Doojin Lee | Electrical Engineering | Best Researcher Award

Prof. Dr. Doojin Lee | Electrical Engineering | Best Researcher Award

Changwon National University, South Korea

Dr. Doojin Lee is an Assistant Professor in the Department of Electronic Engineering at Changwon National University (CWNU), South Korea. His work bridges theoretical and applied aspects of antenna design, ultra-wideband (UWB) radar systems, electromagnetic cloaking, and advanced signal processing. With postdoctoral and research experience at globally recognized institutions — including The Ohio State University, University of Waterloo, University of Mississippi, and South Korea’s Agency for Defense Development — Dr. Lee has established himself as a rising expert in his field. His research includes contributions to NASA projects, military radar systems, biomedical sensing, and wearable imaging technologies. Dr. Lee’s expertise spans hardware and software, covering antenna simulation, fabrication, electromagnetic measurements, and radar algorithm development. Beyond research, he contributes actively as a reviewer for prestigious journals such as IEEE Transactions on Antennas and Propagation, IEEE Access, and IET Electronics Letters, reflecting his international reputation. He is also a long-standing member of the Korean Institute of Electromagnetic Engineering and Science. Dr. Lee’s professional trajectory is marked by steady academic growth, international collaborations, and technical excellence, making him a promising candidate for research recognition. He continues to push the boundaries of radar and antenna technologies, with a vision to develop next-generation electromagnetic sensing systems for diverse applications.

Professional Profile

Education

Dr. Doojin Lee completed his integrated M.S./Ph.D. program at the Gwangju Institute of Science and Technology (GIST), South Korea, earning his doctorate in Biomedical and Electronic Engineering in 2017. His dissertation focused on ultra-wideband electromagnetic sensors, particularly resistively loaded dipole antennas for skull imaging applications, setting the stage for his specialization in biomedical and radar sensing technologies. Before his graduate studies, he earned his B.S. in Electronic Engineering from Changwon National University (CWNU) in 2012, where his foundation in mechatronics and electronics developed. Post-Ph.D., Dr. Lee pursued advanced research as a postdoctoral fellow at the University of Waterloo, Canada, where he worked on UWB pulsed radar sensors for UAV applications and electromagnetic remote sensing. He continued as a postdoctoral fellow at The Ohio State University, focusing on GNSS receiver design and ground-penetrating radar antennas in collaboration with NASA. Later, as a research associate at the University of Mississippi, he explored electromagnetic cloaking using mantle metasurfaces. This diverse international educational and research background has shaped Dr. Lee’s multidisciplinary approach, blending antenna design, signal processing, and sensing technologies. His formal education and postdoctoral training reflect a consistent focus on cutting-edge electromagnetic research.

Professional Experience

Dr. Doojin Lee’s professional experience spans both academic and applied research settings, reflecting a balance of theoretical innovation and practical development. Since October 2022, he has served as an Assistant Professor in the School of Electrical, Electronic, and Control Engineering at Changwon National University (CWNU), South Korea, where he focuses on ultrawideband (UWB) antenna design and electromagnetic cloaking theories. Prior to this, Dr. Lee worked as a senior researcher at the Agency for Defense Development (ADD) in South Korea from 2020 to 2022, contributing to the analysis of electromagnetic interference on integrated masts for advanced naval combat systems under the KDDX project. Earlier, he gained international research experience at leading institutions: at the University of Mississippi, he worked on metasurface-based electromagnetic cloaking; at The Ohio State University’s ElectroScience Laboratory, he collaborated with NASA on GNSS receivers and non-contact GPR antennas; and at the University of Waterloo, he developed UWB radar sensors for UAVs and military surveillance. These roles demonstrate his broad expertise in antenna design, radar systems, electromagnetic sensing, and applied defense technologies. His career path highlights a progressive blend of academic leadership, government-funded research, and cross-national collaborations in cutting-edge electromagnetic engineering.

Research Interests

Dr. Doojin Lee’s research interests center on the design, development, and verification of advanced electromagnetic and radar systems. His work on ultra-wideband (UWB) impulse radar sensors addresses critical applications such as ground-penetrating radar, foliage-penetration radar, and through-wall radar imaging, making significant contributions to both civilian and military sectors. He is particularly interested in antenna innovations, including the design of small, planar, resistive, wrapped, and bowtie antennas, as well as the development of multi-input multi-output (MIMO) antenna arrays and packaging techniques. Another major focus area is electromagnetic cloaking, where Dr. Lee explores mantle metasurfaces to decouple closely spaced or overlapping phased antenna arrays, aiming to minimize electromagnetic interference and improve system efficiency. Additionally, his work on GNSS antenna receiver design advances the field of precise global navigation technologies, which are critical for aerospace and geospatial applications. He also has strong interests in physics-based and radar image signal processing, where algorithm development complements his hardware innovations. Overall, Dr. Lee’s research integrates electromagnetic theory, materials, hardware design, and signal processing, creating a comprehensive portfolio that addresses both fundamental scientific challenges and real-world sensing and communication problems.

