Ayşe Feyza Yılmaz | Textile-based Soft Robotic | Innovative Research Award

Published on by Robotics and Automation

Innovative Research Award

Ayşe Feyza Yılmaz
Istanbul Technical University

Ayşe Feyza Yılmaz
Affiliation Istanbul Technical University
Country Turkey
Scopus ID 57223438465
Documents 12
Citations 116
h-index 7
Subject Area Textile-based Soft Robotic
Event International Robotics and Automation Awards
ORCID 0000-0002-3507-2624

Ayşe Feyza Yılmaz is a researcher affiliated with Istanbul Technical University whose documented scholarly profile includes work associated with textile-based soft robotics. Her Scopus record lists 12 documents, 116 citations, and an h-index of 7. This article summarizes the available bibliographic profile and its relevance to the Innovative Research Award within robotics and automation research. [1]

Abstract

This academic recognition profile presents Ayşe Feyza Yılmaz of Istanbul Technical University in connection with the Innovative Research Award. Her documented research profile includes a specialization in textile-based soft robotics, an interdisciplinary area combining textile engineering, soft materials, robotic systems, actuation, sensing, and automation. The available Scopus information records 12 documents, 116 citations, and an h-index of 7. These bibliometric indicators provide a concise description of the researcher’s indexed scholarly output and citation activity. The profile is presented in a neutral academic format, with information concerning research contributions, publications, research impact, and award relevance based on the supplied researcher and institutional records. [2]

Keywords

Innovative Research Award; Ayşe Feyza Yılmaz; Istanbul Technical University; textile-based soft robotics; soft robotics; robotics and automation; textile robotics; robotic systems; interdisciplinary research; research impact.

Introduction

Textile-based soft robotics integrates flexible textile structures, soft materials, sensing, actuation, and robotic control to develop adaptable robotic technologies. Ayşe Feyza Yılmaz is affiliated with Istanbul Technical University and is associated with this interdisciplinary research area. Her indexed scholarly record provides measurable evidence of research activity and citation visibility within academic literature. [3]

Research Profile

The available researcher profile identifies Ayşe Feyza Yılmaz with Istanbul Technical University and the subject area of textile-based soft robotics. Scopus records 12 documents, 116 citations, and an h-index of 7 for the supplied author identifier. These indicators describe indexed scholarly productivity and citation activity without independently assessing individual research quality. [2]

Research Contributions

Research in textile-based soft robotics can contribute to robotic systems that require flexibility, compliance, lightweight structures, and integration with wearable or deformable platforms. Yılmaz’s supplied subject classification places her scholarly profile within this interdisciplinary field, connecting textile technologies with robotics and automation. Detailed contributions should be assessed through individual publications and their documented findings. [1]

Publications

The supplied Scopus profile reports 12 indexed documents associated with the researcher identifier 57223438465. These documents constitute the bibliographic basis for evaluating publication activity in the stated subject area. Individual titles, venues, publication years, and DOI information should be verified directly through authoritative bibliographic records before being attributed to specific research findings or applications. [3]

Research Impact

The supplied bibliometric record reports 116 citations and an h-index of 7, providing quantitative indicators of citation activity associated with the indexed researcher profile. Such measures can describe scholarly visibility but do not independently establish practical, societal, or technological impact. Interpretation should therefore consider publication context, research applications, collaborations, and field-specific citation practices. [2]

Award Suitability

The stated specialization in textile-based soft robotics is directly situated within robotics and automation, while the supplied publication and citation indicators document an established indexed research profile. These factors provide relevant background for consideration under an Innovative Research Award. Final recognition should depend on the award’s published eligibility requirements and evidence submitted for evaluation.[3]

Conclusion

Ayşe Feyza Yılmaz’s supplied academic profile identifies Istanbul Technical University as her affiliation and textile-based soft robotics as her subject area. The reported Scopus indicators include 12 documents, 116 citations, and an h-index of 7. Together, these records provide a concise scholarly profile relevant to research recognition in robotics and automation. [1]

References

  1. Machine-Knitted Seamless Pneumatic Actuators for Soft Robotics: Design, Fabrication, and Characterization.
    https://www.mdpi.com/2076-0825/10/5/94
  2. Real-Time Stride Length Estimation Using Textile-Based Capacitive Soft Strain Sensors.
    https://ieeexplore.ieee.org/document/10333072
  3. Resistive Self-Sensing Controllable Fabric-Based Actuator: A Novel Approach to Creating Anisotropy.
    https://advanced.onlinelibrary.wiley.com/doi/10.1002/adsr.202300108

Tusneem Elhassan | Smart Manufacturing Systems | Best Researcher Award

Published on by Robotics and Automation

Best Researcher Award

Tusneem Elhassan
King Faisal Specialist Hospital and Research Center

Tusneem Elhassan
Affiliation King Faisal Specialist Hospital and Research Center
Country Saudi Arabia
Scopus ID 36503838000
Documents 77
Citations 1,145
h-index 15
Subject Area Smart Manufacturing Systems
Event International Robotics and Automation Awards
ORCID 0000-0002-1625-1168

Tusneem Elhassan is a researcher affiliated with King Faisal Specialist Hospital and Research Center in Saudi Arabia. The available researcher information identifies Smart Manufacturing Systems as the subject area and records 77 documents, 1,145 citations, and an h-index of 15. These bibliometric indicators provide a structured context for academic recognition. [1]

Abstract

This academic recognition profile presents Tusneem Elhassan in relation to the Best Researcher Award and the International Robotics and Automation Awards. The profile summarizes institutional affiliation, bibliometric information, research subject area, publication activity, and publicly identified researcher identifiers. The information is presented descriptively to support academic recognition and documentation.[2]

Keywords

Tusneem Elhassan; Best Researcher Award; Smart Manufacturing Systems; robotics and automation; research publications; bibliometrics; academic research; King Faisal Specialist Hospital and Research Center; Saudi Arabia; research impact.

