ConAAIAC-2023: The First International Conference on the Advancements of Artificial Intelligence in African Context Arusha International Conference Centre (AICC) with Hybrid Online Participation Arusha, Tanzania, November 15-16, 2023 |
Conference website | https://ai4dlab.or.tz/pages/aaiac/index.html |
Submission link | https://easychair.org/conferences/?conf=conaaiac2023 |
Submission deadline | September 30, 2023 |
Preamble
The University of Dodoma (UDOM), and the Nelson Mandela African Institution of Science and Technology (NM-AIST) and IEEE Tanzania Chapter have organized the 1st International Conference on the Advancements of Artificial Intelligence in African Context (AAIAC). This conference is the first in a series that will bring together international researchers, academia and industrial practitioners to discuss and foster developments in the domain with a lens on the African Continent. The conference is prepared under the umbrella of the established gender-inclusive and multidisciplinary Africa’s Anglophone Research lab that fosters research, human capacity development, innovation, and internationalization. In addition, the lab aims at bringing together academia, industries and public institutions in Africa’s Anglophone to develop research-based AI innovations that contribute to evidence-based and gender-sensitive policies.
The overall objective of the 1st International Conference on the Advancements of Artificial Intelligence in African Context (AAIAC) with this year’s theme on the role of Artificial Intelligence towards realization of the 4th and 5th Industrial Revolution is to strengthen capacity through a bigger network of researchers, academicians and industrial practitioners working to realize the role of AI on the continent’s industrial revolution which spans from automation, food production, smart and strong economies and enhanced healthcare to mention a few. The conference will also provide a platform that will strengthen the capacity of public universities in Africa to conduct high-quality, multidisciplinary, responsible AI research and teaching by sharing out their innovations, use cases, papers, and patents, to mention a few. More details about the conference can be accessed through the Conference website: https://ai4dlab.or.tz/pages/aaiac/index.html
Accepted submissions
The conference will showcase and feature a diverse range of research outputs. Best papers will be selected based on scientific research quality, innovativeness, and adherence to the conference themes. Accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore's scope and quality requirements.
- Short papers with a maximum of 5 pages in a single column
- Full papers with a maximum of 12 pages in a single column
- Poster presentations
Conference Tracks
Submissions should be but not limited to the following tracks:
The 1st International Conference on the Advancements of Artificial Intelligence Fitting the African Context (AAIFAC) shall have four tracks as reflected in the main thematic areas of the AI4D Anglophone multidisciplinary research laboratory. Tracks subtopics will be but not limited to the following:
Track 1: Artificial Intelligence Tools and Applications for African Contexts
This track aims to bring together researchers, practitioners, and industry experts to share their latest findings and innovations in AI-based solutions tailored to African countries' unique challenges and opportunities.
AI can transform many African societies, including healthcare, agriculture, education, and infrastructure development. However, applying AI in African contexts requires careful consideration of the specific cultural, linguistic, economic, and technological factors that shape the region. The Artificial Intelligence Tools and Applications for African Contexts track invites submissions on a wide range of topics related to AI, including but not limited to:
- AI Tools for Agriculture and food security in Africa
- AI for Healthcare and disease management in African Contexts
- AI-based solutions for financial inclusion and access to credit
- AI for natural resource management and conservation
- AI-based solutions for infrastructure development
- Human-centered AI and Ethics in African Contexts
- AI for disaster response and climate change adaptation
- AI for environmental conservation in Africa
- AI-based solutions for healthcare in rural and underserved areas of Africa
- AI for promoting the growth of the digital economy and small-scale industries in Africa
- AI-based Solutions for improving infrastructure and data ecosystems in Africa
- Mobile computing for healthcare, agriculture, transportation, and other domains
- Integration of IoT technologies into existing systems and infrastructure
Track 2: Smart Systems and Automation for African Contexts
This track explores innovative applications of intelligent systems and automation in various domains, including manufacturing, transportation, energy, and logistics.
