Lucrecia Llerena | Assistive Technologies for the Disabled | Women Researcher Award

Published on by Robotics and Automation

Women Researcher Award

Lucrecia Llerena
Affiliation UTEQ
Country Ecuador
Scopus ID 57191692818
Documents 25
Citations 58
h-index 4
Subject Area Assistive Technologies for the Disabled
Event International Robotics and Automation Awards
ORCID 0000-0002-4562-6723

Lucrecia Llerena - UTEQ

The Women Researcher Award recognizes scholarly contributions and academic engagement in emerging technological and engineering disciplines associated with robotics, automation, and assistive systems. Lucrecia Llerena of UTEQ, Ecuador, has contributed to research activities associated with Assistive Technologies for the Disabled, with scholarly work addressing accessibility-oriented engineering solutions, technological innovation, and inclusive automation methodologies.[1] Her academic profile reflects ongoing participation in interdisciplinary research environments focused on improving human-centered technological applications and assistive systems.[2]

Abstract

This article presents an academic recognition profile of Lucrecia Llerena in relation to the Women Researcher Award associated with the International Robotics and Automation Awards. The profile examines scholarly productivity, citation indicators, thematic specialization, and contributions to Assistive Technologies for the Disabled. The evaluation is based on publicly accessible academic records including indexed publications, citation metrics, institutional affiliations, and interdisciplinary research contributions relevant to inclusive engineering and automation technologies.[1][3]

Keywords

Assistive Technologies; Disability Support Systems; Human-Centered Engineering; Robotics Applications; Inclusive Automation; Rehabilitation Technologies; Intelligent Systems; Accessibility Engineering; Assistive Robotics; Engineering Research

Introduction

Assistive technologies for individuals with disabilities represent an important interdisciplinary field integrating engineering, robotics, computing, and rehabilitation sciences. Advances in this domain contribute to the development of accessible systems designed to improve mobility, communication, interaction, and quality of life for individuals requiring technological support mechanisms.[4]

Academic research in assistive systems increasingly involves the integration of robotics, intelligent automation, wearable technologies, and adaptive computational methods. Lucrecia Llerena has contributed to research activities aligned with these developments through scholarly work associated with inclusive technological applications and engineering-based accessibility solutions.[1]

Research Profile

Lucrecia Llerena is affiliated with UTEQ in Ecuador and maintains a research profile indexed within international scholarly databases. According to available academic records, her profile includes 25 indexed documents, 58 citations, and an h-index of 4, indicating measurable engagement within assistive technology and engineering-oriented research fields.[1]

Her research interests are associated with Assistive Technologies for the Disabled, including accessibility-oriented engineering systems, adaptive interaction technologies, rehabilitation-supportive applications, and intelligent technological environments designed to support inclusive participation and user-centered interaction.[5]

Research Contributions

The scholarly contributions of Lucrecia Llerena are associated with the advancement of assistive technologies and engineering systems supporting individuals with disabilities. Research in this domain commonly integrates robotics, intelligent interfaces, rehabilitation engineering, sensor technologies, and accessibility-focused computational frameworks.[6]

Assistive technologies play an increasingly important role in modern healthcare, educational support systems, and inclusive digital environments. Research contributions within this field are relevant to the development of adaptive robotic assistance systems, wearable support devices, intelligent rehabilitation tools, and accessible interaction technologies.

Publications

The publication profile of Lucrecia Llerena includes scholarly articles and conference papers related to assistive technologies, accessibility engineering, and interdisciplinary automation applications. These publications contribute to the broader academic literature addressing inclusive technological systems and human-centered engineering research.[1]

  • Research publications related to accessibility-oriented technological systems and inclusive engineering methodologies.
  • Conference studies involving assistive devices, intelligent interaction systems, and adaptive technological environments.
  • Interdisciplinary research contributions associated with rehabilitation-supportive technologies and engineering innovation.

The scholarly output associated with these publications demonstrates participation in international discussions concerning assistive systems, accessibility innovation, and human-centered technological development.