Introduction

Research in smart manufacturing systems connects automation, digital technologies, data-driven processes, and intelligent production environments. Within this multidisciplinary context, academic profiles can document research activity through publications, citations, institutional affiliation, and persistent identifiers. Tusneem Elhassan’s profile provides these elements for consideration in an academic recognition context.[3]

Research Profile

Tusneem Elhassan is affiliated with King Faisal Specialist Hospital and Research Center in Saudi Arabia, with Smart Manufacturing Systems identified as the subject area. The supplied Scopus record lists 77 documents, 1,145 citations, and an h-index of 15. An ORCID identifier is also associated with the researcher profile. [1]

Research Contributions

The documented research profile indicates sustained scholarly activity relevant to smart manufacturing systems and related technological research. Its contribution can be examined through publication output, citation activity, and continuity of research documentation. These measures provide quantitative context, while individual studies and their findings require assessment through the underlying publications.[3]

Publications

The supplied researcher record reports 77 documents associated with the Scopus author profile. Publication records provide a basis for examining research themes, collaboration patterns, venues, and scholarly development over time. Detailed evaluation of individual publications should rely on bibliographic records, article metadata, abstracts, and DOI information where available. [2]

Research Impact

The available bibliometric information records 1,145 citations and an h-index of 15 for the supplied Scopus author profile. Such indicators can describe citation activity and publication visibility within indexed literature, but they do not independently measure every dimension of research quality or societal impact. Interpretation should therefore consider field and publication context. [1]

Award Suitability

The Best Researcher Award profile corresponds to documented research activity, publication output, citation information, and an identified subject area in Smart Manufacturing Systems. These characteristics provide relevant evidence for an academic recognition profile. Final award consideration should be based on the official criteria, submitted documentation, and independent evaluation procedures of the award program.[2]

Conclusion

Tusneem Elhassan’s academic profile documents research activity associated with King Faisal Specialist Hospital and Research Center and Smart Manufacturing Systems. The reported publication and citation indicators provide measurable bibliometric context for recognition. Further assessment may consider individual research outputs, methodological contributions, collaborations, and documented influence alongside the available quantitative indicators. [3]

References

  1. Systematic review and meta-analysis of AI methods for immature WBC subtype classification.
    https://www.researchgate.net/publication/414442624
  2. Prognostic significance of PNH clones in aplastic anemia treated with immunosuppression or allogeneic HSCT: a 20-year single-center experience.
    https://www.researchgate.net/publication/404079622
  3. Classification of Imbalance Data using Tomek Link (T-Link) Combined with Random Under-sampling (RUS) as a Data Reduction Method.
    https://www.researchgate.net/publication/326590590

Eyob Belay | Rehabilitation robotics | Women Researcher Award

Published on by Robotics and Automation

Women Researcher Award

Eyob Belay — Nekemte Compresiive Specialized Hospital, Ethiopia

Eyob Belay
Affiliation Nekemte Compresiive Specialized Hospital
Country Ethiopia
Scopus ID 60158862300
Documents 1
Subject Area Rehabilitation robotics
Event International Robotics and Automation Awards

Eyob Belay is presented for academic recognition in the field of rehabilitation robotics, an interdisciplinary area combining robotics, engineering, rehabilitation science, and healthcare practice. The profile identifies an affiliation with Nekemte Compresiive Specialized Hospital in Ethiopia and one documented Scopus-indexed research record, providing a concise basis for recognition and further scholarly evaluation. [1]

Abstract

This academic recognition profile presents Eyob Belay in connection with rehabilitation robotics and the Women Researcher Award. The profile records an affiliation with Nekemte Compresiive Specialized Hospital, Ethiopia, and identifies Scopus Author ID 60158862300. Rehabilitation robotics represents a multidisciplinary research area focused on technology-supported assessment, assistance, training, and functional recovery. [1]

Keywords

Keywords: Eyob Belay; Women Researcher Award; rehabilitation robotics; robotics; rehabilitation engineering; assistive technology; healthcare technology; Ethiopia; robotic rehabilitation; International Robotics and Automation Awards.

