International Conference on Artificial Intelligence and Cybersecurity

Theme:  Securing the Future: Innovations in AI and Cybersecurity

20-26, November 2025 ANA Crowne Plaza Kobe, Osaka, Japan
Back to conference
Teye Jonathan
Featured Speaker

Teye Jonathan

Session Speaker

Ghanaian

Biography

1.Lecturer (Department of Business Studies) Regentropfen College of Applied Sciences Bolgatanga, UER, Ghana 2.May, 2015 – August, 2016 Teacher Peace Hill Senior High School Koforidua 3.Sept 2014 - August 2015 National Service Person Professional Studies Koforidua Polytechnic, Koforidua, E/R.  

Abstract Title

1.September 2020- JUNE 2024 Doctor Degree in Mining Management Engineering (Anhui University of Science and Technology, China) 2.September 2018-June, 2020 Master of Management Science in Accounting (Anhui University of Technology, China) 3.August 2014 – May, 2016 Bachelor’s Degree of Technology in Accounting (B-Tech Accounting, 2 Year Programme) Koforidua Technical University, Koforidua, Ghana. 4.August 2011 - June 2014 Higher National Diploma Accountancy (HND Accountancy) Koforidua Polytechnic, Koforidua, Ghana. 5.Sept 2006– May. 2009 April 2002-May 2005 Work Experience West African Senior School Certificate Examination (WASSCE) (Business Option) Presbyterian Senior High School, Ghana (PRESSEC TEMA) 6.April 2002-May 2005  Basic Education Certificate Examination (BECE) St. Peters Methodist J.H.S, Tema, Ghana   Reference: Leveraging Artificial Intelligence for Predictive Health and Safety Management in Mining Environments Integrating Artificial Intelligence (AI) into occupational health and safety systems redefines risk management strategies across high-hazard industries. This presentation explores the application of AI-driven models in predicting, monitoring, and mitigating dust exposure risks among miners a persistent health challenge in the mining sector. Drawing on case studies and research from AngloGold Ashanti operations, we demonstrate how deep learning techniques can be used to proactively analyze real-time environmental and biometric data to address respiratory health threats. The talk also highlights cybersecurity considerations in safeguarding sensitive worker data and ensuring the reliability of AI-based monitoring infrastructure. By bridging mining engineering, AI, and cyber defense, this interdisciplinary approach offers a scalable blueprint for enhancing workplace safety in resource-intensive industries.