Dr. Alexandros Gazis
Electrical and Computer Engineering, Democritus University of Thrace, Xánthi, Anatolikí Makedonía kai Thráki, Greece
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Academic Career Length
10Years (2017-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications7 June 2021 in Academia Letters
Journal Article
Alexandros GazisWhat is IoT? The Internet of Things explained
1 January 2021
Journal Article
Alexandros GazisEKEleftheria Katsiri
Eleftheria Katsiri
Computer scientists and researchers have focused their efforts on advancing from traditional computing techniques to the use of “Industry 4.0”. Specifically, this term includes breakthroughs in numerous fields, including manufacturing, Artificial Intelligence, machine learning and data science. Additionally, emphasis is placed on the so-called “Internet of Things”, i.e. the development of interconnected devices capable of communicating and processing information, mainly from sensory networks. This article presents electronic devices used for home automation. Specifically, it presents different types of residential sensors which can transform a traditional house to a “smart home”. Furthermore, it reviews their possible uses, such as for ventilation, security and temperature monitoring. Lastly, for each of the sensors, the article recommends low-cost sensory devices to set up affordable home automation projects, such as an Arduino and a Raspberry Pi.
5 May 2020 in Engineering Reports
Journal Article
Alexandros GazisEKEli Katsiri
Eli KatsiriThis article presents a Wireless Sensor Network (WSN) system, developed to monitor concealed box‐shaped underground passages to protect wildlife. The system's purpose is to recognize the species of passengers (ie, human, canis, flying species, and so on) without using video sensors (image recognition) through data provided by sensors that measure distance and weight. Moreover, the information provided by the WSN was analyzed via a variety of methods, including a neural pattern recognition network, as well as clustering algorithms, which were able to recognize the species of passengers with certainty scores of over 90%. The main concern for future study is the evaluation of these passages, which are frequently located along main highways, and using data fusion to evaluate low‐cost and low‐power microsensors regarding their effectiveness, that is, whether they are frequently utilized by animals.
1 April 2020 in International Review of the Red Cross
Journal Article
TGTheodora Gazi
Theodora Gazi
Alexandros GazisThe COVID-19 pandemic has served as a wake-up call for humanitarian aid actors to reconsider data collection methods, as old ways of doing business become increasingly obsolete. Although access to information on the affected population is critical now more than ever to support the pandemic response, the limitation of aid workers’ presence in the field imposes hard constraints on relief projects. In this article, we consider how aid actors can use “big data” as a crisis response tool to support humanitarian projects, in cases when the General Data Protection Regulation is applicable. We also provide a framework for examining open-source platforms, and discuss the advantages and privacy challenges of big data.
25 December 2019 in IEEE Potentials
Journal Article
There is a lot of buzz regarding the automobile industry, and the dominant goal for car manufacturers is to enhance drivers' experiences. Engine optimization and alternative fuels have made progress toward their full potential; so the next step is creating self-driving vehicles. The first group to explore this idea was DARPA in the early 2000s. Since 2010, major technological advancements have been achieved. As crazy as it may sound, self-driving vehicles are being developed, and research funding has shifted toward this goal. The future is coming, and within the next decade, the first commercial prototypes are expected to be available for mass use.
1 June 2021 in ITNOW
Journal Article
Alexandros GazisTGTheodora Gazi
Theodora Gazi
Big data is not just another buzzword, write Alexandras Gazis, PhD candidate at the Democritus University of Thrace, School of Engineering and Theodora Gazi, PhD candidate at Athens University Law School. So, which industry fields can benefit from its use?
About Me
Alexandros Gazis (agazis@ee.duth.gr) received his diploma in Electronic and Computer Engineering and his MSc in Microelectronics and Computer Systems from the Democritus University of Thrace, Greece, in 2016 and 2018, respectively. Since 2018, he has been a PhD candidate at the same university in the field of computer science and a member of its "Operating Systems and Middleware for Pervasive Computing and Wireless Sensor Networks" research group. Moreover, he is a Teaching Assistant and a Lab Demonstrator, supervised by Assistant Professor Eleftheria Katsiri. Mr. Gazis is a member of the Technical Chamber of Greece and he works in the private sector as a Software Engineer in core banking systems. He has published articles on artificial intelligence, web data analytics, remote sensing, and neural networks. His research focuses on the Internet of Things via wireless sensor networks, cloud computing, and middleware development for pervasive computing.
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