Lesia Dubchak | Computer Engineering | Women Researcher Award

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Assoc. Prof. Dr. Lesia Dubchak | Computer Engineering | Women Researcher Award

Head of Department of Computer Engineering at West Ukrainian National University, Ukraine

Lesia Orestivna Dubchak 🇺🇦 is a distinguished Ukrainian scholar and educator in computer engineering, with a vibrant career marked by innovation, pedagogy, and scientific excellence. With dual honors degrees in Mathematics and Computer Systems 🎓, she has risen from engineer to Head of the Department of Computer Engineering at ZUNU 🏫. Her research delves into intelligent computing, emphasizing fuzzy logic, cybersecurity 🔐, and machine learning 🤖. With over 100 scholarly outputs, including 30+ Scopus and WoS-indexed articles, Lesia has shaped both the academic and research landscapes. Her teaching repertoire spans cutting-edge subjects from FPGA programming to data protection systems 💻. Passionate about student development and scientific rigor, she has mentored many through theses and research endeavors. Her intellectual contributions and departmental leadership demonstrate her unwavering commitment to technological progress and academic distinction 🏅.

Professional Profile 

🎓 Education

Lesia Dubchak’s academic journey showcases her commitment to excellence and interdisciplinary knowledge. In 2003, she earned her first honors degree from Ternopil State Pedagogical University in Mathematics and Informatics 🧮. The following year, she graduated with distinction from the Master’s Training Center of the Ternopil Academy of National Economy 🏛️, specializing in Computer Systems and Networks. These foundational achievements laid the groundwork for her future pursuits in advanced computing and digital security. Her educational background seamlessly blends logic, pedagogy, and technical precision, equipping her with the analytical and instructional skills vital for her academic and professional journey 📘. This dual-track education empowered her to effectively bridge theoretical computer science with applied informatics, a synergy that continues to define her career as a scholar, educator, and department leader 🚀.

💼 Professional Experience

Lesia’s professional path has been both steady and inspiring. Beginning in 2002 as an engineer at ZUNU’s Regional Computer Center 🖥️, she quickly transitioned into research and lecturing roles. From 2003 to 2013, she served as a Lecturer in the Department of Computer Engineering, showcasing her natural aptitude for teaching and research 📚. Promoted to Senior Lecturer in 2013 and then Associate Professor by 2015, she consistently demonstrated leadership and academic excellence. Since 2022, she has led the Department of Computer Engineering as its Head, shaping its strategic direction and academic agenda 🎓. Her career reflects a harmonious blend of administrative leadership and academic dedication, with each position building upon the last. Through continuous service, she has fostered an environment that values both rigorous research and student empowerment 🔍.

🔬 Research Interest

Lesia Dubchak’s research is anchored in intelligent data systems, with a primary focus on fuzzy logic applications in cybersecurity and access control systems 🔐. Her PhD work, centered on access control mechanisms using fuzzy logic, reveals a nuanced understanding of how ambiguity and uncertainty can be systematically managed within computer systems 🤖. Her contributions extend into the realms of image processing, information protection, parallel computing, and machine learning, areas critical to emerging technological challenges 📊. With participation in numerous state and contract-funded projects, she demonstrates not only theoretical knowledge but also practical innovation 🧠. Her interdisciplinary approach allows her to integrate algorithmic efficiency with human-centric security models, making her work highly relevant in the era of digital transformation and artificial intelligence 🌐.

🏆 Awards and Honors

Lesia has been recognized throughout her career for her academic integrity, research innovation, and teaching excellence 🎖️. Her PhD defense in 2013 marked a pivotal scholarly achievement, while the awarding of her Associate Professor title in 2021 confirmed her as a leading voice in Ukrainian computer engineering education 🎓. She has authored 102 scientific works, with 30+ indexed in Scopus and Web of Science, a rare feat indicating both impact and international recognition 🌍. In addition, she holds authorship in textbooks, monographs, and even a patent, reinforcing her role as a pioneer in applied computing. Her continued involvement in major research projects and curriculum development highlights her as a respected academic and innovator in her field 💼. These accolades reflect both depth and breadth in her contributions to science and education 🥇.

📚 Publications Top Note 

1. High Performance Adaptive System for Cyber Attacks Detection

  • Authors: M. Komar, V. Kochan, L. Dubchak, A. Sachenko, V. Golovko, S. Bezobrazov

  • Year: 2017

  • Citations: 34

  • Source: 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS)

  • Summary:
    This paper presents an adaptive system for detecting cyberattacks in real-time. The system uses intelligent methods, including machine learning and data analysis, to adaptively identify and react to threats. It is aimed at improving cybersecurity for critical systems by reducing false positives and increasing detection accuracy.