Intelligent systems and automation have the potential to improve efficiency, reduce costs, and enhance safety in various industries, thereby driving economic growth and development in Africa. However, adopting these technologies in African contexts requires a thorough understanding of the local context and specific challenges African societies face. The Smart Systems and Automation for African Contexts track invites submissions on a wide range of topics related to intelligent systems and automation, including but not limited to the following:
- Smart Manufacturing and Industry 4.0 in African Countries
- Smart transportation and mobility solutions for African cities
- Smart energy systems and renewable energy technologies
- Smart Logistics and supply chain management in African Contexts
- Intelligent systems and automation for agriculture and food processing
- Innovative Systems and Automation for Healthcare in African Countries
- Smart Homes and Buildings in African Cities
- Human-robot Interaction and Collaboration in African Contexts
- Cybersecurity and privacy issues in smart systems and automation
- Use of artificial intelligence and machine learning in embedded, mobile computing, and IoT applications
- Wireless sensor networks and machine-to-machine communication
- Cloud Computing and edge computing for IoT in Africa
- Security, privacy, and trust issues in embedded, mobile computing and IoT in Africa
- Design and development of embedded systems for African contexts
Track 3: Cognitive Systems for African Contexts
This track aims to bring together researchers, practitioners, and industry experts to share their latest findings and innovations in cognitive systems tailored to African countries' unique challenges and opportunities.
Cognitive systems, which combine artificial intelligence, machine learning, natural language processing, and other technologies, can potentially enhance human cognition and decision-making in various domains, including healthcare, education, and business. However, developing and deploying cognitive systems in African contexts require careful consideration of the specific cultural, linguistic, economic, and technological factors that shape the region. The Cognitive Systems for African Contexts track invites submissions on a wide range of topics related to cognitive systems, including but not limited to the following:
- Cognitive Systems for Healthcare and disease management in African Contexts
- Cognitive Systems for Education and language learning in African Languages
- Cognitive Systems for financial inclusion and Access to Credit
- Cognitive Systems for natural resource management and Conservation
- Cognitive Systems for infrastructure development and smart cities
- Cognitive Systems for disaster response and climate change adaptation
- Cognitive systems for promoting the growth of the digital economy and small-scale industries
- Cognitive systems for improving the accessibility and usability of technology
- Ethical and societal implications of cognitive systems in African Contexts
- Human-centered design and user experience in embedded, mobile computing, and IoT applications
- Impact assessment and evaluation of embedded, mobile computing, and IoT applications
Track 4: Artificial Intelligence and Data Science Communication
This track aims to bring together researchers, practitioners, and industry experts on the advancement of network and system solutions based on data science and artificial intelligence.
Artificial intelligence, machine learning, reinforcement learning, and network data analytics innovations open up new opportunities in areas such as channel modeling and estimation, cognitive communications, interference alignment, mobility management, resource allocation, network control and management, network tomography, multi-agent systems, and network ultra-broadband deployment prioritization. These new analytic platforms will aid in the transformation of our networks and user experience. Future networks will enable unparalleled automation and optimization by intelligently gathering, analyzing, learning, and controlling huge volumes of information. This Series solicits articles addressing numerous topics within its scope including, but not limited to, the following:
- All aspects of artificial intelligence, machine learning, reinforcement learning, and data analytics which enable and improve networks of the next generation.
- Methods, systems, and infrastructure for the analysis of network, service traffic, and user behavior for the efficient and dependable design of networks, including deep learning and statistical network tomography techniques.
- Analytics and AI for network optimization, network security, network assurance, data privacy, and data integrity. Utilizing analytics and AI to detect network failures.
- Automated communication infrastructure between intelligent machines and agents (including humans, such as speech and vision) and information fusion to automate and facilitate multi-agent systems.
- Communication and networking to enable data-centric intelligent applications
Submission format
The conference accepts any format; however, consistency must be observed throughout. Once the papers are accepted, all accepted submissions MUST be converted into the IEEE Conference paper format that can be accessed at https://www.ieee.org/conferences/publishing/templates.html.
Conference Participation
The AAIAC conference will be in a hybrid mode inviting physical and online participation. Physical participation will be at the Conference Venue: Arusha International Conference Centre (AICC), Arusha Tanzania.
Conference Registration and Participation Fee
- Physical - presenter (100USD)
- Physical non-presenter (80 USD)
- Physical Student - presenter (50 USD)
- Physical Student non-resenter (30 USD)
- Online - Presenter (80 USD)
- Non-Presenter (50 USD)
- Online Student Presenter (30 USD)
- Non-presenter (20 USD)
Conference Dates
- Hard deadline for submissions: 30 September 2023
- Notification of acceptance: 20 October 2023
- Camera-ready paper submission and author registration: 31 October 2023
- Conference: 15 & 16 November 2023