Baha Ihnaini

  • Position:
    Assistant Professor of Computer Science
  • College:
    College of Science, Mathematics and Technology
  • Office:
    GEHK C205

Education

B.Sc. in Computer Engineering
Philadelphia University, Jordan

M.S. in MIS
The Arab Academy, Jordan

Ph.D. in Computer Science
Universiti Utara Malaysia (UUM), Malaysia

Courses teaching in WKU

Computer Operating Systems

Computer Organization & Architecture

Computer Systems

Fundamentals of Computer Science – JAVA I

Computer Programming – JAVA II

Introduction to Unix/Linux

Microcomputer Applications

Senior Research

Biography

Dr. Baha Ihnaini received his Ph.D. in Computer Science from Universiti Utara Malaysia in 2019. He joined InterNetWorks Research Lab during his PhD journey. He obtained his M.SC. in MIS from AABFS, and his B.Sc. in Computer Engineering from Philadelphia University in 2008 and 2005, respectively. He worked as a lecturer in Al Khawarizmi International College for four years between 2011 and 2015. Since Aug. 2020, Baha works as a lecturer in the Computer Science department at Wenzhou-Kean University. Baha’s current fields of interests are Machine Learning, Deep Learning, and NLP.

Research interests

  • Artificial Intelligence
  • Deep Learning
  • Machine Learning
  • Natural Language Processing
  • Sentiment Analysis

Selected Publications/scholarly and creative work

Ihnaini, B., & Mahmuddin, M. (2020). Valence Shifter Rules for Arabic Sentiment Analysis, International Journal of Multi-disciplinary Sciences and Advanced Technology, 1 (2), 167-184.

Ihnaini, B., & Mahmuddin, M. (2020). Phonology Matching Algorithm to Construct Palestinian Sentiment Lexicon, International Journal of Multidisciplinary Sciences and Advanced Technology, 1 (3), 35-51.

Ihnaini, B., & Mahmuddin, M. (2018). Lexicon-Based Sentiment Analysis of Arabic Tweets: A Survey. Journal of Engineering and Applied Sciences, 13(17), 7313-7322.

Ihnaini, B., & Mahmuddin, M. (2018). An Expandable and Up-to-Date Lexicon for Sentiment Analysis of Arabic Tweets, COMPUSOFT, 7 (11), 2884-2891.