Huilong Gao | Electrical Engineering | Research Excellence Award

Dr. Huilong Gao | Electrical Engineering | Research Excellence Award

University of Wisconsin–Madison | United States.

Dr. Huilong Gao is a doctoral researcher in electrical and computer engineering specializing in III–V semiconductor optoelectronic devices, with a primary focus on mid-infrared quantum cascade lasers. His research integrates active-region design, optical and electrical modeling, and advanced device simulation using k·p theory and multiphysics tools. He has strong expertise in cleanroom fabrication, including regrowth-compatible processing, deep dry etching, and precision metallization for high-performance laser structures. His work combines device design with comprehensive electrical, optical, and cryogenic characterization to enhance efficiency, power, and reliability. He has contributed to the development of record-high wall-plug-efficiency QCLs and advanced buried heterostructure and DFB laser platforms. His research contributions are recognized through peer-reviewed publications in leading photonics and applied physics journals. His scholarly impact includes 60 citations with an h-index of 5 and an i10-index of 3.

Citation Metrics (Google Scholar)

60

45

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Citations
60

h-index
5

i10-index
3


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Mohammad Hasan Parvaneh | Electrical Engineering | Young Scientist Award

Dr. Mohammad Hasan Parvaneh | Electrical Engineering | Young Scientist Award

Engineer, West Regional Electric Company, Iran

Mohammad Hasan Parvaneh is a skilled electrical engineer specializing in power systems, smart grid technologies, and solar energy. Based in Kermanshah, Iran, he has a strong background in both theoretical and practical aspects of electrical engineering, particularly in the design and optimization of energy systems. With years of experience in the field, Mohammad has worked on numerous high-profile projects, contributing to the development and operation of electrical power networks and substations. He is currently a Senior Expert at West Regional Electric Company and has earned recognition for his research and contributions to the field. 🌟⚡️

Publication Profile

Google Scholar

Education

Mohammad Hasan Parvaneh holds a Master of Science in Electrical Engineering with a focus on Power Systems from Bu-Ali Sina University, Iran (2011–2014), where he achieved a GPA of 17.20/20. His thesis on “A robust hybrid method based on fuzzy logic for maximum power point tracking of photovoltaic systems” was supervised by Dr. Mohammad Hasan Moradi. He also holds a Bachelor of Science in Electrical Engineering (Electronic) from Razi University, Iran, with a GPA of 16.30/20. 🎓🔌

Experience

Mohammad has extensive professional experience in the electrical power sector. He is currently working as a Senior Expert at West Regional Electric Company, where he supervises the development, construction, installation, testing, and commissioning of high-voltage substations. Prior to this, he served as an Instrument Expert at Kermanshah Polymer Petrochemical Company and a Senior Expert at West Azerbaijan Electricity Power Distribution, overseeing power distribution networks and fault management. ⚙️🔧

Awards and Honors

Throughout his career, Mohammad has received several honors, including being recognized as the best researcher in Kermanshah Province by Razi University and the Kermanshah Governorate. Additionally, he has received high academic recognition for his excellence in courses such as Electrical Circuits, Control Systems, Neural Networks, and more, achieving impressive grades of 17–18 out of 20. 🏆📚

Research Focus

Mohammad’s research interests lie in electrical power systems, smart grid technologies, and renewable energy, with a particular focus on solar energy. He has published a number of papers and is actively involved in advancing technologies for maximum power point tracking in photovoltaic systems and optimizing power allocation in electrical grids. His ongoing research aims to improve the efficiency and reliability of energy systems, with applications in isolated microgrids and renewable energy integration. 🔋☀️

Publications

A new hybrid method based on fuzzy logic for maximum power point tracking of photovoltaic systems
Energy Reports, 6 (2020): 1619-1632.
DOI: 10.1016/j.egyr.2020.06.010

A mutated salp swarm algorithm for optimum allocation of active and reactive power sources in radial distribution systems
Applied Soft Computing, 85 (2019): 105833.
DOI: 10.1016/j.asoc.2019.105833

Photovoltaic Systems: Advances in Research and Applications
Book in Print

The advantages of capacitor bank placement and demand response program execution on the optimal operation of isolated microgrids
Electric Power System Research Journal (Under Review) 🔍📄