Oladele Afolalu | Engineering | Best Researcher Award

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Dr. Oladele Afolalu | Engineering | Best Researcher Award

Postdoctoral Fellow at Durban University of Technology, South Africa

Dr. Oladele Felix Afolalu is a distinguished researcher and academic in the field of Electrical and Telecommunications Engineering. Born on August 29, 1976, in Nigeria, he has made significant contributions to the advancement of ICT, telecommunications, and enterprise networking. With a strong passion for innovation, he has worked extensively in academia, research, and industry collaborations to improve modern communication systems. Currently a Postdoctoral Fellow at the Durban University of Technology, South Africa, Dr. Afolalu has played a crucial role in developing cutting-edge solutions in 5G networks, interference coordination, and network optimization. His leadership in academic institutions, numerous publications, and participation in international conferences reflect his dedication to research excellence. As a member of several prestigious engineering societies, including IEEE (USA & South Africa), COREN, and MNSE, he continues to impact the engineering community through mentorship, teaching, and groundbreaking studies in the field of telecommunications and ICT.

Professional Profile

Education

Dr. Afolalu’s academic journey is marked by a strong foundation in electrical and electronic engineering, with degrees from top institutions in Nigeria and South Africa. He earned his Ph.D. in Electrical and Telecommunication Engineering from the University of Cape Town, South Africa, where he specialized in 5G network optimization and inter-cell interference coordination. Prior to that, he completed an M.Sc. in Electronic/Electrical Engineering from Obafemi Awolowo University, Nigeria, where his research focused on communication systems and signal processing. His undergraduate studies culminated in a B.Eng. (Hons.) in Electrical/Electronics Engineering from the Federal University of Technology, Akure. Additionally, he holds a National Diploma in Electrical/Electronics Engineering from Federal Polytechnic, Ado-Ekiti. His diverse academic background has provided him with expertise in ICT systems, telecommunications, and engineering education, equipping him to contribute significantly to cutting-edge research and technology advancements.

Professional Experience

Dr. Afolalu has amassed over two decades of experience in teaching, research, and academic administration. He served as Head of the Department and Principal Lecturer at Federal Polytechnic, Ede, Nigeria, where he played a key role in curriculum development, student mentorship, and research supervision. He also worked as an Adjunct Senior Lecturer and Acting Head of Department at Joseph Ayo Babalola University, where he was instrumental in advancing research initiatives in physics electronics. His postdoctoral research at Durban University of Technology, South Africa, involves cutting-edge projects in enterprise networking and ICT systems. Additionally, he has served as a tutor at the University of Cape Town, helping students enhance their understanding of telecommunication systems. Throughout his career, he has been actively involved in examination committees, research committees, and industrial training programs, contributing significantly to the development of engineering education in Nigeria and beyond.

Research Interests

Dr. Afolalu’s research is centered on wireless communication networks, telecommunications engineering, and ICT innovations. His primary focus is on 5G and beyond technologies, network optimization, and inter-cell interference coordination. His Ph.D. research on Ultra-Dense Networks (UDNs) has contributed to improving network efficiency and power allocation in next-generation communication systems. He has also explored the application of artificial intelligence in network performance enhancement, particularly in resource allocation and signal processing. Additionally, his research extends to renewable energy integration in communication networks, aiming for sustainable and efficient power management in ICT infrastructure. His contributions to machine learning applications in network traffic optimization and security have been recognized in top-tier journals. Through his extensive research, he aims to bridge the gap between theoretical telecommunications advancements and practical industry implementations, ensuring that emerging technologies are efficiently deployed for societal benefit.

