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

 

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

 

Archana Yadav | Engineering | Excellence in Research Award

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Dr. Archana Yadav | Engineering | Excellence in Research Award

Assistant Professor, Integral University Lucknow, India

Archana Yadav, Ph.D., is an enthusiastic academician with over 12 years of experience in teaching and research. Currently serving as an Assistant Professor at Integral University, Lucknow, since October 2013, she has been dedicated to fostering academic excellence and technological advancement. She plays multiple roles in the department, including Examination Coordinator, Course Designer, and Project Coordinator, showcasing her leadership in academia. Her expertise in Optical Biosensors for healthcare applications and innovative teaching methodologies has contributed to significant developments in non-invasive detection techniques. 🌟📚

Publication Profile

Strengths for the Award:

  1. Research Experience and Focus: Dr. Archana Yadav has extensive experience in the field of optical biosensors, with a focus on healthcare applications. Her work on non-invasive glucose monitoring and the development of sensors using advanced materials like metamaterials and metal nitride layers is particularly innovative and relevant to the award’s criteria for excellence in research.
  2. Publications and Patents: She has authored several high-impact research papers in reputable journals such as IEEE Sensors Journal and IEEE Transactions on NanoBioscience, which demonstrates her contributions to the field. Additionally, Dr. Yadav holds a patent for a wearable health monitoring device, showcasing her ability to translate research into practical applications.
  3. Academic Contributions and Recognition: Dr. Yadav has been a reviewer for multiple high-impact journals and conferences, indicating recognition by her peers in the research community. Her roles as a reviewer and editorial board member further highlight her academic contributions and her engagement with the scientific community.
  4. Teaching and Mentorship: With over 12 years of teaching experience, she has demonstrated a commitment to nurturing the next generation of scientists and engineers. Her involvement in guiding both undergraduate and postgraduate students and creating e-learning materials reflects her dedication to education.
  5. Awards and Honors: Dr. Yadav has been awarded distinctions in her academic career and has been recognized by various academic and professional bodies. These achievements underscore her strong academic background and dedication to her field.

Areas for Improvement:

  1. Diversity of Research Output: While Dr. Yadav has published extensively in her area of expertise, expanding her research to other sub-fields of biosensors or other biomedical applications could further enhance her research profile and demonstrate versatility.
  2. International Collaboration: Engaging in more international collaborations or research projects could provide additional visibility to her work and create opportunities for broader impact.
  3. Grant Acquisition: Although she has published extensively, there is no mention of substantial research funding or grants obtained. Focusing on securing external funding through national or international grants could further strengthen her candidacy.
  4. Industry Collaboration: While Dr. Yadav’s research has clear potential for practical application, more direct collaboration with the industry could be beneficial in terms of advancing technology transfer and real-world application of her research.

Education

Archana Yadav earned her Ph.D. in a specialized field focused on Optical Biosensors, emphasizing the application of optical techniques for healthcare. Her strong academic background has equipped her with the skills and knowledge necessary to lead innovative research projects and inspire future generations of students. 🎓🔬

Experience

Dr. Archana Yadav has over 12 years of experience in teaching and research. She currently serves as an Assistant Professor at Integral University, Lucknow, where she has held various key responsibilities since October 2013. These roles include Departmental Examination Coordinator, NAAC Criteria In-Charge, Course Designer, and Final Year Project Coordinator. She has actively contributed to curriculum development and quality assurance processes in her department. 🏫🧑‍🏫

Research Focus

Dr. Archana Yadav’s research is centered on the modeling and simulation of Optical Biosensors for healthcare applications. Her work focuses on non-invasive detection techniques, particularly for glucose level monitoring and label-free detection of medical disorders. Her research explores cutting-edge technologies like Continuous Glucose Monitoring (CGM) and wearable devices, aiming to enhance healthcare diagnostics through optical methods. 🔍💡

🏅 Awards and Honors

Reviewer Roles: Silicon, Springer Nature; Modern Physics Letters B; Microchemical Journal, Elsevier; Heliyon, Springer Nature; Sensing and Imaging, Springer Nature; IEEE Sensors Journal; Current Nanoscience, Bentham Science Publ Ltd. 🏅📝Actively involved in various departmental and academic services, contributing to the overall growth and quality of the institution. 🌠

Publication

BaTiO3 Boosted Silver-based SPR Sensor for Efficient Urine-glucose Detection in Pre-diabetic and Early Diabetic Stages – Sensors and Actuators A: Physical, 2024. Link to article 📰

Design and Simulation of SPR Sensors by Employing Silicon and Silicon-Nitride With Mono and Bimetal Layers for Sensitivity Enhancement – IEEE Sensors Journal, 2024. Link to article 📰

Bimetal Thin Film, Semiconductors, and 2D Nanomaterials in SPR Biosensors: An Approach to Enhanced Urine Glucose Sensing – IEEE Transactions on NanoBioscience, 2024. Link to article 📰

Improved Surface Plasmon Effect in Ag-based SPR Biosensor with Graphene and WS2: An Approach Towards Low Cost Urine-Glucose Detection – Plasmonics (Springer), 2023. Link to article 📰

Highly Sensitive Bimetallic-Metal Nitride SPR Biosensor for Urine Glucose Detection – IEEE Transactions on NanoBioscience, 2023. Link to article 📰

Conclusion:

Dr. Archana Yadav is a strong candidate for the Research for Excellence in Research Award due to her significant contributions to the field of optical biosensors, her extensive publication record in high-impact journals, and her role in the academic community as a reviewer and educator. While expanding her research scope, seeking international collaborations, and obtaining more funding could enhance her profile further, her current achievements and dedication to both research and teaching make her a worthy contender for the award.

