pmonahelis

About Panos

This author has not yet filled in any details.
So far Panos has created 97 blog entries.
27 10, 2019

NKaftatzis

2020-07-10T12:26:08+03:00

Nikos Kaftantzis Research associate . Brief CV Nick Kaftantzis was born in Athens, in 1994, and he is a senior student at the Electrical & Electronics Engineering department of University of West Attica. He has experience and skills that he acquired when he worked at Stackmasters. His current research interests include OpenStack, Ansible, Cloud Computing and Blockchain, technologies as well as their applications and implementations. Currently, he is a junior researcher at the CoNSeRT team of UniWA.

NKaftatzis2020-07-10T12:26:08+03:00
27 10, 2019

EBocaj

2020-07-10T11:23:10+03:00

Enkeleda (Eda) Bocaj Phd Candidate .       Brief CV Enkeleda Bocaj was born on 1990 in Fier, Albania. She received a Bachelor degree in Automation Engineering from Piraeus University of Applied Science in 2016 and holds a Data Science MSc from the Department of Informatics of Athens University of Economics and Business. Experienced researcher with a demonstrated history of working in higher education institutes. She was a data analysis developer and machine learning engineer at the Polytechnic Institution of Bragança and has participated in several research and development projects. Her research interests include data mining, machine learning, statistics, and artificial intelligence. She is currently a Ph.D. candidate at the Department of Electrical & Electronics Engineering of the University of West Attica. The subject of his PhD research is associated with machine learning techniques and visualization in big data. Bocaj is working as a researcher in CoNSeRT team of Computer Networks Lab of Electronics Engineering Department of Piraeus University of Applied Sciences.

EBocaj2020-07-10T11:23:10+03:00
27 10, 2019

CGiannousis

2020-07-10T11:52:09+03:00

Christos Giannousis Phd Candidate .     Brief CV Christos Giannousis received his Computer Engineering Bachelor's  degree from the Piraeus University of Applied Sciences in 2017 and he  holds a Master Degree (M.Sc.) in "Advanced Informatics and Computing Systems" from the University of Piraeus. Currently he is a PhD Candidate at the Department of   Electrical and Electronics Engineering of the University of West Attica  and the subject of his PhD is Intelligent personal assistants using Artificial Intelligence. Also he is a  research associate in CONSERT Lab, working as software engineer. His research interests include IoT, machine  learning and applications for mobile devices.

CGiannousis2020-07-10T11:52:09+03:00
27 10, 2019

CChatzigeorgiou

2020-07-10T11:21:05+03:00

Christos Chatzigeorgiou Phd Candidate .     Brief CV Christos Chatzigeorgiou, received the Bachelor’s degree in "Electronics Engineering" and the M.Sc. degree in "Internetworked Electronic Systems" from the Piraeus University of Applied Sciences, Aigaleo, Greece. He is currently working toward the Ph.D. degree with the Department of Electrical and Electronics Engineering, University of West Attica. His research interests include mobile and wearable computing, privacy, internet of things, and machine learning.

CChatzigeorgiou2020-07-10T11:21:05+03:00
17 10, 2019

Open Courses_1

2022-04-23T00:27:37+03:00

OPEN COURSES Type of Project: Educational / Development Start date: 1/03/2012 End date: 30/11/2015 Description:  Forging Online Education through FIRE (FORGE) is a project proposal bringing the FIRE and eLearning worlds together. FORGE will align FIRE with the ongoing education revolution for mutual benefit. In particular, this project is concerned with specifying development methodologies and best practices for offering FIRE experimentation facilities to learners and to the learning community in general, related both to communications and IT but also to other disciplines including the sciences and social sciences, leading to a strong connection between the learning community and existing FIRE platforms and supporting tools.

Open Courses_12022-04-23T00:27:37+03:00
17 10, 2019

Forge_1

2022-04-23T00:27:32+03:00

FORGE - FORGing online Education through FIRE FIRE (Future Internet Research and Experimentation) Type of Project: FP7 ICT Research project Start date: 1/10/2013 End date: 30/9/2016 Total Cost: 2.413.870 € Role: Affiliate partner Description:  Forging Online Education through FIRE (FORGE) is a project proposal bringing the FIRE and eLearning worlds together. FORGE will align FIRE with the ongoing education revolution for mutual benefit. In particular, this project is concerned with specifying development methodologies and best practices for offering FIRE experimentation facilities to learners and to the learning community in general, related both to communications and IT but also to other disciplines including the sciences and social sciences, leading to a strong connection between the learning community and existing FIRE platforms and supporting tools.

Forge_12022-04-23T00:27:32+03:00
17 10, 2019

Mevlana_1

2022-04-23T00:27:07+03:00

MEVLANA Type of Project: Educational Period: 1/12/2016 - 31/05/2017 Link: http://mevlana.en.ankara.edu.tr/ Description: MEVLANA project supports the exchange of students and professors between Turkish and Greeks Academic Institutions. Piraeus University of Applied Sciences (PUAS) collaborates with Izmir Institute of Technology (IZTECH) for this project for an exchange of tutors (Assistant Pr. Serap Sahin from IZTECH and Associate Pr. Patrikakis Charalampos and Adjunct Pr. Kogias Dimitrios from PUAS) in order to deliver seminar lessons on encryption, privacy, Internet of Things (IoT) and graphs and one student (Burcu Sayin form IZTECH). The student must deliver her thesis during the project, while the results, on the topics that will be covered by the seminar lessons, are encouraged to be submitted as an academic paper in a journal or conference.

