Chengyu Liang | Renewable Energy | Innovative Research Award

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Innovative Research Award

Chengyu Liang
Lanzhou University of Technology, China
               Chengyu Liang
Affiliation Lanzhou University of Technology
Country China
Scopus ID 57469530600
Documents 3
Citations 22
h-index 2
Subject Area Renewable Energy
Event Technology Scientists Awards

Chengyu Liang is a researcher affiliated with Lanzhou University of Technology whose scholarly work focuses on renewable energy technologies and intelligent condition assessment of engineering systems. The available Scopus profile indicates a growing publication record with measurable citation impact, reflecting sustained academic contributions to reliability analysis, predictive maintenance, and energy-related engineering research.[1]

Abstract

Chengyu Liang has contributed to engineering research involving renewable energy applications, machinery health monitoring, degradation assessment, and intelligent predictive models. Current scholarly records demonstrate emerging influence through peer-reviewed publications indexed in Scopus and measurable citation performance. Research activities emphasize adaptive state-space modelling, prediction error correction, and reliability evaluation for mechanical systems supporting sustainable engineering development. These studies combine mathematical modelling with practical engineering applications to improve equipment performance, operational efficiency, maintenance planning, and long-term system reliability. The available publication record reflects continuing academic development and meaningful contributions within renewable energy and engineering research communities.[1][2]

Keywords

Renewable Energy, Mechanical Systems, Performance Degradation, State-Space Model, Predictive Maintenance, Reliability Engineering, Adaptive Modeling, Engineering Diagnostics.

Introduction

Chengyu Liang conducts engineering research centered on renewable energy and intelligent mechanical system analysis. Published studies investigate advanced degradation assessment methodologies using adaptive mathematical models that improve equipment reliability, operational efficiency, and predictive maintenance while supporting sustainable engineering practices and modern industrial applications.[2]

Research Profile

According to publicly available Scopus records, Chengyu Liang has authored three indexed publications that have received twenty-two citations with an h-index of two. The research portfolio reflects specialization in engineering diagnostics, renewable energy technologies, reliability assessment, and predictive analytical modelling.[1]

Research Contributions

Research contributions include developing adaptive state-space approaches for evaluating mechanical performance degradation using prediction error correction techniques. These methods enhance condition monitoring accuracy, facilitate maintenance decision-making, and improve reliability evaluation across engineering systems supporting renewable energy and industrial sustainability objectives.[2]

Publications

The publication record includes peer-reviewed research focused on degradation assessment methodologies for mechanical systems. A representative article presents a dual adaptive drift coefficient state-space model integrated with autocorrelation prediction error correction, demonstrating practical applications in engineering reliability and intelligent equipment monitoring.[2]

Research Impact

Citation metrics and indexed publications indicate growing academic recognition within engineering research. The integration of predictive modelling with mechanical system assessment contributes valuable knowledge supporting efficient maintenance strategies, equipment longevity, and sustainable industrial operations in renewable energy and manufacturing environments.[1]

Award Suitability

The Innovative Research Award recognizes researchers demonstrating originality, measurable scholarly contributions, and practical engineering significance. Chengyu Liang’s research on adaptive degradation assessment and predictive maintenance aligns with these principles by advancing analytical methodologies applicable to renewable energy and engineering reliability studies.[2]

Conclusion

Chengyu Liang has established an emerging research profile through focused engineering investigations addressing renewable energy, reliability assessment, and intelligent predictive modelling. Available scholarly evidence indicates continuing academic development, making this body of work an appropriate example of innovative engineering research recognized through academic award evaluation.[1]

External Links

References

  1. Elsevier. (n.d.). Scopus author details: Chengyu Liang, Author ID 57469530600. Scopus.
    https://www.scopus.com/pages/authors/57469530600
  2. Liang, C., et al. (2025). Performance degradation assessment of mechanical system based on dual adaptive drift coefficient state-space model with autocorrelation prediction error correction. Mechanical Systems and Signal Processing. Elsevier.
    https://www.sciencedirect.com/science/article/abs/pii/S0888327025015055
  3. Technology Scientists Awards. (n.d.). Technology Scientists Awards official website.
    https://technologyscientists.com/

