LUO Lan

Hong Kong University of Science and Technology

Southwest University

A Gender-Inclusive Analysis of Applying Storytelling, Analogy, and Metaphor to Promote Empathy among Science Graduate Students

• Accepted by the 12th International Conference on Social Sciences and Humanities (ICSSH 2024)
• Examined the impact of using storytelling, analogy, and metaphor in a design thinking course to develop soft skills like empathy among male and female science graduate students.
• Utilized Natural Language Processing (NLP) for sentiment analysis of student assignments with a Naive Bayes Classifier, which was trained using a large corpus divided into positive and negative sentiments, with IDF pre-processing to enhance feature set training.
• Extracted texts from student assignments using various techniques, including speech-to-text for videos and document parsing for written reports, and conducted sentiment analysis on them to calculate cumulative sentiment scores, providing insights into the emotional tone.
• Conducted Gender-related analysis to compare sentiment scores between male and female students, with the Kolmogorov-Smirnov test and Mann-Whitney U-test.

China National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Chongqing University

• Researched the information quality, which is an important standard to measure the uncertainty of a probability distribution in information fusion.
• Proposed a generalized quality information to obtain reasonable basic probability assignments (BPAs) of high quality. Solve the problem that the classical Dempster’s combination rule will get the counter-intuitive result when the given basic probability assignments (BPAs) are highly conflicted.
• Proposed a data fusion optimization method based on the generalized information quality and genetic algorithm, obtained the fusion with maximum generalized information quality within a reasonable range.
• Used a few numerical examples and the real data set of UCI to analyze the classification results. Handled the basic probability assignments (BPAs) fusion problem of highly conflict sources effectively.

Innovation and Entrepreneurship Training Program for Undergraduates

• Researched the complex evidence theory and divergence measure in classical Dempster-Shafer evidence theory.
• Proposed a generalized divergence measure called complex belief divergence (CBD), which has the properties of symmetry, nonnegativity, and nondegeneracy. The CBD will degenerate into classical belief divergence, which has a better ability to measure the uncertainty of information.
• Designed a pattern recognition algorithm based on CBD and applied it to the iris data set from UCI and a medical diagnosis problem, which proves its practical prospect.
• Completed the paper CBD: A new divergence measure for complex mass function and its application in pattern recognition and submitted to Soft Computing. DOI: https://doi.org/10.21203/rs.3.rs-579531/v1

Research on HKUST(GZ) Practices

• Established successfully and received a grant of RMB 50,000
• Initiated a strategic approach to align educational outcomes with evolving industry demands by revisiting and updating industry classifications.
• Leveraged advanced technologies such as AI and data analytics to pinpoint the critical skills required in the job market, thereby guiding the development of targeted educational content and practical tasks for students.
• Proposed personalized learning paths for students through the innovative use of knowledge graphs to facilitate a customized educational experience, with the knowledge, ability, and skill model (KAS model).

Industrialized Planning and Talented Training of College Students

• Established a team of six people from different majors, including fintech, data science, public policy, artificial intelligence, etc.
• Collected user questionnaires and concluded that the rate of graduates to voluntary resignation within one year rises to almost 25%.
• Established a business model to help fresh graduates accurately match positions in corresponding industries.
• Designed a platform using the blockchain technique to help employees and employers post or select their positions, respectively, without the third party.

The 17th "Challenge Cup" National Extracurricular Academic and Scientific Works Competition for University Students, Chongqing District Selection

• Be part of a team to conduct an in-depth investigation into the phenomenon of cyberbullying and study the inner psychological mechanism of bullying behaviors.
• Collected user questionnaires and micro-blogging data, conducted data correlation analysis by constructing a cyber bullying speech recognition model based on long short-term memory.
• Designed a counseling service platform, focused on the construction of a tip-off mechanism based on online blacklisting and an AI assistant that provides initial psychological counseling reception.
• Won the Grand Prize of Chongqing District Selection

The Interdisciplinary Contest In Modeling

• Formed a team of three and finished a paper based on the requirements of a digital currency based on blockchain
• Constructed a primitive digital currency, Peace & Love (P & L), replacing the gold standard-like mechanism dominated by super-sovereign currencies.
• Used Metcalfe's law to determine countries' willingness to work with this new financial market.
• Used Markov chains to identify key factors that limit or promote profit-and-loss growth according to the three points of the impossible triangle: access, stability, and security at the individual, national, and global levels.
• Established a digital currency financial system operation and supervision mechanism to ensure national information transfer. Each client and each country is connected to others via the Star Network and Mesh Network, respectively, and the links between the national servers take the form of distributed bookkeeping.
• Won the title of Meritorious Winner

Hong Kong University of Science and Technology (Guangzhou) Volunteer Association Society

• Launched a volunteer association society with more than 200 members.
• Led the team ResearcHERs in Academia and won the "Three Star Entrepreneur" award and corresponding financial support.
• Investigate the work-life balance of teachers, whether women can integrate well into the group during students' project-based learning, and whether there is leadership.

Publicity Department of Sunshine Psychological Centre, School of Computer and Information Science

• Trained psychological counselor in every class, popularized common manifestations of depression, anxiety, and schizophrenia.
• Promoted common coping methods, such as trying to communicate with classmates or contacting a counsellor for a more professional approach to the problem.

• English (Fluent)
• Chinese (Native)

• Leadership
• Writing Business Plans
• Communication Skills
• Strong Work Ethic

• Genetic Algorithm
• KNN