Passionate about research & applying science to help create a better world.
Tenure-Track Assistant Professor at SCU.
I'm hiring kind and self-motivated PhD students!
More info.
PhD Application form.
Co-host at ACL Mentorship, global panel sessions with AI research experts from academia and industry.
Open to everyone, especially the underrepresented!
PhD and Postdoctoral researcher at UMich, LIT Lab,
advised by Rada Mihalcea.
My research is at the intersection of Natural Language Processing and Computer Vision,
with current focus on AI for social good and AI for all, towards ensuring inclusive representations in language-vision models and datasets.
Mentor for Master and Ph.D. students, Co-PI Global Health Equity Grant, co-organizer of ACL Year Round Mentorship and many other events and workshops centered on improving diversity in CS.
Volunteer for AI4ALL, I introduced high school students to AI by teaching them how to implement and present an NLP project related to social good.
Primary Instructor for Dicover CS (EECS 198), a class primarily designed for underrepresented minorities in CS
As a Teaching Consultant, I helped other GSIs/IAs to improve their teaching through one on-one consultations where we discuss challenges they face during teaching, collected feedback from students of the GSIs/IAs and discussed it with the student instructor.
GSI for Data Structures and Algorithms (EECS 281) and Data Mining (EECS 476)
Mentored by Jingru Yi and Burak Uzkent, I implemented and presented research on image-phrase grounding using contrastive learning and image augmentation.
Mentored by Paco Guzman, Vishrav Chaudhary and Jean Maillard, I implemented and presented research on OCR impact in Machine Translation for low resource languages.
Mentored by Alon Halevy, Jane Yu and Y-Lan Boureau, I implemented and presented research on Identifying and Analyzing Inspiration in social media data.
Research and implement efficient automatic ML models for road detection using raw images from mobile phones.
My undergraduate thesis was done as part of the internship and was about implementing a real-time road recognition algorithm having as input a disparity (depth) image taken from a stereo camera.
  Oana Ignat*, Zhijing Jin*, {...}, Rada Mihalcea
  COLING 2024
  Oana Ignat*, Gayathri Ganesh Lakshmy*, Rada Mihalcea
  Under Review
  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
  Under Review
  Joan Nwatu, Oana Ignat, Rada Mihalcea
  Under Review
  Joan Nwatu*, Oana Ignat*, Rada Mihalcea
  EMNLP 2023
  Oana Ignat, Longju Bai, Joan Nwatu, Rada Mihalcea
 
  Oana Ignat, Xiaomeng Xu, Rada Mihalcea
  Under Review
  Oana Ignat, Jean Maillard, Vishrav Chaudhary, Francisco Guzmán
  Findings ACL 2022
  Santiago Castro*, Oana Ignat*, Rada Mihalcea
  *SEM 2023
  Santiago Castro, Ruoyao Wang, Pingxuan Huang, Ian Stewart, Oana Ignat, Nan Liu, Jonathan C. Stroud, Rada Mihalcea
  ACL 2022
  Oana Ignat, Santiago Castro, Yuhang Zhou, Jiajun Bao, Dandan Shan, Rada Mihalcea
  TOMM 2022
  Oana Ignat, Santiago Castro, Hanwen Miao, Weiji Li, Rada Mihalcea
  EMNLP 2021
  Oana Ignat, Laura Burdick, Jia Deng, Rada Mihalcea
  ACL 2019
  Oana Ignat, Cosmin Lazar
  ICCP 2016