Efaf Zahra Mahdizadeh Gohari | Sustainable Tech | Women Researcher Award

Published on by Technology Scientists

Women Researcher Award

   Efaf Zahra Mahdizadeh Gohari
Affiliation Queensland University of Technology
Country Australia
Google Scholar ID aKFQBnUAAAAJ
Documents 4
Citations 48
h-index 1
Subject Area Sustainable Tech
Event Technology Scientists Awards
ORCID 0009-0007-3005-499X

Efaf Zahra Mahdizadeh Gohari is affiliated with Queensland University of Technology, Australia, where her research focuses on sustainable technologies, computational fluid dynamics, thermal engineering, and process optimization. Her published work investigates static mixer performance, desalination systems, and multiphase flow modelling, contributing to engineering solutions that improve energy efficiency and sustainable industrial processes.[1]

Abstract

Efaf Zahra Mahdizadeh Gohari conducts engineering research centred on sustainable technology, computational fluid dynamics, fluid mixing, and desalination processes. Her publications investigate innovative static mixer configurations, thermodynamic performance, and numerical simulation techniques that improve industrial efficiency and resource utilization. Through analytical modelling and computational evaluation, her studies contribute practical knowledge for energy-efficient process engineering while supporting environmentally responsible technological development. Her scholarly profile reflects emerging research activity with measurable citation impact and growing recognition within sustainable engineering and thermal systems research.[1][2][3]

Keywords

Sustainable Technology, Computational Fluid Dynamics, CFD, Static Mixers, Fluid Mixing, Multiphase Flow, Desalination, Thermodynamics, Heat Transfer, Numerical Modelling, Engineering Simulation, Process Optimization, Renewable Engineering, Industrial Sustainability, Thermal Systems.

Introduction

The research of Efaf Zahra Mahdizadeh Gohari emphasizes sustainable engineering through computational modelling and process optimization. Her investigations explore advanced mixing technologies, thermal systems, and efficient desalination methods, supporting industrial innovation by combining numerical analysis with engineering design principles for improved operational performance and environmental sustainability.[1][2]

Research Profile

Affiliated with Queensland University of Technology, her academic profile includes four documented publications, forty-eight citations, and an h-index of one. Her work integrates computational fluid dynamics, thermodynamic assessment, and sustainable process engineering to evaluate industrial technologies using quantitative engineering methodologies and scientific validation.[1][3]

Research Contributions

Her research contributes to understanding fluid mixing efficiency, hybrid static mixer development, and humidification–dehumidification desalination systems. Numerical simulations and thermodynamic analyses provide engineering evidence that assists optimization of industrial equipment, promoting enhanced energy utilization, process reliability, and environmentally sustainable engineering applications.[1][2][3]

Publications

Published studies examine numerical modelling of static mixers, comparative analyses of conventional and innovative designs, thermodynamic evaluation of desalination systems, and computational investigation of turbulent flow behaviour. Collectively, these publications demonstrate interdisciplinary expertise spanning fluid mechanics, sustainable technology, and computational engineering research.[1][2][3]

Research Impact

Citation indicators demonstrate increasing scholarly recognition of her engineering research. Her publications support ongoing investigations into sustainable industrial systems by providing computational evidence and analytical methodologies useful for researchers, engineers, and practitioners developing advanced thermal and process engineering technologies.[1][3]

Award Suitability

Her documented research activities, measurable publication record, and contributions to sustainable engineering align with the objectives of the Technology Scientists Awards. The combination of computational innovation, interdisciplinary engineering applications, and commitment to environmentally responsible technologies supports consideration for the Women Researcher Award.[1][2]

Conclusion

Efaf Zahra Mahdizadeh Gohari has developed an emerging academic profile focused on sustainable technology, computational engineering, and process optimization. Her research demonstrates scientific rigor through numerical modelling and engineering analysis, contributing valuable knowledge to fluid dynamics, desalination, and industrial sustainability while supporting future advances in engineering research.[1][2][3]

