Yongho Lee | Engineering | Best Researcher Award

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Dr. Yongho Lee | Engineering | Best Researcher Award

Researcher at Kwangwoon University, South Korea

Yongho Lee, born on November 15, 1991, is an accomplished researcher and engineer specializing in RF communication, antenna design, and semiconductor technologies. With a strong foundation in electrical engineering, he has contributed significantly to cutting-edge research in areas such as CMOS RF transmitters, phased arrays, and wireless communication systems. Currently, he is a postdoctoral researcher at UCLA, California, after having completed a similar position at Kwangwoon University, Seoul, Korea. Throughout his academic and professional journey, Yongho has demonstrated exceptional skills in advanced tools like Virtuoso, SpectreRF, and Matlab, as well as expertise in programming languages such as C++, Python, and C#. His work is recognized for its innovative approach to solving complex problems, particularly in the realm of high-frequency communications and antenna systems. As a mentor and lecturer, he has also demonstrated a passion for teaching and guiding the next generation of engineers in microelectronics. With a drive for both academic excellence and practical technological advancements, Yongho continues to make valuable contributions to his field, gaining international recognition for his achievements.

Professional Profile

Education

Yongho Lee’s academic journey began with a Bachelor of Science degree from Daejin University in Pocheon, Korea, where he laid the groundwork for his future studies in electrical engineering. Afterward, he pursued a Master of Science degree at Kwangwoon University, Seoul, Korea, where his focus shifted toward advanced research in RF and semiconductor technologies. This foundation prepared him for his doctoral studies at the same institution, where he earned a Ph.D. in 2023. Throughout his academic career, Yongho has gained in-depth knowledge of complex topics such as phased-array antennas, RF IC design, and wireless communication systems. His educational path has been marked by a strong emphasis on both theoretical principles and practical applications. He further honed his skills during his time as a postdoctoral researcher, applying his knowledge to real-world projects at renowned institutions like UCLA and Kwangwoon University. With a solid academic foundation and a drive for innovation, Yongho continues to excel in his field, pushing the boundaries of current research in RF technologies.

Professional Experience

Yongho Lee has had a distinguished professional career with extensive experience in both academia and industry. His most recent position as a postdoctoral researcher at UCLA, California, allowed him to delve into advanced projects in RF communication and semiconductor technologies. Prior to this, he served as a postdoctoral researcher at Kwangwoon University, Seoul, Korea, where he contributed significantly to multiple high-profile projects, including the development of RF transmitters, antennas, and phase shifters. Additionally, Yongho gained practical industry experience during an internship at Kings Information & Network Co., Ltd. in Hanam, Korea, where he was involved in various technology development projects. His work experience spans both theoretical research and the practical application of cutting-edge technologies, providing him with a well-rounded skill set. Throughout his career, he has demonstrated a keen ability to bridge the gap between academic research and real-world technological solutions, making him a highly valued contributor to his field.

Research Interests

Yongho Lee’s primary research interests lie in the fields of RF communication, antenna design, and semiconductor technologies, with a focus on high-frequency applications such as 60GHz and 220GHz wireless systems. His research has significantly contributed to the development of advanced CMOS RF transmitters, phased-array antennas, and frequency synthesizers, with an emphasis on low power consumption, miniaturization, and improved performance. He has also worked extensively on the development of novel calibration techniques for RF systems and the integration of advanced antennas for mobile communication and satellite receiver applications. Another key area of his research is the design of high-performance, low-cost RF components for next-generation wireless devices, including Bluetooth and IoT technologies. Yongho’s work not only advances theoretical knowledge but also aims to address practical challenges in wireless communication, including signal integrity, power efficiency, and system integration. His diverse research portfolio reflects a strong commitment to pushing the boundaries of current technology and solving real-world problems in communication systems.

Awards and Honors

Throughout his career, Yongho Lee has earned several accolades in recognition of his exceptional contributions to research and engineering. His achievements in the development of advanced RF communication systems and antenna designs have earned him recognition both within academic circles and in the industry. In particular, his work on the 220GHz 16nm CMOS phased array and his innovations in the development of low-profile phased-array antennas for satellite receivers have garnered significant attention. Although specific awards and honors are not listed in his profile, his involvement in highly funded and impactful research projects speaks to the level of recognition he has received within the scientific community. His research contributions continue to influence the development of next-generation wireless communication systems, further solidifying his standing as a leading researcher in his field. Moving forward, his continued work and potential future awards will undoubtedly add to his growing reputation as a prominent figure in RF and semiconductor research.

Conclusion

Yongho Lee is highly qualified for the β€œBest Researcher Award,” with his strong academic credentials, advanced technical expertise, and significant contributions to research and teaching. To further enhance his candidacy, a more detailed track record of published research and a stronger public presence in the research community could solidify his standing as an influential researcher.

