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Xiaoming Sun | Strategic HR Management | Research Excellence Award Published on 22/01/2026 by Human Resources Management Prof. Xiaoming Sun | Strategic HR Management | Research Excellence Award Full Professor | The University of Xi’an University of Architecture and Technology | China Xiaoming Sun is a prominent scholar in innovation management, knowledge management, and dynamic network analysis. His research advances theoretical and empirical understanding of how innovation networks evolve and how structural holes, brokerage roles, and network embeddedness shape creativity, knowledge diffusion, and technological breakthroughs. A central contribution of his work lies in applying large-scale patent and bibliometric data to analyze inventor behavior, intellectual property value, and innovation performance across organizational and inter-organizational contexts. His studies integrate complex network theory, computational modeling, and empirical analysis to inform innovation strategy and policy. The findings are widely recognized in both international and Chinese academic communities and provide actionable insights for technology management and R&D governance. Overall, he has authored 352 documents, accumulated 5,581 citations, and holds an h-index of 39, reflecting strong scholarly impact. Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 5,581 Documents 352 h-index 39 Citations Documents h-index View Scopus Profile View ORCID Profile View Research Gate Profile Featured Publications Logical Operations with a Dynamical Qubit in Floquet–Bacon–Shor Code – Physical Review Letters, 2025 Unveiling the Dynamic Evolution of Innovation Networks in Emerging Economies – Systems Research and Behavioral Science, 2025 Research on fMRI Image Generation from EEG Signals Based on Diffusion Models – Electronics (Switzerland), 2025 Apoptotic Bodies Restore NAD and Mitochondrial Homeostasis in Fibroblasts – Advanced Science, 2025 Efficient Deterministic Algorithms for Maximizing Symmetric Submodular Functions – Theoretical Computer Science, 2025
Xiaoming Sun is a prominent scholar in innovation management, knowledge management, and dynamic network analysis. His research advances theoretical and empirical understanding of how innovation networks evolve and how structural holes, brokerage roles, and network embeddedness shape creativity, knowledge diffusion, and technological breakthroughs. A central contribution of his work lies in applying large-scale patent and bibliometric data to analyze inventor behavior, intellectual property value, and innovation performance across organizational and inter-organizational contexts. His studies integrate complex network theory, computational modeling, and empirical analysis to inform innovation strategy and policy. The findings are widely recognized in both international and Chinese academic communities and provide actionable insights for technology management and R&D governance. Overall, he has authored 352 documents, accumulated 5,581 citations, and holds an h-index of 39, reflecting strong scholarly impact. Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 5,581 Documents 352 h-index 39 Citations Documents h-index View Scopus Profile View ORCID Profile View Research Gate Profile Featured Publications Logical Operations with a Dynamical Qubit in Floquet–Bacon–Shor Code – Physical Review Letters, 2025 Unveiling the Dynamic Evolution of Innovation Networks in Emerging Economies – Systems Research and Behavioral Science, 2025 Research on fMRI Image Generation from EEG Signals Based on Diffusion Models – Electronics (Switzerland), 2025 Apoptotic Bodies Restore NAD and Mitochondrial Homeostasis in Fibroblasts – Advanced Science, 2025 Efficient Deterministic Algorithms for Maximizing Symmetric Submodular Functions – Theoretical Computer Science, 2025
Xiaoming Sun is a prominent scholar in innovation management, knowledge management, and dynamic network analysis. His research advances theoretical and empirical understanding of how innovation networks evolve and how structural holes, brokerage roles, and network embeddedness shape creativity, knowledge diffusion, and technological breakthroughs. A central contribution of his work lies in applying large-scale patent and bibliometric data to analyze inventor behavior, intellectual property value, and innovation performance across organizational and inter-organizational contexts. His studies integrate complex network theory, computational modeling, and empirical analysis to inform innovation strategy and policy. The findings are widely recognized in both international and Chinese academic communities and provide actionable insights for technology management and R&D governance. Overall, he has authored 352 documents, accumulated 5,581 citations, and holds an h-index of 39, reflecting strong scholarly impact. Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 5,581 Documents 352 h-index 39 Citations Documents h-index View Scopus Profile View ORCID Profile View Research Gate Profile Featured Publications Logical Operations with a Dynamical Qubit in Floquet–Bacon–Shor Code – Physical Review Letters, 2025 Unveiling the Dynamic Evolution of Innovation Networks in Emerging Economies – Systems Research and Behavioral Science, 2025 Research on fMRI Image Generation from EEG Signals Based on Diffusion Models – Electronics (Switzerland), 2025 Apoptotic Bodies Restore NAD and Mitochondrial Homeostasis in Fibroblasts – Advanced Science, 2025 Efficient Deterministic Algorithms for Maximizing Symmetric Submodular Functions – Theoretical Computer Science, 2025
Xiaoming Sun is a prominent scholar in innovation management, knowledge management, and dynamic network analysis. His research advances theoretical and empirical understanding of how innovation networks evolve and how structural holes, brokerage roles, and network embeddedness shape creativity, knowledge diffusion, and technological breakthroughs. A central contribution of his work lies in applying large-scale patent and bibliometric data to analyze inventor behavior, intellectual property value, and innovation performance across organizational and inter-organizational contexts. His studies integrate complex network theory, computational modeling, and empirical analysis to inform innovation strategy and policy. The findings are widely recognized in both international and Chinese academic communities and provide actionable insights for technology management and R&D governance. Overall, he has authored 352 documents, accumulated 5,581 citations, and holds an h-index of 39, reflecting strong scholarly impact. Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 5,581 Documents 352 h-index 39 Citations Documents h-index View Scopus Profile View ORCID Profile View Research Gate Profile Featured Publications Logical Operations with a Dynamical Qubit in Floquet–Bacon–Shor Code – Physical Review Letters, 2025 Unveiling the Dynamic Evolution of Innovation Networks in Emerging Economies – Systems Research and Behavioral Science, 2025 Research on fMRI Image Generation from EEG Signals Based on Diffusion Models – Electronics (Switzerland), 2025 Apoptotic Bodies Restore NAD and Mitochondrial Homeostasis in Fibroblasts – Advanced Science, 2025 Efficient Deterministic Algorithms for Maximizing Symmetric Submodular Functions – Theoretical Computer Science, 2025
