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Qi Lu, Ph.D.

Qi Lu

Associate Professor

Emailqilu [at] desu.edu

Eductation

  • Ph.D., Physics, Clemson University, 2006
  • M.S., Physics, Clemson University, 2002
  • B.S., Applied Physics, Shanghai Jiao Tong University (China), 1998

Research Interests

Dr. Lu is currently interested in understanding the interactions between nanoparticles and lipid membranes. Nanoparticles, such as gold, silver, silica, have been increasingly shown promises in the development of nanomedicine or delivery systems for the targeted treatment of cancer and other diseases. Lipid vesicles are artificial membrane systems, providing simplified platform for the study of biophysical interactions between nanoparticles and membranes.

Dr. Lu is also interested in learning about how music tuning affects the human brainwaves using EEG. Dr. Lu’s previous works include interfacing carbon nanotubes with biomolecules and optical tomography of breast cancer.

Areas of expertise

  • Imaging
  • Optics
  • Machine Learning
  • Mentoring/Coaching
  • Grant Writing

Selected Publications

  • Y. Bai, J. Chen, Q. Lu, Z. Zhao, “Optical transfer function and aberration”, Optik 206, 164243 (2020).
  • A. Bhat, K. Huan, T. Cooks, H. Boukari, Q. Lu, “Probing Interactions between AuNPs/AgNPs and Giant Unilamellar Vesicles (GUVs) Using Hyperspectral Dark-field Microscopy”, Int. J. Mol. Sci. 19, (2018).
  • A. Bhat, J. Zhao, T. Cooks, J. Ren, Q. Lu, “Dark-field microscopic study of the interactions between gold/silver nanoparticles and giant unilamellar vesicles”, Proc. SPIE 10506, Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XV, 105061C (20 February 2018); doi: 10.1117/12.2290828.
  • J. Zhao, L. Lu, Z. Tyler, K. Kong, Q. Lu, J. Ren, “Simulated Raman spectral analysis of organic molecules”, Proc. SPIE 10526, Physics and Simulation of Optoelectronic Devices XXVI, 105262I (23 February 2018); doi: 10.1117/12.2291176.
  • A. Bhat, L. W. Edwards, X. Fu, D. L. Badman, S. Huo, A. J. Jin, Q. Lu, “Effects of Gold Nanoparticles on Lipid Packing and Membrane Pore Formation”, Appl. Phys. Lett. 109, 263106 (2016).

Grants

  • DoD Research Institute for Tactical Autonomy at Howard University, “Multimodal Deep-Learning for NeuroPain”, Role: Co-PI, Amount: $431,935; Duration: 07/2023 - 07/2025.
  • NSF Division of Materials Research, “Partnership for Research and Education in Soft Matter Research &Technology and Quantum Confinement Materials Design (SMaRT QD)”, Role: Co-lead, Amount: $799,058; Duration: 9/1/2021 - 8/31/2024 (Award #2122158).