Διδακτορικών Προγραμμάτων

The Athens University of Economics and Business, in its effort to continuously improve and redesign its offered services, provides the opportunity to express complaints, requests and comments regarding the quality of its services, to all students.

To submit complaints/requests, students are invited to use the online form at the link: https://www.aueb.gr/en/complaints-form

Τhe Rectory

We are pleased to invite you to the International HERMES Ph.D. Workshop 2023: “Data Science in Business”, organized by the Department of Statistics, Athens University of Economics and Business, that will take place in Athens, Greece, on June 7^th and 8^th, 2023, at the premises of the Athens University of Economics and Business.

With topics ranging, from Forensic Science and the Pandemic Economic Crisis, all the way to Deep Learning, Time Series models and High-Resolution Data Analysis, on matters of environmental interest, the Workshop is intended to foster the exchange of ideas and networking among Ph.D. students from various different fields.

The Workshop’s participants also come from a rather diverse background, making this event the perfect opportunity for insightful, multicultural research exchange between: Technische Universität Dresden, Università di Pavia, Università Ca'​ Foscari Venezia, University of Economics in Bratislava, Universidad de Alcalá, Academia de Studii Economice din București, Leopold-Franzens Universität Innsbruck and the Department of Statistics, Athens University of Economics and Business.

The meeting will be characterized by informal discussions and exchange of ideas between participants.

For more information, please refer to the Workshop's official Website: https://lnkd.in/dHwWCqna

The Workshop’s Program may be found here:https://lnkd.in/deiVGwEX

On Monday, May 29, 2023, from 19:00 to 21:00, a seminar on "AI and Tech: Innovation, Opportunities and Risks for Business and Society" will be held by Professor Theodoros Eugeniou, in Room A24 of the main building (76 Patision Street) of the Athens University of Economics and Business.

Dr. Theodoros Eugeniou is a Professor of Decision Sciences and Technology Management at INSEAD Business School in France and Visiting Professor at the Department of Management Science and Technology of AUEB.

The seminar will take place in the English language and is addressed to the postgraduate and doctoral students of the AUEB's programs as well as to the students of the Erasmus program.

To watch the seminar, you need to register at the link: https://forms.gle/B22437N431bf3EWw6

Seminar Description:

«Tech innovations - for example internet and AI based ones - have been the focus of startups, large businesses, investors, and research for a couple of decades, with impressive results. With hindsight, it may come as a surprise that only recently – perhaps the past 5-10 years – we started to also closely consider the potential risks these technologies can create. Regulators are also developing several new requirements for online platforms and for using AI in practice. Technological progress may not only prove risky but also risks slowing down if we do not manage both tech opportunities and risks at the same time. The recent letter of Musk and others to “pause AI progress” testifies to this. How can we balance these? What does it mean for business, society, and potentially even (geo)politics? How can you participate in this unfolding global game as managers or entrepreneurs and create value for yourself, your organizations, your country, and the world?»

Short biography of Speaker:

Dr. Theodoros Eugeniou is Professor of Decision Sciences and Technology Management at INSEAD (France) and Director of the Executive Program "Transforming your Business with AI". He holds four degrees from MIT (BSc in Mathematics and BSc, MSc and PhD in Computer Science).

He has been working in research in the scientific areas of Machine Learning and Artificial Intelligence for the past 25 years, on topics such as artificial intelligence innovations to optimize business processes and improve decision-making in marketing and finance, the institutional framework for artificial intelligence, as well as new methods machine learning.

He has published over 70 scientific articles, several of them in leading scientific journals. He is a Member of the OSA Artificial Intelligence Expert Network, a BCG Henderson Institute Consultant and an Academic Advisor on Artificial Intelligence to the World Economic Forum. He has been awarded twice (2005 and 2007) with the European Case Study Award in the "Knowledge, Information & Communication Systems Management" category.

UNESCO Chair on Digital Methods for the Humanities and Social Sciences

Seminar Series: Digital Work

Wednesday, 15 March 2023, 4:30 p.m.
Trias Building, Room 107, Trias 2 & Spetson, Athens 11362

and online via: https://www.dept.aueb.gr/el/dmh/LiveSeminar

Speakers:
Dr. Yannis Assael, Staff Research Scientist, Google DeepMind
Dr Thea Sommerschield, Marie Skłodowska-Curie fellow, Ca' Foscari University of Venice
Dr. John Pavlopoulos, Researcher, Athens University of Economics and Business