Xiaoming Sun is a prominent scholar in innovation management, knowledge management, and dynamic network analysis. His research advances theoretical and empirical understanding of how innovation networks evolve and how structural holes, brokerage roles, and network embeddedness shape creativity, knowledge diffusion, and technological breakthroughs. A central contribution of his work lies in applying large-scale patent and bibliometric data to analyze inventor behavior, intellectual property value, and innovation performance across organizational and inter-organizational contexts. His studies integrate complex network theory, computational modeling, and empirical analysis to inform innovation strategy and policy. The findings are widely recognized in both international and Chinese academic communities and provide actionable insights for technology management and R&D governance. Overall, he has authored 352 documents, accumulated 5,581 citations, and holds an h-index of 39, reflecting strong scholarly impact. Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 5,581 Documents 352 h-index 39 Citations Documents h-index View Scopus Profile View ORCID Profile View Research Gate Profile Featured Publications Logical Operations with a Dynamical Qubit in Floquet–Bacon–Shor Code – Physical Review Letters, 2025 Unveiling the Dynamic Evolution of Innovation Networks in Emerging Economies – Systems Research and Behavioral Science, 2025 Research on fMRI Image Generation from EEG Signals Based on Diffusion Models – Electronics (Switzerland), 2025 Apoptotic Bodies Restore NAD and Mitochondrial Homeostasis in Fibroblasts – Advanced Science, 2025 Efficient Deterministic Algorithms for Maximizing Symmetric Submodular Functions – Theoretical Computer Science, 2025
Xiaoming Sun is a prominent scholar in innovation management, knowledge management, and dynamic network analysis. His research advances theoretical and empirical understanding of how innovation networks evolve and how structural holes, brokerage roles, and network embeddedness shape creativity, knowledge diffusion, and technological breakthroughs. A central contribution of his work lies in applying large-scale patent and bibliometric data to analyze inventor behavior, intellectual property value, and innovation performance across organizational and inter-organizational contexts. His studies integrate complex network theory, computational modeling, and empirical analysis to inform innovation strategy and policy. The findings are widely recognized in both international and Chinese academic communities and provide actionable insights for technology management and R&D governance. Overall, he has authored 352 documents, accumulated 5,581 citations, and holds an h-index of 39, reflecting strong scholarly impact. Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 5,581 Documents 352 h-index 39 Citations Documents h-index View Scopus Profile View ORCID Profile View Research Gate Profile Featured Publications Logical Operations with a Dynamical Qubit in Floquet–Bacon–Shor Code – Physical Review Letters, 2025 Unveiling the Dynamic Evolution of Innovation Networks in Emerging Economies – Systems Research and Behavioral Science, 2025 Research on fMRI Image Generation from EEG Signals Based on Diffusion Models – Electronics (Switzerland), 2025 Apoptotic Bodies Restore NAD and Mitochondrial Homeostasis in Fibroblasts – Advanced Science, 2025 Efficient Deterministic Algorithms for Maximizing Symmetric Submodular Functions – Theoretical Computer Science, 2025
Xiaoming Sun is a prominent scholar in innovation management, knowledge management, and dynamic network analysis. His research advances theoretical and empirical understanding of how innovation networks evolve and how structural holes, brokerage roles, and network embeddedness shape creativity, knowledge diffusion, and technological breakthroughs. A central contribution of his work lies in applying large-scale patent and bibliometric data to analyze inventor behavior, intellectual property value, and innovation performance across organizational and inter-organizational contexts. His studies integrate complex network theory, computational modeling, and empirical analysis to inform innovation strategy and policy. The findings are widely recognized in both international and Chinese academic communities and provide actionable insights for technology management and R&D governance. Overall, he has authored 352 documents, accumulated 5,581 citations, and holds an h-index of 39, reflecting strong scholarly impact. Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 5,581 Documents 352 h-index 39 Citations Documents h-index View Scopus Profile View ORCID Profile View Research Gate Profile Featured Publications Logical Operations with a Dynamical Qubit in Floquet–Bacon–Shor Code – Physical Review Letters, 2025 Unveiling the Dynamic Evolution of Innovation Networks in Emerging Economies – Systems Research and Behavioral Science, 2025 Research on fMRI Image Generation from EEG Signals Based on Diffusion Models – Electronics (Switzerland), 2025 Apoptotic Bodies Restore NAD and Mitochondrial Homeostasis in Fibroblasts – Advanced Science, 2025 Efficient Deterministic Algorithms for Maximizing Symmetric Submodular Functions – Theoretical Computer Science, 2025
Xiaoming Sun is a prominent scholar in innovation management, knowledge management, and dynamic network analysis. His research advances theoretical and empirical understanding of how innovation networks evolve and how structural holes, brokerage roles, and network embeddedness shape creativity, knowledge diffusion, and technological breakthroughs. A central contribution of his work lies in applying large-scale patent and bibliometric data to analyze inventor behavior, intellectual property value, and innovation performance across organizational and inter-organizational contexts. His studies integrate complex network theory, computational modeling, and empirical analysis to inform innovation strategy and policy. The findings are widely recognized in both international and Chinese academic communities and provide actionable insights for technology management and R&D governance. Overall, he has authored 352 documents, accumulated 5,581 citations, and holds an h-index of 39, reflecting strong scholarly impact. Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 5,581 Documents 352 h-index 39 Citations Documents h-index View Scopus Profile View ORCID Profile View Research Gate Profile Featured Publications Logical Operations with a Dynamical Qubit in Floquet–Bacon–Shor Code – Physical Review Letters, 2025 Unveiling the Dynamic Evolution of Innovation Networks in Emerging Economies – Systems Research and Behavioral Science, 2025 Research on fMRI Image Generation from EEG Signals Based on Diffusion Models – Electronics (Switzerland), 2025 Apoptotic Bodies Restore NAD and Mitochondrial Homeostasis in Fibroblasts – Advanced Science, 2025 Efficient Deterministic Algorithms for Maximizing Symmetric Submodular Functions – Theoretical Computer Science, 2025
Xiaoming Sun is a prominent scholar in innovation management, knowledge management, and dynamic network analysis. His research advances theoretical and empirical understanding of how innovation networks evolve and how structural holes, brokerage roles, and network embeddedness shape creativity, knowledge diffusion, and technological breakthroughs. A central contribution of his work lies in applying large-scale patent and bibliometric data to analyze inventor behavior, intellectual property value, and innovation performance across organizational and inter-organizational contexts. His studies integrate complex network theory, computational modeling, and empirical analysis to inform innovation strategy and policy. The findings are widely recognized in both international and Chinese academic communities and provide actionable insights for technology management and R&D governance. Overall, he has authored 352 documents, accumulated 5,581 citations, and holds an h-index of 39, reflecting strong scholarly impact. Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 5,581 Documents 352 h-index 39 Citations Documents h-index View Scopus Profile View ORCID Profile View Research Gate Profile Featured Publications Logical Operations with a Dynamical Qubit in Floquet–Bacon–Shor Code – Physical Review Letters, 2025 Unveiling the Dynamic Evolution of Innovation Networks in Emerging Economies – Systems Research and Behavioral Science, 2025 Research on fMRI Image Generation from EEG Signals Based on Diffusion Models – Electronics (Switzerland), 2025 Apoptotic Bodies Restore NAD and Mitochondrial Homeostasis in Fibroblasts – Advanced Science, 2025 Efficient Deterministic Algorithms for Maximizing Symmetric Submodular Functions – Theoretical Computer Science, 2025
