Vyacheslav (Slava) Zavalin, Ph.D.

Assistant Professor

Library & Information Studies

Vyacheslav (Slava) Zavalin, Ph.D.

Contact

vzavalin@twu.edu
940-898-2626

View CV

Biography

Vyacheslav “Slava” Zavalin is an Assistant Professor in the School of Library & Information Studies at Texas Woman’s University. Dr. Zavalin completed his ALA-accredited Master’s degree in Information Science with a concentration in information organization and systems and Ph.D. in information science with concentration in data analytics at the University of North Texas. His research interests, teaching and practical experience lie in the areas of cataloging and classification, metadata, subject analysis, and information organization, data analytics, digital imaging and data visualization. Since 2015, he has been teaching RDA Cataloging in MARC21, including descriptive and subject cataloging and authority control. He actively collaborated with faculty, students, and library practitioners in several research projects and co-authored resulting publications in areas of information organization and access. He designed course materials and taught introductory and advanced cataloging and classification courses. He also designed and taught a Data Visualization and Analytics course. His teaching philosophy emphasizes experiential learning and he is committed to working closely with students to help them achieve academic success and develop professionally.

Education

Ph.D., Information Science, University of North Texas, Denton, TX
M.S., Information Science, University of North Texas, Denton, TX
Masters Degree or Equivalent, Engineering, Economics and Management, National Transport University, Kiev, Ukraine
Graduate Certificate, Technology Processes Automation, Kyiv National University of Construction and Architecture, Kiev, Ukraine

Expertise

Data Science; Information Organization; Information Systems; Metadata; Cataloging; Classification; Subject Access; Subject Representation; Data Visualization; Digital Imaging; Linked Data; Smart Data; Big Data

Professional Affiliations

  • Association for Library and Information Science Education (ALISE)
  • Beta Phi Mu The International Library and Information Studies Honor Society