References

  1. Mahdizadeh Gohari, E. Z., et al. (2024). Numerical Modelling and Comparative Analysis of Novel and Traditional Static Mixers for Single and Multiphase Fluid Mixing. Queensland University of Technology ePrints.
    https://eprints.qut.edu.au/255833/
  2. Mahdizadeh Gohari, E. Z., et al. (2023). Thermodynamic Analysis of Humidification-Dehumidification Desalination System with Semi-open Air Circulation. Modares Mechanical Engineering Journal.
    https://mej.aut.ac.ir/article_730_en.html?lang=fa
  3. Mahdizadeh Gohari, E. Z., et al. (2026). Performance Evaluation of Turbulent Flow Mixing Using Novel Hybrid Static Mixer: A CFD Study. Journal of Engineering Science and Technology.
    https://www.sciencedirect.com/science/article/pii/S0255270126002448?ssrnid=6409368&dgcid=SSRN_redirect_SD
  4. Google Scholar. (n.d.). Author profile: Efaf Zahra Mahdizadeh Gohari.
    https://scholar.google.com/citations?user=aKFQBnUAAAAJ&hl=en
  5. ORCID. (n.d.). ORCID record: Efaf Zahra Mahdizadeh Gohari.
    https://orcid.org/0009-0007-3005-499X

Yucen Yuan | New energy | Research Excellence Award

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Mr. Yucen Yuan | New energy | Research Excellence Award

Lanzhou Jiaotong University | China

Mr. Yucen Yuan is an early-career researcher affiliated with Lanzhou Jiaotong University, China, with a focused research profile in intelligent fault diagnosis and data-driven condition monitoring of renewable energy systems. His work lies at the intersection of machine learning, optimization algorithms, and mechanical fault detection, with particular emphasis on wind turbine bearing health assessment. Yuan has authored 2 peer-reviewed publications, accumulating 1 citation to date and 1 h-index, reflecting emerging scholarly visibility. His 2025 article in Engineering Research Express introduces an improved dung beetle optimizer–enhanced LSTM framework, demonstrating methodological innovation in time-series fault diagnosis. This contribution highlights his expertise in deep learning optimization, signal analysis, and industrial predictive maintenance. Yuan has engaged in collaborative research, contributing as part of a small co-author network, and his work supports the reliability and sustainability of wind energy infrastructure. The societal impact of his research aligns with global clean energy goals by advancing intelligent monitoring technologies that reduce equipment failure, maintenance costs, and operational risks in renewable power systems.

Citation Metrics (Scopus)

2
1.5
1
0.5
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Citations

1

Documents

2

h-index

1

Citations

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h-index


View Scopus Profile View ORCID Profile

Featured Publications

Bellel Nadir | Renewable Energy | Best Researcher Award

Published on by Technology Scientists

Prof. Bellel Nadir | Renewable Energy | Best Researcher Award

Dean | University of Constantine 1 | Algeria

Prof. Bellel Nadir is a multidisciplinary researcher specializing in sustainable materials, thermal–fluid systems, and energy-efficient engineering solutions. With a portfolio of 20 scientific publications, 126 citations and 7 h-index, his work advances bio-based construction materials and solar-driven thermal technologies. Notable contributions include the development of lightweight bio-concretes using agricultural waste and optimized CFD-based designs for solar concentrator systems. His research is strengthened by collaborations with more than 20 international co-authors, reflecting broad academic engagement. Bellel’s work supports global sustainability goals by promoting renewable-energy applications, valorizing biomass residues, and improving eco-friendly construction practices, thereby offering measurable environmental and societal benefits.

