A Rules-to-Trees Conversion in the Inductive Database System VINLEN. - Tomasz Szydlo; Bartlomiej Sniezynski; Ryszard S. Michalski (Intelligent Information Systems, 2005)

Policy-based Context-aware Adaptable Software Components for Mobility Computing. - Tomasz Szydlo; Robert Szymacha; Krzysztof Zielinski (EDOC, 2006)

Context Dissemination and Aggregation for Ambient Networks: Jini Based Prototype. - Kazimierz Balos; Tomasz Szydlo; Robert Szymacha; Krzysztof Zielinski (EuroSSC, 2006)

Context generation and structuralization for ambient networks. - Tomasz Szydlo; Robert Szymacha; Krzysztof Zielinski (Autonomics, 2007)

Method of Adaptive Quality Control in Service Oriented Architectures. - Tomasz Szydlo; Krzysztof Zielinski (ICCS (1), 2008)

Environment Emulation for WSN Testbed. - Radoslaw Kaploniak; Lukasz Kwiatkowski; Tomasz Szydlo (Comput. Sci., 2012)

Adaptive Enterprise Service Bus. - Tomasz Szydlo; Krzysztof Zielinski (New Gener. Comput., 2012)

Adaptive SOA Solution Stack. - Krzysztof Zielinski; Tomasz Szydlo; Robert Szymacha; Jacek Kosinski; Joanna Kosinska; Marcin Jarzab (IEEE Trans. Serv. Comput., 2012)

Message Oriented Communication for IPv6 Enabled Pervasive Devices. - Tomasz Szydlo; Pawel Suder; Jakub Bibro (Comput. Sci., 2013)

Power aware MOM for telemetry-oriented applications using GPRS-enabled embedded devices - levee monitoring use case. - Tomasz Szydlo; Piotr Nawrocki; Robert Brzoza-Woch; Krzysztof Zielinski (FedCSIS, 2014)

Implementation, Deployment and Governance of SOA Adaptive Systems. - Robert Brzoza-Woch; Lukasz Czekierda; Jacek Dlugopolski; Piotr Nawrocki; Marek Psiuk; Tomasz Szydlo; Wojciech Zaborowski; Krzysztof Zielinski; Daniel Zmuda (Advanced SOA Tools and Applications, 2014)

Holistic Approach to Urgent Computing for Flood Decision Support. - Robert Brzoza-Woch; Marek Konieczny; Bartosz Kwolek; Piotr Nawrocki; Tomasz Szydlo; Krzysztof Zielinski (ICCS, 2015)

Predictive power consumption adaptation for future generation embedded devices powered by energy harvesting sources. - Tomasz Szydlo; Robert Brzoza-Woch (Microprocess. Microsystems, 2015)

Embedded systems in the application of fog computing - Levee monitoring use case. - Robert Brzoza-Woch; Marek Konieczny; Piotr Nawrocki; Tomasz Szydlo; Krzysztof Zielinski (SIES, 2016)

Mobile and wearable devices in an open and universal system for remote patient monitoring. - Tomasz Szydlo; Marek Konieczny (Microprocess. Microsystems, 2016)

Leveraging virtualization for scenario based IoT application testing. - Tomasz Szydlo; Joanna Sendorek (FedCSIS (Communication Papers), 2017)

Flow-Based Programming for IoT Leveraging Fog Computing. - Tomasz Szydlo; Robert Brzoza-Woch; Joanna Sendorek; Mateusz Windak; Chris Gniady (WETICE, 2017)

Rapid Embedded Systems Prototyping - an effective approach to embedded systems development. - Robert Brzoza-Woch; Lukasz Gurdek; Tomasz Szydlo (FedCSIS, 2018)

Enabling Machine Learning on Resource Constrained Devices by Source Code Generation of the Learned Models. - Tomasz Szydlo; Joanna Sendorek; Robert Brzoza-Woch (ICCS (2), 2018)

Holistic approach to management of IT infrastructure for environmental monitoring and decision support systems with urgent computing capabilities. - Bartosz Balis; Robert Brzoza-Woch; Marian Bubak; Marek Kasztelnik; Bartosz Kwolek; Piotr Nawrocki; Piotr Nowakowski; Tomasz Szydlo; Krzysztof Zielinski (Future Gener. Comput. Syst., 2018)

Software-Defined Virtual Testbed for IoT Systems. - Joanna Sendorek; Tomasz Szydlo; Robert Brzoza-Woch (Wirel. Commun. Mob. Comput., 2018)

Remote Programming and Reconfiguration System for Embedded Devices. - Robert Brzoza-Woch; Tomasz Michalec; Maksymilian Wojczuk; Tomasz Szydlo (FedCSIS, 2019)

FogFlow - Computation Organization for Heterogeneous Fog Computing Environments. - Joanna Sendorek; Tomasz Szydlo; Mateusz Windak; Robert Brzoza-Woch (ICCS (3), 2019)