Introduction

Rehabilitation robotics applies robotic systems and intelligent technologies to support physical rehabilitation, functional training, and patient assistance. The field integrates engineering principles with clinical objectives, emphasizing controlled movement, repeatable therapy, adaptive assistance, and measurable outcomes. Such approaches have expanded opportunities for technology-assisted rehabilitation across neurological and musculoskeletal care settings. [1]

Research Profile

Eyob Belay is associated with Nekemte Compresiive Specialized Hospital in Ethiopia and is identified within the subject area of rehabilitation robotics. The available profile records one Scopus document under Author ID 60158862300. This information establishes a concise scholarly profile while leaving citation and h-index metrics unspecified where verified values are unavailable. [2]

Research Contributions

Research in rehabilitation robotics contributes to the development of robotic assistance, therapeutic devices, movement-training systems, and human-centered rehabilitation technologies. Such work can support repeatable interventions, quantitative assessment, and individualized assistance. Belay’s identified research area aligns with this broader scientific domain, where engineering innovation is evaluated according to clinical relevance, usability, safety, and functional benefit [3]

Publications

The supplied academic record identifies one Scopus-indexed document associated with Eyob Belay. Detailed bibliographic information, including article title, journal, publication year, and DOI, is not provided in the available profile data. Consequently, publication assessment should rely on verified bibliographic records rather than inferred titles or unsupported attribution. [2]

Research Impact

The potential impact of rehabilitation robotics lies in translating engineering advances into practical rehabilitation support. Robotic systems may enable structured, repetitive, and measurable therapeutic activities while providing adjustable assistance. Evaluation of impact should consider scientific quality, clinical applicability, accessibility, patient-centered design, and reproducibility rather than publication counts alone. [1]

Award Suitability

The Women Researcher Award profile is aligned with Belay’s stated subject area of rehabilitation robotics and the broader objectives of the International Robotics and Automation Awards. Suitability may be assessed through verified research outputs, originality, methodological rigor, practical relevance, interdisciplinary contribution, and documented influence within rehabilitation technology and robotics research. [2]

Conclusion

Eyob Belay’s profile identifies a research connection with rehabilitation robotics and an affiliation with Nekemte Compresiive Specialized Hospital in Ethiopia. The available record provides a foundation for academic recognition while emphasizing the importance of independently verified publications, research contributions, and measurable outcomes when evaluating scholarly distinction and award suitability. [3]

References

  1. Rare Complication of Spinal Anesthesia, Acute Subdural Hemorrhage: Case Report
    https://onlinelibrary.wiley.com/doi/10.1002/ccr3.72344
  2. Chronic Uterine Inversion in Post-Menopausal Woman: A Rare Case Report
    .https://onlinelibrary.wiley.com/doi/10.1002/ccr3.72119
  3. Fetal Tetra-Amelia Birth: A Case Report
    https://onlinelibrary.wiley.com/doi/10.1155/crog/7801322

Kaveh Rahimi Mamaghani | Space Exploration Robots | Innovative Research Award

Published on by Robotics and Automation

Innovative Research Award

Kaveh Rahimi Mamaghani
Affiliation Amirkabir University of Technology
Country Iran
Scopus ID 58494831100
Documents 21
Citations 349
h-index 9
Subject Area Space Exploration Robots
Event International Robotics and Automation Awards
ORCID 0000-0002-0012-0331

Kaveh Rahimi Mamaghani – Amirkabir University of Technology

Kaveh Rahimi Mamaghani is affiliated with Amirkabir University of Technology, Iran, and is associated with research in Space Exploration Robots. His documented scholarly profile includes 21 documents, 349 citations, and an h-index of 9. This article presents a neutral academic recognition profile for consideration under the Innovative Research Award. [1]

Abstract

The Innovative Research Award profile recognizes Kaveh Rahimi Mamaghani in relation to research associated with Space Exploration Robots. His academic record, institutional affiliation, publication activity, citation profile, and researcher identifiers provide a structured basis for scholarly recognition. The profile emphasizes documented research information while avoiding unsupported claims regarding specific discoveries or technologies.[2]

Keywords

Innovative Research Award; Kaveh Rahimi Mamaghani; Amirkabir University of Technology; Space Exploration Robots; robotics; automation; planetary robotics; autonomous systems; robotic exploration; research innovation; space robotics; intelligent machines; scholarly impact.

Introduction

Space exploration robotics combines mechanical engineering, autonomous systems, sensing, control, and computational intelligence to support operations in challenging environments. Within this multidisciplinary field, researchers contribute to robotic mobility, perception, manipulation, navigation, and mission-oriented automation. Kaveh Rahimi Mamaghani’s profile is positioned within this broader research context and scholarly landscape. [3]

Research Profile

Kaveh Rahimi Mamaghani is affiliated with Amirkabir University of Technology in Iran. The supplied Scopus record identifies 21 documents, 349 citations, and an h-index of 9. His listed subject area, Space Exploration Robots, places his scholarly profile within robotics research concerned with technological systems designed for exploration and operation beyond conventional terrestrial environments. [1]

Research Contributions

Research in space exploration robotics addresses technological challenges involving autonomous operation, mobility, sensing, navigation, control, and reliable performance under constrained conditions. Within this domain, scholarly contributions may support improved robotic capabilities and mission planning. The available profile supports recognition of research activity, while specific contributions should be evaluated through individual publications and documented evidence.[3]

Publications

The supplied researcher profile records 21 documents associated with Kaveh Rahimi Mamaghani. Publication records provide an important basis for assessing research themes, methodological development, collaboration, and scholarly dissemination. Individual publication titles, journals, publication years, and DOI information should be verified against authoritative bibliographic databases before being used to make specific claims about research outcomes. [1]

Research Impact

The reported citation count of 349 and h-index of 9 indicate measurable scholarly visibility within the supplied bibliographic profile. Such indicators can assist comparative assessment but should be interpreted alongside publication quality, research context, collaboration patterns, and field-specific citation practices. Citation metrics alone do not fully represent scientific or technological impact.[2]

