picture of PhD student smiling

Office Location

308 Washburn
Shirin Javadi
Education
Ferdowsi University, Master in Industrial Engineering, 2021
Ferdowsi University, Bachelor in Industrial Engineering, 2018

I am a second-year Ph.D. student in Business Administration at Worcester Polytechnic Institute, specializing in Information Systems. My research focuses on user perception and responses in technology interactions, particularly with chatbots. Using both qualitative and quantitative methods, I aim to deepen our understanding of user-technology relationships.

My work contributes to improving technology design by enhancing user empowerment, fostering adoption, and increasing the prevalence of emerging technologies. By bridging theory and practice, I seek to ensure that technology evolves in ways that better serve users and organizations.

picture of PhD student smiling
Shirin Javadi

I am a second-year Ph.D. student in Business Administration at Worcester Polytechnic Institute, specializing in Information Systems. My research focuses on user perception and responses in technology interactions, particularly with chatbots. Using both qualitative and quantitative methods, I aim to deepen our understanding of user-technology relationships.

My work contributes to improving technology design by enhancing user empowerment, fostering adoption, and increasing the prevalence of emerging technologies. By bridging theory and practice, I seek to ensure that technology evolves in ways that better serve users and organizations.

Office Location

308 Washburn

Awards

Ranked 1st among Industrial Engineering Master's students, 2021
Top Researcher of the Industrial Engineering Department among Master's and Ph.D. students, 2021
Ranked 2nd among Industrial Engineering Bachelor's students, 2018

Research Interests

Conversation AI
Human-Computer Interaction
Qualitative and Quantitative Research
Privacy and Security in AI
Publication Information

Javadi, S., & Kordzadeh, N. (2024). Balancing Personalization and Privacy: A Theoretical Model for Enhancing Chatbot User Experience.

Javadi, S., Maghami, A., & Hosseini, S. M. (2022). A deep learning approach based on a data-driven tool for classification and prediction of thermoelastic wave’s band structures for phononic crystals. Mechanics of Advanced Materials and Structures, 29(27), 6612-6625.