Adina Bechhofer
Research Assistant
PhD Student, EECS
Massachusetts Institute of Technology
Department of Electrical Engineering and Computer Science
66 Massachusetts Ave., Suite 36-245
Cambridge, MA 02139
adinabec@mit.edu
Adina is a graduate student in the Electrical Engineering and Computer Science department at MIT. She received her B.S. in Electrical Engineering from Columbia University and her B.A. in Applied Mathematics from Queens College in 2020. Her past research includes a mix of 2D semiconductor physics and computing for social good. She currently works with the Computational Prototyping Group and the QNN on modeling planar nano vacuum transistors. Her work is supported by an NSF GRFP grant.
QNN Publications, Conference Papers, & Thesis
Bechhofer, A. R., Nirantar, S., Daniel, L., Berggren, K. K., & Keathley, P. D. (2023, July 10). Circuit Model for Nanoscale Optical Frequency Electronics. IVNC2023, Cambridge, MA.
Bechhofer, A. R., Nirantar, S., Daniel, L., Berggren, K. K., & Keathley, P. D. (2023, July 10). Circuit Model for Nanoscale Optical Frequency Electronics. 2023 IEEE 36th International Vacuum Nanoelectronics Conference (IVNC). IVNC2023, Cambridge, MA. https://doi.org/0.1109/IVNC57695.2023.10188885
Bechhofer, A. R. (2023). Geometrical Optimization of Planar Nano Vacuum Channel Transistors [M.S. Thesis, Massachusetts Institute of Technology].
Bechhofer, A. R. (2022, June 2). Stochastic methods for geometrical optimization of nano vacuum electronics [Oral Presentation]. EIPBN 2022, New Orleans, LA.
QNN Talks
Bechhofer, A. R., Nirantar, S., Daniel, L., Berggren, K. K., & Keathley, P. D. (2023, July 10). Circuit Model for Nanoscale Optical Frequency Electronics. IVNC2023, Cambridge, MA.
Bechhofer, A. R. (2022, June 2). Stochastic methods for geometrical optimization of nano vacuum electronics [Oral Presentation]. EIPBN 2022, New Orleans, LA.