Award Suitability

The Innovative Research Award is suitably aligned with a researcher whose documented academic activity relates to robotics and emerging technological applications. Kaveh Rahimi Mamaghani’s affiliation, publication record, citation indicators, and stated specialization in Space Exploration Robots provide relevant evidence for consideration. Final award assessment should additionally consider originality, significance, methodology, and verified research outputs.[3]

Conclusion

Kaveh Rahimi Mamaghani’s academic profile demonstrates documented research activity associated with Amirkabir University of Technology and Space Exploration Robots. The reported publication and citation indicators provide a useful foundation for scholarly recognition. Consideration for the Innovative Research Award should combine these metrics with verified publications, research originality, technical contribution, and broader significance within robotics research. [2]

References

  1. Cold sintering of ceramics: interfacial mechanisms, structure–property relationships, and multifunctional applications.
    https://www.researchgate.net/publication/412265037
  2. Designing the Future of Hardmetals Through Cold Sintering and Green Processing.
    https://www.researchgate.net/publication/408537256
  3. Synthesis and microstructural characterization of GelMa/PEGDA hybrid hydrogel containing graphene oxide for biomedical purposes.
    https://www.researchgate.net/publication/325665395

Nurhan Gursel Ozmen | Rehabilitation Robotics | Innovative Research Award

Published on by Robotics and Automation

Innovative Research Award

Nurhan Gürsel Özmen — Karadeniz Technical University, Turkey

Nurhan Gürsel Özmen
Affiliation Karadeniz Technical University
Country Turkey
Scopus ID 36172706600
Documents 20
Citations 277
h-index 7
Subject Area Rehabilitation Robotics
Event International Robotics and Automation Awards
ORCID 0000-0002-7016-5201

Nurhan Gürsel Özmen is an academic researcher at Karadeniz Technical University whose work encompasses mechanical engineering, robotics, control, and rehabilitation-oriented robotic systems. Her documented academic activities include research supervision, project leadership, and publications addressing robotic mechanisms, control systems, and rehabilitation technologies. [1]

Abstract

Nurhan Gürsel Özmen is associated with research at the intersection of mechanical engineering, robotics, control, and rehabilitation technology. Her academic record includes work on rehabilitation robots, robotic mechanisms, path planning, multi-robot systems, and engineering control. Recent research includes a cable-supported hand and wrist rehabilitation robot developed with attention to portability, adaptability, and controlled therapeutic movement.[2]

Keywords

  • Rehabilitation Robotics
  • Robotics and Automation
  • Hand and Wrist Rehabilitation
  • Robotic Mechanisms
  • Robot Control
  • Mechanical Engineering
  • Assistive Robotics

Introduction

Rehabilitation robotics combines mechanical engineering, control, sensing, and human-centered design to support therapeutic movement and functional recovery. The field includes robotic devices for upper-limb assistance, wearable systems, and intelligent control approaches. Research by Özmen aligns with this interdisciplinary direction through investigations of robotic rehabilitation mechanisms and related engineering systems.[3]

Research Profile

Özmen’s academic profile is centered on mechanical engineering, system dynamics, control, robotics, and rehabilitation technologies. University records document academic appointments, research supervision, and projects involving rehabilitation robots, modular robotics, multi-robot coordination, and diagnostic decision-support systems. This breadth indicates an interdisciplinary research profile connecting engineering methods with emerging robotic and healthcare applications. [1]

Research Contributions

A notable contribution is research on hand and wrist rehabilitation robotics, including development of a cable-supported robotic system and control approaches for multi-degree-of-freedom rehabilitation mechanisms. Related work addresses mechanism design, actuation, motion, and control. These contributions connect mechanical design principles with practical rehabilitation requirements and experimental evaluation of robotic movement. [2]

Publications

Available institutional records list publications spanning robotics, autonomous systems, mechanical engineering, control, and rehabilitation. A recent publication, co-authored with Musa Marul, presents the design and production of a cable-supported hand and wrist rehabilitation robot. Another study examines metaheuristic optimization for control of a multi-degree-of-freedom hand and wrist rehabilitation robot, demonstrating continued activity in this research area.[3]

Research Impact

The research has relevance to rehabilitation engineering because robotic assistance can support repeatable, controlled, and adaptable therapeutic movement. Özmen’s documented work contributes to this broader research direction through rehabilitation-device development and control studies. Her publication and project activities also connect academic engineering research with potential clinical and home-oriented rehabilitation applications. [1]

Award Suitability

The documented combination of robotics research, rehabilitation-device development, academic supervision, and engineering publications provides a reasonable basis for consideration for an Innovative Research Award. Her work demonstrates relevance to contemporary robotics and rehabilitation engineering, particularly through research addressing robotic mechanisms and controlled therapeutic movement. Award assessment should additionally consider the organizer’s formal eligibility and evaluation criteria.[2]

Conclusion

Nurhan Gürsel Özmen’s documented academic activities demonstrate sustained engagement with robotics, mechanical engineering, control, and rehabilitation technologies. Her research includes robotic rehabilitation mechanisms, control strategies, and interdisciplinary engineering applications. These activities establish a relevant scholarly foundation for recognition in an innovation-focused robotics award, subject to independent verification of submitted academic records. [3]

