Shahriar Shirvani Moghaddam | Wireless Communications and Signal Processing | Best Researcher Award

Assoc. Prof. Dr. Shahriar Shirvani Moghaddam | Wireless Communications and Signal Processing | Best Researcher Award

Senior Lecturer at Shahid Rajaee Teacher Training University | Iran

Assoc. Prof. Dr. Shahriar Shirvani Moghaddam, Ph.D. in Electrical Engineering and Associate Professor of Communications at the Faculty of Electrical Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran, is a distinguished IEEE Senior Member and an internationally recognized researcher in IRS-assisted wireless communications, D2D and V2V communications, cognitive radio, heterogeneous networks, broadband Internet, IoT, ultra-dense networks, and digital array signal processing. As a prolific academic, he has authored numerous peer-reviewed publications in leading journals such as IEEE Access, Engineering Reports, Physical Communication, Electronics, and IET Wireless Sensor Systems, covering groundbreaking contributions ranging from intelligent reflecting surfaces, data sorting algorithms, MIMO optimization, and broadband communication architectures to energy-efficient and sustainable network design. His extensive scholarly output includes 43 JCR, ISI, Scopus, and ISC-indexed journal papers, over 60 additional journal and conference papers, book authorship and editorial works in digital and cognitive radio communications, and multiple research collaborations and projects bridging academia and industry. Dr. Moghaddam has played key leadership roles including Dean and Head of the Faculty and Communications Department, designed the Digital Communications Laboratory, and supervised numerous M.Sc. and Ph.D. theses in advanced communication systems. His research excellence has earned him multiple best researcher, lecturer, and publication awards, along with recognition for his editorial and reviewing contributions to over 600 international papers. A passionate educator and innovator, Dr. Moghaddam’s research vision emphasizes the integration of AI-driven optimization, intelligent surfaces, and ultra-reliable wireless communication technologies to transform next-generation networks toward smart, connected, and sustainable communication ecosystems.

Profile: Scopus | Orcid | Google Scholar

Featured Publications:

Shirvani Moghaddam, S., & Shirvani Moghaddam, K. (2025). A group-based coarse-fine algorithm for intelligent reflecting surface beamforming. Physical Communication. 

Shirvani Moghaddam, S. (2024). The past, present, and future of the Internet: A statistical, technical, and functional comparison of wired/wireless fixed/mobile Internet. Electronics (Switzerland). 

Shirvani Moghaddam, S., & Shirvani Moghaddam, K. (2023). A threshold-based sorting algorithm for dense wireless sensor systems and communication networks. IET Wireless Sensor Systems. 

Shirvani Moghaddam, S., & Shirvani Moghaddam, K. (2022). A general framework for sorting large data sets using independent subarrays of approximately equal length. IEEE Access. 

Shirvani Moghaddam, S. (Conference Paper). Kuhn-Munkres-based sub-optimum resource allocation algorithm for ultra-dense networks.

Shirvani Moghaddam, S. (Conference Paper). A Munkres-based D2D resource allocation algorithm aware of cluster information.

Prof Romuald Rzadkowski | Signal processing | Best Researcher Award

Prof Romuald Rzadkowski | Signal processing | Best Researcher Award

Head of Aeroelastic Departement, Institute of Fluid-Flow Machinery, Polish Academy of Sciences, str Jozefa Fiszera, Poland

Professor Romuald Rzadkowski is a renowned Associate Professor of Chemistry and a distinguished expert in the field of turbomachinery dynamics. With a strong academic background and extensive experience, he has made significant contributions to the scientific community. As the Head of the Aeroelastic Department at the Institute of Fluid-Flow Machinery, Polish Academy of Sciences, Gdansk, Professor Rzadkowski has supervised 10 doctoral students and published over 200 scientific papers. His dedication to research and education has earned him recognition as a Fellow of IFToMM and ASME Committee-Structures and Dynamics.

Profile

scholar

🎓 Education

– *MSc in Engineering*: Gdansk University of Technology (1978) 🛠️– *MSc in Mathematics*: University of Gdansk (1983) 📚– *PhD*: Institute of Fluid Flow Machinery, Polish Academy of Sciences, Gdansk (1988) 🔬– *DSc*: Institute of Fluid Flow Machinery, Polish Academy of Sciences, Gdansk (1998) 📚His strong academic foundation has enabled him to excel in his research and academic pursuits.

👨‍🔬 Experience

– *Head of Aeroelastic Department*: Institute of Fluid-Flow Machinery, Polish Academy of Sciences, Gdansk (since 2004) 🔝– *Vice-Editor*: Journal of Vibration Engineering and Technologies 📄– *Organizer*: VETOMAC conferences 🎯– *Fellow*: IFToMM and ASME Committee-Structures and Dynamics 🤝– *Member*: Scientific expert committees 📝– *Supervised 10 doctoral students*: Mentoring and guiding the next generation of researchers

Awards and Honors 🏆

Professor Rzadkowski’s achievements have been recognized with various awards and honors, including:- *Fellowship*: IFToMM and ASME Committee-Structures and Dynamics 🌟– *Authorship*: 18 books and editor of 2 books 📚– *Publications*: Over 200 scientific papers 📄His contributions to the field of turbomachinery dynamics have earned him a reputation as a leading expert.

🔍 Research Interest

– *Dynamics of Turbomachinery*: Studying the behavior of turbomachinery under various operating conditions 🔄– *Life Estimation of Turbine Blades*: Developing methods to predict the remaining life of turbine blades 🔩– *Unsteady Aerodynamics*: Investigating the aerodynamic behavior of turbomachinery in unsteady flow conditions 💨– *Flutter*: Analyzing the stability of turbomachinery blades under various flow conditions 📊– *Signal Analysis and Diagnostics*: Developing techniques for signal analysis and diagnostics in turbomachinery

📚 Publications 

– Dynamics of Turbomachinery 🔄
– Life Estimation of Turbine Blades 🔩
– Unsteady Aerodynamics 💨
– Flutter 📊
– Signal Analysis and Diagnostics 🔍
– Tip-timing algorithms and systems 🕰️
– Guidelines for monitoring and estimating remaining life after failure events in turbomachinery

Conclusion

Professor Romuald Rzadkowski’s impressive academic and research background, coupled with his leadership roles and mentorship, make him a strong candidate in many respects. However, the “Young Scientist” award typically targets researchers in the early stages of their careers. Given Professor Rzadkowski’s experience and position, he might not fit the standard criteria for this specific award, despite his significant contributions to the field.