Hi, Victor here.
I'm an expert in Applied Machine Learning and HCI.

I am currently a Principal Research Software Engineer at the Human-AI eXperiences (HAX)
team, at Microsoft Research. My research interests are at the intersection of human-computer interaction (HCI), computational social science, and applied machine learning. My research has been published at conferences such as EMNLP, AAAI, and CHI and has received multiple best paper awards. My work has also been featured in outlets such as the Wall Street Journal and VentureBeat. I am an IEEE Senior member, a Google Certified Professional ( Data Engineer, Cloud Architect ) and currently a Google Developer Expert in Machine Learning.
I Hold a PhD in Information Systems from City University of Hong Kong (recipient of the HKPFS scholar award by the Hong Kong Research Grants Council) and an MSc in Information Networking from the Information Networking Institute at Carnegie Mellon University. I previously worked as a Principal Research Engineer at Cloudera Fast Forward Labs, Research Staff Member at IBM Research, Technical Lead for MIT Global Startup Labs, Researcher at the Innovation Management Lab, Athens Information Technology Athens Greece, and founder/lead developer for a small startup focused on West African markets.
In my free time, I enjoy music (some self taught guitar, piano), sports (participated in the Hong Kong Marathon thrice) and exploring art (some drawing, african mask art).

RECENT POSTS

RECENT PUBLICATIONS

2020

2019

  • Detecting Human Input Activity In a Cognitive Environment Using Wearable Inertia and Audio Sensors

    Victor Dibia
  • Automated Summarization Based on Physiological Data

    Victor Dibia,Rachel K.E. Bellamy
  • An embodied cognitive assistant for visualizing and analyzing exoplanet data best demo paper Award @ AAAI 18

    Jeffrey O. Kephart,Victor Dibia,Jason Ellis,Biplav Srivastava,Kartik Talamadupula,Mishal Dholakia
  • Data2Vis: Automatic Generation of Data Visualizations Using Sequence-to-Sequence Recurrent Neural Networks best paper Award @ IEEE CGA, Honorable Mention IEEEVis VDS

    Victor Dibia,Cagatay Demiralp

RECENT PROJECTS

RECENT TALKS

  • June 2021

    Fast Forward LiveOnline.

    Deep Learning for Automatic Offline Signature Verification
  • November 2019

    QCON SFSan Francisco, USA.

    ML in the Browser: Interactive Experiences with Tensorflow.js
  • November 2019

    Tensorflow World Santa Clara, California USA.

    Handtrack.js: Building gesture-based interactions in the browser using TensorFlow.js
  • November 2019

    Google ML SummitPittsburgh PA, Cambridge, USA.

    Art + AI : Generating Novel African Mask Art using Generative Adversarial Networks

RECENT NEWS/UPDATES

  • October 2021
    update
    I have joined the Human AI eXperience (HAX) team at Microsoft Research as a Principal Research Software Engineer
  • December 2020
    update
    Finally made out time to update this website with React and Gatsby!
  • September 2020
    paper
    NeuralQA has been accepted as a demo paper at EMNLP 2020!
  • July 2020
    project
    Excited to release NeuralQA - A Usable Library for (Extractive) Question Answering on Large Datasets with BERT. Try it out on Github.

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