Awards and Honors

Dr. Afolalu has been recognized for his outstanding contributions to research, engineering education, and technological innovation. He has received accolades for his work on 5G networks, including best paper awards at international conferences such as the Southern Africa Telecommunication Networks and Applications Conference (SATNAC). His research on carrier aggregation-enabled NOMA techniques for enhanced 5G network performance has gained global recognition. He has also been honored for his mentorship and academic leadership, particularly in the development of engineering curricula and innovative teaching methodologies. His membership in prestigious engineering societies such as IEEE, COREN, and MNSE further highlights his excellence in the field. Additionally, he has participated as a panelist and keynote speaker at workshops and conferences, where his expertise in wireless communication and ICT infrastructure has been widely acknowledged. His commitment to research and education continues to inspire future engineers and researchers globally.

Conclusion

Dr. Oladele Felix Afolalu has a strong research portfolio, significant academic experience, and notable contributions to ICT and 5G telecommunications. His leadership roles, professional memberships, and conference engagements make him a worthy candidate for the Best Researcher Award. Strengthening high-impact publications, industry collaborations, and international research engagements will further solidify his standing in the global research community.

Publications Top Notes

  1. Carrier Aggregation‐Enabled Non‐Orthogonal Multiple Access Approach Towards Enhanced Network Performance in 5G Ultra‐Dense Networks

    • Author(s): O Afolalu, N Ventura

    • Year: 2021

    • Citations: 10

  2. A Survey of Interference Challenges and Mitigation Techniques in 5G Heterogeneous Cellular Networks

    • Author(s): OF Afolalu, JO Petinrin, MA Ayoade

    • Year: 2016

    • Citations: 4

  3. Internet of Things and Software Applications in Patient Safety Adverse Event Detection and Reporting: A Comprehensive Literature Review

    • Author(s): OO Afolalu, SA Afolalu, OF Afolalu, OA Akpor

    • Year: 2024

    • Citations: 2

  4. Inter-Cell Interference Coordination in 5G Ultra-Dense Networks

    • Author(s): OF Afolalu

    • Year: 2021

    • Citations: 2

  5. Internet of Things Applications in Health Systems’ Equipment: Challenges and Trends in the Fourth Industrial Revolution

    • Author(s): OO Afolalu, OA Akpor, SA Afolalu, OF Afolalu

    • Year: 2024

    • Citations: 1

  6. Application of Particle Swarm Optimization Method to Economic Dispatch of Nigerian Power System Considering Valve-Point Loading Effect

    • Author(s): GA Adepoju, MA Tijani, MO Okelola, MA Ayoade, OF Afolalu

    • Year: 2021

    • Citations: 1

  7. Enterprise Networking Optimization: A Review of Challenges, Solutions, and Technological Interventions

    • Author(s): O Afolalu, MS Tsoeu

    • Year: 2025

    • Citations: Not available yet

  8. A Novel Security Solution for Efficient Connectivity in Software-Defined Wide Area Network (SD-WAN)

    • Author(s): O Afolalu, MS Tsoeu

    • Year: 2025

    • Citations: Not available yet

  9. Sickle Cell Disease Epidemiology and Management in Africa: Current Trends and Future Directions in Digital Health Technologies

    • Author(s): AO Olajumoke, O Akpor, AS Afolalu, OF Afolalu, HB Oyewole, AO Oke

    • Year: 2024

    • Citations: Not available yet

  10. Analysis of Spectrum Occupancy of Active FM Band within Federal Polytechnic Ede Northern Campus

  • Author(s): AK Adebayo, JO Agbolade, IA Bamikefa, OF Afolalu, MA Ayoade

  • Year: 2021

  • Citations: Not available

  1. Development of Induction Motor Monitoring System with Protection Against Abnormal Voltage, Current, and Temperature

  • Author(s): MA Ayoade, IA Bamikefa, MA Tijani, OF Afolalu, AK Adebayo

  • Year: 2018

  • Citations: Not available

  1. Effects of Angles of Inclinations on the Performances of Photovoltaic (PV) Arrays

  • Author(s): MA Ayoade, OF Afolalu, IA Bamikefa, MA Tijani, MA Sanusi

  • Year: 2017

  • Citations: Not available

  1. Development of a Wireless Induction Motor Unbalanced Voltage Detection and Control System for Hazardous Environments

  • Author(s): MA Ayoade, OF Afolalu, IA Bamikefa, AK Adebayo, MA Sanusi

  • Year: 2017

  • Citations: Not available

 

