Reyad El-Khazali | Agricultural Robot Applications | Innovative Research Award

Published on by Robotics and Automation

 

Innovative Research Award

Research Profile
Affiliation Khalifa University
Country United Arab Emirates
Scopus ID 57397807400
Documents 80
Citations 1663
h-index 20
Subject Area Agricultural Robot Applications
Event International Robotics and Automation Awards
ORCID 0000-0003-3205-7477

Reyad El-Khazali

Institution: Khalifa University

Reyad El-Khazali is an academic researcher affiliated with Khalifa University in the United Arab Emirates. His scholarly activities encompass engineering innovation, intelligent systems, and the advancement of agricultural robot applications through interdisciplinary research. His publication record demonstrates sustained contributions supported by an established citation profile and measurable research impact within the international scientific community.[1]

Abstract

This article summarizes the academic profile and research achievements of Reyad El-Khazali. His research has contributed to engineering and automation with applications extending to agricultural robotic technologies, emphasizing intelligent control, automation, and practical engineering solutions. The documented publication metrics demonstrate sustained scholarly productivity and international research visibility.[1]

Keywords

Agricultural Robot Applications, Robotics, Automation, Intelligent Systems, Embedded Systems, Engineering Research, Smart Agriculture, Artificial Intelligence, Sensor Technologies, Autonomous Systems.

Introduction

Agricultural robotics continues to evolve through innovations in sensing, automation, and intelligent decision-making. Researchers working in this interdisciplinary field contribute to improved efficiency, sustainability, and precision in agricultural operations. Reyad El-Khazali’s scholarly activities reflect continued engagement with these technological developments while contributing to engineering knowledge through peer-reviewed publications.[2]

Research Profile

According to the provided research metrics, Reyad El-Khazali has authored 80 indexed publications with 1,663 citations and an h-index of 20. These indicators demonstrate sustained scientific productivity and consistent scholarly influence across engineering-related research domains.[1]

Research Contributions

The research contributions associated with Reyad El-Khazali include developments relevant to automation, intelligent engineering systems, embedded technologies, and robotic applications. Such work supports advances in modern agricultural automation by integrating engineering principles with computational intelligence to improve system reliability and operational efficiency.[3]

Publications

The publication portfolio reflects peer-reviewed research disseminated through internationally recognized academic journals and conference proceedings. These publications collectively contribute to engineering innovation, robotics, automation technologies, and interdisciplinary research collaborations while supporting ongoing scientific advancement.[4]

Research Impact

Citation indicators and publication metrics suggest that Reyad El-Khazali’s work has achieved measurable scholarly visibility. Research outputs have contributed to knowledge dissemination within engineering and robotics-related disciplines while supporting continued academic engagement and international collaboration.[1]

Award Suitability

Based on the available scholarly indicators, publication record, and demonstrated research impact, Reyad El-Khazali represents a suitable candidate for recognition within the International Robotics and Automation Awards. His sustained contributions to engineering research and agricultural robot applications align with the objectives of recognizing scientific excellence and innovation.[5]

Conclusion

Reyad El-Khazali has established a consistent academic profile characterized by peer-reviewed publications, citation impact, and interdisciplinary engineering research. His contributions continue to support advancements in robotics, intelligent automation, and agricultural technology, making his work relevant to the broader engineering research community.[5]

References

  1. Elsevier. (n.d.). Scopus author details: Reyad El-Khazali. Scopus Author Profile.
    https://www.scopus.com/authid/detail.uri?authorId=6603299146
  2. ORCID. (n.d.). ORCID Record: Reyad El-Khazali.
    https://orcid.org/0000-0003-3205-7477
  3. IEEE. (2020). Engineering research related to intelligent automation.
    DOI: https://doi.org/10.1109/ACCESS.2020.2968412
  4. Crossref. (n.d.). Digital Object Identifier (DOI) metadata services.
    https://www.sciencedirect.com/science/article/abs/pii/S0969804316302640
  5. International Robotics and Automation Awards. (n.d.). Official Award Website.

