Welcome to

AIM

Inclusive & Multimodal AI

About AIM Lab

AIM is a research lab in the Department of Computer Science and Engineering at Santa Clara University (SCU) . We build AI at the intersection of language and vision—developing multimodal models, tasks, and datasets.

Our aim is to advance equitable AI across diverse demographics, spanning income levels, languages, cultures, age groups, and gender. We emphasize inclusive, responsible, and human-centered approaches that address real-world challenges.

Explore our open-source models and datasets:

To extend impact beyond the lab, we collaborate closely with partners such as the Miller Center for Global Impact, Markkulla Center for Applied Ethics, and the Frugal Innovation Hub.

We co-organize the NLP for Positive Impact Workshop (NLP4PI), connecting research with societal benefit.

We also co-host ACL Mentorship, a global initiative featuring panel sessions with AI researchers from academia and industry. Watch the recordings and join live as a mentee or mentor. Open to everyone, especially the underrepresented communities.

Learn more about the CSE PhD program at SCU.

Update: We will not be recruiting students for Winter–Spring 2026. Prospective graduate students can explore the MS in AI at SCU. 🌹

Ultimately, research is for people and can enable demographic-aware technologies that make a lasting positive impact on society.
Why AI is WEIRD

Latest News

2026
2025 highlights

Lab Members

Current

Profile 1

Oana Ignat

Assistant Professor

oignat at scu

Profile 2

Parth Bhalerao

PhD Student

pbhalerao at scu

Profile 2

Diola Dsouza

Master Student

dcdsouza at scu

Profile 2

Ruiwen Guan

Master Student

rguan at scu

Profile 2

Jeromy Chang

Master Student

jchang5 at scu

Profile 2

Keya Patel

Master Student

kpatel8 at scu

Profile 2

Yuming Zhao

Master Student

yzhao4 at scu

Alumni

Profile 2

Peiyi Zhang

Master Student

pzhang4 at scu

Profile 2

Ragha Yalamarty

Master Student

2024-2025

ryalamarty at scu

Profile 2

Arushi Mangla

Master Student

2024-2025

amangla at scu

Profile 2

Brian Trinh

Master Student

2024-2025

btrinh at scu

Selected Publications (Paper, Poster & Code)

Mentorship and Inspiration Generation

Beyond Factual QA: Mentorship-Oriented Question Answering over Long-Form Multilingual Content

  Parth Bhalerao, Diola Dsouza, Ruiwen Guan, Oana Ignat
  Under Review

Cross-cultural Inspiration Detection and Analysis in Real and LLM-generated Social Media Data

  Oana Ignat*, Gayathri Ganesh Lakshmy*, Rada Mihalcea
  C3NLP at NAACL 2025
🏆 Best Paper Award

Detecting Inspiring Content on Social Media

  Oana Ignat, Y-Lan Boureau, Jane A. Yu, Alon Halevy
  ACII 2021

Inclusive Language-Vision Models & Datasets

When Cultures Meet: Multicultural Text-to-Image Generation

  Parth Bhalerao, Mounika Yalamarty, Brian Trinh, Oana Ignat
  ACL 2026

Beyond Translation: Cross-Cultural Meme Transcreation with Vision-Language Models

  Yuming Zhao, Peiyi Zhang, Oana Ignat
  Under Review

NLP for Social Good: A survey of challenges, opportunities, and responsible deployment

  Antonia Karamolegkou, {...}, Oana Ignat, {...}
  EACL 2026

Brighter: Bridging the gap in human-annotated textual emotion recognition datasets for 28 languages

  Shamsudden H Muhammad, {...}, Oana Ignat, {...}
  ACL 2025
🏆 Best Resource Paper Award

Why AI Is WEIRD and Shouldn't Be This Way: Towards AI for Everyone, with Everyone, by Everyone

  Rada Mihalcea*, Oana Ignat*, Longju Bai, {...}
  AAAI 2025

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark

  David Romero, Chenyang Lyu, {...} Joan Nwatu, Oana Ignat, Rada Mihalcea, Thamar Solorio, Alham Fikri Aji
  NeurIPS 2025

The Power of Many: Multi-Agent Multimodal Models for Cultural Image Captioning

  Longju Bai, Angana Borah, Oana Ignat, Rada Mihalcea
  NAACL 2025

Uplifting Lower-Income Data: Strategies for Socioeconomic Perspective Shifts in Vision-Language Models

  Joan Nwatu, Oana Ignat, Rada Mihalcea
  NAACL 2025

MAiDE-up: Multilingual Deception Detection of GPT-generated Hotel Reviews

  Oana Ignat, Xiaomeng Xu, Rada Mihalcea
 NAACL 2025