Aristides Milios

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, React, PostgreSQL)

Admitted to the M.Sc. program at McGill University under Dr. Siva Reddy. Co-supervised by Dr. Dzmitry Bahdanau.

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

Research assistantship with Dr. Luis Torgo, researching healthcare-related time series clustering and classification
Research assistantship with Dr. Stan Matwin, researching large pre-trained language models and the societal risks they pose (resulted in survey paper, see Publications)

Third co-op work term of degree at Dalhousie
Researched Active Learning techniques for Recommender Systems, RNNs with Attention
Worked on existing research project “RiskID”, wrote an ML backend in Keras, implemented an Attention-based visualization and an Active Learning-based mode of function
Helped design a user study to evaluate the effectiveness of the changes to the tool

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
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 (see Publications)

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

passed through rigorous 2-month online training, then 4-day conference in Silicon Valley (Stanford Campus and Google headquarters) to meet other Fellows from around the world
funded by the Norman Newman Centre for Entrepreneurship

NSERC CGS-M grant ($17.5K value)
McGill Lorne Trottier Graduate Fellowship ($5K value)
MITACS Globalink Grant for second co-op term at Dalhousie ($6K value)
Dalhousie Schulich Scholarship ($41.9K value)
Dalhousie Bruce and Dorothy Rossetti Scholarship Silver Award for a Second-Year student, for having the second-best GPA of my year ($1750 value)

S. Matwin, A. Milios, P. Pralat, A. Soares, and F. Theberge, “Survey of Generative Methods for Social Media Analysis”, arXiv preprint: https://arxiv.org/abs/2112.07041
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]

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.