2. Guidelines for Coursework, Internships, and Thesis Preparation for Computer Engineering Students

  • Authors: I. V. Hural, L. O. Dubchak

  • Year: 2019

  • Citations: 30

  • Source: Ternopil National Economic University (TNEU)

  • Summary:
    This is a methodological guide intended for students of computer engineering. It outlines the standards and formatting rules for writing coursework, internship reports, and final qualification papers, aiming to unify academic writing practices.

3. Telemedicine: Current Status and Development Prospects

  • Author: L. O. Dubchak

  • Year: 2017

  • Citations: 27

  • Source: Systems of Information Processing

  • Summary:
    The article reviews the state of telemedicine technologies and outlines potential future trends. It discusses how remote healthcare services can be improved through ICT advancements, especially in diagnostics and real-time monitoring.

4. Fuzzy Data Processing Method

  • Authors: L. Dubchak, N. Vasylkiv, V. Kochan, A. Lyapandra

  • Year: 2013

  • Citations: 24

  • Source: IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems

  • Summary:
    This paper proposes a method for processing fuzzy (uncertain or imprecise) data using a modified algorithm that enhances decision-making processes. It’s especially relevant for systems that involve human-like reasoning under uncertainty.

5. Fuzzy System for Breast Disease Diagnosing Based on Image Analysis

  • Authors: O. Berezsky, L. Dubchak, N. Batryn, K. Berezska, O. Pitsun, Y. Batko, …

  • Year: 2019

  • Citations: 21

  • Source: CEUR Workshop Proceedings

  • Summary:
    This study introduces a fuzzy logic-based system that aids in diagnosing breast diseases from medical images. It helps interpret complex visual data, improving the reliability and speed of diagnosis in telemedicine.

6. Access Distribution in Automated Microscopy System

  • Authors: O. Berezsky, L. Dubchak, O. Pitsun

  • Year: 2017

  • Citations: 19

  • Source: 14th International Conference “The Experience of Designing and Application of CAD Systems in Microelectronics”

  • Summary:
    The paper focuses on secure access control mechanisms within automated microscopy systems, crucial for medical data privacy and accurate diagnostics. It includes layered access based on user roles.

7. Fuzzy System Diagnosing of Precancerous and Cancerous Conditions of the Breast

  • Authors: O. Berezsky, S. Verbovyy, L. Dubchak, T. Datsko

  • Year: 2016

  • Citations: 19

  • Source: XIth International Scientific and Technical Conference on Computer Sciences and Information Technologies

  • Summary:
    This work explores a fuzzy system to differentiate between precancerous and cancerous conditions in breast tissues. It uses data-driven modeling to enhance early diagnosis capabilities.

8. Modern Automated Microscopy Systems in Oncology

  • Authors: O. Pitsun, N. Batryn, T. Datsko, K. Berezska, L. Dubchak, O. Berezsky

  • Year: 2018

  • Citations: 16

  • Source: CEUR Workshop Proceedings

  • Summary:
    This paper reviews modern microscopy tools used in cancer diagnostics. The team discusses improvements in image clarity, automation, and diagnostic integration with hospital systems.

9. Implementation Technology Software-Defined Networking in Wireless Sensor Networks

  • Authors: M. B. Aleksander, L. Dubchak, V. Chyzh, A. Naglik, A. Yavorski, N. Yavorska, …

  • Year: 2015

  • Citations: 15

  • Source: IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems

  • Summary:
    This study applies SDN (Software-Defined Networking) principles to wireless sensor networks. It emphasizes dynamic configuration, better scalability, and energy efficiency in IoT and cyber-physical systems.

10. Fuzzy System of Diagnosing in Oncology Telemedicine

  • Authors: O. Berezsky, S. Verbovyy, L. Dubchak, T. Datsko

  • Year: 2017

  • Citations: 13

  • Source: Sensors & Transducers, Vol. 208(1), pp. 32

  • Summary:
    This research applies fuzzy logic to telemedicine platforms, particularly for oncology. It improves remote diagnosis quality by handling uncertainty in patient data and test results.

