Jeremy Wei

Jeremy Wei has extensive experience in research methodologies, ethics, and data analysis, having facilitated various research projects at New York University and UTSC. His research employs advanced statistical techniques and machine learning to examine complex relationships among variables. His current study explores the connection between AI and data privacy, the resistance to adopting AI, and the impact of reflective practices on users' intentions to adopt AI technologies. He assists organizations in transforming disadvantages into strengths. Additionally, he is the founder of iDox.ai, a leading AI-driven data privacy management organization. 

Appointments:
Program Instructor, DCE, Harvard
Adjunct Professor, USTC

Education:
EdD, New York University: New York, New York
MS, Columbia University: New York, NY, US| (Institute of Technology Management)
MA, NCCU: Taipei, Taiwan
BA, Catholic FuJen University, Taipei, Taiwan

Publications:
Navigating AI Adoption from Resistance to Acceptance: How Collective Reflexivity Emerges to Catalyze Software Engineers' Perspective Shift. Available at SSRN 4790326.
2024 |w-paper

Reflective learning: a new leadership development framework driving engineering innovation
Reflective Practice.
DOI: 10.1080/14623943.2024.2320141

RCAM-Transformer: A Novel Approach to Table Reconstruction Using Row-Column Attention Mechanism2024 | book-chapter
DOI: 10.1007/978-3-031-70442-0_7

MuraNet: Multi-task Floor Plan Recognition with Relation Attention
Document Analysis and Recognition – ICDAR 2023 Workshops
2023 | conference-paper
DOI: 10.1007/978-3-031-41498-5_10

Neural Graph Matching for Modification Similarity Applied to Electronic Document Comparison2022 | working-paper

DocPro
World Academy of Science, Engineering and Technology
2020 | journal-article