Research Impact

Research impact indicators associated with Lucrecia Llerena demonstrate measurable academic visibility within assistive technology and engineering-related research communities. Citation metrics and indexed publication records are commonly utilized to evaluate scholarly dissemination and research influence across interdisciplinary scientific fields.

Her documented publication record and citation activity support the interpretation of sustained academic participation in accessibility-focused engineering research and inclusive technological innovation. Such contributions remain relevant to the broader advancement of assistive systems and rehabilitation-supportive technologies.[1]

Award Suitability

Lucrecia Llerena demonstrates suitability for the Women Researcher Award through her academic engagement, interdisciplinary engineering contributions, and research activities associated with Assistive Technologies for the Disabled. Her scholarly profile aligns with the objectives of the International Robotics and Automation Awards, which recognize innovation, inclusivity, and research excellence within technological and engineering disciplines.[3]

The combination of indexed publications, measurable citation indicators, and thematic relevance within accessibility-focused technological research supports recognition within academic and professional engineering communities. Contributions to assistive systems and inclusive technologies remain increasingly important within contemporary robotics and automation research initiatives.[6]

Conclusion

The academic profile of Lucrecia Llerena reflects sustained engagement in Assistive Technologies for the Disabled and interdisciplinary engineering research. Her publication record, citation indicators, and contributions to inclusive technological systems collectively demonstrate scholarly participation within accessibility-oriented engineering and automation research. The Women Researcher Award profile recognizes these contributions within the broader context of international robotics and assistive technology scholarship.[1][3]

References

  1. Elsevier. (n.d.). Scopus author details: Lucrecia Llerena, Author ID 57191692818. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57191692818
  2. ORCID. (n.d.). ORCID profile of Lucrecia Llerena.
    https://orcid.org/0000-0002-4562-6723
  3. Lucrecia Llerena., & Nancy Rodriguez. (2025). Evaluating the usability of open source software tools in e-learning: a systematic mapping study and case study.
    DOI:     https://link.springer.com/article/10.1007/s40692-025-00360-3
  4. Lucrecia Llerena., & Kevin Ponce. (2025). System for the Generation and Georeferenced Visualization of Agricultural Crop Datasets Using Imagro Hybrid Platform.
    DOI:https://ojs.bonviewpress.com/index.php/AIA/article/view/7140
  5. Lucrecia Llerena., & Kelvin Estrada. (2025). Development of a Web Workf low Tool That Facilitates and Optimizes the Process of Preparing Scientific Articles.
    DOI:     https://ojs.bonviewpress.com/index.php/AIA/article/view/7141
  6. Lucrecia Llerena., & Henry Perez. (2024). Ethical Framework for the Software Development Process: A Systematic Mapping Study.
    DOI: https://link.springer.com/chapter/10.1007/978-3-031-45642-8_14

Jin Ge | Bio-Inspired Robot Design | Innovative Research Award

Published on by Robotics and Automation

Innovative Research Award

Jin Ge
Affiliation Sun Yat-Sen University
Country China
Scopus ID 60398762900
Documents 19
Citations 1,607
h-index 11
Subject Area Bio-Inspired Robot Design
Event International Robotics and Automation Awards
ORCID 0000-0003-2405-4727

Jin Ge
Sun Yat-Sen University

The Innovative Research Award recognizes distinguished scholarly contributions in the field of Bio-Inspired Robot Design and advanced robotics engineering. Jin Ge of Sun Yat-Sen University, China, has established a research profile characterized by scholarly publication output, interdisciplinary robotics innovation, and measurable citation impact within international engineering and automation research communities.[1] His work contributes to the advancement of biologically inspired robotic mechanisms, intelligent robotic structures, and adaptive engineering systems associated with next-generation robotics research.[2]

Abstract

This article presents a scholarly recognition profile of Jin Ge in relation to the Innovative Research Award associated with the International Robotics and Automation Awards. The profile examines research productivity, citation metrics, thematic specialization, and scholarly influence in the domain of Bio-Inspired Robot Design. The evaluation is based on publicly accessible academic indicators including indexed publications, citation records, institutional affiliations, and contributions to robotics-oriented engineering research.[1][3]

