Mengen Wang

Mengen Wang is an Assistant Professor in the Department of Electrical and Computer Engineering at SUNY Binghamton. She holds a BS from Shandong University (China), a PhD from Stony Brook University, and completed postdoctoral training at the University of California - Santa Barbara (2019-2022). Her research focuses on first-principles computational approaches to design materials for energy conversion and quantum information technologies, with a specialization in wide-bandgap semiconductors and quantum materials.

Education:

• BS, Shandong University, China (2010-2014)
• PhD, Stony Brook University (2014-2019)
• Postdoc, UC Santa Barbara (2019-2022)

Research interests center on density functional theory computations, quantum defects, and surface/defect engineering in semiconductors like Ga₂O₃. Her work combines machine learning with ab initio methods to predict material properties critical for optoelectronic devices and quantum systems. Recent studies explore gallium vacancy formation, surface reconstructions, and noble gas trapping in nanocages. Her group actively develops AI-driven tools for materials design and has affiliations with the Materials Science and Engineering Program at SUNY Binghamton.

Funding and collaborations support computational resource development and graduate/postdoc training. Current projects emphasize defect dynamics, interface engineering, and quantum defect control in advanced materials.