Prof. Gholamreza Karimi | Neuromorphic | Best Academic Researcher Award

Faculty member at Razi University, Iran

Dr. Gholamreza Karimi is a Full Professor in the Electrical Engineering Department at Razi University, Kermanshah, Iran. With over two decades of academic and research experience, he has significantly contributed to the fields of low-power analog and digital IC design, RF IC design, computational neuroscience, neuromorphic VLSI, and biological computing.

🔹Professional Profile:

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🎓Education Background

  • Ph.D. in Electrical Engineering (Electronics)
    Iran University of Science and Technology (IUST), Tehran, Iran (2006)

  • M.Sc. in Electrical Engineering (Electronics)
    Iran University of Science and Technology (IUST), Tehran, Iran (2001)

  • B.Sc. in Electrical Engineering (Electronics)
    Iran University of Science and Technology (IUST), Tehran, Iran (1999)

💼 Professional Development

Dr. Karimi joined Razi University in 1993 as an Assistant Professor and currently serves as a Full Professor in the Electrical Engineering Department. He has held various academic leadership roles, including Head of the Electrical Engineering Department since 2018. His extensive teaching and research career spans over 20 years, during which he has mentored numerous graduate and postgraduate students.

🔬Research Focus

📈Author Metrics:

  • H-index (Total): 39

  • i10-index (Total): 64

  • Total Citations: 5,320AD Scientific Index

  • H-index (Last 6 Years): 30

  • i10-index (Last 6 Years): 57

🏆Awards and Honors:

Dr. Karimi has been recognized for his contributions to electrical engineering education and research. His work in low-power IC design and neuromorphic systems has been acknowledged at national and international levels. He continues to be an active member of various academic committees and editorial boards, furthering the advancement of his research fields.

📝Publication Top Notes

1. “Theoretical framework to design and optimize feasible all-optical modulator based on multi passband slit array filters in frequency domain”

  • Authors: M Shabani, G Karimi, A Bagolini
  • Published in: Results in Engineering (2025)
  • This paper presents a theoretical framework for designing and optimizing all-optical modulators, focusing on multi-passband slit array filters in the frequency domain. It aims at achieving high modulation depth and low power consumption.

2. “The study of mutations and phylogenetics of the SARS-CoV-2 spike gene in population from Tehran province”

  • Authors: MM Ranjbar, H Keyvani, AM Latifi, M Mohammadzadeh, F Keyvani, …
  • Published in: Archives of Razi Institute (2025)
  • This research explores the mutations and phylogenetic characteristics of the SARS-CoV-2 spike gene in Tehran’s population, contributing to understanding virus spread and evolution in the region.

3. “All‐Optical Demultiplexer/Multiplexer Based on Plasmonic Technology With Ultra‐High Transmission, Ultra‐Small Size, and Very High Modulation Depth”

  • Authors: SM Mustafa, G Karimi, MR Malek Shahi, SH Abdulnabi
  • Published in: International Journal of Optics (2025)
  • This paper focuses on an all-optical demultiplexer/multiplexer using plasmonic technology, achieving ultra-high transmission, small size, and high modulation depth, crucial for efficient data transmission in optical communication systems.

4. “A Novel Digital Audio Encryption Algorithm Using Three Hyperchaotic Rabinovich System Generators”

  • Authors: AK Jawad, G Karimi, M Radmalekshahi
  • Published in: ARO: The Scientific Journal of Koya University (2024)
  • This research presents a new digital audio encryption algorithm based on three hyperchaotic Rabinovich system generators, improving encryption security in digital audio transmission.

5. “A Novel Lorenz-Rossler-Chan (LRC) Algorithm for Efficient Chaos-Based Voice Encryption”

  • Authors: G Karimi, M Radmalekshahi
  • Published in: 2024 3rd International Conference on Advances in Engineering Science
  • This paper introduces the Lorenz-Rossler-Chan (LRC) algorithm for efficient chaos-based voice encryption, focusing on enhancing security and computational efficiency in voice communication systems.

.Conclusion:

Prof. Gholamreza Karimi is a distinguished researcher whose vast contributions to electrical engineering, particularly in low-power analog and digital IC design, neuromorphic VLSI, and biological computing, make him a strong contender for the Best Academic Researcher Award. His research has had a lasting impact in the field, reflected by his high citation count, innovative work, and leadership in academia.

While Prof. Karimi has excelled in his academic journey, further industry collaboration, interdisciplinary research, and expanding global collaborations could elevate his already impressive career even further. His continuous dedication to advancing knowledge, mentoring future generations, and leading technological innovations makes him an exemplary candidate for this prestigious recognition.

Gholamreza Karimi | Neuromorphic | Best Academic Researcher Award

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