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.

Mr. Yixiang Zhang | Cybersecurity | Best Researcher Award

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Yixiang Zhang | Cybersecurity | Best Researcher Award

Yixiang Zhang, Huazhong University of Science and Technology, China

Zhang Yixiang 🎓 is a passionate researcher in cybersecurity, backend systems, and large language models (LLMs). A CPC member 🇨🇳 and top-ranking postgraduate student at Huazhong University of Science and Technology 🏫, he combines academic excellence with strong practical experience. He has led innovative R&D efforts in open-source algorithm evaluation, security assessments, and intelligent penetration testing 🤖. Zhang is skilled in Python, C++, LangChain, and vLLM, and has earned top national honors 🏆 for his contributions. With a curious mindset, strong adaptability, and a solid foundation in machine learning and security, he aims to solve complex challenges in cyberspace security 🔐.

Professional profile :

Orcid

Suitability for Best Researcher Award :

Zhang Yixiang exemplifies the qualities of a top-tier early-career researcher in the fields of cybersecurity,backend systems, and large language models (LLMs). As a top-ranking postgraduate student at Huazhong University of Science and Technology and a member of the Communist Party of China (CPC), he has demonstrated both academic excellence and a commitment to national scientific advancement. His profile reflects a strong blend of theoretical knowledge, technical innovation, and real-world impact, which are key attributes sought in a Best Researcher Award recipient.

Education & Experience :

🎓 Education:

  • 🏫 Huazhong University of Science and Technology (2023–2026)
    Master’s in Cyberspace Security | Top 25% | Advisor: Prof. Fu Cai
    🏅 First-Class Scholarship | 🏆 “Challenge Cup” National Winner

  • 🏫 Zhengzhou University (2019–2023)
    Bachelor’s in Information Security | Top 5%
    🏅 National Endeavor Scholarship | 🏅 First-Class Scholarship
    👨‍🎓 Outstanding Student & Youth League Cadre

💼 Experience:

  • 🧠 Open Source Algorithm Evaluation Engineer, Wuhan Jinyinhu Lab (2024–2025)
    🛠️ Platform Design | 📊 Document Optimization | 🧭 Strategic Planning

  • 💻 Backend Engineer, Institute of Software, Chinese Academy of Sciences (2024–2025)
    📐 Security Evaluation | 📄 Readability Modeling | 🧪 Standard Development

Professional Development :

Zhang Yixiang continues to evolve professionally through hands-on R&D projects in cybersecurity, backend infrastructure, and open-source intelligence 🧠. He has contributed to national-level platforms and collaborated with leading institutions like the Chinese Academy of Sciences 🏢. Proficient in LLM development frameworks like LangChain and vLLM, he actively refines models for risk detection, software component analysis, and AI-driven security auditing 🔍. His commitment to practical innovation is matched by academic rigor, with one patent filed and a top-tier journal paper under review 📄. Zhang thrives in fast-paced environments, always seeking to bridge cutting-edge tech with real-world security applications 🌐.

Research Focus :

Zhang Yixiang’s research centers around cyberspace security, LLM applications, and AI-driven algorithm optimization 🔐🤖. His projects include developing penetration testing frameworks, secure open-source evaluation platforms, and advanced detection algorithms for binary code analysis 🧬. He combines multi-agent systems and retrieval-augmented generation (RAG) architectures to improve automation and decision-making in security systems 🤝. His approach integrates deep learning methods, such as LSTM and PSO-optimized random forests, with practical applications like DDoS detection and open-source risk analysis 📊. Zhang’s interdisciplinary research bridges backend engineering, AI model fine-tuning, and cybersecurity intelligence to tackle complex, real-world digital threats 🚨.

Awards & Honors :

  • 🥇 First Prize, National “Challenge Cup” Innovation Competition (2024)

  • 🥇 First Prize, Challenge Cup – Special Project Division (2024)

  • 🥇 First Prize, 15th Provincial Computer Design Competition (2022)

  • 🥈 Second Prize, ICM/MCM U.S. Mathematical Modeling Competition (2021)

  • 🥉 Third Prize, APMCM Asia-Pacific Modeling Contest (2020)

  • 🏅 First-Class Academic Scholarship (2023, 2022)

  • 🏅 National Endeavor Scholarship (Zhengzhou University)

  • 🏅 Excellent Student Leader & Youth League Cadre

Publication Top Notes : 

Title: BinCoFer: Three-stage purification for effective C/C++ binary third-party library detection

Journal of Systems and Software, May 2025
DOI: 10.1016/j.jss.2025.112480
ISSN: 0164-1212

Citation (APA Style):
Zou, Y., Z., Y., Zhao, G., Wu, Y., Shen, S., & Fu, C. (2025). BinCoFer: Three-stage purification for effective C/C++ binary third-party library detection. Journal of Systems and Software, 112480. https://doi.org/10.1016/j.jss.2025.112480

Conclusion :

Zhang Yixiang stands out as a forward-looking, innovative researcher whose work aligns closely with the mission of the Best Researcher Award—to recognize exceptional contributions that advance scientific understanding and practical impact. His achievements in cybersecurity and LLM integration, combined with national recognition and hands-on leadership in cutting-edge projects, make him a compelling nominee. His trajectory suggests continued excellence and influential contributions to the field, justifying his selection for this prestigious honor.

