Serhii Dolhopolov - Ph.D. Student

About Me

I am a Ph.D. student and Assistant Lecturer at Kyiv National University of Construction and Architecture, specializing in Artificial Intelligence and Machine Learning. My doctoral research, conducted under the supervision of Dr. Tetiana Honcharenko, focuses on «Information Technology for Modular Adaptive Generation of Program Code Based on Deep Learning Methods», where I am developing novel algorithms and frameworks to automate and optimize software development processes through AI techniques.

My work combines theoretical advancements in neural network architectures with practical applications in the fields of construction, urban planning, and information technology. I am currently leading a state-funded research project on multimodal content analysis for territorial revitalization, exploring how AI can contribute to sustainable urban development. My research aims to address complex challenges such as improving software development efficiency through intelligent code generation and enhancing decision-making processes in smart city initiatives through advanced data analytics.

I am passionate about bridging the gap between cutting-edge AI research and practical industrial applications, particularly in construction and urban technologies. Through my teaching and research, I strive to foster interdisciplinary collaboration and mentor the next generation of AI specialists who will shape the technological landscape of tomorrow.

Outside of academia, I enjoy exploring UI/UX design and creating pixel art.

My Dribbble Shots

View my profile on Dribbble
In my downtime, you'll likely find me watching thrillers and horror films—a perfect balance to the analytical nature of my research work.

Research Interests

Core Area 1: Artificial Intelligence & Machine Learning — Developing novel neural network architectures with emphasis on deep learning techniques for computer vision and pattern recognition. Exploring reinforcement learning approaches for adaptive systems and investigating probabilistic models for uncertainty quantification in AI applications. Current work focuses on modular code generation through deep learning methods.
Core Area 2: Natural Language Processing — Advancing semantic understanding techniques for multilingual contexts, with particular interest in transfer learning for low-resource languages. Researching neural machine translation models that preserve cultural context, and building more natural dialogue systems capable of maintaining conversational coherence across complex interactions.
Application Domain 1: Data Science & Big Data Analytics — Applying machine learning techniques to large-scale datasets in urban environments and construction. Developing methodologies for multimodal content analysis and classification in smart city applications. Creating novel approaches for extracting actionable insights from heterogeneous data sources in real-time decision support systems.
Interdisciplinary Area 1: Computational Social Science — Investigating the application of AI methods to understand and model human behavior in digital ecosystems. Developing frameworks for analyzing social network dynamics and information flow through computational models. Particular focus on territorial revitalization projects and their social impact through automated sentiment analysis.
Emerging Area 1: Explainable AI (XAI) & AI Ethics — Researching techniques to make neural network decision processes more transparent and interpretable. Developing frameworks to evaluate algorithmic fairness and mitigate bias in AI systems. Investigating the societal implications of AI deployment in critical domains such as urban planning and construction automation.

Selected Publications

An Advanced Ensemble Machine Learning Framework for Estimating Long-Term Average Discharge at Hydrological Stations Using Global Metadata

Neftissov, A., Biloshchytskyi, A., Kazambayev, I., Dolhopolov, S., & Honcharenko, T.

Water, 17(14), 2025.

[DOI] [PDF] Selected Paper Q1, IF 3.0, CS 6.0

Methods of image pre-processing for automated object recognition systems

Dolhopolov, S., Kruk, P., Zhuk, R., & Honcharenko, T.

Management of Development of Complex Systems, No. 62, 2025.

[DOI][PDF]

Optimizing construction site management through YOLOv5-based object detection: A comprehensive analysis of resource utilization and safety enhancement

Dolhopolov, S., Honcharenko, T., Achkasov, I., Hots, V.

International Conference on Digital Technologies in Education, Science and Industry, DTESI 2024, 2024.

[PDF]

Advancing automated quality control in automotive manufacturing: A comparative analysis of YOLOv8, YOLOv9, and YOLOv10 for vehicle damage detection

Dolhopolov, S., Honcharenko, T., Chernyshev, D., Panina, O., Makhynia, A.

9th International Conference on Digital Technologies in Education, Science and Industry, DTESI 2024, 2024.

[PDF]

NeuroPhysNet: A Novel Hybrid Neural Network Model for Enhanced Prediction and Control of Cyber-Physical Systems

Dolhopolov, S., Honcharenko, T., Chernyshev, D.

Mathematical Modeling and Simulation of Systems. MODS 2024. Lecture Notes in Networks and Systems, vol 1391. Springer, Cham, 2025.

