Mostafa Belal | Green Technology | Innovative Research Award

Published on by Technology Scientists

Innovative Research Award

Mostafa Belal — Sohag University, Egypt

Mostafa Belal
Affiliation Sohag University
Country Egypt
Scopus ID 57994645800
Documents 4
Citations 95
h-index 3
Subject Area Green Technology
Event Technology Scientists Awards
ORCID 0009-0007-4235-2273

Mostafa Belal is affiliated with Sohag University, Egypt, with research activity in green technology and materials protection. His documented publications address corrosion-resistant polybenzoxazine coatings, surface activation of wood-plastic composites, and protective formulations for mild steel. These works connect materials engineering with durability and environmental considerations in applied research applications. [1][2][3]

Abstract

Mostafa Belal, affiliated with Sohag University in Egypt, conducts research within green technology with emphasis on protective materials and surface engineering. His documented studies examine polybenzoxazine coating precursors, corrosion-resistant formulations, wood-plastic composite surface activation, epoxy adhesion, and protective performance for mild steel. The research combines material synthesis, characterization, surface modification, and corrosion mitigation. These themes indicate an applied approach to developing functional coating systems and improving material durability. The publication record provides a basis for recognizing contributions to materials protection and sustainable engineering applications. This profile summarizes documented themes, publications, impact, and suitability for innovative recognition. [1][2][3] This profile is presented here.

Keywords

Green technology; polybenzoxazine; corrosion protection; protective coatings; surface engineering; wood-plastic composites; epoxy adhesion; mild steel; corrosion inhibition; polymeric materials; material characterization; surface modification; functional coatings; sustainable materials; materials protection. [1][2][3]

Introduction

Mostafa Belal is affiliated with Sohag University, Egypt, with research activity in green technology and materials protection. His documented publications address corrosion-resistant polybenzoxazine coatings, surface activation of wood-plastic composites, and protective formulations for mild steel. These works connect materials engineering with durability and environmental considerations in applied research applications. [1][2][3]

Research Profile

Belal’s research profile centers on materials and surface engineering within green technology. His publications indicate emphasis on polymeric coating systems, adhesion enhancement, corrosion inhibition, and protective performance. Collectively, these topics reflect an applied research approach focused on improving material durability through engineered surface treatments and functional precursor design research overall. [1][2][3]

Research Contributions

The reported contributions involve developing polybenzoxazine-based materials for corrosion protection, designing coating precursors with enhanced performance, and activating wood-plastic composite surfaces to improve epoxy adhesion. The studies also examine protective efficiency toward mild steel, connecting material synthesis, surface modification, coating performance, and corrosion mitigation in applied materials research settings today. [1][2][3]

Publications

Belal’s publications address aspects of material protection research. One study reports a novel polybenzoxazine coating precursor designed through monomer engineering for anti-corrosion performance. Another investigates surface activation of wood-plastic composites for improved epoxy adhesion, while a third examines synthesis, characterization, and protective efficiency of a polybenzoxazine precursor for mild steel. [1][2][3]

Research Impact

The research has clear practical relevance to durable coating systems, corrosion management, and improved adhesion of protective layers on engineered materials. By addressing material protection and surface functionality, the studies contribute knowledge applicable to extending service life and improving coating performance. Their significance is demonstrated through documented research topics overall. [1][2][3]

Award Suitability

The documented research aligns with an Innovative Research Award focused on materials and green technology because it combines material synthesis, surface modification, characterization, and corrosion protection. The publications demonstrate a coherent research direction and practical orientation. Award consideration can be based on originality, technical scope, and relevance of the work. [1][2][3]

Conclusion

Mostafa Belal’s documented work presents a focused research direction in green technology, particularly protective coatings, surface treatment, adhesion, and corrosion inhibition. The cited studies provide evidence of investigation into functional materials and their applications. Together, they establish a research profile connecting material innovation with practical challenges in durability and protection. [1][2][3]

