Amr Ragaa | Engineering | Innovative Research Award

Innovative Research Award

Amr Ragaa
Egyptian Natural Gas Company – GASCO, Egypt

Amr Ragaa
Affiliation Egyptian Natural Gas Company – GASCO
Country Egypt
Scopus ID 57196035854
Documents 56
Citations 545
h-index 12
Subject Area Engineering
Event Global Innovation Technologist Awards
ORCID 0000-0003-0628-4422

Amr Ragaa is a researcher affiliated with the Egyptian Natural Gas Company – GASCO whose indexed scholarly record encompasses 56 documents and 545 citations, with an h-index of 12. The publication portfolio supplied for this recognition profile demonstrates research activity spanning biomedical markers, genetic risk, molecular genetics, and computational biology, providing an interdisciplinary perspective relevant to contemporary scientific research and innovation.

Abstract

This academic recognition profile summarizes the documented research activity of Amr Ragaa in the context of the Innovative Research Award. The supplied bibliographic record indicates a sustained publication portfolio and measurable citation impact. Selected works address diabetic nephropathy biomarkers, rheumatoid arthritis genetics, vitamin D receptor polymorphisms, and computational investigation of parasite codon usage, illustrating methodological breadth across biomedical and computational research. [1] [2]

Keywords

  • Biomedical research
  • Molecular genetics
  • Genetic polymorphism
  • Computational biology
  • Research innovation

Introduction

Research innovation increasingly depends on integrating experimental evidence, molecular characterization, genetic investigation, and computational approaches. Ragaa’s supplied publication record reflects this multidisciplinary orientation. The 2023–2024 works include studies published in journals such as International Journal of Diabetes in Developing Countries, Biochemical Genetics, and BMC Medical Genomics, alongside a computational research software contribution. [3]

Research Profile

The available metrics identify 56 documents, 545 citations, and an h-index of 12 in the supplied Scopus profile. These indicators provide a quantitative view of publication activity and scholarly visibility, while the selected publications offer qualitative evidence of work addressing clinically relevant biomarkers, disease susceptibility, genetic variation, and reproducible computational methods. [1]

Research Contributions

The documented studies contribute to several complementary areas. Research on microRNA-192, pentraxin-3, and transforming growth factor-beta1 examines their association with estimated glomerular filtration rate in adults with diabetic nephropathy. Another case-control study investigates genetic risk associated with rheumatoid arthritis. A further study evaluates biochemical markers alongside FokI and TaqI vitamin D receptor gene polymorphisms, while the parazitCUB package provides a computational resource for examining parasite codon usage bias. [2] [4]

Publications

  1. Association of microRNA-192, pentraxin-3, and transforming growth factor-beta1 with estimated glomerular filtration rate in adults with diabetic nephropathy. International Journal of Diabetes in Developing Countries, 2024. [1]
  2. Genetic Risk of Rheumatoid Arthritis: A Case Control Study. Biochemical Genetics, 2024. [2]
  3. parazitCUB: An R package to streamline the process of investigating the adaptations of parasites’ codon usage bias. F1000Research, 2023. [3]
  4. Biochemical markers and FokI and TaqI vitamin D receptor genes polymorphism in rheumatoid arthritis. BMC Medical Genomics, 2023. [4]

Research Impact

The supplied citation count of 545 and h-index of 12 indicate established scholarly visibility within the indexed research record. The diversity of subjects represented in the selected publications further suggests an ability to connect biomedical questions with genetic, molecular, and computational approaches. Impact should be interpreted alongside publication quality, collaboration, methodological rigor, and the independent use of findings by subsequent researchers. [1] [4]

Award Suitability

Based on the supplied bibliometric indicators and publication evidence, Amr Ragaa presents a research profile relevant to consideration for the Innovative Research Award. The combination of 56 documented publications, 545 citations, an h-index of 12, and interdisciplinary research topics provides a substantive basis for academic recognition. The final award assessment should additionally consider the complete scholarly record, originality, research leadership, reproducibility, and broader contribution to the relevant field.

Conclusion

Amr Ragaa’s documented research profile combines measurable scholarly impact with contributions across biomedical, genetic, molecular, and computational research. The selected publications demonstrate engagement with clinically relevant disease mechanisms and methodological development. Together with the supplied Scopus indicators, these records provide a structured academic basis for consideration within the Global Innovation Technologist Awards.

