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_people/cox.md

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+---
+# !!!!
+# The NAME of the file should be your LASTNAME (e.g. houben.md)
+# Do NOT delete any field, only fill in the required information
+# !!!! 
+
+# Your full name (Firstname, Lastname)
+name: Bart Cox
+# The members are displayed in a hierarchical way, so please choose the role (e.g. Full Professor, Assistant Professor etc) 
+# and filter number (e.g. 1, 2, 3) from this list and fill in the role and filter from below:
+# (Affiliated) Full Professor - 1
+# Associate Professor - 2
+# Assistant Professor - 3
+# Postdoctoral Researcher - 4
+# PhD Candidate - 5
+# Research Engineer - 6 
+# Guest Researcher - 7
+# Secretary - 8
+role: PhD Candidate
+filter: 5
+
+# same as filter
+theme-filter: 5
+
+# choose your team(s) from the following list: delta, kappa, epsilon, lambda, cel
+team: [Distributed ML]
+
+# provide social URLs (if any)
+linkedin: https://www.linkedin.com/in/bart-cox/
+twitter: 
+github: https://github.com/bacox
+
+# look for your image here: https://github.com/wis-delft/wis-delft.github.io/tree/master/assets/img/people 
+# if your image doesn't exist, upload it in assets/img/people 
+# write the exact name of the image as it appears in GitHub  
+image: cox.png
+
+# the TUD email address
+email: [email protected]
+
+# Room number (e.g Room - 840 West 4rd floor)
+office: 1.E.200
+
+# The name of this file with .html extension instead of .md (If the filename is ionescu.md, the "back" field will be ionescu.html)
+back: cox.html
+
+# Go to https://purexml-open.ewi.tudelft.nl 
+# choose Query Type = Person, search term = your name, Style = as a list
+# generate url and copy the link in the publications_link field below
+publications_link: https://purexml-open.ewi.tudelft.nl/convert/tu/persons/05b9e9fc-4056-4f15-998e-8f343ad54912/
+---
+
+## About
+
+Bart is a PhD student at the Data-Intensive Systems group under the guidance of Dr. Jeremie Decouchant and Dr. Lydia Y. Chen.
+His research aims to scale computational workloads across multiple devices by moving the computation to the data source instead of moving data. This allows for the collaboration between different devices without sharing (privacy sensitive) data.
+
+
+Current interests include:
+
+- Federated Learning in heterogeneous systems
+- (Distributed) Continual Learning
+- Byzantine Learning
+- Optimization of DNN inference on Edge devices