References

  1. Aly, K. I., Amer, A. A., Mahross, M. H., Belal, M. R., Soliman, A. M. M., & Mohamed, M. G. (2023). Construction of novel polybenzoxazine coating precursor exhibiting excellent anti-corrosion performance through monomer design. Heliyon, 9(5), e15976.
    https://doi.org/10.1016/j.heliyon.2023.e15976
  2. Belal, M. R., Naguib, H. M., El-Ghazawy, R. A., Shaker, N. O., Amer, A. A., Soliman, A. M. M., & Kandil, U. F. (2019). Surface activation of wood plastic composites (WPC) for enhanced adhesion with epoxy coating. Materials Performance and Characterization, 8(1), 22–40.
    https://doi.org/10.1520/MPC20180034
  3. Soliman, A. M. M., Aly, K. I., Mohamed, M. G., Amer, A. A., Belal, M. R., & others. (2023). Synthesis, characterization and protective efficiency of novel polybenzoxazine precursor as an anticorrosive coating for mild steel. Scientific Reports, 13, 5581.
    https://doi.org/10.1038/s41598-023-30364-x
  4. Elsevier. (n.d.). Scopus author details: Mostafa Belal, Author ID 57994645800. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57994645800

Sunil Kumar Khare | Green Technology | Outstanding Scientist Award

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Outstanding Scientist Award

Sunil Kumar Khare
University of Petroleum and Energy Studies, India

Sunil Kumar Khare
Affiliation University of Petroleum and Energy Studies
Country India
Scopus ID 26324209600
Documents 18
Citations 214
h-index 7
Subject Area Green Technology
Event Technology Scientists Awards
ORCID 0000-0001-5041-3012

Sunil Kumar Khare is a researcher affiliated with the University of Petroleum and Energy Studies in India whose scholarly profile encompasses green technology and data-driven engineering research. His documented work includes applications of analytics, regression modelling, pipeline network optimization, and geochemical interpretation, demonstrating an interdisciplinary orientation toward technology-enabled scientific problem solving. [1] [2] [3]

Abstract

Sunil Kumar Khare is a researcher at the University of Petroleum and Energy Studies, India, working within the broad domain of Green Technology. His scholarly record includes research involving data analytics, regression modelling, engineering optimization, and geochemical analysis. His publications demonstrate applications of computational methods to energy and geological problems, including geothermal drilling, pipeline configuration, and igneous-province characterization. These studies illustrate an interdisciplinary research profile connecting analytical techniques with practical engineering and environmental contexts. His documented scholarly output and citation record provide evidence of sustained research engagement and academic visibility. [1] [2] [3]

Keywords

Green Technology; Data Analytics; Regression Modelling; Geothermal Wells; Drilling Engineering; Pipeline Network Optimization; Sensitivity Analysis; Geochemistry; Petrogenetics; Igneous Provinces; Energy Technology; Engineering Analytics.

Introduction

Green Technology increasingly depends on analytical methods capable of improving resource efficiency, engineering decisions, and environmental understanding. Khare’s research reflects this interdisciplinary direction through studies applying data analytics to geothermal drilling, optimization to pipeline networks, and analytical methods to geological characterization, connecting computational approaches with energy and Earth-science applications. [1] [2] [3]

Research Profile

Khare’s research profile combines engineering analytics, optimization, and geoscientific investigation. His documented publications address prediction of drilling performance, multi-product pipeline configuration, and data-supported interpretation of geochemical and petrogenetic characteristics. Together, these themes indicate a research orientation toward quantitative methods that support complex energy, infrastructure, and geological systems across applied scientific contexts. [1] [2] [3]

Research Contributions

The documented research contributes analytical perspectives to energy and geological engineering problems. Regression modelling is applied to geothermal drilling-rate prediction, optimization frameworks examine pipeline configuration and objective-function sensitivity, while data analytics supports geochemical and petrogenetic interpretation. These contributions demonstrate the practical use of quantitative approaches for complex, multidisciplinary technological investigations. [1] [2] [3]

