Power Electronics Design Automation

4 researchers across 1 institution

4 Researchers
1 Institutions
0 Grant PIs
0 High Impact

Researchers in this area focus on developing automated tools and methodologies for the design and optimization of power electronic systems. This work addresses challenges in efficiently converting, controlling, and delivering electrical power, which are critical for modern electronic devices and energy infrastructure. Research activities include creating algorithms for automatic circuit synthesis, layout generation, and device selection, as well as exploring techniques for parasitic extraction and reliability analysis to improve performance and reduce design cycle times. The goal is to enable the creation of smaller, more efficient, and more robust power electronic converters and systems.

This research has direct relevance to Arkansas's growing advanced manufacturing sector, particularly in industries that rely on efficient power management, such as automotive, aerospace, and renewable energy integration. Developing sophisticated design automation tools can enhance the competitiveness of Arkansas-based companies by accelerating product development and improving the performance of power-intensive applications. Furthermore, advancements in power electronics are essential for modernizing the electric grid and supporting the deployment of electric vehicles, contributing to energy efficiency and sustainability goals within the state.

This field draws upon and contributes to advancements in semiconductor devices, materials science, and integrated circuit design. Interdisciplinary collaborations explore novel materials and device structures, while also informing engineering education by developing new pedagogical approaches for teaching power electronics design. Engagement extends across multiple institutions within Arkansas, fostering a collaborative environment for innovation.

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Top Researchers

Name Institution h-index Citations Career Stage Badges
Quang Trung Le University of Arkansas 14 736
Tristan M. Evans University of Arkansas 12 403
Shilpi Mukherjee University of Arkansas 8 236
Imam Al Razi University of Arkansas 7 212

Strategic Outlook

Global signals from OpenAlex for this research area: where the field is growing, how concentrated leadership is, and where Arkansas sits relative to the world's top-100 institutions. Descriptive only — surfaced as input to the conversation about where to place bets, not a recommendation. Signal confidence: LOW

Global trajectory
1 works in 2030
-52.7% CAGR 2018–2030
Leadership concentration
5.1% held by global top 5 institutions
Fragmented HHI 20
Arkansas position
#44 globally
University of Arkansas

Top US institutions in this area

  1. 1 Virginia Tech 1,707
  2. 2 North Carolina State University 1,484
  3. 3 Texas Instruments (United States) 811
  4. 4 United States Naval Research Laboratory 713
  5. 5 General Electric (United States) 694
Browse All 4 Researchers in Directory