Qi Li | Human-Computer Interaction | Women Researcher Award

Prof. Qi Li | Human-Computer Interaction | Women Researcher Award

Professor at Capital Normal University, China

Professor Qi Li is a renowned scholar in psychology, currently serving as a Professor and Doctoral Supervisor at the School of Psychology, Capital Normal University, and a part-time Associate Researcher at the Chinese Academy of Sciences. He is also the Director of the Institute of Basic Psychology and Deputy Director of a Scientific Research Innovation Team. With visiting experience at Stanford University, he brings a strong global perspective. Professor Li has made pioneering contributions in the fields of cognitive neuroscience and adolescent mental health, integrating traditional psychological methods with cutting-edge technologies like EEG, brain imaging, and behavioral modeling. His research has led to the creation of impactful platforms like the Mental Health Assessment and Early Warning System and the Qihuang Angel Platform, serving over 100,000 individuals nationwide. With over 110 peer-reviewed publications and leadership in 20+ national projects, Professor Qi Li exemplifies excellence in research, innovation, and societal impact.

Professional Profile 

Education🎓

Professor Qi Li holds a robust academic background in psychology and neuroscience, which laid the foundation for his influential research career. Although specific degree details are not listed in the provided profile, his academic and research affiliations with prestigious institutions such as the Chinese Academy of Sciences and Stanford University indicate a high level of scholarly achievement and global academic engagement. His continuous progression from Assistant Researcher to Associate Researcher and ultimately to Professor and Doctoral Supervisor reflects both his academic competence and research leadership. His education has empowered him to lead interdisciplinary work that combines psychology, cognitive neuroscience, and behavioral science with practical application in education and healthcare. The depth and breadth of his academic training are also evident in his ability to mentor PhD students, spearhead large-scale national projects, and develop research-backed mental health assessment tools. His educational journey reflects a strong commitment to academic excellence and innovation.

Professional Experience📝

Professor Qi Li’s professional trajectory is marked by steady advancement and impactful leadership. He began his career in 2011 as an Assistant Researcher at the Institute of Psychology, Chinese Academy of Sciences, progressing to Associate Researcher and Doctoral Supervisor by 2014. In 2021, he joined Capital Normal University as a Professor and Director of the Institute of Basic Psychology, while maintaining part-time research responsibilities at the Chinese Academy of Sciences. Additionally, he serves as Deputy Director of a major Scientific Research Innovation Team and holds numerous committee and advisory roles across educational and psychological institutions in China. His multidisciplinary leadership spans clinical, educational, and research settings. Notably, he has developed two national platforms addressing adolescent behavior and mental health, collaborated on major government-funded R&D projects, and published extensively in international journals. His dual engagement in academic research and real-world application highlights his broad professional impact.

Research Interest🔎

Professor Qi Li’s research focuses on the neural mechanisms of cognitive control and reward, especially as they relate to adolescent behavior, internet addiction, emotional regulation, and decision-making. His work examines how cognitive and affective systems interact in developing brains, using tools such as EEG, brain imaging, behavioral experiments, and data modeling. A major focus of his research is the early warning, assessment, and correction of problem behaviors in children and adolescents. He has pioneered interdisciplinary platforms that integrate psychological theory, educational practice, and digital technology to address behavioral health challenges in schools. His studies have explored social comparison, fairness decision-making, and the brain’s response to motivation and learning contexts. Additionally, he leads projects that combine neuroscience with traditional Chinese medicine in mental health interventions. His work stands at the frontier of basic and applied psychological science, aiming to translate theoretical insights into scalable and effective behavioral interventions.

Award and Honor🏆

Although specific individual awards are not directly listed in the provided profile, Professor Qi Li’s nationally funded research projects, editorial roles, software copyrights, and leadership in high-impact platforms are indicative of substantial recognition and honor in his field. His appointment as a Visiting Scientist at Stanford University, Editorial Board Member of Frontiers, and reviewer for top-tier journals such as Neuroimage and Cerebral Cortex reflect his respected standing in the international academic community. Additionally, he holds key positions in national academic committees, such as Vice Chairman of the Traditional Chinese Medicine Nursing Committee and Expert Steering Committee for Psychological Correction in Drug Rehabilitation. The wide adoption of his mental health assessment platform in over 50 institutions nationwide showcases the trust and acknowledgment his work has earned. His sustained research funding from the National Natural Science Foundation of China and other prestigious bodies further attests to his excellence and credibility.