Publications

Khare’s documented publications cover three complementary areas: predictive analytics for geothermal drilling, optimization of multi-product pipeline networks, and data analytics for geochemical and petrogenetic investigation. These works illustrate the application of quantitative and computational techniques to engineering and Earth-science questions, with relevance to energy systems and technology-oriented research. [1] [2] [3]

Research Impact

The research demonstrates potential practical relevance across geothermal energy, pipeline infrastructure, and geological interpretation. Predictive modelling can support drilling analysis, optimization can inform network configuration decisions, and geochemical analytics can strengthen interpretation of complex geological datasets. The combined portfolio reflects technology-oriented research addressing diverse analytical challenges within energy-related domains. [1] [2] [3]

Award Suitability

Khare’s documented research aligns with the broad objectives of scientific recognition in technology-oriented disciplines. His work combines analytical modelling, engineering optimization, and geoscientific data analysis, while addressing energy and infrastructure applications. The breadth of these themes provides a reasonable basis for consideration under an Outstanding Scientist Award focused on applied technological research. [1] [2] [3]

Conclusion

Sunil Kumar Khare presents a multidisciplinary research profile spanning green technology, energy engineering, optimization, predictive analytics, and geoscience. His documented publications demonstrate the application of quantitative approaches to practical scientific problems. The combination of engineering and Earth-science research provides a substantive foundation for consideration for technology-focused scientific recognition. [1] [2] [3]

References

  1. Khare, S. K., et al. (2025). Data analytics and regression modelling for drilling rate of penetration prediction of geothermal wells. In Advances in Energy and Environmental Engineering. Springer.
    https://doi.org/10.1007/978-981-96-3667-9_11
  2. Khare, S. K., et al. (2024). Optimizing multi-product pipeline network configuration design: A comprehensive framework with objective function sensitivity analysis. Scopus. Publication record: 85184306294.
    https://www.scopus.com/pages/publications/85184306294
  3. Khare, S. K., et al. (2024). Data analytics for geochemical and petrogenetic study of an igneous province: A case study on Andean andesite, South America. Journal of Earth System Science.
    https://doi.org/10.1007/s12040-024-02399-9
  4. Elsevier. (n.d.). Scopus author details: Sunil Kumar Khare, Author ID 26324209600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=26324209600
  5. ORCID. (n.d.). Sunil Kumar Khare: ORCID record. ORCID.
    https://orcid.org/0000-0001-5041-3012

Wentao Shang | Green Technology | Best Researcher Award

Published on by Technology Scientists

Best Researcher Award

Wentao Shang
Affiliation Jinan University
Country China
Scopus ID 57604364900
Documents 34
Citations 812
h-index 15
Subject Area Green Technology
Event Technology Scientists Awards
ORCID 0000-0002-5168-7696

Wentao Shang is affiliated with Jinan University, China, and works across membrane science, separation technologies, computational prediction, imaging, and advanced materials. His recent scholarly record includes research on membrane distillation, nanofiltration fouling prediction, and supramolecular materials, providing a multidisciplinary basis for consideration within the field of green technology. [1] [2] [3]

Abstract

Wentao Shang is a researcher at Jinan University whose documented work connects membrane science, green technology, computational modeling, imaging, and advanced materials. His recent publications examine surface patterning for membrane distillation, multimodal convolutional neural networks for dynamic nanofiltration fouling prediction, and solution-sheared supramolecular oligomers with improved thermal-resistant adhesion. These studies demonstrate an interdisciplinary approach combining materials engineering, separation processes, experimental characterization, and data-driven analysis. With 34 documented publications, 812 citations, and an h-index of 15, his profile indicates sustained scholarly activity and measurable research visibility. The breadth and environmental relevance of these themes support consideration for a Best Researcher Award.

