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Joseph Maloba Makokha

Postdoctoral Fellow - Entrepreneurship
Image of Joseph Maloba Makokha
Email josepmak@ifi.uio.no
Room 7468
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Visiting address Ole-Johan Dahls Hus
Postal address Postboks 1080 Blindern 0316 Oslo
Other affiliations UiO Growth House

Joseph Makokha, PhD. is a postdoctoral research fellow at University of Oslo Institute for Informatics (IFI) in the Department of Mathematics and Natural Sciences. He specializes in collaborative artificial intelligence (AI) systems that augment humans on thinking tasks such as designing, hence works at the intersection of innovative teams, design and artificial intelligence. In addition to teaching, he develops and runs experiments/studies involving a variety of AI systems to explore their impact on creativity, perception, decision making, collaboration, team dynamics, among others. To bridge knowledge and practice, he engages industry leaders in understanding, deploying and evaluating AI in diverse enterprises. He has a bachelors degree in EE/CS (Nairobi, Kenya), masters degrees in Education (Holy Names and Stanford in the US), and a PhD in Mechanical engineering from Stanford University.

 

Tags: Engineering design, Innovation, Teamwork, Artificial Intelligence AI, Entrepreneurship, Machine Learning & Deep learning

Publications

1. Cakmakci, G., Aydeniz, M., Brown, A., & Makokha, J. M. (2025). Situated cognition and cognitive apprenticeship learning. In Science education in theory and practice: An introductory guide to learning theory (pp. 293-311). Cham: Springer Nature Switzerland.

2. Makokha, J. (2023). FUTURE AI SYSTEMS: AN AI OUTPERFORMS A HUMAN AS TEAMMATE. Authorea Preprints.

3. Ganesh, J., Sharma, T. P., Mukund, R. A. J., Staubo, C. E., & Makokha, J. M. (2012). U.S. Patent Application No. 13/346,437.

4. Leora Culén, A., Karahasanovic, A., Makokha, J., Sebastian Stevens, N., & Zhao, Y. (2024). ChatGPT: mediating complex design processes.

5. Makokha, J. (2017). Emerging technologies and science teaching. Science education, 369-383.

6. Makokha, J. (2023). Future Ai Systems: An Ai Outperforms a Human as Teammate. Authorea Preprints. https://doi.org/10.36227/techrxiv.21901407.v

7. Makokha, J. M. (2022). Collaborative Artificial Intelligence (AI) for Idea Generation in Design Teams (Doctoral dissertation, Stanford University). https://searchworks.stanford.edu/view/14233988

8. Makokha, J. (2022, June). Enhancing Human-AI (H-AI) Collaboration On Design Tasks Using An Interactive Text/Voice Artificial Intelligence (AI) Agent. In Proceedings of the 2022 International Conference on Advanced Visual Interfaces (pp. 1-4).

9. Makokha, J. M. (2021, July). Artificial Intelligence Paradigms and the Future of Learning: What a Partial Review of Half a Century of AI Conceptualization Suggests. In 2021 ASEE Virtual Annual Conference Content Access.

10. Makokha, J. M. (2021). Design And Manufacturing Of Smart, Connected (IoE) Products. SystemX Alliance 2021 VIRTUAL Fall Conference, 2021. https://systemx.stanford.edu/internet-everything-poster-session-systemx-2021

  • Culén, Alma Leora; Karahasanovic, Amela; Makokha, Joseph Maloba; Stevens, Nicholas Sebastian & Zhao, Yangyang (2024). ChatGPT: mediating complex design processes. In Gray, C.M.; Chehade, E. Ciliotta; Hekkert, P.; Forlano, L.; Ciuccarelli, P. & Lloyd, P. (Ed.), DRS2024: Boston. Design Research Society. ISSN 9781912294626. doi: 10.21606/drs.2024.628. Full text in Research Archive

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  • Makokha, Joseph Maloba (2024). From uncertainty to ambiguity: Creating the future in new venture teams. Full text in Research Archive
  • Makokha, Joseph Maloba (2024). RESPONSIBLE AI THROUGH DATASETS: USING EDGE COMPUTING TO CAPTURE MASSIVE ANONYMIZED PUBLIC IMAGES. Full text in Research Archive

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Published Oct. 10, 2022 10:03 AM - Last modified Nov. 4, 2025 12:03 PM

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