معرفی
Tehreem Ashfaq is a PhD candidate at City, University of London, under Dr. Esther Mondragón and Prof. Eduardo Alonso, focusing on developing self-learning platforms for automotive part failure prediction. Previously, she served as a Research Associate at COMSATS University Islamabad from 2018 to 2021, during which she published multiple articles in top-tier journals and presented research at international conferences. Her work emphasizes leveraging AI and machine learning for solving real-world challenges in energy systems and intelligent transportation.
Education:
- PhD in Artificial Intelligence, City, University of London (2023)
- MS in Computer Science, COMSATS University Islamabad (2019–2021)
Research Interests:
- Machine learning applications for predictive maintenance
- Blockchain-based secure energy trading mechanisms
- Smart grid optimization using meta-heuristic algorithms
- Intelligent systems for vehicle fault detection
- Energy management in smart cities
Publications Trends: Her recent work focuses on integrating blockchain technology with machine learning to address security and efficiency challenges in energy systems and transportation. Key themes include optimizing energy trading protocols, enhancing fraud detection in decentralized networks, and improving short-term load forecasting through hybrid models.
Awards:
- Industrial Scholarship funded by Bosch ASS Ltd.
Professional Contributions: Advised no formal students but contributed to academic dissemination through conference presentations and peer-reviewed publications. Active in collaborative projects involving Bosch and other industry partners.
Labs/Teams: Affiliated with the Artificial Intelligence Research Centre at City, University of London, and previously with COMSATS' Department of Computer Science.
