Lesia Dubchak | Computer Engineering | Women Researcher Award

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 🚀.

Satyendra Kumar | Electronics | Best Researcher Award

Dr. Satyendra Kumar | Electronics | Best Researcher Award

Associate Professor at Jaypee Institute of Information Technology, Noida, India

Dr. Satyendra Kumar 👨‍🏫 is an Associate Professor in the Department of Electronics & Communication Engineering at Jaypee Institute of Information Technology (JIIT), Noida 🇮🇳. With a Ph.D. in low power SRAM design from JIIT 🧠🔋, and both B.Tech and M.Tech degrees from IIT Roorkee 🎓, he brings deep expertise in semiconductor device modeling, VLSI, and memory circuits. He has served in prestigious roles such as Editorial Board Member and Technical Program Committee Member for IEEE-sponsored conferences 🧾🎤. Passionate about innovation in low-power electronics and memory technologies, he actively contributes to research and academic development 💡📘.

Professional Profile:

Scopus

🔹 Education & Experience 

🎓 Ph.D. (Electronics & Communication Engineering)

  • Jaypee Institute of Information Technology, Noida (2018)

  • Thesis: Robust Low Power Low Voltage SRAM Design

  • Advisor: Prof. Hariom Gupta

  • Co-advisor: Dr. Kaushik Saha

🎓 M.Tech. (Electronics & Communication Engineering)

  • IIT Roorkee, 2002

🎓 B.Tech. (Electronics & Communication Engineering)

  • IIT Roorkee, 1998

👨‍🏫 Associate Professor

🔹 Professional Development 

Dr. Satyendra Kumar continuously engages in professional development through active participation in IEEE-sponsored events 🤝📡. He has served as Co-Track Chair for VLSI Technology & Embedded Systems at ICSC 2022 & 2023 🎙️, and is a long-time Technical Program Committee member for ICSC since 2019 🗓️. As an Editorial Board Member of the Journal of Electrical and Electronic Engineering 📰, he stays at the forefront of current trends and innovations. His involvement in organizing conferences, reviewing research, and collaborating with industry professionals like Samsung R&D 🏢 enables him to stay updated and guide future engineers effectively 👨‍🔧📚.

🔹 Research Focus 

Dr. Satyendra Kumar’s research centers on low-power and high-performance memory design 🧠⚡, particularly SRAM-based solutions for energy-constrained systems such as mobile and embedded devices 📱🔋. He explores advanced read/write assist techniques, low-voltage operation, and robust design for VLSI circuits 🛠️📐. His work also spans modeling and simulation of semiconductor devices, enhancing circuit reliability under process variations 🧪🔍. With a strong emphasis on low power applications, his research contributes significantly to the fields of nanotechnology, embedded systems, and next-generation computing architectures 💻🚀. His commitment to energy-efficient electronics positions him at the cutting edge of semiconductor research 🌱🔬.

🔹 Awards and Honors 

🏅 Editorial Board Member, Journal of Electrical and Electronic Engineering (since 2018)
🏅 Co-Track Chair, VLSI Technology & Embedded Systems – ICSC 2022 & 2023 (IEEE Co-sponsored)
🏅 TPC Member, International Conference on Signal Processing and Communication (ICSC) – since 2019

Publication Top Notes

1. Device and circuit-level assessment of temperature variation on the DC, Analog/RF and linearity performance metrics of III-V TFETs for reliability

Authors: P. Verma, Priyanka; S. Kumar, Satyendra
Journal: Micro and Nanostructures, 2025
Overview:
This article investigates how temperature variations affect the performance of III-V Tunnel Field Effect Transistors (TFETs). The study focuses on DC characteristics, analog/RF performance, and linearity—essential for reliable low-power circuit operation. It provides insights into design margins and the robustness of these devices under thermal stress at both device and circuit levels.

2. Negative capacitance double-gate MOSFET for advanced low-power electronic applications

Authors: A.N. Kumar, Amit N.; S. Chaturvedi, Saurabh; S. Kumar, Satyendra
Journal: Microelectronics Journal, 2025
Overview:
This work proposes and analyzes a Negative Capacitance Double-Gate MOSFET structure, leveraging ferroelectric materials to reduce power consumption. The study evaluates key parameters like subthreshold swing and leakage current, indicating significant improvements for future low-power applications.

3. Mole Fraction and Device Reliability Analysis of Vertical-Tunneling-Attributed Dual-Material Double-Gate Heterojunction-TFET with Si₀.₇Ge₀.₃ Source Region at Device and Circuit Level

Authors: K.S. Singh, Km Sucheta; S. Kumar, Satyendra
Journal: Journal of Circuits, Systems and Computers, 2024
Overview:
This article explores a dual-material gate heterojunction TFET design, particularly focusing on the Si₀.₇Ge₀.₃ source region. It performs a mole fraction-dependent reliability analysis and studies vertical tunneling effects, addressing improvements in device scalability, leakage control, and circuit performance.

Conclusion

Dr. Satyendra Kumar is a strong and suitable candidate for a Best Researcher Award, especially in the domain of VLSI design and semiconductor device research. His work addresses key challenges in low-power design—critical for mobile and embedded systems. His academic credentials, consistent involvement in IEEE conferences, and editorial roles further reflect his dedication and contribution to the scientific community.