P1

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• M. Metin; S. Özcan; A. B. Yıldırım; S. Baghaee; E. Uysal; A. H. E. Osunluk  "Duty Cycle Compatible Fresh Data Tranmission with LoRa", SIU 2025 Conference

• Goal Oriented Networks for Sustainable Machine-Type Communication (GÖREV) Project - 2247 - A - National Outstanding Researchers Program || 2247-D National Young Leaders Program - TÜBİTAK BİDEB (2025)

• A. Balci, B. Saatçi, E. Atak, E. Uysal, "Implementation of an AoI-Aware Wi-Fi Network," IEEE Signal Processing and Communications Applications Conference, SIU (2024).

• O.T. Yavascan, U. Gurbuz, M. Ahmetoglu, E. Uysal, O. Gencay, A. Balci, DCCTA: Age of Information in Slotted ALOHA under Duty Cycle Constraints, ICNC (2024).

• O. Gencay, A. Balci, E.T. Ceran, E. Uysal, Ensuring a Semantically Effective IoT Network Through Blockchain with Delayed Feedback, ICNC (2024).

• C. Ari, M.K.C. Shisher, E. Uysal, Y. Sun, Goal-Oriented Communications for Remote Inference with Two-Way Delay, conference version to appear in ISIT (2024).

• M Ahmetoglu, OT Yavascan, E Uysal, "Mini Slotted Random Access Protocol With An Age Threshold", US Patent App. 18/684,694, (2024).

• S. Baghaee, E.Uysal, "A3L-FEC: Age-Aware Application Layer Forward Error Correction Flow Control", arXiv preprint arXiv:2410.05852 (2024).

• OT Yavaşcan, S Çıtır, E Uysal, "Optimal Sampling under Cost for Remote Estimation of the Wiener Process over a Channel with Delay", arXiv preprint arXiv:2407.21181 (2024).

• S. Baghaee, E.Uysal, "A3L-FEC-FSFB: Age-Aware Application Layer Forward Error Correction with Fixed Sampling Rate and Fixed Block-length," IEEE Signal Processing and Communications Applications Conference, SIU (2024).

• O. Gencay, A. Balci, E.T. Ceran, E. Uysal, "Ensuring A Semantically Effective IoT Network Through Blockchain With Delayed Feedback", ICNC (2024).

• O.T. Yavascan, M. Ahmetoglu, E. Uysal, "MuMiSTA: An Age-Aware Reservation-Based Random Access Policy", 2023 Wiopt MOSC Workshop, Singapore (2023).

• T. Kartal, O. Kaya, E. Uysal, Resource Allocation in the Finite Blocklength Regime under PAoI and Delay Violation Constraints, RAWNET (in conj. with WiOpt 2023), Singapore, August (2023).

• M. Ayik, E.T. Ceran, E. Uysal, "Optimization of AoII and QAoII in Multi-User Links", INFOCOM (2023).

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P2

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• System Architecture
• Scenario Documents
• OBU-HMI Interface Document
• Scenarios Software Sequence Diagrams – ongoing
• Scenarios Software Activity Diagrams – ongoing

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P3

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• Roozbeh Bonakdar, M. Emin Akbulut, Cagatay Edemen, Onur Keskin, Onur Kaya, Murat Uysal, Visible Light Communication With Solar Cell Receiver For Indoor Iot Applications, 32nd Signal Processing and Communication Applications Conference, Tarsus University, Mersin.

• Farshad Miramirkhani, Tuncer Baykas, Mohammed Elamassie, and Murat Uysal, Reference Channel Models for Light Communications, IEEE 802.11BB.

• Reza Bayat Rizi, Farshad Miramirkhani, Amir R. Forouzan, Mohamad Farzan Sabahi, Lida Kouhalvandi, Machine Learning-Driven Adaptive Modulation for VLC-Enabled Medical Body Sensor Networks.

