Inclusive & Multimodal AI
AIM advances Artificial Intelligence (AI) research at the intersection of Language and Vision by building and evaluating novel multimodal models, tasks, and datasets.
Our mission is to make AI equitable across diverse demographics, spanning income levels, languages, cultures, age groups, and gender.
We emphasize inclusive, responsible, and equitable approaches that address real-world challenges.
To ensure impact beyond the lab, we collaborate with organizations such as the Miller Center for Global Impact and the Frugal Innovation Hub.
We co-host at ACL Mentorship, global panel sessions with AI research experts from academia and industry. Open to everyone, especially the underrepresented!
More information about living in Santa Clara, SCU, and the PhD program.
Ultimately, research is for people and can enable demographic-aware technologies that make a lasting positive impact on society.
Yuming Zhao
Master Student
yzhao4 at scu
Ragha Yalamarty
Master Student
ryalamarty at scu
Shuowei Li
Master Student
sli19 at scu
Arushi Mangla
Master Student
amangla at scu
Brian Trinh
Master Student
btrinh at scu
  Rada Mihalcea*, Oana Ignat*, Longju Bai, {...}
  AAAI 2025
  Antonia Karamolegkou, {...}, Oana Ignat, {...}
  Under Review
  Shamsudden H Muhammad, {...}, Oana Ignat, {...}
  ACL 2025
🏆 Best Resource Paper Award
  Oana Ignat, Xiaomeng Xu, Rada Mihalcea
 NAACL 2025
  Oana Ignat*, Gayathri Ganesh Lakshmy*, Rada Mihalcea
  C3NLP at NAACL 2025
🏆 Best Paper Award
  Oana Ignat, Y-Lan Boureau, Jane A. Yu, Alon Halevy
  ACII 2021
  David Romero, Chenyang Lyu, {...} Joan Nwatu, Oana Ignat, Rada Mihalcea, Thamar Solorio, Alham Fikri Aji
  NeurIPS 2025
  Joan Nwatu, Oana Ignat, Rada Mihalcea
  NAACL 2025