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Assoc. Prof. Dr. Ömer Melih Gül is a faculty member in the Department of Electronics and Communication Engineering at Istanbul Technical University (ITU). He holds the title of Associate Professor in two fields - electrical, electronics and communication engineering, and computer science and engineering - and pursues interdisciplinary research.

His research spans communication and computer networks, artificial intelligence, optimization and decision-making, and 5G/6G communication systems and he leads projects in collaboration with industry.

He serves as an editor for leading international journals and holds global leadership roles within IEEE.

Biography

Ömer Melih Gül (S’17–M’21–SM’24) received his B.Sc. (2012), M.Sc. (2014), and Ph.D. (2020) degrees in Electrical and Electronics Engineering from Middle East Technical University (METU), Ankara, Türkiye, where he also worked as a research assistant. In 2022, he was a postdoctoral researcher at the School of Electrical Engineering and Computer Science, University of Ottawa, Canada. In 2023, he was an Assistant Professor in the Department of Computer Engineering at Bahçeşehir University, Istanbul, where he supervised four master’s theses and co-supervised one. From March 2024 to January 2026, he was an Associate Professor at the Informatics Institute of Istanbul Technical University (ITU), where he advised two Ph.D. and eight master’s students. Since January 2026, he has been an Associate Professor in the Department of Electronics and Communication Engineering, Faculty of Electrical and Electronics Engineering, ITU. He also serves as Coordinator of the Big Data Office at ITU’s Office of the Dean of Research.

His research interests include AI and machine learning applications, wireless network security, networking, planning, the Internet of Things (IoT), unmanned aerial vehicles (UAVs), robotics, and blockchain. He has co-authored more than 60 articles and 6 book chapters. His work has been recognized with third place in the IEEE Computer Society’s 2019 Lance Stafford Larson Outstanding Student Paper Award, third place in the poster competition of the 2021 IEEE Rising Stars Global Conference, the Best Paper Award at the 48th Wireless World Research Forum (WWRF) in 2022, and the Publication Award of the 2025 ITU Academic Performance Awards. He is an Associate Editor of IEEE Open Journal of the Computer Society, Sustainable Computing: Informatics and Systems (Elsevier), Scientific Reports (Springer Nature), Cluster Computing (Springer), Telecommunication Systems (Springer), and the International Journal of Interactive Multimedia and Artificial Intelligence. He served as General Chair of the EAI International Conference on Robotic Sensor Networks in two consecutive years (ROSENET 2023 and ROSENET 2024). He also co-chaired the CIEAI workshop at IEEE FMEC 2023 in Estonia and served as Publicity Chair of IEEE iThings 2024.

He began volunteering with IEEE as Chair of the IEEE Türkiye Young Professionals Affinity Group in 2020–2021. The group received the 2021 IEEE Region 8 (Europe, Middle East and Africa) Outstanding Young Professionals Affinity Group Award and an Honorable Mention for the 2022 IEEE Young Professionals Hall of Fame Award. He went on to serve the IEEE Computer Society as Vice Chair of the Student and Young Professionals Committee, Region 8 Coordinator, and Member-at-Large of the Member and Geographic Activities (MGA) Board. Since January 2024, he has been Vice Chair of the IEEE Computer Society Geographic Activities Committee. Individually, he received the 2022 IEEE MGA Young Professionals Achievement Award, as well as the IEEE Computer Society’s Outstanding Contribution Certificate (January 2022, for service in 2021) and Continuous Service Certificate (2024).