11. Methods, Algorithms, and Software for Biomedical Image Processing

  • Authors: O. Berezsky, Y. Batko, K. Berezka, S. Verbovyy, T. Datsko, …

  • Year: 2017

  • Citations: 12

  • Source: Institutional monograph (likely in Ukrainian)

  • Summary:
    This publication discusses computational techniques used to process biomedical images. It highlights fuzzy and neural network approaches used in pattern recognition and anomaly detection.

12. Fuzzy Data Processing Method Based on Mamdani Mechanism

  • Author: L. O. Dubchak

  • Year: 2012

  • Citations: 12

  • Source: Systems of Information Processing

  • Summary:
    The paper proposes a method to process fuzzy data using the Mamdani inference mechanism. This method enhances the interpretation of ambiguous information in decision-making systems.

13. Method of Fuzzy Information Processing

  • Author: L. O. Dubchak

  • Year: 2012

  • Citations: 12

  • Source: Bulletin of the East Ukrainian National University named after V. Dal

  • Summary:
    An in-depth presentation of a technique for managing fuzzy information, particularly in systems with uncertainty. It is relevant for diagnostics, forecasting, and control systems.

✅ Conclusion

Lesia Orestivna Dubchak exemplifies a rare blend of scholarly brilliance, technical expertise, and leadership acumen 🌟. From her dual honors education to her rise as department head, she has steadily built a legacy rooted in excellence and innovation. Her contributions to fuzzy logic, cybersecurity, and data systems resonate across classrooms and research labs alike 💡. As a mentor, she cultivates curiosity; as a leader, she drives progress. Her prolific output and continuous dedication to scientific discovery mark her as an influential figure in the global academic community 🌐. In conclusion, Lesia’s journey is a testament to how commitment to learning, innovation, and purposeful leadership can shape the future of technology and education 🚀.

Shahriyar Safat Dipta | Engineering | Young Scientist Award

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Dr. Shahriyar Safat Dipta | Engineering | Young Scientist Award

PhD Scholar at University of New South Wales, Australia

Shahriyar Safat Dipta 🌱 is a dynamic Project Engineer and accomplished academic with a rich background in electrical and renewable energy systems. With a PhD from UNSW 🇦🇺 and a stellar undergraduate record at BUET 🇧🇩, he blends academic brilliance with hands-on technical expertise. From lecturing in Bangladesh to leading energy projects in Australia, Shahriyar has built a multidisciplinary profile in solar photovoltaics, battery storage, and smart building systems. He has contributed to cutting-edge research, holds a patent in solar encapsulation, and has delivered impactful energy solutions in both industrial and academic settings ⚡. Adept in tools like MATLAB, PSCAD, and Python, he demonstrates fluency in both system-level design and detailed analysis 🖥️. Shahriyar’s collaborative spirit, punctuality ⏱️, and communication prowess make him an exceptional asset in complex, team-driven environments. Passionate about sustainable innovation 🌞 and future-proof technologies, he remains committed to transforming energy systems for a greener planet 🌍.

Professional Profile 

🎓 Education

Shahriyar’s academic trajectory is a testament to his pursuit of excellence 📚. He earned his PhD in Renewable Energy Engineering from the prestigious University of New South Wales (UNSW), where he delved deep into electrical modeling and photovoltaic analysis. His doctoral work led to published papers and a patent on phenolic encapsulation for perovskite solar cells 🧪. Prior to this, he completed his B.Sc in Electrical and Electronic Engineering at BUET, Dhaka, ranking among the top 5% of his class with a remarkable CGPA of 3.89/4.00 🏅. At BUET, he immersed himself in numerous research-based and design-focused projects in electronics, power systems, and communication technologies. His formal education provided a robust foundation in theoretical and applied engineering, equipping him with the knowledge and tools to navigate complex energy systems. His passion for learning and technical excellence continues to fuel his work across academia and industry 🌟.

🧰 Professional Experience

Shahriyar brings a wealth of diverse experience across academia and industry 🌐. Currently serving as a Project Engineer at iAuto Energy in Melbourne, he leads building electrical services initiatives—designing, commissioning, and quoting projects that align with Green Star and NABERS energy standards ⚙️. He has played a pivotal role in deploying Schneider EV chargers and automating systems to promote sustainability. Previously, he contributed as a Graduate Researcher at UNSW, working on solar performance, device efficiency, and supervising student projects 🌞. Before moving to Australia, he shaped young engineering minds as a Lecturer at East-West University and Green University of Bangladesh, teaching power systems and guiding final year research 📖. Shahriyar’s career reflects a consistent progression in leadership, technical depth, and a commitment to sustainable energy transitions. His cross-continental experience underscores his adaptability, precision, and ability to deliver results in fast-evolving energy environments 🔌.

