Big Data in 5G Distributed Applications. - Valentina Nejkovic; Ari Visa; Milorad Tosic; Nenad Petrovic 001; Mikko Valkama; Mike Koivisto; Jukka Talvitie; Svetozar R. Rancic; Daniel Grzonka; Jacek Tchórzewski; Pierre Kuonen; Francisco Gortázar (High-Performance Modelling and Simulation for Big Data Applications, 2019)

Semantic approach to RIoT autonomous robots mission coordination. - Valentina Nejkovic; Nenad Petrovic 001; Milorad Tosic; Nenad Milosevic 001 (Robotics Auton. Syst., 2020)

SMADA-Fog: Semantic model driven approach to deployment and adaptivity in fog computing. - Nenad Petrovic 001; Milorad Tosic (Simul. Model. Pract. Theory, 2020)

Level Crossing Rate of Next Generation Wireless Systems with Selection Combining in the Presence of k-µ Fading and Interference: Derivation and Simulation. - Dragana Krstic; Suad Suljovic; Nenad Petrovic 001; Zoran Popovic; Mihajlo C. Stefanovic (ConTEL, 2021)

A Utility to Transform CSV Data into EMF. - Issam Al-Azzoni; Nenad Petrovic 001; Abdullah Alqahtani 001 (SDS, 2021)

Determination of LCR for Multi-branch SC Receiver under the Effects of α-κ-µ Fading and Weibull Co-Channel Interference. - Suad Suljovic; Dragana Krstic; Nenad Petrovic 001; Zoran Popovic (SoftCOM, 2021)

Data-Driven Solutions in Smart Cities: The case of Covid-19. - Nenad Petrovic 001; Vlado Dimovski; Judita Peterlin; Maja Mesko; Vasja Roblek (WWW (Companion Volume), 2021)

A Model-Driven Approach for Solving the Software Component Allocation Problem. - Issam Al-Azzoni; Julian Blank; Nenad Petrovic 001 (Algorithms, 2021)

On Persisting EMF Data Using Blockchains. - Issam Al-Azzoni; Nenad Petrovic 001 (IOTSMS, 2022)

Determining the ABEP under the Influence of K -µ Fading and CCI with SC combining at L-branch Receiver Using Moment Generating Function. - Dragana Krstic; Suad Suljovic; Nenad Petrovic 001; Sinisa Minic; Zoran Popovic (SoftCOM, 2022)

Head pose healthiness prediction using a novel image quality based stacked autoencoder. - Valentina Nejkovic; Muhammed Maruf Öztürk; Nenad Petrovic 001 (Digit. Signal Process., 2022)

Approach to QoS Prediction Leveraging Impact of Beaulieu-Xie Fading and κ-µ Co-Channel Interference on SC Diversity Receiver Outage Probability. - Dragana Krstic; Suad Suljovic; Dejan N. Milic; Nenad Petrovic 001 (ConTEL, 2023)

Data Analytics on Blockchains. - Issam Al-Azzoni; Saqib Iqbal; Nenad Petrovic 001 (ICBC, 2023)

Utilizing LCR of Wireless System with SC Receiver Weakened by Beaulieu-Xie Fading and κ-¼ Interference for Machine Learning-Based QoS Prediction. - Dragana Krstic; Suad Suljovic; Nenad Petrovic 001; Sinisa Minic; Zoran Popovic (SISY, 2023)

Semantic Micro-Front-End Approach to Enterprise Knowledge Graph Applications Development. - Milorad Tosic; Nenad Petrovic 001; Olivera Tosic (WEBIST, 2023)

Security in DevSecOps: Applying Tools and Machine Learning to Verification and Monitoring Steps. - Matija Cankar; Nenad Petrovic 001; João Pita Costa; Ales Cernivec; Jan Antic; Tomaz Martincic; Dejan Stepec (ICPE (Companion), 2023)

LLM-Driven Testing for Autonomous Driving Scenarios. - Nenad Petrovic 001; Krzysztof Lebioda; Vahid Zolfaghari; André Schamschurko; Sven Kirchner; Nils Purschke; Fengjunjie Pan; Alois Knoll (FLLM, 2024)

Adopting RAG for LLM-Aided Future Vehicle Design. - Vahid Zolfaghari; Nenad Petrovic 001; Fengjunjie Pan; Krzysztof Lebioda; Alois Knoll (FLLM, 2024)

RAG-Aided Approach to Network Experimentation: Case of Wireless Environment Channel Capacity Analysis under Fading and Co-Channel Interference Conditions with Beaulieu-Xie Distribution. - Dragana Krstic; Suad Suljovic; Nenad Petrovic 001; Miodrag Brklje; Zoran Popovic (SoftCOM, 2024)