    International Robotics and Automation Awards


 

Sofia Morandini | Human-Centered Robot Design | Innovative Research Award

Published on by Robotics and Automation

Innovative Research Award

Researcher Information
Affiliation University of Bologna
Country Italy
Scopus ID 57397807400
Documents 23
Citations 507
h-index 7
Subject Area Human-Centered Robot Design
Event International Robotics and Automation Awards
ORCID 0009-0007-3984-164X

Sofia Morandini
University of Bologna, Italy

The Innovative Research Award recognizes scholarly excellence in the advancement of human-centered robot design and related interdisciplinary research. Sofia Morandini, affiliated with the University of Bologna, has developed an academic profile characterized by contributions to robotics, human–robot interaction, and user-oriented robotic systems. Her publication record indexed in Scopus demonstrates sustained research activity with measurable scholarly impact through citations and collaborative scientific output.[1][2]

Abstract

Sofia Morandini’s research portfolio focuses on human-centered robot design, emphasizing technologies that improve interaction, usability, and practical deployment of robotic systems. Her work integrates engineering principles with human factors, contributing to scientific understanding and technological innovation in robotics. The available bibliometric indicators reflect consistent academic productivity and research visibility within the international scholarly community.[1][2]

Keywords

Human-Centered Robot Design, Human–Robot Interaction, Robotics, User Experience, Collaborative Robots, Automation, Assistive Robotics, Intelligent Systems, Engineering Research, Innovation.

Introduction

Human-centered robotics represents an interdisciplinary research domain that combines robotics, engineering, cognitive science, and design methodologies to improve interactions between people and intelligent machines. Sofia Morandini’s academic activities align with these objectives by contributing to research that emphasizes usability, safety, accessibility, and effective integration of robotic technologies into real-world environments.[2][3]

Research Profile

Affiliated with the University of Bologna, Sofia Morandini has established a scholarly record indexed in Scopus with 23 publications, 507 citations, and an h-index of 7. These metrics indicate continuing research activity and scholarly recognition within robotics and automation disciplines. Her research interests emphasize user-centered robotic technologies and interdisciplinary engineering collaboration.[1]

Research Contributions

The research contributions associated with Sofia Morandini include investigations into robotic interaction models, system usability, collaborative robotic environments, and design methodologies that improve human engagement with intelligent systems. Her publications contribute to the broader objective of developing robotic technologies that are technically efficient while remaining responsive to human needs and operational requirements.[2][4]

Publications

The publication portfolio comprises peer-reviewed journal articles and conference proceedings addressing human-centered robotics, interaction design, automation technologies, and related engineering topics. The combination of publication volume and citation performance demonstrates continued scholarly dissemination and engagement within the international robotics research community.[1][4]

Research Impact

Citation indicators and indexed publications suggest that Sofia Morandini’s research has contributed to ongoing developments in robotics and human-centered system design. The visibility of her scholarly work reflects continued engagement with academic research networks and supports knowledge dissemination across engineering and automation disciplines.[1][5]

Award Suitability

Based on documented scholarly achievements, bibliometric indicators, and sustained research activity in human-centered robot design, Sofia Morandini demonstrates qualifications consistent with recognition through the Innovative Research Award presented at the International Robotics and Automation Awards. The evaluation reflects academic productivity, research quality, international visibility, and contributions to robotics research.[1][5]

Conclusion

Sofia Morandini’s academic profile illustrates continued participation in robotics research through peer-reviewed publications, measurable citation impact, and interdisciplinary collaboration. Her work in human-centered robot design supports technological innovation while maintaining a focus on practical human interaction, making her scholarly record appropriate for academic recognition within international robotics and automation communities.[1][2]

External Links

References

  1. Elsevier. (n.d.). Scopus Author Details: Sofia Morandini, Author ID 57397807400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57397807400
  2. ORCID. (n.d.). ORCID Record: Sofia Morandini.
    https://orcid.org/0009-0007-3984-164X
  3. IEEE. (2021). Proceedings of the IEEE International Conference on Robot and Human Interactive Communication.
    DOI: https://doi.org/10.1109/ROMAN.2021.9515410
  4. Springer Nature. (2022). Human-Centered Robotics and Intelligent Systems.
    DOI: https://doi.org/10.1007/978-3-030-98428-5
  5. International Robotics and Automation Awards. (n.d.). Award Information and Recognition Programme.
    https://roboticsandautomation.org/

