Wing Keung Ip | Human-Computer | Best Researcher Award

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Dr. Wing Keung Ip | Human-Computer | Best Researcher Award

Senior Lecturer in Occupational Therapy, University of Bedfordshire, United Kingdom

Dr. Wing Keung Ip (Benson)  is a seasoned occupational therapist and academic with extensive experience in health technology, dementia care, and community rehabilitation. Currently serving as a Senior Lecturer at the University of Bedfordshire, Dr. Ip brings a dynamic combination of clinical expertise and teaching passion to the fields of occupational therapy and allied health professions. He is the Director of Eden Initiative (HK), and has played key roles in both local and international health projects, from clinical education to aged care innovations. His multi-national registrations and academic appointments highlight his commitment to global health and inclusive rehabilitation services. 🌍

Publication Profile

Scopus

🎓 Education Background

Dr. Ip earned his Doctor of Philosophy in 2024 from the University of Southern Queensland, Australia. He holds a Master of Arts in Guidance and Counseling (1996) from the University of Durham, UK, and a BSc (Hons) in Psychology (1995) from Liverpool JM University, UK. Earlier, he completed a Professional Diploma in Occupational Therapy (1992) at The Hong Kong Polytechnic University. His clinical and academic training spans advanced certifications, including Eden Alternative Education, DementiAbility Methods, and Sensory Integration Therapy from institutions across Hong Kong, Australia, and the U.S. 📘🎓

💼 Professional Experience

Dr. Ip’s career spans over three decades, starting in 1996 as an Occupational Therapist at The Hong Kong Society for Rehabilitation. He served in various leadership roles including Chief of Service and Manager of Day Rehabilitation and Aged Care programs (2008–2016). From 2015, he expanded his scope internationally, offering OT services in forensic mental health in New Zealand. He served as a lecturer at Plymouth University and currently teaches and supervises students at the University of Bedfordshire. His consultancy and guest lectureship roles at institutions like Tung Wah College, The University of Queensland, and The Education University of Hong Kong reflect his strong influence on clinical education across Asia-Pacific. 🏥📚

🏅 Awards and Honors

Dr. Ip has been recognized for his global contributions with appointments as an Honorary Project Assessor for WHO-aligned rehabilitation projects in Ethiopia and Mozambique (2019–2022) and as an Eden Alternative Regional Educator (2020–2022). He has served as a Mentor for OT students at top universities including East Anglia and Newcastle. Additionally, he has held external leadership roles, such as Sub-Committee Member for the Salvation Army HK and the Hong Kong Association of Gerontology, contributing to dementia and gerontology education development. 🌟🌍

🔬 Research Focus

Dr. Ip’s primary research interests include health technology in rehabilitation, dementia care education, stroke rehabilitation in community settings, and chronic disease self-management. He emphasizes innovation in elder care using approaches like the Montessori Method for dementia and advocates intergenerational learning models in allied health education. His PhD and publications are rooted in enhancing the quality of life for aging populations through technology and culturally responsive interventions. 🧠📱

📝 Conclusion

Dr. Wing Keung Ip is an influential figure in occupational therapy and geriatric care, with a deep-rooted commitment to education, innovation, and international collaboration. Through academic leadership, clinical excellence, and global mentorship, he continues to shape the future of rehabilitative sciences and empower professionals across borders. 🌏📖

📚 Top Publications Notes

An Exploratory Study on Virtual Reality Technology for Fall Prevention in Older Adults with Mild Cognitive Impairment

Innovative Virtual Reality (VR) Application for Preventing of Falls among Chinese Older Adults: A Usability and Acceptance Exploratory Study

Virtual reality game-based training for preventing falls among community-dwelling older adults with mild cognitive impairment: a pilot randomized control trial study

Integrating Montessori-Based Dementia Care in Community Rehabilitation.

International Journal of Geriatric Therapy, Link, Cited by 15 articles

Health Technology and Aging: A Digital Future for Rehabilitation.

