Abel Alebachew Belay | Engineering | Innovative Research Award

Published on by Innovation Technologist

 

Innovative Research Award

Abel Alebachew Belay
Bialystok University of Technology, Poland
Abel Alebachew Belay
Affiliation Bialystok University of Technology
Country Poland
Scopus ID 59146815600
Documents 3
Citations 6
h-index 1
Subject Area Engineering
Event Global Innovation Technologist Awards
ORCID 0000-0002-4127-7423

The Innovative Research Award article recognizes the scholarly contributions of Abel Alebachew Belay, a researcher affiliated with the Bialystok University of Technology in Poland. His work primarily focuses on reinforced concrete structures, fiber-reinforced polymer reinforcement systems, structural mechanics, crack propagation analysis, and sustainable engineering materials. His publications demonstrate continuing contributions to experimental and analytical research within structural engineering and advanced construction materials.[1]

Abstract

Abel Alebachew Belay’s published research investigates the mechanical behavior, durability, and structural performance of reinforced concrete beams incorporating conventional steel reinforcement, basalt fiber reinforced polymer (BFRP) bars, polypropylene fibers, and other innovative reinforcement technologies. His work combines laboratory experimentation with analytical evaluation to improve crack resistance, deflection performance, and sustainable structural design within civil engineering.[1]

Keywords

  • Reinforced Concrete
  • Basalt Fiber Reinforced Polymer
  • Structural Engineering
  • Concrete Beams
  • Fiber Reinforcement
  • Civil Engineering

Introduction

Modern structural engineering increasingly emphasizes sustainable reinforcement systems capable of improving durability while reducing maintenance costs. Abel Alebachew Belay’s investigations contribute to this field by experimentally evaluating innovative reinforcement materials, comparing traditional steel reinforcement with fiber-reinforced alternatives, and assessing structural response under service and ultimate loading conditions.[2]

Research Profile

  • Affiliation: Bialystok University of Technology
  • Country: Poland
  • Primary Discipline: Engineering
  • Scopus Documents: 3
  • Scopus Citations: 6
  • Scopus h-index: 1

Research Contributions

  • Experimental evaluation of reinforced concrete beam performance.
  • Investigation of basalt fiber reinforced polymer reinforcement.
  • Comparative assessment of steel and polypropylene fiber reinforcement.
  • Studies on crack development and structural deflection.
  • Research supporting sustainable construction materials.

Publications

  1. Comparative Experimental Investigation of Reinforced Concrete Beams with Steel and Polypropylene Fiber Reinforcement. Fibers (2026).
  2. 11TH International Conference AMCM 2025. Analytical Models and New Concepts in Concrete and Masonry Structures. Conference Proceedings (2025).
  3. Deflection and Crack Analysis of Single Span Concrete Beams Reinforced with Basalt Fiber Reinforced Polymer Bars. Advances in Science and Technology Research Journal (2025).
  4. Assessing the Performance of Small Concrete Beams Reinforced with Steel and Fiber Reinforced Polymer Bars. AMT 2024 Conference (2024).
  5. Selected Mechanical Properties of Basalt Microbars Reinforced Concrete. Materiały Budowlane (2024).

Research Impact

The available publication record demonstrates research activity in reinforced concrete engineering with emphasis on innovative reinforcement materials and structural performance evaluation. The documented work contributes experimental evidence supporting the understanding of fiber-reinforced concrete systems, crack development, and beam deflection characteristics relevant to modern infrastructure engineering.[3]

Award Suitability

Based on the documented publication portfolio, engineering specialization, peer-reviewed journal articles, conference participation, and contributions to reinforced concrete research, Abel Alebachew Belay demonstrates scholarly activity aligned with the objectives of the Global Innovation Technologist Awards. This assessment reflects the documented academic record and publication achievements presented in publicly available sources rather than any endorsement or guarantee of award selection.[2]

Conclusion

Abel Alebachew Belay has contributed to structural engineering research through investigations of reinforced concrete behavior, innovative reinforcement materials, and experimental validation of structural performance. His published studies support ongoing advances in durable and sustainable construction technologies while contributing knowledge applicable to future civil engineering research and practice.[1]

