College of Sciences faculty research papers and student theses are spotlighted by the Georgia Tech chapter of Sigma Xi, the Scientific Research Society.

Six College of Sciences researchers are among 19 Georgia Tech faculty and students receiving 2022 Research Awards from the Georgia Tech chapter of Sigma Xi, the Scientific Research Society. 

Sigma Xi’s mission is “to enhance the health of the research enterprise, foster integrity in science and engineering, and promote the public’s understanding of science for the purpose of improving the human condition.” 

Two College of Sciences researchers won the Best Faculty Paper Award:

Grigoriev won for the paper, “Robust learning from noisy, incomplete, high-dimensional experimental data via physically constrained symbolic regression.” The study appeared in Nature Communications.

Ng won for four papers:

Four College of Sciences graduate students are also recognized.

Best Ph.D. Thesis Awards:

  • Yuchen He, School of Mathematics
    Advisor: Sung Ha Kang
    Title: "Mathematical and data-driven pattern representation with applications in image processing, computer graphics, and infinite dimensional dynamical data mining"  

  • Pan Liu, School of Earth and Atmospheric Sciences
    Advisor: Yuanzhi Tang 
    Title: "Speciation and recovery of rare earth elements (REES) from coal fly ash"   

  • Suttipong “Jay” Suttapitugsakul, School of Chemistry and Biochemistry
    Advisor: Ronghu Wu 
    Title: "MS-based chemical proteomics studies of extracellular glycoproteins: identification, quantification, and dynamics" 

Best M.S. Thesis Award:

  • Charles Ross Lindsey, School of Biological Sciences
    Advisor: Frank Rosenzweig
    Title: "Phylotranscriptomics points to multiple independent origins of multicellularity and cellular differentiation in the Volvocine algae"

The Sigma Xi Georgia Tech Chapter awards ceremony is scheduled for April, preceding the Georgia Tech faculty awards ceremony. Learn more.

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Sally Ng in her lab
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A fluid dynamics experiment shows small fluorescent particles carried along by the flow. The particles represent the types of data used in the School of Physics study. (Credit: Roman Grigoriev)
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A fluid dynamics experiment shows small fluorescent particles carried along by the flow. The particles represent the types of data used in the School of Physics study. (Credit: Roman Grigoriev)
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Roman Grigoriev
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