Kaili Wang | Engineering | Best Researcher Award

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Ms. Kaili Wang | Engineering | Best Researcher Award

Student at NB U, China

MS Kaili Wang is a distinguished researcher in the field of gene editing and molecular diagnostics, specializing in nucleic acid detection for agricultural biotechnology. She is affiliated with Ningbo University, School of Food Science and Engineering, China, and collaborates with Zhejiang Academy of Agricultural Sciences and the State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products. With a keen interest in genetic modification detection, her research focuses on improving the precision and sensitivity of detection methods for gene-edited organisms. Her recent work on droplet digital PCR (ddPCR) for MSTN gene-edited cattle has contributed significantly to the field of regulatory science and food safety. Dedicated to advancing biotechnology applications, she plays a crucial role in shaping methodologies for genetic monitoring, ensuring consumer safety, and fostering global discussions on gene editing and its implications.

Professional Profile

Education

MS Kaili Wang pursued her higher education in biotechnology, molecular biology, and food science, which provided a strong foundation for her research career. She earned her degrees from prestigious Chinese institutions, including Ningbo University, where she specialized in food science and genetic detection methods. Her academic training emphasized molecular diagnostics, genetic engineering, and PCR-based technologies, equipping her with the expertise necessary to develop innovative detection methods for genetically modified organisms (GMOs). Throughout her education, she engaged in interdisciplinary research, gaining hands-on experience in genetic modification analysis, nucleic acid quantification, and regulatory science. Her studies were complemented by rigorous laboratory work and collaborations with leading scientists in the field. This educational background has enabled her to contribute significantly to the advancement of gene-editing detection technologies, ensuring accuracy, sensitivity, and reliability in molecular diagnostics.

Professional Experience

With extensive experience in genetic research and molecular diagnostics, MS Kaili Wang has worked as a researcher at Ningbo University and in collaboration with Zhejiang Academy of Agricultural Sciences. She has been instrumental in developing innovative nucleic acid detection methods for gene-edited organisms, particularly using droplet digital PCR (ddPCR). Her work focuses on the safety assessment, traceability, and detection of genetically modified products, making a significant impact in the field of food safety and agricultural biotechnology. She has contributed to multiple high-impact research projects, collaborating with government agencies, regulatory bodies, and scientific institutions to establish robust methodologies for genetic monitoring. Her professional expertise extends to training young researchers, publishing peer-reviewed articles, and presenting her findings at international conferences related to gene editing and food safety. Her work plays a critical role in ensuring the accurate detection and regulation of gene-edited agricultural products.

Research Interests

MS Kaili Wang’s primary research interests lie in gene editing, nucleic acid detection, food safety, and molecular diagnostics. She is particularly focused on developing and optimizing PCR-based techniques, including ddPCR, qPCR, and CRISPR-based detection methods. Her research aims to enhance the specificity, sensitivity, and reliability of gene-editing detection, ensuring consumer safety and regulatory compliance. She is also deeply interested in the traceability of genetically modified organisms (GMOs) and their impact on food production, security, and public health. Through her work, she seeks to bridge the gap between scientific advancements and regulatory frameworks, contributing to the development of robust detection technologies that can be applied on a global scale. By integrating biotechnology with food safety regulations, she aims to provide innovative solutions for ensuring transparency in agricultural biotechnology and fostering public trust in gene-edited products.

Awards and Honors

Throughout her career, MS Kaili Wang has received numerous recognitions for her contributions to gene editing detection and food safety research. She has been honored with awards from academic institutions, regulatory bodies, and biotechnology organizations for her innovative work in nucleic acid quantification and molecular diagnostics. Her research on ddPCR-based detection of MSTN gene-edited cattle has gained international recognition, positioning her as a leading scientist in genetic monitoring and food safety regulation. She has been invited as a keynote speaker at scientific conferences, sharing her expertise on gene editing detection methodologies. Additionally, she has received grants and funding from government agencies to further her research in gene-editing detection and its application in regulatory science. Her dedication and contributions to biotechnology and food safety continue to make a profound impact, earning her a reputation as a pioneering researcher in the field.

