Muhammad Paend Bakht
Post-Doctoral Fellow – Renewable EnergyResearch Interests
- Renewable energy integration in agriculture
- Energy economics & policy in agriculture
- Techno-economic and environmental assessment of renewable energy systems
- Machine Learning Applications in Energy
Current Projects
Engagement Levels of Farming Sector in Renewable Energy and Bioeconomy Projects: Balancing Economic and Environmental Sustainability funded by SEAI
Education
- PhD, University of Technology Malaysia, Electrical Engineering.
- MSc Engineering BUITEMS, Telecommunication Engineering
- BSc Engineering, COMSATS University, Electrical Engineering
Professional Membership
- Institute of Electrical and Electronics Engineers (IEEE)
- Pakistan Engineering Council (PEC)
- Climate-Smart Agriculture: A Path to Sustainable Food Production, 26 November 2024, Kabul University Afghanistan
- Optimizing Microgrid Efficiency with Interpolation and Resampling Techniques for Enhanced Machine Learning Performance, 24 July 2024, Southampton University Malaysia
- Applications of AI in Medical Research: From Diagnostic and Treatment Optimization to Personalized Medicines, 24 January 2024, Saveetha Engineering College India
- Application of Machine Learning to Forecast Solar Photovoltaic Output Power, 28 August 2023, University of Tun Hussein Onn Malaysia
- Impact of electric vehicles and photovoltaic systems on power grids: A comprehensive survey, 16 November 2023, Maldives National University
- Hybrid Energy Systems: A Pathway from Conventional to Sustainable Power Generation, 5 December 2023, University of Science Malaysia
- Optimal Microgrids: Signal Processing and Machine Learning Applications, 30 May 2023, University of Technology Malaysia
- A solution to mitigate load shedding problem using hybrid energy system: Case study of Pakistan, 30 July 2022, Curtin University Malaysia
I currently do not have students at Teagasc; however, I have supervised an undergraduate project titled "An IoT-Based Solar Panel PV Monitoring System Powered by Machine Learning for Enhanced Solar PV Prediction" at the University of Tun Hussein Onn Malaysia. Additionally, I have had the privilege of delivering various undergraduate-level courses in Electrical, Telecommunication, and Electronic Engineering at BUITEMS, Pakistan.