Posted on October 22, 2024 by UTSA School of Data Science

Los Datos Conference 2024 Poster Session Winners Announced 

jordan-miller -los-datos

The Los Datos Conference 2024 hosted a dynamic poster session where students showcased their innovative research across various fields of data science, artificial intelligence, and emerging technologies. The competition featured 27 research posters from students representing multiple colleges, including the Alvarez College of Business (ACOB), College of Sciences (COS), College for Health, Community and Policy (HCAP), and Klesse College of Engineering and Integrated Design (KCEID). The poster session highlighted cutting-edge projects covering a wide range of topics such as AI in healthcare, cybersecurity, machine learning, and environmental studies. 

The winners are as follows: 

Undergraduate Category Winners 

  • 1st Place: Jordan Miller, ACOB; Robert Miller, ACOB 
    Weighing In: Examining the Surge in GLP-1 Receptor Agonist Exposure Calls to Poison Control Centers Following FDA Approval for Weight Loss 
  • 2nd Place: Pragathi Durga Rajarajan, COS; Adrian Cisneros, COS 
    FaunaForest: A Tool to Teach Decision Trees to Middle School Students 
  • 3rd Place: Giliane Yza Muyna, HCAP; Christina Adeniran, HCAP; Sandra Villegas Ibarra, HCAP; Maysa Sapargeldiyeva, HCAP; Sarah Kazi HCAP
    Geospatial Variation in Environmental Pollution Measures and Life Expectancy in Texas 
  • Honorable Mention: Zikhozonke Gwengu, ACOB
    Comparative Analysis between Cox Proportional Hazards & Weibull Regression Models for Multiple Myeloma Patients under Alkylating Agents.

Graduate Category Winners 

  • 1st Place: Joseph Spracklen, COS; Raveen Wijewickrama, COS 
    Special Delivery! Investigating the Prevalence, Causes, and Mitigation Methods of Package Hallucination in Code Generating LLMs 
  • 2nd Place: Pragyan K.C., COS 
    Towards Regulatory Compliance: A Few-shot Learning Approach to Extract Processing Activities 
  • 3rd Place: Rambod Ghandiparsi, COS; Pragyan K.C., COS 
    Feature Request Apprentice - Managing Software Changes from Feature Requests 
  • Honorable Mention: Dorde Klisura, ACOB 
    Unmasking Database Vulnerabilities: Zero-Knowledge Schema Inference Attacks in Text-to-SQL Systems 

Los Datos Conference poster session continues to be a platform for showcasing pioneering work, fostering a community of learning and innovation in data science and AI. We congratulate all the winners and participants for their outstanding contributions and look forward to seeing even more groundbreaking research in the future! 

 

— UTSA School of Data Science