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Antonios Gasteratos

Antonios Gasteratos

Antonios Gasteratos
I was born in Athens, Greece on 10 March 1972 and brought up in Lefkimmi, Corfu, Greece.

I received the Diploma and the Ph.D. degrees both from the Department of Electrical and Computer Engineering, Democritus University of Thrace, Greece, in 1994 and 1998, respectively. The basic object of my doctoral studies was the development and implementation of fast new algorithms for non-linear image processing. In the biennium 1999-2000 I was with the Laboratory for Integrated Advanced Robotics (LIRA), Department of Communication, Computer and System Science, University of Genoa, Italy, with a TMR grant. In LIRA my research was in the area of vision and other sensing systems for mobile robots. In 2001 I carried out my military service in the corps of Research and Informatics of the Greek army. During 2002-2003 I served as visiting Lecturer for two semesters and as a visiting Assistant Professor for one semester at the Department of Electrical and Computer Engineering of the Democritus University of Thrace , teaching “Automated Electronic Measurements”, “Electrical Circuits I” and “Interfacing Digital Systems”. In May 2003 I was elected Lecturer of Robotics at the Department of Production an Management Engineering of the Democritus University of Thrace, in October 2006 Assistant Professor and in July 2012 Associate Professor at the same Department.

My research interests include: artificial vision systems, autonomous robots, sensor fusion, digital VLSI and FPGA systems design, digital signal and image processing, computer architectures and specialized processors for robotics, vision and pattern recognition. Please visit the page of our group for more information.

Specialties: Computer Vision, Robotics & Mechatronics

 

My personal webpage.

 


Angelos Amanatiadis

Angelos Amanatiadis

Angelos Amanatiadis

I am an Adjunct Lecturer at DUTH’s Electrical and Computer Engineering Department, and research associate at the Visual Computing Group.

I received my Ph.D. from DUTH, Electrical and Computer Engineering DepartmentLaboratory of Electronics. I did my undergraduate studies in the same department.

Details are available at: robotics.pme.duth.gr/amanatiadis


Athanasios Psomoulis

Athanasios Psomoulis

Athanasios Psomoulis
Soon to be completed

Loukas Bampis

Loukas Bampis

Loukas Bampis
Loukas Bampis is a Postdoctoral fellow in the field of Robotics Vision at the Laboratory of Robotics and Automation, Democritus University of Thrace. His research interests are focusing on addressing real-time Place Recognition, Localization, Mapping and Surveying tasks on unmanned aerial and mobile systems.

My personal webpage.

 

Evangelos G. Karakasis

Evangelos G. Karakasis

Evangelos G. Karakasis
Welcome and thank you for visiting my profile. I am a Computer Vision and Data Scientist with an engineering background and Ph.D. in image processing and pattern recognition. I have worked in various research projects, where I mainly involved in solving a variety of image processing & computer vision problems like:
1. robot pose estimation and tracking,
2. UAV-based area surveillance,
3. image-stitching and georeferencing,
4. DEM-based terrain 3d reconstruction.

I have also been part of a tech company, where I mainly designed and developed from scratch both the back-end data analytics in order to evaluate a person’s fitness level during running and the entire firmware that runs in a wearable device, which is capable for:
1. processing simultaneously 12 sEMG (sampling frequency at 512 Hz) and 3 acceleration signals (sampling frequency at 102 Hz) from the human body in real-time and calculate more than 40 indicators/metrics,
2. conducting classification, prediction, and online machine learning (the model adapts to each person’s gait patterns (personalization) and “decides” whether or not needs more data to effectively describe the person’s movements (self-expanded)).

Currently, I lead an excellent small team consisted of machine learning-oriented Ph.D. candidates in order to develop a non-invasive way for extracting vibration data from industrial machines and visualize their tiny motions using high-speed cameras ( > 1000 fps). Furthermore, I am responsible for designing and developing algorithms for detecting and recognizing, in early stages, potential faults or non-optimal operation of industrial machines and their root causes using both traditional ML and deep learning models.