Citation Metrics (Scopus)

126
120
90
60
30
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126

Documents

20

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7

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View Scopus Profile

Top 5 Featured Publications

Jack Mathebula | Planning and Operations | Best Researcher Award

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Mr. Jack Mathebula | Planning and Operations | Best Researcher Award

Research Manager, Eskom, South Africa

Jack Mathebula is a veteran energy systems strategist with over two decades of experience in power system planning, operations, and renewable energy integration. Currently serving as Acting Research Manager at Eskom RT&D, Jack leads strategic grid innovation efforts aligned with global sustainability goals. His journey began with technical roles in HVDC plant operations and evolved into thought leadership in transmission planning, capital budgeting, and smart grid transformation. Jack has authored multiple Award papers and peer-reviewed articles focusing on HVDC planning and MCDA methodologies. A recipient of several international Award honors, he has also chaired global forums and mentored young engineers across Africa. He is a registered Professional Technologist (Pr Tech Eng) and a Senior Member of SAIEE, with a growing academic profile. Jack’s work directly supports energy transition efforts in South Africa and beyond, combining academic insight with real-world applications to meet the energy challenges of tomorrow.

📘Author Profile

🎓 Education

Jack Mathebula is currently pursuing a PhD in Electrical Engineering at the University of South Africa (UNISA), building on a Cum Laude MSc from the University of Pretoria (2015). His master’s thesis focused on optimizing HVDC scheme planning. He also holds a BSc Honours in Applied Sciences–Electrical from the University of Pretoria (2004), a B-Tech in Power Engineering from Technikon Pretoria (2001), and a National Diploma in Electrical Engineering from Technikon Witwatersrand (1998). His academic training blends strong theoretical knowledge with practical energy systems expertise. Jack further expanded his leadership acumen through specialized programs, including a Project Management Programme from UNISA’s School of Business Leadership and the Middle Managers Programme (MMP) via Henley Business School in collaboration with Eskom. His education reflects a lifelong dedication to combining engineering excellence with strategic project management in the energy sector.

🛠️ Experience

Jack’s career spans over 25 years at Eskom, where he has held progressively senior roles in grid planning, transmission strategy, and renewable integration. Since April 2024, he serves as Acting Research Manager (Distribution) in Eskom’s RT&D division, leading strategic energy projects and guiding national/international technical initiatives. Between 2008 and 2024, Jack was Middle Manager for Grid Planning and Operation, overseeing research portfolios and contract/resource management. Previously, he contributed to capital planning (2006–2008), network investment (2005–2006), and master planning (2000–2005). His career began in 1999 at the Apollo HVDC Converter Station, where he optimized plant performance. Jack’s career reflects deep technical competency coupled with leadership in digital transformation, grid simulation (RTDS), and policy-relevant research on EV infrastructure and hosting capacity assessments. He continues to mentor emerging engineers and drive forward-thinking energy planning initiatives.

🔬 Research Focus 

Jack Mathebula’s research concentrates on power system planning, HVDC optimization, renewable integration, and electric mobility infrastructure. He is particularly known for applying multi-criteria decision analysis (MCDA) and TOPSIS models in selecting optimal grid expansion strategies. His ongoing PhD explores advanced planning tools for dynamic energy systems under uncertainty, contributing to resilient grid development. His technical projects include hosting capacity assessments, RTDS-based simulation, and distribution-level renewable integration via DSTATCOMs. Jack is also involved in shaping EV-ready grid infrastructure and tariff structures, through cross-border collaborations with institutions like the Danish Technical University. His commitment to applied systems thinking is evident in his work linking technical feasibility, policy formulation, and national energy planning. His research is impactful not only in scholarly terms but also in operationalizing energy transition strategies for utilities and regulators.

📚 Publication Top Notes

Application of TOPSIS in Power Systems: A Review

Authors: J. Mathebula, N. Mbuli
Conference: 2024 International Conference on Electrical, Computer and Energy Engineering
Citations: 2
Summary:
This comprehensive review explores the use of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) in addressing multi-criteria challenges in power systems. The paper synthesizes over a decade of applications, detailing how TOPSIS has been utilized for substation site selection, transmission route optimization, and renewable energy prioritization. It emphasizes the method’s effectiveness in quantifying trade-offs between conflicting objectives like cost, reliability, and environmental impact. The authors also discuss emerging trends such as hybrid TOPSIS models and their role in decision support systems for utilities.

