=Paper=
{{Paper
|id=Vol-3943/preface
|storemode=property
|title=Preface
|pdfUrl=https://ceur-ws.org/Vol-3943/preface.pdf
|volume=Vol-3943
|authors=Tetiana A. Vakaliuk,Serhiy O. Semerikov
|dblpUrl=https://dblp.org/rec/conf/doors/X25
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==Preface==
https://ceur-ws.org/Vol-3943/preface.pdf
Tetiana A. Vakaliuk et al. CEUR Workshop Proceedings 1–3
Preface
Tetiana A. Vakaliuk1,2,3,4 , Serhiy O. Semerikov3,2,1,5,4
1
Zhytomyr Polytechnic State University, 103 Chudnivsyka Str., Zhytomyr, 10005, Ukraine
2
Institute for Digitalisation of Education of the NAES of Ukraine, 9 M. Berlynskoho Str., Kyiv, 04060, Ukraine
3
Kryvyi Rih State Pedagogical University, 54 Universytetskyi Ave., Kryvyi Rih, 50086, Ukraine
4
Academy of Cognitive and Natural Sciences, 54 Gagarin Ave., Kryvyi Rih, 50086, Ukraine
5
Kryvyi Rih National University, 11 Vitalii Matusevych Str., Kryvyi Rih, 50027, Ukraine
Abstract
The 5th Edge Computing Workshop (doors 2025) is a peer-reviewed international edge computing event organized
by Zhytomyr Polytechnic State University and the Academy of Cognitive and Natural Sciences. This workshop
brings together researchers, academics, and industry practitioners to explore advancements in edge computing.
In this distributed computing paradigm, computation and data storage are performed closer to the location where
they are needed. The 2025 edition covers a diverse range of topics, including environmental monitoring systems,
quality assurance for edge systems, integration of IoT with edge devices, advanced AI techniques, signal and
image processing challenges, and messaging protocols for IoT systems. The workshop emphasizes theoretical
research and practical implementations to identify emerging trends and innovative solutions in edge computing,
which is increasingly vital due to the rise of the Internet of Things (IoT) and its demands for low latency, enhanced
privacy, and real-time responsiveness.
Keywords
edge computing, Internet of Things (IoT), distributed computing, signal processing, MQTT messaging, Real-time
applications
1. Introduction
The 5th Edge Computing Workshop (doors 2025) is a peer-reviewed international event focused on the
rapidly evolving field of edge computing, organized by Zhytomyr Polytechnic State University and the
Academy of Cognitive and Natural Sciences.
The Edge Computing Workshop (doors) is designed to bring together researchers, academics, and
industry practitioners to explore advancements and applications in edge computing. Edge computing
refers to a distributed computing paradigm where computation and data storage are performed closer
to the location where they are needed—such as mobile devices, sensors, and end-users—rather than
relying solely on centralized cloud systems. This approach is increasingly vital due to the rise of the
Internet of Things (IoT), which demands low latency, enhanced privacy, and real-time responsiveness.
The 2025 edition marks the fifth iteration of this workshop, building on previous years (e.g., doors
2024, 2023, etc.), and continues to foster discussions on the challenges and opportunities in this domain.
It emphasizes theoretical research and practical implementations to identify emerging trends and
innovative solutions.
The workshop is particularly relevant in today’s digital landscape, where responsiveness, privacy,
and situational awareness push computational capabilities to the "edge" of networks. It seeks to bridge
the gap between central cloud systems and localized processing, encouraging innovative solutions to
real-world problems.
doors-2025: 5th Edge Computing Workshop, April 4, 2025, Zhytomyr, Ukraine
" tetianavakaliuk@acnsci.org (T. A. Vakaliuk); semerikov@gmail.com (S. O. Semerikov)
~ http://acnsci.org/vakaliuk/ (T. A. Vakaliuk); https://acnsci.org/semerikov (S. O. Semerikov)
0000-0001-6825-4697 (T. A. Vakaliuk); 0000-0003-0789-0272 (S. O. Semerikov)
© 2025 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
CEUR
ceur-ws.org
Workshop ISSN 1613-0073
Proceedings
1
Tetiana A. Vakaliuk et al. CEUR Workshop Proceedings 1–3
2. doors 2025 committees
2.1. Program committee co-chairs
• Tetiana A. Vakaliuk, Zhytomyr State Polytechnic University, Ukraine
• Serhiy O. Semerikov, Kryvyi Rih State Pedagogical University, Ukraine
2.2. Program committee
• Ken Birman, Cornell University, USA
• Aleksandr Cariow, West Pomeranian University of Technology, Poland
• Nagender Kumar Suryadevara, University of Hyderabad, India
• BongKyo Moon, Dongguk University, South Korea
• Michael J. O’Grady, University College Dublin, Ireland
• Xianzhi Wang, University of Technology Sydney, Australia
• Alejandro Zunino, ISISTAN Research Institute, UNCPBA & CONICET, Argentina
2.3. Additional reviewers
• Olexander Barmak, Khmelnytskyi National University, Ukraine
• Balaji Shesharao Ingole, IEEE, USA
• Valerii Kontsedailo, Inner Circle, Netherlands
• Vyacheslav Kryzhanivskyy, R&D Seco Tools AB, Sweden
• Nadiia Lobanchykova, Zhytomyr Polytechnic State University, Ukraine
• Mykhailo Medvediev, ADA University, Azerbaijan
• Franco Milano, University of Florence, Italy
• Etibar Seyidzade, Baku Engineering University, Azerbaijan
2.4. Organizing committee
• Tetiana Nikitchuk, Zhytomyr Polytechnic State University, Ukraine
• Andrii Morozov, Zhytomyr Polytechnic State University, Ukraine
• Serhiy Semerikov, Kryvyi Rih State Pedagogical University, Ukraine
• Andrii Striuk, Kryvyi Rih National University, Ukraine
• Tetiana Vakaliuk, Zhytomyr Polytechnic State University, Ukraine
3. Workshop overview
Several presentations focused on systems for monitoring environmental conditions, particularly for
climate and plant monitoring [1] and using regression analysis to identify patterns in atmospheric
data [2]. These systems leverage IoT and edge computing to collect and analyze environmental data in
real-time.
