Vasyl Martsenyuk | Data Science | Best Researcher Award

Prof. Vasyl Martsenyuk, University of Bielsko-Biala, Poland.

Prof. Vasyl Martsenyuk is a prominent academic in the field of Computer Science and Automation, currently serving as a Full Professor and Head of the Department at the University of Bielsko-Biała, Poland. With a strong background in data science, machine learning, and cybernetics, he has significantly contributed to educational reforms and various research projects in Europe. An active member of international academic communities, Prof. Martsenyuk has published extensively and engaged in numerous collaborations, fostering advancements in digital pedagogy and applied artificial intelligence. His dedication to education and research continues to inspire students and colleagues alike.

Publication Profile

Scopus

Orcid

Education and Experience

Education:

Ph.D. in Technical Sciences (2005)
Kyiv Taras Shevchenko National University, Faculty of Cybernetics
Specialty: System Analysis and Decision Making
Diploma of Full Professor in Medical Informatics with Biophysics (2005)
Ministry of Education and Sciences of Ukraine
Candidate of Physical and Mathematical Sciences (Ph.D.) (1996)
Kyiv Taras Shevchenko National University, Faculty of Cybernetics
Specialty: System Analysis and Decision Making
Diploma in Applied Mathematics (1993)
Kyiv Taras Shevchenko National University, Faculty of Cybernetics, Ukraine
Diploma in Pharmacy (2010)
Kharkiv National Pharmaceutical University, Ukraine

Experience:

Full Professor & Head of Department (2020-Present)
University of Bielsko-Biała, Department of Computer Science and Automation
Associate Professor (2015-2020)
University of Bielsko-Biała, Department of Computer Science and Automation
Scientific Supervisor (2014-2016)
Institute of Information Technologies and Learning Tools, National Academy of Pedagogical Sciences of Ukraine
Full Professor & Head of Medical Informatics Department (2005-2016)
Ternopil Medical University, Ukraine
Vice-Rector (2005-2015)
Ternopil Medical University, Ukraine

Suitability For The Award

Prof. Vasyl Martsenyuk is a distinguished academic with a strong educational foundation, extensive professional experience, and significant contributions to computer science, medical informatics, and cybernetics. He has excelled in research areas such as data science, artificial intelligence, and system analysis, alongside leadership roles in academia and international projects. With numerous awards, publications, and innovative initiatives, he has demonstrated exceptional expertise and dedication. His impactful work and commitment to advancing knowledge make him highly deserving of the Best Researcher Award.

Professional Development

Prof. Martsenyuk has engaged in numerous international traineeships, focusing on advancements in digital pedagogy, applied artificial intelligence, and big data innovations. Notably, he participated in the Erasmus+ program and collaborated with institutions such as the University of Montenegro and Charles University in Prague. His efforts have emphasized fostering digital learning environments and enhancing educational methodologies in the fields of medicine and technology. These experiences reflect his commitment to continuous professional growth and adaptation to emerging technological trends in education.

Research Focus

Prof. Martsenyuk’s research centers on data science, encompassing machine learning, artificial intelligence, and big data analysis. He explores the application of reinforcement learning within cybernetics, focusing on control theory and system analysis. His mathematical investigations include functional-differential equations, population dynamics, and stability analysis. By integrating these disciplines, he aims to develop innovative solutions that advance scientific computing and enhance decision-making processes in complex systems. Prof. Martsenyuk’s work significantly contributes to the advancement of knowledge in computer science and its practical applications.

