You can view my full CV in PDF format here.

Knowledgeable about…

  • deep learning and neural networks, specifically large language models (BERT, RoBERTa, GPT-series)
  • entrepreneurship and innovation (through startup, Shad Valley, Stanford’s University Innovation Fellows Program, and presidential role in Dalhousie Entrepreneurship Society)
  • full-stack web design and web system architecture (Python, PHP, WordPress, PostgreSQL, HTML/CSS/JS)

Teaching

Winter 2021: Teaching Assistant at Dalhousie University

Halifax, Nova Scotia, Canada

  • CSCI 3162 Digital Media, with Dr. Dirk Arnold

Fall 2020: Teaching Assistant at Dalhousie University

Halifax, Nova Scotia, Canada

  • CSCI 3141 Foundations of Data Science using R, with Dr. Luis Torgo
  • CSCI 2170 Server-side Scripting, with Dr. Bonnie MacKay
  • CSCI 2141 Intro to Database Systems, with Dr. Khurram Aziz

Work Experience

Winter 2021: Student Researcher at Dalhousie University

Halifax, Nova Scotia, Canada

  • Research assistantship with Dr. Luis Torgo, researching healthcare-related time series clustering and classification

Fall 2019: Research Intern at Know-Center GmbH

Graz, Austria

  • researched active learning, recommender systems
  • advanced existing research project “Risk-ID”, an interactive dataset labelling tool for network traffic data
  • implemented ML backend in Keras and Tensorflow, Attention-Layer-based visualization, Active-Learning mode of function
  • designed user study to evaluate effectiveness of changes to tool

Summer 2018, Winter 2019: Research Intern at MarineTraffic Inc./Dalhousie University

Athens, Greece

Education

Bachelor of Computer Science, Dalhouise University, 2020

First Class Honours with Co-op

Leadership

Co-president, Dalhousie Entrepreneurship Society

  • introduced series of workshops on entrepreneurship and design thinking concepts, open to students of all faculty, with the support of the NNCE/Faculty of Management

Stanford University Innovation Fellow for Dalhousie

  • passed through rigorous 2-month online training, then 4-day conference in Silicon Valley (Stanford Campus and Google headquarters) to meet all other Fellows from all over the world
  • funded by the NNCE

SHAD Fellow

Volunteering

Languages

  • English (native)
  • Greek (native)
  • French (B2 level of CEFR)

Academic Publications

  • K. Bereta, A. Milios, K. Chatzikokolakis, and D. Zissis, “Monitoring Marine Protected Areas using Data Fusion and AI Techniques,” NATO CMRE Maritime Situational Awareness Workshop, La Spezia, Italy, 8-10 October 2019. Link [Peer-Reviewed]
  • A. Milios, K. Bereta, K. Chatzikokolakis, D. Zissis and S. Matwin, “Automatic Fusion of Satellite Imagery and AIS data for Vessel Detection,” 2019 22th International Conference on Information Fusion (FUSION), Ottawa, ON, Canada, 2-5 July 2019. Link [Peer-Reviewed]

Workshop Presentations

  • A. Milios, D. Zissis, K. Chatzikokolakis, and S. Matwin, “Sail ho! A deep learning approach for ship detection which utilises complimentary sensing capabilities, “ 2018 Canadian Tracking and Fusion group (CTFG) Workshop, Ottawa, ON, Canada, 15-16 October 2018.