Xuefei Bai | Spatial Computing | Research Excellence Award

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Assoc. Prof. Dr. Xuefei Bai | Spatial Computing | Research Excellence Award

Liaoning University | China

Bai Xuefei is a distinguished researcher specializing in technological innovation, low-carbon economy, and big data analytics. Over recent years, she has published 27 papers and 2 monographs, contributing significantly to academic knowledge in her fields. She has led or participated in 56 research projects at national and provincial/municipal levels, including notable projects such as The Impact of Green Transformation on ESG Performance in Manufacturing Enterprises and industry-focused initiatives like the Premium Service Ecosystem Propelling High-Quality Development of Liaoning’s Pan-Regional Innovation Ecosystem. Bai Xuefei has been recognized for her leadership and expertise, being selected as a Shenyang High-Level Leading Talent and appointed as a Liaoning Provincial Science and Technology Commissioner in 2022. All her publications appear in CSSCI-indexed journals, and she holds editorial responsibilities as an editor of the Journal of Inner Mongolia Minzu University. Her collaborative work includes the Liaoning Strategic Alliance for Industrial Technology Innovation in AI Development for Manufacturing Processes. She actively contributes to the professional community as an executive council member of the Chinese Association of Young Statisticians, council member across several branches of the Chinese Society of Applied Statistics, a member of the Society of Complexity Management of China, and as a review expert for municipal scientific projects and graduate theses. Her research focuses on problem-oriented solutions with real-world social and industrial impact, combining academic rigor with practical innovation. Bai Xuefei has also authored two books (ISBN: 9787509668337; 9787502373597), further establishing her authority in her research domains. Her work bridges theoretical research, applied analytics, and strategic innovation, promoting sustainable development and advanced technological solutions in China. Recognized for her contributions, she demonstrates a consistent commitment to advancing knowledge, mentoring emerging researchers, and fostering interdisciplinary collaboration. Her research and consultancy projects have influenced policy and industrial practices, reflecting her capacity to translate complex analytics and technological insights into actionable strategies for societal and economic development. Academic and research achievements can be verified via her Baidu Scholar profile

 

Profile:  Orcid

Featured Publications 

Fan, X., Guo, Q., & Bai, X. (2025). The Impact of Green Transformation on ESG Performance in Manufacturing Enterprises: Empirical Evidence from Listed Companies in China. Sustainability, 17(24), 10911. https://doi.org/10.3390/su172410911 MDPI+1

Guo, P., Wang, X., Jiang, H., & Bai, X. (2025). Does Digital Transformation Improve Manufacturing ESG Performance: Evidence from China. Sustainability, 17(16), 7278. https://doi.org/10.3390/su17167278 MDPI+1

Bai, X., Guo, Q., & Fan, X. (2024). Green Technology Innovation and Corporate ESG — Evidence Based on Listed Companies in China. Sustainability, 17(4), 1410. https://doi.org/10.3390/su17041410 MDPI

Bai, X., Guo, Q., & Fan, X. (2024). Does ESG Performance Enhance Corporate Green Technological Innovation? Micro Evidence from Chinese‑Listed Companies. Sustainability, 17(2), 636. https://doi.org/10.3390/su17020636

Rasool Abedanzadeh | Virtual Reality Systems | Best VR Researcher Award

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prof. Rasool Abedanzadeh | Virtual Reality Systems | Best VR Researcher Award

Shahid Chamran University of Ahvaz | Iran

Rasool Abedanzadeh is an Associate Professor of Motor Behavior at Shahid Chamran University of Ahvaz, specializing in motor control and learning, sport and exercise psychology, motor development, and cognitive performance. He holds academic degrees in Sport Sciences and Motor Behavior, with graduate research focused on psychological factors influencing perceived exertion and the role of sensory information and age in bimanual coordination. As an experienced educator, he teaches a wide range of subjects, including motor learning, motor control, motor development, motor skills acquisition, sport psychology, advanced statistical methods, and specialty English. His research spans attentional focus, neurocognitive mechanisms of movement, feedback strategies, developmental and neurological conditions, aging, brain stimulation, stereotype threat, and motor-skill acquisition in both typical and special populations. Dr. Abedanzadeh has produced an extensive body of scholarly work, authoring more than 45 peer-reviewed publications in national and international journals. His studies address topics such as normative feedback, mirror neuron involvement, active and interactive video-game-based training, brain-gym exercises, transcranial direct current stimulation, coordination patterns, balance, and learning processes in children with autism, individuals with intellectual disabilities, elderly adults, and novice performers. He has also contributed numerous presentations to national and international conferences, highlighting advancements in feedback mechanisms, attention, brain stimulation, motor development, and applied motor behavior. Beyond publications and teaching, he has led several funded research projects focused on cognitive-motor performance, motivational climate, goal orientation, and sports-talent development for students. His innovative work includes registered inventions such as an eye-tracking system for anxiety and stress assessment, a mirror-tracking device, and a Stroop-based auditory stimulus tool for examining psychological refractory periods. Dr. Abedanzadeh also contributes to the academic community as a member of the editorial board for the Journal of Sport Sciences and Educational Applied Researches without Border and serves as an Academic Editor for PLOS ONE. Collectively, his expertise, research, and inventions reflect a strong commitment to advancing knowledge in motor behavior, enhancing training and learning strategies, and applying scientific insights to sport, health, and cognitive performance.