Potential Factors for Multi-Criteria Evaluation of HVDC Compared to HVAC in Power Transmission

Authors: J. Mathebula, N. Mbuli
Conference: 2024 International Conference on Green Energy, Computing and Sustainable Technologies
Citations: 2
Summary:
This paper provides a structured framework for evaluating High Voltage Direct Current (HVDC) and High Voltage Alternating Current (HVAC) systems using multi-criteria analysis. Technical aspects like voltage stability, power losses, and system compatibility are considered alongside economic (CAPEX/OPEX) and environmental parameters. The study offers guidance for policymakers and transmission planners by identifying the most influential factors when choosing transmission technology for large-scale power corridors, particularly in developing countries with expanding renewable capacity.

Approach for Screening and Ranking Potential Receiving End Points in Planning New HVDC Schemes

Authors: J. Mathebula, M.N. Gitau, N. Mbuli, J.H.C. Pretorious
Conference: 2018 IEEE PES/IAS PowerAfrica
Citations: 1
Summary:
This research introduces a structured screening and ranking method to determine optimal receiving terminals for HVDC links. Using a case study in the South African grid, the authors apply decision matrix techniques based on projected load growth, geographic accessibility, system redundancy, and cost. The proposed framework supports utilities in identifying HVDC endpoints that align with long-term energy planning and enhances strategic transmission deployment in emerging economies.

Simplified Negative Load-Based Approach Versus Full HVDC Modeling in Assessing Options for the Cape Network

Authors: J. Mathebula, M.N. Gitau, N. Mbuli
Conference: 2013 13th International Conference on Environment and Electrical Engineering
Citations: 1
Summary:
This study contrasts two methodologies for evaluating HVDC implementation in the Cape region of South Africa: a simplified negative load approach and a full HVDC model. By comparing simulation results and cost-efficiency, the paper discusses the limitations and applicability of each method. The simplified model offers quicker decision support, while the full model yields greater accuracy. The work provides guidance on the trade-offs between modeling complexity and planning effectiveness in early-stage transmission projects.

Application of TOPSIS for MCDA in Power Systems: A Systematic Literature Review

Authors: J. Mathebula, N. Mbuli
Journal: Energies (2025)
Summary:
This peer-reviewed article presents a rigorous literature review of the integration of TOPSIS with multi-criteria decision analysis (MCDA) in power system engineering. Covering applications from renewable site selection to grid reinforcement prioritization, it categorizes studies by criteria sets, modeling tools, and decision contexts. The authors propose a future research agenda emphasizing the integration of real-time data, stakeholder weighting schemes, and AI-enhanced decision-making in power systems. The review positions TOPSIS as a valuable, yet underutilized, tool for navigating the complexity of modern grids.

Potential Factors for HVDC Evaluation in Selection of the Suitable Location Within HVAC System

Authors: J. Mathebula, N. Mbuli
Conference: 2024 ICECCME
Summary:
The paper investigates the suitability of integrating HVDC terminals within existing HVAC networks. Key criteria include system stability impact, proximity to generation/load centers, infrastructure compatibility, and future scalability. The study proposes a location scoring model tailored for hybrid AC-DC systems in grid modernization scenarios. Case illustrations from the South African transmission system reinforce the practical relevance of the proposed methodology, particularly for utilities preparing for high renewable penetration.

Design Options for Thermal Uprate of a Transmission Line: A Case Study in the South African Power System

Authors: J. Mathebula, N. Mbuli, S. Mushabe
Conference: 2024 International Conference on Electrical, Communication and Computer Engineering (ECCCE)
Summary:
This case study explores cost-effective design modifications to increase the thermal capacity of aging transmission lines. Options include conductor replacement, dynamic line rating, and advanced monitoring systems. Using a real-world line segment in South Africa, the paper evaluates each method based on cost, downtime, and long-term benefits. The findings aid transmission operators in choosing appropriate uprate techniques to meet increasing demand without incurring full infrastructure replacement costs.

Conclusion

Jack Mathebula is a highly suitable and deserving candidate for the Best Researcher Award, particularly in the domain of power systems, HVDC planning, and renewable energy integration. His blend of technical depth, leadership, applied research, and mentorship exemplifies the qualities of an impactful researcher driving innovation in the energy sector.