Keywords

Keywords: Green Technology, Membrane Distillation, Nanofiltration, Membrane Fouling, Optical Coherence Tomography, Convolutional Neural Networks, Surface Patterning, Advanced Materials, Supramolecular Oligomers, Sustainable Engineering.

Introduction

Wentao Shang’s research profile at Jinan University reflects an interdisciplinary focus connecting membrane processes, nanofiltration, imaging-based analysis, advanced materials, and sustainable engineering. His recent publications address membrane distillation, fouling prediction, and thermally resistant supramolecular materials, indicating a research trajectory relevant to emerging green technology and resource-efficient engineering. [1] [2] [3]

Research Profile

Shang is associated with research spanning membrane science, separation technologies, computational prediction, and functional materials. His publication record includes studies using surface patterning to improve membrane distillation and multimodal convolutional neural networks to model nanofiltration fouling. These themes connect experimental characterization, materials engineering, and data-driven methods for environmental applications. [1] [2]

Research Contributions

Shang’s contributions can be viewed through three complementary areas: engineering membrane surfaces for improved separation performance, applying in-situ optical coherence tomography and multimodal neural networks to characterize fouling dynamics, and investigating supramolecular materials with enhanced thermal and adhesive properties. Together, these studies demonstrate integration of experimental methods, computational analysis, and materials design. [1] [2] [3]

Publications

The documented publications associated with Shang include a 2026 review of surface patterning in membrane distillation, a 2026 Desalination article on multimodal convolutional neural networks for nanofiltration fouling prediction, and a Nature Communications study on solution-sheared supramolecular oligomers. The works collectively cover membrane engineering, machine learning, imaging, adhesion, and advanced materials. [1] [2] [3]

Research Impact

The research has potential relevance to green technology through improved membrane efficiency, fouling management, and durable functional materials. Surface-engineered membranes may support cleaner separation processes, while predictive imaging models can improve understanding of fouling development. Work on thermally resistant adhesives further broadens the profile toward resource-conscious and performance-oriented materials engineering. [1] [2] [3]

Award Suitability

The Best Researcher Award profile is supported by a combination of publication activity, citation indicators, interdisciplinary research themes, and alignment with green technology. The reported record of 34 documents, 812 citations, and an h-index of 15 provides quantitative evidence of scholarly visibility, while recent publications demonstrate continuing research activity. [1] [2] [3]

Conclusion

Wentao Shang presents a research profile combining membrane technology, computational modeling, imaging, and advanced materials. His recent work addresses practical challenges in separation efficiency, fouling prediction, and material durability. The combination of documented scholarly output and green-technology relevance provides a reasonable academic basis for consideration under the Best Researcher Award. [1] [2] [3]

References

  1. Zhang, C., Lin, Y., Lu, G., Yuan, B., Chen, P., Farid, M. U., Lee, V. P. H., Shang, W., Li, W., & An, A. K. (2026). Surface patterning in membrane distillation: Fabrication, mechanism, and performance enhancement. Separation and Purification Technology, 394(Part 3), Article 137561.
    https://www.sciencedirect.com/science/article/abs/pii/S1383586626008270
  2. Shang, W., Zeng, Y., Xiao, F., Wu, M., Wang, Y., Yang, Z., He, J., & Sun, F. (2026). A multimodal convolutional neural network trained by in-situ OCT characterization for dynamic structural prediction of nanofiltration fouling. Desalination, 639, Article 120676.
    https://www.sciencedirect.com/science/article/pii/S0011916426008325
  3. Lu, G., Ma, R., Zhao, Y., Wang, D., Shang, W., Chen, H., Khan, S. A., Li, M., & Saiz, E. (2025). Solution-sheared supramolecular oligomers with enhanced thermal resistance in interfacial adhesion and bulk cohesion. Nature Communications, 16, 7754.
    https://www.nature.com/articles/s41467-025-63123-9
  4. Elsevier. (n.d.). Scopus author details: Wentao Shang, Author ID 57604364900. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57604364900
  5. ORCID. (n.d.). Wentao Shang, ORCID 0000-0002-5168-7696. ORCID.
    https://orcid.org/0000-0002-5168-7696

