Merge branch 'main' of https://github.com/nu-iot-lab/nu-iot-lab.github.io

Author: deltazita

docs/members.md

@@ -17,22 +17,14 @@ hide:
 
 ### MSc Students
 
-- Aida Eduard, CS[^1]
 - Damir Assylbek, CS[^1]
 - Ruana Saduakhas, CS[^1]
-- Aruzahn Sabyrbek, CS[^1]
-- Rakhat Khamitov, CS[^1]
 - Yerassyl Kadirzhanov, CS[^1]
 - Daniyar Kakimbekov, DS[^2]
 - Dina Almassova, CS[^1]
-- Batyrkhan Baimukhanov, CS[^1] (graduate)
 
 ### BSc Students
 
 
-## :material-account-search: Previous members
-
-[TODO]
-
 [^1]: Computer Science
 [^2]: Data Science

docs/projects.md

@@ -5,6 +5,7 @@ hide:
 
 # Projects
 
+- :octicons-package-dependents-24: [Next-Generation Gas Sensing Technology to Monitor VOCs and Harmful Gases for the Agro-Industrial Complexes](https://research.nu.edu.kz/en/projects/next-generation-gas-sensing-technology-to-monitor-vocs-and-harmfu)
 - :octicons-package-dependents-24: [DEterministic Long-range IoT MEsh NeTworks](https://research.nu.edu.kz/en/projects/deterministic-long-range-iot-mesh-networks)
 - :octicons-package-dependents-24: [Development of a warning system for repair crews about the approach of a train](https://research.nu.edu.kz/en/projects/development-of-a-warning-system-for-repair-crews-about-the-approa)
 - :octicons-package-dependents-24: [Analysis and improvement proposal of LoRa/LoRaWAN PV network deployments](https://research.nu.edu.kz/en/projects/analysis-and-improvement-proposal-of-deeptrack-loralorawan-networ)

publications.bib

@@ -1,26 +1,25 @@
-@inproceedings{aitymbetov-zorbas-2025-autonomous,
-    title = "Autonomous Machine Learning-Based Peer Reviewer Selection System",
-    author = "Aitymbetov, Nurmukhammed and Zorbas, Dimitrios",
-    booktitle = "Proceedings of the 31st International Conference on Computational Linguistics: System Demonstrations",
-    month = jan,
-    year = "2025",
-    address = "Abu Dhabi, UAE",
-    publisher = "Association for Computational Linguistics",
-    pages = "199--207",
+@article{ZORBAS2025101567,
+	title = {Gateway configuration in 2.4 GHz LoRa networks},
+	journal = {Internet of Things},
+	volume = {31},
+	pages = {101567},
+	year = {2025},
+	issn = {2542-6605},
+	doi = {https://doi.org/10.1016/j.iot.2025.101567},
+	url = {https://www.sciencedirect.com/science/article/pii/S2542660525000800},
+	author = {Dimitrios Zorbas and Luigi {Di Puglia Pugliese} and Ruana Saduakhas and Francesca Guerriero},
 }
 
 @article{ZORBAS2024107981,
-title = {Supporting critical downlink traffic in LoRaWAN},
-journal = {Computer Communications},
-volume = {228},
-pages = {107981},
-year = {2024},
-issn = {0140-3664},
-doi = {https://doi.org/10.1016/j.comcom.2024.107981},
-url = {https://www.sciencedirect.com/science/article/pii/S0140366424003281},
-author = {Dimitrios Zorbas and Aruzhan Sabyrbek},
-keywords = {Internet of Things, LoRa, LoRaWAN, Actuators, Downlink, Capacity, Fairness, Simulations},
-abstract = {LoRaWAN, a low-power wide-area network (LPWAN) technology, has been successfully used in the Internet of Things (IoT) industry over the last decade. It is an easy-to-use, long-distance communication protocol combined with minimal power consumption. Supporting critical downlink traffic in LoRaWAN networks is crucial for ensuring the reliable and efficient delivery of essential data in certain actuating applications. However, challenges arise when prioritizing critical downlink traffic, including commands, alerts, and emergency notifications that demand immediate attention from actuating devices. This paper explores strategies to improve downlink traffic delivery in LoRaWAN networks, focusing on enhancing reliability, fairness, and energy efficiency through prioritization techniques and network parameter configurations in the EU868 spectrum. Theoretical as well as simulation results provide insights into the effectiveness of the available solutions for supporting critical downlink traffic in LoRaWAN networks.}
+	title = {Supporting critical downlink traffic in LoRaWAN},
+	journal = {Computer Communications},
+	volume = {228},
+	pages = {107981},
+	year = {2024},
+	issn = {0140-3664},
+	doi = {https://doi.org/10.1016/j.comcom.2024.107981},
+	url = {https://www.sciencedirect.com/science/article/pii/S0140366424003281},
+	author = {Dimitrios Zorbas and Aruzhan Sabyrbek},
 }
 
 @INPROCEEDINGS{10646280,
@@ -132,4 +131,3 @@ @INPROCEEDINGS{10286942
   pages={1-4},
   keywords={Disaster management;User experience;Electronic messaging;Information and communication technology;Internet of Things;Reliability;Testing;Internet of Things;Text-messaging;LoRa;Connected Dominating Set},
   doi={10.1109/ICT-DM58371.2023.10286942}}
-