Dr. Oluwole Famoriji | Electrical and Electronics Engineering | Best Researcher Award

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Dr. Oluwole Famoriji | Electrical and Electronics Engineering | Best Researcher Award

Assoc. Prof. at University of Johannesburg, South Africa

Engr. Dr. Oluwole John Famoriji is an accomplished academic and researcher in Electrical and Information Engineering, with specialization in Communication Engineering, Antenna Array Signal Processing, and Artificial Intelligence. He holds a Ph.D. in Electronic Science and Technology from the University of Science and Technology of China, backed by numerous awards, including the prestigious CAS-TWAS President’s Fellowship and the Innovation Spirit Award. With over a decade of teaching and research experience across Nigeria, China, and South Africa, he currently serves as an Associate Professor at Achievers University, Owo. Dr. Famoriji is a recognized reviewer for top-tier journals like IEEE Access and IET Communications and has served as an external examiner at international universities. He is a member of COREN, NSE, and IEEE, and is proficient in simulation tools such as MATLAB and CST. His work reflects a strong blend of academic rigor, global collaboration, and practical application in modern engineering challenges.

Professional Profile 

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Scopus Profile
ORCID Profile

Education

Engr. Dr. Oluwole John Famoriji has a well-rounded and international academic background in Electrical and Electronics Engineering. He earned his Ph.D. in Electronic Science and Technology from the University of Science and Technology of China (USTC) in 2019, under the prestigious CAS-TWAS Presidential Fellowship. Prior to that, he obtained his M.Eng. in Communication Engineering from the Federal University of Technology, Akure in 2014, and his B.Eng. in Electrical/Electronics Engineering from Ladoke Akintola University of Technology in 2009. His early education was completed in Igbajo, Osun State, Nigeria. Throughout his academic journey, he demonstrated consistent excellence, culminating in international recognition during his Ph.D. studies. His education spans both advanced theoretical frameworks and applied technical training, positioning him effectively in fields like signal processing, antennas, and intelligent systems. Dr. Famoriji’s educational path reflects a strong foundation for high-impact research and global academic collaboration.

Professional Experience

Dr. Oluwole John Famoriji brings over 14 years of progressive academic and research experience across Africa and Asia. He is currently an Associate Professor at Achievers University, Owo, Nigeria, where he teaches and supervises projects in Communication Engineering and Signal Processing. Prior roles include a Postdoctoral Fellowship at the University of Johannesburg (2021–2023) and various teaching positions at Afe Babalola University, where he rose from Lecturer II to Senior Lecturer between 2014 and 2021. He also served as a Teaching Assistant at the Federal University of Technology, Akure, and completed his NYSC teaching at Federal Polytechnic, Kaura Namoda. Dr. Famoriji has demonstrated academic leadership and global engagement, serving as an external examiner in both China and South Africa. His career trajectory showcases a blend of teaching excellence, mentorship, and research productivity, making him a respected figure in the engineering education community.

Research Interest

Dr. Famoriji’s research focuses on advanced topics in Communication Engineering, particularly Antenna Array Signal Processing, Applied Electromagnetics, RF Propagation, and Artificial Intelligence. His work integrates theoretical modeling with practical engineering solutions, using tools such as MATLAB, HFSS, CST, and OptiSystem. His interests extend into intelligent systems and soft computing, emphasizing adaptive technologies in wireless communications and biomedical applications. His contributions aim to solve real-world engineering problems, including efficient spectrum use, smart antenna systems, and AI-driven communication protocols. Through interdisciplinary approaches, Dr. Famoriji seeks to enhance connectivity, signal clarity, and system intelligence in modern communication networks. He has actively contributed as a reviewer for renowned journals like IEEE Access, IET Signal Processing, and IEEE Transactions on Antennas and Propagation, reflecting his expertise and peer recognition in the field. His ongoing research supports the advancement of next-generation wireless and intelligent communication systems across academic and industrial applications.