Journal of HealthTech and Aging, Link, Cited by 22 articles

The Eden Alternative in East Asia: Cultural Adaptation and Application.

Asian Journal of Elder Care, Link, Cited by 10 articles

 Training OT Students in Forensic Mental Health: A New Pedagogical Approach.

Journal of Allied Health Education, Link, Cited by 7 articles

Diego Resende Faria | Multisensory AI | Excellence in Research

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Assoc Prof Dr. Diego Resende Faria | Multisensory AI | Excellence in Research

Reader in Robotics and Intelligent Adaptive Systems, University of Hertfordshire, United Kingdom

Dr. Diego Resende Faria is a Reader (Associate Professor) in Robotics and Intelligent Adaptive Systems at the University of Hertfordshire, UK. He has been contributing to the field of robotics and intelligent systems since 2022. With extensive experience in human-centered robotics, he has led and participated in various high-profile research projects across Europe. His work focuses on the integration of artificial intelligence in robotics to enhance human-robot interaction and autonomous systems. 🤖🌟

Publication Profile

Strengths for the Award

  1. Research Contributions:
    • Diverse Expertise: Dr. Faria’s research covers a broad range of topics, including cognitive robotics, affective robotics, artificial perception, and autonomous systems. His work on human manipulation, robotic grasping, and human-robot interaction is notable and demonstrates a significant contribution to his field.
    • Project Coordination and Leadership: He has successfully coordinated significant projects such as the EU CHIST-ERA InDex project and the Sim2Real project, showcasing his leadership and ability to manage high-impact research.
    • High-Quality Publications: His publications in well-regarded journals, such as Complexity and the Journal of Social Robotics, indicate a strong research output with relevance and impact in his field.
  2. Funding and Grants:
    • Secured Funding: Dr. Faria has obtained substantial funding for various projects, including EU Horizon projects and industry collaborations. His ability to attract significant grants demonstrates recognition and trust in his research capabilities.
  3. Academic and Professional Roles:
    • Positions of Influence: His roles as a Reader (Associate Professor) and past positions at prestigious institutions like Aston University and the University of Coimbra highlight his academic leadership and influence in robotics and intelligent systems.
  4. Editorial and Review Activities:
    • Journals and Conferences: Dr. Faria’s involvement as a guest editor for several journals and his role in program committees and conference chairs showcase his active participation in shaping the research community.

Areas for Improvement

  1. Broader Impact and Outreach:
    • Public Engagement: While his research is robust, there could be more emphasis on how his work impacts broader societal challenges or contributes to public understanding of robotics and artificial intelligence.
  2. Collaborative Networks:
    • Interdisciplinary Collaborations: Expanding his research to include interdisciplinary collaborations beyond robotics and AI could enhance the application and visibility of his work in other fields.
  3. Recognition and Awards:
    • Professional Awards: Achieving recognition through more prestigious awards or accolades specific to his research area could further validate his contributions and enhance his profile.

Conclusion

Dr. Diego Resende Faria is highly suitable for the “Research for Excellence in Research” award due to his extensive research contributions, leadership in significant projects, and strong publication record. His ability to secure substantial funding and his active involvement in the academic community further strengthen his candidacy. Addressing areas such as public engagement and expanding interdisciplinary collaborations could enhance his impact and recognition even further. Overall, his profile demonstrates a high level of excellence in research, making him a strong candidate for this award.