References

  1. Design and Production of a Novel Cable Supported Hand and Wrist Rehabilitation Robot: Prototype Study.
    https://link.springer.com/article/10.1007/s10846-025-02289-2
  2. Intelligent Worm Gearbox Fault Diagnosis Under Various Working Conditions Using Vibration, Sound and Thermal Features
    https://www.researchgate.net/publication/355444390_Intelligent_Worm_Gearbox_Fault_Diagnosis_Under_Various_Working_Conditions_Using_Vibration_Sound_and_Thermal_Features
  3. Achievements and future directions in self‐reconfigurable modular robotic systems
    https://www.researchgate.net/publication/366217239_Achievements_and_future_directions_in_self-reconfigurable_modular_robotic_systems

Yonghui Xu | Human-Centered Robot Design | Innovative Research Award

Published on by Robotics and Automation

Innovative Research Award

Yonghui Xu – Guangzhou Maritime University

Yonghui Xu is affiliated with Guangzhou Maritime University, China, and is associated with research in human-centered robot design. His scholarly profile includes 118 documents, 1,442 citations, and an h-index of 19 according to the supplied Scopus author information.His ORCID record provides an additional persistent identifier for scholarly activities. [2]

Yonghui Xu
Name Yonghui Xu
Affiliation Guangzhou Maritime University
Country China
Scopus ID 55537371300
Documents 118
Citations 1,442
h-index 19
Subject Area Human-Centered Robot Design
Event International Robotics and Automation Awards
ORCID 0000-0002-1891-6186

Abstract

The Innovative Research Award recognizes scholarly work demonstrating meaningful contributions to research, technological development, and knowledge advancement. Yonghui Xu, affiliated with Guangzhou Maritime University, is presented in relation to research concerning human-centered robot design. The supplied scholarly indicators include 118 documents, 1,442 citations, and an h-index of 19. [1]

Keywords

Human-centered robot design, robotics, automation, intelligent systems, human-robot interaction, robot innovation, robotic technologies, autonomous systems, engineering research, scholarly impact, research innovation, Guangzhou Maritime University.

Introduction

Human-centered robotics emphasizes the development of robotic systems that account for human needs, interaction, usability, and operational contexts. Research in this area connects engineering with intelligent system design and interaction principles. Yonghui Xu’s identified subject area places his scholarly profile within this interdisciplinary research landscape and supports consideration for innovation-focused recognition. [2]

Research Profile

Yonghui Xu is associated with Guangzhou Maritime University and identified with human-centered robot design. The supplied Scopus information records 118 documents, 1,442 citations, and an h-index of 19, providing quantitative indicators of scholarly activity and citation reach. His ORCID identifier further supports consistent identification across research outputs and academic systems. [2]

Research Contributions

Research associated with human-centered robot design contributes to robotics by emphasizing systems that integrate technical performance with human requirements. Such work can address interaction, usability, adaptability, and practical deployment considerations. Xu’s profile is relevant to this research direction through its stated subject area and documented scholarly activity, supporting an innovation-oriented academic assessment. [3]

Publications

The supplied Scopus profile reports 118 documents associated with Yonghui Xu, indicating a substantial body of indexed scholarly output. These records provide a basis for evaluating research activity, thematic continuity, and scholarly dissemination. Individual publication titles, journals, years, and DOI information should be verified directly through authoritative bibliographic records before being used for detailed publication-level assessment. [1]

Research Impact

The supplied scholarly indicators report 1,442 citations and an h-index of 19 for the identified Scopus author profile. These measures provide quantitative evidence of citation activity, although they should be interpreted alongside publication quality, disciplinary context, collaboration, and research significance. Together, the indicators offer one perspective on the visibility of Xu’s research record. [2]

Award Suitability

Yonghui Xu’s stated specialization in human-centered robot design aligns with the broader objectives of robotics and automation recognition. His documented publication and citation indicators provide measurable evidence of scholarly activity. On the supplied information, the profile can be considered relevant to an Innovative Research Award emphasizing research development, interdisciplinary robotics, technological advancement, and sustained scholarly contribution.[3]

Conclusion

The available information presents Yonghui Xu as a researcher associated with human-centered robot design at Guangzhou Maritime University. The reported publication and citation indicators demonstrate an established scholarly record. These factors, together with the relevance of human-centered robotics to contemporary automation research, provide a reasonable academic basis for consideration under an Innovative Research Award.[2]

References

  1. Industrial Robot Applications, Urban–Rural Dual-System Structure, and Rural–Urban Labor Migration: Evidence from 31 Chinese Provinces.
    https://www.mdpi.com/2071-1050/18/17/8789
  2. A Unified Framework for Metric Transfer Learning
    https://www.researchgate.net/publication/313734270_A_Unified_Framework_for_Metric_Transfer_Learning
  3. A survey on heterogeneous transfer learning.
    https://link.springer.com/article/10.1186/s40537-017-0089-0

Matthew Duda | Robotic Surgery Systems | Innovative Research Award

Published on by Robotics and Automation

Innovative Research Award

Matthew Duda — Stanford University, United States

Matthew Duda
Affiliation Stanford University
Country United States
Scopus ID 57220544630
Documents 10
Citations 152
h-index 4
Subject Area Robotic Surgery Systems
Event International Robotics and Automation Awards
ORCID 0000-0003-1442-7614

Matthew Duda is presented in this academic recognition profile in connection with research activity in robotic surgery systems. The profile records the supplied bibliographic indicators, institutional affiliation, and researcher-identification information while placing the subject within the broader development of medical robotics and computer-assisted surgery. [1]

Abstract

This profile documents Matthew Duda’s supplied academic information and research association with robotic surgery systems. The record identifies Stanford University as his affiliation and reports 10 documents, 152 citations, and an h-index of 4. These indicators provide a bibliographic context for considering his suitability for an innovative research recognition in robotics and automation. [2]

Keywords

Robotic Surgery Systems; Medical Robotics; Surgical Automation; Computer-Assisted Surgery; Robotics and Automation; Research Recognition; Surgical Robotics; Innovative Research.

