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

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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

Fatemeh Shah-Mohammadi | Clinical Data Science | Best Researcher Award

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Dr. Fatemeh Shah-Mohammadi | Clinical Data Science | Best Researcher Award

Dr. Fatemeh Shah-Mohammadi at University of Utah, United States

 Professional Profiles👨‍🎓

 Early Academic Pursuits 🎓

Dr. Fatemeh Shah-Mohammadi completed her Master of Science in Electrical and Communication Engineering at Birjand University of Technology, where she laid the groundwork for her expertise in engineering and technology. She then pursued her PhD at Rochester Institute of Technology, specializing in Machine Learning. Her dissertation focused on “Machine Learning-enabled Resource Allocation in Underlay Cognitive Radio Networks,” demonstrating her commitment to applying advanced technologies in innovative ways.

Professional Endeavors đź’Ľ

Dr. Shah-Mohammadi currently serves as a Research Assistant Professor of Biomedical Informatics at the University of Utah, where she applies her skills in health informatics and clinical data science. Her professional journey includes significant roles as a Biostatistician II/NLP Engineer at Mount Sinai Health System and a postdoctoral fellow at the Icahn School of Medicine. These experiences have equipped her with a robust foundation in data analysis and machine learning applications across diverse domains.

Contributions and Research Focus 🔍

Dr. Shah-Mohammadi’s research primarily centers on the intersection of health informatics and machine learning. She has developed machine learning models that leverage cross-domain datasets to improve clinical outcomes. Notable projects include NLP-assisted pipelines for clinical note analysis and differential diagnosis, highlighting her dedication to enhancing healthcare delivery through technology.

Impact and Influence 🌍

Dr. Shah-Mohammadi’s work has significant implications for health informatics, particularly in the use of natural language processing (NLP) for clinical applications. Her publications in respected journals, such as the IEEE Open Journal of the Communications Society and Studies in Health Technology and Informatics, showcase her contributions to advancing knowledge in this field. Her research efforts aim to reduce diagnostic uncertainty and improve patient care outcomes, underscoring her influence in biomedical informatics.

Academic Cites đź“š

Dr. Shah-Mohammadi’s scholarly output includes multiple peer-reviewed articles that have garnered citations and recognition within the academic community. Her ORCID and Google Scholar profiles further highlight her impact, showcasing a growing body of work that contributes to the fields of health informatics and machine learning.

Technical Skills 🛠️

Dr. Shah-Mohammadi is proficient in various technical areas, including:

  • Machine Learning and Data Science
  • Natural Language Processing
  • Statistical Analysis
  • Software Development for Biomedical Applications Her expertise enables her to build and implement sophisticated models that address real-world clinical challenges.

Teaching Experience 👩‍🏫

As an instructor at the University of Utah, Dr. Shah-Mohammadi teaches courses like “Generative AI in Healthcare” and “Intro to Programming.” Her teaching philosophy emphasizes the integration of cutting-edge technology with foundational principles, preparing students for future challenges in biomedical informatics.

Grants and Funding đź’°

Dr. Shah-Mohammadi has actively sought and secured funding for her research initiatives. As the Principal Investigator for a project on automated live meta-analysis of clinical outcomes using generative AI, she demonstrates leadership in advancing research in health informatics. Her involvement as a co-investigator in various projects further highlights her collaborative spirit and dedication to impactful research.

Legacy and Future Contributions 🌟

Looking ahead, Dr. Shah-Mohammadi aims to continue her work at the forefront of health informatics, leveraging machine learning and NLP to drive innovations in clinical practice. Her commitment to research, teaching, and community engagement positions her as a leading figure in the field, poised to make lasting contributions to both academia and healthcare.