Research Skills

Dr. Doojin Lee possesses a wide range of advanced research skills that span simulation, fabrication, measurement, and analysis. He is proficient in using leading electromagnetic simulation software such as HFSS, CST, FEKO, ADS, AutoCAD, and OrCAD, which allow him to design and optimize complex antenna structures and radar systems. His programming and data analysis capabilities are supported by strong MATLAB skills, essential for algorithm development and signal processing tasks. In hardware, Dr. Lee is experienced in photolithography and chemical etching techniques for precise PCB fabrication, enabling the creation of experimental prototypes for antenna and radar testing. His measurement expertise includes operating vector network analyzers, conducting far-field and near-field antenna measurements, and analyzing electromagnetic interference, ensuring accurate experimental validation of designs. Additionally, Dr. Lee is skilled in using LaTeX for scientific publishing, reflecting his experience in preparing high-quality technical reports and journal articles. These combined technical competencies allow him to bridge the full cycle of research and development, from theoretical design and simulation to prototype fabrication, experimental testing, and performance optimization across a broad range of electromagnetic applications.

Awards and Honors

While specific named awards or honors are not detailed in the available records, Dr. Doojin Lee’s professional recognition is evidenced by his continuous role as a reviewer for top-tier international journals, including IEEE Transactions on Antennas and Propagation, IEEE Access, and IET Electronics Letters. Serving as a reviewer for these journals since 2017–2018 demonstrates that his expertise is trusted and valued by the global scientific community, an acknowledgment that often parallels formal academic honors. Additionally, Dr. Lee’s selection as a research collaborator on NASA-supported projects and national defense research programs such as the KDDX initiative reflects a level of professional respect and trust awarded only to highly competent and reliable experts. His early-career achievements, including publication highlights and a featured interview in Electronics Letters, further underscore his growing recognition in the field of electromagnetic engineering. While expanding his portfolio with formal awards, fellowships, or competitive research grants would further boost his profile, his current standing as a respected contributor and international collaborator already places him among promising researchers with a steadily rising reputation.

Conclusion

In conclusion, Dr. Doojin Lee presents himself as a highly capable, technically skilled researcher with a clear focus on advancing antenna and radar system technologies. His academic and professional journey demonstrates a consistent commitment to both foundational and applied research, with projects that span biomedical sensing, aerospace communication, ground-penetrating radar, and electromagnetic cloaking. His technical mastery across simulation, fabrication, measurement, and signal processing enables him to contribute meaningfully to complex, multidisciplinary projects. Dr. Lee’s reputation as a regular reviewer for top international journals and his history of collaboration with prestigious organizations like NASA and national defense agencies position him as an emerging leader in his field. To maximize his competitiveness for high-level research awards, he may benefit from increasing his formal leadership in large-scale projects, expanding his independent research funding, and documenting high-impact contributions such as patents, innovations, or societal applications. Overall, Dr. Lee’s research excellence, international collaborations, and specialized expertise make him a strong candidate for recognition through a Best Researcher Award, reflecting both his current accomplishments and his significant potential for future contributions.

Publications Top Notes

  1. Design of Multi-Time Programmable Intellectual Property with Built-In Error Correction Code Function Based on Bipolar–CMOS–DMOS Process

    • Authors: L. Li, S. Kwon, D. Kim, D. Lee, Y. Kim

    • Year: 2025

  2. Investigation of Dual-Mode Cloaked Cylindrical Slot Antennas with a Pulsed Radar Signal Processing

    • Authors: D. Lee, A.B. Yakovlev

    • Year: 2024

  3. Design and Investigation on Antipodal Vivaldi Antenna Emitting a Pulse-Like Waveform for Imaging Close-Range Objects

    • Authors: D. Lee, S. Raman, R. Augustine

    • Year: 2024

    • Citations: 1

 

Seyed Ali Mousavi | Wireless Communication | Best Researcher Award

Dr. Seyed Ali Mousavi | Wireless Communication | Best Researcher Award

Lecturer at Shiraz University at Shiraz University of Technology, Iran

S. Ali Mousavi is a dedicated researcher and lecturer at Shiraz University of Technology, specializing in machine learning, optimization, and wireless communication. With a passion for addressing complex problems through innovative algorithms, he has made significant contributions to his field through impactful research projects and publications. His academic journey is marked by excellence, with a strong foundation in communication systems and electronics engineering. Ali’s work on cell-free networks, MIMO systems, and advanced AI-based applications has gained recognition in reputed journals and conferences. Beyond research, he has proven himself as an effective educator, delivering advanced courses in communication systems, machine learning, and signal processing. His diverse skill set, combining theoretical expertise and practical implementation, positions him as a valuable contributor to the evolving landscape of technology and engineering.