Xiaoming Sun is a prominent scholar in innovation management, knowledge management, and dynamic network analysis. His research advances theoretical and empirical understanding of how innovation networks evolve and how structural holes, brokerage roles, and network embeddedness shape creativity, knowledge diffusion, and technological breakthroughs. A central contribution of his work lies in applying large-scale patent and bibliometric data to analyze inventor behavior, intellectual property value, and innovation performance across organizational and inter-organizational contexts. His studies integrate complex network theory, computational modeling, and empirical analysis to inform innovation strategy and policy. The findings are widely recognized in both international and Chinese academic communities and provide actionable insights for technology management and R&D governance. Overall, he has authored 352 documents, accumulated 5,581 citations, and holds an h-index of 39, reflecting strong scholarly impact. Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 5,581 Documents 352 h-index 39 Citations Documents h-index View Scopus Profile View ORCID Profile View Research Gate Profile Featured Publications Logical Operations with a Dynamical Qubit in Floquet–Bacon–Shor Code – Physical Review Letters, 2025 Unveiling the Dynamic Evolution of Innovation Networks in Emerging Economies – Systems Research and Behavioral Science, 2025 Research on fMRI Image Generation from EEG Signals Based on Diffusion Models – Electronics (Switzerland), 2025 Apoptotic Bodies Restore NAD and Mitochondrial Homeostasis in Fibroblasts – Advanced Science, 2025 Efficient Deterministic Algorithms for Maximizing Symmetric Submodular Functions – Theoretical Computer Science, 2025
Xiaoming Sun is a prominent scholar in innovation management, knowledge management, and dynamic network analysis. His research advances theoretical and empirical understanding of how innovation networks evolve and how structural holes, brokerage roles, and network embeddedness shape creativity, knowledge diffusion, and technological breakthroughs. A central contribution of his work lies in applying large-scale patent and bibliometric data to analyze inventor behavior, intellectual property value, and innovation performance across organizational and inter-organizational contexts. His studies integrate complex network theory, computational modeling, and empirical analysis to inform innovation strategy and policy. The findings are widely recognized in both international and Chinese academic communities and provide actionable insights for technology management and R&D governance. Overall, he has authored 352 documents, accumulated 5,581 citations, and holds an h-index of 39, reflecting strong scholarly impact. Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 5,581 Documents 352 h-index 39 Citations Documents h-index View Scopus Profile View ORCID Profile View Research Gate Profile Featured Publications Logical Operations with a Dynamical Qubit in Floquet–Bacon–Shor Code – Physical Review Letters, 2025 Unveiling the Dynamic Evolution of Innovation Networks in Emerging Economies – Systems Research and Behavioral Science, 2025 Research on fMRI Image Generation from EEG Signals Based on Diffusion Models – Electronics (Switzerland), 2025 Apoptotic Bodies Restore NAD and Mitochondrial Homeostasis in Fibroblasts – Advanced Science, 2025 Efficient Deterministic Algorithms for Maximizing Symmetric Submodular Functions – Theoretical Computer Science, 2025
Xiaoming Sun is a prominent scholar in innovation management, knowledge management, and dynamic network analysis. His research advances theoretical and empirical understanding of how innovation networks evolve and how structural holes, brokerage roles, and network embeddedness shape creativity, knowledge diffusion, and technological breakthroughs. A central contribution of his work lies in applying large-scale patent and bibliometric data to analyze inventor behavior, intellectual property value, and innovation performance across organizational and inter-organizational contexts. His studies integrate complex network theory, computational modeling, and empirical analysis to inform innovation strategy and policy. The findings are widely recognized in both international and Chinese academic communities and provide actionable insights for technology management and R&D governance. Overall, he has authored 352 documents, accumulated 5,581 citations, and holds an h-index of 39, reflecting strong scholarly impact. Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 5,581 Documents 352 h-index 39 Citations Documents h-index View Scopus Profile View ORCID Profile View Research Gate Profile Featured Publications Logical Operations with a Dynamical Qubit in Floquet–Bacon–Shor Code – Physical Review Letters, 2025 Unveiling the Dynamic Evolution of Innovation Networks in Emerging Economies – Systems Research and Behavioral Science, 2025 Research on fMRI Image Generation from EEG Signals Based on Diffusion Models – Electronics (Switzerland), 2025 Apoptotic Bodies Restore NAD and Mitochondrial Homeostasis in Fibroblasts – Advanced Science, 2025 Efficient Deterministic Algorithms for Maximizing Symmetric Submodular Functions – Theoretical Computer Science, 2025
Xiaoming Sun is a prominent scholar in innovation management, knowledge management, and dynamic network analysis. His research advances theoretical and empirical understanding of how innovation networks evolve and how structural holes, brokerage roles, and network embeddedness shape creativity, knowledge diffusion, and technological breakthroughs. A central contribution of his work lies in applying large-scale patent and bibliometric data to analyze inventor behavior, intellectual property value, and innovation performance across organizational and inter-organizational contexts. His studies integrate complex network theory, computational modeling, and empirical analysis to inform innovation strategy and policy. The findings are widely recognized in both international and Chinese academic communities and provide actionable insights for technology management and R&D governance. Overall, he has authored 352 documents, accumulated 5,581 citations, and holds an h-index of 39, reflecting strong scholarly impact. Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 5,581 Documents 352 h-index 39 Citations Documents h-index View Scopus Profile View ORCID Profile View Research Gate Profile Featured Publications Logical Operations with a Dynamical Qubit in Floquet–Bacon–Shor Code – Physical Review Letters, 2025 Unveiling the Dynamic Evolution of Innovation Networks in Emerging Economies – Systems Research and Behavioral Science, 2025 Research on fMRI Image Generation from EEG Signals Based on Diffusion Models – Electronics (Switzerland), 2025 Apoptotic Bodies Restore NAD and Mitochondrial Homeostasis in Fibroblasts – Advanced Science, 2025 Efficient Deterministic Algorithms for Maximizing Symmetric Submodular Functions – Theoretical Computer Science, 2025
Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 5,581 Documents 352 h-index 39 Citations Documents h-index
Citation Metrics ( Scopus ) 6000 5000 4000 3000 2000 1000 0 Citations 5,581 Documents 352 h-index 39 Citations Documents h-index