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

Marina Gravit | Sustainable Tech | Women Researcher Award

Published on by Technology Scientists

Women Researcher Award

Marina Gravit
Peter the Great St.Petersburg Polytechnic University

                             Marina Gravit
Affiliation Peter the Great St.Petersburg Polytechnic University
Country Russia
Scopus ID 56826013600
Documents 104
Citations 780
h-index 15
Subject Area Sustainable Tech
Event Technology Scientists Awards
ORCID 0000-0003-1071-427X

Marina Gravit is a researcher affiliated with Peter the Great St.Petersburg Polytechnic University whose scholarly work focuses on fire safety engineering, sustainable construction materials, structural fire resistance, and passive fire protection technologies. Her research contributes to the advancement of resilient infrastructure and evidence-based approaches for improving building safety under severe fire conditions.[1]

Abstract

This article presents an overview of Marina Gravit’s academic profile, emphasizing her contributions to fire resistance engineering, passive fire protection systems, and sustainable construction technologies. Her publications address critical challenges in structural safety, predictive fire resistance assessment, and the application of advanced protective materials for industrial and civil infrastructure.[1][2]

Keywords

Fire Resistance, Structural Engineering, Passive Fire Protection, Sustainable Construction, Fire Safety Materials, Hydrocarbon Fire Conditions, Steel Structures, Building Safety, Fire Protection Engineering, Sustainable Technology.

Introduction

Marina Gravit’s research addresses contemporary challenges in fire safety engineering through studies of fire-resistant materials, structural performance, and protective technologies. Her work integrates sustainability and engineering reliability, supporting safer infrastructure development while advancing scientific understanding of fire behavior and protection strategies in modern construction environments.[1]

Research Profile

As a scholar in fire safety and construction engineering, Marina Gravit has developed a substantial publication record focused on building resilience, fire protection materials, and structural safety assessment. Her interdisciplinary approach combines engineering analysis, material science, and sustainability principles to address practical and scientific challenges.[1][3]

Research Contributions

Her contributions include investigations of passive fire protection systems, bibliometric analyses of fire-resistant construction technologies, and predictive methodologies for assessing steel structures under hydrocarbon fire exposure. These studies support evidence-based engineering decisions and contribute to enhanced safety standards in industrial and commercial infrastructure.[2][3]

Publications

Notable publications examine fire resistance in building structures, passive protection materials for steel systems exposed to jet fires, and forecasting models for structural performance during hydrocarbon fire scenarios. These works provide valuable insights into fire engineering design, safety optimization, and protective material evaluation.[1][2][3]

Research Impact

The impact of Marina Gravit’s research is reflected in scholarly citations, practical relevance to fire safety engineering, and contributions to safer structural design practices. Her studies support researchers, engineers, and policymakers seeking improved methodologies for fire resistance assessment and infrastructure protection.[1][3]

Award Suitability

Marina Gravit demonstrates strong suitability for the Women Researcher Award through her sustained scholarly productivity, international research visibility, and contributions to sustainable technology and fire safety engineering. Her work addresses critical societal challenges while advancing knowledge relevant to resilient and sustainable built environments.[1][2]

Conclusion

Marina Gravit’s academic achievements illustrate a commitment to advancing fire safety science, sustainable construction technologies, and structural resilience. Through influential research and practical engineering applications, she has contributed valuable knowledge supporting safer infrastructure and ongoing innovation within the field of sustainable technology.[1][3]