Professional Profile

Education

S. Ali Mousavi is currently pursuing a Ph.D. in Communication Systems at Shiraz University of Technology, where he maintains a stellar GPA of 3.78/4. His research focuses on enhancing spectral efficiency in cell-free networks using optimization and machine learning algorithms. He earned his M.Sc. in Communication Systems from Shiraz University, focusing on cognitive MIMO systems and solving optimization problems using advanced algorithms. His B.Sc. in Electronics Engineering, obtained from Malek-Ashtar University of Technology, focused on robotics and image processing, utilizing machine learning algorithms to enable robotic decision-making. His academic background demonstrates a consistent focus on cutting-edge research and technological innovation, solidifying his expertise in communication systems, machine learning, and electronics engineering.

Professional Experience

Ali has extensive teaching and research experience as a lecturer at Shiraz University of Technology. Since 2020, he has taught advanced courses, including Communication Systems, MIMO Systems, Machine Learning, and Signal Processing. His professional journey includes involvement in multidisciplinary research projects such as designing learning-based control systems for ADAS, implementing machine learning algorithms for signal processing, and developing image processing techniques. These projects showcase his ability to integrate advanced technologies with real-world applications. He has also collaborated with international researchers, such as Prof. M.H. Khooban at Aarhus University, Denmark, on power system optimization. His role as an educator and researcher reflects his commitment to advancing academic knowledge and solving practical engineering challenges.

Research Interests

S. Ali Mousavi’s research interests lie at the intersection of machine learning, wireless communication, and optimization algorithms. His primary focus is on developing AI-based solutions for complex problems in communication systems, including spectral efficiency optimization in cell-free networks and parameter estimation in cognitive MIMO systems. He is passionate about applying deep learning, federated learning, and swarm optimization techniques to address challenges in signal processing, robotics, and energy systems. His interests extend to innovative applications such as wireless power transfer and advanced driver assistance systems, where he combines theoretical knowledge with practical implementations. Ali’s commitment to exploring cutting-edge technologies makes his research highly relevant in today’s rapidly evolving technological landscape.

Research Skills

Ali possesses advanced research skills in optimization, machine learning, and signal processing. He is adept at using programming tools like MATLAB and Python to implement deep learning and optimization algorithms. His expertise includes designing and simulating complex systems, such as cell-free NOMA networks, and conducting detailed parameter estimation using statistical techniques. Ali’s technical proficiency extends to hardware-in-the-loop (HiL) simulation, image processing, and AI-based decision-making for robotics. He is skilled in bridging theoretical research with practical applications, as demonstrated in his projects on wireless communication, energy systems, and robotics. His collaborative experience and ability to adopt cutting-edge technologies highlight his versatility as a researcher.

Awards and Honors

Throughout his academic and professional journey, Ali has achieved notable recognition for his contributions to research and education. His innovative work on cell-free networks, cognitive MIMO systems, and advanced signal processing has been published in high-impact journals, including Wireless Networks and IET Power Electronics. He has also co-authored a chapter in an Elsevier publication, showcasing his expertise in machine learning applications for energy systems. Additionally, Ali has been invited to present his findings at esteemed international conferences, further solidifying his reputation in the field. His commitment to academic excellence and impactful research continues to earn him accolades within the scientific community.

Conclusion

S. Ali Mousavi demonstrates exceptional academic and research capabilities, particularly in machine learning, wireless communication, and optimization. His ability to bridge theoretical innovation with practical application is commendable, as evidenced by his projects, teaching roles, and publications. While he could benefit from increased global recognition through patents, high-impact publications, and conference involvement, his current achievements make him a strong contender for the Best Researcher Award. He has a solid foundation and trajectory to excel further, contributing significantly to his field.

Publication Top Notes

  • “Applications of Deep Machine Learning in Future Energy Systems”
    Authors: S.A. Mousavi
    Journal: Not explicitly listed
  • “Leveraging Common User Clustering for Improved Performance in Cell-Free NOMA Networks”
    Authors: S.A. Mousavi, M. Monemi, R. Mohseni
    Journal: Not explicitly listed
  • “Cell-Free NOMA Networks with Common User Clustering”
    Authors: R.M., S.A. Mousavi, Mehdi Monemi
    Journal: Wireless Networks (Springer)
  • “Empowering Talkative Power Technology in Wireless Power Transfer with Machine Learning”
    Authors: S.A. Mousavi, Z. GhahramanIzadi, M.H. Khooban
    Journal: IET Power Electronics