View Scopus Profile View ORCID Profile View Research Gate Profile Featured Publications Logical Operations with a Dynamical Qubit in Floquet–Bacon–Shor Code – Physical Review Letters, 2025 Unveiling the Dynamic Evolution of Innovation Networks in Emerging Economies – Systems Research and Behavioral Science, 2025 Research on fMRI Image Generation from EEG Signals Based on Diffusion Models – Electronics (Switzerland), 2025 Apoptotic Bodies Restore NAD and Mitochondrial Homeostasis in Fibroblasts – Advanced Science, 2025 Efficient Deterministic Algorithms for Maximizing Symmetric Submodular Functions – Theoretical Computer Science, 2025
View Scopus Profile View ORCID Profile View Research Gate Profile Featured Publications Logical Operations with a Dynamical Qubit in Floquet–Bacon–Shor Code – Physical Review Letters, 2025 Unveiling the Dynamic Evolution of Innovation Networks in Emerging Economies – Systems Research and Behavioral Science, 2025 Research on fMRI Image Generation from EEG Signals Based on Diffusion Models – Electronics (Switzerland), 2025 Apoptotic Bodies Restore NAD and Mitochondrial Homeostasis in Fibroblasts – Advanced Science, 2025 Efficient Deterministic Algorithms for Maximizing Symmetric Submodular Functions – Theoretical Computer Science, 2025
Emilia Beatriz Arrighi | Rewards & Recognition | Research Excellence Award Published on 22/01/202622/01/2026 by Human Resources Management Dr. Emilia Beatriz Arrighi | Rewards & Recognition | Research Excellence Award Founder and General Manager | The University of Universidad del Pacientey la Familia | Spain Dr. Emilia Beatriz Arrighi is an internationally recognized researcher whose work centers on patient advocacy, psycho-oncology, health literacy, and chronic disease self-management. Her research emphasizes patient-centered care, unmet needs assessment, and the systematic inclusion of the patient voice in healthcare delivery, education, and policy. She has made significant contributions to the development, cultural adaptation, and psychometric validation of patient-reported outcome measures, as well as to communication curricula for healthcare professionals. Her publications have informed best practices in oncology, chronic disease management, and health systems improvement across Europe and Latin America. The impact of her scholarly contributions is reflected in 20 authored research documents, 290 academic citations, and an h-index of 9, demonstrating consistent influence and recognition within the international research community. Citation Metrics ( Google Scholar ) 300 250 200 150 100 50 0 Citations 290 Documents 20 h-index 9 Citations Documents h-index View Google Scholar Profile View Research Gate Profile Featured Publications Scoping Health Literacy in Latin America – Global Health Promotion, 2022 A Latin American, Portuguese and Spanish Consensus on a Core Communication Curriculum for Undergraduate Medical Education – BMC Medical Education, 2016 Adaptation to European Spanish and Psychometric Properties of the Patient Activation Measure (PAM-13) – Family Practice, 2017 Therapeutic Value in Oncology: The Perspective of Patients, Families and Professionals – Psicooncología, 2010 Health Literacy: Implications for the Health System – Medicina Clínica, 2016
Dr. Emilia Beatriz Arrighi is an internationally recognized researcher whose work centers on patient advocacy, psycho-oncology, health literacy, and chronic disease self-management. Her research emphasizes patient-centered care, unmet needs assessment, and the systematic inclusion of the patient voice in healthcare delivery, education, and policy. She has made significant contributions to the development, cultural adaptation, and psychometric validation of patient-reported outcome measures, as well as to communication curricula for healthcare professionals. Her publications have informed best practices in oncology, chronic disease management, and health systems improvement across Europe and Latin America. The impact of her scholarly contributions is reflected in 20 authored research documents, 290 academic citations, and an h-index of 9, demonstrating consistent influence and recognition within the international research community. Citation Metrics ( Google Scholar ) 300 250 200 150 100 50 0 Citations 290 Documents 20 h-index 9 Citations Documents h-index View Google Scholar Profile View Research Gate Profile Featured Publications Scoping Health Literacy in Latin America – Global Health Promotion, 2022 A Latin American, Portuguese and Spanish Consensus on a Core Communication Curriculum for Undergraduate Medical Education – BMC Medical Education, 2016 Adaptation to European Spanish and Psychometric Properties of the Patient Activation Measure (PAM-13) – Family Practice, 2017 Therapeutic Value in Oncology: The Perspective of Patients, Families and Professionals – Psicooncología, 2010 Health Literacy: Implications for the Health System – Medicina Clínica, 2016
Dr. Emilia Beatriz Arrighi is an internationally recognized researcher whose work centers on patient advocacy, psycho-oncology, health literacy, and chronic disease self-management. Her research emphasizes patient-centered care, unmet needs assessment, and the systematic inclusion of the patient voice in healthcare delivery, education, and policy. She has made significant contributions to the development, cultural adaptation, and psychometric validation of patient-reported outcome measures, as well as to communication curricula for healthcare professionals. Her publications have informed best practices in oncology, chronic disease management, and health systems improvement across Europe and Latin America. The impact of her scholarly contributions is reflected in 20 authored research documents, 290 academic citations, and an h-index of 9, demonstrating consistent influence and recognition within the international research community. Citation Metrics ( Google Scholar ) 300 250 200 150 100 50 0 Citations 290 Documents 20 h-index 9 Citations Documents h-index View Google Scholar Profile View Research Gate Profile Featured Publications Scoping Health Literacy in Latin America – Global Health Promotion, 2022 A Latin American, Portuguese and Spanish Consensus on a Core Communication Curriculum for Undergraduate Medical Education – BMC Medical Education, 2016 Adaptation to European Spanish and Psychometric Properties of the Patient Activation Measure (PAM-13) – Family Practice, 2017 Therapeutic Value in Oncology: The Perspective of Patients, Families and Professionals – Psicooncología, 2010 Health Literacy: Implications for the Health System – Medicina Clínica, 2016
Dr. Emilia Beatriz Arrighi is an internationally recognized researcher whose work centers on patient advocacy, psycho-oncology, health literacy, and chronic disease self-management. Her research emphasizes patient-centered care, unmet needs assessment, and the systematic inclusion of the patient voice in healthcare delivery, education, and policy. She has made significant contributions to the development, cultural adaptation, and psychometric validation of patient-reported outcome measures, as well as to communication curricula for healthcare professionals. Her publications have informed best practices in oncology, chronic disease management, and health systems improvement across Europe and Latin America. The impact of her scholarly contributions is reflected in 20 authored research documents, 290 academic citations, and an h-index of 9, demonstrating consistent influence and recognition within the international research community. Citation Metrics ( Google Scholar ) 300 250 200 150 100 50 0 Citations 290 Documents 20 h-index 9 Citations Documents h-index View Google Scholar Profile View Research Gate Profile Featured Publications Scoping Health Literacy in Latin America – Global Health Promotion, 2022 A Latin American, Portuguese and Spanish Consensus on a Core Communication Curriculum for Undergraduate Medical Education – BMC Medical Education, 2016 Adaptation to European Spanish and Psychometric Properties of the Patient Activation Measure (PAM-13) – Family Practice, 2017 Therapeutic Value in Oncology: The Perspective of Patients, Families and Professionals – Psicooncología, 2010 Health Literacy: Implications for the Health System – Medicina Clínica, 2016
