What makes MIT the best polytechnic school in the world? Why should engineers recount nice stories? Why is Artificial Intelligence the best thing happened to Humanities? What lessons can a polytechnic school take from a kindergarten? How do electrical engineers outweigh? An attempt of distilling experience of 24 years in 45 minutes.

Michalis Bletsas is Researcher and Director of Informatics at MIT's Media Lab.

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Will be announced soon...

Asterios Zafeirakis works as a Special Adviser to the President and Managing Director of HEDNO.

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Will be announced soon...

Panagiotis Bamidis is Assoc. Professor of Informatics & Medical Education at the Medical Physics Laboratory of the School of Health Sciences at the Aristotle University of Thessaloniki.

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Papers which are part of this session will be posted soon.

Lighting up the data rate: On the integration of lightwave technology in wireless networks

The Wireless Communications Systems Group (WCSG) belongs to the Digital Telecommunications Systems and Networks Laboratory of the Electrical and Computer Engineering Department of Aristotle University of Thessaloniki, Greece.

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SPEECHES

Stelios Siskos: Energy Harvesting - Perpetual Power Supply for IoT applications

Kostas Siozios: High-Performance Computing in the Era of Big-Data Analytics

Grigoris Kalogiannis: System-on-Chip Design Flow and FPGA Prototyping

On this segment, attendees will have the oportunity to get in touch with entrepreneurship. Through a series of talks, they will receive useful advice on how to get started, they will be inspired by the speakers' experiences and they will be aware of the difficulties and obstacles that one can encounter.

SPEECHES

Lefteris Papageorgiou: Startups: From the idea, to the global market. Opportunities, mistakes, the unpredictable.

Dimitris Kourtesis: The risk of innovation and the most common mistakes in starting a technological startup

Live streaming of speech held in Main Ceremony Hall

What makes MIT the best polytechnic school in the world? Why should engineers recount nice stories? Why is Artificial Intelligence the best thing happened to Humanities? What lessons can a polytechnic school take from a kindergarten? How do electrical engineers outweigh? An attempt of distilling experience of 24 years in 45 minutes.

Michalis Bletsas is Researcher and Director of Informatics at MIT's Media Lab.

For more information...

Live streaming of speech held in Main Ceremony Hall

Will be announced soon...

Asterios Zafeirakis works as a Special Adviser to the President and Managing Director of HEDNO.

For more information...

Live streaming of speech held in Main Ceremony Hall

Will be announced soon...

Panagiotis Bamidis is Assoc. Professor of Informatics & Medical Education at the Medical Physics Laboratory of the School of Health Sciences at the Aristotle University of Thessaloniki.

For more information...

In this session the teams ASAT, IEEE Greece section, IEEE Auth SB, Robotics ΔΠΘ, BEST, Xomahos, Beam and Aristurtle will be presented.

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SPEECHES

Giorgos Mamalakis + Charis Karamitas: dev, ops, db, net, sec and various combinations in the modern market

This workshop is aimed at Electrical Engineers and Computer Engineers and anyone who wants to learn more about the High Voltage System of the electric vehicle which includes the Accumulator Container, the Inverter and the Electric Motors.

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Location: KEDEA, Auditorium 1, AUTH

Machine learning provides a fast and flexible way to build predictive models, and is used for tasks ranging from predicting the stock price to diagnosing a disease. This workshop is an introduction to machine learning and its technologies and aims on applying machine learning to a real-world problem.

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Location: KEDEA, Auditorium 3, AUTH

The purpose of the workshop is to present the system of electronics of a formula-style race car and specifically of Aristotle's Racing Team car which contains the battery, the engine control unit, the Data Acquisition system and the wiring.

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Location: KEDEA, Foyer, AUTH

People learn from the experiences they face every day but machines operate very differently, following some orders given from their programmers. What could happen if we trained machines to learn from their past and do what we do even faster?

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Location: KEDEA, Auditorium 1, AUTH