Shawana Tabassum

Assistant Professor of Electrical Engineering

Email: stabassum@uttyler.edu
Building:   RBN
Department: Electrical Engineering

Degrees

• Ph.D., Iowa State University, Ames, Iowa
• B.Sc., Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

Postdoctoral Training

• Iowa State University, Ames, Iowa

Biography

Dr. Shawana Tabassum joined as an Assistant Professor in the Department of Electrical Engineering at UT Tyler in Fall 2020.  She completed her postdoctoral training from Iowa State University, Ames, Iowa, in 2020 and obtained her Ph.D. in Electrical Engineering from Iowa State University in 2018.  Dr. Tabassum earned her Bachelor of Science (B.Sc.) in Electrical and Electronics Engineering from Bangladesh University of Engineering and Technology, Dhaka, Bangladesh, in 2014.

Dr. Tabassum's research is focused on sensors, micro/nano-optics, microfluidic devices, MEMS/NEMS, and their applications in sustainable agriculture and environment, plant sciences, and biomedicine.

Dr. Tabassum has been a recipient of several university-level, as well as national-level, awards.

Research Interests:

• Micro/nano Optics and Electronics
• Microfluidic Devices
• Point-of-Care Biosensors
• Wearable Biosensors
• Plant and Soil Sensors
• Environment Monitoring

Awards & Honors:

• Rising STARs Award, The University of Texas System (2020)
• Postdoctoral Scholar Excellence Award for Teaching and Mentoring Students, Iowa State University (ISU) Postdoctoral Association (2020)
• Postdoctoral Seed Grant, Iowa State University (ISU) Postdoctoral Association (2020)
• New Idea-Second Prize, ISU Pappajohn Center for Entrepreneurship (2020)    
• Young Investigator Award, Biomedical Engineering Society (2020)
• Best Global Impact Innovation Prize, ISU Pappajohn Center for Entrepreneurship (2019)    
• Career Development Award, Biomedical Engineering Society (2019)
• Seed Grant, ISU’s Innovation-Corps Site Program (2019)
• Research Excellence Award, ISU (2018)
• NSF-INTERN Supplement, NSF (2018)
• Best Paper Award finalist, IEEE Sensors Conference (2016)