External Links

References

  1. Belay AA, et al. Comparative Experimental Investigation of Reinforced Concrete Beams with Steel and Polypropylene Fiber Reinforcement. Fibers. 2026.
    DOI: https://doi.org/10.3390/fib14080089
  2. Belay AA, et al. Deflection and Crack Analysis of Single Span Concrete Beams Reinforced with Basalt Fiber Reinforced Polymer Bars. Advances in Science and Technology Research Journal. 2025.
    DOI: https://doi.org/10.12913/22998624/204204
  3. Belay AA, et al. Selected Mechanical Properties of Basalt Microbars Reinforced Concrete. Materiały Budowlane. 2024.
    DOI: https://doi.org/10.15199/33.2024.07.02
  4. Belay AA, et al. 11TH International Conference AMCM 2025. Analytical Models and New Concepts in Concrete and Masonry Structures.
    DOI: https://doi.org/10.24427/978-83-68673-07-4

Bente Elisabeth Moen | Medicine and Health Sciences | Innovative Research Award

Published on by Innovation Technologist

 

Innovative Research Award

Bente Elisabeth Moen
University of Bergen, Norway
Bente Elisabeth Moen
Affiliation University of Bergen
Country Norway
Scopus ID 7005903229
Documents 316
Citations 7,639
h-index 45
Subject Area Medicine and Health Sciences
Event Global Innovation Technologist Awards
ORCID 0000-0002-0435-3124

The Innovative Research Award recognizes sustained scholarly excellence, research quality, scientific influence, and meaningful contributions to society through evidence-based research. Professor Bente Elisabeth Moen has established an internationally recognized academic profile in occupational medicine, environmental health, and public health research. Her extensive publication record, high citation impact, and interdisciplinary collaborations demonstrate a consistent commitment to improving occupational safety, environmental exposure assessment, and preventive healthcare strategies.[1]

Abstract

Professor Bente Elisabeth Moen has contributed substantially to occupational medicine, workplace epidemiology, environmental exposure research, and preventive health sciences. Her research portfolio includes investigations of pesticide exposure, occupational respiratory health, industrial hygiene, workplace safety culture, and environmental risk assessment. The combination of extensive scholarly productivity and strong citation performance illustrates sustained scientific influence and international research visibility.[1]

Keywords

  • Occupational Medicine
  • Environmental Health
  • Public Health
  • Occupational Epidemiology
  • Industrial Hygiene
  • Preventive Medicine

Introduction

Occupational and environmental health research plays an essential role in protecting workers and improving population well-being. Professor Moen’s investigations have addressed occupational exposure to hazardous substances, respiratory disorders, pesticide exposure, workplace injury prevention, and environmental determinants of health. These studies provide evidence supporting improved occupational policies and preventive interventions across diverse international settings.[2]

Research Profile

With 316 indexed publications, 7,639 citations, and an h-index of 45, Professor Moen demonstrates a sustained record of scientific productivity and scholarly influence. Her collaborations span occupational medicine, environmental epidemiology, public health, and workplace safety, reflecting multidisciplinary engagement with global health challenges.[1]

Research Contributions

  • Occupational exposure assessment.
  • Environmental health epidemiology.
  • Respiratory disease prevention.
  • Pesticide exposure research.
  • Construction workplace safety studies.
  • Global occupational health collaborations.

Publications

  1. Neurodevelopment in children born to women exposed to pesticides during pregnancy. PLOS One (2025).
  2. Occupations and Risk of Head and Neck Cancers: A Case–Control Study in Tanzania. International Journal of Environmental Research and Public Health (2025).
  3. Occupational Pesticide Exposure Risks and Gendered Experiences Among Women in Horticultural Farms in Northern Tanzania.
  4. Reduced lung function among non-smoking workers in the paper industry in Ethiopia.
  5. Association between safety climate, safety participation, safety compliance, and occupational injuries among workers in large-scale building construction projects in Ethiopia.