My research interests, in general, include: • Computer Vision • Signal/Image Processing • Pattern Recognition & Classification • Machine Learning. Presently I conduct research/work on: multi-resolution image/signal decomposition • vibration amplification • anomaly detection & pattern recognition • feature description.

In my last personal project (unfortunately not publicly available yet, I hope soon enough) I develop a high level API for offering an easy way of using variety of DL blocks (inception block etc) for building and training Deep Learning models. One great characteristic of the particular API is that supports both Tensorflow and Pytorch models without changing almost nothing in your code.

Programming skills: python (NumPy, SciPy, scikit-learn, Pandas, Matplotlib, OpenCV, Keras, Pytorch), matlab, C, C++, C#, SQL, git. 


Fotios K Konstantinidis

Fotios K Konstantinidis

Fotios K Konstantinidis
Fotios K. Konstantinidis is currently a PhD candidate in the Production & Management Engineering at the Democritus University of Thrace (DUTh). His research is focused in the development of Cyber-Physical Production Systems (CPPSs) (Industry 4.0 ecosystem), that can be integrated in the existed industrial systems.

 

He had worked as Research Assistant in the developing and prototyping of a smart medical device for carpal tunnel syndrome at University of Ioannina. In addition, he has finished his military service as Junior IT consultant in the Military Research & Informatics Department.

 

Mr.Konstantinidis completed the M.Sc Programme in the Mechatronics & Systems Automation with honors at DUTh. His Thesis project, was to develop a Cyber-Physical System, consisted of machines and intelligent objects within Industry 4.0.

 

Prior to this, he completed a 5-year diploma (integrated BEng & MEng) in the same department with an upper 2:1 GPA. He was awarded a Diploma Thesis with distinction focusing on the research field of Additive Manufacturing.

 

Throughout his academic studies, he have also been involved in organising workshops and delivered presentations at conferences/workshops.

 

If you wish to contact him , he can be reached at fotios.konstantinidis@ieee.org or LinkedIn or Skype (foti_kons) or +30 6945243307.

 

Konstantinos A Tsintotas

Konstantinos A Tsintotas

Konstantinos A. Tsintotas

Konstantinos A. Tsintotas received the bachelor’s degree in automation engineering from the Technological Education Institute of Central Greece, Phachna, Greece and the master’s degree in mechatronics from the University of Western Macedonia, Kozani, Greece, in 2010 and 2015, respectively. He is currently a Ph.D. candidate in the field of robotics vision at the laboratory of robotics and automation, department of production and management engineering in the Democritus University of Thrace, Xanthi, Greece. His research interests include vision-based place recognition methods for simultaneous localization and mapping applications in mobile, autonomous robots. Details are available at https://robotics.pme.duth.gr/ktsintotas.

Vasia E Balaska

Vasia E Balaska

Vasia E Balaska
I was born in Thessaloniki, Greece on 29 March 1994 and brought up in Kavala, Greece. I received the Diploma from the Department of Production and Management Engineering, Democritus University of Thrace, Greece, in July 2017. I started my PhD in October 2017 and the basic object of my doctoral studies is the development of semantic mapping methods and their role in robotics.

My published paper
V. Balaska, L. Bambis, and A. Gasteratos, “Graph-based semantic segmentation,” in Advances in Service and Industrial Robotics, vol. 67. Springer Nature Switzerland AG: Springer, 2019, pp. 1–

Ioannis P Kansizoglou

Ioannis P Kansizoglou

Ioannis P Kansizoglou
To be completed…
Ioannis T. Papapetros

Ioannis T. Papapetros

Ioannis T. Papapetros

Ioannis Tsampikos Papapetros received his diploma from the Department of Production and Management Engineer at the Democritus University of Thrace, in 2019. Currently, he is a Ph.D. candidate in the field of Robotic Vision, at the Laboratory of Robotics and Automation. His research interests include Visual Place Recognition, Localization, and Mapping.

