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Mennan Selimi
Faculty : Contemporary Sciences and Technologies
Position : Full Professor
Engagement type : Full time
Position : Full Professor
Engagement type : Full time
Personal data
E-mail : m.selimi@seeu.edu.mkAddress : https://mvdsi.seeu.edu.mk/mselimi/
Telephone : +38944356211
Languages ( Self-evaluated )
Albanian
Native
English
C2 - Proficient
Spanish / Castilian
B2 - Upper Intermediate
German
B1 - Intermediate
Italian
B1 - Intermediate
Publications
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Enhancing Adaptive Behavior in Federated Learning: The AdaptiveMesh Algorithm for Interactive Mobile and Bandwidth-Limited Resource-Constrained Wireless Environments.
In International Journal of Interactive Mobile Technologies (iJIM), pp. 24.
2025.
(Link)
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Transforming Campus-Based Climate Action Plan into Citywide Environmental Resilience: Initiatives for a Smart City in Tetovo, North Macedonia.
European Urban Research Association (EURA),
Bristol, UK,
2025.
(Link)
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A System for Monitoring and Querying LoRa Mesh Network Nodes.
IEEE,
Bologna, Italy,
2025.
(Link)
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AdaptiveMesh: Adaptive Federated Learning for Resource-Constrained Wireless Environments.
In International Journal of Online and Biomedical Engineering ( iJOE ), pp. 16.
2024.
(Link)
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BACA: Bandwidth and CPU-Aware Adaptive Federated Learning for Wireless Environments
.
IEEE,
Budva, Montenegro,
2024.
(Link)
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Exploring Local and Cloud-Based Training Use Cases for Embedded Machine Learning
.
IEEE,
Budva, Montenegro,
2024.
(Link)
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Edge Federated Learning over a LoRa Mesh Networks
.
IEEE/ACM,
Rome, Italy,
2024.
(Link)
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FederatedMesh: Collaborative Federated Learning for Medical Data Sharing in Mesh Networks.
Springer LNICST,
Corfu, Greece,
2024.
(Link)
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Wireless Community Networks: Deploying IoT Services with Micro-Clouds.
SEEU,
Tetovo,
2024.
(Link)
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Designing a Double LoRa Connectivity for the Arduino Portenta H7.
IEEE,
Chicago,
2022.
(Link)
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Server-side Adaptive Federated Learning over Wireless Mesh Network.
Springer,
Cusco, Peru,
2022.
(Link)
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Demo: An Experimental Environment Based On Mini-PCs For Federated Learning Research.
IEEE,
Las Vegas, USA,
2022.
(Link)
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Performance Evaluation of Federated Learning over Wireless Mesh Networks with Low-Capacity Devices.
Springer,
San Carlos, Costa Rica,
2022.
(Link)
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Poster: Testbed in Wireless City Mesh Network with Application to Federated Learning Experiments.
ACM,
St. Gallen, Switzerland,
2021.
(Link)
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A Two-stage Multi-Criteria Optimization Method for Service Placement in Decentralized Edge Micro-Clouds.
2021.
(Link)
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BePOCH: Improving Federated Learning Performance in Resource-Constrained Computing Devices
.
IEEE Globecom,
Madrid, Spain,
2021.
(Link)
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REDEMON: Resilient Decentralized Monitoring System for Edge Infrastructures.
IEEE/ACM CCGRID,
Melbourne, Australia.,
2020.
(Link)
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Contract Networking for Crowdsourced Connectivity.
IEEE DAPPS,
Oxford, UK,
2020.
(Link)
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Towards Information-Centric Edge Platform for Mesh Networks: The Case of CityLab Testbed.
IEEE ICFC,
Sydney, Australia,
2020.
(Link)
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A Simheuristic Algorithm for Service Placement in Community Networks.
IEEE,
Orlando, USA,
2020.
(Link)
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End User-Managed Service Deployments in Microclouds at the Network Edge.
IEEE,
Osaka, Japan,
2020.
(Link)
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LightKone Reference Architecture (LiRA).
H2020 LightKone,
Brussels,
2020.
(Link)
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PiCasso: Enabling Information-centric Multi-tenancy at the Edge of Community Mesh Networks.
2019.
(Link)
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DIMON: Distributed Monitoring System for Decentralized Edge Clouds in Guifi.net.
IEEE SOCA,
Taiwan,
2019.
(Link)
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MeshDapp: Blockchain-enabled Sustainable Business Models for Networks
.
Springer,
Leeds, UK.,
2019.
(Link)
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A Monitoring System for Distributed Edge Infrastructures with Decentralized Coordination.
Springer LNCS,
2019.
(Link)