HEI – FAAI Job Hub

Collecting Good Practices in Applied AI using questionnaires

By admin | April 30, 2024 | Comments 0 Comment

The work is fulfilled within the framework of Erasmus+ project “The Future is in Applied Artificial Intelligence” (FAAI) and devoted to the development the methodology for collecting and analyzing good practices in the field of applied artificial intelligence (AAI) regarding the competences, training, existing solutions and real cases, which can be used for developing training courses of competence based education. The empirical methods used in the research of good practice in AI include a group of methods associated with the study and generalization of competencies, advanced pedagogical experience, as well as with the study of AI solutions in the science and industry. The following groups were researched to improve the study:

The obtained data collection can be aquire here:

Questionnaire results1

Questionnaire results2

Questionnaire results3

Questionnaire results4

Questionnaire results5

Questionnaire results6

Questionnaire results7

Questionnaire results7x

Questionnaire results8

Special presentation for BIP: AI in Virtual Reality

By admin | April 26, 2024 | Comments 0 Comment

In April the University of Bielsko-Biala hosted Blended Intensive learning event. It bringed students from all Europe.

The special presentation was given that utilise the results of FAAI projects. The presentation and aditional asest are given here:

Blended Intensive Programme_fin

Additional files:

scripts

use_case1_face_detect

use_case5_API

use_case5_data

Presentation for Precisely company

By admin | March 8, 2024 | Comments 0 Comment

On the 29th of February there was a meeting on which the presentation entitled “The use of artificial intelligence and sensors to monitor and classify objects” was presented.

It was a pleasure to talk about the AI application in modern world.

Here you can find the presentation ( link to presentation) and pictures from a meeting.

Presentation at Record company

By admin | March 8, 2024 | Comments 0 Comment

On the 15th of February there was a meeting on which the presentation entitled “AI application not only in sport” was presented.

It was a pleasure to talk about the AI application in modern world.

Here you can find the presentation ( link_to_presentation ) and pictures from a meeting.

Erasmus+ project FAAI: 16th Edition of the International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS’2023) in Niš (Serbia)

By admin | November 3, 2023 | Comments 0 Comment

The 16th Edition of the International Conference on Advanced Technologies, Systems, and Services in Telecommunications (TELSIKS’2023) unfolded at the distinguished Faculty of Electronic Engineering (FEE), University of Nis, Serbia, from October 25-26, 2023. This conference marked a significant milestone in the exploration of cutting-edge technologies and services in the field of telecommunications.
The FAAI project consortium was represented by delegations from University of Bielsko-Biala (UBB), University of Library Studies and IT (ULSIT), University of Nis (UNI), University of Ss. Cyril and Methodius in Trnava (UCMT), and University of Montenegro (UoM), collectively showcasing the collaborative efforts and expertise of these esteemed institutions.
Opening Ceremony and Plenary Session: A Glimpse of Our Delegation’s Engagements
Before delving into the special session on Applied Artificial Intelligence, our delegations had the privilege of participating in the distinguished Opening Ceremony and Plenary Session of TELSIKS’2023.

The Opening Ceremony, held in Room 457, FEE, was a momentous occasion marked by an atmosphere of camaraderie and shared purpose. It provided a fitting commencement to the conference, setting the stage for the intellectually stimulating interactions that followed.

Following this, the Plenary Session, also convened in Room 457, FEE, showcased a lineup of eminent speakers who expounded upon the latest trends and advancements in telecommunications. Our delegations actively engaged in these enriching discussions, contributing to the collective discourse on the future of the field.

Special Session: Setting up the Applied Artificial Intelligence Learning Requirements (SS3)

A significant highlight of the conference was the special session on Applied Artificial Intelligence (AI) and learning environments. This session delved into the development of a competency framework for Applied AI, encapsulating technical, business, and ethical perspectives, in alignment with the Erasmus+ project FAAI No. 2022-1-PL01-KA220-HED-000088359.
Chaired by Vasyl Martsenyuk and Olivera Pronić-Rancic, the session played a pivotal role in fostering dynamic discussions and facilitating the exchange of innovative ideas on Applied AI.