Publications Top Noted

  • Article

    • Title: A 28 GHz GaN 6-Bit Phase Shifter MMIC with Continuous Tuning Calibration Technique
    • Authors: S. Seo, J. Lee, Y. Lee, H. Shin
    • Journal: Sensors (Switzerland), 2024
    • Citations: 0 citations

  • Conference Paper

    • Title: A 28 GHz 5-Bit Phase Shifter MMIC with 5.4Β° RMS Phase Error in GaN HEMT Process
    • Authors: S. Seo, J. Lee, Y. Lee, H. Shin
    • Citations: 1 citation
    • Source Information: Not available

 

Masoud Deyranlou | Engineering | Best Researcher Award

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Mr. Masoud Deyranlou | Engineering | Best Researcher Award

Optical Network Engineer at Islamic Azad University, Iran

Masoud Deyranlou is an experienced Optical Network Engineer and researcher with over a decade of expertise in optical transmission systems and telecommunications infrastructure. His work spans high-level and low-level design of large-scale networks, specializing in advanced optical technologies like DWDM, ROADM, ASON, and SDN. Throughout his career, he has played a pivotal role in major telecommunication projects, contributing to the innovation and optimization of optical networking solutions. His research primarily focuses on the integration of optical transmission with emerging technologies, bridging the gap between theoretical advancements and practical implementations. With a strong background in both industry and academia, he has contributed to scientific literature and technological advancements in optical communications. His dedication to the field is evident through his numerous publications and technical contributions, making him a key figure in the development of modern optical networking solutions.

Professional Profile

ORCID Profile

Education

Masoud Deyranlou holds a Master of Science in Electrical Engineering – Telecommunications from Islamic Azad University (2007-2010), where he gained expertise in satellite communications, fiber optics, and coding theory. Prior to that, he earned his Bachelor of Science in Electrical Engineering from the same institution, developing a strong foundation in electromagnetics and optical transmission networks. His academic journey began with an Associate Degree in Industrial Electricity from Technical and Vocational University, where he built fundamental technical skills in electrical systems and automation. Throughout his education, he demonstrated exceptional academic performance, excelling in key subjects such as Satellite Communication (19.5/20), Coding Theory (18.5/20), and Electromagnetics (18/20). His education provided him with the theoretical knowledge and practical expertise necessary for his career in telecommunications, allowing him to integrate cutting-edge research with real-world optical network applications.

Professional Experience

Masoud Deyranlou has accumulated over 10 years of professional experience in the field of optical network engineering, working on large-scale telecommunication infrastructure projects. He currently serves as an Optical Network Design Engineer, where he is responsible for High-Level Design (HLD) and Low-Level Design (LLD) of complex optical transmission networks. His expertise spans across various cutting-edge technologies, including T-SDN, DWDM, ROADM, ASON, and WSON, enabling efficient and high-capacity data transmission. Throughout his career, he has actively contributed to the deployment of metro and long-haul optical networks, ensuring optimized performance and reliability. His ability to integrate research-driven solutions with practical applications has made him a valuable asset in the industry. His deep understanding of software-defined networking (SDN) and embedded systems further enhances his ability to develop next-generation optical communication networks, positioning him as a key expert in the field.

Research Interest

Masoud Deyranlou’s research focuses on advanced optical transmission networks, with a particular interest in Radio over Fiber (RoF), Free Space Optics (FSO), and Software-Defined Networks (SDN). His work explores the development of high-speed, low-latency optical communication systems, including novel approaches for adaptive coherent free-space optical communication in urban environments. He is also deeply involved in researching submarine fiber networks, aiming to enhance global telecommunication infrastructure through innovative optical networking solutions. His publications in renowned journals reflect his expertise in dual-polarization 10Gbps RoF systems, wavelength reuse technologies, and next-generation optical transmission mechanisms. By integrating theoretical advancements with practical implementations, he contributes to the continuous evolution of telecommunications technology. His research aligns with the growing need for more efficient, scalable, and resilient optical network architectures, driving innovation in global communications.

Awards and Honors

Masoud Deyranlou has been recognized for his outstanding contributions to the field of optical communications, earning accolades for his research and professional achievements. His work has been published in esteemed journals such as the Journal of Modern Optics and the AUT Journal of Electrical Engineering, showcasing his innovative research in optical transmission systems. Additionally, his high academic performance, particularly his perfect GRE Quantitative Score (170/170), highlights his strong analytical and problem-solving skills. His participation in major telecommunication infrastructure projects has also been acknowledged within the industry, cementing his reputation as a leading expert in optical networking. While he continues to build on his research portfolio, his contributions to advancing adaptive optical communication technologies and high-speed data transmission networks have earned him recognition as a top researcher in his field.