Keywords

Bio-Inspired Robot Design; Robotics Engineering; Biomimetic Systems; Intelligent Robotics; Automation Research; Adaptive Mechanisms; Robotic Innovation; Autonomous Systems; Mechanical Intelligence; Engineering Research

Introduction

Bio-inspired robotics represents an interdisciplinary research area that integrates biological principles with engineering methodologies to create adaptive robotic systems capable of efficient movement, environmental interaction, and intelligent behavior. Advances in this field have contributed to the development of soft robotics, biomimetic locomotion systems, and energy-efficient robotic structures inspired by natural organisms.[4]

Jin Ge has contributed to the growing body of research associated with biologically inspired robotic systems and advanced automation technologies. His publication record and citation metrics demonstrate measurable academic engagement and scholarly visibility within robotics and engineering research communities.[1]

Research Profile

Jin Ge is affiliated with Sun Yat-Sen University in China, an institution recognized for scientific and engineering research. According to publicly indexed scholarly databases, his research profile includes 19 indexed documents, 1,607 citations, and an h-index of 11, reflecting substantial citation influence and scholarly engagement within robotics-related fields.[1]

The research specialization of Ge includes bio-inspired robotic systems, biomimetic structural mechanisms, intelligent robotic movement, and engineering applications informed by biological design principles. These areas are increasingly important in the development of adaptive robotic technologies for industrial, medical, and exploratory applications.[5]

Research Contributions

The scholarly contributions of Jin Ge are associated with the advancement of bio-inspired robotic architectures and intelligent engineering systems. Research within this domain commonly involves the study of biological locomotion, flexible mechanical systems, adaptive control methodologies, and robotic efficiency optimization.

Bio-inspired robot design research contributes to emerging technologies including soft robotics, autonomous robotic navigation, micro-robotic systems, and environmentally adaptive machines. The research output associated with Ge demonstrates engagement with interdisciplinary engineering approaches integrating robotics, materials science, and computational intelligence.

Publications

The publication profile of Jin Ge includes scholarly articles and conference contributions addressing biomimetic robotics, intelligent automation systems, and engineering design methodologies. These works contribute to the broader international literature on robotics and adaptive engineering technologies.[1]

  • Research studies involving biomimetic robotic mechanisms and adaptive locomotion systems.
  • Engineering publications related to intelligent robotic structures and biologically inspired system architectures.
  • Conference proceedings associated with robotics innovation, automation technologies, and interdisciplinary engineering applications.

The accumulated citation count associated with these publications reflects continued scholarly engagement and international referencing activity within robotics and automation research communities.

Research Impact

Research impact indicators associated with Jin Ge demonstrate substantial academic visibility in robotics-oriented engineering research. Citation metrics are commonly used to evaluate scholarly dissemination, influence, and interdisciplinary relevance across scientific communities.

The citation count exceeding 1,600 and an h-index of 11 indicate sustained recognition of his scholarly contributions within bio-inspired robotics and intelligent system research. Such metrics support the interpretation of continued engagement with contemporary robotics engineering challenges and innovation-oriented academic activities.[1]

Award Suitability

Jin Ge demonstrates suitability for the Innovative Research Award through documented scholarly output, citation visibility, interdisciplinary robotics contributions, and thematic alignment with Bio-Inspired Robot Design. His research activities correspond with the objectives of the International Robotics and Automation Awards, which recognize innovation, engineering advancement, and impactful academic research.[3]

The combination of research productivity, citation performance, and technological relevance supports recognition within international robotics and engineering communities. Contributions related to adaptive robotic systems and biomimetic engineering continue to influence the development of intelligent automation technologies and robotic innovation frameworks.