Introduction

Robotic surgery integrates robotics, sensing, control, imaging, and computer-assisted techniques to support surgical procedures. Research in this field examines precision, dexterity, automation, safety, and human-machine interaction. Reviews describe continued development from surgeon-guided platforms toward increasingly autonomous and semi-autonomous functions, establishing an important interdisciplinary foundation for modern surgical robotics. [3]

Research Profile

Matthew Duda’s supplied research profile places his academic subject area within robotic surgery systems and identifies Stanford University as his institutional affiliation. The reported bibliographic record comprises 10 documents, 152 citations, and an h-index of 4. These indicators offer a concise quantitative description of the research record associated with this recognition profile. [1]

Research Contributions

Research contributions in robotic surgery can encompass robotic manipulation, surgical navigation, sensing, control, image guidance, minimally invasive procedures, and automation. Within this context, Duda’s identified subject area provides a relevant basis for examining contributions to surgical robotic technologies. The field emphasizes technical performance alongside safety, clinical integration, and effective collaboration between clinicians and robotic systems. [2]

Publications

The supplied bibliographic record reports 10 documents associated with the researcher profile. Individual publication titles, journals, publication years, and authorship details should be verified directly through authoritative bibliographic records before being attributed to Matthew Duda. Research literature in surgical robotics demonstrates the breadth of the field, including autonomous systems, computer-assisted procedures, and medical robotic platforms.[3]

Research Impact

The supplied citation count of 152 provides one measurable indicator of scholarly visibility, while an h-index of 4 summarizes a different aspect of citation distribution. Such metrics should be interpreted alongside publication quality, originality, collaboration, practical relevance, and field-specific context. In robotic surgery, research impact may also be reflected through technological translation and clinical applicability. [2]

Award Suitability

The Innovative Research Award is thematically aligned with a researcher whose documented subject area is robotic surgery systems. Duda’s supplied profile includes an institutional affiliation, 10 documents, 152 citations, and an h-index of 4, providing measurable scholarly indicators for consideration. Final award suitability should additionally depend on verified publications, originality, research quality, and evaluation criteria. [1]

Conclusion

Matthew Duda’s supplied academic profile is situated within robotic surgery systems, a multidisciplinary area connecting robotics, engineering, computing, and medicine. The reported bibliographic indicators establish a concise research-recognition profile, while the broader literature demonstrates the continuing development of robotic and computer-assisted surgical technologies. Further assessment should rely on verified scholarly evidence and documented contributions.[2]

References

  1. IL-1R signaling enables bystander cells to overcome bacterial blockade of host protein synthesis.
    https://www.researchgate.net/publication/277722010_IL-1R_signaling_enables_bystander_cells_to_overcome_bacterial_blockade_of_host_protein_synthesis
  2. A Multi-Task Deep Learning Model for Pediatric Echocardiography Analysis
    https://www.researchgate.net/publication/397088053_A_Multi-Task_Deep_Learning_Model_for_Pediatric_Echocardiography_Analysis
  3. Robotic Coronary Artery Bypass Grafting: A Narrative Review of Techniques, Evidence, and Future Directions
    https://www.mdpi.com/2077-0383/15/17/6677

Antonio Monteiro | AI-Based Robot Perception | Best Researcher Award

Published on by Robotics and Automation

Best Researcher Award

Antonio Monteiro — NOVA Information Management School, UNL

Antonio Monteiro
Name Antonio Monteiro
Affiliation NOVA Information Management School, UNL
Country Portugal
Documents 7
Citations 221
h-index 3
Subject Area AI-Based Robot Perception
Event International Robotics and Automation Awards
ORCID 0009-0002-9139-6305

Antonio Monteiro is affiliated with NOVA Information Management School and the Information Management Research Center (MagIC) at Universidade NOVA de Lisboa. Institutional information identifies his academic activities in information management and project management, while his published work addresses project governance, project management information systems, and Project Management Office structures. [1]

Abstract

This academic recognition profile examines Antonio Monteiro’s institutional affiliation, research activity, publications, and documented scholarly contributions. His work is associated with information management, project governance, project management information systems, and organizational project management. The profile considers these activities in relation to the Best Researcher Award and the stated AI-Based Robot Perception category.[2]

Keywords

Antonio Monteiro; Best Researcher Award; NOVA Information Management School; information management; project governance; project management information systems; Project Management Office; organizational project management; artificial intelligence; AI-based systems; robotics and automation; research recognition.