[DOI] Selected Paper

YOLOv5-based Object Detection for Construction Site Efficiency: Equipment, Tool, and Vehicle Recognition

Dolhopolov, S., Honcharenko, T., Chernyshev, D., Solovei, O.

4th International Workshop on Information Technologies: Theoretical and Applied Problems, ITTAP 2024, 2024.

[PDF]

YOLOv8, YOLOv9, and YOLOv10: A Study in Automated Vehicle Damage Detection

Dolhopolov, S., Honcharenko, T., Hots, V., Kruk, P., Porokhovnichenko, I.

4th International Workshop on Information Technologies: Theoretical and Applied Problems, ITTAP 2024, 2024.

[PDF]

Neural Network Threat Detection Systems for Data Breach Protection

Dolhopolov, S., Honcharenko, T., Fedusenko, O., Khrolenko, V., Hots, V., Golenkov, V.

SIST 2024 - 2024 IEEE 4th International Conference on Smart Information Systems and Technologies, Proceedings, 2024.

[DOI]

Enhancing Urban Planning with LoRa and GANs: A Project Management Perspective

Dolhopolov, S., Honcharenko, T., Sachenko, I., Gergi, D.

5th International Workshop IT Project Management, ITPM 2024, 2024.

[PDF] [DOI]

Strategizing VR Integration in Business and Education: Extending the Technology Acceptance Model through Project Management Perspectives

Tao, L., Dolhopolov, S., Honcharenko, T.

5th International Workshop IT Project Management, ITPM 2024, 2024.

[PDF] [DOI]

Multi-Stage Classification of Construction Site Modeling Objects Using Artificial Intelligence Based on BIM Technology

Dolhopolov, S., Honcharenko, T., Terentyev, O., Savenko, V., Rosynskyi, A., Bodnar, N., Alzidi, E.

35th Conference of Open Innovations Association FRUCT, FRUCT 2024, 2024.

[PDF] [DOI]

Information system of multi-stage analysis of the building of object models on a construction site

Dolhopolov, S., Honcharenko, T., Terentyev, O., Predun, K., Rosynskyi, A.

IOP Conference Series: Earth and Environmental Science, 4th International Conference on Sustainable Futures: Environmental, Technological, Social and Economic Matters, ICSF 2023, 2023.

[PDF] [DOI]

Construction Site Modeling Objects Using Artificial Intelligence and BIM Technology: A Multi-Stage Approach

Dolhopolov, S., Honcharenko, T., Savenko, V., Balina, O. Bezklubenko, I., Liashchenko, T.

SIST 2023 - 2023 IEEE International Conference on Smart Information Systems and Technologies, Proceedings, 2023.

[DOI]

Integration of Building Information Modeling and Artificial Intelligence Systems to Create a Digital Twin of the Construction Site

Chernyshev, D., Dolhopolov, S., Honcharenko, T., Haman, H., Ivanova, T., Zinchenko, M.

International Scientific and Technical Conference on Computer Sciences and Information Technologies, 2022.

[DOI]

Digital Object Detection of Construction Site Based on Building Information Modeling and Artificial Intelligence Systems

Chernyshev, D., Dolhopolov, S., Honcharenko, T., Sapaiev, V., Delembovskyi, M.

2nd International Workshop on Information Technologies: Theoretical and Applied Problems, ITTAP 2022, 2022.

[PDF]

Use of Artificial Intelligence Systems for Determining the Career Guidance of Future University Student

Dolhopolov, S., Honcharenko, T., Dolhopolova, S.A., Riabchun, O., Delembovskyi, M., Omelianenko, O.

SIST 2022 - 2022 International Conference on Smart Information Systems and Technologies, Proceedings, 2022.

[DOI]

For a complete list of publications, please visit my Google Scholar profile or DBLP page.

Work Experience

Junior Researcher

Research Department of the Kyiv National University of Construction and Architecture, Kyiv, Ukraine

03/2025 - Present

Leading a state-funded research project «Methodology for Determining the Tonality and Classification of Multimodal Content in Territorial Revitalization Projects Based on Neural Network Methods». Developing innovative AI approaches for analyzing complex multimodal data in urban development contexts.

Assistant Lecturer

IT Department of the Kyiv National University of Construction and Architecture, Kyiv, Ukraine

09/2023 - Present

Teaching multiple courses in artificial intelligence, neural networks, and programming at the university level. Developing and delivering curriculum for courses including Artificial Intelligence and Neural Networks, Python Programming, Artificial Intelligence and Hybrid Networks, and Object-Oriented Programming. Preparing educational materials and conducting practical laboratory sessions with students.