 

Chun Liu | Engineering | Best Researcher Award

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Prof. Chun Liu | Engineering | Best Researcher Award

Professor, Shanghai University, China

🌟 Chun Liu is an accomplished Associate Professor at Shanghai University, China, specializing in control theory, fault diagnosis, and multi-agent systems. With a robust academic foundation and a series of significant research contributions, Chun Liu is recognized for his innovative approaches to fault-tolerant control, cybersecurity, and cooperative control in complex systems. He has earned prestigious awards for his research excellence and has made impactful contributions through numerous publications in international journals.

Publication Profile

Scopus

Strengths for the Award:

  1. Extensive Research Experience and Expertise: Chun Liu is an Associate Professor with significant experience in Control Science and Engineering, specializing in areas such as fault diagnosis, fault-tolerant control, distributed control, and cybersecurity in cyber-physical systems. This expertise aligns well with emerging fields in Artificial Intelligence and Control Systems.
  2. Impressive Research Output: Liu has an extensive list of high-quality publications in prestigious journals, such as IEEE Transactions and the International Journal of Robust and Nonlinear Control. His research focuses on innovative and practical applications, like multi-agent systems, UAVs, and unmanned surface vehicles, which are highly relevant in today’s technological landscape.
  3. Leadership in Research Projects: Liu has been the principal investigator in several notable research projects funded by respected institutions, such as the National Natural Science Foundation of China and the Shanghai Young Talents Sailing Program. This demonstrates his ability to lead complex, high-impact research initiatives.
  4. Recognition and Awards: Liu has received multiple awards and nominations, such as the Outstanding Ph.D. Thesis Award from the Chinese Association of Automation and best paper nominations at international conferences. These accolades highlight his recognition by the scientific community for his contributions to the field.
  5. International Exposure and Collaboration: His experience as a visiting scholar at the University of Hull in the U.K. adds to his international profile and emphasizes his ability to collaborate across borders, which is an important trait for a global researcher.

Areas for Improvement:

  1. Broader Impact and Interdisciplinary Work: While Liu’s work is technically sound and specialized in Control Science and Engineering, expanding the scope of his research to intersect with other fields, such as healthcare, environmental science, or social sciences, could increase its societal impact and relevance.
  2. Greater Emphasis on Application-Oriented Projects: Liu could focus more on application-driven research projects that address pressing global challenges, such as climate change or sustainable development. This would enhance the practical impact of his work beyond academia.
  3. Engagement in Policy and Industry: Increasing involvement in industry partnerships and policy-making can further bridge the gap between academia and real-world application. Collaboration with industries or contributing to policy development in his areas of expertise could amplify his influence.

 

Education

🎓 Chun Liu received his Ph.D. and Master’s degrees in Control Theory and Control Engineering from Nanjing University of Aeronautics and Astronautics, China, from 2013 to 2020. He also holds a Bachelor’s degree in Automation from the same university, completed in 2013. His education laid a strong foundation for his expertise in distributed control, security, and fault-tolerant systems.

Experience

💼 Currently an Associate Professor at Shanghai University since April 2023, Chun Liu has previously served as an Assistant Professor at the same institution from May 2020 to March 2023. He was also a Visiting Scholar at the University of Hull, UK, from October 2017 to October 2018. His diverse experience spans teaching, research, and collaborative international engagements.

Research Focus

🔍 Chun Liu’s research primarily focuses on fault diagnosis and fault-tolerant control, distributed control of multi-agent systems, security control in cyber-physical systems, and cluster cooperation and game confrontation. His innovative work aims to enhance the reliability and security of control systems in complex environments, contributing significantly to advancements in control engineering and automation.

Awards and Honours

🏅 Chun Liu has been recognized for his outstanding contributions, including the Outstanding Ph.D. Thesis Award by the Chinese Association of Automation (2021) and nominations for the Outstanding Youth Paper Award at the Chinese Control and Decision Conference (2024) and the Best Paper Nomination at the International Conference on Robotics, Control, and Automation Engineering (2023).

Publication Top Notes with Hyperlinks

Extended state observer-based fault-tolerant control for an unmanned surface vehicle under asynchronous injection and deception attacks, Complex Engineering Systems, 2024.

Obstacle-avoidance distributed reinforcement learning optimal control for spacecraft cluster flight, IEEE Transactions on Aerospace and Electronic Systems, 2024.

Cooperative advantage actor-critic reinforcement learning for multi-agent pursuit-evasion games on communication graphs, IEEE Transactions on Artificial Intelligence, 2024.

A generalized testing model for interval lifetime analysis based on mixed Wiener accelerated degradation process, IEEE Internet of Things Journal, 2024.

Event-triggered asynchronous distributed MPC for multi-quadrotor systems with communication delays, International Journal of Robust and Nonlinear Control, 2024.

 

Conclusion:

Chun Liu is a strong candidate for the “Best Researcher Award” due to his notable contributions to control science, engineering, and artificial intelligence. His extensive publication record, leadership in major research projects, and recognized excellence by multiple awards position him well for this honor. However, to further strengthen his candidacy, Liu might benefit from expanding the scope of his research to more interdisciplinary and application-oriented work, and increasing engagement with industry and policy-makers.