References

  1. Elsevier. (n.d.). Scopus author details: Amr Ragaa, Author ID 57196035854. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57196035854
  2. Springer Nature. (2024). Genetic Risk of Rheumatoid Arthritis: A Case Control Study. Biochemical Genetics.
    DOI: https://doi.org/10.1007/S10528-023-10648-7
  3. F1000Research. (2023). parazitCUB: An R package to streamline the process of investigating the adaptations of parasites’ codon usage bias.
    DOI: https://doi.org/10.12688/f1000research.143223.1
  4. Springer Nature. (2023). Biochemical markers and FokI and TaqI vitamin D receptor genes polymorphism in rheumatoid arthritis. BMC Medical Genomics.
    DOI: https://doi.org/10.1186/S12920-023-01668-8
  5. Springer Nature. (2024). Association of microRNA-192, pentraxin-3, and transforming growth factor-beta1 with estimated glomerular filtration rate in adults with diabetic nephropathy. International Journal of Diabetes in Developing Countries. DOI: https://doi.org/10.1007/S13410-023-01283-4

Ebrahim Farrokh | Engineering | Innovative Research Award

Innovative Research Award

Ebrahim Farrokh
Amirkabir University of Technology, Iran

Ebrahim Farrokh
Affiliation Amirkabir University of Technology
Country Iran
Scopus ID 12790914600
Documents 55
Citations 985
h-index 14
Subject Area Engineering
Event Global Innovation Technologist Awards
ORCID 0000-0002-0861-0909

Ebrahim Farrokh is an engineering researcher affiliated with Amirkabir University of Technology, Iran. The available bibliographic profile records 55 documents, 985 citations, and an h-index of 14. His publication record includes research addressing tunnel boring machine (TBM) performance, cutterhead configuration, disc cutter life, and mechanical rock excavation. These topics connect engineering analysis with practical optimization of underground construction systems.

Abstract

The research profile of Ebrahim Farrokh is centered on engineering problems associated with mechanized tunnelling and rock excavation. His documented publications examine TBM cutterhead design, disc cutter durability, operational parameters, and rotary cutting performance. Recent studies extend this work through data-driven assessment and integrated consideration of geological, operational, and machine-related variables. [1] [2]

Keywords

Tunnel boring machines; TBM cutterheads; disc cutters; underground construction; rock excavation; cutter life; rotary cutting; engineering optimization.

Introduction

Mechanized tunnelling requires coordination between geological conditions, machine configuration, cutting tools, and operational parameters. Research in this area can support decisions concerning cutterhead arrangements and tool performance. Farrokh’s listed publications address these engineering relationships through case-specific studies and broader assessment frameworks. [2] [3]

Research Profile

The recorded profile contains 55 documents, 985 citations, and an h-index of 14. Within Engineering, the publication themes represented in the supplied record include TBM performance enhancement, cutterhead modification, disc cutter life, and rotary cutting of granite. These themes indicate a research focus on engineering performance and optimization in excavation systems.

Research Contributions

  • Data-driven evaluation of TBM cutterhead opening-type selection. [1]
  • Integrated assessment of geological, operational, and machine parameters affecting disc cutter life. [2]
  • Assessment of cutterhead modification for EPB-TBM performance enhancement. [3]
  • Investigation of rotary cutting machine performance in Korean granite. [4]

Publications

Selected publications include Insights into cutterhead opening type selection: A data-driven study of TBM industry best practices, published in Tunnelling and Underground Space Technology (2027); Integrated assessment of geological, operational, and machine related parameters for optimization of TBM disc cutter life, in Results in Engineering (2026); EPB-TBM performance enhancement through cutterhead modification in Shiraz Metro Line 3, in Results in Engineering (2026); and A study of rotary cutting machine (RCM) performance on Korean granite, in Engineering Computations (2024). [1] [2] [3] [4]

Research Impact

The supplied bibliometric record reports 985 citations and an h-index of 14, providing quantitative indicators of scholarly visibility. [5] The publication themes also address applied engineering problems relevant to underground infrastructure, particularly TBM operation and cutting-tool performance. The available evidence supports describing the work in terms of documented publication activity and citation impact rather than attributing broader outcomes not established by the supplied records.