Toward Software-Defined Vehicles: From Model-Based Engineering to Virtualization-Based Deployment. - Fengjunjie Pan; Markus Rickert 001; Tobias Betz; Long Wen 003; Jianjie Lin; Nenad Petrovic 001; Markus Lienkamp; Alois Knoll (IEEE Access, 2024)

Towards Single-System Illusion in Software-Defined Vehicles - Automated, AI-Powered Workflow. - Krzysztof Lebioda; Viktor Vorobev; Nenad Petrovic 001; Fengjunjie Pan; Vahid Zolfaghari; Alois Knoll (CoRR, 2024)

Synergy of Large Language Model and Model Driven Engineering for Automated Development of Centralized Vehicular Systems. - Nenad Petrovic 001; Fengjunjie Pan; Krzysztof Lebioda; Vahid Zolfaghari; Sven Kirchner; Nils Purschke; Muhammad Aqib Khan; Viktor Vorobev; Alois Knoll (CoRR, 2024)

MDE and LLM Synergy for Network Experimentation: Case Analysis of Wireless System Performance in Beaulieu-Xie Fading and κ-µ Co-Channel Interference Environment with Diversity Combining. - Dragana Krstic; Suad Suljovic; Goran T. Djordjevic; Nenad Petrovic 001; Dejan N. Milic (Sensors, 2024)

Are Requirements Really All You Need? Using LLMs to Generate Configuration Code: A Case Study in Automotive Simulations. - Krzysztof Lebioda; Nenad Petrovic 001; Fengjunjie Pan; Vahid Zolfaghari; André Schamschurko; Alois Knoll (IEEE Access, 2025)

Multi-modal Summarization in Model-Based Engineering: Automotive Software Development Case Study. - Nenad Petrovic 001; Yurui Zhang; Moaad Maaroufi; Kuo-Yi Chao; Lukasz Mazur; Fengjunjie Pan; Vahid Zolfaghari; Alois Knoll (CoRR, 2025)

LLM-based Iterative Approach to Metamodeling in Automotive. - Nenad Petrovic 001; Fengjunjie Pan; Vahid Zolfaghari; Alois Knoll (CoRR, 2025)

RECSIP: REpeated Clustering of Scores Improving the Precision. - André Schamschurko; Nenad Petrovic 001; Alois C. Knoll (CoRR, 2025)

LLM-enabled Instance Model Generation. - Fengjunjie Pan; Nenad Petrovic 001; Vahid Zolfaghari; Long Wen 003; Alois Knoll (CoRR, 2025)

Automating Automotive Software Development: A Synergy of Generative AI and Formal Methods. - Fengjunjie Pan; Yinglei Song; Long Wen 003; Nenad Petrovic 001; Krzysztof Lebioda; Alois Knoll (CoRR, 2025)

Optimizing Retrieval Augmented Generation for Object Constraint Language. - Kevin Chenhao Li; Vahid Zolfaghari; Nenad Petrovic 001; Fengjunjie Pan; Alois Knoll (CoRR, 2025)

Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations. - Krzysztof Lebioda; Nenad Petrovic 001; Fengjunjie Pan; Vahid Zolfaghari; André Schamschurko; Alois Knoll (CoRR, 2025)

Querying Large Automotive Software Models: Agentic vs. Direct LLM Approaches. - Lukasz Mazur; Nenad Petrovic 001; James William Pontes Miranda; Ansgar Radermacher; Robert Rasche; Alois Knoll (CoRR, 2025)

Survey of GenAI for Automotive Software Development: From Requirements to Executable Code. - Nenad Petrovic 001; Vahid Zolfaghari; André Schamschurko; Sven Kirchner; Fengjunjie Pan; Chengdng Wu; Nils Purschke; Aleksei Velsh; Krzysztof Lebioda; Yinglei Song; Yi Zhang; Lukasz Mazur; et al. (CoRR, 2025)

GenAI for Automotive Software Development: From Requirements to Wheels. - Nenad Petrovic 001; Fengjunjie Pan; Vahid Zolfaghari; Krzysztof Lebioda; André Schamschurko; Alois Knoll (CoRR, 2025)

A Unified Perception-Language-Action Framework for Adaptive Autonomous Driving. - Yi Zhang; Erik Leo Haß; Kuo-Yi Chao; Nenad Petrovic 001; Yinglei Song; Chengdong Wu 002; Alois Knoll (CoRR, 2025)

Hallucination in LLM-Based Code Generation: An Automotive Case Study. - Marc Pavel; Nenad Petrovic 001; Lukasz Mazur; Vahid Zolfaghari; Fengjunjie Pan; Alois Knoll (CoRR, 2025)