Aziz Ahmad

Dr. Aziz Ahmad is an Electronics Engineer in the Technical Support Group of the School of Engineering and Technology at UNSW Canberra, University of New South Wales. He earned his PhD in Advanced Control Systems for Renewable Energy Systems from Auckland University of Technology in 2017, MSc in Communication Engineering from the University of Manchester in 2004, MSc in Electronics with distinction and BSc in Electronics from the University of Peshawar in 2002 and 1999, respectively, and a postgraduate certificate in Effective Learning and Teaching Strategies from Unitec in 2014. Since October 2018, he has served in his current role, also acting as Wellbeing Coordinator. Previously, he lectured for seven years at Unitec Institute of Technology, convening courses including Electronic Circuits Design, Renewable Energy and Smart Grids, Power Engineering, and Sensors and Wireless Communication. His industry experience includes designing detection systems for medical devices at Randox Laboratories Ltd in Northern Ireland, controller development for co-generation plants at ENER-G Combined Power Ltd in Manchester, project evaluation at Ignite Technology Fund in the UK, and prototyping audio systems at Audio Engineering Ltd in New Zealand.

Dr. Ahmad specializes in advanced controllers for photovoltaic-based renewable energy systems with battery storage, model predictive control, renewable energy, and power systems, emphasizing practice-oriented learning and interdisciplinary approaches. His key publications encompass "Global solar irradiation forecast for New Zealand" (Journal of Solar Energy, 2015), "Prediction of Electricity Consumption for Residential Houses in New Zealand" (EAI Endorsed Transactions on Energy Web and Information Technologies, 2018), "Combined DFT and experiment: Stabilizing the electrochemical interfaces via boron Lewis acids" (Journal of Energy Chemistry, 2021), and several peer-reviewed conference proceedings such as "Maximizing Photovoltaic Array Energy Usage Within a House Using Model Predictive Control" (2017) and "Residential Household Electrical Appliance Management Using Model Predictive Control of a Grid Connected Photovoltaic-Battery System" (2016). Awards include Associate Fellow of the Higher Education Academy since 2021, early career research grants in 2017 and 2018, a three-year AUT School of Engineering tuition fee scholarship, and a three-year MBIE Callaghan Innovation Education Fellowship.