Kannengießer; Roman Beck; Horst Treiblmaier; Mary C. Lacity; Johann Kranz; Gilbert Fridgen; Ulli Spankowski; André Luckow (Bus. Inf. Syst. Eng., 2021)

Quantum Computing: Towards Industry Reference Problems. - André Luckow; Johannes Klepsch; Josef Pichlmeier (CoRR, 2021)

QUARK: A Framework for Quantum Computing Application Benchmarking. - Jernej Rudi Finzgar; Philipp Ross; Leonhard Hölscher; Johannes Klepsch; André Luckow (QCE, 2022)

CRGC: A Practical Framework for Constructing Reusable Garbled Circuits. - Christopher Harth-Kitzerow; Georg Carle; Fan Fei; André Luckow; Johannes Klepsch (SECRYPT, 2022)

An in-depth investigation of the performance characteristics of Hyperledger Fabric. - Tobias Guggenberger; Johannes Sedlmeir; Gilbert Fridgen; André Luckow (Comput. Ind. Eng., 2022)

QUARK: A Framework for Quantum Computing Application Benchmarking. - Jernej Rudi Finzgar; Philipp Ross; Johannes Klepsch; André Luckow (CoRR, 2022)

Optimization of Robot Trajectory Planning with Nature-Inspired and Hybrid Quantum Algorithms. - Martin J. A. Schuetz; John Kyle Brubaker; Henry Montagu; Yannick van Dijk; Johannes Klepsch; Philipp Ross; André Luckow; Mauricio G. C. Resende; Helmut G. Katzgraber (CoRR, 2022)

Revealing the landscape of privacy-enhancing technologies in the context of data markets for the IoT: A systematic literature review. - Gonzalo Munilla Garrido; Johannes Sedlmeir; Ömer Uludag; Ilias Soto Alaoui; André Luckow; Florian Matthes (J. Netw. Comput. Appl., 2022)

Enhancing Complex Image Synthesis with Conditional Generative Models and Rule Extraction. - Chafic Abou Akar; André Luckow; Ahmad Obeid 001; Christian Beddawi; Marc Kamradt; Abdallah Makhoul (ICMLA, 2023)

Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK. - Florian J. Kiwit; Marwa Marso; Philipp Ross; Carlos A. Riofrío; Johannes Klepsch; André Luckow (QCE, 2023)

A Conceptual Architecture for a Quantum-HPC Middleware. - Nishant Saurabh; Shantenu Jha; André Luckow (QSW, 2023)

Performance Characterization of Expert Router for Scalable LLM Inference. - Josef Pichlmeier; Philipp Ross; André Luckow (IEEE Big Data, 2024)

Domain-Aware LLM Routing During Generation. - Josef Pichlmeier; Philipp Ross; André Luckow (IEEE Big Data, 2024)

"We Are Visual Thinkers, Not Verbal Thinkers!": A Thematic Analysis of How Professional Designers Use Generative AI Image Generation Tools. - Hyerim Park; Joscha Eirich; André Luckow; Michael Sedlmair (NordiCHI, 2024)

Assessing the Requirements for Industry Relevant Quantum Computation. - Anna M. Krol; Marvin Erdmann; Ewan Munro; André Luckow; Zaid Al-Ars (QCE, 2024)

Towards Application-Aware Quantum Circuit Compilation. - Nils Quetschlich; Florian J. Kiwit; Maximilian A. Wolf; Carlos A. Riofrío; Lukas Burgholzer; André Luckow; Robert Wille (QSW, 2024)

Expert Router: Orchestrating Efficient Language Model Inference through Prompt Classification. - Josef Pichlmeier; Philipp Ross; André Luckow (CoRR, 2024)

Quantum Mini-Apps: A Framework for Developing and Benchmarking Quantum-HPC Applications. - Nishant Saurabh; Pradeep Kumar Mantha; Florian J. Kiwit; Shantenu Jha; André Luckow (CoRR, 2024)

Quantum Computing for Automotive Applications: From Algorithms to Applications. - Carlos A. Riofrío; Johannes Klepsch; Jernej Rudi Finzgar; Florian J. Kiwit; Leonhard Hölscher; Marvin Erdmann; Lukas Müller; Chandan Kumar; André Luckow (CoRR, 2024)

Pilot-Quantum: A Quantum-HPC Middleware for Resource, Workload and Task Management. - Pradeep Kumar Mantha; Florian J. Kiwit; Nishant Saurabh; Shantenu Jha; André Luckow (CoRR, 2024)

Quantum-centric supercomputing for materials science: A perspective on challenges and future directions. - Yuri Alexeev; Maximilian Amsler; Marco Antonio Barroca; Sanzio Bassini; Torey Battelle; Daan Camps; David Casanova; Young Jay Choi; Frederic T. Chong; Charles Chung; Christopher Codella; Antonio D. Córcoles; et al. (Future Gener. Comput. Syst., 2024)

Benchmarking Quantum Generative Learning: A Study on Scalability and Noise Resilience using QUARK. - Florian J. Kiwit; Maximilian A. Wolf; Marwa Marso; Philipp Ross; Jeanette Miriam Lorenz; Carlos A. Riofrío; André Luckow (Künstliche Intell., 2024)

Exploring Visual Prompts: Refining Images with Scribbles and Annotations in Generative AI Image Tools. - Hyerim Park; Malin Eiband; André Luckow; Michael Sedlmair (CHI Extended Abstracts, 2025)

Compositional Execution Motifs for Quantum-HPC Systems. - Nishant Saurabh; Pradeep Kumar Mantha; Shantenu Jha; André Luckow (IPDPS (Workshops), 2025)