Giovanni Molina


About

Fourth Year Computer Science PhD student with experience in Natural Language Processing, Machine Learning and Image Processing. Worked on the design of machine learning models to analyze bilingual text from casual and social media conversations. Studied and analyzed bilingual child language to build NLP tools to find syntactic predictors of language impairment. Currently applying machine learning techniques to improve medical image segmentation and medical image synthesis.

Research Interests

Machine Learning, Deep Learning, Medical Image Processing, Computer Vision, NLP.

Ongoing Research

I'm currently working on three main research topics:

  • Medical Image Segmentation - Applying machine learning techniques to improve segmentation of anatomical structures in medical images from multiple modalities (MRI, CT, X-Ray).
  • Medical Image Synthesis - Using machine learning and deep learning (GANs, FCNNs) techniques to generate new medical image data with customizable parameters.
  • Interactive Machine Learning - Integrating machine learning with Holographics to provide immersive and responsive aid to surgeons before, during and after surgeries.

Publications

  1. Giovanni Molina, Fahad AlGhamdi, Mahmoud Ghoneim, Abdelati Hawwari, Nicolas Rey-Villamizar, Mona Diab and Thamar Solorio. Overview for the Second Shared Task on Language Identification in Code-Switched Data, In Proceedings of the Second Workshop on Computational Approaches to Code Switching (EMNLP 2016), Austin, Texas, Association for Computational Linguistics, 40-49. (Presentation)
  2. Fahad AlGhamdi, Giovanni Molina, Mona Diab, Thamar Solorio, Abdelati Hawwari, Victor Soto and Julia Hirschberg. Part of Speech Tagging for Code Switched Data, In Proceedings of the Second Workshop on Computational Approaches to Code Switching (EMNLP 2016), Austin, Texas, Association for Computational Linguistics, 98-107. (Presentation)

Contact

e-mail: gemolinaramos@uh.edu
Google Scholar: Giovanni Molina
LinkedIn: Giovanni Molina
CV: Giovanni Molina
MRI Lab
RiTUAL Lab (Alumni)