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  • OPtimization of Electric Vehicle Autonomy

Papers & Presentations

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  • Papers & Presentations

    1. Datasets

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    3. 1- Tiago Fonseca , Pedro Chaves , Luis Lino Ferreira , Nuno Gouveia , David Costa , André Oliveira , Jorge Landeck ,”Dataset for identifying maintenance needs of home appliances using artificial intelligence”.(https://doi.org/10.1016/j.dib.2023.109068)
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    5. Journal papers

       

      2024

      1- Antonio Cilfone, Luca Davoli, Gianluigi Ferrari, “LoRa meets IP: a Container-based Architecture to Virtualize LoRaWAN End Nodes” , Accepted in IEEE Transactions on Mobile Computing.[Download]

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    7. 2- Emanuele Pagliari, Luca Davoli, Gianluigi Ferrari, “Harnessing Communication Heterogeneity: Architectural Design, Analytical Modeling, and Performance Evaluation of an IoT Multi-Interface Gateway”, Accepted in IEEE Internet of Things Journal.[Download]
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    9. 3- Tiago Fonseca, Luis Ferreira, Bernardo Cabral, Ricardo Severino, Kingsley Nweye, Dipanjan Ghose, Zoltan Nagy, “EVLearn: Extending the CityLearn Framework with Electric Vehicle Simulation”. (https://doi.org/10.48550/arXiv.2404.06521)
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    11. 4- Tiago Fonseca, Luis Ferreira, Bernardo Cabral, Ricardo Severino, Isabel Praca, “EnergAIze: Multi Agent Deep Deterministic Policy Gradient for Vehicle to Grid Energy Management”.(https://doi.org/10.48550/arXiv.2404.02361)
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    13. 5- E. Pagliari, L. Davoli and G. Ferrari, “Wi-Fi-based Real-Time UAV Localization: a Comparative Analysis between RSSI-based and FTM-based Approaches,” in IEEE Transactions on Aerospace and Electronic Systems.(https://doi.org/10.1109/TAES.2024.3433829)
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    15. 6-Kubicek K, Cech M, Strelec M. A Robust Distributed Algorithm for Solving the Economic Dispatch Problem with the Penetration of Renewables and Battery Systems. Applied Sciences. 2024; 14(5):1991. (https://doi.org/10.3390/app14051991) 
       
    16. 7-L. Douaidi, SM. Senouci, I. EL-Korbi, F. Harrou, A. Yazici “Federated Deep Learning for Enhanced Prediction of Electric Vehicle  Charging Station Availability”, Accepted in Cluster Computing. [Download]
             

    1. 2023

      1- H.A. Abdulghani, A. Collen, N.A. Nijdam, “Guidance Framework for Developing IoT-Enabled Systems’ Cybersecurity”, Accepted in Sensors 2023.(https://doi.org/10.3390/s23084174)

       

      2- T. Lenard, A. Collen, M. Benyahya, N.A. Nijdam, B. Genge, “Exploring Trust Modelling and Management Techniques in the Context of Distributed Wireless Networks: A Literature Review”, IEEE Access. ( https://doi.org/10.1109/ACCESS.2023.3320945)

    2. 3- Rauf, A.M.; Abdel-Monem, M.; Geury, T.; Hegazy, O. “A Review on Multilevel Converters for Efficient Integration of Battery Systems in Stationary Applications”, Accepted in Energies. (https://doi.org/10.3390/en16104133)

       

      4- Severino R, Rodrigues J, Alves J, Ferreira LL. Performance Assessment and Mitigation of Timing Covert Channels over the IEEE 802.15.4. Journal of Sensor and Actuator Networks. 2023; 12(4):60. (https://doi.org/10.3390/jsan12040060)

       

      5- Nazila Bagheri, Saleh Yousefi, Gianluigi Ferrari, “Software-defined traffic light preemption for faster emergency medical service response in smart cities”. (https://doi.org/10.1016/j.aap.2023.107425)[Download]

