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
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
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)
- 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.