Publications

  1. A. Hamidoğlu, A. Elghirani, Ö. M. Gül, S. Kadry, “A Survey of Hybrid Energy-Aware and Decentralized Game-Theoretic Approaches in Intelligent Multi-Robot Task Allocation,” Computers, Materials & Continua, pp. 1–41, 2026 (early access), doi: 10.32604/cmc.2026.077060.
  2. B. Duran, Ö. M. Gül, S. N. Kadry, “Energy-Aware UAV Data Collection in Robotic Wireless Sensor Networks Under Imperfect Battery Predictions,” Telecommunication Systems (Springer), pp. 1–23, Mar. 2026.
  3. P. Khaleghi, D. Çakır, A. Hamidoğlu, Ö. M. Gül, S. Kadry, “Interpretable deep learning for depression detection in neurological patients using EEG signals,” MethodsX (Elsevier), vol. 15, Art. no. 103736, 2025.
  4. A. Hamidoğlu, Ö. M. Gül, S. N. Kadry, C. Jana, A. Elghirani, G. K. Gultekin, “A cost-effective Nash-based allocation method for task distribution of multiple robots in distributed robotic networks,” Engineering Applications of Artificial Intelligence (Elsevier/IFAC), vol. 162, Part C, Art. no. 112548, Dec. 2025.
  5. Ö. M. Gül, A. Hamidoğlu, M. K. Khan, S. Yu, “A Novel Game Theoretical Approach in Blockchain Aided Secure Communication at Internet of Drones,” IEEE Consumer Electronics Magazine, pp. 1–12, 2025.
  6. Ö. M. Gül, “Average Throughput Performance of Myopic Policy in Energy Harvesting Wireless Sensor Networks under Stochastic Data Arrival Processes,” Wireless Networks (Springer), Sep. 2025.
  7. A. Satouf, A. Hamidoğlu, Ö. M. Gül, A. Kuusik, A. Ghirani, S. Kadry, “A Survey on Task Scheduling in IoT-aided UAV with Edge Computing,” Telecommunication Systems (Springer), pp. 1–33, Sep. 2025.
  8. N. Diyabi, D. Çakır, Ö. M. Gül, T. Aytekin, S. Kadry, “Evaluating Customer Segmentation Techniques in the Retail Sector,” International Journal of Interactive Multimedia and Artificial Intelligence, vol. 9, no. 3, p. 175, Jun. 2025.
  9. A. Satouf, A. Hamidoğlu, Ö. M. Gül, A. Kuusik, L. Durak-Ata, S. N. Kadry, “Metaheuristic-based task scheduling for latency-sensitive IoT applications in edge computing,” Cluster Computing (Springer), vol. 28, Dec. 2024, doi: 10.1007/s10586-024-04878-6.
  10. C. Eris, Ö. M. Gül, P. Karagoz, “A Novel Reinforcement Learning based Routing Algorithm for Energy Management in Networks,” Journal of Industrial and Management Optimization (AIMS), pp. 1–19, Dec. 2024.
  11. A. Hamidoğlu, P. Khaleghi, Ö. M. Gül, “A Patient-Centered Equilibrium Strategy for Selecting Anti-Epileptic Drugs in Juvenile Myoclonic Epilepsy Management,” Journal of Industrial and Management Optimization (AIMS), pp. 1–21, Dec. 2024.
  12. F. Ergin, İ. B. Parlak, M. Adel, Ö. M. Gül, K. Karpouzis, “Noise Resilience in Dermoscopic Image Segmentation: Comparing Deep Learning Architectures for Enhanced Accuracy,” Electronics, vol. 13, no. 17, pp. 1–21, 2024.
  13. C. Eris, Ö. M. Gül, P. Sarisaray Boluk, “A Novel Medium Access Policy based on Reinforcement Learning in Energy-Harvesting Underwater Sensor Networks,” Sensors, vol. 25, no. 9, pp. 1–21, Sep. 2024.
  14. A. Hamidoğlu, Ö. M. Gül, S. N. Kadry, “A game-theoretical approach for the adoption of government-supported blockchain application in the IoT-enabled agricultural supply chain,” Internet of Things (Elsevier), vol. 26, Art. no. 101163, 2024.
  15. Ö. M. Gül, A. M. Erkmen, “Energy-Aware UAV-Driven Data Collection With Priority in Robotic Wireless Sensor Network,” IEEE Sensors Journal, vol. 23, no. 15, pp. 17667–17675, Aug. 2023, doi: 10.1109/JSEN.2023.3286877.
  16. Ö. M. Gül, M. Kulhandjian, B. Kantarci, A. Touazi, C. Ellement, C. D’Amours, “Secure Industrial IoT Systems via RF Fingerprinting under Impaired Channels with Interference and Noise,” IEEE Access, vol. 11, Mar. 2023.
  17. Ö. M. Gül, “Energy Harvesting and Task-aware Multi-Robot Task Allocation in Robotic Wireless Sensor Networks,” Sensors, vol. 23, no. 6, pp. 1–19, Mar. 2023.
  18. Ö. M. Gül, A. M. Erkmen, B. Kantarci, “UAV-Driven Sustainable and Quality-Aware Data Collection in Robotic Wireless Sensor Networks,” IEEE Internet of Things Journal, vol. 9, no. 24, pp. 25150–25164, Dec. 2022.
  19. Ö. M. Gül, “Heuristic Resource Reservation Policies for Public Clouds in the IoT Era,” Sensors, vol. 22, no. 23, pp. 1–19, Dec. 2022.
  20. Ö. M. Gül, B. Kantarci, “Near optimal scheduling for opportunistic spectrum access over block fading channels in cognitive radio assisted vehicular network,” Vehicular Communications, vol. 37, Art. no. 100500, Oct. 2022.
  21. Ö. M. Gül, A. M. Erkmen, “Energy-Efficient Cluster-Based Data Collection by a UAV with a Limited-Capacity Battery in Robotic Wireless Sensor Networks,” Sensors, vol. 20, no. 20, Sep. 2020.
