Sieun Chae
Education:
● Ph.D. in Materials Science and Engineering, University of Michigan, MI (2017.09 - 2022.06)
Supervisor: Emmanouil Kioupakis & John Heron
● M.S. in Nanoscience and Technology, Seoul National University, South Korea (2015.09 - 2017.08)
Supervisor: Youn Sang Kim
● B.S. in Materials Science and Engineering, Yonsei University, South Korea (2011.03 - 2015.02)
Experience:
● Assistant Professor in Electrical Engineering and Computer Science, Oregon State University, OR (anticipated 2023.12 - )
● Postdoctoral Associate in Materials Science and Engineering, Cornell University, NY (2022. 07 - )
Supervisor: Darrell Schlom
● Process Engineer Intern, Applied Materials, Santa Clara, CA (2021.05 - 2021.08)
● Researcher, Korea Research Institute of Chemical Technology, South Korea (2015.04 - 2017.08)
● Research Intern, Korea Electrotechnology Research Institute, South Korea (2014.06 - 2014.08)
Dipannita Ghosh
Dipannita is a Ph.D. candidate in Electrical and Computer Engineering, Oregon State University. She obtained her B.S. in EEE from Bangladesh University of Engineering & Technology (BUET).
After that, she earned M.S. in ECE from the University of Texas Rio Grande Valley (UTRGV).
Her research project includes the development of a predictive model using machine learning techniques, synthesis of oxide thin films using
pulsed laser deposition, and characterization of materials. In her free time, she enjoys painting, making desserts, and traveling.
Jongin Kim
Jongin is a M.S. student in Electrical and Computer Engineering, Oregon State University. After obtaining his
B.S. in ECE, Inha University, he worked as a R&D Engineer in Jusung Engineering, South Korea. He then moved to Intel JDP in Portland and worked as a project leader.
He currently works on renovating the pulsed-laser deposition facilities at OSU as well as developing ultra-wide-band-gap semiconductor oxides.
Josh Anderson
Josh is an undergraduate student in Physics at OSU. He works for his Honors College thesis project, theoretical and experimental discovery of high-performance p-type oxides.
He performs density functional theory calculation to predict properties of d-correlated p-type oxides and synthesizes thin films of the predicted materials using pulsed laser deposition.
Yen-Chun Huang
Yen-Chun is currently a M.S. student in Computer Science at Oregon State University.
He has a diverse academic background that spans both chemical engineering and computer science. After he obtained his bachelor's in Chemical Engineering, Tamkang University, Taipei,
he transitioned to Computer Science for his M.S. degree. His current research focuses on the high-throughput discovery of ferroelectric materials, leveraging computational techniques to solve complex problems in materials science.