       

      6- Alper Kanak, Salih Ergün, İbrahim Arif, S. Halit Ergün, Cengiz Bektaş, Ali Serdar Atalay, Oguzhan Herkiloğlu, Dominique Defossez, Ahmet Yazıcı, Luis Lino Ferreira, Martin Strelec, Karel Kubicek, Martin Cech, Luca Davoli, Laura Belli, Gianluigi Ferrari, Dilara Bayar, Ali Kafalı, Ahu Ece Hartavi Karcı and Patrick Constant, “The OPEVA Manifest: OPtimisation of Electrical Vehicle Autonomy, a Research and Innovation project” Accepted in Open Research Europe.(https://doi.org/10.12688/openreseurope.17021.1).[Download]

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    1. 7- A. Dairi, F. Harrou, B. Bouyeddou, SM. Senouci, and Y. Sun, “Semi-supervised deep learning-driven anomaly detection schemes for cyber-attack detection in smart grids” Accepted in Springer Power Systems Cybersecurity.(https://doi.org/10.1007/978-3-031-20360-2_11)[Download]
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    4. 8- Mehdi Madjid Abbas, Omar Rafik Merad Boudia, Sidi Mohammed Senouci, Ghalem Belalem, “Blockchain-based Secure Multifunctional Data Aggregation for Fog-IoT Environments” Accepted in Concurrency and Computation: Practice and Experience (Wiley),(http://dx.doi.org/10.1002/cpe.8212)[Download]

    5. Conference papers

       

      2024

      1- Ali Serdar, Ahu Ece Hartavi Karcı, İbrahim Arif, Salih Ergün, and Alper Kanak, “Different Facets of Artificial Intelligence-Based Predictive Maintenance for Electric Powertrains”, Presented in TRA2024, 10th Transport Research Arena Conference, 2024.[Download]

       

      2- Alper Kanak, Salih Ergün, Ali Serdar, Ahu Ece Hartavi Karcı, and Baran Çürüklü, “Integrated Design Flow Methodology for Open-Source Innovations in Smart Transportation: Empowering Accountable AI and Cybersecurity”, Presented in TRA2024, 10th Transport Research Arena Conference, 2024.[Download]

       

      • 3- Bağlum C., Yayan U., Yazıcı A.,”Automated Generation and Evaluation of Electrical Vehicles Software Test Scenarios Using Large Language Models” 25th Turkish Automatic Control National Conference (TOK 2024). [Download]

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      4- A.R. Houalef, F. Delavernhe, SM. Senouci, E. Aglzim, “Utilizing Data-Driven Techniques to Improve Predictive Modeling of Connected Electric Vehicle Energy Consumption”, IEEE VTC2024-Fall. [Download]

    6. 5- L. Douaidi, SM. Senouci, I. EL-Korbi, F. Harrou “Optimizing EV Charging Recommendations Using Graph Neural Networks”, IEEE VTC2024-Fall. [Download]