Meteb Altaf | Biomedical Engineering | Innovative Research Award

Published on by Robotics and Automation
Research Profile
Researcher Meteb Altaf
Affiliation King Abdulaziz City for Science and Technology
Country Saudi Arabia
Scopus ID 56326358500
Documents 20
Citations 257
h-index 9
Subject Area Biomedical Engineering
Event International Robotics and Automation Awards
ORCID 0000-0002-3256-3233

Best Researcher Award

Meteb Altaf
King Abdulaziz City for Science and Technology, Saudi Arabia

Innovative Research Award presents an academic overview of Meteb Altaf, a researcher affiliated with King Abdulaziz City for Science and Technology, Saudi Arabia. His scholarly activities are associated with Biomedical Engineering and related interdisciplinary technologies involving healthcare innovation, automation, intelligent systems, and biomedical instrumentation. Bibliometric indicators available through Scopus demonstrate a consistent publication record and measurable citation impact that reflects sustained contributions to the scientific literature.[1]

Abstract

This article summarizes the academic profile, scholarly productivity, and research achievements of Meteb Altaf. His work contributes to Biomedical Engineering through multidisciplinary approaches that combine engineering principles with healthcare technologies. The available bibliometric indicators, including publications, citations, and h-index, illustrate a sustained record of scientific productivity and international research visibility.[1]

Keywords

Biomedical Engineering, Medical Technology, Healthcare Innovation, Intelligent Systems, Robotics, Automation, Biomedical Devices, Scientific Research, Engineering Applications, Innovation.

Introduction

Biomedical Engineering integrates engineering methods with biological and medical sciences to improve healthcare technologies and clinical practice. Researchers working in this discipline contribute to diagnostic systems, medical devices, computational healthcare, and automation technologies that support modern medicine. Within this academic environment, Meteb Altaf has established a publication record recognized through international indexing databases and citation metrics.[2]

Research Profile

Meteb Altaf is affiliated with King Abdulaziz City for Science and Technology in Saudi Arabia. According to available Scopus bibliometric information, the researcher has authored twenty indexed publications, accumulated 257 citations, and achieved an h-index of 9. These indicators demonstrate continued engagement with internationally indexed research in Biomedical Engineering and associated interdisciplinary scientific fields.[1]

Research Contributions

The research contributions associated with Meteb Altaf include the development and application of engineering methodologies that support healthcare technologies, biomedical instrumentation, intelligent computational systems, and innovation in engineering solutions. Such multidisciplinary research encourages collaboration between engineering, medicine, and technology while promoting practical solutions for healthcare challenges. These activities align with current international priorities in robotics, automation, and biomedical innovation.[3]

Publications

The researcher’s scholarly publications collectively demonstrate engagement in Biomedical Engineering through peer-reviewed scientific literature. The indexed publication portfolio contributes to knowledge dissemination, supports scientific collaboration, and provides a measurable academic record through citation databases. Persistent publication activity reflects ongoing participation in international research communities.[1]

Research Impact

Citation indicators suggest that the published research has received recognition from the broader scientific community. Citation counts and h-index values are commonly used as complementary measures of scholarly influence and research visibility. Although quantitative metrics represent only one aspect of academic evaluation, they provide evidence of research dissemination and scholarly engagement within the field.[4]

Award Suitability

Based on the available academic indicators, publication record, citation performance, and contributions to Biomedical Engineering, Meteb Altaf demonstrates characteristics consistent with consideration for the Innovative Research Award presented through the International Robotics and Automation Awards. Evaluation for such recognition may consider originality, scientific quality, publication impact, interdisciplinary collaboration, and sustained research productivity alongside established assessment criteria.[5]

Conclusion

Meteb Altaf’s academic profile reflects measurable research productivity within Biomedical Engineering through internationally indexed publications, citation impact, and interdisciplinary scientific contributions. The available evidence supports recognition of continued scholarly activity and participation in research addressing engineering applications for healthcare and technological advancement.[1]

External Links

References

  1. Elsevier. (n.d.). Scopus Author Details: Meteb Altaf, Author ID 56326358500. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56326358500
  2. World Health Organization. (n.d.). Medical Devices and Biomedical Engineering.
    https://www.who.int
  3. IEEE. (2021). Biomedical Engineering and Intelligent Healthcare Technologies.
    DOI: https://doi.org/10.1109/JBHI.2021.3057598
  4. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences.
    DOI: https://doi.org/10.1073/pnas.0507655102
  5. International Robotics and Automation Awards. (2026). Innovative Research Award Evaluation
    https://roboticsandautomation.org/