Educational Program Accreditation Expert

National Agency for Higher Education Quality Assurance, Kyiv, Ukraine

05/2023 - Present

Evaluating higher education programs against national quality standards. Participating in accreditation site visits and reviews, analyzing curriculum content, teaching methodologies, and educational outcomes. Contributing to quality assurance processes that enhance the standards of higher education across Ukrainian universities.

Education

Ph.D. in Computer Science

Kyiv National University of Construction and Architecture, Kyiv, Ukraine

2024 - Present

Scientific Advisor: Dr. Tetyana Honcharenko

M.Sc. in Cyber Security

Kyiv National University of Construction and Architecture, Kyiv, Ukraine

2022 - 2023

Diploma with honours

GPA 97.43/100

Scientific Advisor: Dr. Svitlana Kondakova

B.Sc. in Vocational Education (Computer technologies)

Kyiv National University of Construction and Architecture, Kyiv, Ukraine

2018 - 2022

Diploma with honours

GPA 100/100

Comprehensive State Exam: 100/100

Research Projects

Methodology for Determining the Tonality and Classification of Multimodal Content in Territorial Revitalization Projects Based on Neural Network Methods

Project Leader: Dr. Honcharenko T.

Project Team: Dr. Honcharenko T., Dolhopolov S., Dr. Poplavskyi O., Dr. Molodid O., Delembovskyi M., Riabchun Y.

Funding: 2 929 695 UAH (~ 70 650 USD), State Budget of Ukraine

Registration Number: 0125U001683

Period: 2025-2027

Status: Approved for funding by the Ministry of Education and Science of Ukraine

This research project focuses on developing innovative methodologies for analyzing and classifying multimodal content in territorial revitalization projects using neural network methods. The project applies artificial intelligence techniques to process various types of data related to urban regeneration initiatives.

Project Documentation (PDF)

News & Activities

09/27/2025: Papers accepted and presented for 4th International Conference on Smart Technologies in Urban Engineering (STUE-2025) in Kharkiv, Ukraine: "Fusing Grad-CAM and Textual Explainable Artificial Intelligence for Urban Sentiment Assessment". (Read more)
09/17/2025:

Shaping the Dialogue on Ukraine's Future: My Experience at the Yalta European Strategy 2025 Young Leaders Forum

Read the full story...

KYIV, UKRAINE – On September 12-13, 2025, I had the distinct honor of participating in the Yalta European Strategy (YES) Annual Meeting as a member of the Young Leaders Forum, an exclusive platform for scholars of the Victor Pinchuk Foundation’s Zavtra.UA scholarship program. This year, in the heart of Ukraine’s capital, the forum convened global leaders, policymakers, and thinkers to address the most urgent question of our time: «How to End the War?»

The two-day conference was an intense and intellectually stimulating environment, providing a unique opportunity to engage directly with prominent figures who are shaping global policy and discourse. The panels featured a rich tapestry of perspectives from world-renowned leaders, including former UK Prime Minister Boris Johnson, Canadian Deputy Prime Minister Chrystia Freeland, acclaimed historians Timothy Snyder and Serhiy Plokhiy, veteran diplomat Radosław Sikorski, and distinguished military leader General David Petraeus. Their insights, while diverse, converged on a shared understanding: the world is at a critical inflection point, and the future of international security is being determined in Ukraine.

However, amidst these global discussions, the most profound and grounding moments came from the Ukrainian voices on the front line. A special session with Ukrainian military officers, commanders, and medics offered a powerful, unfiltered perspective on the realities of the war. Their unwavering courage, strategic clarity, and profound resilience served as a powerful reminder that true leadership is defined by action and sacrifice. Their presence shifted the focus from theoretical debate to the tangible human cost and heroism that underpins Ukraine's fight for freedom.

For me, the Young Leaders Forum was not a passive experience. It was a dynamic platform for challenging existing narratives, asking difficult questions, and contributing to a forward-looking vision for our country. Being surrounded by the brilliant and driven community of Zavtra.UA scholars – talented young people from diverse fields across Ukraine – reinforced my belief in the power of collective action and shared purpose. This was a space where we, the next generation of leaders, could not only listen but actively shape the dialogue.

Leaving the forum, I am filled with a renewed sense of purpose and an even stronger conviction that the future is not something to be awaited, but something to be built. The responsibility rests on each of us to translate these critical conversations into meaningful action.

I extend my deepest gratitude to the Yalta European Strategy and the Victor Pinchuk Foundation for this exceptional opportunity. A special and heartfelt thank you goes to Svitlana Grytsenko, Anna Boiko, and Olga Babych, as well as the entire Zavtra.UA team and volunteers. Your impeccable organization and unwavering dedication created an environment where dialogue could flourish and inspiration could take root. This experience was a powerful catalyst, and I am more committed than ever to contributing to a victorious and prosperous future for Ukraine.

