PhD student | University of technology Sydney | Australia
Sajad Zandi, born on March 27, 1988, is a highly skilled electrical engineer specializing in telecommunications. With extensive experience in research and development, project management, and academia, Sajad is currently a Senior Researcher at the School of Science, Swinburne University of Technology, Australia. Residing in Tehran, Iran, he is dedicated to advancing the field of electrical engineering through innovation and research.
Profile
Scopus
Education 🎓
Sajad holds a Master of Electrical Engineering in Telecommunication from Malayer University, Iran (2014-2017), with a GPA of 17.33 out of 20. He earned his Bachelor of Telecommunication Engineering (Transmission) from the Safahan Institute of Higher Education, Iran (2009-2011), with a GPA of 16.76 out of 20. Additionally, he holds an Associate degree in Telecommunication-Data Communication from Hormozgan University, Iran (2007-2009), with a GPA of 16.30 out of 20.
Experience 🏢
Currently, Sajad is a Researcher in the R&D Department at SINA Innovative Communications System Company, Tehran, Iran. Previously, he served as a Technical Project Manager at Nokia-OM International Company, Tehran, Iran (2017-2019) and as a Researcher at Nabius International Institution, Esfahan, Iran (2011-2014).
Research Interests 🔍
Sajad’s research interests lie in advanced telecommunication systems, deep learning, machine learning, and computer vision. His work focuses on developing robust algorithms and innovative solutions to address challenges in data communication and signal processing.
Awards 🏆
- Reviewing Journal of Signal Processing Award (March 2023)
- TOEFL iBT (home edition) overall score: 102 (December 2021)
- Online Courses in Adaptation and Learning (2015), covering tools, algorithms, and core concepts related to data inference, data analysis, and adaptation and learning theories.
Publications 📚
- 2023: “Diffusion Normalized Maximum Versoria Criterion Robust to Impulsive Noise,” IEEE Transactions on Circuits and Systems II: Express Briefs Journal. Link
- 2022: “Diffusion Maximum Versoria Criterion Robust to Impulsive Noise,” Digital Signal Processing Journal. Link
- 2021: “A Class of Diffusion Proportionate Subband Adaptive Filters for Sparse System Identification over Distributed Networks,” Circuits Systems and Signal Processing Journal. Link
- 2017: “A distributed algorithm for demand-side management: Selling back to the grid,” Heliyon Journal. Link