Research Impact

The research output demonstrates significant international influence through citation performance, interdisciplinary collaboration, and continuous publication in peer-reviewed journals. The work supports evidence-based occupational health policies, workplace safety initiatives, environmental exposure assessment, and preventive medicine.[1]

Award Suitability

Considering the sustained publication record, established citation impact, internationally recognized research profile, and continued contribution to occupational and environmental health sciences, Professor Bente Elisabeth Moen demonstrates qualifications consistent with the objectives of the Global Innovation Technologist Awards. The research portfolio reflects long-term scholarly excellence and measurable scientific impact across multiple areas of medicine and public health.[1]

Conclusion

Professor Bente Elisabeth Moen has developed a distinguished academic career characterized by sustained research productivity, interdisciplinary collaboration, and internationally recognized contributions to occupational and environmental health sciences. Her scholarly achievements, research quality, and measurable scientific influence provide a strong foundation for recognition through the Innovative Research Award.

External Links

References

  1. Scopus Author Profile. Bente Elisabeth Moen. Available at:
    https://www.scopus.com/authid/detail.uri?authorId=7005903229
  2. Moen BE et al. Neurodevelopment in children born to women exposed to pesticides during pregnancy. PLOS One (2025).
    DOI: 10.1371/journal.pone.0326007
  3. Occupations and Risk of Head and Neck Cancers: A Case–Control Study in Tanzania.
    DOI: 10.3390/ijerph22111643
  4. Occupational Pesticide Exposure Risks and Gendered Experiences Among Women in Horticultural Farms in Northern Tanzania.
    DOI: 10.3390/ijerph22101529
  5. Reduced lung function among non-smoking workers in the paper industry in Ethiopia.
    DOI: 10.1007/s00420-025-02163-6
  6. Association between safety climate, safety participation, safety compliance, and occupational injuries among workers in large-scale building construction projects in Ethiopia.
    DOI: 10.1007/s00420-025-02164-5

Jihoon Jang | Engineering | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

Jihoon Jang
Affiliation Korea Institute of Civil Engineering and Building Technology
Country South Korea
Scopus ID 57204915562
Documents 7
Citations 226
h-index 6
Subject Area Engineering
Event Global Innovation Technologist Awards

Jihoon Jang
Korea Institute of Civil Engineering and Building Technology, South Korea

Jihoon Jang is an engineering researcher whose work focuses on intelligent building systems, building energy prediction, indoor environmental quality, and data-driven optimization techniques. His published studies demonstrate the integration of artificial intelligence, machine learning, and building energy management systems to improve operational efficiency and sustainability in modern buildings. With a Scopus profile containing seven indexed publications, 226 citations, and an h-index of six, his research has contributed to practical advances in energy-efficient building technologies and predictive analytics.[1]

Abstract

Jihoon Jang’s scholarly work centers on predictive building analytics, energy optimization, and intelligent HVAC operation. His publications demonstrate the practical application of artificial neural networks and long short-term memory (LSTM) models for forecasting heating energy demand and optimizing building operation schedules. These contributions support sustainable infrastructure by improving energy efficiency while maintaining occupant comfort.[2]

Keywords

Building Energy Management, Artificial Intelligence, HVAC Systems, LSTM Networks, Sustainable Engineering, Indoor Environmental Quality, Machine Learning, Energy Prediction.

Introduction

Growing interest in sustainable buildings has accelerated the development of predictive analytical methods capable of reducing energy consumption while maintaining indoor environmental performance. Jihoon Jang’s research contributes to this objective by combining engineering knowledge with artificial intelligence, producing practical solutions applicable to smart buildings and energy management systems.[3]

Research Profile

The research profile reflects interdisciplinary expertise spanning building engineering, thermal performance modeling, data analytics, and intelligent control technologies. Publications appear in internationally recognized journals including Energy and Buildings, Journal of Building Engineering, Sustainability, and Energies. Citation metrics indicate sustained academic visibility within engineering research communities.[1]

Research Contributions

  • Developed LSTM-based prediction models for heating energy consumption in non-residential buildings.
  • Applied artificial neural networks for predicting optimum heating schedules using BEMS datasets.
  • Investigated HVAC cooling set-point optimization considering mean radiant temperature.
  • Improved thermal energy prediction through advanced feature selection methods.
  • Contributed to affordable image sensing technologies for indoor environmental quality monitoring.