Awards and Honors

Award of the Supreme Council of Ukraine (2007)
Award of the Prime Minister of Ukraine (2009)

Publication Top Notes

A Method to Improve the Accuracy of Bridge Cranes Overload Protection Using the Signal Graph (2024)
Neural Networks Toward Cybersecurity: Domain Map Analysis of State-of-the-Art Challenges (2024)
On Model of Recurrent Neural Network on a Time Scale: Exponential Convergence and Stability Research (2024)
The Influence of the Load Modelling Methods on Dynamics of a Mobile Crane (2024)
Amperometric Biosensor Based on Glutamate Oxidase to Determine Ast Activity (2024)
Аналітичний огляд підходів до проектування виробничих мереж (2024)
Designing a Competency-Focused Course on Applied AI Based on Advanced System Research on Business Requirements (2024)

Ruochen Li | Artificial Intelligence | Best Researcher Award

Dr. Ruochen Li, BOHUA UHD Co., Ltd. , China.

Ruochen Li, PhD candidate at Macau University of Science and Technology, specializes in Artificial Intelligence with a focus on no-reference video quality assessment, cross-modal audio-visual retrieval, and image-based sound source localization. With expertise in cutting-edge AI technologies like PyTorch, TensorFlow, and MindSpore, Li has achieved groundbreaking research in video quality evaluation and audio-visual content correlation, earning recognition in top-tier journals. He has also received a prize in the National Artificial Intelligence Competition for his contributions to ultra-high-definition video processing.

Education and Experience

PhD in Artificial Intelligence (2021-2024), Macau University of Science and Technology.

Master’s in Control Engineering (2016-2019), Jiangsu University of Science and Technology.

Supervisor: Associate Prof. Shuxia Ye.

Bachelor’s in Control Engineering (2012-2016), Jiangsu University of Science and Technology.

Research Participant: National Ultra-High Definition Video Innovation Center.

Research Contributor: China Science and Technology Information Research Institute.

Suitability For The Award

Dr. Ruochen Li is an accomplished researcher specializing in artificial intelligence, video quality assessment, and audio-visual event retrieval. With a Ph.D. in Artificial Intelligence from Mauca University of Science and Technology and extensive expertise in PyTorch, TensorFlow, and MindSpore, Li has contributed significantly to advancing multimedia technologies. Their innovations include state-of-the-art datasets, algorithms like Reformer, and multimodal fusion techniques with applications in accessibility, entertainment, and surveillance. Recognized through high-impact publications and awards, including third prize in the National Artificial Intelligence Competition, Ruochen Li exemplifies excellence in research and innovation, making them a strong candidate for prestigious honors such as the Best Researcher Award.

Professional Development

Ruochen Li’s professional journey is defined by innovations in AI and deep learning. He developed the UHD-VQ5k dataset and proposed novel algorithms for ultra-high-definition video quality assessment, utilizing advanced models like Resformer. His work in audio-visual content analysis, featured in his doctoral dissertation, emphasizes the integration of audio-visual features using deep neural networks. As a key participant in national projects, he has contributed to cloud-based UHD video platforms and AI policy analysis. His collaborations and publications underscore his commitment to advancing AI research and applications.

Research Focus

Ruochen Li’s research revolves around Artificial Intelligence applications in multimedia. His expertise spans no-reference video quality assessment, where he develops datasets and benchmarks for UHD video, to cross-modal audio-visual retrieval, enhancing machine understanding of multimodal content. His work also extends to image-based sound source localization, integrating audio-visual data for precise event detection. Through pioneering algorithms, Li bridges gaps between modalities, advancing the interplay of audio and video content in deep learning applications. His contributions drive progress in multimedia AI.

Publication Top Notes

SgLFT: Semantic-guided Late Fusion Transformer for Video Corpus Moment Retrieval – Neurocomputing, 2024.
Ultrahigh-definition Video Quality Assessment: A New Dataset and Benchmark – Neurocomputing, 2024,
TA2V: Text-Audio Guided Video Generation – IEEE Transactions on Multimedia, 2024,
Cross-Modality Knowledge Calibration Network for Video Corpus Moment Retrieval – IEEE Transactions on Multimedia, 2024,
Maximizing Mutual Information Inside Intra- and Inter-Modality for Audio-Visual Event Retrieval – International Journal of Multimedia Information Retrieval, 2023,