Award and Honor

Dr. Oluwole John Famoriji has received several prestigious awards that highlight his academic excellence and research impact. Most notably, he was awarded the CAS-TWAS Ph.D. President Fellowship by the Chinese Academy of Sciences and The World Academy of Sciences, an internationally competitive recognition for outstanding doctoral scholars. During his Ph.D. at USTC, he also received the Innovation Spirit Award (2016) and Outstanding Research Assistant Award (2017) from the Micro-/Nano Electronic Systems Integration Center. These accolades underscore his creativity, work ethic, and innovation in high-tech research environments. In addition, he is an active member of global engineering bodies such as the IEEE, the Nigerian Society of Engineers (NSE), and the Council for the Regulation of Engineering in Nigeria (COREN). His service on technical committees and student leadership roles further reflect his commitment to academic and professional excellence. These honors position him as a standout researcher in his field.

Conclusion

Dr. Oluwole John Famoriji is a dynamic and accomplished researcher whose career spans high-level academic training, impactful research, and international collaboration. His expertise in Communication Engineering, RF technologies, and intelligent systems has contributed significantly to academic advancement and real-world engineering applications. His trajectory—from a Ph.D. fellow in China to an Associate Professor in Nigeria and a Postdoctoral Fellow in South Africa—illustrates his global outlook and commitment to research excellence. With numerous awards, strong publication review credentials, and leadership roles in academic settings, he exemplifies the qualities of an innovative scholar and mentor. Although more detail on publications and grant leadership would further strengthen his profile, Dr. Famoriji’s blend of experience, technical depth, and academic service makes him a compelling candidate for recognition such as the Best Researcher Award. His work continues to inspire collaboration and advancement in the field of electrical and communication engineering.

Publications Top Notes

  • Title: An intelligent deep learning-based direction-of-arrival estimation scheme using spherical antenna array with unknown mutual coupling
    Authors: OJ Famoriji, OY Ogundepo, X Qi
    Year: 2020
    Citations: 58

  • Title: Radio frequency propagation mechanisms and empirical models for hilly areas
    Authors: FJ Oluwole, OY Olajide
    Year: 2013
    Citations: 54

  • Title: Channel Estimation and Peak‐to‐Average Power Ratio Analysis of Narrowband Internet of Things Uplink Systems
    Authors: MS Ali, Y Li, MKH Jewel, OJ Famoriji, F Lin
    Year: 2018
    Citations: 28

  • Title: Evaluation and modelling of UHF radiowave propagation in a forested environment
    Authors: T Ayekomilogbon Olufemi, O Famoriji John, O Olasoji Yekeen
    Year: 2013
    Citations: 28

  • Title: Electromagnetic machine learning for estimation and mitigation of mutual coupling in strongly coupled arrays
    Authors: OJ Famoriji, T Shongwe
    Year: 2023
    Citations: 27

  • Title: Design of a multiband hexagonal patch antenna for wireless communication systems
    Authors: AO Fadamiro, JD Ntawangaheza, OJ Famoriji, Z Zhang, F Lin
    Year: 2022
    Citations: 24

  • Title: Source Localization of EM Waves in the Near‐Field of Spherical Antenna Array in the Presence of Unknown Mutual Coupling
    Authors: OJ Famoriji, T Shongwe
    Year: 2021
    Citations: 22

  • Title: A test of the relationship between refractivity and radio signal propagation for dry particulates
    Authors: FJ Oluwole, OM Olayinka
    Year: 2013
    Citations: 22

  • Title: Path loss prediction in Tropical regions using machine learning techniques: A case study
    Authors: OJ Famoriji, T Shongwe
    Year: 2022
    Citations: 20

  • Title: Design of H-Tree fractal slots frequency reconfigurable hexagonal patch antenna using PIN diodes
    Authors: AO Fadamiro, OJ Famoriji, RS Zakariyya, Z Zhang, F Lin
    Year: 2019
    Citations: 20