Publications

  • Prediction of heating energy consumption with operation pattern variables using LSTM networks (2022) — 136 citations.
  • Prediction of optimum heating timing utilizing BEMS data (2019) — 54 citations.
  • Cooling set-point temperature considering mean radiant temperature (2019) — 35 citations.
  • Improved model for predicting building thermal energy consumption (2019) — 23 citations.
  • Collection and utilization of indoor environmental quality information using image sensing technology (2022) — 22 citations.

Research Impact

The citation performance of Jihoon Jang’s publications demonstrates consistent scholarly influence within engineering and building science. His studies provide methodological foundations for integrating machine learning into practical building operation, supporting energy conservation initiatives and digital transformation in infrastructure management. The combination of predictive modeling and environmental sensing has relevance for future smart-city applications.[4]

Award Suitability

Based on available scholarly indicators, publication quality, and demonstrated engineering contributions, Jihoon Jang’s work aligns with the objectives of the Global Innovation Technologist Awards. His research emphasizes innovation, measurable academic impact, and practical engineering applications, making the profile suitable for consideration within technology-focused academic recognition programs.[5]

Conclusion

Jihoon Jang has established a focused research portfolio addressing intelligent building operation, predictive analytics, and sustainable engineering. Through contributions to high-quality journals and meaningful citation impact, his work supports continued progress toward energy-efficient infrastructure and evidence-based building management technologies.

References

  1. Elsevier. (n.d.). Scopus author details: Jihoon Jang, Author ID 57204915562.
    https://www.scopus.com/authid/detail.uri?authorId=57204915562
  2. Jang J. et al. (2022). Prediction of heating energy consumption with operation pattern variables for non-residential buildings using LSTM networks.
    https://doi.org/10.1016/j.enbuild.2021.111647
  3. Journal of Building Engineering. (2019). Prediction of optimum heating timing based on artificial neural network.
    https://doi.org/10.1016/j.jobe.2018.12.010
  4. Sustainability. (2019). The derivation of cooling set-point temperature in an HVAC system.
    https://doi.org/10.3390/su11195417
  5. Global Innovation Technologist Awards. (n.d.). Official Award Website.
    innovationtechnologist.com

Merve Öztekin | Engineering | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

Merve Öztekin
Karadeniz Technical University, Turkey
Merve Öztekin
Affiliation Karadeniz Technical University
Country Turkey
Scopus ID 57848993700
Documents 2
Citations 3
h-index 1
Subject Area Engineering
Event Global Innovation Technologist Awards
ORCID 0009-0007-0470-6229

The Innovative Research Award recognizes researchers whose scholarly activities contribute to technological advancement through high-quality engineering research and measurable scientific outputs. Merve Öztekin of Karadeniz Technical University has developed research focused on transformer differential protection, electrical machines, intelligent control systems, and electric vehicle drive technologies. Recent publications demonstrate continued engagement with modern power engineering challenges while emphasizing analytical methods and practical applications in electrical power systems.[1]

Abstract

Merve Öztekin’s research addresses transformer protection algorithms, wavelet-transform applications, nonlinear motor control, and energy-efficient electric vehicle drive systems. The published work combines theoretical modelling with engineering implementation, contributing to the reliability and efficiency of electrical power equipment. The research portfolio reflects interdisciplinary integration between protection engineering, control theory, and intelligent electrical systems.[2]

Keywords

Transformer Differential Protection, Wavelet Transform, Electric Vehicles, Interior Permanent Magnet Synchronous Motor, Engineering, Power Systems, Electrical Protection, Intelligent Control.

Introduction

Modern electrical engineering increasingly requires dependable protection techniques and efficient motor control strategies to improve system stability and sustainability. Research undertaken by Merve Öztekin contributes to these objectives through investigations into transformer fault detection and optimized electrical drive technologies. Publications appearing in international journals and conference proceedings demonstrate ongoing participation in engineering research.[3]

Research Profile

According to the supplied research profile, the author has published studies involving transformer differential protection algorithms, electric vehicle drive optimization, nonlinear control methods, and power electronics. The available bibliometric indicators include a Scopus Author ID of 57848993700 with documented scholarly output, citations, and an h-index reflecting the current stage of academic development.[1]

Research Contributions

  • Development of low-level inter-turn fault detection algorithms for transformer differential protection.
  • Application of wavelet transform techniques for reliable transformer protection.
  • Research on nonlinear optimal control for interior permanent magnet synchronous motors.
  • Studies supporting energy-efficient electric vehicle drive systems.

