Ying-Chih Sun | Business Intelligence and Analytics | Best Researcher Award

Assist Prof Dr. Ying-Chih Sun | Business Intelligence and Analytics | Best Researcher Award

Assist Prof Dr. Ying-Chih Sun at East Central University, United States

👨‍🎓Professional Profiles

đź“š Summary

Dr. Ying-Chih Sun is an Assistant Professor of Business Administration – Information Technology Management at East Central University. With a Ph.D. in Information Systems Engineering and Management and a strong academic background in economics, data analytics, and IT management, his research focuses on AI applications in healthcare, telehealth, and supply chain management. He is passionate about integrating business analytics with IT solutions to improve operational efficiencies across industries.

🎓 Education

Dr. Sun holds a Ph.D. in Information Systems Engineering and Management (ISEM) from Harrisburg University of Science and Technology (2023), where he graduated with a perfect 4.0 GPA. He also earned M.S. degrees in Economics from the University at Buffalo (2018) and Texas A&M University (2010), and an M.B.A. in Applied Economics (Summa Cum Laude) from National Taiwan Ocean University (2005). He completed his undergraduate studies in International Trade at Tamkang University (2003).

đź’Ľ Professional Experience

Dr. Sun is currently serving as an Assistant Professor at East Central University, teaching courses in Business Economics, Data Analytics, and Cloud Management. Before this, he was an Assistant Professor in Residence at Bradley University (2023-2024), where he contributed to research and teaching in business analytics. He also worked as a Research Assistant at Harrisburg University (2019-2023), conducting research on telehealth and healthcare delivery. Previously, he served as an IT Research Data Analyst at SUNY Buffalo and held roles at the Institute of Economics, Academia Sinica and Tri-Service General Hospital in Taiwan.

đź“ť Academic Publications & Conferences

Dr. Sun has presented at major conferences like the DSI Conference 2024, AMCIS 2024, and MWAIS 2024. His research papers focus on a range of topics, including telehealth efficiency, AI in healthcare, digital reputation in business schools, and supply chain optimization. His recent work on “Evaluating Telehealth Efficiency” and “Enhancing Judicial Decision-Making with AI” exemplifies his interdisciplinary approach to solving complex business and healthcare challenges.

đź’» Technical Skills

Dr. Sun possesses advanced proficiency in data analytics tools like SQL, STATA, and Excel for statistical modeling and large data analysis. He is also familiar with Python and has hands-on experience in cloud management and telehealth technology. His technical skills enable him to approach research from both an analytical and technological perspective, focusing on improving efficiency in healthcare and business operations.

👨‍🏫 Teaching Experience

Dr. Sun has extensive teaching experience, having taught courses at East Central University (2024-present) in Business Economics, Data Analytics, and Cloud Management. He previously taught at Bradley University (2023-2024), covering Business Analytics and Business Analytics Software. Additionally, during his time at SUNY at Buffalo (2015-2018), he served as a Grader and Teaching Assistant for various econometrics courses and contributed to graduate-level teaching in Computational Econometrics.

🔬 Research Interests

Dr. Sun’s primary research interests lie at the intersection of AI, telehealth, and business analytics. He explores how data-driven decision-making can enhance healthcare delivery and operational efficiency, with a focus on telemedicine applications and the use of machine learning for healthcare and business management. His work on optimizing AI investments and supply chain management has important implications for improving cost-effectiveness and decision-making in businesses and healthcare systems.

 

đź“– Top Noted Publications

A stochastic production frontier model for evaluating the performance efficiency of artificial intelligence investment worldwide

Authors: Sun, Y.-C., Cosgun, O., Sharman, R., Mulgund, P., Delen, D.
Journal: Decision Analytics Journal
Year: 2024

The impact of policy and technology infrastructure on telehealth utilization

Authors: Sun, Y.-C., Cosgun, O., Sharman, R.
Journal: Health Services Management Research
Year: 2024

The Effect of Varying User Risk Levels on Perceived Social Presence in Mental Health Chatbots

Authors: Thimmanayakanapalya, S.S., Singh, R., Mulgund, P., Sun, Y.-C., Sharman, R.
Conference: 29th Annual Americas Conference on Information Systems (AMCIS 2023)
Year: 2023

Francesco Scala – Active Learning – International Data Evolution Achievement Award 

Dr. Francesco Scala - Active Learning - International Data Evolution Achievement Award 

Unical University  - Italy

Author Profile 

Early Academic Pursuits

Dr Francesco Scala, born on September 14, 1991, in Cirò, Italy, embarked on his academic journey with a strong foundation in engineering. He obtained his Laurea Magistrale in Ingegneria Informatica (Master's in Computer Engineering) from the University of Calabria in April 2018, showcasing proficiency in various fields, including agent-based programming, video game development, artificial intelligence, and embedded systems.

His academic journey continued with a Ph.D. in Information and Communication Technologies at the same institution, focusing on machine learning (ML) and deep learning (DL), with a particular emphasis on active learning. Francesco's research during his Ph.D. involved developing models and algorithms to optimize office processes, demonstrating his commitment to practical applications of his academic pursuits.

Professional Endeavors

Dr Francesco's professional career is marked by a diverse range of experiences, spanning academia and industry. Notably, he served as a Borsista di Ricerca (Research Fellow) at the University of Calabria, actively contributing to a startup-focused research project aimed at modeling and optimizing office processes.

His roles as a Ph.D. student, Professor, and Assegnista di Ricerca (Research Fellow) showcased his versatility. Francesco's contributions extended to the European energy market, where he played a key role in developing predictive models for electricity markets. His work included forecasting prices, consumption, and market coupling flow based on meticulous research.

In the corporate sector, Francesco demonstrated his skills as a Mobile App Developer and Web Platform Designer, contributing to projects involving Unity, iOS development, and web application creation. His involvement with various technologies and frameworks underscores his proficiency in the software development landscape.

Contributions and Research Focus

Dr Francesco's academic contributions extend beyond his roles. His research papers, conference papers, and articles have been featured in renowned publications and conferences, showcasing his expertise in areas like probabilistic argumentation frameworks, active learning, and forecasting energy production with uncertainty quantification.

His research focus also extends to the development of machine learning tools and frameworks, including Keras, TensorFlow, PyTorch, and Scikit-learn. His deep understanding of these tools is complemented by his practical experience in implementing algorithms, as evidenced by his work on the ABOD algorithm in C and Assembly.

Accolades and Recognition

Dr Francesco's academic and professional achievements are reflected in accolades such as an H-index of 2 in Scopus and an ORCID iD (0009-0007-5224-0910). These metrics underscore the impact of his research and scholarly contributions.

Impact and Influence

Dr Francesco's influence is not limited to academia. His development of various mobile apps, web platforms, and video games has left a mark on the industry. The SmartGlasses project, iOS apps, and participation in Global Game Jams showcase his innovative approach to technology.

Legacy and Future Contributions

As of February 2024, Francesco Scala continues to make strides in academia and industry. His legacy includes a wealth of knowledge in machine learning, active learning, and software development. Looking ahead, Francesco is poised to contribute further to these fields, potentially leaving a lasting impact on the intersection of technology and human experiences.

In conclusion, Francesco Scala's journey from early academic pursuits to his current professional endeavors reflects a commitment to excellence, innovation, and the practical application of cutting-edge technologies. His impact on the fields of machine learning, active learning, and software development is evident in his extensive body of work and contributions to both academia and industry.

Notable  PublicationsÂ