Conclusion

Masoud Deyranlou is a highly qualified candidate for the Best Researcher Award based on his strong technical expertise, research output, and industry experience. However, to further enhance his eligibility, he should focus on publishing in high-impact journals, engaging in international collaborations, securing research grants, and pursuing patents or innovations. If the award criteria emphasize a balance between academic excellence and industry impact, he is a strong contender.

Publications Top Noted

  • Adaptive coherent free space optics system for urban deployment: a case study in Tehran

    • Author(s): Masoud Deyranlou, Alireza Maleki Javan
    • Year: 2025
    • Journal: Journal of Modern Optics
    • DOI: 10.1080/09500340.2025.2459887
    • Citation: Deyranlou, M., & Maleki Javan, A. (2025). Adaptive coherent free space optics system for urban deployment: a case study in Tehran. Journal of Modern Optics, 1–12.
    • ISSN: 0950-0340, 1362-3044

  • A Full-Duplex, Dual-Polarization 10Gbps Radio over Fiber system with wavelength reuse for upstream signal

    • Author(s): Masoud Deyranlou, Alireza Maleki Javan
    • Year: 2020
    • Journal: AUT Journal of Electrical Engineering
    • DOI: 10.22060/eej.2020.16603.5292
    • Citation: Deyranlou, M., & Maleki Javan, A. (2020). A Full-Duplex, Dual-Polarization 10Gbps Radio over Fiber system with wavelength reuse for upstream signal. AUT Journal of Electrical Engineering, 52(1), 9–18.

 

Chung-Horng Lung | Engineering | Best Researcher Award

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Chung-Horng Lung | Engineering | Best Researcher Award

Full Professor at Carleton University, Canada

Dr. Chung-Horng Lung is a distinguished professor in the Department of Systems and Computer Engineering at Carleton University, Ottawa. With a career spanning over three decades in academia and industry, he has made significant contributions to software engineering, network security, and artificial intelligence. Recognized as one of the world’s top 2% most-cited researchers (Stanford-Elsevier, 2022 & 2023), his work has influenced various domains, including machine learning-based security systems, intelligent data processing, and network optimization. Prior to joining Carleton University, he held senior engineering positions at Nortel Networks, where he worked on software architecture, network traffic engineering, and MPLS-based communication technologies. His extensive research, mentorship, and interdisciplinary collaborations have earned him a reputation as a leading scholar in his field. Alongside his academic contributions, Dr. Lung is also a Professional Engineer (P.Eng.) in Ontario, further validating his expertise and impact in the engineering community.

Professional Profile

Education

Dr. Lung holds a Ph.D. in Computer Science and Engineering from Arizona State University, Tempe, earned in 1994. His journey in academia began with a Master’s degree in Computer Science and Engineering from the same institution in 1988, following a Bachelor’s degree in Computer Science and Engineering from Chung-Yuan Christian University, Taiwan, in 1982. His academic background provided him with a strong foundation in software engineering, network security, and intelligent computing. During his doctoral studies, he worked extensively on distributed systems and software engineering methodologies, laying the groundwork for his future research. His educational trajectory showcases a commitment to innovation and excellence, equipping him with the expertise needed to bridge academia and industry. Through continuous learning and research advancements, Dr. Lung has remained at the forefront of emerging technologies in computing and engineering.

Professional Experience

Dr. Lung has a rich professional background in both academia and industry. He is currently a Professor at Carleton University, where he has been a faculty member since 2001. Before becoming a full professor in 2015, he served as an Associate Professor in the same department. His industry experience includes senior roles at Nortel Networks, where he worked as a Senior Software Designer and Network Engineer on Optical Packet Interworking and MPLS-based Traffic Engineering. He was also a Senior Software Architecture Engineer at Nortel’s Software Engineering Analysis Lab (SEAL), contributing to critical advancements in software engineering and network technologies. Additionally, he has worked as an Instructor and Research Assistant at Arizona State University and a Software Engineer at Electronics Research & Service Organization in Taiwan. His diverse career path reflects his versatility and expertise in both theoretical and applied computing disciplines.

Research Interests

Dr. Lung’s research focuses on machine learning, cybersecurity, software engineering, and network optimization. His work in machine learning-based intrusion detection systems (IDS) has led to the development of AI-driven security solutions for SCADA and power systems. Additionally, his research on knowledge graphs and unstructured data processing has contributed to advancements in data-driven decision-making. His expertise extends to network traffic analysis, software reliability engineering, and intelligent data sampling, with applications in forest fire detection, industrial automation, and smart city infrastructures. His interdisciplinary approach has fostered collaborations with academic institutions, industry partners, and government agencies, ensuring that his research has real-world impact. By integrating AI, cybersecurity, and software engineering principles, Dr. Lung continues to explore innovative solutions to modern technological challenges.