Conclusion

The academic profile of Jin Ge reflects sustained scholarly engagement in Bio-Inspired Robot Design and robotics engineering research. His publication record, citation metrics, and interdisciplinary research contributions collectively demonstrate academic influence within robotics and automation scholarship. The Innovative Research Award profile recognizes these contributions within the context of international engineering and intelligent systems research.[1][3]

References

    1. Elsevier. (n.d.). Scopus author details: Jin Ge, Author ID 60398762900. Scopus.
      https://www.scopus.com/authid/detail.uri?authorId=60398762900
    2. ORCID. (n.d.). ORCID profile of Jin Ge.
      https://orcid.org/0000-0003-2405-4727
    3. Jin Ge. (2026). Scalable solution soaking quenching technique unlocks efficient and durable wide bandgap perovskite solar modules,
      https://www.nature.com/articles/s41467-026-69264-9
    4. Jin Ge., Xiang-Ru Liu., & Yihao Yin. (2025). Bistricyclic aromatic enes with fast conformational transition for ultrathin piezochromic films.
      DOI: https://pubs.rsc.org/en/content/articlelanding/2025/cc/d5cc01054c/unauth
    5. Jin Ge., Yan-Na Lu., & Kai Mo. (2025). Engineered zwitterionic hydrogel with extreme environment resilience: High ionic conductivity, subzero tolerance, and potential for multimodal sensing and optical applications across devices.
      DOI: https://www.sciencedirect.com/science/article/abs/pii/S1385894725022120

Dwi Kurnia Basuki | Human Robot Interaction | Excellence in Research Award

Published on by Robotics and Automation

Excellence in Research Award

Dwi Kurnia Basuki
Affiliation Politeknik Elektronika Negeri Surabaya
Country Indonesia
Scopus ID 57193863855
Documents 30
Citations 229
h-index 9
Subject Area Human Robot Interaction
Event International Robotics and Automation Awards
ORCID 0009-0006-0871-6611

Dwi Kurnia Basuki
Politeknik Elektronika Negeri Surabaya

The Excellence in Research Award recognizes notable scholarly contributions in the field of Human Robot Interaction and robotics-oriented interdisciplinary research. Mr. Dwi Kurnia Basuki, affiliated with Politeknik Elektronika Negeri Surabaya, Indonesia, has demonstrated a consistent research profile through indexed publications, citation impact, and contributions to intelligent robotic systems and interaction technologies.[1] His academic work reflects engagement with emerging robotic applications, automation systems, and interactive computational methodologies within applied engineering environments.[2]

Abstract

This article presents an academic recognition profile of Dwi Kurnia Basuki in relation to the Excellence in Research Award associated with the International Robotics and Automation Awards. The profile highlights scholarly productivity, citation metrics, research themes, and professional engagement in Human Robot Interaction and robotics engineering. The evaluation is based on publicly accessible academic indicators including indexed publications, citation records, and institutional affiliation data.[1][3]

Keywords

Human Robot Interaction; Robotics Engineering; Intelligent Systems; Automation Research; Academic Recognition; Robotic Interfaces; Applied Electronics; Interactive Robotics; Automation Technologies; Engineering Research

Introduction

The field of Human Robot Interaction has expanded significantly due to advances in robotics, embedded systems, intelligent interfaces, and machine-assisted interaction technologies. Researchers in this domain contribute to the development of systems capable of supporting collaborative industrial environments, autonomous interaction mechanisms, and adaptive robotic functionalities.[4] Academic recognition awards in robotics and automation commonly evaluate publication consistency, citation influence, innovation potential, and interdisciplinary relevance within global engineering research communities.[5]

Dwi Kurnia Basuki has established a measurable academic profile through research publications indexed in international scholarly databases. His work demonstrates engagement with robotics-oriented applications and engineering technologies associated with interactive systems and automation-based research initiatives.[1]

Research Profile

Dwi Kurnia Basuki is affiliated with Politeknik Elektronika Negeri Surabaya, an Indonesian institution recognized for engineering and applied technology education. His Scopus author profile records 30 indexed documents, 229 citations, and an h-index of 9, indicating sustained research activity and moderate citation visibility within engineering and robotics-related scholarly literature.[1]

Research themes associated with his profile include robotics interaction systems, intelligent automation, embedded electronics, and computational approaches relevant to Human Robot Interaction. Such interdisciplinary integration is increasingly important within modern automation environments where robotic systems require adaptive interaction capabilities and efficient human-machine communication frameworks.

