Phuong Pham

Ph.D. candidate
Computer Science, University of Pittsburgh

Room 5808 Sennott Square
210 South Bouquet Street
Pittsburgh, PA 15260

Email: phuongpham AT cs.pitt.edu

About

Hi! My name is Phuong Pham (full name is Phuong Ngoc Viet Pham). I am a Ph.D. candidate in Computer Science @Pitt. I am working with professor Jingtao Wang. Welcome to check our lab website and particularly our specific project AttentiveLearner in improving learning experience in large classrooms, flipped classrooms, and Massive Open Online Courses (MOOCs) via unmodified smartphones. Previously, I have had an opportunity to work with professor Janyce Wiebe and professor Rebecca Hwa in a text classification project on clinical data.

Prior to coming to Pitt, I obtained my Bachelor's and Master's degrees in Information Technology and Computer Science at University of Sciences, Ho Chi Minh city, Vietnam.

Research

My research interest include Human-Computer Interaction (HCI), Mobile Interfaces, Intelligent User Interfaces, Machine Learning and Its Applications in User Interfaces and Education, Natural Language Processing (NLP), Deep Learning. Currently, I am working in emotion-aware interface for mobile MOOC learning. We name the app AttentiveLearner, which can infer learner's cognitive and affective states via physiological signals and facial expressions collected from unmodified smartphones. The approach is scalable for large learning environments as MOOC because it can run on today's smartphones without dedicated sensors.

Publications

  • AttentiveLearner2: a Multimodal Approach for Improving MOOC Learning on Mobile Devices (Poster)
    Phuong Pham, Jingtao Wang
    Proceedings of 18th International Conference on Artificial Intelligence in Education (AIED 2017), 2017.
    abstract   bib   to appear  
  • Dynamics of Affective States during Mobile MOOC Learning (Poster)
    Xiang Xiao, Phuong Pham, and Jingtao Wang
    Proceedings of 18th International Conference on Artificial Intelligence in Education (AIED 2017), 2017.
    abstract   bib   to appear  
  • Understanding Emotional Responses to Mobile Video Advertisements via Physiological Signal Sensing and Facial Expression Analysis
    Phuong Pham, Jingtao Wang
    Proceedings of the 22th International Conference on Intelligent User Interfaces (IUI 2017), 2017.
    abstract   bib   to appear  
  • Adaptive Review for Mobile MOOC Learning via Implicit Physiological Signal Sensing (Best Student Paper Award)
    Phuong Pham, Jingtao Wang
    Proceedings of the 18th ACM International Conference on Multimodal Interaction (ICMI 2016), 2016.
    abstract   bib   preprint  
  • AttentiveVideo: quantifying emotional responses to mobile video advertisements (Demo)
    Phuong Pham, Jingtao Wang
    ACM International Conference on Multimodal Interaction (ICMI 2016), 2016.
    abstract   bib   preprint  
  • Acoustic Scene Recognition with Deep Neural Networks ({DCASE} Challenge 2016) (Techinical report)
    Dai, Wei and Li, Juncheng and Pham, Phuong and Das, Samarjit and Qu, Shuhui
    Detection and Classification of Acoustic Scenes and Events (DCASE 2016), 2016.
    abstract   bib   preprint  
  • Sound Event Detection for Real Life Audio {DCASE} Challenge (Technical report)
    Dai, Wei and Li, Juncheng and Pham, Phuong and Das, Samarjit and Qu, Shuhui
    Detection and Classification of Acoustic Scenes and Events (DCASE 2016), 2016.
    abstract   bib   preprint  
  • AttentiveLearner: Adaptive Mobile MOOC Learning via Implicit Cognitive States Inference (Demo)
    Xiang Xiao, Phuong Pham, Jingtao Wang
    ACM International Conference on Multimodal Interaction (ICMI 2015), 2015.
    abstract   bib   preprint  
  • AttentiveLearner: Improving Mobile MOOC Learning via Implicit Heart Rate Tracking
    Phuong Pham, Jingtao Wang
    Proceedings of 17th International Conference on Artificial Intelligence in Education (AIED 2015), 2015.
    abstract   bib   preprint  
  • Bridging the Natural Language Processing Gap: An Interactive Clinical Text Review Tool (Poster)
    Gaurav Trivedi, Phuong Pham, Wendy Chapman, Rebecca Hwa, Janyce Wiebe, Harry Hochheiser
    Proceedings of the 2015 AMIA Summit on Clinical Research Informatics (CRI 2015), 2015.
    abstract   bib   preprint  
  • An Interactive Tool for Natural Language Processing on Clinical
    Gaurav Trivedi, Phuong Pham, Wendy Chapman, Rebecca Hwa, Janyce Wiebe and Harry Hochheiser
    The 4th Workshop on Visual Text Analytics, 2015.
    abstract   bib   preprint  
  • Automated Annotation on Colonoscopy Reports (Poster)
    Phuong Pham, Janyce Wiebe, Rebecca Hwa, Wendy Chapman
    Proceedings of the 2013 AMIA Summit on Clinical Research Informatics (CRI 2013), 2013.
    abstract   bib   preprint  
  • Misc

    Welcome to join us at Mobile Interfaces and Pedagogical Systems Group at University of Pittsburgh.
    Thanks Lingjia Deng for the HTML template.
    Last Modified: 04/24/2017