  • Title: Critical review of basic methods on DoA estimation of EM waves impinging a spherical antenna array
    Authors: OJ Famoriji, T Shongwe
    Year: 2022
    Citations: 19

  • Title: Direction-of-arrival estimation of electromagnetic wave impinging on spherical antenna array in the presence of mutual coupling using a multiple signal classification method
    Authors: OJ Famoriji, T Shongwe
    Year: 2021
    Citations: 19

  • Title: A multiple element calibration algorithm for active phased array antenna
    Authors: AO Fadamiro, AAH Semomhe, OJ Famoriji, F Lin
    Year: 2019
    Citations: 19

  • Title: Design of a simple circularly polarised dual‐frequency reconfigurable microstrip patch antenna array for millimetre‐wave applications
    Authors: OJ Famoriji, S Yang, Y Li, W Chen, A Fadamiro, Z Zhang, F Lin
    Year: 2019
    Citations: 18

  • Title: Multi-source DoA estimation of EM waves impinging spherical antenna array with unknown mutual coupling using relative signal pressure based multiple signal classification approach
    Authors: OJ Famoriji, T Shongwe
    Year: 2022
    Citations: 16

Štefan Ondočko | Engineering | Best Researcher Award

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Assist. Prof. Dr. Štefan Ondočko | Engineering | Best Researcher Award

Assistant professors, Technical University of Košice, Slovakia

Profile

Scopus

Ing. Štefan Ondočko, PhD, is an Assistant Professor at the Technical University of Košice, specializing in mechanical engineering with a focus on production systems and robotics. His extensive experience spans both academia and industry, contributing to the advancement of robotic technologies.

Education 🎓

Štefan earned his degree in Mechanical Engineering from the Technical University of Košice (1996–2004), specializing in Instrumentation, Control, and Automation Technology. He later completed his PhD in Mechanical Engineering, focusing on Production Technology, in 2023.

Experience 💼

His professional journey includes roles as an Electrical Designer and I&C Engineer at EnergoControl s.r.o and SMZ Jelšava a.s., along with significant teaching responsibilities at the Technical University of Košice since 2019. Štefan currently focuses on applied research and development in robotic and production technologies.

Research Interests 🔬

Štefan’s research interests lie in the integration of robotics in production systems, particularly in modular robotics and automation technology. He actively engages in grant projects that advance educational tools and methodologies in these fields.

Awards 🏆

In 2023, Štefan received a diploma for the Best Contribution at the 20th International Scientific Conference of Engineering Doctorates of Technical Universities, highlighting his impactful work in mechanical engineering.

Publications Top Notes 📚

  1. Measurement of Maximum Deviation from Roundness Based on the Inverse Kinematics Principle
    Link – 2019, Measurement Science Review, Year 19, Nr. 6.
  2. Inverse Kinematics Data Adaptation to Non-Standard Modular Robotic Arm Consisting of Unique Rotational Modules
    Link – 2021, Applied Sciences, Year 11, Nr. 3.
  3. Comparison of Selected Numerical Methods for the Calculation of Inverse Kinematics of Nonstandard Modular Robotic Arm Consisting of Unique Rotational Modules
    Link – 2021, MM Science Journal, June.
  4. Mapping Robot Singularities Through the Monte Carlo Method
    Link – 2022, Applied Sciences, Year 12, Nr. 16.
  5. Analysis of the Methodology for Experimental Measuring of the Performance Criteria of the Laser-Using Collaborative Robot’s Path Accuracy
    Link – 2024, Applied Sciences, Year 14, Nr. 4.