  22. Ö. M. Gül, M. Demirekler, “Asymptotically Throughput Optimal Scheduling Policy for Energy Harvesting Wireless Sensor Networks,” IEEE Access, vol. 6, pp. 45004–45020, Sep. 2018.
  23. Ö. M. Gül, M. Demirekler, “Average Throughput Performance of Myopic Policy in Energy Harvesting Wireless Sensor Network,” Sensors, vol. 17, no. 10, Art. no. 2206, Sep. 2017.
  24. Ö. M. Gül, “Energy-Aware 3D Path Planning by Autonomous Ground Vehicle in Wireless Sensor Networks,” World Electric Vehicle Journal, vol. 15, no. 9, Art. no. 383, pp. 1–19, Sep. 2024. (Scopus Q2, ESCI/WoS Q2)
  25. J. Naeem, Ö. M. Gül, İ. B. Parlak, K. Karpouzis, Y. B. Salman, S. N. Kadry, “Detection of Misinformation Related to Pandemic Diseases using Machine Learning Techniques in Social Media Platforms,” EAI Endorsed Transactions on Pervasive Health and Technology, vol. 10, pp. 1–20, Jun. 2024. (Scopus Q2)
  26. Ö. M. Gül, A. M. Erkmen, B. Kantarci, “NTN-aided Quality and Energy-aware Data Collection in Time-critical Robotic Wireless Sensor Networks,” IEEE Internet of Things Magazine, vol. 7, no. 3, pp. 114–120, May 2024. (Scopus Q1)
  27. Ö. M. Gül, M. Kulhandjian, B. Kantarci, A. Touazi, C. Ellement, C. D’Amours, “On the Impact of CDL and TDL Augmentation for RF Fingerprinting under Impaired Channels,” Wireless World: Research and Trends, vol. 1, pp. 43–52. (48. WWRF’de En İyi Bildiri Ödülü alan çalışmanın davet üzerine genişletilmiş dergi sürümü)
  28. Z. Chen, Ö. M. Gül, B. Kantarci, “Practical Byzantine Fault Tolerance-based Robustness for Mobile Crowdsensing,” ACM Distributed Ledger Technologies: Research and Practice, vol. 2, no. 2, pp. 1–24, Jun. 2023.
  29. Ö. M. Gül, “Average Throughput of Myopic Policy for Opportunistic Access over Block Fading Channels,” IEEE Networking Letters, vol. 1, no. 1, pp. 38–41, Mar. 2019.
  1. B. Duran, G. Özdemir, Ö. M. Gül, M. A. Yazıcı, “Fuzzy Logic-Based Approach for Battery Constrained UAV Data Collection in Robotic Wireless Sensor Networks,” 2026 5th IEEE International Informatics and Software Engineering Conference (IISEC), Ankara, Türkiye, 2026, pp. 734–739, doi: 10.1109/IISEC69317.2026.11418429.
  2. Y. Yilmaz, B. Üstüner, Ö. M. Gül, H. A. Çırpan, A. Kuusik, “DYNACEEP: A Dynamic and Energy-Efficient Clustering Protocol for Wireless Sensor Networks with Mobile Base Station,” 16th IFIP Wireless and Mobile Networking Conference (IEEE/IFIP WMNC 2025), Leuven, Belgium, 27–28 Nov. 2025, pp. 1–5.
  3. Ö. M. Gül, “Near-Optimal Opportunistic Spectrum Access via Imperfect Channel Sensing in Cognitive Radio Enabled Vehicular Network,” 14th IFIP/IEEE International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks (IEEE/IFIP PEMWN 2025), Belgium, 25–27 Nov. 2025, pp. 1–6.
  4. S. Kadry, S. Yassine, H. Lin, V. Rajinikanth, Ö. M. Gül, “Pituitary Gland Segmentation from Pre-processed Brain MRI Slice with VGG-UNet,” in B. U. Töreyin, H. Köse, N. Aydın, S. N. Kadry, Ö. M. Gül (eds.), 8th EAI International Conference on Robotic Sensor Networks (ROSENET 2024), EAI/Springer Innovations in Communication and Computing, Springer, Cham, 2026.
  5. Ö. M. Gül, “Throughput of Myopic Policy in Energy Harvesting Sensor Network for Environmental Monitoring,” 2025 IEEE International Workshop on Metrology for Living Environment (IEEE MetroLivEnv 2025), Venice, Italy, 11–13 Jun. 2025, pp. 443–448.
  6. Ö. M. Gül, “UAV-Driven Robust and Energy-Aware Data Collection in Robotic Wireless Sensor Networks,” 15th IFIP Wireless and Mobile Networking Conference (IFIP WMNC 2024), Venice, Italy, 11–12 Nov. 2024, pp. 17–24.
  7. Ö. M. Gül, “Achieving Asymptotically Optimal Throughput and Fairness for Energy Harvesting Sensors in IoT Network Systems,” 2024 IEEE International Conferences on Internet of Things (iThings), Green Computing & Communications (GreenCom), Cyber, Physical & Social Computing (CPSCom), Smart Data (SmartData) and IEEE Congress on Cybermatics, Copenhagen, Denmark, 2024, pp. 353–360, doi: 10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics62450.2024.00075.
  8. J. Naeem, Ö. M. Gül, İ. B. Parlak, K. Karpouzis, S. N. Kadry, Y. B. Salman, “Detection of Misinformation Related to Pandemic Diseases using Machine Learning,” 7th EAI International Conference on Robotic Sensor Networks (EAI ROSENET 2023), İstanbul, Türkiye, 15–16 Dec. 2023, pp. 147–159.
  9. A. Hamidoğlu, Ö. M. Gül, G. K. Gultekin, S. N. Kadry, “A Novel Nash-based Matching Approach for Multi-Robot Task Allocation in Distributed Robotic Networks,” 7th EAI International Conference on Robotic Sensor Networks (EAI ROSENET 2023), İstanbul, Türkiye, 15–16 Dec. 2023, pp. 3–15.
