Dr Julius Mboli

Dr Julius Mboli

Lecturer, Centre of Excellence for Data Science, Artificial Intelligence, and Modelling (DAIM) – Business

Faculty and Department

  • Faculty of Science and Engineering
  • Data Science AI and Modelling Centre (DAIM)

Qualifications

  • BEng
  • MSc (University of Bradford)
  • PhD / DPhil (University of Bradford)
  • MBA

Summary

Julius, a lecturer in Data Science, AI & Modelling Centre (DAIM), brings extensive interdisciplinary knowledge to the intersection of business management and data science. With a profound understanding of data-driven decision-making, his expertise lies in guiding students and collaborating with industry partners to leverage Artificial Intelligence (AI), Internet of Things (IoT), and data analytics within business contexts. His diverse skill set includes data visualization, statistical modelling, and various analytics methodologies, fostering practical learning experiences for undergraduate, postgraduate, and apprenticeship programs.

Before his tenure at the University of Hull, Julius served as a lecturer in Business Data Analytics at Teesside University International Business School. His role encompassed Enterprise Knowledge Exchange (EKE), Research and Innovation, and Learning and Teaching activities. Additionally, he contributed as a Co-Investigator in two Innovate UK funded research projects focusing on International Digital Trade and Knowledge Transfer Partnership (KTP).

Julius's consultancy extends to businesses navigating cutting-edge technologies like AI and IoT, where he assesses their potential impact through horizon scanning and delivers insightful talks on digital transformation strategies. His academic journey includes a PhD in AI and IoT from the University of Bradford, exploring Industry 4.0 Technologies and their role in Circular Economy Business Models. This research has significantly contributed to academia, business success, and sustainable development goals.

In addition to his PhD, Julius holds an MBA from the University of the People and an MSc in Computer Science from the University of Bradford. His expertise extends to delivering guest lectures on advanced AI techniques and their implications for businesses.

Recent outputs

View more outputs

Journal Article

An Internet of Things-enabled decision support system for circular economy business model

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

Research interests

My research interests are interdisciplinary, focusing on the application of Artificial Intelligence (AI) and the Internet of Things (IoT) across various domains. These include, but are not limited to:

Artificial Intelligence (AI)

Internet of Things (IoT)

Circular Economy

Industry 4.0

Knowledge Graphs

Sustainability

United Nations Sustainable Development Goals (SDGs)

Environmental, Social, and Governance (ESG) considerations

I am very open to collaborations on these themes.

Co-investigator

Project

Funder

Grant

Started

Status

Project

DASSH: DynAmic City: Seismic and Sonic activity in Hull

Funder

University of Hull

Grant

£4,713.00

Started

6 January 2025

Status

Ongoing

Postgraduate supervision

Open for interdisciplinary research in

AI & IoT

Circular Economy

Industry 4.0

Knowledge Graphs

Sustainability

United Nations Sustainable Development Goals (SDGs)

Environmental, Social, and Governance (ESG) considerations

Business Analytics

Top