Morteza Chini (he/him/his)

Assistant Teaching Professor

Morteza Chini (he/him/his)

Assistant Teaching Professor

Dr. Morteza Chini has taught a broad range of courses in the Department of Computing & Software Systems at UW Bothell since 2016. His teaching style emphasizes building professional relationships with learners, fostering a collaborative and supportive environment grounded in cooperation, mentorship and active learning. He connects foundational computing concepts with practical, real-world applications, helping students develop technical confidence and problem-solving skills.


Education

  • Central Washington University
    • Master of Science in IT & Cybersecurity Management

Courses

  • CSS 497 Capstone Project
  • CSS 370 Software Analysis & Design
  • CSS 360 Software Engineering
  • CSS 350 Management for Computing Professionals
  • CSS 332 Issues with OOP (C++)
  • CSS 310 Information Assurance & Cybersecurity
  • CSS 301 Technical writing for computing professionals
  • CSS 295 K-12 Computer education
  • CSSSKL 142 & 143 Java labs
  • CSS 142 Programing with Java
  • CSS 143 Programing with Java II
  • CIS 102 MS. Database
  • CIS 253 Cloud computing applications
  • CIS 233 System analysis & design I
  • CIS 234 Design & development II
  • CSSSKL 509 Master’s Technical Writing Skills
  • CSSSKL 510 Master’s Scientific Writing

Teaching Interests

Chini’s teaching interests are broad, as he has taught a range of CSS courses, from foundational topics to more advanced areas. What he enjoys most, however, is connecting with students and helping them grow. He values understanding their goals, supporting them through coursework and projects and building professional relationships that extend into mentorship.

Research and Scholarship Interests

Current interests extend to agentic AI, exploring how these evolving AI capabilities can be thoughtfully integrated into software systems and human workflows, while maintaining a strong focus on usability, human-AI collaboration and responsible design.

2021 nominee for UW’s prestigious Distinguished Teaching Awards for Innovation with Technology.