• Ahmed Hany Dalloul, Farshad Miramirkhani, Lida Kouhalvandi, Ladislau Matekovits, Enabling 6G: Machine Learning Approach for Channel Parameter Estimation in VLC-based Medical Body Sensor Network.

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P4

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• ARISE project (It aims to develop an AI-based cybersecurity concept for continuously monitoring and assessing various cyber threats to edge, cloud, and IoT platforms within Europe's interconnected digital ecosystem and for implementing mitigation and risk prevention strategies.), H2020. (Under evaluation)

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P5

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• MANTIS - Advanced Driving Assistance and Precision Positioning System for Micro-Mobility (Accepted, Project Ongoing)
• Remote Control and Fleet Management System for Autonomous Vehicles and Swarms (Evaluation Process Completed, Awaiting Results)
• Advanced Navigation Support and Safety System for Civil Maritime Vessels (Pre-Evaluation Process Ongoing)
• AI-Assisted Mobile Wide Area Surveillance System (Pre-Evaluation Process Ongoing)

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P6

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• A. H. Ayubi, F. Taskin, O. Caglar, S. Asik, C. Baglum, U. Yayan, "Evaluation of Deep Neural Network Quality by CleanAI Coverage Metrics Library," 2023 International Conference on Innovations in Intelligent Systems and Applications (INISTA), Hammamet, Tunisia, 2023, pp. 1-6, doi: 10.1109/INISTA59065.2023.10310324.
• Ayubi, A. H., Taskin, F., Caglar, O., Asik, S., Baglum, C., & Yayan, U. (2023). Evaluation of deep neural network quality by CleanAI coverage metrics library. In 2023 International Conference on Innovations in Intelligent Systems and Applications (INISTA) pp. 1-6. https://ieeexplore.ieee.org/document/10310324

  Yildiz, Ö. A., Sarıçiçek, İ., Özkan, K., & Yazici, A. (2024). Routing with Pickup and Delivery via Deep Reinforcement Learning. IEEE 32nd Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). https://ieeexplore.ieee.org/document/10600947

• Kahraman, S., Güneş, İ., Kırca, Y. S., Özkan, M., & Yazıcı, A. (2024). Online Route Analyzer (ORA): Runtime Verification Service for Routing Optimization of Electric Vehicles. 2024 32nd Signal Processing and Communications Applications Conference (SIU), 1–4. doi:10.1109/SIU61531.2024.10601154 https://ieeexplore.ieee.org/document/10601154

• Taş, M. B. H., Özkan, K., Sarıçiçek, İ., & Yazici, A. (2024). Traffic Light Control with Policy Gradient-Baseds Reinforcement Learning . IEEE 32nd Signal Processing and Communications Applications Conference (SIU), (pp. 1-4). doi:10.1109/SIU61531.2024.10600899. https://ieeexplore.ieee.org/document/10600899

• Sevim, E., Dalgıç, U. E., Yılmaz, M., Çinar, E., & Yazıcı, A. (2024). Optimization of Charging Prediction in Electric Vehicle Fleets: An Integrated Approach with EdgeAI and Data Flow Pipelines. IEEE 32nd Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). https://ieeexplore.ieee.org/document/10600795

• Çetiner, G., Baglum, C., Yayan, U., & Yazıcı, A. (2024). White Box Testing Module for Evaluation of Transformers-Based DNNs. In Proceedings of the 2024 Innovations in Intelligent Systems and Applications Conference (ASYU). IEEE. https://ieeexplore.ieee.org/document/10757012

• Yılmaz, M., Kanber, B., Kırca, Y.S., Kahraman, S., Özkan, K., Yayan, U., Sarıçiçek, İ., Çinar, E., Özkan, E., Yazıcı, A. (2025). Elektrikli Araç Filoları için Nesnelerin İnterneti Tabanlı Haberleşme Sistemi Gerçeklemesi. IEEE 33rd Signal Processing and Communications Applications Conference (SİU 2025)