Research Skill🔬

Professor Qi Li possesses a comprehensive and multidisciplinary research skill set that bridges psychology, cognitive neuroscience, education, and digital health. He is adept in questionnaire design, behavioral experiment protocols, electroencephalography (EEG), functional brain imaging, and computational data modeling. These skills have enabled him to explore the intricacies of cognitive control, reward processing, emotion regulation, and adolescent behavioral patterns. His ability to analyze complex brain-behavior relationships has been instrumental in developing real-time, technology-driven assessment and correction systems. He also excels in platform development, evidenced by the large-scale deployment of his behavioral intervention platforms in schools and healthcare systems. His proficiency in software development is supported by multiple software copyrights for psychological assessment and intervention tools. Furthermore, his leadership in interdisciplinary projects highlights strong skills in project management, team coordination, and inter-institutional collaboration. Altogether, Professor Li’s technical and analytical expertise underscores his capability as a top-tier researcher in psychology and behavioral science.

Conclusion💡

Professor Qi Li is highly suitable and deserving of the Best Researcher Award. His track record exemplifies academic excellence, innovation in psychological assessment and intervention, real-world impact, and national-level leadership in both research and education. While opportunities for enhanced globalization and commercialization exist, his contribution to mental health, cognitive neuroscience, and student behavioral development is both timely and transformative.

Publications Top Noted✍

  1. Title: Core Symptoms and Symptom Relationships of Problematic Internet Use in Children and Adolescents: A Network Analysis
    Authors: Qi Li, Hui Zhou, Guangteng Meng, Jing Xiao, Kesong Hu, Ping Wei, Jinpeng Wang, Mei Du, Xun Liu
    Year: 2025
    Citation (DOI): https://doi.org/10.1007/s11469-025-01455-9

  2. Title: Patients with Methamphetamine Use Disorder Show Highly Utilized Proactive Inhibitory Control and Intact Reactive Inhibitory Control with Long-Term Abstinence
    Authors: Weine Dai, Hui Zhou, Arne Møller, Ping Wei, Kesong Hu, Kezhuang Feng, Jie Han, Qi Li, Xun Liu
    Year: 2022
    Citation (DOI): https://doi.org/10.3390/brainsci12080974

  3. Title: The Roles of Risk Perception, Negative Emotions and Perceived Efficacy in the Association Between COVID-19 Infection Cues and Preventive Behaviors: A Moderated Mediation Model (Preprint)
    Authors: Guangteng Meng, Xiaoyan Yuan, Ya Zheng, Kesong Hu, Qi Li, Bibing Dai, Xun Liu
    Year: 2021
    Citation (DOI): https://doi.org/10.2196/preprints.32930

  4. Title: Enhanced Neural Responses in Specific Phases of Reward Processing in Individuals with Internet Gaming Disorder
    Authors: Lingxiao Wang, Guochun Yang, Ya Zheng, Zhenghan Li, Yue Qi, Qi Li, Xun Liu
    Year: 2021
    Citation (DOI): https://doi.org/10.1556/2006.2021.00003

  5. Title: The Impact of Intolerance of Uncertainty on Negative Emotions in COVID-19: Mediation by Pandemic-Focused Time and Moderation by Perceived Efficacy
    Authors: Weine Dai, Guangteng Meng, Ya Zheng, Qi Li, Bibing Dai, Xun Liu
    Year: 2021
    Citation (DOI): https://doi.org/10.3390/ijerph18084189

  6. Title: The Effects of COVID-19 Infection Cues on Preventive Behaviors: Development of a Moderated Mediation Model (Preprint)
    Authors: Guangteng Meng, Xiaoyan Yuan, Qi Li, Bibing Dai, Xun Liu
    Year: 2021
    Citation (DOI): https://doi.org/10.2196/preprints.28986

