Teye Jonathan
Biography
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
Research Interest
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
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.