Topic: Predicting the past: AI for Ancient Greek Epigraphy

Abstract

Ancient history relies on disciplines such as epigraphy - the study of inscribed texts known as inscriptions - for evidence of the thought, language, society and history of past civilizations. However, over the centuries, many inscriptions have been damaged to the point of illegibility, transported far from their original location and their date of writing is steeped in uncertainty. In this talk we will present Ithaca, the first deep neural network for the textual restoration, geographical attribution and chronological attribution of ancient Greek inscriptions. Ithaca is designed to assist and expand the historian’s workflow. The architecture of Ithaca focuses on collaboration, decision support and interpretability. While Ithaca alone achieves 62% accuracy when restoring damaged texts, the use of Ithaca by historians improved their accuracy from 25% to 72%, confirming the synergistic effect of this research tool. Ithaca can attribute inscriptions to their original location with an accuracy of 71% and can date them to less than 30 years of their ground-truth ranges, redating key texts of Classical Athens and contributing to topical debates in ancient history. Ithaca actively demonstrates how Artificial Intelligence can unlock the cooperative potential of the Sciences and the Humanities, for a better understanding of our nature and transformationally impacting the study of one of the most significant periods in human History.

Yannis Assael

Dr. Yannis Assael is a Staff Research Scientist at Google DeepMind working on Artificial Intelligence, and he is featured in Forbes' "30 Under 30" distinguished scientists of Europe. In 2013, he graduated from the Department of Applied Informatics, University of Macedonia, and with full scholarships, he did an MSc at the University of Oxford, finishing first in his year, and an MRes at Imperial College London. In 2016, he returned to Oxford for a DPhil degree with a Google DeepMind scholarship, and after a series of research breakthroughs and entrepreneurial activities, he started as a researcher at Google DeepMind. His contributions range from audio-visual speech recognition to multi-agent communication and AI for culture and the study of damaged ancient texts. Throughout this time, his research has attracted the media's attention several times, has been featured on the cover of the scientific journal Nature, and focuses on contributing to and expanding the greater good.

Thea Sommerschield

Thea Sommerschield is a Marie Skłodowska-Curie fellow at Ca’ Foscari University of Venice. Her research uses machine learning to study the epigraphic cultures of the ancient Mediterranean world. Since obtaining her DPhil in Ancient History at the University of Oxford in 2021, she has been the Ralegh Radford Rome Awardee at the British School at Rome, Fellow in Hellenic Studies at Harvard’s Center for Hellenic Studies and Research Innovator at Google Cloud. She co-led the Pythia (2019) and Ithaca (2022) projects, and has worked extensively on Sicilian epigraphy.

John Pavlopoulos

John Pavlopoulos is a researcher currently affiliated with the Athens University of Economics and Business (AUEB) and Stockholm University (SU). Before that, he was a visiting scholar at Ca' Foscari University of Venice (Venice Centre for Digital and Public Humanities) and a senior lecturer (fixed-term) at SU. His BSc was in Applied Mathematics and Physical Sciences at the National Technical University of Athens, his MSc was in Artificial Intelligence at the University of Edinburgh, and his Ph.D. at AUEB was focused on aspect-based sentiment analysis. His research is focused on machine learning for natural language processing and his recently published work concerns opinion polarization, toxic language detection and mitigation, diagnostic captioning, Homeric computational authorship analysis, and Ithaca.

Applied Doctoral Research Program

1st Announcement/Invitation

1/4/2002

The Athens University of Economics and Business, recognizing the need to link applied research with the market, proceeded, in the framework of the recent cooperation agreement with SEV (Hellenic Federation of Enterprises) to the adoption of the "Applied Doctoral Research" program. The Program concerns the co-financing of doctoral research conducted by AUEB students, 50% by the companies participating in the program and 50% by ELKE/AUEB. The objective is to link AUEB research with the needs of improving the competitiveness of SEV member companies, especially industry members. In the first implementation of the program, six (6) PhD Candidate positions will be announced in Digital Transformation and cutting-edge topics in Information and Communication Technologies, Management Science and Business Administration in the era of the 4th Industrial Revolution, Statistics, Accounting and Finance, Economics and Marketing in the digital age.

Faculty members of the Athens University of Economics and Business are invited to submit a research proposal in collaboration with a company / industry operating in Greece and the doctoral candidate selected by the General Assembly of the relevant department. The supervisor of the project states that he/she undertakes the supervision, and together with the collaborating company / industry they provide the necessary means for the implementation of the project, in addition to the coverage described in this announcement/invitation.

AUEB’s faculty members who wish to participate in the program can express interest by filling out the form until 15/4/2022 according to the text of the 1st call for proposals and the terms of the program.