Full CV

You can view my full CV in PDF format here.

Skills & Abilities

• deep learning and neural networks, specifically CNNs, RNNs, Attention-based networks, and Adversarial Training
• 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

• research collaboration between the Institute for Big Data Analytics at Dalhousie University and MarineTraffic Inc
• did research involving fusion of AIS data streams and radar and optical-based satellite imagery for better maritime awareness
• first and second internship as part of degree at Dalhousie, second internship co-funded by a MITACS Globalink Grant
• resulted in presentation at CTFG workshop in Ottawa, a full paper at FUSION 2019 Conference, and a full paper at the Maritime Situational Awareness Workshop in La Spezia, Italy

Education

Bachelor of Computer Science, Dalhouise University, 2020

First Class Honours with Co-op

• accepted with a full scholarship, at a value of $41,900 CAD
• graduated with First Class Honours and GPA of 4.13/4.3, in top 10% of class
• wrote Honours Thesis on NLP topic (novel compact pre-trained BERT embedding), supervised by Dr. Stan Matwin
• Awarded Entrepreneurial Skills Certificate by the Norman Newman Centre for Entrepreneurship (Faculty of Management), through the Entrepreneurial Skills Program

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

• Co-founder and Program Coordinator, Hoist Halifax
• Guest Speaker, Refresh Annapolis Valley
• Youth Entrepreneurship Speaker, YES Atlantic Conference

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.