Mohammad Hazzaz Mahmud Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

Last publication 2026 Last refreshed 2026-05-09

faculty

11 h-index 29 pubs 511 cited

Biography and Research Information

OverviewAI-generated summary

Mohammad Hazzaz Mahmud's research focuses on power electronics, particularly the design and control of converters utilizing silicon carbide (SiC) semiconductor devices. His work addresses challenges in high-power applications, such as those found in heavy-duty traction systems. Publications detail the electrothermal co-design of dual inverters, the development of medium-voltage, high-power converters with optimized architectures, and enhancements to direct torque control for inverters.

Mahmud also investigates advanced cooling techniques for power electronics, including the use of additively manufactured flow manifolds for direct cooling of high-density components. His research includes risk assessment for SiC MOSFET-based inverters under demanding operating conditions, such as high coolant temperatures and off-road profiles, as well as methods for current balancing in high-power SiC inverters with paralleled modules. He has collaborated with researchers at the University of Arkansas at Fayetteville, including Zhuxuan Ma and Yue Zhao.

Metrics

  • h-index: 11
  • Publications: 29
  • Citations: 511

Selected Publications

  • Temperature Balancing for Reliability Enhancement of Power Electronics via Airflow Inversion Cooling (2026)
  • Current Balancing Methods for a High Power Silicon Carbide Inverter with Paralleled Modules (2022)
    2 citations DOI OpenAlex
  • Extremum Seeking Control based Resonant Frequency Estimation for a Grid-Tied Inverter with LCL Filter (2021)
  • System and Component Level Risk Assessment for SiC MOSFET Based Inverter for Traction Application at High Coolant Temperatures and Off-Road Mission Profile (2021)
    3 citations DOI OpenAlex
  • Electrothermal-Control Co-Design of an All Silicon Carbide 2×250 kW Dual Inverter for Heavy-Duty Traction Applications (2021)
    22 citations DOI OpenAlex
  • Adaptive Extremum Seeking Control Based <i>LCL</i> Filter Resonant Frequency Online Estimation (2021)
    7 citations DOI OpenAlex

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Collaboration Network

26 Collaborators 8 Institutions 3 Countries

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