Master’s graduate and independent researcher at Kermanshah University of Technology, Iran
Milad Ghanbarpour is a dedicated researcher with a strong academic background and a focus on biomedical engineering, neuromorphic systems, and bioinspired engineering. His work has been recognized through multiple publications in prestigious journals, demonstrating his commitment to advancing the field. Ghanbarpour’s expertise spans both theoretical and practical aspects of digital hardware implementation, particularly in biological neural networks and related areas.
Professional Profile:
Education🎓
Milad Ghanbarpour holds a Bachelor of Science (BSc) in Hardware Engineering from Kermanshah University of Technology, Iran, completed in 2016 with a GPA of 15.85/20. He further pursued a Master of Science (MSc) in Electronic Engineering at the same institution, graduating in 2022 with an impressive GPA of 18.35/20. His academic achievements are complemented by theses that focus on innovative solutions, including designing mobile software for the elderly and implementing low-cost models for adaptive retinal cells.
Professional Experience 💼
Ghanbarpour has extensive experience in teaching and mentoring, having conducted several courses on SPSS, LaTex, FPGA, and MATLAB. His teaching experience demonstrates his ability to effectively communicate complex concepts and his dedication to nurturing future engineers and researchers. This experience, combined with his research activities, highlights his well-rounded professional profile.
Research interest🔍
Milad Ghanbarpour’s research interests lie at the intersection of biomedical engineering, bioinspired engineering, neuromorphic systems, and neuroscience. He is particularly focused on the optimal digital implementation of biological neural networks on FPGA platforms. His work aims to bridge the gap between biological processes and digital systems, contributing to advancements in neuromorphic engineering and related fields.
Award and Honor🏅
Throughout his academic journey, Milad Ghanbarpour has earned several accolades, including placement in the top 25% of his bachelor’s degree program and achieving the highest GPA in his master’s program. These honors underscore his academic excellence and dedication to his field of study. While his research achievements are substantial, further recognition through awards in the research domain would enhance his distinguished profile.
Achievements
- 🎓 Top 25% Placement in BSc in Hardware Engineering at Kermanshah University of Technology.
- 🏅 Highest GPA in MSc in Electronic Engineering at Kermanshah University of Technology (18.35/20).
- 📝 Published Multiple Research Papers in prestigious journals like IEEE Transactions and AEU-International Journal of Electronics and Communications.
- 🌍 International Collaboration with researchers across various countries, contributing to globally recognized research projects.
- 📚 Teaching Experience in SPSS, LaTex, FPGA, and MATLAB, demonstrating strong communication and mentoring skills.
- 💡 Innovative Research in neuromorphic systems, bioinspired engineering, and biomedical applications, with a focus on FPGA implementations.
- 🧠 Interdisciplinary Expertise in bridging biological processes and digital systems through cutting-edge research.
Publications top noted📜
- 📚 An efficient digital realization of retinal light adaptation in cone photoreceptors
- Authors: M Ghanbarpour, A Naderi, S Haghiri, A Ahmadi
- Journal: IEEE Transactions on Circuits and Systems I: Regular Papers
- Year: 2021
- Citations: 14
- 📚 Digital hardware implementation of Morris-Lecar, Izhikevich, and Hodgkin-Huxley neuron models with high accuracy and low resources
- Authors: M Ghanbarpour, A Naderi, B Ghanbari, S Haghiri, A Ahmadi
- Journal: IEEE Transactions on Circuits and Systems I: Regular Papers
- Year: 2023
- Citations: 12
- 📚 Efficient Digital Realization of Endocrine Pancreatic β-Cells
- Authors: M Ghanbarpour, A Naderi, S Haghiri, B Ghanbari, A Ahmadi
- Journal: IEEE Transactions on Biomedical Circuits and Systems
- Year: 2023
- Citations: 10
- 📚 A microstrip lowpass filter with sharp roll-off using arrow-shaped resonators and high-impedance open stubs
- Authors: SH Kazemi, M Ghanbarpour, A Zahedi, M Hayati
- Journal: AEU-International Journal of Electronics and Communications
- Year: 2021
- Citations: 6
- 📚 Investigation on vision system: Digital FPGA implementation in case of retina rod cells
- Authors: M Ghanbarpour, S Haghiri, F Hazzazi, M Assaad, MA Chaudhary, A Ahmadi
- Journal: IEEE Transactions on Biomedical Circuits and Systems
- Year: 2023
- Citations: 5
- 📚 FPGA Implementation of Nerve Cell Using Izhikevich Neuronal Model As Spike Generator (SG)
- Authors: MT Islam, F Hazzazi, A Hoque, S Haghiri, MA Chaudhary, M Ghanbarpour
- Journal: IEEE Access
- Year: 2023
- Citations: 4
- 📚 Digital System Implementation and Large-Scale Approach in Neuronal Modeling Using Adex Biological Neuron
- Authors: MA Chaudhary, F Hazzazi, M Ghanbarpour
- Journal: IEEE Transactions on Circuits and Systems II: Express Briefs
- Year: 2024
- Citations: 3
- 📚 Low-error, high-speed, and large-scale hardware implementation of retinal photoreceptor cells: Cone and rod cells
- Authors: G Ghanbarpour, M Ghanbarpour
- Journal: AEU-International Journal of Electronics and Communications
- Year: 2024
- Citations: 0 (New Publication)
- 📚 New Model For Wilson and Morris–Lecar Neuron Models: Validation and Digital Implementation on FPGA
- Authors: G Ghanbarpour, A Hoque, M Assaad, M Ghanbarpour
- Journal: IEEE Access
- Year: 2024
- Citations: 0 (New Publication)
- 📚 Sinoatrial Node Cells Implementation by Low Cost Digital Hardware
- Authors: A Naderi, G Ghanbarpour, M Ghanbarpour, S Haghiri, A Ahmadi
- Journal: (To be published)
- Year: 2024
- Citations: 0 (Upcoming Publication)