Award Suitability

For the Global Innovation Technologist Awards, the documented profile provides identifiable evidence across publication activity, citation metrics, and engineering-focused research. The selected works demonstrate sustained attention to TBM systems, cutterhead design, and excavation performance. These documented characteristics may be considered alongside the award’s applicable evaluation criteria and independently verified bibliographic information.

Conclusion

Ebrahim Farrokh’s supplied academic record presents an engineering research profile focused on mechanized tunnelling and rock excavation technologies. With 55 documents, 985 citations, and an h-index of 14, together with publications on cutterhead configuration, disc cutter life, and rotary cutting, the record provides measurable indicators of research activity and scholarly impact.

References

  1. Farrokh, E. (2027). Insights into cutterhead opening type selection: A data-driven study of TBM industry best practices. Tunnelling and Underground Space Technology.
    https://doi.org/10.1016/j.tust.2026.108139
  2. Farrokh, E. (2026). Integrated assessment of geological, operational, and machine related parameters for optimization of TBM disc cutter life. Results in Engineering.
    https://doi.org/10.1016/j.rineng.2026.112116
  3. Farrokh, E. (2026). EPB-TBM performance enhancement through cutterhead modification in Shiraz Metro Line 3. Results in Engineering.
    https://doi.org/10.1016/j.rineng.2025.108917
  4. Farrokh, E. (2024). A study of rotary cutting machine (RCM) performance on Korean granite. Engineering Computations.
    https://doi.org/10.1108/EC-08-2023-0462
  5. Elsevier. (n.d.). Scopus author details: Ebrahim Farrokh, Author ID 12790914600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=12790914600
  6. ORCID. (n.d.). Ebrahim Farrokh ORCID record.
    https://orcid.org/0000-0002-0861-0909
  7. Global Innovation Technologist Awards. (n.d.). Official award website.
    innovationtechnologist.com

Piotr Kaczmarzyk | Engineering | Innovative Research Award

Innovative Research Award

Piotr Kaczmarzyk
National Research Institute, Józefów, Poland

Piotr Kaczmarzyk
Affiliation National Research Institute, Józefów
Country Poland
Scopus ID 57219448273
Documents 22
Citations 157
h-index 7
Subject Area Engineering
Event Global Innovation Technologist Awards
ORCID 0000-0003-4310-6086

Piotr Kaczmarzyk is a researcher affiliated with the National Research Institute in Józefów, Poland, working within engineering research with a publication record that includes studies of aerodynamics, positive-pressure ventilation, combustion-engine emissions, ultrasonic exhaust treatment, and circular-economy applications. His indexed profile records 22 documents, 157 citations, and an h-index of 7. [1]

Abstract

The research profile represented by Kaczmarzyk focuses on engineering problems involving fluid flow, ventilation performance, combustion emissions, acoustic treatment, and resource reuse. Recent publications examine how enclosure geometry and opening dimensions affect positive-pressure ventilator aerodynamics, how positioning methods influence ventilator effectiveness, and how ultrasonic attenuation parameters can be optimized for reducing exhaust smoke. [2] These studies illustrate an applied engineering approach connecting numerical investigation, experimental considerations, environmental performance, and practical system configuration.

Keywords

  • Aerodynamics
  • Positive-pressure ventilation
  • Combustion engines
  • Exhaust emissions
  • Ultrasonic attenuation
  • Circular economy

Introduction

Engineering research on ventilation and combustion systems increasingly addresses performance under realistic operating configurations. Positive-pressure ventilators, for example, depend on geometric and positioning parameters that can alter airflow behavior. Research published in Applied Sciences and Scientific Reports during 2026 examines these relationships using numerical and applied approaches. [3] Related work considers emissions mitigation and the environmental implications of reusing powertrain components.

Research Profile

The documented profile combines mechanical and environmental engineering themes. Bibliometric information identifies 22 Scopus-indexed documents, 157 citations, and an h-index of 7. [1] The publication portfolio shows continuity across ventilation aerodynamics, internal-combustion-engine emissions, acoustic exhaust treatment, and circular-economy questions.