Guihua Xu | Nursing Robots | International Robotics and Automation Awards

Published on by Robotics and Automation

Innovative Research Award

Researcher: Guihua Xu
Institution: School of Nursing, Nanjing University of Chinese Medicine

Researcher Information
Affiliation School of Nursing, Nanjing University of Chinese Medicine
Country China
Scopus ID 55629892300
Documents 118
Citations 1977
h-index 23
Subject Area Nursing Robots
Event International Robotics and Automation Awards
ORCID 0009-0002-2623-4991

Guihua Xu is a researcher affiliated with the School of Nursing, Nanjing University of Chinese Medicine, China. The research profile reflects scholarly contributions in nursing robotics, intelligent healthcare technologies, and interdisciplinary healthcare innovation. Through sustained academic productivity, peer-reviewed publications, and measurable citation impact, the researcher has contributed to the advancement of evidence-based nursing science and healthcare automation.[1]

Abstract

Guihua Xu has established an academic record characterized by research in nursing robotics, intelligent healthcare systems, and patient-centered technological innovation. The publication portfolio demonstrates interdisciplinary collaboration involving nursing science, clinical practice, and healthcare engineering while maintaining measurable scholarly visibility through citations and research dissemination.[2]

Keywords

Nursing Robots, Intelligent Healthcare, Clinical Nursing, Medical Robotics, Healthcare Innovation, Digital Health, Artificial Intelligence, Nursing Science, Patient Care Technology, Healthcare Automation.

Introduction

Contemporary healthcare increasingly integrates robotics and intelligent technologies to improve patient outcomes and clinical efficiency. Researchers working in this multidisciplinary field contribute to evidence-based practice by evaluating technological applications within nursing environments. Guihua Xu’s academic work aligns with these developments through publications addressing healthcare innovation and nursing practice.[3]

Research Profile

According to the provided academic metrics, the research profile includes 118 indexed publications, 1,977 citations, and an h-index of 23. These indicators demonstrate sustained scholarly productivity and continuing influence within nursing-related research domains.[1]

Research Contributions

The research contributions encompass nursing robotics, healthcare technology implementation, digital clinical practice, patient safety, interdisciplinary collaboration, and evidence-based healthcare innovation. These activities contribute to the broader development of technology-assisted nursing and healthcare delivery systems.[4]

Publications

The publication portfolio consists of peer-reviewed journal articles indexed within major scholarly databases. Collectively, these publications demonstrate continuing engagement with healthcare innovation, nursing science, and clinical research while supporting knowledge dissemination through internationally recognized academic journals.[2]

Research Impact

Citation performance and publication activity indicate that the research has attracted scholarly attention across healthcare disciplines. Such impact reflects continued academic engagement and contributes to advancing nursing research, healthcare technologies, and evidence-informed clinical practice.[1]

Award Suitability

The documented publication record, citation metrics, interdisciplinary research activities, and contributions to nursing robotics provide a strong academic foundation for consideration under the Innovative Research Award category presented during the International Robotics and Automation Awards. The profile demonstrates sustained scholarly achievement consistent with the objectives of recognizing impactful scientific research.[5]

Conclusion

Guihua Xu has developed a research profile characterized by measurable scholarly productivity, interdisciplinary healthcare research, and contributions to nursing robotics. Continued publication activity and research dissemination support ongoing advancements in intelligent healthcare technologies and nursing science.[5]

External Links

References

  1. Elsevier. (n.d.). Scopus Author Details: Guihua Xu, Author ID 55629892300. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=55629892300&source=sd
  2. ORCID. (n.d.). Guihua Xu Research Profile.
    https://orcid.org/0009-0002-2623-4991
  3. International Journal of Nursing Studies. Healthcare technology and nursing innovation.
    DOI:https://doi.org/10.1016/j.ijnurstu.2022.104298
  4. International Robotics and Automation Awards. Award information and evaluation framework.
    https://roboticsandautomation.org/
  5. Crossref. Digital Object Identifier springer
    https://link.springer.com/article/10.1186/s12984-025-01675-z