Dr. Emilia Beatriz Arrighi is an internationally recognized researcher whose work centers on patient advocacy, psycho-oncology, health literacy, and chronic disease self-management. Her research emphasizes patient-centered care, unmet needs assessment, and the systematic inclusion of the patient voice in healthcare delivery, education, and policy. She has made significant contributions to the development, cultural adaptation, and psychometric validation of patient-reported outcome measures, as well as to communication curricula for healthcare professionals. Her publications have informed best practices in oncology, chronic disease management, and health systems improvement across Europe and Latin America. The impact of her scholarly contributions is reflected in 20 authored research documents, 290 academic citations, and an h-index of 9, demonstrating consistent influence and recognition within the international research community. Citation Metrics ( Google Scholar ) 300 250 200 150 100 50 0 Citations 290 Documents 20 h-index 9 Citations Documents h-index View Google Scholar Profile View Research Gate Profile Featured Publications Scoping Health Literacy in Latin America – Global Health Promotion, 2022 A Latin American, Portuguese and Spanish Consensus on a Core Communication Curriculum for Undergraduate Medical Education – BMC Medical Education, 2016 Adaptation to European Spanish and Psychometric Properties of the Patient Activation Measure (PAM-13) – Family Practice, 2017 Therapeutic Value in Oncology: The Perspective of Patients, Families and Professionals – Psicooncología, 2010 Health Literacy: Implications for the Health System – Medicina Clínica, 2016
Dr. Emilia Beatriz Arrighi is an internationally recognized researcher whose work centers on patient advocacy, psycho-oncology, health literacy, and chronic disease self-management. Her research emphasizes patient-centered care, unmet needs assessment, and the systematic inclusion of the patient voice in healthcare delivery, education, and policy. She has made significant contributions to the development, cultural adaptation, and psychometric validation of patient-reported outcome measures, as well as to communication curricula for healthcare professionals. Her publications have informed best practices in oncology, chronic disease management, and health systems improvement across Europe and Latin America. The impact of her scholarly contributions is reflected in 20 authored research documents, 290 academic citations, and an h-index of 9, demonstrating consistent influence and recognition within the international research community. Citation Metrics ( Google Scholar ) 300 250 200 150 100 50 0 Citations 290 Documents 20 h-index 9 Citations Documents h-index View Google Scholar Profile View Research Gate Profile Featured Publications Scoping Health Literacy in Latin America – Global Health Promotion, 2022 A Latin American, Portuguese and Spanish Consensus on a Core Communication Curriculum for Undergraduate Medical Education – BMC Medical Education, 2016 Adaptation to European Spanish and Psychometric Properties of the Patient Activation Measure (PAM-13) – Family Practice, 2017 Therapeutic Value in Oncology: The Perspective of Patients, Families and Professionals – Psicooncología, 2010 Health Literacy: Implications for the Health System – Medicina Clínica, 2016
Dr. Emilia Beatriz Arrighi is an internationally recognized researcher whose work centers on patient advocacy, psycho-oncology, health literacy, and chronic disease self-management. Her research emphasizes patient-centered care, unmet needs assessment, and the systematic inclusion of the patient voice in healthcare delivery, education, and policy. She has made significant contributions to the development, cultural adaptation, and psychometric validation of patient-reported outcome measures, as well as to communication curricula for healthcare professionals. Her publications have informed best practices in oncology, chronic disease management, and health systems improvement across Europe and Latin America. The impact of her scholarly contributions is reflected in 20 authored research documents, 290 academic citations, and an h-index of 9, demonstrating consistent influence and recognition within the international research community. Citation Metrics ( Google Scholar ) 300 250 200 150 100 50 0 Citations 290 Documents 20 h-index 9 Citations Documents h-index View Google Scholar Profile View Research Gate Profile Featured Publications Scoping Health Literacy in Latin America – Global Health Promotion, 2022 A Latin American, Portuguese and Spanish Consensus on a Core Communication Curriculum for Undergraduate Medical Education – BMC Medical Education, 2016 Adaptation to European Spanish and Psychometric Properties of the Patient Activation Measure (PAM-13) – Family Practice, 2017 Therapeutic Value in Oncology: The Perspective of Patients, Families and Professionals – Psicooncología, 2010 Health Literacy: Implications for the Health System – Medicina Clínica, 2016
Dr. Emilia Beatriz Arrighi is an internationally recognized researcher whose work centers on patient advocacy, psycho-oncology, health literacy, and chronic disease self-management. Her research emphasizes patient-centered care, unmet needs assessment, and the systematic inclusion of the patient voice in healthcare delivery, education, and policy. She has made significant contributions to the development, cultural adaptation, and psychometric validation of patient-reported outcome measures, as well as to communication curricula for healthcare professionals. Her publications have informed best practices in oncology, chronic disease management, and health systems improvement across Europe and Latin America. The impact of her scholarly contributions is reflected in 20 authored research documents, 290 academic citations, and an h-index of 9, demonstrating consistent influence and recognition within the international research community. Citation Metrics ( Google Scholar ) 300 250 200 150 100 50 0 Citations 290 Documents 20 h-index 9 Citations Documents h-index View Google Scholar Profile View Research Gate Profile Featured Publications Scoping Health Literacy in Latin America – Global Health Promotion, 2022 A Latin American, Portuguese and Spanish Consensus on a Core Communication Curriculum for Undergraduate Medical Education – BMC Medical Education, 2016 Adaptation to European Spanish and Psychometric Properties of the Patient Activation Measure (PAM-13) – Family Practice, 2017 Therapeutic Value in Oncology: The Perspective of Patients, Families and Professionals – Psicooncología, 2010 Health Literacy: Implications for the Health System – Medicina Clínica, 2016
Dr. Emilia Beatriz Arrighi is an internationally recognized researcher whose work centers on patient advocacy, psycho-oncology, health literacy, and chronic disease self-management. Her research emphasizes patient-centered care, unmet needs assessment, and the systematic inclusion of the patient voice in healthcare delivery, education, and policy. She has made significant contributions to the development, cultural adaptation, and psychometric validation of patient-reported outcome measures, as well as to communication curricula for healthcare professionals. Her publications have informed best practices in oncology, chronic disease management, and health systems improvement across Europe and Latin America. The impact of her scholarly contributions is reflected in 20 authored research documents, 290 academic citations, and an h-index of 9, demonstrating consistent influence and recognition within the international research community. Citation Metrics ( Google Scholar ) 300 250 200 150 100 50 0 Citations 290 Documents 20 h-index 9 Citations Documents h-index View Google Scholar Profile View Research Gate Profile Featured Publications Scoping Health Literacy in Latin America – Global Health Promotion, 2022 A Latin American, Portuguese and Spanish Consensus on a Core Communication Curriculum for Undergraduate Medical Education – BMC Medical Education, 2016 Adaptation to European Spanish and Psychometric Properties of the Patient Activation Measure (PAM-13) – Family Practice, 2017 Therapeutic Value in Oncology: The Perspective of Patients, Families and Professionals – Psicooncología, 2010 Health Literacy: Implications for the Health System – Medicina Clínica, 2016