Conclusion

MS Kaili Wang’s research is highly innovative and impactful, making significant contributions to gene editing detection and food safety monitoring. The work demonstrates scientific excellence, regulatory relevance, and technical robustness, making them a strong candidate for the Best Researcher Award. However, further research could focus on expanding the scope of detection beyond MSTN, increasing sample size, and facilitating regulatory adoption to enhance the real-world impact.

Publications Top Noted

Author: Kaili Wang, Yi Ji, Cheng Peng, Xiaofu Wang, Lei Yang, Hangzhen Lan, Junfeng Xu, Xiaoyun Chen
Year: 2025
Citation: Wang, K.; Ji, Y.; Peng, C.; Wang, X.; Yang, L.; Lan, H.; Xu, J.; Chen, X. (2025). “A Novel Quantification Method for Gene-Edited Animal Detection Based on ddPCR.” Biology, 14(2), Article 0203. DOI: 10.3390/biology14020203.
Source: Multidisciplinary Digital Publishing Institute (MDPI)

 

Mahmoud Mossa | Engineering | Best Researcher Award

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Assoc Prof Dr. Mahmoud Mossa | Engineering | Best Researcher Award

Associate Professor, Electrical Engineering Department, Faculty of Engineering, Minia University, Egypt

Dr. Mahmoud Mohamed, also known as Mahmoud A. Mossa, is a distinguished Associate Professor in the Department of Electrical Engineering at Minia University in Egypt, with significant research contributions across Egypt and Italy. His expertise centers around electrical engineering, focusing on control systems, renewable energy, and microgrid applications. With a strong international academic and research background, Dr. Mohamed has made impactful strides in sustainable energy systems through innovative adaptive control and protection schemes.

Publication Profile

Google Scholar

Education 🎓

Ph.D. in Industrial Engineering – Università degli Studi di Padova, Italy (2014–2017). M.Sc. in Electrical Engineering – Minia University, Egypt (2010–2013). B.Sc. in Electrical Engineering – Minia University, Egypt (2003–2008)

Experience 💼

Associate Professor – Minia University, Egypt (2023–Present), Assistant Professor – Minia University, Egypt (2018–Present), Postdoctoral Researcher – Università degli Studi di Padova, Italy (2021–2022), Research Fellow (Borsisti) – Università degli Studi di Padova, Italy (2017–2018),Doctoral Researcher – Università degli Studi di Padova, Italy (2014–2017)

Research Interests 🔍

Dr. Mohamed’s research spans renewable energy, advanced control systems, DC microgrid applications, and wind energy systems. His work emphasizes innovative approaches to adaptive control, predictive methods for energy optimization, and protection schemes to enhance system resilience, particularly in renewable energy and microgrid contexts.

Awards 🏆

Dr. Mohamed has been recognized for his research contributions in electrical engineering and sustainable energy applications, with several publications featured in high-impact journals.

Selected Publications 📚

Adaptive Control Approach for Accurate Current Sharing and Voltage Regulation in DC Microgrid Applications
Energies, 2024. DOI: 10.3390/en17020284

Application and Comparison of a Modified Protection Scheme Utilizing a Proportional–Integral Controller with a Conventional Design to Enhance Doubly Fed Induction Generator Wind Farm Operations during a Balanced Voltage Dip
Processes, 2023. DOI: 10.3390/pr11102834

Enhancing the Performance of a Renewable Energy System Using a Novel Predictive Control Method
Electronics, 2023. DOI: 10.3390/electronics12163408

Enhancement of LVRT Ability of DFIG Wind Turbine by an Improved Protection Scheme with a Modified Advanced Nonlinear Control Loop
Processes, 2023. DOI: 10.3390/pr11051417