I am an AI scientist (Ph.D. candidate of AI @ Carnegie Mellon University) and a computer engineer (B.S. University of Tehran). My research is focused on theoretical and empirical aspects of multimodal machine learning. I am also interested in fundamental unimodal research topics including facial and body analysis, audio source localization and separation, as well as language and dependency modeling. My ECE knowledge spans robotics, embedded systems, microprocessors, computer graphics,  game design, network administration, and software engineering. 

resume.jpg
images.png
kisspng-google-scholar-education-researc

News

  • [2020] EMNLP: One paper accepted - CMU-MOSEAS dataset.

  • [2020] Elsevier Information Fusion (IF 11.21): Foundations of Multimodal Co-learning.

  • [2020] ACL: One paper accepted - Multimodal Finetuning of Advanced Transformer Models (M-BERT)

  • [2020] Preprint: Pseudo-encoded Stochastic Variational Inference.

  • [2020] Preprint: Variational Auto-Decoder: Neural generative modeling from partial data. 

  • [2020] CVPR : Organizer of Multimodal Learning (MuL) Workshop.

  • [2020] ACL: Organizer of Second Grand-challenge and Workshop on Multimodal Language (proceedings). 

​

​

  • [2019] ICCV: Organizer of Cross-Modal Learning in the Wild (CroMol)

  • [2019] CVPR: One paper accepted as oral presentation.

  • [2019] ICLR: One paper accepted.

  • [2019] Invited Talk: Google San Francisco Workshop on Multimodal Learning.

  • [2019] AAAI: Session Chair of Deep Learning session, and NLP session.

  • [2019] AAAI: One paper accepted.

​

​

  • [2018] EMNLP: One paper accepted as oral presentation.

  • [2018] ACL: Two papers accepted as oral presentation.

  • [2018] AAAI: Two papers accepted as oral presentation.

  • [2018] ACL: Organizer of First Grand-challenge and Workshop on Multimodal Language (proceedings)

​

​

  • [2017] EMNLP: One paper accepted as oral presentation.

  • [2017] ACL: Two papers accepted (one oral).

​

​

  • [2016] Yahoo InMind Fellowship.