Noteworthy Talks
1. “On Emerging Methodology for Collection of Good Practices in Applied Artificial Intelligence”
• Vasyl Martsenyuk, George Dimitrov, Dejan Rancic, Iveta Dirgova Luptakova, Igor Jovancevic, Aleksandra Klos-Witkowska, Marcin Bernas, and Tomasz Gancarczyk.
2. “Research and Analysis of IT Specifications of Good Practices in Artificial Intelligence”
• Paulina Tsvetkova, George Dimitrov, Vasyl Martsenyuk, Iveta Dirgová-Luptáková, Dejan Rancic, Igor Jovancevic, Iva Kostadinova, Katia Rasheva-Yordanova, Pepa Petrova, and Pavel Petrov.
3. “Research and Analysis of Different Real Cases, with use of AAI”
• Iva Kostadinova, George Dimitrov, Vasyl Martsenyuk, Dejan Rancic, Iveta Dirgova-Luptakova, Igor Jovancevic, Ivan Trenchev, Stefka Toleva-Stoimenova, and Pavel Petrov.

4. “Employer Requirements for Graduate Competencies in Applied Artificial Intelligence”
• Dragan Stojanovic, Olivera Pronić-Rancic, Natalija Stojanovic, Dejan Rancic, and Marko Milojkovic.

5. “Research and Analysis on the Labor Market in the Field of Applied AI”
• Aleksandar Plamenac, Igor Jovancevic, Georgi Dimitrov, Vasyl Martsenyuk, Dejan Rancic, and Iveta Dirgova-Luptakova.
6. “On Predicting Financial Time Series of Various Granularity as an Applied AI Problem”
• Vasyl Martsenyuk and Jacek Kafel-Kania.
7. “On Manufacturing Network Design as an Applied AI Problem”
• Vasyl Martsenyuk and Nataliia Kit.
Engaging Discourse and Valuable Insights
The ensuing discussions were characterized by a palpable enthusiasm and a profound appreciation for the depth of knowledge shared. The questions posed were astute, and the insights imparted were instrumental in augmenting our collective understanding.

Looking Ahead
The conference culminated as a resounding success, serving as an exemplary platform for the dissemination of the FAAI project’s findings. The strides made in the domain of Applied AI are nothing short of commendable, and we remain sanguine about the transformative potential of our collaborative endeavors.
We extend our gratitude to all participants for their invaluable contributions, and we eagerly anticipate the continued discourse on these vital topics.

Erasmus+ project FAAI: Transnational Meeting A4.1 in University of Niš in Serbia

By admin | November 3, 2023 | Comments 0 Comment

The A4.1 transnational meeting took place at the Faculty of Electronic Engineering in Nis, and Science Technology Park Nis, Serbia, with the participation of partners from five universities: University of Bielsko-Biala (UBB), University of Library Studies and IT (ULSIT), University of Nis (UNI), University of Ss. Cyril and Methodius in Trnava (UCMT), and University of Montenegro (UoM). The meeting’s main objective was to facilitate collaboration, assess the project’s current status, and explore future perspectives.
Science Technology Park Nis (STPN) gave the venue for the meeting conductance.

Photo. The meeting participants before the STPN building

Photo. The meeting participants studied the experience of IT companies located in STPN, focusing on applied AI

Photo. The meeting participants investigating AI hardware solutions for virtual platforms

Day 1 – October 25, 2023:
1. Introduction and Project Overview (14:30 – 15:00)
• Vasyl Martsenyuk and Georgi Dimitrov provided an overview of the project’s current state, highlighting the progress made in developing the Artificial Intelligence Competency Framework, Learning Requirements, and the curriculum’s main content and topics.
2. Current State of WP4 and Task Distribution (15:00 – 15:30)
• Igor Jovancevic and Dejan Rancic discussed the current state of Work Package 4 (WP4) and allocated tasks and responsibilities among the partners.
3. Methodology of AAI Design (15:30 – 16:00)
• Igor Jovancevic and Vasyl Martsenyuk presented the methodology for designing Artificial Intelligence in Education (AAI) components.
4. Translations of Project Results (16:30 – 17:00)
• All partners engaged in discussions regarding the translation of project results into their respective native languages.

