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Blockchain architecture for food supply chains
(30-09-2021) Katsara, Ioanna; Κατσάρα, Ιωάννα; Athens University of Economics and Business, Department of Informatics; Polyzos, George C.; Siris, Vasilios; Voulgaris, Spyridon
The immutability and decentralization of Blockchain technology provide a continuous motivation for its use in various aspects of everyday needs. Its application on the Food Supply Chain (FSC) can play an important role in the safe and secure transferring of items from production to consumption. FSCs comprise a number of diverse stages with different qualitative properties, as well as different quantitative requirements, in terms of the processing throughput that they are expected to support. In case of faulty products there is a need for traceability in order to detect the stage of the process which needs improvement and to minimize the probability of low-quality deliveries. Thus, by building a decentralized system and saving the data required throughout the process, quality control can become more dependable. With blockchain-based traceability, trust is not required among participants and the information of sensors from the different stages can assist in detecting the user and the reason for the faulty products. In this thesis, we present and evaluate an architecture of a blockchain traceability system with a combination of public and private ledgers which allows the implementation of multiple FSCs with $k$ different stages. Our system can support countless products and companies by connecting to multiple ledgers instantaneously and with the assistance of a load balancer. The load balancer in case of overload on the activated private blockchains has the ability to include an extra ledger for additional throughput.
An online course recommendation system for career paths
(12-11-2020) Panagou, Maria; Πανάγου, Μαρία; Athnes University of Economics and Business, Department of Informatics; Koutsopoulos, Iordanis; Kalogeraki, Vana; Voulgaris, Spyridon
Online courses have become extremely popular these days, as more and more universities, institutes and companies are offering online courses available for anyone. These courses provide an affordable and flexible way to learn new skills, advance your career and deliver quality educational experiences at scale. Millions of people around the world enroll to online courses to learn for a variety of reasons including: career development, changing career, college preparation, supplemental learning, lifelong learning, corporate eLearning & training, and more. However, despite the popularity of online education, vast groups of people consciously stay away from such methods, mostly due to the wide variety of courses and the growing number of available online courses. In this context, recommendation systems can play a decisive role in making better and wiser decisions that can affect someone’s future. In this thesis, a proof-of-concept of an online course recommendation system is proposed that aims to improve users’ career readiness by suggesting relevant skills and courses based on their unique career interests.