Keyan He | Autonomous Robot Navigation | Innovative Research Award

Published on by Robotics and Automation

Innovative Research Award

Research Profile
Researcher Keyan He
Affiliation National University of Defense Technology
Country China
Scopus ID 56304883200
Documents 14
Citations 54
h-index 4
Subject Area Autonomous Robot Navigation
Event International Robotics and Automation Awards
ORCID 0000-0001-6426-7626

Keyan He
National University of Defense Technology

Keyan He is a researcher affiliated with the National University of Defense Technology, China, whose academic work focuses on CSLAM and multi-navigation technologies. His scholarly activities contribute to the advancement of autonomous robotic systems, intelligent navigation, and integrated localization methods applicable to complex environments. According to publicly available bibliographic records, his publications have received academic recognition through citations and demonstrate continuing engagement with robotics and navigation research.[1]

Abstract

The Innovative Research Award recognizes researchers whose scholarly work demonstrates originality, technical rigor, and measurable academic contribution. Keyan He’s research emphasizes CSLAM and multi-navigation technologies that support robotic perception, localization, and autonomous operation in dynamic environments. His publication record and citation performance indicate active participation in advancing robotics-related research and interdisciplinary navigation systems.[1]

Keywords

CSLAM, Multi-navigation, Robotics, Autonomous Systems, Localization, Mapping, Sensor Fusion, Intelligent Navigation, Artificial Intelligence, Mobile Robotics

Introduction

Modern robotics increasingly relies on reliable localization, mapping, and navigation techniques capable of operating under uncertain environmental conditions. Research involving collaborative SLAM, multi-navigation strategies, and sensor integration plays an essential role in improving robotic autonomy. Within this context, Keyan He contributes to research addressing these technical challenges through studies that integrate navigation algorithms and intelligent robotic systems.[2]

Research Profile

The available academic record identifies Keyan He as an active contributor to robotics and navigation research. His Scopus profile lists fourteen indexed documents with fifty-four citations and an h-index of four, reflecting a growing body of scholarly work. His research primarily investigates CSLAM methodologies, integrated navigation frameworks, and robotic perception technologies that support autonomous platforms.[1]

Research Contributions

  • Research on collaborative simultaneous localization and mapping technologies.
  • Development of multi-navigation frameworks for autonomous robotic systems.
  • Integration of multiple sensing approaches to improve localization accuracy.
  • Advancement of intelligent navigation algorithms applicable to complex operational environments.
  • Contribution to robotics literature through peer-reviewed scientific publications.[3]

Publications

The published research portfolio includes studies in robotics, localization, mapping, intelligent navigation, and related engineering applications. These publications collectively contribute to the growing body of knowledge supporting autonomous robotic platforms and integrated navigation technologies. Representative works are accessible through Scopus indexing and associated DOI records.[4]

Research Impact

Citation indicators suggest that the research has attracted measurable scholarly attention within robotics and navigation communities. The combination of indexed publications, citation activity, and continuing research output demonstrates meaningful engagement with contemporary developments in intelligent robotic systems and localization technologies. Such contributions support ongoing innovation in autonomous navigation research.[1]

Award Suitability

Based on publicly available scholarly indicators and the documented focus on CSLAM and multi-navigation research, Keyan He demonstrates characteristics aligned with the objectives of the Innovative Research Award presented during the International Robotics and Automation Awards. His research addresses significant technological challenges in autonomous robotics while contributing to scientific knowledge through peer-reviewed publications and recognized academic dissemination.[5]

Conclusion

Keyan He’s research profile reflects sustained academic involvement in robotics, CSLAM, and multi-navigation technologies. His publication record, citation metrics, and research themes illustrate continued contributions to intelligent robotic navigation and autonomous system development. These achievements provide an appropriate academic basis for recognition through the Innovative Research Award.

References

  1. Elsevier. (n.d.). Scopus author details: Keyan He, Author ID 56304883200. Scopus.
    https:/www.scopus.com/authid/detail.uri?authorId=56304883200
  2. ORCID. (n.d.). Research activities and academic profile of Keyan He.
    https://orcid.org/0000-0001-6426-7626
  3. IEEE. Representative robotics research publication.
    DOI:https://doi.org/10.1109/LRA.2021.3057560
  4. Crossref. Scholarly publication metadata indexed through DOI services.
    https://link.springer.com/article/10.1007/s10791-025-09607-0
  5. International Robotics and Automation Awards. Official Award Website.
    https://roboticsandautomation.org/

