DEDACUS OHAEGBUCHI | Operational research | Best Researcher Award

Best Researcher Award

Dedacus Nnadozie Ohaegbuchi
Igbinedion University Okada, Nigeria
Dedacus Nnadozie Ohaegbuchi
Affiliation Igbinedion University Okada
Country Nigeria
Google Scholar ID ed7QUT0AAAAJ
Documents 9
Citations 11
h-index 1
Subject Area Operational Research
Event Global CAD Awards
ORCID 0009-0006-3653-9763

Dedacus Nnadozie Ohaegbuchi is an academic researcher affiliated with Igbinedion University Okada, Nigeria. His research contributions encompass operational research, computational optimization, energy-system modelling and engineering applications. His documented scholarly work includes research on hybrid renewable energy systems, economic dispatch optimization, photovoltaic control strategies and electrical infrastructure. These topics demonstrate an interdisciplinary research profile connecting mathematical optimization with practical engineering challenges.

Abstract

DEDACUS OHAEGBUCHI’s research profile reflects an interest in applying computational methods and optimization techniques to engineering and energy-related problems. His documented publications address renewable energy integration, combined heat and power economic dispatch, photovoltaic control systems and electrical fault detection. A notable research direction involves modelling and optimizing hybrid solar photovoltaic, combined heat and power, and biomass energy systems while considering battery energy storage. The application of algorithms such as genetic algorithms, differential evolution and firefly optimization provides a computational foundation for investigating complex engineering systems. His scholarly record comprises nine documents, eleven citations and an h-index of one, according to the supplied research metrics.

Keywords

Operational Research; Energy Optimization; Renewable Energy Systems; Solar Photovoltaic Systems; Economic Dispatch; Genetic Algorithm; Firefly Algorithm; Differential Evolution; Battery Energy Storage; Hybrid Energy Systems; Power System Engineering; Engineering Computation.

Introduction

Operational research uses mathematical modelling, analytical techniques and computational algorithms to support decision-making and improve system performance. Its applications in electrical engineering and sustainable energy include resource allocation, power generation scheduling and optimization of energy conversion systems. Ohaegbuchi’s documented research engages with these challenges through algorithmic approaches and engineering simulations. His work provides examples of how computational techniques can be applied to practical problems involving energy efficiency, system reliability and renewable energy technologies.

Research Profile

The research profile of DEDACUS OHAEGBUCHI is associated with engineering optimization and interdisciplinary computational research. His listed scholarly contributions involve collaborations with researchers working in electrical engineering, renewable energy and control systems. The available publication information indicates engagement with algorithm-based optimization, hybrid energy modelling and applied electrical technologies. His affiliation with Igbinedion University Okada provides the institutional context for his academic activities.

Research Contributions

His documented research contributions can be considered across several interconnected areas:

  • Renewable energy optimization: Investigation of hybrid solar photovoltaic, combined heat and power, and biomass systems incorporating battery energy storage.
  • Computational algorithms: Application of firefly algorithms, genetic algorithms and differential evolution to engineering optimization problems.
  • Power system economics: Research concerning combined heat and power economic dispatch and generation scheduling.
  • Photovoltaic control: Collaborative work on fuzzy supervisory strategies and maximum power point tracking controller stability.
  • Electrical infrastructure: Research involving microcontroller-based underground cable fault detection and location systems.

Publications

The supplied publication record identifies the following research outputs and collaborative studies:

  1. Modeling and Optimization of Hybridized Solar PV–CHP–Biomass Energy System Considering Impact of Battery Energy Storage System Using Firefly Algorithm. Published in Sustainable Energy Research, 30 October 2026.
  2. Solution of Combined Heat and Power Economic Dispatch Problem Using Genetic Algorithm. 2022. DOI: 10.4236/epe.2022.149023.
  3. Hold-State Assisted Fuzzy Supervisory Strategy for Improving Stability in Hybrid Maximum Power Point Tracking Controllers for Standalone Photovoltaic Systems. Collaborative article, IPS Journal of Engineering and Technology, 2(2), 293–313, 2026. Article link.
  4. Automatic Microcontroller-Based Underground Cable Fault Detection and Location System. Collaborative conference research, IEEE Connecting the Unconnected Europe, Middle East, and Africa, 2025. IEEE record.
  5. Simulation and Optimization of a Hybridized Solar PV-CHP-Biomass Energy System Using the Differential Evolution Algorithm. Collaborative conference research, 2025. IEEE record.

Research Impact

The supplied academic metrics indicate nine research documents, eleven citations and an h-index of one. These figures provide a quantitative snapshot of the researcher’s documented scholarly activity. The subject areas represented in the publications address relevant engineering challenges, particularly renewable energy utilization, computational optimization and electrical system reliability. The practical orientation of these studies offers opportunities for further investigation and application in sustainable engineering.

