Roumiana Kountcheva | Object representation | Best Researcher Award

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Dr. Roumiana Kountcheva | Object representation | Best Researcher Award

Vice president, senior researcher, TK Engineering, Bulgaria

[Name] is a computer scientist and engineer specializing in Computer Vision, Image Processing, Computer Graphics, CNC, and Programmable Controllers 👨‍💻. He earned his Ph.D. in Computer Science (1977) from the Technical University of Sofia 🎓. With over five decades of experience, he has made significant contributions to industrial automation, AI-driven image processing, and CNC systems 🏭🤖. As Co-owner and Vice President of T&K Engineering (since 1993), he leads cutting-edge research in AI, automation, and advanced computing 🚀. A Senior Researcher (since 1993), he has authored 252 publications, pioneering computer vision and industrial control innovations 📚.

Profile

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Education 🎓

He holds an M.Sc. in Computer Systems (1973) and a Ph.D. in Computer Science (1977) from the Technical University of Sofia, specializing in Computer Vision and Communication 🖥️. He completed postdoctoral training at Fujitsu (Japan, 1977) on large-scale computer testing and at Fanuc (Japan, 1980) on CNC, robotics, and programmable controllers 🇯🇵. His strong academic foundation has fueled groundbreaking innovations in AI-driven image processing, industrial automation, and digital transformation 📊🔍.

Experience 💼

With a 50+ year career, he worked at ZIT Plant (1977–1986) on CNC systems, PLCs, and industrial automation ⚙️, later heading the Engineering Department at the Research Institute for Industrial Electronics (1986–1993) 🔬. In 1993, he co-founded T&K Engineering, leading R&D in AI-driven automation, computer vision, and robotics 🚀. His expertise includes programmable controllers, image compression, industrial software, and intelligent automation 🏭📡. A Senior Researcher (since 1993), he continues to shape the future of industrial AI applications 🤖.

Awards & Honors 🏅

Received the prestigious Senior Researcher title (1993) for excellence in computer vision and industrial automation 🏆. Honored for pioneering work in CNC systems, programmable controllers, and AI-driven image processing 🎖️. Recognized for contributions to robotics, automation, and industrial computing 🤖. Holds multiple industry certifications and international distinctions in computer graphics, AI, and industrial electronics 🌍. A respected leader in academic and industrial research, with 252 publications influencing modern AI and automation 📚.

Research Focus 🔬

His research spans Computer Vision, Image Processing, Computer Graphics, and Industrial Automation 🖥️. He specializes in AI-driven image compression, pattern recognition, real-time image analysis, and deep learning for automation 🤖📡. His work integrates programmable logic controllers (PLCs), CNC systems, and robotics 🏭. He explores intelligent control systems, AI-powered industrial solutions, and next-gen automation 🚀. His cutting-edge innovations bridge AI, manufacturing, and real-world applications 🔍, ensuring technological advancements in automation and digital transformation ⚡.

Publications

🔹Roumiana Kountcheva, Rumen Mironov. “Adaptive Invariant Object Representation.” Symmetry, 2025. DOI: 10.3390/sym17020234
🔹 Roumen Kountchev, Rumen Mironov, Roumiana Kountcheva. “Analysis of the Recursive Locally-Adaptive Filtration of 3D Tensor Images.” Symmetry, 2023. DOI: 10.3390/sym15081493
🔹 Kountchev, R.K., Todorov, V.T., Kountcheva, R.A. “Compression of Multispectral and Multi-View Images with Inverse Pyramid Decomposition.” International Journal of Reasoning-based Intelligent Systems, 2011. DOI: 10.1504/IJRIS.2011.042264

🏆 Conclusion:

The candidate is highly suitable for the Best Researcher Award, given their deep expertise, innovation in AI-driven imaging technologies, and extensive research contributions. Addressing patents, high-impact publications, and industry-academia synergy could further solidify their position as a top contender for the award.

Zhiyi Liu | Embodied Intelligence | Best Researcher Award

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Dr. Zhiyi Liu | Embodied Intelligence | Best Researcher Award

Chief Scientist at Eastmoney AI Research Institute, China

The individual is a distinguished AI scientist with a vast background in multimodal AI, data integration, and financial technology. 📊 They have contributed significantly to AI applications across various industries, including search engines, digital healthcare, and financial markets. 🌐 Holding senior positions at prominent companies such as Baidu, SenseTime, and East Money Group, they have driven innovation in AI algorithms and system architecture. 💻 Their leadership in AI governance and multimodal model development has solidified their role as a key player in the AI landscape. 🤖 Additionally, their collaboration with academic and industry leaders, including Professor Andrew Ng, has furthered the integration of cutting-edge AI into real-world applications.