Awards and Honors

Dr. Lung has received numerous accolades throughout his career, with his most notable recognition being listed among the world’s top 2% most-cited scholars (Stanford-Elsevier, 2022 & 2023). This honor reflects the global impact of his research and his contributions to computer science and engineering. Additionally, he is a registered Professional Engineer (P.Eng.) in Ontario, demonstrating his adherence to the highest professional standards in engineering. Over the years, he has received multiple best paper awards, research grants, and industry recognitions for his work in machine learning, cybersecurity, and network optimization. His mentorship of students and early-career researchers has also been acknowledged through teaching excellence awards and faculty recognitions. With a distinguished academic and professional career, Dr. Lung continues to push the boundaries of innovation in computing and engineering, solidifying his position as a leading researcher in the field.

Conclusion

Dr. Chung-Horng Lung is a highly qualified and impactful researcher, making significant contributions in Computer Science, Machine Learning, and Network Engineering. His strong publication record, industry experience, and citation impact make him a strong contender for the Best Researcher Award. Addressing minor gaps in funding details, patents, and international collaborations could further strengthen his case.

Publications Top Noted

πŸ“– Journal Articles

1️⃣ In-Network Caching for ICN-Based IoT (ICN-IoT): A Comprehensive Survey πŸ†

  • Author(s): Zhang, Z., Lung, C.-H., Wei, X., Chatterjee, S., Zhang, Z.
  • Year: 2023
  • Citations: 41 πŸ”₯
  • Published in: IEEE Internet of Things Journal

2️⃣ iCache: An Intelligent Caching Scheme for Dynamic Network Environments in ICN-Based IoT Networks 🧠

  • Author(s): Zhang, Z., Wei, X., Lung, C.-H., Zhao, Y.
  • Year: 2023
  • Citations: 17 πŸ“ˆ
  • Published in: IEEE Internet of Things Journal

3️⃣ Knowledge Graph Generation and Application for Unstructured Data Using Data Processing Pipeline πŸ€–

  • Author(s): Sukumar, S.T., Lung, C.-H., Zaman, M., Panday, R.
  • Year: 2024
  • Citations: 0 (New Publication) πŸš€
  • Published in: IEEE Access

🎀 Conference Papers

4️⃣ A Federated Learning Framework Based on Spatio-Temporal Agnostic Subsampling (STAS) for Forest Fire Prediction πŸ”₯

  • Author(s): Mutakabbir, A., Lung, C.-H., Ajila, S.A., Sampalli, S., Ravichandran, T.
  • Year: 2024
  • Citations: 0 (New Publication) πŸš€
  • Published in: IEEE COMPSAC 2024

5️⃣ Comparative Analysis of Real-Time Data Processing Architectures: Kafka versus MQTT Broker in IoT πŸ“‘

  • Author(s): Ho, C.L.D., Lung, C.-H., Mao, Z.
  • Year: 2024
  • Citations: 0 (New Publication) πŸš€
  • Published in: IEEE ICEIB 2024

6️⃣ DDoS Flood Detection and Mitigation using SDN and Network Ingress Filtering – an Experiment Report πŸ›‘οΈ

  • Author(s): Marleau, S., Rahman, P., Lung, C.-H.
  • Year: 2024
  • Citations: 0 (New Publication) πŸš€
  • Published in: IEEE ICEIB 2024

7️⃣ Big Data Synthesis and Class Imbalance Rectification for Enhanced Forest Fire Classification Modeling πŸ”₯πŸ“Š

  • Author(s): Tavakoli, F., Naik, K., Zaman, M., Lung, C.-H., Ravichandran, T.
  • Year: 2024
  • Citations: 0 (New Publication) πŸš€
  • Published in: International Conference on Agents and Artificial Intelligence

8️⃣ Forest Fire Prediction Using Multi-Source Deep Learning 🌲πŸ”₯

  • Author(s): Mutakabbir, A., Lung, C.-H., Ajila, S.A., Purcell, R., Sampalli, S.
  • Year: 2024
  • Citations: 0 (New Publication) πŸš€
  • Published in: LNICST Conference Proceedings

9️⃣ A Data Integration Framework with Multi-Source Big Data for Enhanced Forest Fire Prediction 🌍πŸ”₯

  • Author(s): Kaur, P., Naik, K., Purcell, R., Zaman, M., Mutakabbir, A.
  • Year: 2023
  • Citations: 1 πŸ“Š
  • Published in: IEEE Big Data 2023

πŸ”Ÿ Unstructured Transportation Safety Board Findings Categorization Using the Knowledge Graph Pipeline πŸš—πŸ“Š

  • Author(s): Panday, R., Lung, C.-H.
  • Year: 2023
  • Citations: 1 πŸ†
  • Published in: IEEE Big Data 2023