Murat Kozhanov | Digital Transformation | Industry Impact Award

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Mr. Murat Kozhanov | Digital Transformation | Industry Impact Award

Head of IT Department | Abylkas Saginov Karaganda Technical University | Kazakhstan

Mr. Murat Kozhanov is a multidisciplinary researcher whose work demonstrates a strong alignment with real-world industrial and socio-economic priorities, particularly in the fields of environmental sustainability, financial security, artificial intelligence, and digital systems. His contributions include research on improving the implementation and effectiveness of international agreements in waste management, focusing on Kazakhstan’s national context while offering globally relevant policy insights that support industrial compliance and environmental governance. His collaborative studies on financial investigations provide a deeper understanding of mechanisms to combat money laundering, enhancing the robustness of digital forensics and contributing to safer and more transparent financial ecosystems. In the domain of emerging technologies, he has co-authored significant research on applied machine learning in geophysics, bibliometric analyses, and trends in generative AI, enabling advancements in resource exploration, automation, and data-driven industrial optimization. Additionally, his work on AI-powered syllabus design and planning reveals his engagement in reshaping institutional digital transformation and strengthening competencies for technology-driven industries. Mr. Kozhanov’s research outputs, published through reputable journals and international IEEE conferences, underline his commitment to bridging academic innovation with industrial application. His interdisciplinary approach encourages improved decision-making processes, increased operational efficiencies, and long-term sustainability across environmental, cybersecurity, financial, and educational systems. Through his continued exploration of digital solutions and regulatory effectiveness, he contributes directly to industry advancement and the broader adoption of intelligent technologies, making his research impactful and relevant for various sectors undergoing rapid modernization and transformation.

Profile: Scopus | ORCID | Google Scholar

Featured Publications

Zhamiyeva, R., Sultanbekova, G., Balgimbekova, G., Mussin, K., & Kozhanov, M. (2022). Problems of the effectiveness of the implementation of international agreements in the field of waste management: The study of the experience of Kazakhstan in the context of international cooperation. International Environmental Agreements: Politics, Law and Economics, 22(1), 1–18.

Zhamiyeva, R. M., Sultanbekova, G. B., Abzalbekova, M. T., Zhakupov, B. A., & Kozhanov, M. (2022). The role of financial investigations in combating money laundering. International Journal of Electronic Security and Digital Forensics, 14(2), 1–8.

Shakhatova, A., Tolkyn, M., Gulnara, Z., Ozhigin, S., Amir, M., & Kozhanov, M. (2024). Applied machine learning in geophysics taxonomy review: Bibliometrics and trends in generative AI. In Proceedings of the 2024 IEEE 22nd Jubilee International Symposium on Intelligent Systems and Manufacturing (pp. 1–7).

Sagatbekova, D. E., Amirov, A. Zh., Seksенbaev, K., & Kozhanov, M. G. (2015). Methods and models for assessing the infrastructure of information protection systems in corporate networks of universities in Kazakhstan. Nauchnyi Almanakh, 221–224.

Kozhanov, M., Mosavi, A., Amirov, A., Kaibassova, D., Poser, V., & Shakhatova, A. (2024). Syllabus design and planning with artificial intelligence and the potential of generative AI. In Proceedings of the 2024 IEEE 24th International Symposium on Computational Intelligence and Applications (pp. 1–6).

 

Supattana Sukrat | Digital Transformation | Best Researcher Award

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Assist. Prof. Dr. Supattana Sukrat | Digital Transformation | Best Researcher Award

Assist. Prof. Dr. Supattana Sukrat | Prince of Songkla University | Thailand 

Assist. Prof. Dr. Supattana Sukratis a distinguished academic at the Faculty of Commerce and Management, Prince of Songkla University, Trang Campus. With a Ph.D. in Information Technology from King Mongkut’s University of Technology Thonburi, her expertise spans Digital Business, Digital Transformation, Social Commerce, and Management Information Technology. She has actively contributed to various research projects, including studies on digital transformation maturity models, sustainability performance, and agri-digital innovation in Thailand and Southeast Asia. Assist. Prof. Dr. Supattana Sukrat has authored influential works such as A Digital Business Transformation Maturity Model for Micro Enterprises in Developing Countries and numerous papers in the Journal of Education and Innovative Learning. Her earlier research includes frameworks for recommendation systems in social commerce and analyses of e-commerce strategies for local enterprises. With 89 citations by 87 documents, 6 publications, and an h-index of 5, she has demonstrated consistent research impact in the field of information systems and digital innovation.Assist. Prof. Dr. Supattana Sukrat dedication to integrating digital transformation into education and business development continues to shape sustainable growth and technology adoption in emerging markets.