References

  1. Gravit, M., et al. (2025). Fire Resistance of Building Structures and Fire Protection Materials: Bibliometric Analysis. Fire, 8(1), 10.
    https://www.mdpi.com/2571-6255/8/1/10
  2. Gravit, M., et al. (2024). Impact of Jet Fires on Steel Structures: Application of Passive Fire Protection Materials. Fire, 7(8), 281.
    https://www.mdpi.com/2571-6255/7/8/281/review_report
  3. Gravit, M., et al. (2024). Oil and Gas Structures: Forecasting the Fire Resistance of Steel Structures with Fire Protection under Hydrocarbon Fire Conditions. Fire, 7(6), 173.
    https://www.mdpi.com/2571-6255/7/6/173
  4. Elsevier. (n.d.). Scopus author details: Marina Gravit, Author ID 56826013600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56826013600
  5. ORCID. (n.d.). Marina Gravit ORCID Record.
    https://orcid.org/0000-0003-1071-427X

Silvius Stanciu | Green Technologies | Green Tech Award

Published on by Technology Scientists

Green Tech Award

Silvius Stanciu
Dunarea de Jos University of Galati, Romania

Silvius Stanciu
Affiliation Dunarea de Jos University of Galati
Country Romania
Scopus ID 57202534648
Documents 118
Citations 639
h-index 13
Subject Area Green Technologies
Event Technology Scientists Awards
ORCID 0000-0001-7697-0968

The Green Tech Award recognizes researchers contributing to sustainable technological innovation and environmentally responsible scientific advancement. Silvius Stanciu has developed research in food quality systems, environmental monitoring, sustainable packaging technologies, and resource management, supporting interdisciplinary progress in green technologies and food science research.[1]

Abstract

This article presents an overview of the academic contributions of Silvius Stanciu in the fields of green technologies, sustainable food systems, environmental quality management, and food packaging innovation. His interdisciplinary research supports modern scientific approaches for sustainability, technological efficiency, and environmental safety within food and agricultural systems.[1][2]

Keywords

Green technologies, food safety, HACCP, environmental sustainability, food packaging, nanoparticles, GIS monitoring, water contamination, anthocyanin extraction, sustainable innovation.

Introduction

Silvius Stanciu has contributed to research involving sustainable food technologies, environmental monitoring systems, and quality assurance methodologies. His academic work integrates green innovation principles with food science and environmental management, addressing technological challenges associated with sustainability, public health, and industrial modernization in contemporary scientific environments.[1]

Research Profile

The research profile of Silvius Stanciu includes food quality management systems, environmental safety, smart packaging technologies, and sustainable agricultural applications. His scholarly activities emphasize interdisciplinary approaches that combine technological innovation, quality control, environmental monitoring, and scientific evaluation for practical industrial and environmental solutions.[2]

Research Contributions

His research contributions include studies on HACCP systems, food packaging nanotechnologies, bioactive compound extraction, and GIS-based environmental assessments. These investigations support advancements in sustainable food production, contamination management, consumer safety, and innovative technological applications that align with modern green technology objectives.[1][3]

Publications

The publication record of Silvius Stanciu demonstrates consistent contributions to food technology, environmental sustainability, and scientific quality management. His publications address emerging issues in food safety systems, smart packaging materials, extraction optimization processes, and environmental monitoring technologies through interdisciplinary scientific methodologies.[2][3]

Research Impact

The research impact of Silvius Stanciu is reflected through citations, interdisciplinary collaborations, and applications in sustainable food systems and environmental technologies. His studies contribute to scientific understanding of quality management practices, environmental safety assessment, and green innovation strategies supporting sustainable industrial development.[3]

Award Suitability

Silvius Stanciu is considered suitable for the Green Tech Award due to his sustained academic involvement in environmentally responsible technologies, sustainable food management, and scientific innovation. His research aligns with the objectives of promoting technological advancement, environmental responsibility, and interdisciplinary sustainability-focused scientific development.[1][2]

Conclusion

The academic contributions of Silvius Stanciu demonstrate meaningful engagement with sustainable technologies, food quality systems, and environmental innovation. His interdisciplinary research activities continue to support scientific progress in green technologies, emphasizing practical applications, environmental sustainability, and technological modernization across food and environmental sciences.[3]

