PRAIRIE VIEW, Texas (November 4, 2025) — From The Hill to The Wall, Blessing Chinemerem Dike’s journey from Prairie View to Berlin reflects more than academic excellence—it symbolizes global impact. As a Ph.D. candidate in electrical engineering with a focus on wireless communications and AI, she represented Prairie View A&M University at the 14th IEEE International Conference on Consumer Electronics (ICCE-Berlin September, 2025), one of the world’s leading stages for emerging technology research.
IEEE ICCE-Berlin 2025
Dike delivered a first-author oral presentation on her research, “Enhancing Cooperative Wideband Spectrum Sensing for 5G and IoT Smart Devices via Adaptive Thresholding and Diversity Combining.” Her work focuses on improving wireless connectivity and efficiency for next-generation communication systems—especially in challenging, low-signal environments.
“The goal is to make wireless access more reliable and efficient,” Dike said. “By combining signals across radios, adjusting thresholds dynamically, and using cooperative decision-making, we can improve how 5G and IoT systems operate in real-world conditions.”
In addition to her presentation, Dike was one of four invited panelists for the Women in STEM session, where she joined international scholars and industry leaders to discuss mentorship, sponsorship, and inclusive conference practices that strengthen the pathway from academia to industry.
“Representing Prairie View A&M University on that stage deepened my commitment to excellence and opened doors to collaborations I look forward to pursuing,” she said.
Her mentor is Cajetan Akujuobi, Ph.D., professor of electrical and computer engineering at PVAMU, who supported her participation through a National Science Foundation Research Grant. Dike conducts her research within the Department of Electrical and Computer Engineering and PVAMU’s Center of Excellence in Communication Systems Technology Research (CECSTR).
Her dissertation, Design and Performance Analysis of Machine Learning-Assisted Energy Detector for Wideband Dynamic Spectrum Access in 5G Networks, explores how machine learning can improve the efficiency and adaptability of wireless communication systems. Her work advances dynamic spectrum access—a key technology for building smarter cities and optimizing the use of limited wireless spectrum resources.
By representing PVAMU with distinction among international researchers, Dike exemplifies that Excellence Lives Here—in the pursuit of knowledge, the power of innovation, and the promise of leadership that begins at Prairie View A&M University.
By Joe McGinty