📖 Top Noted Publications 

 Addressing Semantic Variability in Clinical Outcome Reporting Using Large Language Models

Authors: Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: BioMedInformatics
Year: 2024

 Extraction of Substance Use Information From Clinical Notes: Generative Pretrained Transformer–Based Investigation

Authors: Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: JMIR Medical Informatics
Year: 2024

Accuracy Evaluation of GPT-Assisted Differential Diagnosis in Emergency Department

Authors: Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: Diagnostics
Year: 2024

Neural Network Cognitive Engine for Autonomous and Distributed Underlay Dynamic Spectrum Access

Authors: Fatemeh Shah-Mohammadi, Hatem Hussein Enaami, Andres Kwasinski
Journal: IEEE Open Journal of the Communications Society
Year: 2021

 NLP-Assisted Differential Diagnosis of Chronic Obstructive Pulmonary Disease Exacerbation

Authors: Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: Studies in Health Technology and Informatics
Year: 2024

Using Electronic Medical Records and Clinical Notes to Predict the Outcome of Opioid Treatment Program

Authors: W Cui, Fatemeh Shah-Mohammadi, Joseph Finkelstein
Journal: Healthcare Transformation with Informatics and Artificial Intelligence
Year: 2023

Oluwasogo Adediran – Agricultural Data Analysis – Best Researcher Award 

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Dr. Oluwasogo Adediran - Agricultural Data Analysis - Best Researcher Award 

Covenant University - Nigeria

Author Profile

Early Academic Pursuits

Dr. Oluwasogo Adediran's academic journey began with his Bachelor of Science in Education (B.Sc. Ed.) with Honors in Economics from Olabisi Onabanjo University in 2005. Building upon this foundation, he pursued his Master of Science (M.Sc.) in Economics at Covenant University in 2012, showcasing a commitment to furthering his understanding of economic principles. This dedication culminated in the attainment of his Doctor of Philosophy (Ph.D.) in Economics from the same institution in 2018, where he graduated with Distinction, a testament to his academic prowess and commitment to excellence.

Professional Endeavors

Throughout his career, Dr. Adediran has held various academic and research positions, demonstrating his versatility and expertise in the field of economics. He has served as a Lecturer and Researcher at Covenant University since 2013, where he has made significant contributions to both teaching and research. Additionally, he has undertaken roles such as Postdoctoral Research Fellow at the Centre for Economic Policy & Development Research (CEPDeR) and Examination Officer in the Department of Economics and Development Studies.

Contributions and Research Focus On Agricultural Data Analysis

Dr. Adediran's research interests span a wide array of topics within economics, including International Economics, Macroeconomics, Applied Econometrics, Agricultural Value Chains and Food Security, Financial Economics, Development Economics, and Sustainable Development. He has actively engaged in funded research projects, both as an individual and as part of collaborative teams, aiming to address pressing issues facing Africa's development.

With over 70 published articles and conference proceedings, many of which are featured in high-impact journals indexed in Web of Science and Scopus, Dr. Adediran has established himself as a prolific and respected researcher in the field. His work often delves into African Development Issues (ADI), contributing valuable insights to the global discourse on sustainable development and economic growth.

Accolades and Recognition

Dr. Adediran's contributions to academia have been recognized through numerous awards and fellowships. Notably, he was awarded The World Academy of Science – Deutsche Forschungsgemeinschaft (TWAS-DFG) Cooperation Visit Programme Research Grant, highlighting his international recognition and collaboration in advancing scientific research. His Visiting Scholar position at the Faculty of Management and Economics, Universität Witten/Herdecke (UW/H), Germany, further underscores his standing as a distinguished academic.

Impact and Influence

Dr. Adediran's impact extends beyond his research endeavors. He has been actively involved in teaching and mentoring students, guiding them in their academic pursuits and fostering a new generation of economists. Additionally, his editorial engagements as an Article Editor and Reviewer for various prestigious journals contribute to maintaining academic rigor and quality within the field.

Legacy and Future Contributions

As Dr. Adediran continues to excel in his academic and research pursuits, his legacy is one of scholarly excellence and commitment to addressing socio-economic challenges in Africa and beyond. Through his ongoing research on 'Finance for Sustainable Energy,' he aims to contribute to the achievement of Sustainable Development Goal 7 in Sub-Saharan Africa, showcasing his dedication to advancing sustainable development initiatives. With his continued leadership and contributions, Dr. Adediran is poised to leave a lasting impact on the field of economics and the broader academic community.

