More about Me

Awards

Date	Award	Affiliation
2021	First Prize Award (Team Cogitat) Winning team at the Benchmarks for EEG Transfer Learning (BEETL) Competition NeurIPS 2021. Sponsored by Facebook Reality Labs	Ph.D. Student at Imperial College London - Machine Learning Engineer at Cogitat
2020	Doctoral Scholarship Award Stipend and Tuition Fees award for the duration of my doctoral research at Imperial College London	Ph.D. Student at Imperial College London
2019	Swiss Mobility Programme Scholarship Scholarship for getting accepted as a Master’s exchange student at ETH Zurich	M.Eng. Student at ETH Zurich
2018	Year Group Project Award Award for achieving 3rd place in our cohort in the 2nd Year Group Project module for our Braillio prototype	M.Eng. Student at Imperial College London

August 2022	“A Causal Viewpoint on Motor-Imagery Brainwave Decoding” at Oxford Machine Learning Summer School 2022 (Unconference) — Video
July 2022	“Deep Learning Techniques for Brain-Computer Interfaces” at Pre-sessional ResearchFest! (Imperial College London) — Tweet
June 2022	“Department of Computing Drop-In Demonstrations” at The Great Exhibition Road Festival — Message from the Head of Department / Announcement
May 2022	“A Causal Viewpoint on Motor-Imagery Brainwave Decoding” at BCI Society Next Gen: Trainee Spotlight 2 — Video / Announcement
February 2022	“Deep Learning Techniques for Brain-Computer Interfaces” at DoC Showcase Day (Imperial College London) - Video
December 2021	“Featuring PhD student Konstantinos” at Doc Clock (Imperial College London) — Video
November 2021	“From IoT Devices to Time-Series Insights (Part 2)” at Microsoft Ambassador Workshop Event — Video
August 2021	“From IoT Devices to Time-Series Insights (Part 1)” at Microsoft Ambassador Workshop Event — Video
August 2020	“Certifying Properties of Deep Networks by Taking them into Shallow Waters” at the Data Analytics Lab — Video

September 2022 - Present	IEEE Reviewer Reviewer for the prestigious “IEEE Transactions on Pattern Analysis and Machine Intelligence” Journal -Reviewer Profile
August 2022 - Present	Co-Organizer of London Geometry and Machine Learning (LOGML) Summer School
April 2021 - Present	Co-Organizer of Imperial Computing Conference (ICC) Responsible for organizing the talks of Petar Veličković (DeepMind), Shakir Mohamed (DeepMind), David Pfau (DeepMind), Pauline Bolignano (Amazon), Thomas Barrett (InstaDeep), Oana Cocarascu (King’s College London) and Marily Nika (Google and Harvard University)
April 2021 - Present	Beta-level Microsoft UK Student Learn Ambassador — Proﬁle
October 2020 - Present	PhD Year Student Academic Representative for the Department of Computing at Imperial College London
August 2017 - August 2020	Google Certiﬁed Associate Android Developer — Badge

2022	ELLIS Doctoral Symposium 2022 (EDS)
2022	Oxford Machine Learning School 2022 (OxML)
2022	Participant in the Project: PDE-Inspired Sheaf Neural Networks by Cristian Bodnar at LOGML2022
2022	Machine Learning Summer School MLSS
2022	Foundational Theory of Graph Neural Networks by Zak Jost
2022	Microsoft Azure Fundamentals Certiﬁcate
2022	Breaking into Technical Product Management by Marily Nika
2021	Participant in the Project: Investigating Diﬀerentiable Graph Module by Dr. Anees Kazi at LOGML2021
2021	Digital Product Management 101 Seminar by Marily Nika
2021	Catapult Energy Systems Presumed Open Data: Data Science Challenge - Place: 10th / 47 teams
2020	Oxford Machine Learning School 2020
2020	BuildForCovid19 Global Online Hackathon - Participant with Hara App
2020	McKinsey Explore 2020 - Selected to participate in the Consulting workshops
2020	Facebook AI Hackathon 2020 - Participant with RoadAI
2019	ETH ACE Datathon 2019 - Participant in the AI Challenge
2019	Edge AI Programme Scholarship (Intel & Udacity)
2019	Secure & Private AI Scholarship (Facebook & Udacity)
2019	PyTorch Scholarship Challenge (Facebook & Udacity)
2018	Self-Driving Car Nanodegree by Udacity
2018	Bosch Connected World 2018 - Participant in the Autonomous Driving Challenge
2017	Scholarship to Android Developer Nanodegree (Google & Udacity)

2019	Advanced Machine Learning Projects Projects in topics “Prediction of the age of a person from their MRI scan”, ”Multi-class classiﬁcation in an unbalanced dataset”, ”Heart rhythm classiﬁcation from raw ECG signals” and “Sleep staging classiﬁcation from raw EEG/EMG signals” - Link	Student at Swiss Federal Institute of Technology (ETH Zurich)
2019	Image Descriptors Coursework with the objective of generating descriptors for noise-corrupted local image patches in the Euclidean Space - Link	Student at Imperial College London (ICL)
2019	Asthmaway Asthmaway IoT device provides children and parents with vital real time information on the intake of their prescribed dose of inhaler medicine. Responsible for the development of the Android app and the programming of the central processing unit - Link	Student at Imperial College London (ICL)
2018	Braillio Electric kindle-like device intended to aid in the education of young visually-impaired children. Achieved 3rd place in our cohort for our prototype. Responsible for the development of the Android mobile app and the programming of the central processing unit - Link	Student at Imperial College London (ICL)
2016 - 2021	The Mouse Originals Researched and developed Eleftheria App, Hara App, RoadAI, UpliftMe, HashMe, BudgetMe and NoteMe - Link	Android Developer (The Mouse Team)

2017 - 2018	Imperial Plus Awarded Volunteer for two consecutive years Volunteer at St John & St Elizabeth Hospital, Member of #helloICU Crew, Commemoration Day Volunteer - Link
2015 - 2016	Fundraiser at Job Fair Athens Member of Fund Raising Team targeting companies in electronics, robotics and biomedical fields – responsible for recruiting 2 companies out of almost 50 that attended our event - Link