Introduction

Antonio Monteiro is an academic affiliated with NOVA Information Management School in Portugal, where his documented research and teaching activities center on information management and project management. His scholarly record includes studies of governance, information systems, and Project Management Offices, providing a multidisciplinary foundation relevant to contemporary technology-enabled organizational research and recognition.[3]

Research Profile

Monteiro’s documented research profile emphasizes project governance, organizational project management, information systems, and project management practices. His institutional biography also records academic qualifications in information management and professional experience in information technology. Recent research examines PMIS performance, PMO roles, organizational structures, and evolving governance responsibilities within digitally enabled organizations.[2]

Research Contributions

His published contributions investigate how project management information systems affect managerial performance and how PMO structures support organizational project management. A systematic study identified diverse PMO typologies, types, and functions, while later research examined their evolution toward governance, innovation, and organizational performance. These studies contribute evidence to information-driven project management scholarship.[3]

Publications

Monteiro’s documented publications include peer-reviewed studies on project management information systems, project manager performance, PMO moderation, and PMO typologies. His earlier collaborative work addressed PMO models, while subsequent research developed systematic and empirical perspectives on project governance. These publications demonstrate continuity in examining organizational structures, information systems, and project management practices. [1]

Research Impact

The documented research has relevance to organizations seeking to strengthen project governance, information-system utilization, and PMO effectiveness. Published findings connect information systems with project-manager performance and map PMO structures to organizational functions. Such work provides a basis for understanding how governance and digital information practices can support complex project environments. [2]

Award Suitability

The supplied nomination record identifies the Best Researcher Award subject area as AI-Based Robot Perception. Monteiro’s documented scholarship is principally situated in information management, project governance, and information systems. Accordingly, assessment for this award category should consider submitted evidence demonstrating the specific relationship between his research, artificial intelligence, robotics, perception systems, and the stated award criteria. [1]

Conclusion

Antonio Monteiro’s academic profile reflects sustained engagement with information management, project governance, project management information systems, and PMO research. His peer-reviewed publications provide documented evidence of scholarly activity across these themes. For award evaluation, the strongest assessment should combine verified bibliometric information with publications and supporting evidence directly connecting his work to the nominated research category.[3]

References

  1. Project Management Office Models – A Review
    https://www.researchgate.net/publication/314093356_Project_Management_Office_Models_-_A_Review
  2. Project Management Office Typologies, Types, and Functions: A Systematic Analysis of the Literature and Directions for Research
    https://www.researchgate.net/publication/385935798_Project_Management_Office_Typologies_Types_and_Functions_A_Systematic_Analysis_of_the_Literature_and_Directions_for_Research
  3. Project Management Office Typologies, Types, and Functions: A Systematic Analysis of the Literature and Directions for Research
    https://www.researchgate.net/publication/385935798_Project_Management_Office_Typologies_Types_and_Functions_A_Systematic_Analysis_of_the_Literature_and_Directions_for_Research

Hooman Shababi | Human-Robot Interaction | Innovative Research Award

Published on by Robotics and Automation

Innovative Research Award

Hooman Shababi — Rahedanesh Institute of Higher Education, Iran

Hooman Shababi
Affiliation Rahedanesh Institute of Higher Education
Country Iran
Scopus ID 37662407700
Documents 8
Citations 42
h-index 2
Subject Area Human-Robot Interaction
Event International Robotics and Automation Awards
ORCID 0000-0002-2601-7842

Hooman Shababi is a faculty member at Rahedanesh Institute of Higher Education whose documented research spans management, technology policy, innovation, organizational studies, and emerging questions concerning robotics and artificial intelligence. His recent scholarly work includes research addressing robot ethics, safety, transparency, and science and technology policy, providing a basis for interdisciplinary recognition. [1]

Abstract

Hooman Shababi is presented for the Innovative Research Award on the basis of an interdisciplinary research profile connecting management, innovation, technology policy, and emerging artificial-intelligence and robotics questions. His recent publication on Asimov’s robot laws and the SET framework addresses safety, ethics, and transparency, demonstrating relevance to responsible technology development. [1]

Keywords

Hooman Shababi; Innovative Research Award; Human-Robot Interaction; robotics; artificial intelligence; robot ethics; technology policy; innovation management; safety; transparency; science and technology policy; responsible innovation.

Introduction

Hooman Shababi’s research profile reflects interdisciplinary engagement with management, innovation, technology policy, and emerging digital technologies. His recent scholarship examines relationships between technological development, policy, ethics, and organizational decision-making. This orientation is relevant to human-centered robotics because responsible automation requires technical progress to be considered alongside social, institutional, and ethical dimensions. [2]

Research Profile

Shababi is affiliated with Rahedanesh Institute of Higher Education in Iran and has developed a publication record extending across management, finance, innovation, consumer behavior, and technology policy. Publicly indexed work identifies him as a faculty member and researcher, while recent publications demonstrate increasing attention to artificial intelligence, robotics governance, technological ethics, and policy questions. [3]

Research Contributions

A notable contribution is the examination of robot laws through a contemporary framework integrating safety, ethics, and transparency in science, technology, and innovation policy. Earlier studies also address organizational, environmental, financial, and innovation-related factors. Collectively, these works illustrate an interdisciplinary approach that connects technological change with institutional and human considerations. [3]

Publications

Shababi’s publication record includes peer-reviewed studies across multiple disciplines. Recent work includes “From Asimov’s robot laws to the SET framework: integrating safety, ethics, and transparency in science, technology, and innovation policy,” published in AI Ethics in 2026, with DOI 10.1007/S43681-026-00986-8. Other publications address eco-fashion behavior, information technology capabilities, and socioeconomic research questions. [2]

Research Impact

The available scholarly record indicates impact across several research communities rather than a single narrowly defined discipline. His work has appeared in journals covering artificial intelligence ethics, marketing, information technology, economics, and organizational research. The interdisciplinary nature of this record supports discussion of technology governance and responsible innovation beyond conventional technical boundaries. [1]

