Texas Tech University

FBRI Faculty

 

Noureddine Abidi

Noureddine Abidi, Ph.D.

Leidigh Professor (PSS)
Managing Director (FBRI)
Associate Dean (Davis College)

Dr. Noureddine Abidi joined the FBRI in September of 1999 as a Research Associate working in chemical finishes and textile chemistry. He earned his B.S. in chemistry and M.S. in polymer chemistry.

 

 

Diego Gomez-Maldonado

Diego Gomez-Maldonado, Ph.D.

Assistant Professor

Dr. Diego Gomez-Maldonado focuses on biopolymers for biomedical applications. In the past his research has centered on interfacial interactions of cellulose nanomaterials and molecules, nanoparticles, cells, or polymers of interest to improve water remediation, controlled release, tissue engineering, and biosensing.

 

 

Brendan Kelly

Brendan Kelly, Ph.D.

Associate Professor of Cotton Fiber Phenomics

Dr. Brendan Kelly is a West Texas native from Midland, TX. He received his B.S. in mathematics and his M.S. in Plant and Soil Science from Texas Tech University.

 

 

Kalavathy Rajan

Kalavathy Rajan, Ph.D.

Assistant Professor

Leveraging her expertise in biosystems engineering, Dr. Kala Rajan investigates and educates about sustainable and multifunctional bio-product development from crop residues.

 

 

Julia Shamshina

Julia Shamshina, Ph.D.

Assistant Professor

Julia Shamshina has been named an Assistant Professor in Biopolymers & Bioproducts with Texas Tech's Department of Plant and Soil Science, according to officials within the Davis College of Agricultural Science & Natural Resources. She officially stepped into her new post on Nov. 1st.

 

Christopher Turner

Christopher Turner, Ph.D.

Research Assistant Professor

Dr. Christopher Turner focuses on developing software for capturing data from cotton testing equipment and relating it to fiber and yarn quality, as well as analyzing data generated from fiber testing. One of his goals at FBRI is to improve data mining and analytics to help improve fiber quality measurements. Turner has a strong history in data analytics, engineering research, multivariate analysis, data mining and computer programming.