Publication Profile

scholar

Education 🎓

They are pursuing an IMBA at the University of Hong Kong Business School (2024-2026).  They completed their Doctorate in Intelligent Manufacturing at ISTEC Paris (2021-2024).  Their undergraduate education is in Computer Science and Technology from Beijing University of Posts and Telecommunications (2007-2011).  Throughout their academic career, they have focused on merging technical expertise with strategic innovation, especially in fields related to AI, intelligent manufacturing, and business. Their education has laid a solid foundation for their work, combining both advanced technical skills and a keen understanding of the business implications of AI technologies.

Experience 🔧

Currently, they are the Principal Scientist & Executive Dean at East Money Group, leading intelligent financial risk assessment models.  Prior to this, they co-founded and served as an AI scientist at SenseTime (2019-2022), where they led multimodal data fusion projects.  At Baidu (2011-2018), they spearheaded the integration of AI into search technologies and collaborated with top AI experts, including Andrew Ng. 🤝 They have also contributed to the development of multimodal AI models at the Chinese Academy of Sciences (2018-2019). Their diverse experience encompasses AI applications in finance, healthcare, and autonomous systems.

Awards and Honors 🏆 

At the international level, they are a member of the technical committee for the IEEE CCAI 2024 conference and a technical expert for the IEC/SMB/SEG12 Bio-digital Convergence System Evaluation Team.  Nationally, they are a member of the AI Ethics Working Committee of the Chinese Association for Artificial Intelligence and an expert on Chinese AI standards. 🇨🇳 They are a distinguished fellow at Shanghai Jiaotong University’s AI and Marketing Research Center and serve as the Executive Director of the Research Center for Computational Law and AI Ethics. 🏅 Their accolades reflect their contributions to AI ethics, governance, and research.

Research Focus  🔬

Their research centers on multimodal AI, integrating data streams from text, images, speech, and video to enhance AI’s cognitive abilities. 🧠 They have made significant advancements in natural language processing (NLP), computer vision, and deep learning.  Their work also addresses AI governance, ensuring transparency, fairness, and compliance in AI systems.  They focus on practical applications in digital healthcare, where multimodal data fusion has improved diagnostic accuracy and patient care.  Additionally, they have applied AI innovations to financial markets, optimizing decision-making through advanced algorithms and risk assessment models.

Conclusion

This candidate demonstrates exceptional qualifications for the Best Researcher Award, thanks to their pioneering work in embodied intelligence, multimodal AI models, and cross-sector applications. Their leadership in AI innovation, coupled with their significant academic influence and contributions to AI ethics, makes them a standout nominee. By leveraging further commercial application and broadening international collaborations, they can continue to push the boundaries of AI research, solidifying their position as a leading researcher in the global AI community.

Publication  Top Notes

Development Paradigm of Artificial Intelligence in China from the Perspective of Digital Economics 📊: Z Liu, Y Zheng explore the AI development in China’s digital economy. (Journal of Chinese Economic and Business Studies, 2022)

Evolving Financial Markets: The Impact and Efficiency of AI-Driven Trading Strategies 💹: Z Liu, K Zhang, D Miao discuss the role of AI in enhancing trading efficiency. (International Conference on Intelligence Science, 2024)

Research on Intelligent Computing and Trustworthy Machine Learning in Financial Complex Systems 🤖: Z Liu, K Zhang, Y Zheng, S Xu, J Qu investigate AI applications in financial systems. (2024 International Conference on Data-Driven Optimization)

Application Methods of Large Language Model Interpretability in FinTech Scenarios 💼: Z Liu, K Zhang, Y Zheng, Z Sun study LLM interpretability in financial technology. (2024 International Conference on Computer Communication and Artificial Intelligence)

Application of Visualization Methods in Neural Network Training Processes 👁️: Z Liu, K Zhang, Y Zheng, L Zheng examine neural network training visualization techniques. (2024 International Symposium on AI)

A New Era of Financial Services: How AI Enhances Investment Efficiency 💼📈: Z Liu, K Zhang, H Zhang explore AI’s role in improving investment practices. (International Studies of Economics, 2024)