Award Suitability

The Best Researcher Award under the Global CAD Awards recognizes academic contributions, research activity and subject-specific scholarly engagement. Ohaegbuchi’s documented work in operational research and engineering optimization provides relevant material for consideration within this recognition category. His publications demonstrate engagement with computational approaches to energy systems and applied engineering problems. The supplied publication record and research indicators may support an evaluation of his academic contributions in accordance with the award’s assessment criteria.

Conclusion

DEDACUS OHAEGBUCHI represents an emerging research profile in operational research and engineering applications. His documented work spans renewable energy optimization, economic dispatch, photovoltaic control and electrical infrastructure technologies. Through collaborative publications and algorithm-driven investigations, his research addresses problems relevant to sustainable energy development and engineering system performance. The Best Researcher Award provides an opportunity to recognize and evaluate these contributions within the broader academic research community.

11. References

  1. Ohaegbuchi, D. N., et al. (2026). Modeling and Optimization of Hybridized Solar PV–CHP–Biomass Energy System Considering Impact of Battery Energy Storage System Using Firefly Algorithm. Sustainable Energy Research.
    Publication record.
  2. Ohaegbuchi, D. N. (2022). Solution of Combined Heat and Power Economic Dispatch Problem Using Genetic Algorithm. Energy and Power Engineering.
    https://doi.org/10.4236/epe.2022.149023.
  3. Orebanjo, O., Onyegbadue, I. A., Izilein, A. F., Ohaegbuchi, D. N., and Odejimi, L. O. (2026). Hold-State Assisted Fuzzy Supervisory Strategy for Improving Stability in Hybrid Maximum Power Point Tracking Controllers for Standalone Photovoltaic Systems. IPS Journal of Engineering and Technology, 2(2), 293–313.
    Article record.
  4. Dan-Okwara, U. S., Popoola, J. J., Ohaegbuchi, D. N., and Aneke, E. N. (2025). Automatic Microcontroller-Based Underground Cable Fault Detection and Location System. IEEE Connecting the Unconnected Europe, Middle East, and Africa.
    IEEE publication record.
  5. Ohaegbuchi, D. N., et al. (2025). Simulation and Optimization of a Hybridized Solar PV-CHP-Biomass Energy System Using the Differential Evolution Algorithm. IEEE Connecting the Unconnected Europe, Middle East, and Africa.
    IEEE publication record.
  6. ORCID. (n.d.). DEDACUS OHAEGBUCHI: Researcher identifier and academic profile.
    https://orcid.org/0009-0006-3653-9763.
  7. Global CAD Awards. (n.d.). Global CAD Awards: Official website and award information.
    https://globalcadawards.com/.

Takwa Hamdi | Industrial Engineering | Best Researcher Award

Ms. Takwa Hamdi | Industrial Engineering | Best Researcher Award 

PhD Candidate | University of Gabes | Tunisia

Takwa Hamdi is a PhD student in Mechanical Engineering from Gabes, Tunisia, specializing in advanced combustion modeling and alternative fuels. She possesses strong expertise in numerical simulation and computational analysis using tools such as ANSYS Forte, SolidWorks, MATLAB, Abaqus, Autocad, and Mastercam. Her research focuses on the modeling of dual-fuel combustion processes, particularly the interaction of light alcohols and hydrogen in internal combustion engines, contributing to the advancement of low-emission and sustainable energy technologies. She has published research on the computational analysis of methanol energy ratios in dual-fuel engines and demonstrated academic excellence as a top-ranked graduate during her master’s studies. Professionally, she serves as an Adjunct Lecturer at the Higher Institute of Technological Studies of Gabes, where she teaches courses in dismountable assembly processes, computer-aided design, welding, and mechanical design projects, combining theoretical instruction with practical training. Her professional and research experiences reflect a deep interest in clean energy conversion, combustion optimization, and numerical modeling of multiphase flows. Fluent in Arabic, French, and English, Takwa exhibits strong analytical thinking, problem-solving abilities, and a collaborative mindset. She is passionate about innovation, sustainability, and contributing to scientific progress in mechanical and energy engineering.

Profile: Orcid

Featured Publications

Hamdi, T., Hamdi, F., Molima, S., & Chrigui, M. (2025). Eulerian–Lagrangian study of swirled combustion in heavy-duty natural gas/diesel dual-fuel engines under low load condition. Combustion Theory and Modelling.

Hamdi, T., Hamdi, F., Molima, S., Domínguez, V. M., Rodríguez-Fernández, J., Hernández, J. J., & Chrigui, M. (2025). Numerical investigation of hydrogen substitution ratio effects on spray characteristics, combustion behavior, and emissions in a dual-fuel compression ignition engine. Machines, 13(10), 880.

Hamdi, T., Hamdi, F., Molima, S., Hernández, J. J., & Chrigui, M. (2025). Computational analysis on the effect of methanol energy ratio on the spray and combustion pattern of a dual-fuel compression ignition engine. Journal of Energy Resources Technology, Part A: Sustainable and Renewable Energy.

