University of Illinois at Urbana-Champaign
The Grainger College of Engineering
Fan Lam
Fan Lam
Assistant Professor
(217) 300-3713
4061 Beckman Institute

For More Information

Education

  • M.S., Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 2011

Academic Positions

  • Affiliated faculty of Beckman Institute for Advanced Science and Technology, 08/2018 - Present, 0%
  • Affiliated faculty of Electrical and Computer Engineering, 10/2018 - Present, 0%
  • Affiliated faculty of Carle-Illinois College of Medicine, 03/2020 - Present, 0%
  • Affiliated faculty of the Carl R. Woese Institute for Genomic Biology, 10/2020 - Present, 0%
  • Assistant Professor of Bioengineering, 08/2018 - Present, 100%
  • Beckman Institute Postdoctoral Fellowship, Biomedical Imaging and Neuroimaging, University of Illinois Urbana-Champaign, 06/2015 - 08/2018

Professional Highlights

  • Elevation to IEEE Senior Member Grade
  • NIH NIGMS MIRA Award

Research Interests

  • Neuroimaging
  • Computational imaging and machine learning
  • Multimodal biochemical imaging
  • Magnetic resonance imaging
  • Biomedical imaging

Research Areas

Research Topics

  • Bioimaging at Multi-Scale

Selected Articles in Journals

Articles in Conference Proceedings

  • X. Ye, Z. Wang, F. Lam, Improved nuisance signal removal for 1H MRSI using a low-rank plus sparse model with learned subspaces, ISMRM 2022.
  • F. Lam, Y. Li, Y. Zhao, J. Haldar, Improving lipid suppression for 1H-MRSI using region-optimized virtual coils, ISMRM 2022.
  • Z. Wang, Y. Li, F. Lam, High-Resolution brain metabolite T2 mapping using optimized multi-TE MRSI, ISMRM 2022.
  • Z. Wang, F. Lam, Fast volumetric diffusion-weighted MRSI: improved acquisition and data processing, ISMRM 2022.
  • R. Zhao, Z. Wang, F. Lam, Generative image prior constrained subspace reconstruction for high-resolution MRSI, ISMRM 2022.
  • Y. Li, L. Ruhm, A. Henning, F. Lam, LeaRning nonlineAr representatIon and projectIon for faSt constrained MRSI rEconstruction (RAIISE), ISMRM 2022.
  • Y. Li, Z. Wang, F. Lam, High-SNR J-Resolved MRSI by jointly learning nonlinear representation and projection, ISMRM 2022.
  • Z. Wang, F. Lam, High resolution volumetric diffusion-weighted MRSI using a subspace approach, In Proc. of Annual Meeting of International Society for Magnetic Resonance in Medicine, 2021, p. 37.
  • F. Lam, H. Hetherington, J. Pan, Rapid MRSI of the brain on 7T using subspace-based processing, In Proc. of Annual Meeting of International Society for Magnetic Resonance in Medicine, 2021, p. 2206.
  • Z. Wang, Y. Li, F. Lam, Optimized subspace-based J-resolved MRSI for simultaneous metabolite and neurotransmitter mapping, In Proc. of Annual Meeting of International Society for Magnetic Resonance in Medicine, 2021, p. 72.
  • Y. Li, Z. Wang, F. Lam, SNR-enhancing reconstruction for multi-TE MRSI using a learned nonlinear low-dimensional model, In Proc. of Annual Meeting of International Society for Magnetic Resonance in Medicine, 2021, p. 1998.
  • Z. Wang, F. Lam, B0 inhomogeneity corrected reconstruction for low-resolution J-resolved MRSI using low-rank and spatial constraints, In Proc. of Annual Meeting of International Society for Magnetic Resonance in Medicine, 2020, p. 2911.
  • Y. Li, Z. Wang, F. Lam, Separation of metabolites and macromolecules for short-TE 1H-MRSI using learned nonlinear models, In Proc. of Annual Meeting of International Society for Magnetic Resonance in Medicine, 2020, p. 2854.
  • R.-J. Ho, F. Lam, High-resolution 3D spin-echo MRSI using interleaved water navigators, sparse sampling and subspace-based processing, In Proc. of IEEE-EMBC, 2020, pp. 1465-1468.
  • Y. Li, Z. Wang, F. Lam, Separation of metabolite and macromolecule signals for 1H-MRSI using learned nonlinear models, In Proc. of IEEE International Symposium on Biomedical Imaging (ISBI), 2020, pp. 1725-1728.
  • Y. Li, X. Peng, F. Lam, Learning nonlinear low-dimensional models for MR spectroscopic imaging using neural networks, In Proc. of ISMRM, 2019, p. 0947.

Pending Articles

  • Y. Li, Z. Wang, F. Lam, SNR enhancement for multi-TE MRSI using joint low-dimensional model and spatial constraints, IEEE Trans. Biomed. Eng., Minor revision submitted.

Patents

  • K. C. Li, G. E. Robinson, Z.-P. Liang, F. Lam, S. K. Silverman, Magnetic resonance spectroscopic imaging of brain DNA methylation, US Provisional Patent.
  • F. Lam, J. V. Sweedler, Y. Xie, Subspace approach to accelerate Fourier transform mass spectrometry imaging, US Provisional Patent.

Conferences Organized or Chaired

  • ISMRM Annual Meeting, Member Initiated Symposium Organizer (ISMRM 2018)
  • ISMRM Annual Meeting Program Committee (ISMRM 2018, Junior Fellow Observer)

Service on Department Committees

  • CS+BIOE Degree Working Group
  • Master of Science in Biomedical Image Computing Program, Faculty Program Co-Director

Teaching Honors

  • List of Teachers Ranked as Excellent (Fall 2021)
  • List of Teachers Ranked as Excellent (Fall 2019)

Research Honors

  • NIH-NIGMS Maximizing Investigators' Research Award (MIRA R35) (2021)
  • NIH-NIBIB Trailblazer Award (2020)
  • National Science Foundation CAREER Award (2020)
  • Junior Fellow of the International Society of Magnetic Resonance in Medicine (2017)
  • Best Student Paper Award, IEEE International Symposium on Biomedical Imaging (2015)
  • Robert T. Chien Memorial Award, ECE, University of Illinois (2015)
  • Beckman Institute Postdoctoral Fellowship (2015)

Public Service Honors

  • Distinguished Reviewer Award, IEEE Transactions on Medical Imaging (2020)
  • Distinguish Reviewer Awards, Magnetic Resonance in Medicine (2015-2019)

Other Honors

  • Elevation to IEEE Senior Member Grade (2021)

Recent Courses Taught

  • BIOE 205 - Signals & Systems in Bioengrg
  • BIOE 483 - Biomed Computed Imaging System
  • BIOE 486 - Appl Deep Learn Biomed Imaging
  • BIOE 504 - Analytical Methods in Bioeng

Related News