Edge computing & firmware

Our team has been cooperating with Intel on many levels for many years. One of the vectors of cooperation is a framework project based on several grants that focus on the use of edge devices in data processing tasks close to their source.

It is estimated that 2.5 quintillion (10^30) pieces of data are added to Earth every day. the amount of data has overwhelmed the capacity of servers and clouds, causing delays and bandwidth problems. The growing popularity of IoT devices and the launch of the 5G network will intensify this problem in the coming years. IBM reports, based on Gartner Research estimates [1], that by 2025 75% of data will be processed outside a traditional data center or cloud [2].

The results of the analyzes inspired us to implement edge solutions at the Poznań University of Technology, which educates future engineers for the Polish IoT market. In 2016, we launched the Information Microsystems specialty, and in 2022, the Edge Computing specialty, under which we have implemented the latest IT engineering solutions such as: cloud computing, computational acceleration techniques, firmware technology, hardware security and Edge AI.

We recruit the best doctoral students from the specializations we launch.

We hope that the increasingly strong cooperation with Intel, the leader of the IT market, will result in many new projects based on the latest technologies.

[1] Rob van der Meulen, What Edge Computing Means for Infrastructure and Operations Leaders, Gartner Research, 2018

[2] https://www.ibm.com/pl-pl/cloud/what-is-edge-computing [dostęp dnia 2.12.2021]


Funding

EDGE Computing Curriculum, Intel Technology Poland Ltd

System Level Firmware for Intel Architecture, Intel Technology Poland Ltd

Embedded Systems Development Technology – graduate course, Intel Technology Poland Ltd


Publications

Cryptographically Secure PseudoRandom Bit Generator for Wearable Technology / Michał Melosik, Mariusz Galan, Mariusz Naumowicz, Piotr Tylczyński, Scott Koziol // Entropy – 2023, vol. 25, no. 7, s. 976-1-976-16

Exocytotic vesicle fusion classification for early disease diagnosis using a mobile GPU microsystem / Szymon Szczęsny, Paweł Pietrzak // Neural Computing and Applications – 2022, vol. 34, iss. 6, s. 4843-4854

Remote Prototyping of FPGA-Based Devices in the IoT Concept during the COVID-19 Pandemic / Michał Melosik, Mariusz Naumowicz, Marek Kropidłowski, Wiesław Marszałek // Electronics – 2022, vol. 11, iss. 9, s. 1497-1-1497-15