  7. Title: Dysfunctional Cognitive Control and Reward Processing in Adolescents with Internet Gaming Disorder
    Authors: Qi Li, Yong Wang, Zhong Yang, Weine Dai, Ya Zheng, Yuwei Sun, Xun Liu
    Year: 2020
    Citation (DOI): https://doi.org/10.1111/psyp.13469

 

Assoc Prof Dr. Chor-Kheng Lim | Human-Computer Interaction | Best Researcher Award

Publications

Research on Indoor Spatial Behavior Perception IoT Smart System for Solitary Elderly at Home

  • Authors: Chor-Kheng Lim
  • Journal: Designs
  • Year: 2022

A framework of CAD/CAM design and construction process for freeform architecture: a case study

  • Authors: Chor-Kheng Lim
  • Journal: International Journal of Architectural Computing
  • Year: 2010

New tectonics: a preliminary framework involving classic and digital thinking

  • Authors: Yu-Tung Liu, Chor-Kheng Lim
  • Journal: Design studies
  • Year: 2006

Comparisons of practice progress of digital design and fabrication in free-form architecture

  • Authors: Zi-Ru Chen, Chor-Kheng Lim, Wei-Yen Shao
  • Journal: Journal of industrial and production engineering
  • Year: 2015

From concept to realization

  • Authors: Chor-Kheng Lim
  • Journal: Proceedings of Association for Computer Aided Design in Architecture
  • Year: 2006

Ms. Bdour Hamad Alwugaysi | Human-Computer Interaction | Best Researcher Award

Ms. Bdour Hamad Alwugaysi | Human-Computer Interaction | Best Researcher Award

Bdour Hamad Alwugaysi at King’s College London, United Kingdom

👨‍🎓 Profiles

Scopus

Orcid

Google Scholar

Dr. Dang Anh Tuan | Human-Computer Interaction | Best Researcher Award

Dr. Dang Anh Tuan | Human-Computer Interaction | Best Researcher Award

Doctorate at University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam

👨‍🎓 Profiles

Orcid

Google Scholar

Publications

Real earnings management trends in the context of the COVID-19 pandemic: The case of non-financial listed companies in Vietnam

  • Authors: Dang Anh Tuan, Nguyen Ngoc Khanh Dung, Bui Thi Thu Thao
  • Year: 2023

Model for Forecasting Tax Compliance Behaviors for Small and Medium Enterprises Owners Based on Owning Tax Knowledge

  • Authors: Nguyen Ngoc Khanh Dung, Dang Anh Tuan, Bui Thi Thu Thao
  • Journal: Journal of Law and Sustainable Development
  • Year: 2023

Financial distress prediction of listed companies–empirical evidence on the Vietnamese stock market

  • Authors: Tran Quoc Thinh, Dang Anh Tuan, Nguyen Thanh Huy, Tran Ngoc Anh Thu
  • Journal: Innovations
  • Year: 2021

Development of Audit Risk Model Applied in Public Investment Project Audit: The State Audit in Vietnam

  • Authors: Dang Anh Tuan, Nguyen Ngoc Khanh Dung.
  • Journal: Social Space
  • Year: 2023

TESTING THE INFLuENCE OF FACTORS ON THE TIMELINESS OF FINANCIAL REPORTING–EMPIRICAL EVIDENCE OF VIETNAMESE LISTED ENTERPRISES

  • Authors: Tran Quoc Thinh, Dang Anh Tuan, Luu Chi Danh
  • Journal: Innovations
  • Year: 2022

Mr. Md Abrar Jahin | Human Computer Interaction | Best Researcher Award

Mr. Md Abrar Jahin, Human Computer Interaction, Best Researcher Award

Md Abrar Jahin at Okinawa Institute of Science and Technology Graduate University, Bangladesh

Profiles

Scopus

Orcid

Google Scholar

Research Gate

Linked In

🎓 Education:

