Xiuqi Huang | Stock Message Board Information Diffusion | Best Researcher Award

Xiuqi Huang | Stock Message Board Information Diffusion | Best Researcher Award

Mr Xiuqi Huang Tianjin University, China

With a major in Building Environment and Energy Application Engineering from Tianjin University (September 2019 – June 2021), he excelled academically, securing the top rank among 50 students, placing him in the top 2% of his cohort. Transitioning to the Investment department at ByteDance, from September to December 2023, he spearheaded extensive research on various financial instruments including index funds, short and medium-term bond funds, monetary funds, and commercial pensions. His role involved meticulous analysis of market funds, constructing fund pools using quantitative metrics, and conducting in-depth comparisons with competitors.

Education:

During his time at Tianjin University, he pursued a major in Building Environment and Energy Application Engineering from September 2019 to June 2021, where he demonstrated exceptional academic performance, ranking first among 50 students, placing him in the top 2% of his cohort. Despite initially studying engineering, he seamlessly transitioned to business, indicating a diverse skill set and adaptability. His solid foundation in engineering was evident through his outstanding performance in major courses such as Physics, Fluid Distribution Network, and Theoretical Mechanics, where he consistently achieved scores above 90. This academic excellence was complemented by his transfer to finance studies at Peking University from September 2021 to June 2024, focusing on Finance Technology. At Peking University, he continued to excel academically, achieving a remarkable score of 94.38 out of 100 and securing the top rank among 60 students, placing him in the top 1.67% of his class. His outstanding performance earned him prestigious honors, including the National Scholarship and the Tianjin Government Scholarship, further underscoring his academic prowess and dedication. Throughout his academic journey, he demonstrated proficiency in major courses such as Monetary Finance, Macroeconomics, Operations Research, Accounting, and Statistics, consistently achieving scores above 95. Additionally, his strong mathematical foundation, evidenced by exceptional scores in Mathematics courses and a first prize in a Mathematics competition, highlights his analytical abilities and problem-solving skills, positioning him as a highly capable and accomplished student poised for success in the field of finance.

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Experience:

During his tenure at ByteDance in the Investment department, he undertook extensive research from September to December 2023, focusing on index funds, short and medium-term bond funds, monetary funds, and commercial pensions. His responsibilities included conducting thorough analyses of funds across the market spectrum and constructing a fund pool based on quantitative indicators. This involved scrutinizing data from 376 funds within the fund pool, employing six distinct screening criteria. His efforts aimed to forecast the company’s prospective fund category earnings trajectory, while also conducting comprehensive comparisons with rival products. Throughout this process, he adeptly managed over 150 access contracts, demonstrating his proficiency in handling intricate financial transactions and contractual obligations. His meticulous approach to research and analysis contributed significantly to ByteDance’s strategic investment decisions during this period. By leveraging his expertise in fund management and his analytical skills, he played a pivotal role in identifying lucrative investment opportunities and optimizing the company’s investment portfolio for sustained growth and profitability.

Publication:

  1. Novel effective room temperature-based predictive feedback control method for large-scale district heating substation Cited By : 8, Published By : 2023

Solomiia Fedushko | Social Communication, Information technology | Member

Solomiia Fedushko | Social Communication, Information technology | Member

Dr Solomiia Fedushko Lviv Polytechnic National University

Education:

She holds a Ph.D. in Engineering Science with a specialization in Structural, Applied, and Mathematical Linguistics from Lviv Polytechnic National University, Ukraine, awarded in 2015. Prior to her doctoral studies, she completed her Master of Science in Applied Linguistics from the Applied Linguistics Department of Lviv Polytechnic National University in 2010. Her academic journey began with a Bachelor’s degree in Philology from the same university’s Applied Linguistics Department in 2008. Throughout her academic career, she has demonstrated a strong commitment to linguistic research and education, specializing in areas such as structural linguistics, applied linguistics, and mathematical linguistics. Her Ph.D. thesis focused on exploring innovative approaches to linguistic analysis within the context of engineering science, showcasing her interdisciplinary expertise. With a solid foundation in philology and a profound understanding of linguistic theory, she has contributed significantly to the field through her research, publications, and academic endeavors. She continues to be actively engaged in scholarly activities, striving to advance knowledge and understanding in the realm of linguistics and its applications in various domain.

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Experience:

She has been actively engaged in academic and research activities at Lviv Polytechnic National University, Ukraine, since 2017. Currently serving as an Associate Professor in the Social Communication and Information Activities Department at the Institute of the Humanities and Social Sciences, her responsibilities include teaching a diverse range of courses such as Research Work, Electronic Democracy, Fundamentals of E-Government, Website Development, Social Networks in Business, and Web Design. Alongside her teaching role, she also holds the position of Head at the Research Laboratory “Analytical Center for Social Communications Technologies” since 2020. In these capacities, she plays a pivotal role in advancing research and education in the field of social communications and technology. With her expertise and leadership, she contributes to the development of innovative approaches to social communication technologies, shaping the future of the discipline and its applications in various domains.

Honors and Awards:

She has garnered numerous accolades and awards for her outstanding contributions to education, research, and scientific endeavors. In 2021, she was recognized as the winner of the TOP-10 Ukrainian Prize in the L’ORÉAL-UNESCO Global Program for Women in Science, highlighting her significant achievements in the field. Additionally, she clinched multiple victories in prestigious annual contests, such as “The Best Scientist” and “Best Young Scientist of the Year,” organized by the Council of Young Students at the Ministry of Education and Science of Ukraine and Lviv Polytechnic National University. Her remarkable achievements include winning scholarships, being honored for her exceptional series of scientific papers, and securing the title of “Best Young Scientist” in various categories, showcasing her remarkable talent, dedication, and leadership in her field of expertise. These accolades underscore her commitment to excellence and her impactful contributions to the academic and scientific community in Ukraine and beyond.

Publications:

  1. Methods of Determining Information Support of Web Community User Personal Data Verification System Cited By : 67, Published By : 2017
  2. University’s Information Image as a Result of University Web Communities’ Activities  Cited By : 61, Published By : 2017
  3. Development of a software for computer-linguistic verification of socio-demographic profile of web-community member Cited By : 61, Published By : 2014
  4. Real-time high-load infrastructure transaction status output prediction using operational intelligence and big data technologies Cited By : 60, Published By : 2020
  5. Big Data analysis in development of personalized medical system Cited By : 60, Published By : 2019
  6. Validation of the user accounts personal data of online academic community Cited By : 56, Published By : 2016
  7. Predicting pupil’s successfulness factors using machine learning algorithms and mathematical modelling methods Cited By : 55, Published By : 2020
  8. Determination of development scenarios of the educational web forum Cited By : 52, Published By : 2016
  9. Method of the Data Adequacy Determination of Personal Medical Profiles Cited By : 51, Published By : 2019
  10. E-commerce customers behavior research using cohort analysis: A case study of COVID-19 Cited By : 47, Published By : 2022