Research Contributions

The research contributions include numerical assessment of ventilator enclosure geometry and openings, evaluation of positioning strategies in variable configurations, and optimization of ultrasonic attenuator parameters for exhaust-smoke reduction. [2] Another study addresses the tension between circular-economy reuse of engines from scrapped vehicles and emissions-certification requirements, connecting engineering reuse with regulatory and environmental considerations. [4]

Publications

  • Numerical Analysis of the Effects of Enclosure Geometry and Opening Sizes on the Aerodynamic Performance of Positive-Pressure Ventilators. Applied Sciences, 2026; 16(18):9256. [2]
  • Aerodynamic effectiveness of positioning methods for conventional positive pressure ventilators operating in variable configurations. Scientific Reports, 2026. [3]
  • Ecological Paradox in the Reuse of Internal Combustion Engines from Scrapped Vehicles for Electric Power Generation—Circular Economy Potential Versus Emission Certification Barriers. Sustainability, 2025; 17(23):10435. [4]
  • Optimization of Vertical Ultrasonic Attenuator Parameters for Reducing Exhaust Gas Smoke of Compression–Ignition Engines: Efficient Selection of Emitter Power, Number, and Spacing. Applied Sciences, 2025; 15(14):7870. [5]

Research Impact

The recorded citation count of 157 and h-index of 7 provide quantitative indicators of the visibility of the research within indexed scholarly literature. [1] The cited publication themes also demonstrate relevance to practical engineering challenges, particularly ventilation optimization, emissions reduction, and resource-efficient reuse. These indicators should be interpreted alongside publication quality, methodological rigor, collaboration, and field-specific citation patterns.

Award Suitability

The documented research portfolio provides evidence relevant to an Innovative Research Award within an engineering-focused recognition framework. The combination of aerodynamic modeling, ventilation-system assessment, emissions-control research, and circular-economy analysis offers a multidisciplinary applied-engineering profile. The award consideration can be informed by the documented publications and bibliometric record, while final recognition remains subject to the applicable evaluation criteria of the Global Innovation Technologist Awards.

Conclusion

Piotr Kaczmarzyk’s documented research profile centers on applied engineering problems involving airflow, ventilation, combustion emissions, acoustic treatment, and sustainable reuse. The available publication and bibliometric information establishes a research record with measurable scholarly visibility and several recent contributions addressing practical engineering performance and environmental considerations.

References

  1. Elsevier. (n.d.). Scopus author details: Piotr Kaczmarzyk, Author ID 57219448273. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57219448273
  2. MDPI. (2026). Numerical Analysis of the Effects of Enclosure Geometry and Opening Sizes on the Aerodynamic Performance of Positive-Pressure Ventilators. Applied Sciences, 16(18), 9256.
  3. Nature Portfolio. (2026). Aerodynamic effectiveness of positioning methods for conventional positive pressure ventilators operating in variable configurations. Scientific Reports.
    https://doi.org/10.1038/s41598-026-62907-3
  4. MDPI. (2025). Ecological Paradox in the Reuse of Internal Combustion Engines from Scrapped Vehicles for Electric Power Generation—Circular Economy Potential Versus Emission Certification Barriers. Sustainability, 17(23), 10435.
    https://doi.org/10.3390/su172310435
  5. MDPI. (2025). Optimization of Vertical Ultrasonic Attenuator Parameters for Reducing Exhaust Gas Smoke of Compression–Ignition Engines: Efficient Selection of Emitter Power, Number, and Spacing. Applied Sciences, 15(14), 7870.
    https://doi.org/10.3390/app15147870

Abel Alebachew Belay | Engineering | Innovative Research Award

 

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

Jakob Reinhardt | Engineering | Innovative Research Award

Innovative Research Award

Jakob Reinhardt
Technical University of Munich
Jakob Reinhardt
Affiliation Technical University of Munich
Country Germany
Google Scholar aomsnFcAAAAJ
Documents 19
Citations 168
h-index 7
Subject Area Engineering
Event Global Innovation Technologist Awards
ORCID 0000-0002-7562-4104

Jakob Reinhardt is a researcher affiliated with the Technical University of Munich in Germany, recognized for contributions to engineering and human-robot interaction research. His scholarly work has explored robotic motion strategies, ergonomic evaluation in surgical robotics, and the development of socially aware robot behavior models within collaborative environments. Reinhardt’s publications demonstrate an interdisciplinary approach that integrates robotics, computer-assisted surgery, human factors engineering, and interaction design.[1] His academic profile includes peer-reviewed journal articles, conference contributions, and collaborative research outputs indexed within Scopus and Crossref databases.[2]