  10. A. Satouf, A. Hamidoğlu, Ö. M. Gül, A. Kuusik, “Grey Wolf Optimizer-based Task Scheduling for IoT-based Applications in the Edge Computing,” International Workshop on Cellular and Industrial Edge AI (CIEAI 2023), jointly with the 8th IEEE International Conference on Fog and Mobile Edge Computing (FMEC 2023), Estonia, 18–20 Sep. 2023, pp. 1–6.
  11. C. Eris, Ö. M. Gül, P. Karagoz, “An energy-harvesting aware cluster head selection policy in underwater acoustic sensor networks,” 6th International Balkan Conference on Communications and Networking (BalkanCom 2023), İstanbul, Türkiye, 5–8 Jun. 2023, pp. 1–5.
  12. Ö. M. Gül, M. Kulhandjian, B. Kantarci, A. Touazi, C. Ellement, C. D’Amours, “On the Impact of CDL and TDL Augmentation for RF Fingerprinting under Impaired Channels,” 48th Wireless World Research Forum (WWRF 2022), UAE, 7–9 Nov. 2022, pp. 1–6. (En İyi Bildiri Ödülü)
  13. Ö. M. Gül, M. Kulhandjian, B. Kantarci, A. Touazi, C. Ellement, C. D’Amours, “Fine-Grained Augmentation Approach for RF Fingerprinting under Impaired Channels,” IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (IEEE CAMAD 2022), France, 2–4 Nov. 2022, pp. 1–6.
  14. C. Comert, M. Kulhandjian, Ö. M. Gül, A. Touazi, C. Ellement, B. Kantarci, C. D’Amours, “Analysis of Augmentation Methods for RF Fingerprinting under Impaired Channels,” Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning (ACM WiSeML 2022), TX, USA, 19 May 2022, pp. 3–8.
  15. Ö. M. Gül, “Near-Optimal Opportunistic Spectrum Access in Cognitive Radio Networks in IoT Era,” IEEE Conference on Local Computer Networks (IEEE LCN 2021), Edmonton, Canada, 2021, pp. 1–4.
  16. Ö. M. Gül, “Near-Optimal Data Communication Between Unmanned Aerial and Ground Vehicles,” 20th International Conference on Intelligent Systems Design and Applications (ISDA 2020), online, 12–15 Dec. 2020, pp. 1336–1347.
  17. Ö. M. Gül, “Achieving Near-Optimal Fairness in Energy Harvesting Wireless Sensor Networks,” 24th IEEE International Symposium on Computers and Communications (IEEE ISCC 2019), Barcelona, Spain, 29 Jun.–3 Jul. 2019, pp. 1–6.
  18. Ö. M. Gül, “Asymptotically Optimal Scheduling for Energy Harvesting Wireless Sensor Networks,” 28th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC 2017), Montreal, QC, Canada, 8–13 Oct. 2017, pp. 1–7.
  19. Ö. M. Gül, E. Uysal-Biyikoglu, “Achieving Nearly 100% Throughput without Feedback in Energy Harvesting Wireless Networks,” IEEE International Symposium on Information Theory (IEEE ISIT 2014), Honolulu, HI, USA, 29 Jun.–4 Jul. 2014, pp. 1171–1175.
  20. Ö. M. Gül, E. Uysal-Biyikoglu, “A Randomized Scheduling Algorithm for Energy Harvesting Wireless Sensor Networks Achieving Nearly 100% Throughput,” IEEE Wireless Communications and Networking Conference (IEEE WCNC 2014), İstanbul, Türkiye, 6–9 Apr. 2014, pp. 2456–2461.
  1. S. Geetha, S. Raghavan, K. P. Behara, A. Sharma, S. Kadry, Ö. M. Gül, “Fundamentals of deep learning in neuroinformatics,” in Deep Learning Applications in Neuroinformatics, 1st ed., Academic Press (Elsevier), Mar. 2026, pp. 1–19.
  2. P. Mathivanan, K. Mahalakshmi, D. Mohanapriya, Ö. M. Gül, “AI Based Biometric Systems in Financial Transactions: Case Study,” in AI Based Advancements in Biometrics and its Applications, CRC Press, Nov. 2024, 23 pp.
  3. J. Naeem, Ö. M. Gül, “Using Deep/Machine Learning to Identify Patterns and Detecting Misinformation for Pandemics in the Post-Covid-19 Era,” in Machine Learning in Medical Imaging and Computer Vision, IET, Jan. 2024.
  4. İ. B. Parlak, H. B. Usluer, Ö. M. Gül, “Computer-Aided Diagnosis in Maritime Healthcare: Review of Spinal Hernia,” in Machine Learning in Medical Imaging and Computer Vision, IET, Jan. 2024.
  5. C. Comert, Ö. M. Gül, M. Kulhandjian, A. Touazi, C. Ellement, B. Kantarci, C. D’Amours, “Secure Design of Cyber-Physical Systems at the Radio Frequency Level: Machine and Deep Learning-Driven Approaches, Challenges and Opportunities,” in I. Traore, I. Woungang, S. Saad (eds.), Artificial Intelligence for Cyber-Physical Systems Hardening, Engineering Cyber-Physical Systems and Critical Infrastructures, vol. 2, Springer, Cham, 2023.
  6. Ö. M. Gül, “Blockchain-enabled Internet of Things (IoTs) platforms for vehicle sensing and transportation monitoring,” in Machine Learning, Blockchain Technologies and Big Data Analytics for IoTs: Methods, Technologies and Applications, IET, 2022, ch. 16, pp. 351–373, doi: 10.1049/PBSE016E_ch16. ISBN: 9781839533396; e-ISBN: 9781839533402.

