Ikechi Ukaegbu | Energy Harvesting | Research Excellence Award

Assist. Prof. Dr. Ikechi Ukaegbu | Energy Harvesting | Research Excellence Award

Assistant Professor at University of West Alabama | United States

Assist. Prof. Dr. Ikechi Ukaegbu is an accomplished researcher recognized for impactful contributions to electrical engineering, silicon photonics, optoelectronics, and photonics-based radar systems. His research addresses critical challenges in high-speed optical interconnects, secure wireless communications, autonomous vehicle sensing, and energy-harvesting technologies for IoT applications. Through a strong integration of device design, system modeling, and experimental validation, his work has advanced both fundamental knowledge and practical engineering solutions. His scholarly impact is reflected in a strong Scopus profile with 114 publications, 386 citations, and an h-index of 10, demonstrating sustained research excellence and international recognition.

Citation Metrics (Scopus)

400

200

100

50

0

Citations
386

Documents
114

h-index
10

Featured Publications


Energy 4.0: towards IoT applications in Kazakhstan

B. Satuyeva, C. Sauranbayev, I.A. Ukaegbu, H.K. Nunna – Procedia Computer Science, 2019 (Cited by 38)

Perovskite PV energy harvesting system for uninterrupted IoT device applications

Y. Olzhabay, A. Ng, I.A. Ukaegbu – Energies, 2021 (Cited by 35)

Virtual power plant in Industry 4.0: Strategic planning of emerging VPP in Kazakhstan

M. Kenzhina, I. Kalysh, I. Ukaegbu, S.K. Nunna – ICACT, 2019 (Cited by 24)

The fourth industrial revolution: Towards Energy 4.0 in Kazakhstan

A. Alimkhan, A. Makhambayev, I.A. Ukaegbu – ICACT, 2019 (Cited by 24)

Towards the application of blockchain technology for smart grids in Kazakhstan

D. Orazgaliyev, Y. Lukpanov, I.A. Ukaegbu, H.S.V.S.K. Nunna – ICACT, 2019 (Cited by 22)

Helmi Nasraoui | Energy Consumption | Research Excellence Award

Mr. Helmi Nasraoui | Energy Consumption | Research Excellence Award

Doctoral Researcher at The National Higher Engineering School of Tunis (ENSIT) | Tunisia

Mr. Helmi Nasraoui’s research reflects a strong commitment to advancing intelligent manufacturing through the integration of artificial intelligence, additive manufacturing, and robust design methodologies. His Scopus-indexed journal publication demonstrates effective use of Artificial Neural Networks and Gaussian Process Regression to predict energy consumption in AM-FDM processes, addressing sustainability and process optimization challenges. Complementary conference publications expand this work to rheology variation analysis and HVAC energy modeling, reinforcing the practical relevance of his research. Collectively, these contributions highlight methodological rigor, innovation, and industrial applicability. His Scopus profile records 1 indexed journal publication, multiple conference papers, an emerging citation record, supporting his suitability for the Research Excellence Award.

Professional Profiles

Featured Publications


Use of the RDPP-SF Method to Analyze Rheology Variation in an AM-Cement-Based
M. Amdouni, H. Nasraoui, M. A. Rezgui, A. Trabelsi –
Advances in Additive Manufacturing: Materials, Processes, and Applications, 2025


Applying the ANN and the GPR Models to Predict Energy Consumption for AM-FDM of Isovolumetric Mechanical Components
H. Nasraoui, A. Trabelsi, M. A. Rezgui –
Concurrent Engineering, Article ID: 1063293X251371108, 2025