William Gardner | Engineering | Best Researcher Award

Prof. William Gardner | Engineering | Best Researcher Award 

University of California, Davis | United States

Dr. William A. Gardner is an esteemed scholar and pioneer in statistical signal processing, particularly renowned for his foundational contributions to cyclostationary signal processing theory and methods. His postsecondary education began with a Certificate in Aircraft Radio Repair (1961) at Keesler Air Force Base, followed by coursework in electronics and electrical engineering at Foothill College and Stanford University, where he earned his M.S. in Electrical Engineering (1967). He pursued further graduate studies at MIT and Bell Labs, and earned his Ph.D. in Electrical Engineering from the University of Massachusetts Amherst (1972). Dr. Gardner joined the University of California, Davis in 1972, where he advanced to Professor VII before becoming Professor Emeritus in 2001. Over his career, he supervised numerous M.S. and Ph.D. theses focused on statistical signal processing, especially the exploitation of cyclostationarity in communications and signals intelligence. In 1986, Dr. Gardner founded Statistical Signal Processing, Inc. (SSPI), a private research firm dedicated to advanced algorithm development for radio reconnaissance, signals intelligence, and cellular communications. The firm, which operated for 25 years, licensed its technologies to major corporations including Apple Inc. and Lockheed Martin. Post-retirement, he continued research collaborations—most notably with Prof. Antonio Napolitano—on advanced statistical cyclicity and nonstationary signal behavior. His recent work has expanded into electromagnetic modeling of cosmic plasma and laboratory-confined plasma, supporting paradigm-challenging efforts such as the Plasma Universe, Thunderbolts Project, and the SAFIRE Project, all aimed at redefining astrophysical theory and clean energy generation. Dr. Gardner is the author of four influential books, including Introduction to Random Processes and Statistical Spectral Analysis, and editor of Cyclostationarity in Communications and Signal Processing. He has contributed chapters to five other books, authored or co-authored over 110 peer-reviewed journal papers, and holds 15 U.S. patents. His academic impact is reflected in a citation count exceeding 7489, an h-index of 33, and continued recognition for shaping the theoretical underpinnings of modern signal processing. He has delivered invited lectures globally and remains a thought leader across academia, industry, and emerging scientific paradigms.

Profiles:  Scopus | Orcid | Google Scholar

Featured Publications

Gardner, W. A. (2002). Exploitation of spectral redundancy in cyclostationary signals. IEEE Signal Processing Magazine, 8(2), 14–36.

Gardner, W. A. (1990). Introduction to random processes: With applications to signals and systems. McGraw-Hill.

Gardner, W. A., Napolitano, A., & Paura, L. (2006). Cyclostationarity: Half a century of research. Signal Processing, 86(4), 639–697.

Gardner, W. A., & Robinson, E. A. (1989). Statistical spectral analysis—A nonprobabilistic theory. Prentice-Hall.

Gardner, W. A. (1994). Cyclostationarity in communications and signal processing. IEEE Press.

Gardner, W. A. (2002). Signal interception: A unifying theoretical framework for feature detection. IEEE Transactions on Communications, 36(8), 897–906.

Gardner, W. A., Brown, W., & Chen, C. K. (1987). Spectral correlation of modulated signals: Part II—Digital modulation. IEEE Transactions on Communications, 35(6), 595–601.

Gardner, W. A., & Franks, L. E. (1975). Characterization of cyclostationary random signal processes. IEEE Transactions on Information Theory, 21(1), 4–14.

Gardner, W. A., & Spooner, C. M. (1992). Signal interception: Performance advantages of cyclic-feature detectors. IEEE Transactions on Communications, 40(1), 149–159.

NICKO MAGNAYE | Energy | Outstanding Scientist Award | 13511

Prof. NICKO MAGNAYE | Energy | Outstanding Scientist Award 

Prof. NICKO MAGNAYE, Mindoro State University, Philippines

Prof. Nicko A. Magnaye, MSIT, is an Assistant Professor at the College of Computer Studies, Mindoro State University, Philippines. With a Master’s in Information Technology from Rizal Technological University and doctoral studies at the Technological Institute of the Philippines, his research focuses on applying IT to agriculture, education, energy, and local industries. He has authored 17 research publications and led projects on AI-driven fruit grading, pest detection, e-commerce for farmers, and ICT tools for rural development, showcasing his dedication to socially impactful and technology-driven innovation.