Vasileios Sevetlidis

Vasileios Sevetlidis

Vasileios Sevetlidis

Vasileios Sevetlidis has an academic progression characterized by diversity and distinction. He started as an undergraduate student in Informatics Engineering, where he was taught among other topics the concepts of Information theory, Algorithmics, Image Analysis, and Software Engineering. Just before his graduation, he started a collaboration with the Athena Research Center, as a research associate. During this collaboration he got exposed in emerging technologies applied in Cultural Heritage. This experience led him, later, to pursue a Master of Science in Applied Archaeological Sciences. Note, that both in his undergraduate and postgraduate studies he achieved the distinction of Summa Cum Laude. Currently, he is a PhD Candidate in the Department of Production and Management Engineers in the Democritus University of Thrace, under the supervision of Prof. Antonios Gasteratos.

His diverse interests span also in non-academic areas. At his youth, he was a swimmer competing in the Greek National Championship for several seasons. During his undergraduate studies, he was training as a marksman in air pistol shooting (Olympic sport), securing a ticket to the National Championship as well. Generally, he enjoys recreational activities in nature. He is a keen backpacker traveler, a hobby he couples with street photography, his artistic passion. Nowadays, he attends a sailing class at the weekends. He drinks a lot of coffee.

The research for his PhD thesis: “Machine learning based modular and self-configuring plug-and-work systems” involves Machine Learning in combination with Cyber Physical Production Systems (CPPS), aiming at the advancement of Industrie 4.0 technologies.

Nicholas Santavas

Nicholas Santavas

Nicholas Santavas

Nicholas holds a Diploma in Production and Management Engineering. Currently, he is a Ph.D. candidate in the Laboratory of Robotics and Automation, Department of Production and Management Engineering at the Democritus University of Thrace. His research focuses on Computer Vision, Human-Computer Interaction, Machine Learning, and Deep Neural Networks.

My personal webpage.

Christoforos G Tsompanoglou

Christoforos G Tsompanoglou

Christoforos G Tsompanoglou
Christoforos G. Tsompanoglou received his bachelor’s degree in Mathematics for the University of Patra (UOA), Greece in 2016 and his master’s degree n Applied Mathematics from the Democritus University of Thrace, Greece in 2018. Currently, he is a Ph.D. student in the Laboratory of Robotics and Automation (LRA), Department of Production and Management Engineering at the Democritus University of Thrace (DUTH). His research interests are in the fields of Data Science and Machine Learning and the main object of his doctoral studies is the community detection.
Nikolaos Nalmpantis

Nikolaos Nalmpantis

Nikolaos Nalmpantis
Nikolaos Nalmpantis received his bachelor in Production and Management Engineering from Democritus University of Thrace (DUTH), Greece in 2019. Currently, he is a Ph.D candidate in the Laboratory of Robotics and Automation (LRA), Department of Production and Management Engineering in the Democritus University of Thrace (DUTH), Greece. His research interest includes Task Decomposition through Primitives, Hierarchical Lifelong Learning and Reinforcement Learning.

Evangelos Misirlis

Evangelos Misirlis

Evangelos Misirlis
Vangelis, originally from Thessaloniki, is a student at the Democritus University of Thrace studying Industrial Engineering and Management. He has a wide variety of professional interests including Artificial Intelligence, Emotion Recognition, Psychology and Entrepreneurship. Vangelis is also passionate about software engineering, problem solving and is in tune with people around him. He strongly believes that combining both his technical and social skills he can tackle any demanding and challenging project. In his free time, he is an application developer, a mountain climber and a sailor. Vangelis lives in Xanthi, Greece.

 


Eirini Papazoglou

Eirini Papazoglou

Eirini Papazoglou
To be completed..