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    9. 6- Tiago Fonseca, Luis Ferreira, Bernardo Cabral, Ricardo Severino, Isabel Praca, “EnergAIze: Multi Agent Deep Deterministic Policy Gradient for Vehicle to Grid Energy Management” IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids.(https://doi.org/10.48550/arXiv.2404.02361)
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    11. 7- Alejandro Campoy-Nieves, Antonio Manjavacas, Javier Jiménez-Raboso, Miguel Molina-Solana & Juan Gómez-Romero,”CityLearn v2: energy-flexible, resilient, occupant-centric, and carbon-aware management of grid-interactive communities” Accepted in Journal of Building Performance Simulation.(https://doi.org/10.1080/19401493.2024.2418813).[Download]
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    13. 8- Asaf SOFU, Yunus KARAMAVUS, Veysel Karadağ, Emrah Yirik, Hakan Adıgüzel, Onur Ok, Murat Erat, “Electric Vehicle Charger Station with second-life battery storage system” Otekon 2024, 11th International Automotive Technologies Conference.[Download]
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    15. 9- Mehmet Göl, Onur Ok, Veysel Karadağ, Ahu Ece Hartavi, “Accurate range prediction in electric vehicles: integrating internal and external data for enhanced performance” Otekon 2024, 11th International Automotive Technologies Conference.[Download]
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    1. 10- Florian Scherr, Fikret Basic, Patrick Eder, Christian Steger, Robert Kofler, “Next-Generation Battery Management Systems: Integrating RFID for Battery Passport Applications” IEEE RFID Technologies and Applications 2024. [Download]
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    1. 11- Muhammed Özberk, Alim Kerem Erdoğmuş, Hande Ateş, Ali Kafalı, Okan Ulu, Muhammet Tarık Yılmaz, Muhammed Oğuz Taş, Muhammed Atav, “Real-Time Data Acquisition Device and HMI Panel Development for Electric Vehicles: Sample Application on Musoshi L5 EV” The 25th National Automatic Control Conference (TOK 2024). [Download]
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    3. 12- Dolay Demirel, Muhammed Oğuz Taş, Zeynep Tuğba Cem, Dilara Bayar, Ali Kafalı, Gülce Yüceer, Umutcan Ağgez, “Data-Driven Accurate SoC Estimation in Electric Vehicles: Musoshi Pop-Up Mini EV Application” The 25th National Automatic Control Conference (TOK 2024). [Download]
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    5. 13- Ünal Y., Sarıçiçek İ., Bozkurt Keser S., Yazıcı A.,”Adaptive Large Neighborhood Search Approach for Electric Vehicle Routing Problem” 25th Turkish Automatic Control National Conference (TOK 2024). [Download]
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    7. 14- Polat A.A. , Sarıçiçek İ., Bozkurt Keser S., Yazıcı A. “Energy Efficient Path Analysis: From the Perspective of Electric Vehicle Routing” 25th Turkish Automatic Control National Conference (TOK 2024). [Download]
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    9. 2023

      1- Karel Kubicek, Jindrich Wolf, Vaclav Helma, “Distributed method for Economic Dispatch Problem with a battery system and a variable fuel price”, Presented in 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA).[Download]

       

      2- T. Lenard, A. Collen, N.A. Nijdam, B. Genge,  ”A Key to Embedded System Security: Locking and Unlocking Secrets with a Trusted Platform Module”, Presented in 2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) (https://doi.org/10.1109/EuroSPW59978.2023.00041).[Download]

       

      3- T. Lenard, B. Genge, A. Collen, N.A. Nijdam, “LOKI-2: An Improved Lightweight Cryptographic Key Distribution Protocol for Automotive Systems”, Presented in 2023 IEEE 19th International Conference on Intelligent Computer Communication and Processing.[Download]

       

      4- T. Lenard, “A Tale of Two Automotive Security Services: A Formal Analysis”, Presented in International Conference Interdisciplinarity in Engineering – INTER-ENG 2023. [Download]

       

      5- Lydia DOUAIDI, Sidi-Mohammed SENOUCI, Ines EL KORBI, and Fouzi HARROU, “Predicting Electric Vehicle Charging Stations Occupancy: A Federated Deep Learning Framework”, Presented in 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), 2023. [Download]

       

      6- Fikret Basic, Claudia Rosina Laube, Patrick Stratznig, Christian Steger, Robert Kofler, “Wireless BMS Architecture for Secure Readout in Vehicle and Second life Applications”, Presented in IEEE 8th International Conference on Smart and Sustainable Technologies, 2023.[Download]

       

      7- Fikret Basic, Christian Seifert, Christian Steger, Robert Kofler, “Secure Data Acquisition for Battery Management Systems”, Presented in 26th Euromicro Conference Series on Digital System Design (DSD), 2023.[Download]