Engineering Arena
What?
Project task consists of three stages. The competitions last three days and each day represents one stage. The teams will get their problems in the morning. They have to solve it till the afternoon when they have to come up with the solution. They are being ranked on daily lists. The fourth day is reserved for finalists who will present their solutions to the expert jury. The expert jury picks a winner of the Engineering Arena.
Who?
At the problem-solving competition in the Engineering Arena, all regular mechanical engineering, electronics, computing, mechatronics, and naval architecture students can participate in.
Why?
Scientists, computing companies, banks etc. all submit to great computing resources in this digital age. Sometimes one computing server isn’t enough to process data, or even two or three of them. In that case, more demanding and tougher configurations are needed to process data. A data center does that exactly. It has a built-in system made up from several dozens and hundreds of computing services that are integrated into one whole assembly. It processes data much easier and efficiently. Constructing, configuration, and preparation of the data center isn’t such an easy job. It is necessary to include many factors and calculations so that the data center would perform harmonically without any kind of influences on the data process. This Arena researches the most efficient and quality way to construct a data center so that the following researches, science, flow, and data processing would went smoothly and continue the growth of this modern digital age.
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Competences
Energy systems analysis
Designing of air-conditioning systems
Basics of sensory evaluation
Familiarity with renewable sources of energy
Basics of electro energy system design
Computer simulation knowledge
Knowledge in MATLAB/Octave/Python or other programming tools for calculations
Teamwork
Problem analysis
Presentation skills
Mentors
Sandi Baressi Šegota
Sandi Baressi Šegota is an assistant and a Ph.D. student of Electrotechnics at the Faculty of Engineering in Rijeka, where he had finished his undergraduate and a graduate degree in Computing. He’s occupied with evolutional and industrial robotics at the Institute for Automatics and Electronics by applying artificial intelligence in many different fields including medicine and complex engineering systems. He is also maintaining the Z4 HPC Cluster. Sandi Baressa Šegota is also a member of the research group RITEH AI & Robotics. In his spare time, he likes to get lost in the woods with Žuža, a mixed breed. He pursues astronomy as a member of the management board of the Astronomy Association “Istra” Pula.
Matko Glučina
Matko Glučina is the head of the undergraduate professional study program in Mechatronics and a lecturer at the Istrian University of Applied Sciences, where he closely collaborates with numerous companies to enrich the knowledge of his students. His expertise in the field of electrical engineering, particularly mechatronics, provides students with the foundations for future career challenges. As a doctoral candidate at the Faculty of Engineering, University of Rijeka, he is researching the application of artificial intelligence in real challenges. Additionally, he has participated in projects such as the CEKOM Center of Competence for Smart Cities. In his free time, he enjoys nature and spending time with loved ones."
Dario Stuhne
Dario Stuhne is a young researcher and a PhD student at the Laboratory of Robotics and Intelligent Control Systems in the Faculty of Electrical Engineering and Computing in Zagreb. He studied mechanical engineering, focusing on designing and developing products. But because he loves robotics, science, and engineering, he chose to explore soft robotic grasping and manipulation, as well as complex mechatronic systems for his research. In his free time, Dario enjoys spending time with friends, listening to blues music, watching anything from Christopher Nolan or Guy Ritchie, running, and playing sports. Also, he is a dog person.
Mihael Jakšić
Mihael Jakšić is an assistant and a PhD student of Electrical Engineering at the Laboratory for Renewable Energy Systems (LARES) at the Faculty of Electrical Engineering and Computing in Zagreb. He holds a Master's degree in Computer Science. His main research interests focus on data science, optimization, and optimal control applied to smart buildings and smart cities. In his free time, Mihael plays music and enjoys good book, good company, and a good drink.