Meet Prof Clement Nthambazale Nyirenda

Prof Clement Nthambazale Nyirenda obtained a BSc in Electrical Engineering from the University of Malawi in 2000, an MScEng in Computer Engineering from the University of KwaZulu-Natal in 2007, and a PhD in Computational Intelligence and Systems Science from the Institute of Science Tokyo (formerly Tokyo Institute of Technology) in 2011. After a postdoctoral stint at Keio University, Japan, he worked as Lecturer/Senior Lecturer at the University of Namibia for 6 years before joining UWC’s Department of Computer Science as a Senior Lecturer in October 2018. He became eResearch Director on 1 August 2023.

As eResearch Director, Prof Nyirenda leads UWC’s digital transformation of research, enabling data-driven innovation through advanced technologies and interdisciplinary collaboration. He oversees High-Performance Computing infrastructure expansion, generative AI integration, and research data management aligned with FAIR principles. Internally, he works closely with the Research Development and Postgraduate Studies (RDPS) Office, Information and Communication Services (ICS), the Scholarly Communications team in the Library, and the South African National Bioinformatics Institute (SANBI). His role alson includes strengthening collaborations with national initiatives such as CHPC, SANReN, DIRISA, and NITheCS, while fostering regional and global partnerships. He champions green computing practices, oversees sustainable research software acquisition and maintenance, and strives to establish UWC as an eResearch knowledge hub through workshops, training programs, and collaborative projects addressing Sustainable Development Goals.

Prof Nyirenda holds a dual appointment as Associate Professor in the Department of Computer Science, where he teaches Artificial Intelligence at Honours level and leads the Computational Intelligence Research Group, supervising postgraduate students at postdoctoral, PhD, MSc and Honours levels. His research expertise spans Computational and Artificial Intelligence paradigms in Communication Networks, Smart Energy Systems, Smart Water Infrastructure, and Dentistry. He serves as Associate Editor for the Journal of Advanced Computational Intelligence and Intelligent Informatics (JACIII).

Free Learning Opportunities with the AAL

South African students are eligible to register to join the next cohort of the African Launchpad initiative (AAL), which offers free nanodegrees through Coursera, edX, and Udacity. The courses include the fields of artificial intelligence, games and applications development and virtual reality.

The initiative was first announced in Egypt in 2018, and is an Africa-wide platform that aims to build capacity of Egyptian and African youth and foster the establishment of sustainable African startups in the area of the advanced ever-changing app and game technologies. AAL works by availing a high-quality, technology-learning online platform through crowd-sourcing top online content developed by prestigious universities and leading companies, and delivered through three leading MOOCs (Coursera, edX, and Udacity). Participants will need to dedicate approximately 10 hours per week throughout the track duration in order to be able to finish in time.

To register, click here, and to find out more details and available learning tracks, click here.

Research Opportunity Announcement: Data Generation Projects for the Bridge to Artificial Intelligence (Bridge2AI) Program

The NIH (US National Institute of Health) Common Fund’s Bridge to Artificial Intelligence (Bridge2AI) program is designed to help propel biomedical research forward by setting the stage for widespread adoption of artificial intelligence (AI) and machine learning (ML) that tackles complex biomedical challenges beyond human intuition. It is a new NIH Common Fund program, and will tap into the power of AI to lead the way toward insights that can ultimately inform clinical decisions and individualize care. AI, which encompasses many methods, including modern machine learning (ML), offers potential solutions to many challenges in biomedical and behavioral research.

The Bridge2AI program plans to support several interdisciplinary Data Generation Projects (OTA-21-008) and one complementary cross-cutting Integration, Dissemination and Evaluation (BRIDGE) Center (NOT-RM-21-021) to generate flagship data sets and best practices for the collection and preparation of AI/ML-ready data to address biomedical and behavioral research grand challenges. 

It also plans to support the formation of teams richly diverse in perspectives, backgrounds, and academic and technical disciplines. The current Research Opportunity Announcement (ROA) for Data Generation Projects for the Bridge to Artificial Intelligence (Bridge2AI) Program (OT2) (OTA-21-008) requires a Plan for Enhancing Diverse Perspectives (PEDP)—a summary of strategies to advance the scientific and technical merit of the proposed project(s) through inclusivity. Visit the Bridge2AI Program Resources page and Program FAQs for additional information on building diverse teams and for PEDP guidance.    To facilitate team building across communities and ensure responsiveness of proposals, NIH strongly encourages potential proposers to participate in the Grand Challenge Team Building Activities taking place in June 2021, please save the date for these upcoming events:    

Bridge2AI Program Town Hall
June 9, 2021
2:00-3:30pm ET
Bridge2AI Data Generation Project Module Microlabs
June 14, 16, and 18, 2021
2:00-4:00pm ET each day
Bridge2AI Grand Challenge Team Building Expo
June 23, 2021
11:00am-5:00pm ET


Further information about how to register and participate in these events, as well as an online networking platform, will be coming soon. Please check the Bridge2AI Scientific Meetings page for updates.    Please refer to the research opportunity announcement (OTA-21-008) for additional information on application submission and review. A Letter of Intent (LOI) is required, LOIs must be emailed to bridge2ai@od.nih.gov by 11:59 PM ET on or before July 20, 2021.   We encourage you to share the Bridge2AI listserv signup with your contacts and networks so they will receive updates on future funding announcements and the latest news from the Bridge2AI program. You can also keep up to date with the latest information by visiting the Bridge2AIwebsite. Questions can be sent to bridge2ai@od.nih.gov.

Read more about the vision for this new program in a recent NLM Director’s blog