Research Contributions

The scholarly contributions of Dwi Kurnia Basuki reflect involvement in applied robotic systems and interactive engineering technologies. His research activity contributes to broader developments in automation and robotics integration, particularly in areas requiring collaborative communication between intelligent systems and human operators.

Human Robot Interaction research often combines elements of control systems, embedded electronics, sensor integration, machine learning, and user-centered design. Contributions within this field are relevant to industrial robotics, educational robotics, smart manufacturing environments, and assistive automation systems. The publication record associated with Basuki demonstrates continuity within these evolving research directions.

Publications

The publication portfolio of Mr. Dwi Kurnia Basuki includes conference proceedings, engineering journal articles, and applied robotics studies indexed through international databases. These publications collectively address topics relevant to robotic interaction systems, intelligent electronics, and automation technologies.[1]

  • Research publications associated with robotics-enabled intelligent systems and automation frameworks.
  • Engineering studies involving embedded systems and interaction-oriented computational methodologies.
  • Collaborative conference papers related to robotics applications and applied electronics research.

Several publications contribute to the broader engineering literature associated with robotics and intelligent automation applications, supporting citation accumulation and international research visibility.

Research Impact

Research impact indicators associated with Dwi Kurnia Basuki demonstrate measurable academic engagement. Citation metrics and indexed publication records are commonly utilized within international evaluation systems to assess scholarly visibility and research dissemination.

An h-index of 9 indicates that multiple publications have received consistent scholarly citations, reflecting research relevance within engineering and robotics-related communities. Citation activity additionally suggests continued academic referencing by researchers working in adjacent technological and automation disciplines.[1]

Award Suitability

Dwi Kurnia Basuki demonstrates suitability for the Excellence in Research Award through his documented academic contributions, publication continuity, citation performance, and subject relevance within Human Robot Interaction research. The integration of robotics engineering, interactive systems, and automation-oriented methodologies aligns with the thematic objectives of the International Robotics and Automation Awards.[5]

The combination of indexed scholarly output, institutional affiliation, and measurable research indicators supports recognition within academic and professional engineering communities. Such contributions are relevant to the ongoing development of robotics-enabled technologies and interdisciplinary automation research.

Conclusion

The academic profile of Dwi Kurnia Basuki reflects sustained engagement in Human Robot Interaction and robotics-related engineering research. His publication record, citation performance, and institutional contributions collectively demonstrate scholarly activity relevant to automation and intelligent systems research. The Excellence in Research Award profile recognizes these contributions within the broader context of international robotics and automation scholarship.[1][5]

References

    1. Elsevier. (n.d.). Scopus author details: Dwi Kurnia Basuki, Author ID 57193863855. Scopus.
      https://www.scopus.com/authid/detail.uri?authorId=57193863855
    2. ORCID. (n.d.). ORCID profile of Dwi Kurnia Basuki.
      https://orcid.org/0009-0006-0871-6611
    3. International Robotics and Automation Awards. (2026). Award overview and evaluation framework.
      https://roboticsandautomation.org/
    4. Goodrich, M. A., & Schultz, A. C. (2007). Human–robot interaction: A survey. Foundations and Trends in Human–Computer Interaction, 1(3), 203–275.
      DOI: https://doi.org/10.1561/1100000005
    5. IEEE Robotics and Automation Society. (2024). Research and innovation in robotics and automation systems.
      https://www.ieee-ras.org/
    6. Dautenhahn, K. (2007). Socially intelligent robots: Dimensions of human–robot interaction. Philosophical Transactions of the Royal Society B, 362(1480), 679–704.
      DOI: https://doi.org/10.1098/rstb.2006.2004