Awards

  1. 2025 — Publication Award, ITU Academic Performance Awards: Faculty member with the most academic publications at the ITU Informatics Institute in calendar year 2024 (4 Scopus Q1 and 3 Scopus Q2 papers with ITU affiliation).
  2. 2022 — Best Paper Award, 48th Wireless World Research Forum (WWRF): for the paper “On the Impact of CDL and TDL Augmentation for RF Fingerprinting under Impaired Channels.”
  3. 2021 — Third Prize, Poster Competition, IEEE Rising Stars Global Conference: for the work “Efficiency-Aware and Energy-Aware Data Collection via UAV with Limited-Capacity Battery in Robotic Wireless Sensor Networks in Post Covid-19 Era.”
  4. 2020 — Third Prize, IEEE Computer Society Lance Stafford Larson Outstanding Student Paper Award: in the IEEE Computer Society’s best student paper competition, held since 1983 (2019 edition), for the journal article “Asymptotically Throughput Optimal Scheduling Policy for Energy Harvesting Wireless Sensor Networks.”
  1. 2024 — Continuous Service Certificate (IEEE Computer Society): presented in April 2024 for outstanding service to the IEEE Computer Society as a student and young professional leader and regional coordinator. He is the youngest recipient of this certificate.
  2. 2022 — MGA Young Professionals Achievement Award (IEEE Member and Geographic Activities Board): the IEEE MGA Board’s most prestigious individual award for young professionals, presented annually to six young professionals worldwide for their global-scale events and leadership.
  3. 2022 — IEEE Young Professionals Hall of Fame Award, Honorable Mention: for the IEEE Türkiye Young Professionals Affinity Group (which he chaired in 2020–2021).
  4. 2022 — Outstanding Contribution Certificate (IEEE Computer Society): presented in January 2022 for outstanding service in 2021 as Vice Chair of the IEEE Computer Society Student and Young Professionals (SYP) Committee and, concurrently, as the Society’s Region 8 (Europe, Middle East and Africa) Coordinator.
  5. 2021 — IEEE Region 8 Outstanding Young Professionals Affinity Group Award: for the IEEE Türkiye Young Professionals Affinity Group (which he chaired in 2020–2021).

