I am Maede, a Ph.D. candidate in Industrial Engineering at Virginia Tech, and 2020-2021’s Vice president of INFORMS student chapter at VT. I have my Master’s degree from the Industrial and Systems Engineering Department of Virginia Tech. I have also received the graduate certificate in Data Analytics from the Discovery Analytics Center at Virginia Tech. I am a member of the Smart Manufacturing Analytics Research & Technology (SMART) Laboratory under the supervision of Dr. James Kong. I have achieved two primary research goals so far; First, I proposed and implemented a novel approach for Covid-19 diagnosis. Second, I proposed and implemented deep learning structures for video object segmentation and tracking for additive manufacturing.
I enjoy utilizing data analytics, machine learning, and deep learning methods to turn data into actionable insights, automatic systems, and interactive visualizations. I have worked with different data types, including time series, text, images, and videos, in industrial and medical projects. My end goal is to contribute to high-impact projects as a data scientist.
[Apr. 2021] Held a Workshop on “Data Wrangling and Analysis in Python” at VT INFORMS Student Chapter
[Nov. 2020] Won the runner-up award in the 2020 INFORMS QSR Data Challenge on “CT Scan Diagnosis for COVID-19”
[Nov. 2020] Won the second place in the 2020 VT INFORMS student Chapter Poster Competition
[May 2020] Received Master of Science in Industrial and Systems Engineering (ISE) at Virginia Tech
[Dec. 2019] Received Graduate Certificate in Data Analytics at Virginia Tech
[March 2020] Passed the Ph.D. Preliminary Exam
[Nov. 2019] Presented at 2019 Informs Annual Meeting Seattle
[Sept. 2019] Joined the SMART Lab
[Sept. 2017] Awarded a Graduate Fellowship for the Ph.D. program at Virginia Tech