Profiles : Scopus | Google Scholar

Sukrat, S., and Leeraphong, A. (2023). A digital business transformation maturity model for micro enterprises in developing countries. Global Business and Organizational Excellence, 00, 1–28.

Sukrat, S., and Leerapong, A. (2022). An effect of teaching and learning based on work-integrated learning and multidisciplinary instruction in digital marketing and emerging technologies subject. Journal of Education and Innovative Learning, 2(3), 205–222.

Leerapong, A., and Sukrat, S. (2022). Developing learners’ competency through project-based learning: Case study of digital marketing and management course, Faculty of Commerce and Management, Prince of Songkla University, Trang Campus. Journal of Education and Innovative Learning, 2(1), 35–49.

Sukrat, S., and Papasratorn, B. (2018). An architectural framework for developing a recommendation system to enhance vendors’ capability in C2C social commerce. Social Network Analysis and Mining, 8(1), 1–13.

Sukrat, S. (2015). Guidelines for business directions of e-commerce for OTOP. University of the Thai Chamber of Commerce Journal (Humanities and Social Sciences), 35(1), 50–64.

Prof. Jiantao Shi | Information Technology | Best Researcher Award

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Prof. Jiantao Shi | Information Technology | Best Researcher Award

Prof. Jiantao Shi, Njing Tech University, China

Prof. Jiantao Shi is a distinguished researcher in control science and information technology, currently serving as a Professor at Nanjing Tech University. He holds a Ph.D. in Control Science and Engineering from Tsinghua University and has extensive experience in multi-robot cooperative control, fault diagnosis, and UAV learning control. His research has been published in leading IEEE journals, and he has significantly contributed to distributed system reliability. With a strong academic background and practical research experience, he has advanced intelligent control methodologies for autonomous systems. His contributions have positioned him as a leader in modern automation and robotics.

🌍 Professional Profile:

ORCID

🏆 Suitability for Best Researcher Award 

Prof. Jiantao Shi is an outstanding candidate for the Best Researcher Award due to his pioneering contributions to intelligent control systems, multi-robot cooperation, and UAV learning control. His work integrates cutting-edge AI techniques with control science, enabling the development of robust and fault-tolerant autonomous systems. With over 60 high-impact journal and conference papers in prestigious IEEE and SCI-indexed publications, he has made fundamental advances in the field. His leadership in both academic and applied research underscores his influence on the next generation of intelligent automation technologies. His innovative solutions make him highly deserving of this recognition.

🎓 Education

Prof. Jiantao Shi obtained his Bachelor’s degree in Electrical Engineering and Automation from Beijing Institute of Technology in 2011. He then pursued a Ph.D. in Control Science and Engineering at Tsinghua University, earning his doctorate in 2016. His academic journey at these top institutions equipped him with expertise in control systems, automation, and intelligent sensing technologies. His doctoral research focused on advanced fault diagnosis and cooperative control of multi-agent systems. This solid educational foundation has propelled him to the forefront of intelligent control and automation, enabling him to address complex challenges in distributed autonomous systems.

💼 Work Experience

Prof. Jiantao Shi has an extensive research career spanning academia and industry. From 2016 to 2018, he worked as an Associate Research Fellow at the Nanjing Research Institute of Electronic Technology, specializing in intelligent sensing. He was promoted to Research Fellow in 2019, leading projects in autonomous systems and fault-tolerant control. Since 2021, he has been a Professor at Nanjing Tech University, where he mentors students and advances research in AI-driven control methodologies. His experience in both applied research and academia allows him to bridge theoretical advancements with real-world applications in robotics, UAVs, and industrial automation.

🏅 Awards & Honors

Prof. Jiantao Shi has received several prestigious awards recognizing his contributions to control science and automation. His research has been featured in top-tier IEEE Transactions journals, demonstrating its high impact. He has been honored with multiple best paper awards at international conferences. Additionally, his work on UAV control and multi-robot systems has been acknowledged with research grants and government funding for innovation in automation. As a key contributor to cutting-edge intelligent control systems, he continues to earn accolades for his groundbreaking contributions, positioning himself as a leading researcher in distributed autonomous system control.

🔬 Research Focus

Prof. Jiantao Shi’s research centers on advanced control methodologies for intelligent automation. His key areas of expertise include cooperative control of multi-robot systems, fault diagnosis and fault-tolerant control of distributed systems, and learning-based control of UAVs. His work integrates AI and machine learning with traditional control science to enhance system resilience and autonomy. By developing robust, intelligent algorithms, he aims to improve automation reliability in real-world applications. His research has profound implications for robotics, autonomous vehicles, and industrial automation, paving the way for next-generation intelligent systems with enhanced adaptability, efficiency, and fault resilience.

📖 Publication Top Notes 

  1. A Parallel Weighted ADTC-Transformer Framework with FUnet Fusion and KAN for Improved Lithium-Ion Battery SOH Prediction
    • Publication Year: 2025
  2. Bipartite Fault-Tolerant Consensus Control for Multi-Agent Systems with a Leader of Unknown Input Under a Signed Digraph
    • Publication Year: 2025
  3. Iterative Learning-Based Fault Estimation for Stochastic Systems with Variable Pass Lengths and Data Dropouts
    • Publication Year: 2025
  1. A Two-Stage Fault Diagnosis Method with Rough and Fine Classifiers for Phased Array Radar Transceivers
    • Publication Year: 2024
  2. An Intuitively-Derived Decoupling and Calibration Model to the Multi-Axis Force Sensor Using Polynomials Basis
    • Publication Year: 2024
  3. Event-Based Adaptive Fault Tolerant Control and Collision Avoidance of Wheel Mobile Robots with Communication Limits
    • Publication Year: 2024

 

Yency Carolina Vargas Henao | Digital Transformation | Best Researcher Award

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Yency Carolina Vargas Henao | Digital Transformation | Best Researcher Award

Mrs. Yency Carolina Vargas Henao, Université du Québec à Trois-Rivières, Canada.

Yency Carolina Vargas Henao, a master’s student in Industrial Engineering at Université du Québec à Trois-Rivières, specializes in digital transformation in greenhouse agriculture. With a bachelor’s degree in Agro-industrial Engineering from Universidad de Los Llanos, she is dedicated to advancing sustainable agricultural practices through Industry 4.0 technologies. Her research focuses on cost-benefit analysis frameworks for optimizing greenhouse operations. Yency has co-authored a scientific article on cost mapping of digital technologies in controlled agricultural environments, showcasing her expertise in CAPEX and OPEX analysis. Her innovative work contributes to smarter, more efficient, and sustainable agricultural systems. 🌐

Publication Profile

Orcid
Googlescholar

Education & Experience:

📘 Bachelor’s Degree in Agro-industrial Engineering – Universidad de Los Llanos, Colombia
📘 Master’s Degree in Industrial Engineering (In Progress) – Université du Québec à Trois-Rivières
📊 Research Focus – Cost-benefit analysis of Industry 4.0 technologies in greenhouse horticulture
💼 Professional Experience – 3 years in sustainable agricultural development and digital transformation

Suitability for the Award

Mrs. Yency Carolina Vargas Henao, a Master’s student in Industrial Engineering at Université du Québec à Trois-Rivières, excels in digital transformation research for greenhouse agriculture. With a background in Agro-Industrial Engineering, she specializes in cost analysis and the economic optimization of Industry 4.0 technologies. Her co-authored work, “Cost Mapping of Digital Technologies in Greenhouses,” highlights her contributions to mapping CAPEX and OPEX, aiding strategic adoption of IoT, AI, and big data solutions. Yency’s research offers practical frameworks for enhancing efficiency, sustainability, and profitability in agriculture, positioning her as a deserving candidate for the Best Researcher Award.

Professional Development

🔍 Yency’s professional development centers on leveraging advanced technologies to improve agricultural systems. She has mapped cost structures for Industry 4.0 technologies, highlighting CAPEX and OPEX elements, and developed strategies to integrate IoT, AI, and big data for sustainable greenhouse operations. Her work emphasizes optimizing year-round agricultural productivity, especially during high-energy consumption periods, promoting environmentally responsible practices. Yency’s co-authored research on digital cost mapping in agriculture aids stakeholders in strategic decision-making, ensuring technological adoption is both economically viable and sustainable. 🌿💡

Research Focus

🌐 Yency’s research focuses on the digital transformation of greenhouse agriculture through Industry 4.0 technologies. Her work examines integrating IoT, AI, and big data to enhance efficiency and sustainability. She explores the economic implications of adopting smart agricultural technologies, providing a cost-benefit analysis framework. Her research addresses key challenges, offering strategic solutions for optimizing operations during high-energy consumption periods, ensuring both productivity and environmental sustainability. Yency’s insights contribute to the evolution of precision agriculture, aiming to make advanced technology more accessible and impactful in agricultural systems. 🌱📊

Publication Highlights

  • A Comprehensive Cost Mapping of Digital Technologies in Greenhouses (2023)