Yeon-Kug Moon | Artificial Intelligence | Research Excellence Award

Published on by Robotics and Automation

Assoc. Prof. Dr. Yeon-Kug Moon | Artificial Intelligence | Research Excellence Award

Sejong University | South Korea

Yeon-kug Moon is a distinguished researcher and academic specializing in artificial intelligence, affective computing, and multimodal emotion recognition. Currently serving as an Associate Professor in the Department of Artificial Intelligence and Data Science at Sejong University, he has contributed extensively to advanced AI-driven human interaction systems, multimodal large language models, digital twins, and virtual production technologies. With industrial experience at Samsung Electronics and leadership roles in national AI initiatives, his work bridges academic innovation and real-world intelligent systems applications.

Professional Profile 

Education

Dr. Moon earned his Ph.D. in Bio-microsystem Technology from Korea University, where he developed expertise in interdisciplinary AI and intelligent system technologies. He also completed both his Bachelor’s and Master’s degrees in Electronics Engineering from Inha University. His educational background combines electronics, bio-systems, and artificial intelligence, providing a strong foundation for his research in multimodal computing and human-centered AI technologies.

Professional Experience

Throughout his professional career, Dr. Moon has held significant academic and industrial positions in the field of artificial intelligence and data science. He currently serves as an Associate Professor at Sejong University and additionally leads advanced AI initiatives as Director of the KETI Data Convergence Platform Center. Prior to academia, he worked as a Senior Research Engineer at Samsung Electronics, where he contributed to intelligent systems and next-generation technology development. He also leads the HEART Lab as Principal Investigator, focusing on multimodal emotion recognition and human-AI interaction research.

Research Interest

Dr. Moon’s research interests primarily focus on Multimodal Emotion Recognition, Affective Computing, Human-AI Interaction, Multimodal Large Language Models, Digital Twin systems, and Virtual Production technologies. His work integrates graph neural networks, transformers, cross-modal attention mechanisms, and adaptive AI frameworks to improve emotional intelligence in machines and immersive digital environments. Through interdisciplinary research, he aims to develop intelligent systems capable of understanding human emotions, behaviors, and contextual interactions in real-world applications.

Award and Honor

Dr. Moon has received multiple international academic recognitions for his impactful contributions to artificial intelligence and multimodal computing research. Notably, he received the Highly Cited Paper Award in 2025, reflecting the global influence and scholarly impact of his research publications. His innovative contributions in emotion recognition, AI-based interaction systems, and virtual production technologies have also earned him several international academic awards and patents, establishing him as a recognized researcher in the field of advanced AI systems.

Conclusion

With strong academic credentials, extensive industrial experience, and impactful interdisciplinary research contributions, Yeon-kug Moon has established himself as a leading researcher in artificial intelligence and multimodal emotion recognition. His work continues to advance human-centered AI technologies through innovative approaches in affective computing, digital twins, and immersive intelligent systems. Through research excellence, industry collaboration, and technological innovation, he significantly contributes to the future development of intelligent interactive systems and AI-driven applications.

Publications Top Noted

  • Energy-Efficient Optimization-Based and Low-Complexity Learning-Oriented Hybrid Broadband Millimeter-Wave Precoding Designs for Maximizing Spectral Efficiency in Multirelay MIMO–OFDM Networks
    Authors: Not specified
    Year: 2026
    Citation: IEEE Internet of Things Journal
  • A Comprehensive Dataset of Infant Facial Expressions of Pain Intensity
    Authors: Not specified
    Year: 2026
    Citation: PeerJ Computer Science
  • Graph-Based Representation Learning with Beta Uncertainty for Enhanced Multimodal Emotion Recognition
    Authors: Not specified
    Year: 2026
    Citation: IEEE Transactions on Affective Computing
  • Problems with Quality Using the Analytical Hierarchy Approach, Vendors' Perspective on Software Outsourcing Priorities
    Authors: Not specified
    Year: 2026
    Citation: PeerJ Computer Science