🔬 Research Interests

At the heart of Shahriyar’s professional passion lies a strong research identity driven by renewable innovation and system optimization 🌿. His core interests revolve around photovoltaic technology, especially the stability and modeling of perovskite solar cells. At UNSW, he investigated advanced solar encapsulation techniques and contributed to SCAPS-1D-based simulation models for solar efficiency improvement. He also explored plant growth under regulated light environments 🌱—an intersection of energy and agriculture. Earlier at BUET, he studied solar cell behavior and began building his foundation in electrical modeling. Shahriyar is also deeply interested in smart energy systems, battery integration, and grid-connected solutions, utilizing tools like PSSE and PSCAD to simulate dynamic energy flows 🔄. His portfolio includes IoT-driven energy monitoring devices and motion-based communication systems. With a strong publication record, a patent, and real-world applications, Shahriyar continues to bridge the gap between innovative research and implementable technologies for clean energy futures ⚡.

🏆 Awards and Honors

Shahriyar’s academic and professional journey is richly decorated with accolades that spotlight his brilliance 🏅. He earned the Australian Government Research Training Program Scholarship for his PhD at UNSW—a prestigious award recognizing high-potential researchers. He also secured the UNSW Higher Degree Research Completion Scholarship and the Development and Research Training Grant, reflecting his research excellence in photovoltaic systems. Earlier in his academic career, he received the BUET Merit Scholarship for his outstanding undergraduate performance 🎓. His excellence dates back to high school, where he won a Bronze Medal at the International Mathematics Competition in Chiang Mai, Thailand—a rare and early indicator of his analytical strength 🧠. These accolades demonstrate Shahriyar’s consistent pursuit of knowledge and innovation, from foundational education to high-impact research. Each honor represents not just recognition, but also a reminder of the responsibility he carries in reshaping the future of clean energy and sustainable systems 🌎.

📚 Publications Top Note 

1. Stability issues of perovskite solar cells: A critical review

  • Authors: SS Dipta, A Uddin

  • Year: 2021

  • Citations: 70

  • Source: Energy Technology, 9(11), 2100560

  • Summary: A comprehensive review identifying degradation mechanisms in perovskite solar cells (PSCs), covering environmental, intrinsic material, and interfacial instabilities. The paper also discusses strategies to improve device lifetime.

2. Performance analysis of an efficient and stable perovskite solar cell and a comparative study of incorporating metal oxide transport layers

  • Authors: A Ghosh, SS Dipta, SSS Nikor, N Saqib, A Saha

  • Year: 2020

  • Citations: 54

  • Source: Journal of the Optical Society of America B, 37(7), 1966–1973

  • Summary: Examines the efficiency and stability of PSCs using various metal oxide layers. It compares electron and hole transport layers, providing insights into optimizing device performance.

3. Estimating the potential for semitransparent organic solar cells in agrophotovoltaic greenhouses

  • Authors: SS Dipta, J Schoenlaub, MH Rahaman, A Uddin

  • Year: 2022

  • Citations: 50

  • Source: Applied Energy, 328, 120208

  • Summary: Investigates how semitransparent organic solar cells can be integrated into greenhouse roofs. Simulates energy generation and crop yield to evaluate viability in agrophotovoltaic systems.

4. Encapsulating perovskite solar cells for long-term stability and prevention of lead toxicity

  • Authors: SS Dipta, MA Rahim, A Uddin

  • Year: 2024

  • Citations: 27

  • Source: Applied Physics Reviews, 11(2)

  • Summary: Focuses on advanced encapsulation techniques to enhance PSC stability and contain lead leakage, addressing environmental safety concerns for commercial deployment.

5. Enhanced light management and optimization of perovskite solar cells incorporating wavelength dependent reflectance modeling

  • Authors: SS Dipta, A Uddin, G Conibeer

  • Year: 2022

  • Citations: 22

  • Source: Heliyon, e11380

  • Summary: Uses modeling to optimize light harvesting in PSCs by analyzing wavelength-dependent reflectance. Shows improved efficiency through better photon management.