Publications

  • Low-Level Inter-Turn Fault Detection Algorithm for Transformer Differential Protection (Applied Sciences, 2026).
  • Transformer Differential Protection with Wavelet Transform and Difference Function (Engineering Science and Technology, 2025).
  • Energy Efficient and Transients Optimal IPMSM Drive for Electric Vehicles (SPEEDAM, 2022).
  • Nonlinear Optimal Control for Interior Permanent Magnet Synchronous Motor Drives (ECC, 2022).
  • Wavelet Transform Based Differential Protection Algorithm for Power Transformer (ELECO, 2016).

Research Impact

The available publication record illustrates sustained interest in power system protection and electric drive optimization. Citation metrics indicate emerging scholarly recognition, while recent journal publications suggest continued research productivity. The work contributes to engineering literature by addressing practical reliability and efficiency challenges in electrical infrastructure.[4]

Award Suitability

Based on the documented publications, engineering specialization, and recent peer-reviewed contributions, Merve Öztekin demonstrates characteristics consistent with consideration for the Global Innovation Technologist Awards. The research portfolio emphasizes innovation in electrical engineering through analytical modelling, transformer protection, and sustainable transportation technologies while maintaining publication activity in recognized scientific venues.[5]

Conclusion

The academic profile presented here reflects an engineering researcher contributing to electrical power systems, intelligent protection methods, and advanced motor control. Through conference papers and peer-reviewed journal articles, the research demonstrates progressive development and continuing engagement with contemporary engineering challenges. The documented achievements provide an appropriate scholarly basis for recognition within an international innovation-focused award framework.

References

  1. Elsevier. (n.d.). Scopus author details: Merve Öztekin, Author ID 57848993700.
    https://www.scopus.com/authid/detail.uri?authorId=57848993700
  2. Öztekin, M. (2026). Low-Level Inter-Turn Fault Detection Algorithm for Transformer Differential Protection.
    https://doi.org/10.3390/app16147073
  3. Öztekin, M. (2025). Transformer Differential Protection with Wavelet Transform and Difference Function.
    https://doi.org/10.1016/j.jestch.2025.102144
  4. IEEE. (2022). Energy Efficient and Transients Optimal IPMSM Drive for Electric Vehicles.
    https://doi.org/10.1109/SPEEDAM53979.2022.9842114
  5. European Control Conference. (2022). Nonlinear Optimal Control for Interior Permanent Magnet Synchronous Motor Drives.
    https://doi.org/10.23919/ECC55457.2022.9838314

Wurod Mohamed | Engineering | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

Wurod Mohamed
Affiliation University of Arkansas at Little Rock
Country United States
Scopus ID 57204874896
Documents 12
Citations 30
h-index 3
Subject Area Engineering
Event Global Innovation Technologist Awards
ORCID 0000-0003-2421-1534

Wurod Mohamed

University of Arkansas at Little Rock, United States

Wurod Mohamed is an engineering researcher whose scholarly work focuses on wireless communication systems, signal processing, antenna characterization, electromagnetic modeling, and intelligent communication technologies. Her publications demonstrate continued contributions to millimeter-wave communications, audio transmission enhancement, radar cross-section analysis, and image transmission techniques. The research portfolio reflects interdisciplinary engineering applications supported by computational methods and practical system evaluation, making it relevant to modern wireless infrastructure and emerging communication technologies.[1]

Abstract

The research activities of Wurod Mohamed emphasize engineering solutions for next-generation communication systems through analytical modeling, artificial intelligence, and electromagnetic simulation. Her work addresses practical challenges involving direction-of-arrival estimation, wireless propagation, radar characterization, multimedia transmission, and signal reliability. Publications appearing in recognized engineering journals and conference proceedings demonstrate a balanced combination of theoretical development and practical validation. Collectively, these studies contribute to the advancement of communication system efficiency and electromagnetic engineering while supporting innovation within modern wireless technologies.[2]

Keywords

Wireless Communications, Engineering, Deep Learning, Electromagnetic Modeling, Millimeter-Wave Systems, Signal Processing, Artificial Intelligence, Radar Cross Section.