Abstract

This article presents a scholarly overview of Jakob Reinhardt and his research contributions in the field of engineering, with particular emphasis on human-robot interaction, robotic behavior analysis, and ergonomics in robotic-assisted procedures. His publications have contributed to understanding adaptive robot motion strategies and user-centered interaction mechanisms within collaborative technological systems. Through peer-reviewed studies and interdisciplinary research outputs, Reinhardt has participated in advancing applied robotics and interaction design methodologies within academic and engineering environments.[3]

Keywords

Human-Robot Interaction, Engineering Research, Robotic Motion Strategies, Surgical Robotics, Interaction Design, Human Factors Engineering, Ergonomic Analysis, Collaborative Robotics, Autonomous Systems, Technical University of Munich.

Introduction

Engineering research increasingly relies on interdisciplinary integration between robotics, cognitive systems, and human-centered design methodologies. Jakob Reinhardt’s work reflects these contemporary developments by focusing on socially adaptive robotic systems and the evaluation of robotic interactions within professional and medical contexts.[4] His research activities have addressed challenges associated with robot motion communication, task urgency perception, and ergonomic performance assessment in robotic-assisted surgical procedures.[5]

The broader significance of Reinhardt’s work lies in its applicability to collaborative robotics, healthcare technologies, and intelligent interaction systems. By integrating behavioral design principles with engineering methodologies, his publications contribute to the refinement of safer and more intuitive human-robot collaboration frameworks.[6]

Research Profile

Jakob Reinhardt has contributed to engineering research through publications focused on robotic systems, interaction strategies, and medical technology evaluation. His affiliation with the Technical University of Munich has provided a platform for interdisciplinary collaboration involving robotics, artificial intelligence, ergonomics, and human-computer interaction studies.[1]

  • Research specialization in human-robot interaction and collaborative robotic behavior.
  • Contributions to ergonomic evaluation methodologies in robotic-assisted surgical environments.
  • Development of motion communication strategies for autonomous mobile robots.
  • Participation in peer-reviewed journal and conference publications within engineering disciplines.

Research Contributions

One of Reinhardt’s recognized studies evaluated surgeon posture during simulated laparoscopic and robotic-assisted cholecystectomy procedures. The research contributed to understanding ergonomic challenges associated with robotic surgical systems and highlighted considerations relevant to occupational health and medical engineering design.[7]

His publication titled Back-off: Evaluation of Robot Motion Strategies to Facilitate Human-Robot Spatial Interaction investigated adaptive motion strategies that allow robots to communicate spatial awareness and collaborative intent more effectively. The findings supported the development of socially responsive robotic systems designed for shared environments.[8]

Reinhardt also contributed to research on hesitant movement gestures for mobile robots, examining how robotic motion influences user interpretation and interaction confidence. The study demonstrated the importance of nonverbal communication mechanisms in robotic navigation and collaborative settings.[9]

Publications

  1. Surgeon posture evaluation during simulated laparoscopic and robotic-assisted cholecystectomy, International Journal of Computer Assisted Radiology and Surgery, 2026.
  2. Back-off: Evaluation of Robot Motion Strategies to Facilitate Human-Robot Spatial Interaction, ACM Transactions on Human-Robot Interaction, 2021.
  3. Design of a hesitant movement gesture for mobile robots, PLOS ONE, 2021.
  4. Investigating Perceived Task Urgency as Justification for Dominant Robot Behaviour, 2020.

Research Impact

The research impact associated with Jakob Reinhardt’s academic profile is reflected through citation activity, interdisciplinary collaboration, and contributions to applied robotics research. His studies have addressed practical engineering problems associated with interaction safety, motion interpretation, and ergonomics in robotic systems.[2]

With a documented Scopus h-index and international publication record, Reinhardt’s work demonstrates scholarly engagement within engineering and robotic interaction communities. The integration of human-centered principles into robotic system design remains a notable characteristic of his research contributions.[3]

Award Suitability

Jakob Reinhardt’s research profile aligns with the objectives commonly associated with innovation and technology-focused academic recognition programs. His contributions to robotics, interaction design, and engineering evaluation methodologies support advancements in collaborative intelligent systems and applied technological research.[6]

The interdisciplinary nature of his work, including applications in healthcare technology and human-robot collaboration, demonstrates relevance to contemporary engineering challenges and innovation-driven scientific initiatives. His publication history and citation record further support recognition within the context of the Global Innovation Technologist Awards.[4]