References

  1. Stanciu, S., & colleagues. (2022). Global trends and research hotspots on HACCP and modern quality management systems in the food industry. Foods, 11(4), 560.
    https://doi.org/10.3390/foods11040560
  2. Stanciu, S., & colleagues. (2021). Metal Oxide Nanoparticles in Food Packaging and Their Influence on Human Health. Materials, 14(17), 4972.
    https://doi.org/10.3390/ma14174972
  3. Stanciu, S., & colleagues. (2020). Optimizing of the extraction conditions for anthocyanin’s from purple corn flour (Zea mays L): Evidences on selected properties of optimized extract. Food Chemistry, 310, 125829.
    https://doi.org/10.1016/j.foodchem.2019.125829
  4. Elsevier. (n.d.). Scopus author details: Silvius Stanciu, Author ID 57202534648. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57202534648

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
0

Citations

126

Documents

20

h-index

7

Citations

Documents

h-index

View Scopus Profile

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Nuttapat Jittratorn | Renewable Energy | Best Researcher Award

Published on by Technology Scientists

Mr. Nuttapat Jittratorn | Renewable Energy | Best Researcher Award

Ph.D. Candidate in Electrical Engineering, National Cheng Kung University, Taiwan.

Nuttapat Jittratorn is a passionate Ph.D. candidate in Electrical Engineering at National Cheng Kung University, Taiwan. With a deep-rooted commitment to renewable energy innovation, he has led over 10 collaborative projects across Taiwan and Japan, applying AI to enhance energy forecasting systems. His academic and industrial experience spans solar PV, wind power, and hybrid energy systems. Nuttapat’s interdisciplinary expertise merges machine learning with real-time deployment, helping industries such as TSMC and Delta Electronics optimize energy use. Recognized with the Best Oral Presentation Award at the 2025 IEEE IAS Annual Meeting, he also contributes to academic leadership as a session chair and student mentor. A forward-thinking researcher fluent in English and Thai, he continues to bridge research with sustainable industrial solutions.

🧾Author Profile

🎓 Education

Nuttapat Jittratorn began his academic journey at Kasetsart University, Thailand, earning a Bachelor of Engineering in Electrical Engineering (2014–2018). He then pursued his Master’s degree at National Chung Cheng University in Taiwan, where he deepened his focus on renewable energy systems and intelligent computation (2018–2021). Currently, he is a Ph.D. candidate in Electrical Engineering at National Cheng Kung University, Taiwan (2021–present). His doctoral research centers on enhancing the reliability and accuracy of energy forecasting using artificial intelligence. Throughout his studies, Nuttapat has maintained a strong interdisciplinary approach, integrating engineering principles with emerging technologies like deep learning and hybrid modeling. His academic path reflects a consistent commitment to solving global energy challenges through intelligent system design and applied machine learning in energy grids.

💼 Experience 

Since 2021, Nuttapat has played pivotal roles as Team Leader, Project Advisor, and Researcher across Taiwan and Japan. He has collaborated with leading institutions and corporations such as TSMC, Delta Electronics, FarEasTone Telecom, and the National Science and Technology Council. His work involves real-time AI-powered forecasting systems for solar, wind, and multi-load applications in power and steam. Nuttapat has led the development and deployment of models in real-world industrial settings, optimizing power generation and usage. As a Thesis Advisor at Ton Duc Thang University (2022–2023), he mentored students in AI-energy research and thesis defense preparation. His projects span Changhua, Hsinchu, Tainan, Taoyuan, and Kagoshima, showcasing his ability to drive innovation in dynamic, multinational environments.

🏅 Honors & Awards 

Nuttapat Jittratorn was awarded the Best Oral Presentation Award in the Renewable and Sustainable Energy Conversion track at the 2025 IEEE IAS Annual Meeting, recognizing his research impact in intelligent PV and wind power forecasting. Additionally, he served as the Session Chair at the same Award, a testament to his leadership and recognition in the energy research community. His collaborative research and advisory roles in academia and industry have positioned him as a standout researcher in applied energy systems. These achievements underscore his ability to produce not just high-quality publications, but also real-world, industry-transforming outcomes that align with global sustainability goals.

