Iman Hassani Nia Publishes Article in Scientific Reports

He presents a simple non-invasive computational technique that, when coupled with experiments, has the potential for characterization of a wide range of biological tissues, such as cancer diagnosis, therapeutic applications, and drug efficacy tests.

Iman Hassani Nia

EECS Postdoctoral Fellow Iman Hassani Nia has written a recent article for Scientific Reports, titled, "Characterization of the Optical Properties of Turbid Media by Supervised Learning of Scattering Patterns."

In the article, published Friday, November 10, 2017, he presents a simple non-invasive computational technique that, when coupled with experiments, has the potential for characterization of a wide range of biological tissues, such as cancer diagnosis, therapeutic applications, and drug efficacy tests.

Supporting authors include: Ramin Bostanabad, Wei Chen & Prof. Hooman Mohseni.

Nia is currently a working in the Bio-inspired Sensors and Optoelectronics Laboratory (BiSOL) under Prof. Hooman Mohseni. His research area is optoelectronic and thermal effects in semiconductors. He received his B.Sc and M.Sc degree from Shiraz University and earned his Ph.D. degree from Northwestern University in 2016. In his spare time, he likes to listen and play music, play tennis and chess, and go swimming.

Scientific Reports is an online, open access journal from the publishers of Nature. They publish original research in all areas of the natural and clinical sciences. We believe that if your research is scientifically valid and technically sound then it deserves to be published and made accessible to the research community.