Author Profile

Google Scholar

🎓 Early Academic Pursuits

Prof. Nicko A. Magnaye’s journey into the world of information technology began with a solid foundation in the Philippines’ education system. He earned his Bachelor’s degree in Information Technology from Mindoro State University, where he developed a strong interest in the practical applications of computing technologies in real-world environments. Driven by a passion to deepen his knowledge, he pursued a Master of Science in Information Technology at Rizal Technological University between 2015 and 2019. During his postgraduate studies, Prof. Magnaye focused on the intersection of software systems and their utility in solving community-based challenges.

Currently, he is advancing his academic credentials by undertaking Doctor of Information Technology studies at the Technological Institute of the Philippines, further cementing his expertise in IT and its applications across diverse sectors.

💼 Professional Endeavors

As an Assistant Professor at the College of Computer Studies at Mindoro State University, Prof. Magnaye plays a vital role in shaping the next generation of IT professionals. His teaching extends beyond theoretical concepts, emphasizing practical skills in computer programming, artificial intelligence (AI), mobile development, cybersecurity, and cloud computing. His instructional style combines innovation and social relevance, encouraging students to explore how technology can be used to solve local and global problems.

In parallel with his academic responsibilities, Prof. Magnaye actively contributes to institutional digital transformation and research capacity-building, often collaborating with other academic and industry stakeholders. His role is not limited to the classroom — he serves as a mentor, research adviser, and technology advocate within and beyond the university.

🧪 Contributions and Research Focus

With 17 research publications to his name, Prof. Magnaye’s work is marked by a deep commitment to technological solutions for grassroots issues. His research spans several interdisciplinary domains, with core themes including:

  • AI-powered agriculture: Developing intelligent systems such as fruit grading tools and disease detection applications for banana farming.

  • ICT in farming and rural development: Creating e-commerce platforms for furniture makers and rice farmers, and introducing monitoring tools for poultry and electricity usage.

  • Digital inclusion and social good: Building systems that support senior citizens and enhancing cybersecurity awareness in public sectors.

His efforts are firmly anchored in community-responsive innovation, often involving collaboration with local farmers, small businesses, and institutions seeking digital empowerment.

🏅 Accolades and Recognition

While specific national or international awards have not been listed publicly, Prof. Magnaye’s work has earned him widespread recognition within academic and local innovation circles. His successful research projects, many of which are deployed or tested in real-life settings, speak volumes about his effectiveness and value as a community-centered technologist.

Moreover, his initiatives have gained visibility in conferences, university exhibitions, and collaborative events, where they are praised for addressing real-world challenges through scalable digital solutions.

🌱 Impact and Influence

Prof. Magnaye’s influence reaches far beyond the academic arena. His research and systems development projects have had measurable impact in:

  • Local agricultural communities by optimizing crop quality and yield through AI.

  • Small and medium enterprises (SMEs) by streamlining their operations using custom-built platforms.

  • Public service through IT awareness and digital security education in government institutions.

  • Education by incorporating cutting-edge technologies into the curriculum and providing students with hands-on, impactful projects.

His commitment to technological empowerment for underserved communities continues to inspire other researchers, educators, and local leaders who seek inclusive digital transformation.

🧭 Legacy and Future Contributions

Looking ahead, Prof. Magnaye is poised to leave a lasting legacy as a champion of socially relevant digital innovation in the Philippines. His ongoing doctoral studies will further sharpen his research acumen, equipping him to tackle more complex problems through interdisciplinary strategies. He is also expected to contribute to policy development, academic leadership, and broader national ICT frameworks that support agriculture, education, and sustainability.

In the years to come, his focus may expand to include smart technologies, data analytics, and IoT for environmental monitoring, resource management, and enhanced public service delivery.

His long-term vision reflects a commitment to bridging the digital divide, enabling rural and low-resource settings to benefit from the same technological advancements seen in urban centers. Prof. Magnaye is not just building systems — he is shaping a future where technology is accessible, equitable, and transformative for all.

✍️ Publication Top Notes


📘 Artificial intelligence (AI) on learning process

Author: SK Sopera, JS Alaban, Z Briones, NA Magnaye
Journal: Integrative Research
Year: 2023

📘 A case study of Windows 11 operating system for inexperienced users
Author: NA Magnaye
Journal: Intelligent Control and System Engineering
Year: 2023

📘E-Trading Application for Rice Farmers Using Waterfall Model Development: Basis for ICT Adoption by Filipino Farmers

Author: NA Magnaye
Journal: ISAR Journal of Economics and Business Management
Year: 2023