Day 2 – October 26, 2023:
5. AAI Job Hub and Openness of Project Results (08:30 – 09:00)
• Vasyl Martsenyuk introduced the AAI Job Hub as a platform to enhance the accessibility and openness of project results.
6. Enhancing Project Evaluation (09:30 – 09:45)
• All partners collaborated to explore ways to enhance the evaluation of project results.
7. Education Materials Development Report (09:45 – 10:30)
• Partners reported on the progress made in developing education materials for the training course on AAI.
8. Dissemination of Project Results (10:30 – 11:00)
• Vasyl Martsenyuk discussed strategies for disseminating project results through events and publications.
9. Preparing Trainings in Trnava (15:00 – 15:30)
• Iveta Dirgova Luptakova provided insights into the preparation of training sessions in Trnava.
10. Financial and Managerial Activities (15:30 – 16:00)
• Institutional coordinators from all partners addressed financial and managerial aspects of the project (AdminProject).

The meeting concluded successfully, achieving its objectives of fostering collaboration, assessing project progress, and outlining future actions. The partners left with a clear understanding of their roles and responsibilities moving forward in the FAAI Erasmus+ project.

Article: On Manufacturing Network Design as an Applied AI Problem

By admin | October 25, 2023 | Comments 0 Comment

The work is devoted to designing a manufacturing network incorporating logistic-production sites that are located at the nodes of the squared lattice with the help of the AI technique. We focused on qualitative analysis of the dynamic behavior of the dynamic lattice model. The model includes rate constants and initial conditions affecting the trajectories of the model which can be classified either as a stable node, limit cycle, or chaotic attractor. We aim to solve the problem of the model qualitative behavior as an AI classification problem. The training dataset is constructed with the help of Monte-Carlo simulation with high-performance computing in Julia. The AI model is built as a C5.0 decision tree. The work was fulfilled with the framework of Erasmus+ Project No. 2022-1-PL01- KA220-HED000088359 entitled “The Future is in Applied Artificial Intelligence” (FAAI) and offers a use case to be studied during the applied AI training course.

Full paper can be found at:https://ieeexplore.ieee.org/document/10316176

Audio version is available:

Article: On Predicting Financial Time Series of Various Granularity as an Applied AI Problem

By admin | October 25, 2023 | Comments 0 Comment

We comprehensively examine the efficacy of LSTM models in predicting financial time series. We evaluate the performance of LSTM networks based on various numbers of units determined by temporal granularity, considering aspects such as prediction accuracy. This study contributes to the ongoing discourse on the role of AI in financial markets, offeringa nuanced perspective on the practicality and limitations of LSTM models in this critical domain.

Full paper can be found at: https://ieeexplore.ieee.org/document/10316038

Audio version is available:

Article: Research and Analysis on the Labor Market in the Field of Applied AI

By admin | October 25, 2023 | Comments 0 Comment

This article is fulfilled within the framework of Erasmus+ project “The Future is in Applied Artificial Intelligence (FAAI). It gives overview of current job market related to the field of Applied Artificial Intelligence. The data is obtained from online survey, and it gives highlights of severalaspects of labor market divided into research and analysis of the market, and specific requirements necessary. Regarding research and analysis, the data provided deals with:

– positions offered in the market.

– machine learning problems occurring.

– models being developed while resolving the realworld problem.

– machine learning tasks to be solved.

The collected data in the domain of job market requirements gives highlight about:

– required programming languages.

– educational requirements.

– required competencies.

Results given can serve as a guide to which competencies are necessary in the field of AAI and provide information for both professionals and curriculum creators.

Full paper can be found at: https://ieeexplore.ieee.org/document/10316155

Audio version is available:

Article: Employer Requirements for Graduate Competencies in Applied Artificial Intelligence

By admin | October 25, 2023 | Comments 0 Comment

ERASMUS+ project The Future is in Applied Artificial Intelligence (FAAI) aims to increase the quality and relevance of students’ and graduates’ knowledge and skills in AI/ML-specific topics based on skills needed in the labor market. This paper presents the results of the survey that was conducted in the context of the FAAI project to assess the needs of employers in project participants’ countries in graduates’ competencies in Artificial Intelligence, Machine Learning, and Data Science in general for the purpose of training specialists in the field of Applied AI. The survey was filled in by 38 companies and consisted of 31 questions related to general required competencies, type of machine learning problems solved, AI libraries used in companies, required soft skills, employers’ satisfaction with the level of preparedness of master’s degree graduates in the field of AI.

Full paper can be found at: https://ieeexplore.ieee.org/document/10315726

Audio version is available: