Jingquan Li | Records | Best Researcher Award

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Dr. Jingquan Li | Records | Best Researcher Award

Associate Professor at Hofstra University, United States

Dr. Jingquan Li is a distinguished academic with a broad range of expertise in computer science, business administration, and information technology. Dr. Li’s academic journey includes a Doctor of Philosophy in Business Administration with a supporting area in Computer Science (Artificial Intelligence and Data Science) from the University of Illinois at Urbana-Champaign, a Master of Science in Manufacturing Management from the College of Business and Innovation at the University of Toledo, and a Bachelor of Engineering in Computer Engineering from Xi’an Jiaotong University. With over a decade of experience in academia, Dr. Li has held various teaching positions, including Associate Professor at Hofstra University, Tenured Associate Professor at Texas A&M University-San Antonio, and Assistant Professor at both Texas A&M University-San Antonio and Texas A&M University-Kingsville. Dr. Li’s teaching portfolio includes a diverse range of courses such as Information Systems in Organizations, Business Analytics, and Data Mining and Text Mining.

Profile:

Education

Dr. Jingquan Li holds a Doctor of Philosophy in Business Administration with a supporting area in Computer Science (Artificial Intelligence and Data Science) from the University of Illinois at Urbana-Champaign, earned in 2004. Prior to this, Dr. Li completed a Master of Science in Manufacturing Management at the College of Business and Innovation, University of Toledo, in 1997. Dr. Li’s academic journey began with a Bachelor of Engineering in Computer Engineering from the School of Electronic and Information Engineering at Xi’an Jiaotong University, obtained in 1987. Dr. Li’s educational background reflects a strong foundation in both business administration and computer science, with a focus on information systems, artificial intelligence, and data science.

Work Experience:

Dr. Jingquan Li has an extensive academic and professional background. Since September 2017, Dr. Li has served as an Associate Professor at Hofstra University in New York. Prior to joining Hofstra, from September 2010 to August 2017, Dr. Li held the position of Tenured Associate Professor at Texas A&M University-San Antonio in Texas. Before achieving tenure, Dr. Li was an Assistant Professor at Texas A&M University-San Antonio from September 2009 to August 2010 and at Texas A&M University-Kingsville from September 2004 to August 2009. Dr. Li’s academic positions are complemented by substantial professional experience as a Computer Engineer at the North China Institute of Computing Technology in Beijing, China, from 1987 to 1995. This combined background has equipped Dr. Li with a comprehensive understanding of both academia and industry, enriching their teaching and research endeavors.

Teaching Interest:

Dr. Jingquan Li’s teaching portfolio encompasses a wide array of courses focused on computer concepts and software tools in business. These include courses such as Information Systems in Organizations, Business Analytics, Database Management, Systems Analysis and Design, Big Data Management, Data Mining and Text Mining, Data Visualization, Machine Learning and Deep Learning, Enterprise Systems, Telecommunications and Networking, Information Security and Privacy, Cyber Security, Programming Languages, and Health Informatics. Dr. Li’s expertise in these areas is underpinned by their academic background and professional experience, making them a versatile and knowledgeable educator in the field of computer science and business administration.

Research Interest:

Dr. Jingquan Li’s expertise extends across a broad spectrum of specialized topics within the realm of computer science and business administration. Dr. Li’s proficiency includes Information Security and Privacy, Cybersecurity, Business Analytics, Big Data Management, Data Mining and Text Mining, Online Social Networks, Health Information Technology, AI Ethics, public health management and policy, and the Economics of Information Sharing. This diverse range of subjects underscores Dr. Li’s comprehensive understanding of the intersection between technology and business, making them a valuable resource in academia and beyond.

Research and Grants:

Dr. Jingquan Li has secured a diverse range of grants and research funding throughout their career, demonstrating a strong commitment to advancing knowledge in various fields. These include upcoming projects such as “The Health Benefits and Social Effects of Exercise Games” funded by the Agency for Health Research and Quality, as well as past endeavors like “Ensuring Privacy of Personal Health Records (PHRs): A Health Record Trust Architecture” funded by the Texas Area 41 Institute, where Dr. Li served as the Principal Investigator. Other notable projects led by Dr. Li include “Students’ and Faculty’s Perceptions of Hybrid Courses: A Comparative Study,” which received funding from the Texas A&M University-San Antonio Research Award in 2009-2010. Additionally, Dr. Li has been involved in projects such as “Privacy-Enhancing Data Mining” at Texas A&M University-Kingsville in 2007 and “Business Measurement for Fraud Detection with Privacy Protection” funded by KPMG LLP and the KPMG Foundation in 2004. Dr. Li’s collaborative efforts have also been recognized, as seen in projects like “On the Development and Quantification of Privacy-Enhancing Data Mining Methods” and “Supply Chain Management: A Multi-Agent Approach,” both of which were Research Board Award recipients at the University of Illinois, where Dr. Li served as a Co-Principal Investigator with Michael Shaw as the Principal Investigator. Another notable collaboration was with Motorola Inc. on “Information Technology for Managing Global Supply Chain Networks,” which was funded through the Motorola Manufacturing Systems Research Grant in 1999.

Awards and Honors:

Dr. Jingquan Li has been recognized with several prestigious awards and honors for their outstanding contributions to teaching and scholarship. In 2010, Dr. Li received the College of Business Faculty Excellence in Teaching Award from Texas A&M University-San Antonio, acknowledging their exceptional skills in educating students. Additionally, Dr. Li was twice honored with the College of Business Faculty Excellence in Scholarship Award, in both 2010 and 2009, highlighting their significant contributions to research and academic scholarship. Dr. Li’s dedication to excellence in academia is further underscored by the Seymour Sudman Award, which they received in 1999 and 1998. This award recognizes individuals who have demonstrated excellence in research methodology and survey statistics, reflecting Dr. Li’s commitment to advancing knowledge in their field. Furthermore, Dr. Li was the recipient of the College of Commerce Fellowship at the University of Illinois at Urbana-Champaign in 1998, further highlighting their academic prowess and dedication to scholarly pursuits.