Nadali Mahmoudi

Nadali Mahmoudi is an Adjunct Senior Fellow at the School of Electrical Engineering and Computer Science, University of Queensland (UQ), Australia. He previously held a Postdoctoral Research Fellowship at the School of Information Technology and Electrical Engineering, UQ. His expertise spans power systems economics, electricity markets, demand response, renewable energy integration, and optimization techniques.

Education:

• B.Sc. in Electrical Engineering (2007), Isfahan University of Technology, Iran
• M.Sc. in Power Engineering (2010), Tarbiat Modares University, Iran
• Ph.D. in Electrical Power Engineering (2015), University of Queensland, Australia

Research Focus:

Dr. Mahmoudi’s work emphasizes demand response mechanisms, renewable energy integration, and market-driven optimization. He explores strategies for aggregators, grid resilience under renewable penetration, and stochastic modeling for energy systems. Recent projects include multi-stage planning for electricity-natural gas coordination and electric vehicle integration in distribution networks.

Publications Trends:

His publications (17 journal articles, 10 conference papers) consistently address demand response applications in power markets, renewable energy transition pathways, and optimization under uncertainty. Key themes include aggregator behavior modeling, grid flexibility, and policy impacts on energy systems.

Awards:

• UQI Scholarship (2011–2015)
• IEEE Australia Council Postgraduate Student Paper Award (2014)
• Poster Presentation Award, IEEE Australia & NZ Student Congress (2014)
• IEEE PES Queensland Travel Award (2013)
• Top First-Year PhD Student, UQ School of ITEE (2012)

Advisory & Outreach:

He leads the PES Group at UQ and seeks PhD candidates with expertise in demand response, optimization, and distribution networks. He emphasizes strong research portfolios for applicants, citing publications as critical for success.

Labs & Teams:

Active member of the Power Energy Systems (PES) Group at UQ, focusing on smart grid technologies and energy policy analysis.