Dr. Emilia Beatriz Arrighi is an internationally recognized researcher whose work centers on patient advocacy, psycho-oncology, health literacy, and chronic disease self-management. Her research emphasizes patient-centered care, unmet needs assessment, and the systematic inclusion of the patient voice in healthcare delivery, education, and policy. She has made significant contributions to the development, cultural adaptation, and psychometric validation of patient-reported outcome measures, as well as to communication curricula for healthcare professionals. Her publications have informed best practices in oncology, chronic disease management, and health systems improvement across Europe and Latin America. The impact of her scholarly contributions is reflected in 20 authored research documents, 290 academic citations, and an h-index of 9, demonstrating consistent influence and recognition within the international research community. Citation Metrics ( Google Scholar ) 300 250 200 150 100 50 0 Citations 290 Documents 20 h-index 9 Citations Documents h-index View Google Scholar Profile View Research Gate Profile Featured Publications Scoping Health Literacy in Latin America – Global Health Promotion, 2022 A Latin American, Portuguese and Spanish Consensus on a Core Communication Curriculum for Undergraduate Medical Education – BMC Medical Education, 2016 Adaptation to European Spanish and Psychometric Properties of the Patient Activation Measure (PAM-13) – Family Practice, 2017 Therapeutic Value in Oncology: The Perspective of Patients, Families and Professionals – Psicooncología, 2010 Health Literacy: Implications for the Health System – Medicina Clínica, 2016
Dr. Emilia Beatriz Arrighi is an internationally recognized researcher whose work centers on patient advocacy, psycho-oncology, health literacy, and chronic disease self-management. Her research emphasizes patient-centered care, unmet needs assessment, and the systematic inclusion of the patient voice in healthcare delivery, education, and policy. She has made significant contributions to the development, cultural adaptation, and psychometric validation of patient-reported outcome measures, as well as to communication curricula for healthcare professionals. Her publications have informed best practices in oncology, chronic disease management, and health systems improvement across Europe and Latin America. The impact of her scholarly contributions is reflected in 20 authored research documents, 290 academic citations, and an h-index of 9, demonstrating consistent influence and recognition within the international research community. Citation Metrics ( Google Scholar ) 300 250 200 150 100 50 0 Citations 290 Documents 20 h-index 9 Citations Documents h-index View Google Scholar Profile View Research Gate Profile Featured Publications Scoping Health Literacy in Latin America – Global Health Promotion, 2022 A Latin American, Portuguese and Spanish Consensus on a Core Communication Curriculum for Undergraduate Medical Education – BMC Medical Education, 2016 Adaptation to European Spanish and Psychometric Properties of the Patient Activation Measure (PAM-13) – Family Practice, 2017 Therapeutic Value in Oncology: The Perspective of Patients, Families and Professionals – Psicooncología, 2010 Health Literacy: Implications for the Health System – Medicina Clínica, 2016
Dr. Emilia Beatriz Arrighi is an internationally recognized researcher whose work centers on patient advocacy, psycho-oncology, health literacy, and chronic disease self-management. Her research emphasizes patient-centered care, unmet needs assessment, and the systematic inclusion of the patient voice in healthcare delivery, education, and policy. She has made significant contributions to the development, cultural adaptation, and psychometric validation of patient-reported outcome measures, as well as to communication curricula for healthcare professionals. Her publications have informed best practices in oncology, chronic disease management, and health systems improvement across Europe and Latin America. The impact of her scholarly contributions is reflected in 20 authored research documents, 290 academic citations, and an h-index of 9, demonstrating consistent influence and recognition within the international research community. Citation Metrics ( Google Scholar ) 300 250 200 150 100 50 0 Citations 290 Documents 20 h-index 9 Citations Documents h-index View Google Scholar Profile View Research Gate Profile Featured Publications Scoping Health Literacy in Latin America – Global Health Promotion, 2022 A Latin American, Portuguese and Spanish Consensus on a Core Communication Curriculum for Undergraduate Medical Education – BMC Medical Education, 2016 Adaptation to European Spanish and Psychometric Properties of the Patient Activation Measure (PAM-13) – Family Practice, 2017 Therapeutic Value in Oncology: The Perspective of Patients, Families and Professionals – Psicooncología, 2010 Health Literacy: Implications for the Health System – Medicina Clínica, 2016
Citation Metrics ( Google Scholar ) 300 250 200 150 100 50 0 Citations 290 Documents 20 h-index 9 Citations Documents h-index View Google Scholar Profile View Research Gate Profile Featured Publications Scoping Health Literacy in Latin America – Global Health Promotion, 2022 A Latin American, Portuguese and Spanish Consensus on a Core Communication Curriculum for Undergraduate Medical Education – BMC Medical Education, 2016 Adaptation to European Spanish and Psychometric Properties of the Patient Activation Measure (PAM-13) – Family Practice, 2017 Therapeutic Value in Oncology: The Perspective of Patients, Families and Professionals – Psicooncología, 2010 Health Literacy: Implications for the Health System – Medicina Clínica, 2016
Citation Metrics ( Google Scholar ) 300 250 200 150 100 50 0 Citations 290 Documents 20 h-index 9 Citations Documents h-index
Wissem Dilmi | Learning & Development | Pioneer Researcher Award Published on 22/01/202622/01/2026 by Human Resources Management Mrs. Wissem Dilmi | Learning & Development | Pioneer Researcher Award PhD Researcher | The University of King Fahd University of Petroleum and Minerals | Saudi Arabia Mrs. Wissem Dilmi is a researcher working at the intersection of automatic control engineering and artificial intelligence, with a focus on intelligent industrial systems. Her research addresses AI-based control strategies, predictive maintenance frameworks, real-time monitoring, and data-driven optimization for complex processes. She has contributed to studies in signal processing, computer vision, and embedded AI, particularly for applications involving robotics, mobility, and automated industrial environments. Her scholarly work emphasizes robust control architectures, reliability enhancement, and the integration of machine learning techniques into control and instrumentation systems. By combining advanced algorithms with practical implementation considerations,3 documents, 5 citations, with an h-index of 1. her research supports efficiency, safety, and digital transformation in modern industrial and smart logistics applications. Citation Metrics ( Scopus ) 6 5 4 3 2 1 0 Citations 5 Documents 3 h-index 1 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Technical Aspects of Deploying UAV and Ground Robots for Intelligent Logistics Using YOLO on Embedded Systems – Sensors, 2025 Stereo Visual Matching for UAV Navigation: Multi-Channel Disparity Map-Based Trajectory Estimation – IEEE SSD Conference, 2025 Velocity Estimation Using an Improved Image Local Feature Representation with Enhanced SIFT Descriptor for Mobility – Transportation Research Procedia, 2025
