Personal profile
Research interests
Internet of Things, Communications, Protocols, Edge computing
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Dive into the research topics where Dimitrios Zormpas is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Next-Generation Gas Sensing Technology to Monitor VOCs and Harmful Gases for the Agro-Industrial Complexes
Soltabayev, B. (PI), Zormpas, D. (Co-PI) & Kurmanbayeva, A. (Co-PI)
1/1/25 → 12/31/27
Project: CRP
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Leveraging IoT Mesh Networks for Machine Learning Knowledge Transfer
Zormpas, D. (PI)
8/1/24 → 12/31/26
Project: Government
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Analysis and improvement proposal of Deeptrack LoRa/LoRaWAN network deployments
Zormpas, D. (PI)
4/20/24 → 10/2/24
Project: Other
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Development of a warning system for repair crews about the approach of a train
Zormpas, D. (PI)
1/1/22 → 12/31/24
Project: Industry
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DELITMENT: DEterministic Long-range IoT MEsh NeTworks
Zormpas, D. (PI)
1/1/22 → 12/31/24
Project: FDCRGP
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Performance Evaluation of LEO to HAP Communication under Wobbling, Pointing Error, and Hardware Impairments
Zikibayev, Y., Maham, B., Kizilirmak, R. C., Safi, H. & Zorbas, D., 2026, In: IEEE Open Journal of the Communications Society. 7, p. 1568-1585 18 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Applying reinforcement learning in slotted LoRaWAN: From concept to implementation
Zorbas, D., Kasenov, S., Salimzhanova, K., Gaziz, D., Ismailov, T. & Baimukhanov, B., Oct 1 2025, In: Computer Communications. 242, 108297.Research output: Contribution to journal › Article › peer-review
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Autonomous Machine Learning-Based Peer Reviewer Selection System
Aitymbetov, N. & Zorbas, D., 2025, System Demonstrations. Rambow, O., Wanner, L., Apidianaki, M., Al-Khalifa, H., Di Eugenio, B., Schockaert, S., Mather, B. & Dras, M. (eds.). Association for Computational Linguistics (ACL), p. 199-207 9 p. (Proceedings - International Conference on Computational Linguistics, COLING).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Concept Drift Mitigation on Resource-Constrained IoT Devices via Self-Learning
Kargar, A., Zorbas, D., Gaffney, M., O'Flynn, B. & Tedesco, S., 2025, In: IEEE Sensors Applications Symposium, SAS. 2025Research output: Contribution to journal › Conference article › peer-review
1 Link opens in a new tab Citation (Scopus) -
Cost-Effective Train Presence Detection and Alerting Using Resource-Constrained Devices
Zorbas, D., Baizhuminova, M., Urazayev, D., Eduard, A., Nurgazina, G., Atymtay, N. & Ristin, M., Oct 2025, In: Sensors. 25, 19, 6045.Research output: Contribution to journal › Article › peer-review
Open Access