Leila Ghanbari

Leila (1).JPG

Graduate Student

PhD

University of Minnesota, Mechanical Engineering (Current)

MS

University of Minnesota, Mechanical Engineering (2018)

University of New Mexico, Electrical Engineering (2015)

BS

University of Teheran, Electrical Engineering (2014)

Biosketch

Leila is currently a 4th year Ph.D. candidate in the mechanical engineering program. She received her B.Sc. degree in electrical engineering from University of Tehran, Iran, and her M.S. degree in electrical engineering from the University of New Mexico where she developed a method for constructing and calibrating energy building models to predict cooling loads in commercial buildings. She joined the Bio Sensing and Bio Robotics Laboratory in February 2016. She is working on the development of technologies that enable wide-field, cellular resolution neural interfacing with mice brain.

 

Publications

L. Ghanbari*, M. Rynes*, J. Hu, D. Schulman, G. Johnson, M.  Laroque, G.Shull, S. B. Kodandaramaiah, Craniobot: A computer numerical controlled robot for cranial microsurgeries, Scientific reports, Jan 31st, 2019

L. Ghanbari, R. Carter, M. Rynes, J. Dominguez, J. Hu, N. Mossazghi, M. Laroque, T. Ebner, S. B. Kodandaramaiah, Brain Windows: Digitally Generated 3D Cranial Windows for Pan Cortical Neural Interfacing, Proceedings of the 2018 Design of Medical Devices Conference, Minneapolis, MN, April 10th-12th, 2018  

M. Rynes*, L. Ghanbari*, J. Hu, D. Schulman, G. Johnson, M.  Laroque, S. B. Kodandaramaiah, Principles of Computer Numerical Control Applied to Small Research Animal Surgical Procedures, Proceedings of the 2018 Design of Medical Devices Conference, Minneapolis, MN, April 10th-12th, 2018 

L. Ghanbari, R. Carter, M. Rynes, J. Dominguez, G. Chen, J.Hu, T. Ebner, S. B. Kodandaramaiah, See-Shells: Transparent Polymer Skulls for Pan-Cortical Neural Interfacing, 9th International IEEE EMBS Conference on Neural Engineering, San Francisco, CA, March 20th-23rd, 2019 

P. Donaldson, L. Ghanbari, M. Rynes, S. B. Kodandaramaiah, S. Swisher, Inkjet-Printed Silver Electrode Array for In-Vivo Electrocorticography,  9th International IEEE EMBS Conference on Neural Engineering, San Francisco, CA, March 20th-23rd, 2019

 

HOnors and awards

University of Minnesota Informatics Institute (UMII) Graduate Assistantship 2019

The Royal Society of Chemistry award in 2018 ASME NanoEngineering for Medicine and Biology (NEMB) Conference

Honorable mention, Best Student Poster Competition, 2018 ASME NanoEngineering for Medicine and Biology (NEMB) Conference

NSF travel award for 2018 ASME NanoEngineering for Medicine and Biology (NEMB) Conference

University of Minnesota Informatics Institute (UMII) Graduate Assistantship 2017

Department of Mechanical Engineering Fellowship, 2016