جست‌وجوی استاد و پژوهشگر

Mykhailo Petrovych Gorskyمشاهده پروفایل

استادیار

• Computer Modeling
• Physical Phenomena
• Parallel Computing
• +۵ مورد دیگر

Mykhailo Petrovych Gorsky serves as Assistant Professor in the Department of Computer Science at Yuriy Fedkovych Chernivtsi National University, specializing in computational modeling of physical systems and high-performance computing. He holds a Candidate of Physical and Mathematical Sciences degree (2012) and Associate Professor certification (2017). His educational credentials include: Bioengineer from Yuriy Fedkovych Chernivtsi National University (2002) Candidate of Physical and Mathematical Sciences in Optics and Laser Physics (2012) Professional development certificates in cloud services and distributed systems from Ternopil National Technical University (2021) Gorsky's research centers on computer modeling of physical phenomena with emphasis on parallel, distributed, and cloud computing applications. His work bridges optical physics, digital image processing, and material science, developing algorithms for 3D polarization mapping, polycrystalline structure reconstruction, and statistical analysis of microscopic images. Key application areas include printing industry quality control and biomedical diagnostics. Analysis of his 2022-2024 publications reveals a strong trend toward cloud-based optical computation (particularly AWS infrastructure), interdisciplinary biomedical tomography, and industrial applications of polarization mapping. His work consistently integrates computer science with optics and material science, demonstrating technical depth in both algorithm development and practical implementation. Professionally, Gorsky serves as Team Lead at OSF GLOBAL UKRAINE and participates in the Chernivtsi IT Cluster 'Cluster Bit' since 2020. He has authored multiple textbooks on distributed systems and cloud computing, including 'Technologies of Distributed Systems and Parallel Computing' (2022) and 'Applied Programming: From Theory to Practice' (2021).

Lisovenko Iryna Dmytrivnaمشاهده پروفایل

استادیار

• Parallel and Distributed Computing
• GPU Computing
• Automatic Program Parallelization
• +۳ مورد دیگر

Lisovenko Iryna Dmytrivna serves as Assistant Professor in the Department of Computer Systems and Networks at Yuriy Fedkovych Chernivtsi National University since 2002, following her 2000 diploma in Computer Systems and Networks from the same institution. Her professional trajectory includes software engineering at a municipal medical institution (2000–2002) and ongoing contractual collaboration with Elogic Commerce since 2018. Her academic credentials include: Yuriy Fedkovych Chernivtsi State University, Faculty of Physics, Department of Computer Science, specialty "Computer Systems and Networks" (2000) Dr. Lisovenko's research centers on parallel and distributed computing, emphasizing automatic parallelization techniques, GPU-accelerated non-graphical computing, and structural analysis of program intermediate representations. She concurrently investigates specialized computer systems for data stream processing and develops methodologies for enterprise accounting automation, bridging theoretical computer science with business process optimization. Her scholarly output demonstrates sustained innovation in high-performance computing architectures. Analysis of her 15 most recent publications (2012–2021) reveals three dominant research thrusts: GPU-based parallelization (40% of works, including Kalyna encryption and bitonic sorting implementations), algorithmic optimization for diverse hardware (33%, covering sorting networks and structural matrices), and applied systems for real-world problems (27%, spanning smart home control, social media analysis, and enterprise automation). This evolution reflects increasing focus on practical GPU applications while maintaining core expertise in parallel algorithm design. She actively contributes to academic development through teaching Parallel and Distributed Computing, Economic and Legal Aspects of Enterprise Automation, and DevOps/DevNet courses, while authoring 12+ methodological manuals including "Parallel and Distributed Computing: Laboratory Workshop" (2022) and "System Administration of Linux OS" (2021). Her professional development includes certifications in Constitutional Law, Finance and Investment, DevNet Associate, and All Digital Week initiatives (2020–2021).