Dr. Julius Sechang Mboli's Outputs (3)

A Responsible AI Perspective to implementing Generative AI in Personalized Healthcare: Implications, Challenges and Future Directions (2024)
Presentation / Conference Contribution
Fagbola, T. M., Dhiman, A., Mboli, J., & Mishra, B. (2024, October). A Responsible AI Perspective to implementing Generative AI in Personalized Healthcare: Implications, Challenges and Future Directions. Paper presented at 1st International Workshop on Responsible AI (RAI) for Healthcare and Net Zero, IIT Madras, Chennai, India

Generative AI (GenAI) is transforming personalized healthcare by enabling customized treatment plans, advancing drug discovery, and offering targeted diagnostic support. While these advancements offer significant potential, they also present complex... Read More about A Responsible AI Perspective to implementing Generative AI in Personalized Healthcare: Implications, Challenges and Future Directions.

Artificial Intelligence-Powered Decisions Support System for Circular Economy Business Models (2023)
Presentation / Conference Contribution
Mboli, J. S., Thakker, D., & Mishra, J. (2023, April). Artificial Intelligence-Powered Decisions Support System for Circular Economy Business Models. Presented at International Conference on Enterprise Information Systems, ICEIS - Proceedings, Prague, Czech Republic

The circular economy (CE) is preferred to linear economy (LE) as it aims to keep resources in use for as long as possible, extracting maximum value before recovering and regenerating them. This reduces the need to extract new raw materials and reduce... Read More about Artificial Intelligence-Powered Decisions Support System for Circular Economy Business Models.

An Internet of Things-enabled decision support system for circular economy business model (2020)
Journal Article
Mboli, J. S., Thakker, D., & Mishra, J. L. (2022). An Internet of Things-enabled decision support system for circular economy business model. Software: Practice and Experience, 52(3), 772--787. https://doi.org/10.1002/spe.2825

The traditional linear economy using a take-make-dispose model is resource intensive and has adverse environmental impacts. Circular economy (CE) which is regenerative and restorative by design is recommended as the business model for resource effici... Read More about An Internet of Things-enabled decision support system for circular economy business model.