🔬 Research Focus 

Nuttapat’s research is centered on AI-based renewable energy forecasting. He develops intelligent models for very short-term and short-term prediction of solar PV and wind power generation. His focus includes hybrid techniques that combine LSTM, Markov models, and probabilistic correction based on environmental data like wind speed. He also explores energy storage integration, such as BESS (Battery Energy Storage Systems), to enhance operational efficiency. His work bridges data science and engineering, ensuring models are not only accurate in labs but also viable for real-world deployment in industrial energy management. His interdisciplinary projects support Taiwan and Japan’s energy industries in transitioning toward smarter and more reliable grid systems. His research is forward-looking, contributing directly to the goals of a low-carbon economy and sustainable industrial operations.

Publication Top Notes

1. A Hybrid Method for Hour-Ahead PV Output Forecast with Historical Data Clustering

Authors: N. Jittratorn, G.W. Chang, G.Y. Li
Conference: 2022 IET International Conference on Engineering Technologies
Citations: 4
Summary: This paper proposes a clustering-based hybrid model for predicting hour-ahead PV output. Historical meteorological data are clustered to create more accurate baseline patterns, improving forecast accuracy. The model has industrial applications for solar plant operation scheduling.

2. Very Short-Term Wind Power Forecasting Using a Hybrid LSTM-Markov Model Based on Corrected Wind Speed

Authors: A.N. Jittratorn, B.C.M. Huang, C.H.T. Yang
Journal: Renewable Energy and Power Quality Journal, Vol. 21, pp. 433–438
Year: 2023 | Citations: 2
Summary: A hybrid forecasting framework combining LSTM and a Markov decision structure, this study corrects input wind speed for improving wind power forecasts within minutes to hours. Effective for wind turbine operational control and energy market participation.

3. A Deterministic and Probabilistic Framework Based on Corrected Wind Speed to Improve Short-Term Wind Power Forecasting Accuracy

Authors: N. Jittratorn, C.M. Huang, H.T. Yang
Journal: International Journal of Electrical Power & Energy Systems, Vol. 170, 110859
Year: 2025
Summary: This journal article presents an advanced dual-framework model integrating deterministic forecasts with probabilistic corrections, improving reliability in fluctuating wind environments. It’s particularly useful for risk-aware grid management and dispatch.

4. Short-Term Forecasting of Wind Power Plant Generation Based on Machine Learning Models

Authors: M.N. Phan, K.P. Nguyen, V. Van Huynh, C.M. Huang, H.T. Yang, N. Jittratorn, et al.
Conference: 2025 IEEE 1st International Conference on Smart and Sustainable Developments
Year: 2025
Summary: Collaborative paper exploring various machine learning models for short-term wind forecasting. Nuttapat contributed to model selection, tuning, and integration with real-time plant data.

5. PV Power Forecasting for Operation of BESS Integrated with a PV Generation Plant

Authors: N. Jittratorn, C.S. Liu, C.M. Huang, H.T. Yang
Conference: 2024 IEEE 19th Conference on Industrial Electronics and Applications (ICIEA)
Year: 2024
Summary: Proposes a new forecasting model to manage PV+BESS operation, ensuring optimal battery use while minimizing forecast error. Critical for smart energy storage deployment in renewable infrastructure.

🏅 Conclusion

Nuttapat Jittratorn is a highly promising early-career researcher with solid technical, academic, and leadership credentials. His contributions to AI-driven energy forecasting and integration with industrial applications stand out. While still in the Ph.D. phase, his research maturity, real-world impact, and academic service position him as a strong candidate for the Best Researcher Award, particularly in the applied energy systems or smart grid technologies domain.