I was a research assistant at Theiss Research under the supervision of Dr. Gunay Dogan at NIST for the summer. We developed a user friendly Python library for image segmentation problem. Our goal was resolving the surface of unknown objects in given 3D images.
The tools we have implemented can be used in material science and medical imaging to obtain the numerical approximation of the surfaces and to help conducting numerical experiments. These experiments can then be run numerous times with no cost in order to simulate any desired effect in the material or the internal organ.
Our work is still continuing and we will make the entire library available on GitHub.
I was humbled by 2017 Excellence in Graduate Teaching Award. It is a university-wide award which is given up to 2 graduate students each year. It also includes a financial gift of $1,500. I received my award at the University Faculty Senate Meeting on May 7, 2018. On the right you can see a picture taken by Dean of College of Arts George Watson (Thank you Dean Watson! He was kind enough to tweet this great news as well). My award was also recognized at our Departmental Colloquium and Annual College of Arts and Science Celebrating Achievement and Success event. You can read more about this award, and check out UDaily and our department‘s kind comments about it.
Acknowledgement: I want to thank everyone who nominated me for this award. I am grateful for all my teachers, mentors and advisors who helped me to build my current teaching philosophy.