Katarzyna Sieradzka | Digital Technologies | Research Excellence Award

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Dr. Katarzyna Sieradzka | Digital Technologies | Research Excellence Award

Casimir Pulaski Radom University, Poland

Dr. Katarzyna Sieradzka is a researcher and lecturer at the Department of Economics, Faculty of Economics and Finance, Casimir Pulaski University of Radom, with a PhD in Economics obtained in 2003. She is the author of numerous scientific articles and a co-author of several scientific monographs, reflecting her sustained contribution to economic research and academic scholarship. She has actively participated in many national and international scientific conferences, where she has shared research findings and engaged in interdisciplinary academic dialogue. Her research contribution to the field of entrepreneurship development focuses on identifying and analyzing the key determinants that shape business growth and long-term performance. In particular, her work examines the roles of innovation, competitiveness, corporate social responsibility, and digitalization in modern enterprises. She investigates how technological adoption, organizational capabilities, and strategic management approaches influence firm performance, adaptability, and resilience in dynamic economic environments. A significant aspect of her research explores the role of corporate social responsibility in strengthening stakeholder relationships and enhancing sustainable business practices. She also analyzes how innovation contributes to value creation and the development of competitive advantage across different sectors. Additionally, her studies address the transformative impact of digital tools on business models, decision-making processes, and operational efficiency. Through an integrated analytical approach, her research provides practical and theoretical insights into entrepreneurship dynamics. Her work supports evidence-based decision-making for managers and policymakers. Overall, her academic activities contribute to promoting sustainable entrepreneurship and inclusive economic development.

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Dr. David Hua | Artificial Intelligence | Best Researcher Award

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Dr. David Hua | Artificial Intelligence | Best Researcher Award

Ball State University, United States.

Dr. David M. Hua is an Associate Professor at the Center for Information and Communication Sciences, Ball State University. With a rich academic background and over two decades of teaching, Dr. Hua has become a pivotal figure in the intersection of technology education, cybersecurity, and higher education. He is recognized for mentoring student-led innovation and his contribution to emerging tech curricula including offensive security, private cloud infrastructure, and sustainability in IT.

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🎓 Education

Dr. Hua earned his Ed.D. in Higher Education in 2010 from Ball State University, where he also completed an MBA in Information Systems (2000) and a B.S. in Psychological Science (1991). This diverse academic foundation reflects his commitment to both technical expertise and educational leadership.

💼 Experience

Since July 20, 1998, Dr. Hua has served at Ball State University, advancing to the role of Associate Professor. He began as an Assistant Professor in 2000. His teaching spans undergraduate and graduate levels with courses ranging from cybersecurity and network configuration to cloud technologies. Beyond Ball State, his engagements with other institutions and organizations have broadened his interdisciplinary impact on both students and faculty.

🔬 Research Interests

Dr. Hua’s research interests lie at the crossroads of cybersecurity, AI in mental health surveillance, sustainable IT practices, and technology integration in higher education. He is especially passionate about leveraging machine learning to support mental health outcomes and empower student innovation through data-driven methodologies.

🏆 Awards & Mentorship

Dr. Hua has been an active mentor in various student projects, honors theses, and national competitions like the National Cyber League. He’s also served on several doctoral committees, contributing to dissertations in educational leadership and adult learning. His efforts have earned him recognition as a dedicated mentor, innovator, and academic leader.

📚 Publication

AI-Driven Mental Health Surveillance: Identifying Suicidal Ideation Through Machine Learning Techniques
📅 2025 | Big Data and Cognitive Computing
🧾 Cited by: 3 articles (as of early 2025)
👉 DOI: 10.3390/bdcc9010016