Mr. Md Abrar Jahin pursued his B.Sc. in Industrial & Production Engineering at Khulna University of Engineering & Technology (KUET), Bangladesh, from January 2019 to March 2024. He graduated with a remarkable CGPA of 3.83/4.00, ranking in the top 5% of his class. Abrar was honored with the Dean’s Award for three consecutive years (2018-2019, 2019-2020, 2020-2021) for his exceptional academic performance. His thesis, titled “Supply Chain Backorder Prediction Using Interpretable Hybrid Quantum–Classical Neural Network,” reflects his deep engagement with cutting-edge research in his field.

🔬 Research Interests:

Mr. Abrar’s research interests span several advanced areas, including Machine Learning & Deep Learning, Natural Language Processing (NLP), eXplainable AI (XAI), Quantum Computing and Comparative Genomics. His work in these areas includes developing innovative models like Kolmogorov-Arnold Networks (KAN) and Physics-Informed Neural Networks (PINN), and applying them to practical problems in supply chain management, logistics, and demand forecasting.

🔍 Research Experience:

Visiting Researcher at the Physics and Biology Unit, Okinawa Institute of Science and Technology (OIST), Japan, since March 2024. Abrar is working under the supervision of Prof. Jonathan Miller on the project “Evolution of Strongly Conserved Sequence.”

Visiting Research Student at OIST from February 2023 to February 2024, contributing to research on conserved sequences and genomic alignments.

Researcher at the Advanced Machine Intelligence Research Lab (AMIRL), American International University-Bangladesh (AIUB), since March 2023, focusing on NLP and deep learning.

Research Lead at Research Camp 02, Scholarship School BD, Bangladesh, where he led a team on an AI project for COVID-19 detection from May 2022 to March 2023.

Research Intern at OIST, Japan, from October 2021 to March 2022, where he conducted research on sequence length distributions and optimized genomic data analysis workflows.

Research Intern at UiT – The Arctic University of Norway in May 2021, working on machine learning models for road state identification.

🏆 Honors and Awards:

Mr. Abrar has received numerous accolades, including being a Global Champion in the Smart Roads Hackathon 2021, Top 6 in Entrepret Season-2: Crafting Visions 2021, and a Global Nominee in the NASA Space Apps Challenge 2023. He has also been awarded the Dean’s Award at KUET three times and recognized as a Junior Research Fellow by SPARRSO in 2022.

👩‍🏫 Professional Skills:

Mr. Abrar is proficient in multiple programming languages and tools such as Python, C/C++, R, SQL, and SAS. He is skilled in Machine Learning, Data Analysis, and High-Performance Computing, and familiar with Quantum Machine Learning and XAI.

📖 Publications:

Big Data—Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques
  • Authors: Md Abrar Jahin, Md Sakib Hossain Shovon, Jungpil Shin, Istiyaque Ahmed Ridoy, MF Mridha
  • Journal: Archives of Computational Methods in Engineering
  • Year: 2024
A Natural Language Processing-Based Classification and Mode-Based Ranking of Musculoskeletal Disorder Risk Factors
  • Authors: Md Abrar Jahin, Subrata Talapatra
  • Journal: Decision Analytics Journal
  • Year: 2024
Analysis of Internet of things implementation barriers in the cold supply chain: An integrated ISM-MICMAC and DEMATEL approach
  • Authors: Kazrin Ahmad, Md Saiful Islam, Md Abrar Jahin, Muhammad Firoz Mridha
  • Journal: PloS one
  • Year: 2024
Optimizing Container Loading and Unloading through Dual-Cycling and Dockyard Rehandle Reduction Using a Hybrid Genetic Algorithm
  • Authors: Md Mahfuzur Rahman, Md Abrar Jahin, Md Saiful Islam, MF Mridha
  • Journal: arXiv preprint arXiv:2406.08534
  • Year: 2024
MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model
  • Authors: Md Abrar Jahin, Asef Shahriar, Md Al Amin
  • Journal: arXiv preprint arXiv:2405.15598
  • Year: 2024