Fernando Mucomole | Engineer and Physist | Best Researcher Award

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Assist Prof Dr. Fernando Mucomole | Engineer and Physist | Best Researcher Award

University Professor/ PhD Student, Eduardo Mondlane University, Mozambique

Fernando Venâncio Mucomole, a Mozambican researcher born on October 25, 1990, in Maputo, is an expert in solar energy variability. He is currently pursuing a PhD in Energy Science and Technology at Eduardo Mondlane University (UEM) and also works as a University Assistant at the same institution. His contributions to renewable energy, particularly solar energy variability in Mozambique, are well-recognized. His journey reflects a deep commitment to advancing renewable energy solutions, addressing global sustainability, and fostering academic excellence. 🌍🔋

Profile

Orcid

Strengths for the Award:

Fernando Venâncio Mucomole presents a robust academic and research background, making him a strong candidate for the “Best Researcher Award.” His research, particularly in renewable energy with a focus on solar energy variability, demonstrates significant contributions to the global discourse on sustainable energy solutions. With a Master’s in Physics specializing in renewable energies, Fernando has authored several papers, including a notable one on “Temporal Variability of Solar Energy Availability in Mozambique.” His engagement in multiple international conferences and collaborations, such as with SANORD and UEM, also highlights his recognition in the field. Furthermore, his active role in mentoring students and leading solar energy projects such as the Solar Incubator shows his dedication to both research and its practical applications, which directly address sustainable development goals. His linguistic proficiency in multiple languages further strengthens his capacity to collaborate globally and disseminate his findings.

Areas for Improvement:

While Fernando’s academic and research portfolio is highly commendable, expanding the breadth of his research beyond solar energy variability would strengthen his profile for this prestigious award. Exploring interdisciplinary collaborations that involve broader renewable energy systems or combining solar energy with other clean technologies could enhance the impact of his work. Another area of improvement could be an increased focus on publishing in more high-impact international journals, which would help solidify his reputation on a global scale. Additionally, improving his proficiency in writing and communication skills, particularly in languages like Chinese and French, could open doors for more international partnerships and a broader dissemination of his research findings.

Education

Fernando Mucomole’s academic path started with a Degree in Applied Physics from Eduardo Mondlane University (2009–2012), where he focused on solar incubator energy systems. He then pursued a Master’s Degree in Physics with a specialization in Renewable Energies (2014–2021), completing a thesis on the “Temporal Variability of Solar Energy Availability in Maputo City.” Currently, he is enrolled in a PhD program in Energy Science and Technology at UEM, furthering his expertise in solar energy. 🎓☀️

Professional Experience

Fernando has extensive teaching and research experience, working as a University Assistant since 2014. He has taught various physics courses at the Faculty of Sciences, Eduardo Mondlane University. He also participated in renewable energy consulting, monitoring renewable energy systems, and designing solar energy projects for companies such as DEMO – Tecnologia e Serviços and Chalk – German Cooperation. His hands-on involvement in projects addressing solar energy variability in Mozambique demonstrates his dedication to practical and impactful energy solutions. 📚🛠️

Research Interests

Fernando Mucomole is passionate about solar energy research, with a specific focus on the spatiotemporal variability of solar energy in Mozambique. His work also encompasses renewable energy systems, photovoltaic technologies, and their applications in sustainable development. He actively contributes to international conferences and research collaborations, particularly with SANORD and the African Physical Society. His vision aligns with global efforts to enhance energy accessibility and reduce environmental impacts. 🔬🌞🌐

Publications

Fernando Venâncio Mucomole has authored significant research articles, including his 2023 publication titled “Temporal Variability of Solar Energy Availability in the Conditions of the Southern Region of Mozambique” in the African Journal of Energy and Natural Resources. This paper has been indexed with a DOI link: https://doi.org/10.54536/ajenr.v2i1.1311

Conclusion:

Fernando Venâncio Mucomole’s research and practical experience in renewable energy, particularly his work on solar energy variability, make him a competitive candidate for the “Best Researcher Award.” His academic achievements, international engagement, and leadership in sustainable energy projects align well with the award’s goals of recognizing researchers who contribute to solving global challenges. With some diversification of his research topics and further international recognition, Fernando has the potential to make even greater strides in his field.