Introduction

Engineering research increasingly relies on intelligent computational methods to improve communication performance under complex operating conditions. Wurod Mohamed’s scholarly work follows this direction by integrating signal processing algorithms, electromagnetic analysis, and deep learning techniques into communication system design. Her studies illustrate practical engineering approaches that improve estimation accuracy, transmission quality, and propagation modeling across multiple communication environments.[3]

Research Profile

According to the available scholarly profile, the researcher has authored 12 indexed publications with 30 citations and an h-index of 3. The publication record demonstrates sustained engagement in engineering research, particularly wireless communication, antenna systems, artificial intelligence applications, and computational electromagnetic analysis. These contributions indicate active participation in internationally indexed scientific literature.[1]

Research Contributions

  • Development of deep learning-based electromagnetic frameworks for millimeter-wave direction-of-arrival estimation.
  • Research on LMMSE-based enhancement of audio transmission performance.
  • Analysis of shadow path loss models considering antenna gain effects.
  • Image transmission optimization using advanced interleaving techniques.
  • Evaluation of bistatic and monostatic radar cross-section characteristics.

Publications

  • Deep Learning-Based Rigorous Electromagnetic Framework for Direction of Arrival Estimation in Millimeter-Wave Communication Systems Based on Embedded Radiation Patterns, Electronics (2026).
  • Performance Enhancement of Audio Transmission Based on LMMSE Method, Indonesian Journal of Electrical Engineering and Computer Science (2021).
  • Factors Influencing the Shadow Path Loss Model with Different Antenna Gains over Large-Scale Fading Channel, AIMS 2021.
  • New 2-D Interleaving Grouping LBC Applied on Image Transmission, International Journal of Electrical and Computer Engineering (2021).
  • Evaluation of Bistatic and Monostatic RCS for Simple and Complex Targets in X-Band, International Journal of Microwave and Optical Technology (2020).

Research Impact

The research portfolio demonstrates measurable scholarly visibility through indexed publications and citations while addressing technically significant engineering topics. The combination of wireless communications, artificial intelligence, and electromagnetic analysis reflects emerging priorities within communication engineering. The work contributes to improving communication reliability, signal estimation, and computational modeling for practical engineering applications.[4]

Award Suitability

Considering the documented publication record, engineering specialization, and continuing research activity, Wurod Mohamed demonstrates characteristics consistent with recognition by the Global Innovation Technologist Awards. The portfolio illustrates innovation in communication engineering, interdisciplinary application of computational intelligence, and contributions that align with technological advancement and scientific dissemination. The evaluation is based upon publicly available scholarly information and indexed research outputs.[5]

Conclusion

Wurod Mohamed has established a research profile centered on engineering innovation in wireless communications, signal processing, and computational electromagnetics. Through peer-reviewed publications and conference contributions, the researcher has addressed practical communication challenges using analytical and artificial intelligence-based approaches. The documented scholarly record supports recognition within academic engineering communities while demonstrating continuing engagement in research relevant to future communication technologies.

References

  1. Elsevier. (n.d.). Scopus Author Details: Wurod Mohamed, Author ID 57204874896.
    https://www.scopus.com/authid/detail.uri?authorId=57204874896
  2. Mohamed, W. (2026). Deep Learning-Based Rigorous Electromagnetic Framework… Electronics.
    https://doi.org/10.3390/electronics15132934
  3. Mohamed, W. (2021). Performance Enhancement of Audio Transmission Based on LMMSE Method.
    https://doi.org/10.11591/ijeecs.v21.i2.pp903-910
  4. IEEE. (2021). Factors Influencing the Shadow Path Loss Model with Different Antenna Gains over Large-Scale Fading Channel.
    https://doi.org/10.1109/AIMS52415.2021.9466043
  5. Global Innovation Technologist Awards. (n.d.). Official Award Website.
    innovationtechnologist.com