Citations

A total of 574 citations for his publications, demonstrating the impact and recognition of her research within the academic community.

  • Citations    574
  • h-index       15
  • i10-index    17

Notable Publication

 

 

Marlia Morsin – Innovation in Data Analysis – Best Researcher Award 

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Assist Prof Dr. Marlia Morsin - Innovation in Data Analysis - Best Researcher Award 

Universiti Tun Hussein Onn Malaysia - Malaysia 

Author Profile

Early Academic Pursuits

Assoc. Prof. Dr. Marlia binti Morsin's journey in academia began with a strong foundation in engineering, starting with her Bachelor of Computer Engineering from Universiti Teknologi Malaysia in 2002. This laid the groundwork for her subsequent academic pursuits. She furthered her education with a Master of Electrical Engineering from Kolej Universiti Teknologi Tun Hussein Onn in 2004, demonstrating her commitment to advancing her knowledge in the field. Her academic journey reached its pinnacle with a Doctor of Philosophy in Micro and Nanoelectronic Engineering from Universiti Kebangsaan Malaysia in 2014, solidifying her expertise in her chosen area of specialization.

Professional Endeavors

Assoc. Prof. Dr. Marlia's professional endeavors have been diverse and impactful, spanning both academia and research. Her appointment as an Associate Professor and Head of Centre at the Institute for Integrated Engineering showcases her leadership capabilities and her pivotal role in shaping the academic landscape. With a comprehensive teaching portfolio that includes courses such as Microelectronic Engineering Laboratory and Analog Electronics, she has contributed significantly to nurturing the next generation of engineers. Moreover, her supervision of numerous graduate and undergraduate students underscores her dedication to fostering research excellence.

Contributions and Research Focus On Innovation in Data Analysis

Assoc. Prof. Dr. Marlia's research interests primarily revolve around nanomaterials and optical sensors, reflecting her commitment to cutting-edge advancements in the field of electronic engineering. Her pioneering work in the synthesis and application of gold nanostructures for sensing purposes has garnered considerable attention. Noteworthy contributions include the development of plasmonic sensors for detecting glucose and pesticides, showcasing the practical applications of her research in addressing real-world challenges. Furthermore, her exploration of novel materials such as MXene nanosheets highlights her innovative approach to problem-solving in biomedical applications.

Accolades and Recognition

Assoc. Prof. Dr. Marlia's contributions have been recognized through a myriad of awards and accolades, underscoring her standing as a prominent figure in her field. Awards such as the Malaysia Technology Expo 2023 (MTE2023) Silver and the Virtual Research and Innovation EREKA 2022 Gold serve as testament to her innovative research endeavors. Additionally, her receipt of the Excellent Service Awards and Human Resource Development Panel Special Award underscores her multifaceted contributions, not only in research but also in service and leadership within the academic community.

Impact and Influence

Assoc. Prof. Dr. Marlia's research output, as evidenced by her extensive publication record and intellectual property portfolio, has made a significant impact on the scientific community. Her work has been published in prestigious journals and has been cited numerous times, reflecting its relevance and influence within the academic sphere. Furthermore, her involvement in professional consultation and supervision of research projects has extended her influence beyond academia, fostering collaboration and knowledge exchange with industry partners and students alike.

Legacy and Future Contributions

Assoc. Prof. Dr. Marlia's legacy lies in her relentless pursuit of excellence in research and education, coupled with her commitment to leveraging technology for societal benefit. Her pioneering work in nanomaterials and sensor development has paved the way for future advancements in electronic engineering, with implications for fields ranging from healthcare to environmental monitoring. As she continues to mentor the next generation of researchers and engineers, her impact on the academic and scientific community is poised to endure, shaping the trajectory of innovation for years to come.

Citations

A total of 711 citations for his publications, demonstrating the impact and recognition of her research within the academic community.

  • Citations    711
  • h-index        17
  • i10-index    11

Notable Publication