Molima, S., Hamdi, F., Hamdi, T., Muya, G. T., Mondo, K., Amsini, S., & Chrigui, M. (2025). Effects of H₂ substitution on combustion and emissions in ammonia/diesel compression ignition engine. Energy Conversion and Management, 119858.

Matheus van Rens| Operational research| Best Researcher Award

Mr. Matheus van Rens| Operational research| Best Researcher Award

Researcher, PhD student,  Radboudumc, Netherlands

🔬 Short Biography 🌿💊📚

Mr. Matheus van Rens is a dedicated researcher and Ph.D. student specializing in Operational Research at Radboud University Medical Center (Radboudumc), Netherlands. His work focuses on applying advanced mathematical and computational models to optimize healthcare systems, improve decision-making processes, and enhance patient outcomes. With a strong foundation in quantitative analysis and system optimization, Matheus contributes to innovative solutions at the intersection of health and operations research. His academic journey is marked by a passion for impactful, data-driven research aimed at real-world applications in the medical field.

Profile

Orcid

Google Scholar

🎓 Education

Matheus (Roland) van Rens holds a Master of Advanced Nursing Practice (MaANP) from Erasmus University, Netherlands, completed in 2005. He is currently pursuing a PhD at Radboud University Medical Center, focusing on neonatal infusion safety, including advanced CAD applications in the development of medical devices. His academic path reflects a deep commitment to combining clinical excellence with engineering innovation to improve outcomes in neonatal care.

💼 Professional Experience

With over 30 years of clinical and academic experience, Roland is a seasoned neonatal nurse practitioner and expert researcher. He has led multicenter clinical trials evaluating innovative catheter securement methods, such as glue-based technologies, and played a pivotal role in developing the Rely-V platform—an advanced flow-monitoring sensor for neonatal IV infusions. His work has made him a respected voice in neonatal vascular access, and he actively contributes as a board member of the Neonatal European Vascular Access Team (NEVAT).

🔬 Research Focus

Roland’s research concentrates on enhancing infusion safety and delivery systems in neonatology. His main domains include infusion flow monitoring, catheter securement evaluation, sensor integration into clinical workflows, and simulation-based system modelling. He is particularly focused on applying real-time sensor technologies to reduce infusion-related complications in premature and critically ill infants.

🏆 Awards & Achievements

Roland is the author of the book “Neonatal Vascular Access and Neurodevelopmental Care”, published by Springer in 2025. He has been an invited speaker at key international platforms, including WoCoVA, ESPR, GaVAPed, and SIGNEC. His innovative work in neonatal infusion technology has earned him recognition across Europe and contributed significantly to advancing patient safety in neonatal units.

🛠️ Skills

  • Neonatal vascular access techniques

  • Infusion safety and sensor technologies

  • Medical device prototyping using CAD

  • Clinical simulation and system design

  • Multicenter clinical trial coordination

  • Scientific writing and academic publishing

  • Public speaking and knowledge translation

  • Short versus long peripheral intravenous catheters in neonates: a retrospective cohort study
    Year: 2025
    Authors: Matheus F. P. T. van Rens, Kevin Hugill, Robin van der Lee, Fiammetta Piersigilli, Airene L. V. Francia, Fredericus H. J. van Loon, Mohammad A. A. Bayoumi
    DOI: 10.1038/s41598-025-00301-1

 

  • Clotted blood samples in the neonatal intensive care unit: A retrospective, observational study to evaluate interventions to reduce blood sample clotting
    Year: 2024
    Authors: Matheus F. P. T. van Rens, Kevin Hugill, Airene L. V. Francia, Abraham Victor Macaraig, Fredericus H. J. van Loon, Timothy R. Spencer, Mohammad A. A. Bayoumi
    DOI: 10.1111/nicc.12941

 

  • A normal day in the life of a neonatal nurse practitioner: experience report
    Year: 2023
    Authors: Matheus van Rens, George Damhuis
    DOI: 10.31508/1676-3793202300022

 

  • O cotidiano de um enfermeiro neonatologista de prática avançada: relato de experiência
    Year: 2023
    Authors: Matheus van Rens, George Damhuis
    DOI: 10.31508/1676-379320230002

 

  • Outcomes of establishing a neonatal peripheral vascular access team
    Year: 2023
    Authors: Matheus van Rens, Kevin Hugill, Mohammed Abdul Khader Gaffari, Airene V Francia, Thiruveni Ramkumar, Krisha L P Garcia, Fredericus H J van Loon
    DOI: 10.1136/archdischild-2021-322764

 

 

🏁conclusion:

Dr. Zhao Song is an excellent candidate for the Best Researcher Award. His proven ability to develop cutting-edge, commercial-ready solutions, along with original research that pushes the frontiers of 3D computer vision and graphics, strongly justifies his nomination. Recognizing him with this award would encourage continued innovation at the intersection of vision, AI, and human digitalization.