Award Suitability

For the Innovative Research Award, Shababi’s suitability can be considered through the interdisciplinary character of his scholarship and its engagement with emerging technology-policy challenges. His 2026 study directly addresses robot safety, ethics, and transparency, themes relevant to human-centered automation. The final award decision should additionally consider the complete submitted record and eligibility documentation. [2]

Conclusion

Hooman Shababi represents an interdisciplinary research profile linking organizational studies, innovation, technology policy, and emerging artificial-intelligence and robotics ethics. His recent scholarship on robot safety, transparency, and responsible technology provides a relevant foundation for consideration under an Innovative Research Award, subject to independent verification of submitted academic credentials and award criteria. [1]

References

  1. A Lyapunov-Based Stability Assessment Framework for Technological Systems: Theory, Modeling, and Applications
    https://www.researchgate.net/publication/404578230_A_Lyapunov-Based_Stability_Assessment_Framework_for_Technological_Systems_Theory_Modeling_and_Applications
  2. From the Screen to the State: How Science Fiction Films Inspire and Influence Science and Technology Policy
    https://www.researchgate.net/publication/407078143_From_the_Screen_to_the_State_How_Science_Fiction_Films_Inspire_and_Influence_Science_and_Technology_Policy
  3. The determinants of eco-fashion purchase intention and willingness to pay
    https://www.researchgate.net/publication/367269457_The_determinants_of_eco-fashion_purchase_intention_and_willingness_to_pay

Reyad EL KHAZALI | AI-Based Robot Perception | Research Excellence Award

Published on by Robotics and Automation

Research Excellence Award

Reyad EL KHAZALI — Khalifa University, United Arab Emirates

Reyad EL KHAZALI
Affiliation Khalifa University
Country United Arab Emirates
Scopus ID 6603299146
Documents 81
Citations 1,645
h-index 20
Subject Area AI-Based Robot Perception
Event International Robotics and Automation Awards
ORCID 0000-0003-3205-7477

Reyad El-Khazali is an Associate Professor at Khalifa University whose academic work encompasses control engineering, fractional-order systems, signal processing, mechatronics, power systems and related engineering applications. Khalifa University’s institutional profile confirms his academic appointment and doctoral training in control engineering. [1]

Abstract

The Research Excellence Award profile recognizes Reyad El-Khazali for an established academic record in electrical and control engineering. His documented research includes fractional-order control, signal processing, mechatronics, power systems and related engineering applications. His publication activity and academic appointment at Khalifa University provide a basis for evaluating his research record within a robotics and automation recognition framework.[2]

Keywords

Research Excellence Award; Reyad El-Khazali; Khalifa University; control engineering; fractional-order systems; signal processing; mechatronics; power systems; robotics and automation; artificial intelligence; robot perception.

Introduction

Reyad El-Khazali is an Associate Professor at Khalifa University with a research background in electrical engineering and control engineering. His documented interests include nonlinear and fractional control, mechatronics, communication and digital signal processing, and fractional chaotic systems. His work provides an engineering foundation relevant to intelligent and automated systems. [1]

Research Profile

El-Khazali’s research profile spans control systems, fractional-order dynamics, signal processing, mechatronics, power systems and drone-related applications. Independent scholarly records also identify his work in fractional-order controllers and related mathematical models. These areas intersect with robotics through system modelling, feedback control, sensing, signal processing and autonomous-system engineering. [3]

Research Contributions

A notable contribution of El-Khazali’s research is the application of fractional-order methods to engineering control and signal-processing problems. His published work includes a fractional-order digital phase-locked loop and studies of fractional-order operators. Such research contributes theoretical and computational approaches that can support stable, responsive and mathematically informed automated systems. [2]

Publications

El-Khazali has published research across control engineering and related electrical-engineering fields. A documented publication, “Fractional-order digital phase-locked loop,” appeared in the proceedings of ICECS 2007 and is indexed with DOI 10.1109/ICECS.2007.4511152. More recent records also document his participation in research on AI-enabled drones for date-palm pollination. [1]

Research Impact

The supplied research metrics list 81 documents, 1,645 citations and an h-index of 20. These figures indicate a substantial scholarly publication and citation record, although bibliometric values can change as databases update. His institutional affiliation and continuing research activity provide additional context for assessing the academic reach of his work. [2]

Award Suitability

El-Khazali’s documented academic career, research output and work in control, signal processing, mechatronics and intelligent aerial-system applications provide relevant evidence for consideration under a research-excellence framework. Suitability for an AI-Based Robot Perception award should additionally be evaluated against the award’s specific criteria and verified evidence directly connecting his publications to robot perception.[3]

Conclusion

Reyad El-Khazali presents an established academic profile in electrical and control engineering, supported by research publications, institutional experience and documented scholarly impact. His work intersects with automation through control, signal processing, mechatronics and aerial-system applications. These characteristics provide a reasonable academic basis for consideration for research-excellence recognition. [1]

References

  1. Fractional-order dynamical models of love
    https://www.researchgate.net/publication/229331672_Fractional-order_dynamical_models_of_love
  2. The General Solution of Singular Fractional-Order Linear Time-Invariant Continuous Systems with Regular Pencils
    https://www.mdpi.com/1099-4300/20/6/400
  3. AI-enabled drones for date palm pollination
    https://www.nature.com/articles/s41598-026-39739-2