• Yılmaz, M., Çınar, E., & Yazıcı, A. (2024). Elektrikli Araçlarda Otonom Batarya Yönetim Sistemi Literatür İncelemesi. EMO Bilimsel Dergi, 14(2), 7-22. https://dergipark.org.tr/tr/download/issue-file/80587

• Cetiner, G., Yayan, U., & Yazıcı, A., (2024). Mutation Based White Box Testing of Deep Neural Networks. IEEE Access, vol.12, 160156-160174. https://ieeexplore.ieee.org/document/9737039

• M. Yılmaz, E. Çinar and A. Yazıcı, "A Transformer-Based Model for State of Charge Estimation of Electric Vehicle Batteries," in IEEE Access, vol. 13, pp. 33035-33048, 2025, doi: 10.1109/ACCESS.2025.3542961. https://ieeexplore.ieee.org/abstract/document/10891541

• Taş, M. B. H., Özkan, K., Sarıçiçek, İ., & Yazici, A. (2025). Transportation Mode Selection Using Reinforcement Learning in Simulation of Urban Mobility. Applied Sciences, 15(2), 806. https://www.mdpi.com/2076-3417/15/2/806

• Aslan Yıldız, Ö., Sarıçiçek, İ., & Yazıcı, A. (2025). A Reinforcement Learning-Based Solution for the Capacitated Electric Vehicle Routing Problem from the Last-Mile Delivery Perspective. Applied Sciences, 15(3), 1068.  https://www.mdpi.com/2076-3417/15/3/1068

• Yılmaz, M. F., Çinar, E., & Yazıcı, A., (2025). Federated Learning-Based State of Charge Estimation in Electric Vehicles Using Federated Adaptive Client Momentum. IEEE Access , vol.13, 72128-72141. https://ieeexplore.ieee.org/document/10973061

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P7

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• Küçükaslan, Ö.A., Göl M., "Solar Energy Production Estimation in Distribution Networks with Limited Number of Measurements", 32nd Signal Processing and Communication Applications Conference, Tarsus University, Mersin, 2024.

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P8

• Mehmet Burak Hekimoğlu; Sajjad Baghaee; Asiye İrem Büyüker; Ilkay Ulusoy, "IoT-Based Multi-Speed HVAC Control: Simulation Results and Testbed Development", SIU - 2025 Conference

• Mehmet Burak Hekimoğlu; Sajjad Baghaee; Ulaş Filiz; Ilkay Ulusoy; Klaus Werner Schmidt,  “Accelerating Reinforcement Learning for HVAC Systems Using an LSTM-based Surrogate Simulator”, SIU - 2025 Conference

• Utku Kırnapcı; Mehmet Burak Hekimoğlu; Sajjad Baghaee; Ilkay Ulusoy, “Ontology-Driven Smart Building Semantics: An EnergyPlus-SAREF Approach” , SIU - 2025 Conference

• Mert Dönmez; Sajjad Baghaee; Ilkay Ulusoy, “Benchmarking Deep Learning Models For Automated Waste Classification”, SIU - 2025 Conference

• Ulaş Filiz; Mehmet Burak Hekimoğlu; Sajjad Baghaee; Ilkay Ulusoy,  “Analysis of Model-Agnostic Meta-Reinforcement Learning on Automated HVAC Control”, SIU - 2025 Conference

• Ashhar Adnan; Sajjad Baghaee; Ilkay Ulusoy, “Material Characterization Based on Capacitive and Dielectric Properties for Waste Recycling”, SIU - 2025 Conference

• Halaçlı, E. G., Canlı, İ., İşeri, O. K., Yavuz, F., Akgül, Ç. M., Kalkan, S., & Dino, İ. G. (2023). A Novel Graph Neural Network for Zone-Level Urban-Scale Building Energy Use Estimation. In The 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys '23), November 15–16, 2023, Istanbul, Turkey. ACM, New York, NY, USA, 8 pages.