Projects

  1. Researcher — TÜBİTAK 1515 Frontier R&D Laboratories Support Program, “XGeNTT – Türk Telekom neXt Generation Technologies Lab” (host organization: Türk Telekomünikasyon A.Ş.). March 2026 – present.
  2. Principal Investigator (application) — TÜBİTAK 1001 Scientific and Technological Research Projects Funding Program, 2026 first call: “Energy- and Delay-Aware, AI-Assisted, SDN-Based Disaster Management System with UAV-Assisted Robotic and Wireless Sensor Networks.” Application submitted.
  3. Principal Investigator — ITU Scientific Research Projects (BAP) Rapid Support Project (HIZDEP): “Robust and Energy-Efficient UAV-Assisted Data Collection in Robotic and Wireless Sensor Networks” (project ID 46396, code FHD-2024-46396). 24 Oct 2024 – 18 Dec 2024, completed.
  4. Principal Investigator — ITU Scientific Research Projects (BAP) Research Initiation Project (ABP): “Throughput-Enhancing Fair Scheduling in Energy Harvesting Wireless Sensor Networks” (project ID 45724, code MAB-2024-45724). 12 Jun 2024 – 12 Jul 2025, completed.
  5. Postdoctoral Researcher — Mitacs Accelerate: “Machine Learning-Enhanced Anomaly Detection and Performance Optimization for Enterprise WiFi Networks.” 1 Jan 2022 – 31 Dec 2022, completed.
  6. Postdoctoral Researcher — Natural Sciences and Engineering Research Council of Canada (NSERC) and Ontario Centre for Innovation (OCI) joint VIP-Alliance Program: “Security by Design via Radio Fingerprinting for Autonomous Vehicle (AV) Network.” 1 Jan 2022 – 22 Dec 2022, completed.

Academic Services

Associate Editor:

  1. IEEE Open Journal of the Computer Society (May 2025 – present)
  2. Scientific Reports, Springer Nature (July 2025 – present)
  3. Sustainable Computing: Informatics and Systems, Elsevier (October 2024 – present)
  4. International Journal of Interactive Multimedia and Artificial Intelligence (May 2024 – present)
  5. Cluster Computing, Springer (April 2024 – present)
  6. Telecommunication Systems, Springer (April 2023 – present)
  7. Wireless Networks, Springer (July 2023 – October 2025)

Guest Editor:

  1. Turkish Journal of Maritime and Marine Sciences — special issue “Maritime and Underwater Communication Systems” (October 2024)
  2. EMO Bilimsel Dergi (Scientific Journal of the Chamber of Electrical Engineers of Türkiye) — special issue “Robotics and Communication Networks in Smart Agriculture” (October 2023)
  1. General Chair — 8th EAI/Springer International Conference on Robotic Sensor Networks (EAI ROSENET 2024), Istanbul Technical University, 19–20 December 2024.
  2. Organizing Committee Member (Publicity Chair) — 2024 IEEE International Conference on Internet of Things (iThings 2024).
  3. General Chair — 7th EAI/Springer International Conference on Robotic Sensor Networks (EAI ROSENET 2023), Bahçeşehir University, 15–16 December 2023.
  4. Organizing Committee Member (Co-Chair) — International Workshop on Cellular and Industrial Edge AI (CIEAI 2023), held with the 8th IEEE International Conference on Fog and Mobile Edge Computing (FMEC 2023), Estonia

Contact

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