Mrs. Wissem Dilmi is a researcher working at the intersection of automatic control engineering and artificial intelligence, with a focus on intelligent industrial systems. Her research addresses AI-based control strategies, predictive maintenance frameworks, real-time monitoring, and data-driven optimization for complex processes. She has contributed to studies in signal processing, computer vision, and embedded AI, particularly for applications involving robotics, mobility, and automated industrial environments. Her scholarly work emphasizes robust control architectures, reliability enhancement, and the integration of machine learning techniques into control and instrumentation systems. By combining advanced algorithms with practical implementation considerations,3 documents, 5 citations, with an h-index of 1. her research supports efficiency, safety, and digital transformation in modern industrial and smart logistics applications. Citation Metrics ( Scopus ) 6 5 4 3 2 1 0 Citations 5 Documents 3 h-index 1 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Technical Aspects of Deploying UAV and Ground Robots for Intelligent Logistics Using YOLO on Embedded Systems – Sensors, 2025 Stereo Visual Matching for UAV Navigation: Multi-Channel Disparity Map-Based Trajectory Estimation – IEEE SSD Conference, 2025 Velocity Estimation Using an Improved Image Local Feature Representation with Enhanced SIFT Descriptor for Mobility – Transportation Research Procedia, 2025
Mrs. Wissem Dilmi is a researcher working at the intersection of automatic control engineering and artificial intelligence, with a focus on intelligent industrial systems. Her research addresses AI-based control strategies, predictive maintenance frameworks, real-time monitoring, and data-driven optimization for complex processes. She has contributed to studies in signal processing, computer vision, and embedded AI, particularly for applications involving robotics, mobility, and automated industrial environments. Her scholarly work emphasizes robust control architectures, reliability enhancement, and the integration of machine learning techniques into control and instrumentation systems. By combining advanced algorithms with practical implementation considerations,3 documents, 5 citations, with an h-index of 1. her research supports efficiency, safety, and digital transformation in modern industrial and smart logistics applications. Citation Metrics ( Scopus ) 6 5 4 3 2 1 0 Citations 5 Documents 3 h-index 1 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Technical Aspects of Deploying UAV and Ground Robots for Intelligent Logistics Using YOLO on Embedded Systems – Sensors, 2025 Stereo Visual Matching for UAV Navigation: Multi-Channel Disparity Map-Based Trajectory Estimation – IEEE SSD Conference, 2025 Velocity Estimation Using an Improved Image Local Feature Representation with Enhanced SIFT Descriptor for Mobility – Transportation Research Procedia, 2025
Mrs. Wissem Dilmi is a researcher working at the intersection of automatic control engineering and artificial intelligence, with a focus on intelligent industrial systems. Her research addresses AI-based control strategies, predictive maintenance frameworks, real-time monitoring, and data-driven optimization for complex processes. She has contributed to studies in signal processing, computer vision, and embedded AI, particularly for applications involving robotics, mobility, and automated industrial environments. Her scholarly work emphasizes robust control architectures, reliability enhancement, and the integration of machine learning techniques into control and instrumentation systems. By combining advanced algorithms with practical implementation considerations,3 documents, 5 citations, with an h-index of 1. her research supports efficiency, safety, and digital transformation in modern industrial and smart logistics applications. Citation Metrics ( Scopus ) 6 5 4 3 2 1 0 Citations 5 Documents 3 h-index 1 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Technical Aspects of Deploying UAV and Ground Robots for Intelligent Logistics Using YOLO on Embedded Systems – Sensors, 2025 Stereo Visual Matching for UAV Navigation: Multi-Channel Disparity Map-Based Trajectory Estimation – IEEE SSD Conference, 2025 Velocity Estimation Using an Improved Image Local Feature Representation with Enhanced SIFT Descriptor for Mobility – Transportation Research Procedia, 2025
Mrs. Wissem Dilmi is a researcher working at the intersection of automatic control engineering and artificial intelligence, with a focus on intelligent industrial systems. Her research addresses AI-based control strategies, predictive maintenance frameworks, real-time monitoring, and data-driven optimization for complex processes. She has contributed to studies in signal processing, computer vision, and embedded AI, particularly for applications involving robotics, mobility, and automated industrial environments. Her scholarly work emphasizes robust control architectures, reliability enhancement, and the integration of machine learning techniques into control and instrumentation systems. By combining advanced algorithms with practical implementation considerations,3 documents, 5 citations, with an h-index of 1. her research supports efficiency, safety, and digital transformation in modern industrial and smart logistics applications. Citation Metrics ( Scopus ) 6 5 4 3 2 1 0 Citations 5 Documents 3 h-index 1 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Technical Aspects of Deploying UAV and Ground Robots for Intelligent Logistics Using YOLO on Embedded Systems – Sensors, 2025 Stereo Visual Matching for UAV Navigation: Multi-Channel Disparity Map-Based Trajectory Estimation – IEEE SSD Conference, 2025 Velocity Estimation Using an Improved Image Local Feature Representation with Enhanced SIFT Descriptor for Mobility – Transportation Research Procedia, 2025
Mrs. Wissem Dilmi is a researcher working at the intersection of automatic control engineering and artificial intelligence, with a focus on intelligent industrial systems. Her research addresses AI-based control strategies, predictive maintenance frameworks, real-time monitoring, and data-driven optimization for complex processes. She has contributed to studies in signal processing, computer vision, and embedded AI, particularly for applications involving robotics, mobility, and automated industrial environments. Her scholarly work emphasizes robust control architectures, reliability enhancement, and the integration of machine learning techniques into control and instrumentation systems. By combining advanced algorithms with practical implementation considerations,3 documents, 5 citations, with an h-index of 1. her research supports efficiency, safety, and digital transformation in modern industrial and smart logistics applications. Citation Metrics ( Scopus ) 6 5 4 3 2 1 0 Citations 5 Documents 3 h-index 1 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Technical Aspects of Deploying UAV and Ground Robots for Intelligent Logistics Using YOLO on Embedded Systems – Sensors, 2025 Stereo Visual Matching for UAV Navigation: Multi-Channel Disparity Map-Based Trajectory Estimation – IEEE SSD Conference, 2025 Velocity Estimation Using an Improved Image Local Feature Representation with Enhanced SIFT Descriptor for Mobility – Transportation Research Procedia, 2025