Edge computing was a central focus, with presentations on quality assurance for edge systems [3],
implementing knowledge distillation for medical imaging at the edge [4], and exploring the potential
of Large Language Models on edge devices [5]. The integration of IoT with edge devices for various
applications, including sports motion mechanization [6], was also discussed.
Advanced AI techniques featured prominently, including:
• Graph convolutional networks for traffic flow prediction [7];
• Multi-teacher knowledge distillation for cardiac MRI classification [4];
• Improved algorithms for UAV path planning [8];
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Tetiana A. Vakaliuk et al. CEUR Workshop Proceedings 1–3
• Feature fusion and attention enhancement for vehicle detection [9];
• Object detection models for remote sensing images [10];
• Speech enhancement using Bayesian estimators [11].
Several presentations addressed challenges in signal and image processing, including image denoising
methods for dealing with shot noise and compound Poisson noise [12] and improved models for
detecting randomly oriented objects in remote sensing images [10].
The workshop also covered messaging protocols for IoT systems, with an evaluation of TBMQ for
peer-to-peer MQTT messaging [13], addressing the need for scalable and reliable communication in
distributed IoT environments.
The event encourages interdisciplinary dialogue, reflecting the multifaceted nature of edge computing,
which intersects with computer science and engineering.
4. Conclusion
This workshop appears to have brought together researchers and practitioners working at the intersec-
tion of edge computing, IoT, environmental monitoring, and AI-powered analysis. Particular attention
was paid to real-time applications and systems that can operate efficiently at the edge rather than
requiring cloud infrastructure.
Declaration on Generative AI: The authors have not employed any generative AI tools.
References
[1] N. S. Prasol, D. V. Furikhata, T. A. Vakaliuk, T. Y. Regenel, Integration of edge devices and IoT to
create a climate monitoring system for plants, CEUR Workshop Proceedings (2025) 4–19.
[2] D. V. Shevchenko, B. L. Holub, Regression analysis as a tool for identifying patterns in atmospheric
air monitoring data, CEUR Workshop Proceedings (2025) 20–27.
[3] V. O. Maliarskyi, V. P. Oleksiuk, Review of modern tools for edge computing systems quality
assurance, CEUR Workshop Proceedings (2025) 67–80.
[4] O. Chaban, E. Manziuk, O. Markevych, S. Petrovskyi, P. Radiuk, EMTKD at the edge: An adaptive
multi-teacher knowledge distillation for robust cardiac MRI classification, CEUR Workshop
Proceedings (2025) 42–57.
[5] S. O. Semerikov, T. A. Vakaliuk, O. B. Kanevska, M. V. Moiseienko, I. I. Donchev, A. O. Kolhatin,
LLM on the edge: the new frontier, CEUR Workshop Proceedings (2025) 137–161.
[6] V. V. Romanuke, S. Y. Dementiev, S. A. Yaremko, An IoT-based system of mechanizing sport
competition motion for perception improvement, CEUR Workshop Proceedings (2025) 81–96.
[7] Y. Song, S. Wei, D. Liu, GADGN: A dual graph convolutional architecture for traffic flow prediction,
CEUR Workshop Proceedings (2025) 28–41.
[8] Z. Li, X. Zong, J. Hao, O. Kochan, Multi-UAV 3D path planning based on improved sparrow search
algorithm, CEUR Workshop Proceedings (2025) 97–108.
[9] M. Xue, Studying the efficiency and performance of the vehicle detection method based on feature
fusion and attention enhancement, CEUR Workshop Proceedings (2025) 162–177.
[10] I. A. Pilkevych, M. P. Romanchuk, O. M. Naumchak, D. L. Fedorchuk, L. M. Naumchak, Improved
model for detecting randomly oriented objects on remote sensing images, CEUR Workshop
Proceedings (2025) 118–126.
[11] Q. T. The, Bayesian estimators-based microphone array speech enhancement in adverse environ-
ment, CEUR Workshop Proceedings (2025) 127–136.
[12] O. Kobylin, O. Putiatina, Some aspects of real-time image denoising influenced by shot noise and
compound Poisson noise, CEUR Workshop Proceedings (2025) 109–117.
[13] D. I. Shvaika, A. I. Shvaika, D. I. Landiak, V. O. Artemchuk, Scalable and reliable MQTT messaging:
evaluating TBMQ for P2P scenarios, CEUR Workshop Proceedings (2025) 58–66.
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