Conclusion

Jakob Reinhardt has contributed to engineering and robotics research through investigations into human-robot interaction, ergonomic assessment, and socially adaptive robotic systems. His scholarly publications demonstrate a sustained focus on improving collaborative robotic behavior and evaluating the practical implications of robotic technologies within professional and medical environments.[7] The combination of interdisciplinary methodology, peer-reviewed publication activity, and measurable research impact supports his recognition within international academic and technological award platforms.[8]

References

  1. ORCID. (n.d.). Jakob Reinhardt researcher profile. ORCID Registry.
    https://orcid.org/0000-0002-7562-4104
  2. Elsevier. (n.d.). Scopus author details: Jakob Reinhardt, Author ID 57201292569. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57201292569
  3. PLOS ONE. (2021). Design of a hesitant movement gesture for mobile robots.
    https://doi.org/10.1371/journal.pone.0249081
  4. ACM Transactions on Human-Robot Interaction. (2021). Back-off: Evaluation of Robot Motion Strategies to Facilitate Human-Robot Spatial Interaction.
    https://doi.org/10.1145/3418303
  5. Springer. (2020). Investigating Perceived Task Urgency as Justification for Dominant Robot Behaviour.
    https://doi.org/10.1007/978-3-030-50726-8_15
  6. Technical University of Munich. (n.d.). Research affiliation and academic activities.
  7. International Journal of Computer Assisted Radiology and Surgery. (2026). Surgeon posture evaluation during simulated laparoscopic and robotic-assisted cholecystectomy.
    https://doi.org/10.1007/s11548-026-03666-4
  8. Open Science Framework. (2020). Back-off: Evaluation of Robot Motion Strategies to Facilitate Human-Robot Spatial Interaction.
    https://doi.org/10.31234/osf.io/ws2ez
  9. Crossref. (n.d.). Publication indexing and DOI registry records for Jakob Reinhardt.

Shyamal Acharya | Engineering | Research Excellence Award

Mr. Shyamal Acharya | Engineering | Research Excellence Award

Assistant Professor | Chittagong University of Engineering & Technology (CUET) | Bangladesh

Mr. Shyamal Acharya is an accomplished researcher and academic in Civil Engineering with a strong specialization in Water Resources Engineering, combining teaching excellence with applied research and consultancy experience. His scholarly work focuses on sustainable water management, hydrologic alteration, reservoir sedimentation, flood risk assessment, and performance evaluation of urban water supply systems, with particular relevance to the socio-economic and environmental context of Bangladesh. He has contributed peer-reviewed research published by internationally recognized publishers, addressing critical issues such as the impacts of hydraulic infrastructure on river systems and efficiency assessment of public water utilities. His research methodology integrates remote sensing, hydrological modeling, risk assessment frameworks, and institutional performance indicators to support evidence-based policy and engineering decisions. Alongside academic research, he has extensive professional experience in high-impact consultancy projects, including feasibility studies and structural design of port infrastructure, tourism development initiatives, dam stability assessments, and industrial water-related engineering solutions. His involvement in reservoir irrigation feasibility and flood mitigation studies reflects a strong commitment to climate resilience, food security, and sustainable infrastructure development. As an educator and mentor, he actively contributes to capacity building in water resources engineering and civil engineering practice. He is a Life Fellow of a national professional engineering body and maintains strong links with professional and development institutions, enabling effective knowledge transfer between academia, industry, and policy stakeholders. His profile demonstrates sustained contributions to research excellence, practical engineering impact, and national development priorities in water and environmental engineering.

Profile: Scopus

Featured Publications

Acharya, S. (2025). Performance assessment of a public water supply provider in Bangladesh. Urban Water Journal.