Mevlana_12022-04-23T00:27:07+03:00
17 10, 2019

Trillion

2022-04-23T00:26:45+03:00

TRILLION - Trusted, cItizen - Lea coLlaboratIon over sOcial Networks Funding Program: Horizon (H2020-EU.3.7.) Topic: FCT-14-2014 - Ethical/Societal Dimension Topic 2: Enhancing cooperation between law enforcement agencies and citizens - Community policing Type: RIA - Research and Innovation action Period: 1/9/2015 - 31/8/2018 Total Cost: 4.263.408 € Grant agreement: N°653256 Role in the Project:  Scientific Coordinator Link:  https://trillion-project.eng.it/ Cordis link: https://cordis.europa.eu/project/id/653256 Description: TRILLION proposes an open, flexible, secure and resilient socio-technical platform to foster effective collaboration of citizens and law enforcement officers. Using the TRILLION platform, citizens will be able to report crimes, suspicious behavior and incidents, identify hazards and assist law enforcement agents through active participation for achieving better urban security management. On the other hand, Law Enforcement Agencies (LEAs) will be able to detect incidents in a more efficient, content and context aware manner, locate onsite citizens, other LEA representatives and first responders communicate with them, request more information and assign them specific actions to address on-going incidents.

Trillion2022-04-23T00:26:45+03:00
17 10, 2019

Storm_1

2022-04-23T00:25:46+03:00

STORM - Safeguarding cultural heritage through Technical and Organisational Resources Management Funding Program: Horizon (H2020-EU.3.5., H2020-EU.3.7.) Topic: DRS-11-2015 - Disaster Resilience & Climate Change topic 3: Mitigating the impacts of climate change and natural hazards on cultural heritage sites, structures and artefacts Type of Project: Research and Innovation Actions Period: 01/06/2016 - 31/05/2019 Links: http://www.storm-project.eu/ https://cordis.europa.eu/project/rcn/202681/factsheet/en Total Cost: 7.297.875 € Role in the Project:  Scientific Coordinator Description STORM plans to introduce an integrated framework and a platform providing tools and services both at macro level to give a global view of the entire value chain and at specific level to promote the improvement of specific processes for protection and prevention. A novelty of STORM is to promote both views in the same framework; STORM will allow users to address each single issue within a simple process supported by the related technology. The STORM integrated framework will manage those modules to give a view that can be drilled down to give stakeholders the possibility to improve it. To support this, STORM will introduce a system to identify existing processes adding critical relationship management automation to improve the process itself. STORM aims to provide critical decision making tools to all European Cultural Heritage stakeholders affected by climate change and natural hazards. This will be a new innovative capability to improve existing processes related to three identified areas: Prevention, Intervention and Policies, planning and processes. View Demo (EcoBox)

Storm_12022-04-23T00:25:46+03:00
10 10, 2019

HanGeR

2020-07-19T13:18:52+03:00

HanGeR (Hand Gesture Recognition) HanGeR is a wearable application, used to capture data from smart watches with 3-axial accelerometers and gyroscopes, while making specific gestures. The data collected feed a dataset for training a Deep Learning model, in order to support hand gesture recognition. The application is available both for Apple watches and Android wear devices. Hanger - Athens Science Festival Technopolis, City of Athens April 24-29, 2018 Currently, capturing data for 6 gestures is available:     “Eating” Where the user is asked to use a fork and provide accelerometer and gyroscope measurements for detection of eating.     “Reach for wallet” Where the user is asked to reach for his/her wallet and provide accelerometer and gyroscope measurements for detection of the actions taken when someone is reaching for his/her wallet in his/her back pocket.     “Reach for wallet (fake action)” Where the user is asked to make a certain movement (tap two times on his/her back pocket) before reaching for his/her wallet and provide accelerometer and gyroscope measurements for detection of this distress signal movement, which could indicate a robbery.     “Hands up” Where the user is asked to put his/her hands up, in order to provide accelerometer and gyroscope measurements for detection of a possible life threatening situation.     “Distress signal” Where the user is asked to shake his/her hand three times, while pointing down, in order to provide accelerometer and gyroscope measurements for detection of a stressful or dangerous situation.     “Wave” Where the user is asked to wave, as if hailing someone with his/her hand up, in order to provide accelerometer and gyroscope measurements for detection of waiving. The applications are able to collect data continuously, while triggering of the above gestures can be done through the user’s mobile phone. In particular, the captured motion data are emitted to the tethered smartphone and are fed to the trained Deep Learning model, which is deployed to the smartphone. The Deep Learning model classifies them real-time into the aforementioned 6 categories. Researchers in charge of the project: Christos Chatzigeorgiou Lazaros Toumanidis

HanGeR2020-07-19T13:18:52+03:00
Load More Posts