معرفی
H. Aji is a researcher specializing in power systems engineering with expertise in high-voltage direct current (HVDC) transmission and machine learning applications for grid management. Holding an MSc degree and the professional title Ir. (Insinyur), his work focuses on critical infrastructure challenges in regional power systems, particularly the Java-Bali grid in Indonesia. International collaboration is evident through co-authorship with Dutch researchers on HVDC fault control studies.
His research integrates electrical engineering fundamentals with cutting-edge AI techniques, notably Long Short-Term Memory (LSTM) networks for load forecasting and modular multilevel converter (MMC) control strategies for fault management. This dual focus addresses both traditional grid stability issues and modern data-driven optimization needs, reflecting a strategic evolution from hardware-centric solutions toward AI-enhanced grid analytics.
Analysis of his publication timeline reveals a clear trajectory: the 2016 work on MMC-HVDC fault control established foundational power electronics expertise, while the 2023 LSTM load forecasting study demonstrates adaptation to computational intelligence trends. This progression highlights responsiveness to industry shifts toward smart grid technologies and renewable energy integration challenges in developing regions.
While supervision practices and grant funding details aren't documented, his active publication record spanning seven years indicates sustained research engagement. The absence of laboratory or award information suggests focus remains on core engineering research rather than large-scale team leadership or prize-winning innovations.