Resource-aware log monitoring data transmission for Smart and IoT devices. - Tomasz Szydlo; Krzysztof Zielinski; Marcin Jarzab (MobiQuitous, 2020)

Machine Learning in the Internet of Things for Industry 4.0. - Tomasz Szydlo; Joanna Sendorek; Robert Brzoza-Woch; Mateusz Windak (CoRR, 2020)

Supporting the Process of Sewer Pipes Inspection Using Machine Learning on Embedded Devices. - Mieszko Klusek; Tomasz Szydlo (ICCS (6), 2021)

Renewable Energy-Aware Heuristic Algorithms for Edge Server Selection for Stream Data Processing. - Tomasz Szydlo; Chris Gniady (ICCS (4), 2021)

Dataset for Anomalies Detection in 3D Printing. - Tomasz Szydlo; Joanna Sendorek; Mateusz Windak; Robert Brzoza-Woch (ICCS (4), 2021)

TinyRL: Towards Reinforcement Learning on Tiny Embedded Devices. - Tomasz Szydlo; Prem Prakash Jayaraman; Yinhao Li; Graham Morgan; Rajiv Ranjan 001 (CIKM, 2022)

Online Anomaly Detection Based On Reservoir Sampling and LOF for IoT devices. - Tomasz Szydlo (CoRR, 2022)

Dynamic Data Streams for Time-Critical IoT Systems in Energy-Aware IoT Devices Using Reinforcement Learning. - Fawzy Habeeb; Tomasz Szydlo; Lukasz Kowalski; Ayman Noor; Dhaval Thakker; Graham Morgan; Rajiv Ranjan 001 (Sensors, 2022)

FedMSA: A Model Selection and Adaptation System for Federated Learning. - Rui Sun; Yinhao Li; Tejal Shah; Ringo W. H. Sham; Tomasz Szydlo; Bin Qian 002; Dhaval Thakker; Rajiv Ranjan 001 (Sensors, 2022)

IoTSim-Osmosis-RES: Towards autonomic renewable energy-aware osmotic computing. - Tomasz Szydlo; Amadeusz Szabala; Nazar Kordiumov; Konrad Siuzdak; Lukasz Wolski; Khaled Alwasel; Fawzy Habeeb; Rajiv Ranjan 001 (Softw. Pract. Exp., 2022)

Dynamic Bandwidth Slicing for Time-Critical IoT Data Streams in the Edge-Cloud Continuum. - Fawzy Habeeb; Khaled Alwasel; Ayman Noor; Devki Nandan Jha; Duaa AlQattan; Yinhao Li; Gagangeet Singh Aujla; Tomasz Szydlo; Rajiv Ranjan 001 (IEEE Trans. Ind. Informatics, 2022)

Tiny-Impute: A Framework for On-device Data Quality Validation, Hybrid Anomaly Detection, and Data Imputation at the Edge. - Shamil Al-Ameen; Bharath Sudharsan; Tomasz Szydlo; Roua Al-Taie; Tejal Shah; Rajiv Ranjan 001 (UCC, 2023)

Device management and network connectivity as missing elements in TinyML landscape. - Tomasz Szydlo; Marcin Nagy (CoRR, 2023)

Addressing the Faults Landscape in the Internet of Things: Toward Datacentric and System Resilience. - Sultan Altarrazi; Tomasz Szydlo; Schahram Dustdar; Satish Narayana Srirama; Rajiv Ranjan 001 (IEEE Internet Comput., 2023)

Poly Instance Recurrent Neural Network for Real-time Lifelong Learning at the Low-power Edge. - Shamil Al-Ameen; Bharath Sudharsan; Tejus Vijayakumar; Tomasz Szydlo; Tejal Shah; Rajiv Ranjan 001 (IEEE Big Data, 2024)

μChaos: Moving Chaos Engineering to IoT Devices. - Wojciech Kalka; Tomasz Szydlo (ICCS (7), 2024)

Automating Data Quality Monitoring for Environmental Air Quality System. - Sultan Altarrazi; Tomasz Szydlo; Devki Nandan Jha; Rajiv Ranjan 001 (SAC, 2025)

Management of TinyML-Enabled Internet of Things Devices. - Tomasz Szydlo; Marcin Nagy (IEEE Micro, 2025)

Benchmarking of CPU-intensive Stream Data Processing in The Edge Computing Systems. - Tomasz Szydlo; Viacheslaw Horbanow; Devki Nandan Jha; Shashikant Ilager; Aleksander Slominski; Rajiv Ranjan 001 (CoRR, 2025)

Higher-Order Graph Databases. - Maciej Besta; Shriram Chandran; Jakub Cudak; Patrick Iff; Marcin Copik; Robert Gerstenberger; Tomasz Szydlo; Jürgen Müller; Torsten Hoefler (CoRR, 2025)

MicroFaaS: Adaptive serverless computing for Internet of Things. - Olgierd Krolik; Tomasz Szydlo (Future Gener. Comput. Syst., 2026)