Fairouz Tchier | Key Management | Best Researcher Award

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Prof Dr. Fairouz Tchier | Key Management | Best Researcher Award

Professor Docter at King Saud University, Saudi Arabia

Fairouz Tchier is a highly accomplished academic with expertise in mathematics and computer science. They hold a Ph.D. in mathematics (theoretical computer science) from Université Laval, Canada, and have a strong background in teaching and research. Fairouz’s research interests are diverse and include formal methods, applied mathematics to engineering, theoretical computer science, software engineering, fixed points, demonic relational semantics, relation algebra, fuzzy set theory, Kleene algebra, and applied mathematics. In terms of teaching, Fairouz has a wide range of interests, including courses in discrete mathematics, mathematical logic, calculus, foundations of mathematics, algebra, real analysis, and cryptography and coding. Their dedication to teaching excellence is underscored by several awards and accolades received throughout their career. Fairouz’s work and contributions to academia have been widely recognized, making them a respected figure in their field.

Profile:

Education:

Fairouz Tchier is a highly qualified individual with a strong background in mathematics and theoretical computer science. With fluency in three major languages (English, French, and Arabic), Fairouz is able to effectively communicate and collaborate in diverse environments. Fairouz holds a Ph.D. in mathematics (theoretical computer science) from Université Laval in Quebec City, Québec, Canada, awarded in 1996. Prior to this, Fairouz completed a Master of Science in mathematics (functional analysis) at Université de Sherbrooke in Sherbrooke, Québec, Canada, in 1990, and a Bachelor’s degree in mathematics (functional analysis) from Université de Sétif in Sétif, Algeria, in 1986. Additionally, Fairouz is a Certified Learning Quality Manager (ICET) and a Certified Reviewer for Academic Accreditation (ASIIN-NCAAAABET), reflecting a commitment to excellence in education and quality assurance.

Awards:

Fairouz Tchier has received several awards for their work, including being ranked in the top 2% of researchers most cited for their research in mathematics for the years 2019-2024 according to the Scopus database from Stanford University. Fairouz also received an award from the College of Science for the best interactive teaching staff at King Saud University in 2023. Additionally, Fairouz has been honored with awards for the best bachelor project supervisor in 2017, 2018, and 2019, as well as awards for academic excellence and teaching. Fairouz has also received scholarships for graduate studies abroad in Algeria and awards from research councils in Canada.

Scholarships:

Fairouz Tchier has been the recipient of several scholarships that have significantly contributed to their academic and research pursuits. One such scholarship is the National Scholarship for Graduate Studies Abroad in Algeria, which supported Fairouz’s graduate studies from 1982 to 1986. This scholarship provided crucial financial assistance, enabling Fairouz to pursue advanced education in mathematics and theoretical computer science. Additionally, Fairouz received an award from the Fonds Québec de la Recherche et les Technologies from 1990 to 1993 in Canada. This award recognized Fairouz’s research potential and provided funding for their research endeavors, further enhancing their academic development. Furthermore, Fairouz was awarded the Natural Sciences and Engineering Research Council of Canada (NSERC) scholarship from 1993 to 1996. This prestigious scholarship supported Fairouz’s research in mathematics and theoretical computer science, highlighting their contributions to the field. These scholarships not only provided financial support but also served as a testament to Fairouz’s academic excellence and dedication to their field of study.

Work Experience:

Fairouz Tchier is a Full Professor in the Department of Mathematics at King Saud University, Riyadh, Saudi Arabia, a position held since March 2017. They previously served as an Associate Professor from March 2008 to 2017 and as an Assistant Professor from November 1996 to February 2008. Fairouz has taught various courses in pure and applied mathematics and computer science and has been actively involved in student supervision and administrative duties. Their responsibilities have included overseeing e-courses, accreditation and quality management, and coordination of mathematics courses and committees. Fairouz’s contributions to teaching, research, and academic administration make them a valuable member of King Saud University.

Academic Research:

Fairouz Tchier completed their Ph.D. thesis on demonic relational semantics and the verification of non-deterministic loops at Université Laval, Canada, in 1996. Prior to their Ph.D., they worked as a Lecturer in the Mathematics Department and as an Assistant Researcher in the Department of Computer Science at Université Laval. Fairouz also served as a Research Assistant at Université de Sherbrooke, where they completed their Master’s thesis on stochastic operators in 1990. Their academic journey showcases a strong background in mathematics and computer science, with a focus on theoretical aspects.

Teaching Interest:

Fairouz Tchier’s teaching interests span a wide range of topics in mathematics, reflecting their diverse expertise and academic background. In undergraduate courses, Fairouz is interested in teaching Discrete Mathematics, Mathematical Logic, Calculus Courses, Foundations of Mathematics, Algebra Courses, Real Analysis Courses, and Cryptography and Coding. They also supervise graduate projects in mathematics, demonstrating a commitment to mentoring and guiding students in their academic endeavors. At the graduate level, Fairouz’s teaching interests include Mathematical Logic, Cryptography and Coding, Relation Algebra, Kleene Algebra, Discrete Structures, Ordered Sets, and Fuzzy Set Theory. These courses delve into advanced topics in mathematics, highlighting Fairouz’s proficiency in both foundational and specialized areas of the field. Through their teaching interests, Fairouz aims to impart knowledge and inspire students at both the undergraduate and graduate levels, fostering a deep understanding and appreciation for mathematics.

Research Interest:

Fairouz Tchier’s research activities are centered around several key areas that span the fields of mathematics and computer science. Their expertise includes Formal Methods, which involves the use of mathematical techniques for software and hardware development. They also focus on Applied Mathematics to Engineering, where mathematical concepts are applied to solve engineering problems. In Theoretical Computer Science, Fairouz explores fundamental concepts and algorithms that underpin computing. Additionally, Fairouz’s research extends to Software Engineering, where they investigate methods for developing high-quality software. Their work also encompasses Fixed Points, which are solutions to equations that remain unchanged under certain operations. Fairouz is also involved in research related to Demonic Relational Semantics, which deals with the formal semantics of computer programs. Other areas of interest include Relation Algebra, Fuzzy Set Theory, Kleene Algebra, and the application of mathematics in various practical contexts. Through their research, Fairouz aims to contribute to the advancement of knowledge in these areas and their application in real-world scenarios.

 

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.