Gul Durak | Engineering | Best Research Article Award

Ms. Gul Durak | Engineering | Best Research Article Award

Yildiz Technical University | Turkey

Ms. Gul Durak is an industrial engineering professional with strong applied expertise at the intersection of air cargo logistics, operations management, and cost optimization, developed through extensive practice in a global airline and manufacturing environments. Her professional focus centers on operational efficiency, air cargo logistics systems, cost analysis, and financial decision-support, combining analytical rigor with real-world logistics performance needs. She has built advanced competence in evaluating operation costs, managing logistics workflows, supporting strategic negotiations, and contributing to company-level management decisions within complex, large-scale organizations. Her experience spans air cargo operations, logistics specialization, and engineering roles that emphasize data-driven optimization and performance improvement, supported by quantitative tools and optimization software. In parallel, her research orientation reflects a growing interest in industrial engineering methodologies, logistics finance, and decision-making models that enhance efficiency and sustainability in transportation and supply chain systems. She has contributed to cost optimization initiatives recognized for their impact, demonstrating an ability to translate analytical research into actionable operational improvements. Alongside professional practice, she actively engages with academic and industry communities through invited talks and knowledge-sharing activities, highlighting her commitment to bridging theory and practice. Her skill set includes advanced logistics analytics, negotiation, financial analysis, and operations research tools, complemented by multilingual communication abilities that support international collaboration. Overall, her profile reflects a practitioner-researcher perspective, combining industrial engineering research interests with hands-on expertise in air cargo logistics and cost-focused operational strategy.

Profiles: Scopus | Orcid 

Featured Publication

Durak, G., & Çetin Demirel, N. (2025). Cargo aircraft capacity optimization: A hybrid approach comprising a genetic algorithm and large neighborhood search. Applied Sciences, 15(22), 11988.

Salomon Dominique Edimo Kingue | Engineering | Research Excellence Award

Mr. Salomon Dominique Edimo Kingue | Engineering | Research Excellence Award

State University of Campinas | Brazil

Mr. Salomon Dominique Edimo Kingue is a reservoir engineer and researcher specializing in enhanced oil recovery (EOR), reservoir simulation, and sustainable subsurface energy strategies. His expertise centers on FAWAG/WAG processes, CO₂ storage modeling, and integrated reservoir–production optimization for complex carbonate systems, particularly within Brazilian pre-salt environments. He is highly skilled in using CMG (IMEX, STARS, GEM, CMOST), Petrel, Python, and advanced analytical tools to investigate flow behavior, improve recovery efficiency, and reduce greenhouse gas emissions. His research spans numerical simulation of EOR mechanisms, uncertainty analysis, carbon capture and storage (CCS), fractured-vuggy reservoir upscaling, and evaluation of production potential in hydrocarbon basins. He has co-authored studies on underground LPG storage and reservoir performance prediction, and contributed to interdisciplinary projects involving major industry partners. His work also extends to geological interpretation, multidisciplinary collaboration, and scientific communication through symposiums, poster sessions, and peer-reviewed publications. Salomon combines strong analytical reasoning with leadership, teamwork, and effective communication, reflecting his commitment to innovation-driven reservoir management and the advancement of low-carbon energy solutions.

Profile: Orcid

Featured Publications

Kingue, S. D. E., Akinmuda, O. B., Kuiekem, D., & Djitchouang, G. L. (2025). Assessing the production potential of Niger Delta reservoirs under uncertainty using numerical simulation tools. Petroleum Science and Technology.

Kuiekem, D., Kingue, S. D. E., Boroh, W., Noupa, R. K., Matateyou, J., & Ngounouno, I. (2025). Simulation study of underground LPG storage in a depleted conceptual oil reservoir. Petro Chem Indus Intern, 8(2), 1–14.

Zhiqi Wu | Engineering | Best Researcher Award

Ms. Zhiqi Wu | Engineering | Best Researcher Award

Student at Anhui University of Science and Technology | China

Zhiqi Wu is a Master’s student in Electrical Engineering at Anhui University of Science and Technology, specializing in computer vision applications for intelligent coal gangue detection. His research emphasizes developing lightweight, high-performance models that improve automation and efficiency in mining operations. Zhiqi proposed a novel model integrating multispectral imaging with knowledge distillation, achieving a precision increase of up to 6% while reducing model size by 21.8%, enabling deployment on mobile and edge devices for real-time sorting. This approach advances intelligent coal industry practices by combining computational efficiency with practical industrial applicability. Zhiqi’s work exemplifies the translation of advanced AI techniques into actionable solutions for industrial automation, with a focus on scalability, accuracy, and sustainability. His contributions are recognized in the research community, with 1 citation for his published work, highlighting its impact and relevance. To date, he has contributed to 4 documents in his research portfolio, reflecting his engagement in ongoing innovation and knowledge dissemination. While his h-index currently stands at 1, it represents a promising start in a career dedicated to applied AI in mining technologies. Zhiqi continues to explore methods for optimizing computer vision systems in industrial contexts, advancing automation, operational safety, and resource efficiency. His work bridges theoretical research and practical deployment, positioning him as an emerging researcher making measurable contributions to intelligent mining technologies.

