- Anaerobic Digestion and Biogas Production
- Catalysts for Methane Reforming
- Biofuel production and bioconversion
- Carbon Dioxide Capture Technologies
- Microbial Metabolic Engineering and Bioproduction
- Teaching and Learning Programming
- Thermochemical Biomass Conversion Processes
- Experimental Learning in Engineering
- Microbial metabolism and enzyme function
- Non-Destructive Testing Techniques
- Robotic Path Planning Algorithms
- Microbial Fuel Cells and Bioremediation
- Magnetic Field Sensors Techniques
- Advancements in PLL and VCO Technologies
- Digital Mental Health Interventions
- Mobile Learning in Education
- Mental Health via Writing
- Assisted Reproductive Technology and Twin Pregnancy
- Evolution and Genetic Dynamics
- Parallel Computing and Optimization Techniques
- Psychological Well-being and Life Satisfaction
- Hemodynamic Monitoring and Therapy
- COVID-19 and Mental Health
- Human Motion and Animation
- Advancements in Semiconductor Devices and Circuit Design
University of Patras
2018-2025
Technical University of Denmark
2018-2022
Osys Technology
2019-2021
Novo Nordisk Foundation
2020
National Technical University of Athens
2019-2020
Institute of Metallurgy and Materials Science
2014
This review paper explores the most common technologies of vector magnetic field sensors. Specifically, AMR, GMR, TMR, GMI, Hall, Fluxgate, Search Coil and SQUID sensors are considered. The physical phenomena that permit their operation as well structure operating principles each sensor presented. In addition, basic linear, time-invariant error sources described along with some popular calibration techniques. Finally, representative application examples described.
Gas fermentation processes have attracted considerable attention in recent years as they hold high potential for capturing and converting C1 waste gases into a range of biofuels commodity chemicals. The production solvents gas is typically achieved by exploiting the solventogenic metabolism acetogenic cultures, which generally triggered upon exposure to stressful conditions, e.g. low pH. Although oxidoreduction (ORP) well-known trigger cellular stress response, it has been scarcely...
Approximate computing appears as an emerging and promising solution for energy-efficient system designs, exploiting the inherent error-tolerant nature of various applications. In this paper, targeting multiplication circuits, i.e., energy-hungry counterpart hardware accelerators, extensive exploration error--energy trade-off, when combining arithmetic-level approximation techniques, is performed first time. Arithmetic-aware approximations deliver significant energy reductions, while allowing...
As drug resistance continues to grow, treatment strategies that turn into a disadvantage for the organism will be increasingly relied upon treat infections and lower rate of multidrug resistance. The majority work in this area has investigated how evolution toward single antibiotic effects specific organism's collateral response wide variety antibiotics. results these studies have been used identify networks drugs which can drive particular direction. However, little is known about extent...
Early School Leaving (ESL) has a negative impact in the European educational systems. Despite fact that ESL is result of long process school failures, it seems part to do with specific practices. Furthermore, latest studies show adoption Robotics (ER) could help regain student's interest school. In this article, authors present teaching approach using Educational Robotics. Within RoboESL Erasmus project, aims encourage weaker students maintain positive attitude towards and at same time...
Purpose: The implementation of quarantine measures in response to the COVID-19 pandemic presented challenges linked adverse psychological effects, notably affecting individuals' eating patterns. This study aimed investigate patterns individuals during lockdowns compared across sex, age, and income levels, examine influence positive negative emotions, as well loneliness, on these Methods: A cross-sectional online was conducted with 450 participants (aged 18-74 years old). One questionnaire...
The integration of the Engineering Design Process (EDP) in STEM education has proven to be an effective pedagogical approach, fostering critical thinking, problem-solving, and collaborative skills among students. This paper presents a case study project involving design, creation, programming crane’s control circuit unit, utilizing environments platforms such as Tinkercad Micro:Bit. phases include introduction scientific engineering concepts cranes, programming, simulation, physical...
A time-dependent, flexible, 2-dimensional fine thoracic Finite-Element model for continuous lung Electrical Impedance Tomography (EIT) imaging is presented. It can be used as a tool to identify EIT hardware specifications, such minimum frame rate, number of electrodes and noise requirements, well prior evaluation reconstruction algorithms, before applying in-vivo data. The parameterized with respect electrodes' characteristics, the measuring protocol, structural temporal properties tissues....
The design and development of a low cost, portable magnetic Barkhausen Noise Sensor is presented. health ferromagnetic objects can be monitored by analyzing MBN response. Comparative estimations the location size any microstructural defects or previously applied tensions obtained. Each stage sensor presented along with explanatory circuit diagrams, descriptions magnetization receiving coil are given. device perform accurate, non-destructive measurements steel properties, has an advantage...