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International Master of Science Program in the Field of Embedded Artificial Intelligence

The EmbeddedAI project aims to enhance the skill set for modelling, designing and analysing artificial intelligence on embedded systems for engineers by strengthening the Nigerian HE training and curricula with state-of-the-art European standards and technologies.

The project’s goal is to establish and align study programs for a Master of Science in Embedded Artificial Intelligence to facilitate entrepreneurship opportunities and serve the Nigerian industry. The project aims to strengthen the links between university-enterprise cooperation, entrepreneurship and employability of graduates in Nigeria and encourage the culture of practice-oriented and industry-motivated training in Nigeria’s HE systems that are historically more theoretically oriented.

Embedded-AI-Project

Project description

The overall objective of EmbeddedAI is to establish an international Master of Science program in the field of embedded Artificial Intelligence with key specialization in embedded systems and a strong emphasis on industrial involvement, which includes application domains for agriculture, healthcare, telecommunication, and manufacturing. It includes establishing a corresponding curriculum with well-defined rules for admission, evaluation, teaching methodologies, certification awarding and accreditation. EmbeddedAI is designed to equip Nigerian students with the latest digital trends, improving employability and entrepreneurship. Also, EmbeddedAI will help Nigerian HEs engage with various EU HEs and cultural backgrounds to promote globalization and technology growth based on their preferences and expectations.

EmbeddedAI addresses unemployment and boosts international collaboration for the Nigerian university with EU partner institutions University of Siegen (USI), Kungliga Tekniska Högskolan (KTH), Alpen-Adria-Universität Klagenfurt (AAU). In addition, EmbeddedAI aims to use AI and related technologies as an opportunity to create and reinforce diversity. The key to this will be to facilitate and promote the skills development of diverse people, and make concerted efforts to level the playing field for women and other minorities in the industry.
 

Overview

  • Icon Kalender

    Project duration
    01.02.2023 - 31.01.2026 (ongoing)

  • Icon Tag

    Research area
    Education / computer science

  • Icon Abzeichen Euro

    Financing
    European Commission: 861.771€

 

Activities

1

Requirements Analysis

Analyze the (EmbeddedAI) program requirements

2

Training

Execute training courses for faculty members and staff

3

Course development

Create and develop technical courses to immediately meet market needs.

4

Admission policies

Set the program admission policies dealing with institutional regulations and national legislation problems.

5

Targeted students

Identify the targeted students based on quantitative and qualitative analysis of the market needs for graduates with Embedded Systems and Artificial intelligence skills.

6

Lab establishment

Establish advanced labs in the project partner universities equipped with the latest hardware and software tools.

7

Cooperation

Cooperate with local networks of companies and experts.

8

Alignment

Align with the European Credit Transfer and Accumulation System (ECTS) and EU-related initiatives such as U-Multirank and others.

9

Economic entrepreneurship

Management skills shall be conveyed as required for founding start-ups and strengthening the industry

10

Create dual study opportunity

Company involvement, including internships and master thesis performed in collaboration with industry

11

Mobility

International mobility and job opportunities through alignment between partner and programme countries

12

Involvement of rural areas

Rural areas shall be a particular focus of the project, thereby mitigating unbalances in education

13

Summer school/winter school

Establishing summer school/winter school

Das Projektteam

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Dr.-Ing. Daniel Lucky Ndubuisi Onwuchekwa

Research assistant
Roman Obermaisser

Univ.-Prof. Dr.-Ing. Roman Obermaisser

Professor

Prof. Dr. Roman Obermaisser is full professor at the Division for Embedded Systems of University of Siegen. Roman Obermaisser has finished his doctoral studies in Computer Science with Prof. Hermann Kopetz at Vienna University of Technology as research advisor in 2004.

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Omar Hekal

Research assistant
Josepaul Paulachan

Josepaul Paulachan M.Sc.

Research assistant
Personal profile photo

Fatima Mammadova M.Sc.

Research assistant

Fatima Mammadova is a Research Associate at the Chair of Embedded Systems, where she is pursuing her doctorate under Prof. Roman Obermaisser.

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Charles Onuaha M.Sc.

Wissenschaftliche*r Mitarbeiter*in

Charles Okwudiri Onuoha is a doctoral researcher at University of Siegen, within the Chair of Embedded Systems.

Fördermittelgeber und Kooperationspartner

Das Projekt wird durch das Bundesministerium für Bildung und Forschung (BMBF) im Rahmen des Programms „Nachhaltige Hochschulen“ finanziert. Ziel der Förderung ist es, innovative Konzepte für eine umweltfreundliche und ressourcenschonende Campusgestaltung zu entwickeln und umzusetzen.

Wichtige Partner des Projekts sind die Stadt Siegen, die in den Bereichen Mobilität und Klimaschutz unterstützt, sowie das Institut für Umweltforschung NRW, das wissenschaftliche Analysen und Expertise bereitstellt. Zudem arbeiten die Siegener Stadtwerke an der Umsetzung nachhaltiger Energielösungen mit.