Dr. Shuhao Shen | Cybersecurity | Best Researcher Award

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Shuhao Shen | Cybersecurity | Best Researcher Award

Shuhao Shen, Huazhong University of Science and Technology, China

Shuhao Shen is a dedicated Ph.D. student in Cyberspace Security at Huazhong University of Science and Technology (HUST) 🎓. As a member of Professor Cai Fu’s team, he focuses on cutting-edge areas such as binary vulnerability detection, graph neural networks (GNNs), and large language model (LLM) applications 🤖. Shuhao ranks in the top 25% of his Ph.D. cohort and previously ranked 12th during his undergraduate studies. He has contributed to national-level cybersecurity projects and collaborated with QiAnXin Group on binary component analysis 🛡️. Known for his diligence, curiosity, and adaptability, Shuhao aspires to lead in cybersecurity innovation 🚀.

Professional profile :

Orcid

Suitability for Best Researcher Award :

Shuhao Shen is a promising Ph.D. researcher at Huazhong University of Science and Technology (HUST), actively contributing to the fields of binary vulnerability detection, graph neural networks (GNNs), and large language model (LLM) applications. His work addresses some of the most pressing challenges in cybersecurity, including the secure analysis of binary components—an area critical to national infrastructure and digital defense. His academic performance, demonstrated by being in the top 25% of his Ph.D. cohort and previously ranking 12th in his undergraduate class, reflects consistent excellence and intellectual rigor.

Education & Experience :

🎓 Ph.D. in Cyberspace Security — Huazhong University of Science and Technology (HUST)
📍 Wuhan, China | ⏳ Sep 2023 – Jun 2028 (Expected)

  • 🧑‍🏫 Under Prof. Cai Fu’s supervision

  • 🏅 Top 25% in academic ranking

  • 🎖️ First-Class Academic Scholarship (2023)

🎓 Bachelor’s in Cyberspace Security — HUST
📍 Wuhan, China | ⏳ Sep 2020 – Jun 2024 (Expected)

  • 🏅 Ranked 12th in major

  • 🏆 Honors: Outstanding Student Cadre, Excellent Communist Youth League Cadre

💼 Algorithm Engineer Intern — Wuhan CGCL Lab
📍 Wuhan, China | ⏳ Jul 2023 – Dec 2024

  • 🔍 Focus on graph neural networks and binary vulnerability detection

  • 🤝 Collaboration with QiAnXin Group and national-level LLM projects

Professional Development :

Shuhao Shen has developed strong skills in Python 🐍 and C++ 💻, mastering deep learning frameworks and tools like LangChain and vLLM for large model deployment. He’s proficient with vulnerability detection tools such as angr 🛠️ and IDA Pro 🧠, allowing him to design efficient rule-based and AI-assisted detection schemes. His hands-on experience includes publishing in the Journal of Systems and Software and contributing to significant projects involving binary analysis 🔬, function embedding, and open-source component recognition 🧩. Shuhao’s balanced skill set and real-world project exposure position him for continued growth in advanced cybersecurity development 🔐.

Research Focus :

Shuhao Shen’s research is centered on cyberspace security 🔐, particularly in binary vulnerability detection, graph neural networks (GNNs) 🌐, and large language models (LLMs) 🤖 for software analysis. His recent work includes utilizing angr and IDA Pro for binary feature extraction and applying function embeddings for open-source component detection in C/C++ binaries 🧩. He is actively exploring the intersection of machine learning and cybersecurity, aiming to create intelligent, automated vulnerability detection systems 🔍. His research aligns with next-generation software supply chain protection, secure development environments, and AI-augmented security tools 🚀.

Awards & Honors :

🏆 National First Prize – Undergraduate Innovation and Entrepreneurship Program (Nov 2023)
🎖️ First-Class Academic Scholarship – HUST (2023)
🎓 Outstanding Student Cadre – HUST
📣 Excellent Communist Youth League Cadre – HUST

Publication Top Notes : 

Title:  BinCoFer: Three-stage purification for effective C/C++ binary third-party library detection

Author: Shuhao Shen
Publication Type: Journal article
Citation (placeholder): Shen, S. (Year). BinCoFer: Three-stage purification for effective C/C++ binary third-party library detection. Journal Name, Volume(Issue), pages. DOI

Conclusion :

Shuhao Shen demonstrates the research depth, technical innovation, and real-world impact that align perfectly with the goals of the Best Researcher Award. His advanced work in cybersecurity, particularly in leveraging AI to tackle binary vulnerabilities, is not only timely but also critical in an era of escalating digital threats. Given his contributions to both academic and industrial spheres, Shuhao is well-positioned to become a future leader in cybersecurity research, making him a highly deserving candidate for this recognition.

Mr. GEORGIOS ADAM | Digital Transformation | Industry Impact Award

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GEORGIOS ADAM | Digital Transformation | Industry Impact Award

GEORGIOS ADAM, University of Piraeus, Greece

Adam Georgios 🎓 is a Ph.D. candidate in Business Administration at the University of Piraeus and a seasoned expert in digital and shopper marketing. With a strong academic foundation in economic strategy and regional development, he currently serves as Digital Transformation Manager at Sarantis Group 🚀. Adam has steadily advanced through roles in marketing and business analysis, reflecting a deep understanding of consumer behavior and strategic implementation. His academic contributions include research on digital transformation in retail 🛒. Outside of work, Adam enjoys music 🎶 and free diving 🌊, showcasing a balanced blend of analytical rigor and creative passion.

Professional profile :

Google Scholar

Suitability for Best Researcher Award :

Adam Georgios is a Ph.D. candidate in Business Administration with a focused research interest in digital transformation in retail, a domain highly relevant in today’s rapidly evolving business landscape. His dual role as an academic researcher and industry professional (Digital Transformation Manager at Sarantis Group) gives him a unique advantage in producing applied, impactful research. He effectively bridges theoretical frameworks with real-world applications, contributing to both scholarly knowledge and practical innovation.

Education & Experience :

🎓 Education :

  • 📘 Ph.D. Candidate, Business Administration – University of Piraeus (2022–Present)

  • 🎓 MSc, Economic and Business Strategy – University of Piraeus (2014–2016, Distinction)

  • 🏛️ BSc, Economic and Regional Development – Panteion University (2006–2010)

💼 Professional Experience :

  • 📍 Digital Transformation Manager – Sarantis Group (2023–Present)

  • 🛍️ Shopper Marketing Manager – Sarantis Group (2019–2023)

  • 🛒 Shopper Marketing Assistant – Sarantis Group (2016–2019)

  • 📊 Business Analyst – WIND Hellas (2015–2016)

  • 🗂️ Executive Assistant – BRINKS HELLAS (2013–2014)

  • 🧾 Cashier Sales Associate – HLEKTRONIKH (2012)

  • 🧸 Sales Representative & Merchandiser – JUMBO (2011–2012)

Professional Development :

Adam Georgios continually enhances his expertise through targeted training and professional development 📚. He has completed seminars in shopper-centric category management 🛍️, financial services 💰, and governance in economic performance 📈. His proficiency spans various tools including SAP, SPSS Modeler, and Nielsen databases, equipping him with advanced data analysis and ERP skills 💻. Adam also holds a Certificate of English Language Proficiency 🇬🇧. His tech-savviness and commitment to lifelong learning make him a strong asset in digital innovation initiatives 🌐. These efforts reflect his drive to lead transformative projects with both strategic depth and operational agility ⚙️.

Research Focus :

Adam Georgios focuses his research on Digital Transformation Strategies within the Retail Value Chain 🛒💡. His doctoral work and publications explore how companies can effectively integrate technology to enhance performance, customer experience, and competitive advantage. Adam investigates models that align digital tools with business objectives, considering factors like consumer trends, innovation adoption, and cost differentiation 📊. His MSc dissertation analyzed best-cost and differentiation strategies of leading Greek retailers 🏪. Through his academic and industry experience, he bridges the gap between theory and real-world application, contributing valuable insights to the evolving digital commerce ecosystem 🌍📱.

Awards & Honors :

  • 🏆 MSc Degree with Distinction – University of Piraeus

  • 🏅 Ph.D. Candidature Awarded – Department of Business Administration, University of Piraeus

Publication Top Notes : 

Title: Strategies for Shaping and Implementing Digital Transformation in the Retail Value Chain

Citation (APA Style):
Adam, G., & Kopanaki, E. (2025). Strategies for Shaping and Implementing Digital Transformation in the Retail Value Chain. Procedia Computer Science, 256, 504–512.

Conclusion :

While Adam is still in the doctoral phase of his academic journey, his track record of research aligned with high-impact industry practices, combined with a clear focus on digital transformation, makes him a strong contender for the Best Researcher Award—particularly within emerging researcher or industry-focused research categories. With continued publication and academic engagement, he is well-positioned to become a leading figure in business research.