Profile: Scopus

Featured Publications

Yan, P. (2025). Transformer fault diagnosis based on LIF technology and COA-GRU algorithm. Engineering Research Express, 7(2), 25409.

Ashish Ranjan Dash | Engineering | Best Researcher Award

Dr. Ashish Ranjan Dash | Engineering | Best Researcher Award

Associate Professor at Centurion University of Technology and Management | India

Dr. Ashish Ranjan Dash is a highly accomplished academic and researcher in the field of electrical engineering, specializing in power electronics, multilevel inverters, and power quality improvement. With a proven track record in research, teaching, and project leadership, he has significantly contributed to advancements in smart infrastructure, renewable energy systems, and IoT-enabled agricultural automation. He has also played a pivotal role in supervising doctoral students, developing innovative solutions for industrial applications, and leading consultancy projects for technology-driven agriculture and smart systems.

Publication Profile 

Scopus

Google Scholar

Educational Background 

Dr. Dash earned his Ph.D. in Power Electronics from the National Institute of Technology (NIT) Rourkela, focusing on cascaded multilevel inverter-based shunt active filters under varying grid voltage conditions. He also holds an M.Tech. in Power Control and Drives from NIT Rourkela, where his dissertation explored control strategies for grid-connected inverter systems during fault conditions. His academic foundation is further strengthened by a B.Tech. in Electrical Engineering and a Diploma in Electrical Engineering, complemented by a strong record of academic excellence throughout his studies.

Professional Experience 

With over a decade of academic and research experience, Dr. Dash serves as an Associate Professor at Centurion University of Technology and Management, Odisha. His prior roles include research and academic positions in engineering colleges and at the Council of Scientific and Industrial Research. He has held key administrative positions such as Dean and Associate Dean of the School of Engineering and CEO of the Smart Infrastructure Research Center, where he has led interdisciplinary projects integrating IoT, automation, and renewable energy systems.

Research Interests 

His research focuses on power electronics, multilevel inverter design, power quality enhancement, electric vehicle charging infrastructure, smart grid systems, and IoT-enabled automation. He also works extensively on agricultural automation, including polyhouse automation, speed breeding chambers, and plant phenotyping systems. Emerging interests include machine learning applications for plant disease detection, robotics, and smart farming technologies.

Awards and Honors 

Dr. Dash has received multiple accolades, including the Distinguished Achiever Award at the Provost Research Awards and recognition as a session chair at IEEE international conferences. He is the founder of a technology-driven startup and actively engages in professional communities such as the IEEE Power Electronics Society, IEEE Industry Applications Society, and IEEE SIGHT.

Research Skills 

He possesses strong expertise in the design, modeling, and implementation of cascaded multilevel inverters, power quality control algorithms, and renewable energy integration. His skills extend to IoT-based system design, automation technologies, electric vehicle charging systems, and cloud-based agricultural monitoring. He is also an experienced reviewer for several high-impact international journals in power electronics and smart grid applications.

Publications 

A unified control of grid-interactive off-board EV battery charger with improved power quality

Citations: 49

Year: 2022

Reactive power compensation using vehicle-to-grid enabled bidirectional off-board EV battery charger

Citations: 34

Year: 2021

Adaptive LMBP training‐based icosϕ control technique for DSTATCOM

Citations: 33

Year: 2020

Analysis of PI and PR controllers for distributed power generation system under unbalanced grid faults

Citations: 33

Year: 2011

Design and implementation of a cascaded transformer coupled multilevel inverter‐based shunt active filter under different grid voltage conditions

Citations: 24

Year: 2019

Conclusion 

Dr. Ashish Ranjan Dash is a forward-looking researcher and educator whose work bridges advanced power electronics with practical applications in smart infrastructure and agricultural automation. His multidisciplinary expertise, leadership in funded projects, and dedication to mentoring the next generation of engineers make him a valuable contributor to both academia and industry. His continued research promises innovative advancements in electric mobility, renewable energy integration, and intelligent automation systems.