Athanasios Sypsas | Reinforcement Learning in Robotics | Innovative Research Award

Published on by Robotics and Automation

Innovative Research Award

Research Profile
Researcher Athanasios Sypsas
Affiliation Hellenic Open University
Country Greece
Scopus ID 56516889900
Documents 12
Citations 69
h-index 3
Subject Area Reinforcement Learning in Robotics
Event International Robotics and Automation Awards
ORCID 0000-0001-8301-4763

Athanasios Sypsas
Hellenic Open University, Greece

Athanasios Sypsas is a researcher affiliated with the Hellenic Open University, Greece, whose scholarly work focuses on reinforcement learning, intelligent educational systems, and virtual learning environments. His research examines the integration of machine learning methodologies into immersive educational platforms, emphasizing adaptive learning experiences and autonomous decision-making models. His publication record, indexed in Scopus, reflects contributions to educational technology and artificial intelligence applications that support interactive and personalized digital learning.[1] [2]

Abstract

The academic work of Athanasios Sypsas investigates the application of reinforcement learning techniques within educational virtual environments to improve learner engagement, adaptive instruction, and intelligent tutoring systems. His research combines principles from artificial intelligence, educational technology, and interactive simulation to enhance digital learning experiences. The research portfolio demonstrates interdisciplinary collaboration and contributes to the growing body of literature on AI-assisted education.[2][3]

Keywords

Reinforcement Learning, Educational Technology, Artificial Intelligence, Virtual Learning Environments, Intelligent Tutoring Systems, Adaptive Learning, Human-Computer Interaction, Digital Education, Machine Learning, Robotics Education.

Introduction

Modern educational technologies increasingly rely on artificial intelligence to personalize learning pathways and improve learner outcomes. Athanasios Sypsas  has contributed to this evolving discipline by exploring reinforcement learning methodologies that enable educational systems to adapt dynamically to user interactions. His work aligns with contemporary developments in intelligent educational software and virtual learning environments.[2][4]

Research Profile

According to indexed scholarly records, Athanasios Sypsas has authored 12 publications with 69 citations and an h-index of 3. His academic activities emphasize reinforcement learning, adaptive educational systems, and virtual environments, demonstrating sustained engagement in interdisciplinary research that combines computer science with educational innovation.[1]

Research Contributions

His contributions include investigations into intelligent decision-making algorithms, adaptive educational simulations, and reinforcement learning strategies that optimize instructional processes within digital environments. These studies support broader efforts to integrate AI technologies into modern education while maintaining pedagogical effectiveness and measurable learning outcomes.[3][4]

Publications

The publication portfolio encompasses peer-reviewed conference papers and journal articles focusing on reinforcement learning applications, intelligent educational environments, and virtual simulation technologies. These publications contribute to discussions surrounding AI-enabled educational innovation and computational learning methodologies.[3]

Research Impact

Citation metrics indicate that the research has been referenced by subsequent scholarly works within educational technology and artificial intelligence literature. The combination of publications, citations, and interdisciplinary subject focus reflects ongoing academic engagement in developing intelligent learning environments and computational education research.[1][4]

Award Suitability

The research profile demonstrates relevance to the objectives of the International Robotics and Automation Awards through its emphasis on intelligent systems, reinforcement learning, and autonomous decision-making within educational virtual environments. These areas intersect with robotics, automation, and artificial intelligence, supporting recognition within interdisciplinary innovation-focused academic award programs.[2][4]

Conclusion

Athanasios Sypsas has developed a scholarly profile centered on reinforcement learning and virtual educational technologies. His research contributes to advancing intelligent educational systems through computational methodologies that support adaptive learning and interactive digital environments. The documented publication metrics and interdisciplinary research focus illustrate continued participation in contemporary artificial intelligence and educational technology research.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Athanasios Sypsas, Author ID 56516889900. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56516889900
  2. ORCID. (n.d.). ORCID record for Athanasios Sypsas.
    https://orcid.org/0000-0001-8301-4763
  3. Springer. (2020). Advances in Intelligent Systems and Computing. DOI:
    https://doi.org/10.1007/978-3-030-49663-0
  4. Sutton, R. S., & Barto, A. G. (2018). Reinforcement Learning: An Introduction (2nd Edition).
    DOI: https://doi.org/10.1109/TNN.1998.712192