Pooneh Mousavi

CS PhD Student@ Concordia University

mousavi.pooneh [AT] gmail.com

Bio

I am a computer scienec PhD student at Concordia university working under Prof. Ravanelli's supervison. I am working on deep learning for sequence processinga and Conversational AI and collaborating on SpeechBrain project. My main research interests are Conversational AI, Natural Language Processing and Multi Modality.

I was working as a ML and NLP research scientist at UKP Lab in TU Darmstadt working on "AI In Digital Mental Health" project. During my MSc studies, I have worked as a data science intern at Pioneer Natural Resource company working on anomaly detection algorithms for extremely rare events. I have also been working as a full stack developer at Dotin Company which is provider of SOA-based multi-channel software products for banks and financial services institutions.

Education

Concordia University (Gina Cody School of Engineering and Computer Science)Sep. 2022 - present

PhD in Computer Science

University of Texas at Dallas (UTD)Aug. 2018 - May 2021

M.S. in Computer Science

K. N. Toosi University of Technology (KNTU) Sep. 2009 - Dec. 2013

B.S. in Software Engineering

Publications

Most recent publications on Google Scholar.
indicates equal contribution.

Detecting Hashtag Hijacking for Hashtag Activism

Pooneh Mousavi, Jessica Ouyang

ACL | IJCNLP | NLP4PosImpact

Please Donate for the Affected:Supporting Emergency Managers in Finding Volunteers and Donations in Twitter Across Disasters

Pooneh Mousavi, Cody Buntain

ISCRAM 2022

WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series

Jean-Christophe Gagnon-Audet, Kartik Ahuja, Mohammad Javad Darvishi Bayazi, Pooneh Mousavi, Guillaume Dumas, Irina Rish

NeurIPS 2022 | Track Datasets and Benchmarks Submission

Detecting Hashtag Hijacking for Hashtag Activism

Pooneh Mousavi, Jessica Ouyang

ACL | IJCNLP | NLP4PosImpact

Please Donate for the Affected:Supporting Emergency Managers in Finding Volunteers and Donations in Twitter Across Disasters

Pooneh Mousavi, Cody Buntain

ISCRAM 2022

WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series

Jean-Christophe Gagnon-Audet, Kartik Ahuja, Mohammad Javad Darvishi Bayazi, Pooneh Mousavi, Guillaume Dumas, Irina Rish

NeurIPS 2022 | Track Datasets and Benchmarks Submission

Vitæ

Full Resume in PDF.