• Ilkim Canli*, Sevval Ucar*, Fatma Ece Gursoy, Eren Gokberk Halacli, Orcun Koral Iseri, Feyza Yavuz, Ipek Gursel Dino, Sinan Kalkan. Transfer Learning-Based Prediction of Heating Energy Consumption Using Urban Building Energy Models (UBEM). 3D Geo-Info & EG-ICE 2024

• TRANSMIT Projesi, EU Clean Energy Transition in the Built Environment - TÜBİTAK1071

• LEGOFIT Projesi, Horizon Europe

• Electrolyte Impact on Methane Production in Anaerobic Digestion - Microbial Electrolysis Cell (AD-MEC) Integrated Systems, Berkan Öden, Graduation Thesis

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P9

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• Multi-Ontology AI-based Facility Digital Twin (MOAF-DiT), The Eurostars Programme 2024 Eurostars-3 Call 6 (In the application phase)

• Sajjad Baghaee; Yavuz Eren, "MipMap Digital Twin: A Scalable IoT-Based Framework for Smart Cities and Circular Economy", SIU - 2025 Conference

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P10

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• Kutlar, F. E., Engin, I., & Yilmazel, Y. D. (2024). Nutrient recovery from manure digestate by using waste magnesite powder and bone meal as sustainable substitutes for struvite precipitation. Journal of Chemical Technology & Biotechnology.
  
• HORIZON-MSCA-2023-Doctoral Network  “LEAD - Leveraging Anaerobic Digestion through environmental stresses"
• Öden, B., & Yılmazel, Y. D. (2023). The effect of phosphate-buffered saline (PBS) on anaerobic digestion-microbial electrolysis cell (AD-MEC) integrated systems. In The 3rd International World Water Day Conference. SRH University Heidelberg, Germany (Online).
• Öden, B., & Yılmazel, Y. D. (2023). The Effect of Buffers on Anaerobic Digestion-Microbial Electrolysis Cell Integration Systems Processing Cattle Manure. 11th National Solid Waste Management Congress (UKAY). Ardahan University, Ardahan, Türkiye.
• Öden, B., Kutlar, F. E., Ghaderikia, A., Evren, B., Yilmazel, Y. D. (2024). Harnessing Microbial Power: Fully Automated Bioelectrochemical System for Methane Production, 18th International Water Association (IWA) World Conference on Anaerobic Digestion, Istanbul, Türkiye. (Accepted)
• Kutlar, F. E., Yilmazel Y. D. (2024). Methane and hydrogen production with bioelectrochemical anaerobic digestion using stainless steel mesh cathode, 18th International Water Association (IWA) World Conference on Anaerobic Digestion, Istanbul, Türkiye. (Accepted)
• A Ghaderikia, YD Yilmazel, Methane Recovery from Cattle Manure: Role of Granular Activated Carbon Amendment into Anaerobic Digestion-Microbial Electrolysis Cells (AD-MECs) Integrated Systems, ACS Sustainable Chemistry & Engineering 12 (4), 1437-1445 (Front cover)
• Usage of Electrodes Prepared by Electrostatic Flocculation Method for Hydrogen and Methane Production in Bioelectrochemical Processes Project, Research Universities Support Program, ADEP, March 2023.
• “LEAD - Leveraging Anaerobic Digestion through environmental stresses”, HORIZON-MSCA-2023-Doctoral Network (Under evaluation)
• “Life Cycle and Feasibility Assessment of Next-generation Biogas Production Technologies”, Brunel University London ortaklığında, British Council International Science Partnerships Fund Research (ISPF) Collaborations Grant, (Under evaluation)

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P11

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• 13 papers and 2 book chapters have been published by the METU Institute of Marine Sciences Aquatic Ecology Group (Korhan Özkan) and the METU Department of Biology Limnology Laboratory (Meryem Beklioğlu). (9 of them are in Q1 and Q2 journals).
• C-BLUES Project, Horizon 2020
• TRANSPONDER Project, Biodiversa
• Blue-Green Transformation, TÜBİTAK 1004 (In the application phase)