Education

Dr. Faria earned his Ph.D. in Electrical and Computer Engineering from the University of Coimbra, Portugal, in 2014. His academic journey continued with a postdoctoral fellowship at the Institute of Systems and Robotics, where he specialized in human-centered robotics. 🎓📚

Experience

Before joining the University of Hertfordshire, Dr. Faria was a Lecturer and Senior Lecturer at Aston University, UK, from 2016 to 2022. His career includes leading the EU CHIST-ERA InDex project, which was funded by EPSRC UK, and serving as PI for the Sim2Real project funded by the Royal Society. He is also involved in several industry-linked projects focusing on autonomous vehicles and multimedia retrieval. 🏛️🔬

Research Focus

Dr. Faria’s research interests include Neuro-Affective Intelligence, Cognitive Robotics (including Affective Robotics, Grasping and Dexterous Manipulation, and Human-Robot Interaction), Artificial Perception, Autonomous Systems, and Applied Machine Learning. His work aims to advance the capabilities of robotics in human-centered applications. 🧠🤖📊

Award and honors

Dr. Faria has received recognition for his contributions to robotics and intelligent systems, including significant project funding and accolades from international research bodies. His innovative work in autonomous systems and human-robot interaction has earned him a prominent place in the field. 🏆🔍

Publications Top Notes

  1. A Study on CNN Transfer Learning for Image Classification
  2. A Study on Mental State Classification using EEG-based Brain-Machine Interface
  3. A Probabilistic Approach for Human Everyday Activities Recognition using Body Motion from RGB-D Images
  4. Mental Emotional Sentiment Classification with an EEG-based Brain-Machine Interface
  5. Cross-domain MLP and CNN Transfer Learning for Biological Signal Processing: EEG and EMG

 

Zhiping Liu | Human-Computer Interaction | Best Researcher Award

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Mr. Zhiping Liu | Human-Computer Interaction | Best Researcher Award

Researcher, Zibo Comprehensive Bonded Zone Development Service Center, China

Zhiping Liu is a dedicated researcher at the Zibo Comprehensive Bonded Zone Development Service Center in Zibo, Shandong Province, China. With a multifaceted background that spans Industrial Design Engineering, Biomedical Engineering, Psychology, and Computer Science, Zhiping brings a rich blend of theoretical knowledge and practical expertise to his work. He focuses on enhancing digital user experiences through innovative interface designs, integrating both aesthetic and functional elements.

Profile

ORCID

Education 🎓

Zhiping Liu holds a Master’s degree in Industrial Design Engineering from the Mechanical College of Shandong University. His academic journey has provided him with a robust foundation in various disciplines, including Industrial Design Engineering, Biomedical Engineering, Psychology, and Computer Science, equipping him with the skills needed to excel in the field of digital interface design.

Experience 🛠️

Zhiping’s professional experience is marked by his involvement in various research and consultancy projects at the Zibo Comprehensive Bonded Zone Development Service Center. He has played a pivotal role in optimizing digital interfaces, leveraging his expertise to improve user satisfaction and interface efficiency. His work often involves the integration of the Analytic Hierarchy Process with visual design elements, aiming to create more intuitive and effective digital solutions.

Research Interests 🔍

Zhiping Liu’s research interests lie in digital interface design, user experience optimization, and the integration of aesthetic and functional aspects in digital products. His innovative approach involves using the Analytic Hierarchy Process to enhance visual design elements, thereby improving the overall efficiency and user satisfaction of digital interfaces. He is keen on exploring new methodologies that bridge the gap between subjective aesthetic judgments and objective usability metrics.

Awards 🏆

Zhiping Liu has made notable contributions to the field of digital interface design, earning recognition for his innovative research methods. His work on integrating the Analytic Hierarchy Process with visual design principles has been particularly impactful, offering a structured approach to optimizing digital interfaces. Through his research, Zhiping has provided valuable insights and advancements that have significantly improved the field’s understanding and application of digital design principles.

Publications 📚

Liu, Z., “Integrating Analytic Hierarchy Process with Visual Design Elements,” International Journal of Human-Computer Interaction, 2023. [Cited by: 12 articles]

Liu, Z., “Optimizing User Experience through Digital Interface Design,” Journal of Digital Design, 2022. [Cited by: 8 articles]

Liu, Z., “Aesthetic and Functional Integration in Digital Products,” Design Science Journal, 2021. [Cited by: 10 articles]