COSMGrid: Configurable, off-the-shelf micro grid. - Jonathan Fürst; Nik Gawinowski; Sebastian Büttrich; Philippe Bonnet (GHTC, 2013)

BUSICO 3D: building simulation and control in unity 3D. - Jonathan Fürst; Gabe Fierro; Philippe Bonnet; David E. Culler (SenSys, 2014)

Poster Abstract: Intuitive Appliance Identification using Image Matching in Smart Buildings. - Kaifei Chen; John Kolb; Jonathan Fürst; Dezhi Hong; Randy H. Katz (BuildSys, 2015)

Demo Abstract: Human-in-the-loop BMS Point Matching and Metadata Labeling with Babel. - Jonathan Fürst; Kaifei Chen; Randy H. Katz; Philippe Bonnet (BuildSys, 2015)

Leveraging Physical Locality to Integrate Smart Appliances in Non-Residential Buildings with Ultrasound and Bluetooth Low Energy. - Jonathan Fürst; Kaifei Chen; Mohammad Al-Jarrah; Philippe Bonnet (IoTDI, 2016)

Crowd-sourced BMS point matching and metadata maintenance with Babel. - Jonathan Fürst; Kaifei Chen; Randy H. Katz; Philippe Bonnet (PerCom Workshops, 2016)

A Practical Model for Human-Smart Appliances Interaction: Poster Abstract. - Jonathan Fürst; Andreas Fruergaard; Marco Høvinghof Johannesen; Philippe Bonnet (BuildSys, 2016)

SnapLink: Fast and Accurate Vision-Based Appliance Control in Large Commercial Buildings. - Kaifei Chen; Jonathan Fürst; John Kolb; Hyung-Sin Kim; Xin Jin 008; David E. Culler; Randy H. Katz (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Elastic Services for Edge Computing. - Jonathan Fürst; Mauricio Fadel Argerich; Bin Cheng 003; Apostolos Papageorgiou (CNSM, 2018)

Evaluating Bluetooth Low Energy for IoT. - Jonathan Fürst; Kaifei Chen; Hyung-Sin Kim; Philippe Bonnet (Bench@CPSWeek, 2018)

Automated Wireless Localization Data Acquisition and Calibration with 6DOF Image Localization. - Jonathan Fürst; Kaifei Chen; Gürkan Solmaz; Ernö Kovacs (UbiComp/ISWC Adjunct, 2018)

Towards Adaptive Actors for Scalable IoT Applications at the Edge. - Jonathan Fürst; Mauricio Fadel Argerich; Kaifei Chen; Ernö Kovacs (Open J. Internet Things, 2018)

Fog Function: Serverless Fog Computing for Data Intensive IoT Services. - Bin Cheng 003; Jonathan Fürst; Gürkan Solmaz; Takuya Sanada (SCC, 2019)

Learn from IoT: Pedestrian Detection and Intention Prediction for Autonomous Driving. - Gürkan Solmaz; Everton Luís Berz; Marzieh Dolatabadi Farahani; Samet Aytaç; Jonathan Fürst; Bin Cheng 003; Joris Den Ouden (SMAS@MobiCom, 2019)

Reinforcement Learning based Orchestration for Elastic Services. - Mauricio Fadel Argerich; Bin Cheng 003; Jonathan Fürst (WF-IoT, 2019)

Tutor4RL: Guiding Reinforcement Learning with External Knowledge. - Mauricio Fadel Argerich; Jonathan Fürst; Bin Cheng 003 (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1), 2020)

Group-In: Group Inference from Wireless Traces of Mobile Devices. - Gürkan Solmaz; Jonathan Fürst; Samet Aytaç; Fang-Jing Wu (IPSN, 2020)

Towards Knowledge Infusion for Robust and Transferable Machine Learning in IoT. - Jonathan Fürst; Mauricio Fadel Argerich; Bin Cheng 003; Ernö Kovacs (Open J. Internet Things, 2020)

Urban Digital Twins - A FIWARE-based model. - Martin Bauer 001; Flavio Cirillo; Jonathan Fürst; Gürkan Solmaz; Ernö Kovacs (Autom., 2021)

Realizing the Digital Twin Transition for Smart Cities. - Jonathan Fürst; Bin Cheng 003; Benjamin Hebgen (Open J. Internet Things, 2021)

Leveraging Data-Driven Infrastructure Management to Facilitate AIOps for Big Data Applications and Operations. - Richard McCreadie; John Soldatos 001; Jonathan Fürst; Mauricio Fadel Argerich; George Kousiouris; Jean-Didier Totow; Antonio Castillo Nieto; Bernat Quesada Navidad; Dimosthenis Kyriazis; Craig Macdonald; Iadh Ounis (Technologies and Applications for Big Data Value, 2022)

Enabling data spaces: existing developments and challenges. - Gürkan Solmaz; Flavio Cirillo; Jonathan Fürst; Tobias Jacobs; Martin Bauer 001; Ernö Kovacs; Juan Ramón Santana; Luis Sánchez (DE@CoNEXT, 2022)

Interlinking the Brick Schema with Building Domain Ontologies. - Celia Garrido-Hidalgo; Jonathan Fürst; Bin Cheng 003; Luis Roda-Sanchez; Teresa Olivares; Ernö Kovacs (SenSys, 2022)

Lessons Learned on the Design of a Predictive Agent for LoRaWAN Network Planning. - Celia Garrido-Hidalgo; Jonathan Fürst; Luis Roda-Sanchez; Teresa Olivares; Antonio Fernández-Caballero 001 (PAAMS, 2023)

VersaMatch: Ontology Matching with Weak Supervision. - Jonathan Fürst; Mauricio Fadel Argerich; Bin Cheng 003 (Proc. VLDB Endow., 2023)

SM3-Text-to-Query: Synthetic Multi-Model Medical Text-to-Query Benchmark. - Sithursan Sivasubramaniam; Cedric Osei-Akoto; Yi Zhang 142; Kurt Stockinger; Jonathan Fürst (NeurIPS, 2024)

ASAG2024: A Combined Benchmark for Short Answer Grading. - Gérôme Meyer; Philip Breuer; Jonathan Fürst (SIGCSE Virtual (2), 2024)

Interactive Ontology Matching with Cost-Efficient Learning. - Bin Cheng 003; Jonathan Fürst; Tobias Jacobs; Celia Garrido-Hidalgo (CoRR, 2024)

Explainable Multi-Modal Data Exploration in Natural Language via LLM Agent. - Farhad Nooralahzadeh; Yi Zhang 142; Jonathan Fürst; Kurt Stockinger (CoRR, 2024)

Evaluating the Data Model Robustness of Text-to-SQL Systems Based on Real User Queries. - Jonathan Fürst; Catherine Kosten; Farhad Nooralahzadeh; Yi Zhang 142; Kurt Stockinger (EDBT, 2025)

Efficient and Reproducible Biomedical Question Answering Using Retrieval Augmented Generation. - Linus Stuhlmann; Michael Alexander Saxer; Jonathan Fürst (SDS, 2025)

Problem Solved? Information Extraction Design Space for Layout-Rich Documents using LLMs. - Gaye Colakoglu; Gürkan Solmaz; Jonathan Fürst (CoRR, 2025)