Mrs. Wissem Dilmi is a researcher working at the intersection of automatic control engineering and artificial intelligence, with a focus on intelligent industrial systems. Her research addresses AI-based control strategies, predictive maintenance frameworks, real-time monitoring, and data-driven optimization for complex processes. She has contributed to studies in signal processing, computer vision, and embedded AI, particularly for applications involving robotics, mobility, and automated industrial environments. Her scholarly work emphasizes robust control architectures, reliability enhancement, and the integration of machine learning techniques into control and instrumentation systems. By combining advanced algorithms with practical implementation considerations,3 documents, 5 citations, with an h-index of 1. her research supports efficiency, safety, and digital transformation in modern industrial and smart logistics applications. Citation Metrics ( Scopus ) 6 5 4 3 2 1 0 Citations 5 Documents 3 h-index 1 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Technical Aspects of Deploying UAV and Ground Robots for Intelligent Logistics Using YOLO on Embedded Systems – Sensors, 2025 Stereo Visual Matching for UAV Navigation: Multi-Channel Disparity Map-Based Trajectory Estimation – IEEE SSD Conference, 2025 Velocity Estimation Using an Improved Image Local Feature Representation with Enhanced SIFT Descriptor for Mobility – Transportation Research Procedia, 2025
Mrs. Wissem Dilmi is a researcher working at the intersection of automatic control engineering and artificial intelligence, with a focus on intelligent industrial systems. Her research addresses AI-based control strategies, predictive maintenance frameworks, real-time monitoring, and data-driven optimization for complex processes. She has contributed to studies in signal processing, computer vision, and embedded AI, particularly for applications involving robotics, mobility, and automated industrial environments. Her scholarly work emphasizes robust control architectures, reliability enhancement, and the integration of machine learning techniques into control and instrumentation systems. By combining advanced algorithms with practical implementation considerations,3 documents, 5 citations, with an h-index of 1. her research supports efficiency, safety, and digital transformation in modern industrial and smart logistics applications. Citation Metrics ( Scopus ) 6 5 4 3 2 1 0 Citations 5 Documents 3 h-index 1 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Technical Aspects of Deploying UAV and Ground Robots for Intelligent Logistics Using YOLO on Embedded Systems – Sensors, 2025 Stereo Visual Matching for UAV Navigation: Multi-Channel Disparity Map-Based Trajectory Estimation – IEEE SSD Conference, 2025 Velocity Estimation Using an Improved Image Local Feature Representation with Enhanced SIFT Descriptor for Mobility – Transportation Research Procedia, 2025
Mrs. Wissem Dilmi is a researcher working at the intersection of automatic control engineering and artificial intelligence, with a focus on intelligent industrial systems. Her research addresses AI-based control strategies, predictive maintenance frameworks, real-time monitoring, and data-driven optimization for complex processes. She has contributed to studies in signal processing, computer vision, and embedded AI, particularly for applications involving robotics, mobility, and automated industrial environments. Her scholarly work emphasizes robust control architectures, reliability enhancement, and the integration of machine learning techniques into control and instrumentation systems. By combining advanced algorithms with practical implementation considerations,3 documents, 5 citations, with an h-index of 1. her research supports efficiency, safety, and digital transformation in modern industrial and smart logistics applications. Citation Metrics ( Scopus ) 6 5 4 3 2 1 0 Citations 5 Documents 3 h-index 1 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Technical Aspects of Deploying UAV and Ground Robots for Intelligent Logistics Using YOLO on Embedded Systems – Sensors, 2025 Stereo Visual Matching for UAV Navigation: Multi-Channel Disparity Map-Based Trajectory Estimation – IEEE SSD Conference, 2025 Velocity Estimation Using an Improved Image Local Feature Representation with Enhanced SIFT Descriptor for Mobility – Transportation Research Procedia, 2025
Mrs. Wissem Dilmi is a researcher working at the intersection of automatic control engineering and artificial intelligence, with a focus on intelligent industrial systems. Her research addresses AI-based control strategies, predictive maintenance frameworks, real-time monitoring, and data-driven optimization for complex processes. She has contributed to studies in signal processing, computer vision, and embedded AI, particularly for applications involving robotics, mobility, and automated industrial environments. Her scholarly work emphasizes robust control architectures, reliability enhancement, and the integration of machine learning techniques into control and instrumentation systems. By combining advanced algorithms with practical implementation considerations,3 documents, 5 citations, with an h-index of 1. her research supports efficiency, safety, and digital transformation in modern industrial and smart logistics applications. Citation Metrics ( Scopus ) 6 5 4 3 2 1 0 Citations 5 Documents 3 h-index 1 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Technical Aspects of Deploying UAV and Ground Robots for Intelligent Logistics Using YOLO on Embedded Systems – Sensors, 2025 Stereo Visual Matching for UAV Navigation: Multi-Channel Disparity Map-Based Trajectory Estimation – IEEE SSD Conference, 2025 Velocity Estimation Using an Improved Image Local Feature Representation with Enhanced SIFT Descriptor for Mobility – Transportation Research Procedia, 2025
Mrs. Wissem Dilmi is a researcher working at the intersection of automatic control engineering and artificial intelligence, with a focus on intelligent industrial systems. Her research addresses AI-based control strategies, predictive maintenance frameworks, real-time monitoring, and data-driven optimization for complex processes. She has contributed to studies in signal processing, computer vision, and embedded AI, particularly for applications involving robotics, mobility, and automated industrial environments. Her scholarly work emphasizes robust control architectures, reliability enhancement, and the integration of machine learning techniques into control and instrumentation systems. By combining advanced algorithms with practical implementation considerations,3 documents, 5 citations, with an h-index of 1. her research supports efficiency, safety, and digital transformation in modern industrial and smart logistics applications. Citation Metrics ( Scopus ) 6 5 4 3 2 1 0 Citations 5 Documents 3 h-index 1 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Technical Aspects of Deploying UAV and Ground Robots for Intelligent Logistics Using YOLO on Embedded Systems – Sensors, 2025 Stereo Visual Matching for UAV Navigation: Multi-Channel Disparity Map-Based Trajectory Estimation – IEEE SSD Conference, 2025 Velocity Estimation Using an Improved Image Local Feature Representation with Enhanced SIFT Descriptor for Mobility – Transportation Research Procedia, 2025
Citation Metrics ( Scopus ) 6 5 4 3 2 1 0 Citations 5 Documents 3 h-index 1 Citations Documents h-index View Scopus Profile View ORCID Profile View Google Scholar Profile View Research Gate Profile Featured Publications Technical Aspects of Deploying UAV and Ground Robots for Intelligent Logistics Using YOLO on Embedded Systems – Sensors, 2025 Stereo Visual Matching for UAV Navigation: Multi-Channel Disparity Map-Based Trajectory Estimation – IEEE SSD Conference, 2025 Velocity Estimation Using an Improved Image Local Feature Representation with Enhanced SIFT Descriptor for Mobility – Transportation Research Procedia, 2025
Citation Metrics ( Scopus ) 6 5 4 3 2 1 0 Citations 5 Documents 3 h-index 1 Citations Documents h-index