Y. Daniel Liang

Retired, 2024

Former affiliation
Calculated based on number of publications stored in Pure and citations from Scopus
1985 …2021

Research activity per year

Personal profile

About

Prof. Liang joined Georgia Southern University in 2000 and retired in 2024.

— Biography from the 2024 Spring Commencement program —

Dr. Liang earned his BS (1983) and MS (1986) in Software from Fudan University and his PhD (1991) in Computer Science from the University of Oklahoma. He has served in academia for over 33 years, 24 of those years with Georgia Southern. Dr. Liang is an internationally-recognized scholar known throughout the discipline for his computing textbooks. He has published more than thirty books, which have been translated into six foreign languages and adopted by more than 300 universities worldwide. The publications have brought visibility and recognition to our great university. Additionally, he served as interim department chair of computer science. Recently he helped create the professional computer science graduate certificate program and served as the coordinator of the program. He is also a member of the exclusive “Java Champion” program, an advisory group to Oracle Corporation. With his outstanding service to student success, administration, and community, Dr. Laing is deserving of the title Professor Emeritus of Computer Science.*

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 9 - Industry, Innovation, and Infrastructure

Related links & documents

Education/Academic qualification

Ph.D. in Computer Science, University of Oklahoma

19861991

M.S. in Computer Science, Fudan University

… → 1986

B.S. in Computer Science, Fudan University

19791983

Disciplines

  • Databases and Information Systems

Research Interests

  • Computer Science Education
  • Interactive Learning
  • Graph Algorithms
  • Database Systems
  • Cloud Computing
  • Parallel Computing

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