Read more about the Yalta European Strategy Annual Meeting.
09/01/2025: Published «Sensor-Aware Graph Convolutional and LSTM Model for Reliable Water Quality Forecasting» in the 2025 IEEE 5th International Conference on Smart Information Systems and Technologies (SIST). (Read more)
09/01/2025: Published «Automated Face Recognition System Using Convolutional Neural Network» in the 2025 IEEE 5th International Conference on Smart Information Systems and Technologies (SIST). (Read more)
07/14/2025:

Published «An Advanced Ensemble Machine Learning Framework for Estimating Long-Term Average Discharge at Hydrological Stations Using Global Metadata» in Water (MDPI, CiteScore 6.0, Q1, IF 3.0). (Read more)
06/27/2025: Published «Methods of image pre-processing for automated object recognition systems» in the Management of Development of Complex Systems journal. (Read more)
05/14/2025: Two papers accepted for 2025 IEEE 5th International Conference on Smart Information Systems and Technologies (SIST) in Astana, Kazakhstan: «Automated Face Recognition System Using Convolutional Neural Network» and «Sensor-Aware Graph Convolutional and LSTM Model for Reliable Water Quality Forecasting». (Read more)
04/29/2025: Published «NeuroPhysNet: A Novel Hybrid Neural Network Model for Enhanced Prediction and Control of Cyber-Physical Systems» in Lecture Notes in Networks and Systems (LNNS, volume 1391). (View publication)
04/24/2025: Presented «Neural Network Methods for Multimodal Content Analysis in Urban Space Revitalization Process Optimization» at the University Annual Sci-Tech Student Conference. (Conference details)
04/21/2025: Participated in UA-EE Cyber Shield via Tallinn Mechanism - an international cybersecurity exercise. Our team from KNUBA ranked in the top 10 for critical infrastructure cybersecurity defense. (Read more)
04/15/2025: Delivered a talk on «Epistemology of Computer Vision: The Problem of Reality in Object Recognition» at the «Artificial Intelligence: Possibilities and Boundaries» scientific circle.
02/25/2025: Research project «Methodology for Determining the Tonality and Classification of Multimodal Content in Territorial Revitalization Projects Based on Neural Network Methods» received competitive funding approval from the Ministry of Education and Science of Ukraine (Order №369). (Official announcement)

Awards & Honors

Verkhovna Rada of Ukraine Scholarship, Two-time recipient, 2020-2021 & 2021-2022
«Zavtra.UA» Scholarship, Victor Pinchuk Foundation (for talented youth), Two-time recipient, 2020-2021 & 2022-2023
1st Place, All-Ukrainian Competition of Student Research Papers in «Professional Education», 2021
1st Place, All-Ukrainian Competition of Student Research Papers in «Educational and Age Psychology», 2020
3rd Place, All-Ukrainian Competition of Student Research Papers in «Educational and Age Psychology», 2021
3rd Place, All-Ukrainian Competition of Student Research Papers in «Information Systems and Technologies», 2021
3rd Place, International Student IT Olympiad «IT-Universe» in «Brand Design and Promotion» competition, 2020
1st Place, Startup Competition «Innovations in Construction and Architecture», 2019
3rd Place (Team), Educational Hackathon Digital Battle «Battle of the Titans» from European Association EASY, 2020

Volunteer Activities

YES (Yalta European Strategy) Conference

Team Member/Volunteer | Annual International Forum

Serving as a member of the organizational team for the YES international annual conference, which brings together over 350 leaders from politics, business, media, civil society, and the expert community from more than 50 countries around the world. The forum has been a crucial platform for discussing Ukraine's European integration since 2004.

Learn more about YES

RECOVERY Rehabilitation Network

Event Participant Volunteer | Network of Innovation Rehabilitation Centers

Supporting the RECOVERY project as an event volunteer participant. RECOVERY is Ukraine's largest network of innovative rehabilitation centers for wounded soldiers, currently operating 16 centers across Ukraine and having provided rehabilitation assistance to over 22,000 patients.

Learn more about RECOVERY

«General Combat Losses» Analytics Project

Developer & Owner | Information Analytics Platform

Created and maintain an information-analytical project that provides comprehensive statistics and metrics on combat losses. The platform offers an integrated toolkit for civilians, including air alert maps and combat action maps, helping citizens stay informed with accurate and up-to-date information during challenging times.

Access the Analytics Bot