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). My dissertation studied developer contribution behaviour in software crowdsourcing contests - factors influencing participation, the impact of incentives on participation behaviour and the problem solving process within crowdsourcing contests. Prior to City University, I studied at the Information Networking Institute at Carnegie Mellon University where I earned a Masters degree in Information Networking. 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, 3d modelling, african mask art).
All content on this site are my ideas and do not reflect opinions of my employer.





  • 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



  • 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


  • March 2022
    My work on Signver (a library for automatic signature verification) is awarded 'Best Computer Vision Application' in the AWS Deep Learning Challenge
  • February 2022
    My Kaggle Notebook 'Signature Image Cleaning with Tensorflow 2.0' is awarded the 'Google OSS Expert Prize'
  • October 2021
    I have joined the Human AI eXperience (HAX) team at Microsoft Research as a Principal Research Software Engineer
  • December 2020
    Finally made out time to update this website with React and Gatsby!

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