6. Stable and efficient perovskite solar cell with metal oxide transport layers

  • Authors: A Ghosh, S Safat, MS Islam

  • Year: 2019

  • Citations: 11

  • Source: 2019 International Conference on Electrical, Computer and Communication Engineering

  • Summary: Presents a stable PSC architecture using metal oxide transport layers. Demonstrates experimental stability improvements over conventional organic transport layers.

7. Stable and Lead‐Safe Polyphenol‐Encapsulated Perovskite Solar Cells

  • Authors: SS Dipta, AJ Christofferson, PV Kumar, V Kundi, M Hanif, J Tang, N Flores, …

  • Year: 2024

  • Citations: 10

  • Source: Advanced Science, 11(31), 2403057

  • Summary: Introduces polyphenol-based encapsulation to enhance PSC stability and inhibit lead leakage. Shows promise for safer and more durable perovskite devices.

8. Highly efficient double-side-passivated perovskite solar cells for reduced degradation and low photovoltage loss

  • Authors: SS Dipta, MH Rahaman, WB Tarique, AH Howlader, A Pratik, JA Stride, …

  • Year: 2024

  • Citations: 9

  • Source: Solar Energy Materials and Solar Cells, 266, 112655

  • Summary: Employs passivation on both sides of the perovskite absorber layer to reduce degradation and improve photovoltage retention under operational conditions.

9. Self‐Formation of SnCl2 Passivation Layer on SnO2 Electron‐Transport Layer in Chloride–Iodide‐Based Perovskite Solar Cell

  • Authors: AH Howlader, SS Dipta, WB Tarique, Y Qi, A Pratik, Y Yin, MA Hossain, …

  • Year: 2024

  • Citations: 5

  • Source: Advanced Energy and Sustainability Research, 5(7), 2400030

  • Summary: Demonstrates self-passivation using SnCl₂, improving charge transport and reducing interfacial recombination in chloride–iodide PSCs.

10. Comparative analysis of the stability and performance of double-, triple-, and quadruple-cation perovskite solar cells for rooftop and indoor applications

  • Authors: SS Dipta, AH Howlader, WB Tarique, A Uddin

  • Year: 2024

  • Citations: 5

  • Source: Molecules, 29(12), 2758

  • Summary: Studies the effect of different cation combinations on PSC performance and durability, assessing their feasibility for both indoor and rooftop applications.

11. Solution-Processed Bilayered ZnO Electron Transport Layer for Efficient Inverted Non-Fullerene Organic Solar Cells

  • Authors: WB Tarique, MH Rahaman, SS Dipta, AH Howlader, A Uddin

  • Year: 2024

  • Citations: 5

  • Source: Nanomanufacturing, 4(2), 81–98

  • Summary: Proposes a bilayer ZnO-based ETL in inverted organic solar cells, achieving better charge mobility and enhanced overall efficiency.

12. 2-d motion based real time wireless interaction system for disabled patients

  • Authors: SS Dipta, A Ghosh, A Kundu, A Saha

  • Year: 2019

  • Citations: 3

  • Source: 2019 International Conference on Wireless Communications, Signal Processing and Networking

  • Summary: Develops a real-time motion tracking system using wireless technology to assist disabled individuals in interacting with digital environments.

13. Defects passivation in chloride-iodide perovskite solar cell with chlorobenzylammonium halides

  • Authors: AH Howlader, WB Tarique, SS Dipta, A Pratik, Y Yin, A Uddin

  • Year: 2024

  • Citations: 2

  • Source: Solar Energy, 282, 112968

  • Summary: Highlights a novel passivation method using chlorobenzylammonium halides to suppress defects and enhance the efficiency and longevity of chloride–iodide PSCs.

✅ Conclusion

In conclusion, Shahriyar Safat Dipta is a future-facing, solution-driven Electrical and Energy Engineer whose work spans education, research, and engineering execution 🌟. His profile harmonizes academic rigor with practical insights, offering a rare combination of theoretical depth and hands-on expertise in solar energy, smart systems, and project implementation. With a PhD focused on solar technology, an industry role in building electrification, and a foundation in top-tier universities across two continents, Shahriyar exemplifies the modern energy professional 💡. He is not only a contributor to science but a mentor, a collaborator, and an innovator driven by impact. Whether designing solar grids or mentoring student researchers, his influence is consistent and meaningful. As the world moves toward net-zero targets, professionals like Shahriyar will be essential in driving real transformation. His future is undoubtedly bright, and his contributions are poised to light the way for a more sustainable world 🌞🔋🌍.