Navid Nizam

Navid Nizam
  • Assistant Professor
  • Department: Biomedical Engineering
  • Research Cluster: Chemistry, Physics & Engineering
  • Institution: West Chester University of Pennsylvania
  • Email: NNizam811@wcupa.edu

Education

  • Ph.D., Biomedical Engineering, Rensselaer Polytechnic Institute, 2025
  • M.Sc., Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, 2019
  • B.Sc., Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, 2015

Research Interests

Optical ImagingBiomedical ImagingBiomedical InstrumentationDeep LearningMonte Carlo

Opportunities

Work Study Positions Available: No

Grant Funded Positions Available: Yes

A grant-funded position is available from Fall 2026 through Spring 2028 (excluding Summer ’27). This opportunity is open to BME majors only, with sophomores and juniors encouraged to apply, and offers $12.00 per hour for up to 10 hours per week. Interested students should contact Dr. Nizam at nnizam811@wcupa.edu to apply, and those seeking to begin in the fall semester should reach out by June 1, 2026.

Course-Credit Research Opportunities Available: No

Volunteer Research Positions Available: No

Biography

Navid Ibtehaj Nizam is an Assistant Professor of Biomedical Engineering at West Chester University, specializing in computational biophotonics and medical imaging. His research focuses on fluorescence diffuse optical imaging, fluorescence lifetime imaging, and deep learning–based image reconstruction, with an emphasis on developing physics-informed algorithms and simulation frameworks for improved imaging accuracy and efficiency.His work integrates Monte Carlo–based modeling, advanced instrumentation, and machine learning to address challenges in biomedical imaging, particularly in applications such as cancer detection and characterization.

List of Publications

  • Nizam, Navid Ibtehaj, Luis Chavez, Ismail Erbas, Isaiah Crosbourne, Vikas Pandey, Margarida Barroso, and Xavier Intes. "Ultra-high compression single-pixel hyperspectral fluorescence lifetime imaging powered by deep learning." In Multimodal Biomedical Imaging XXI, p. PC138410F. SPIE, 2026.
  • Erbas, Ismail, Vikas Pandey, Navid Ibtehaj Nizam, Nanxue Yuan, Amit Verma, Tynan Young, John Williams, Margarida Barroso, and Xavier Intes. "Enhancing Fluorescence Lifetime Imaging With Differential Transformer." Journal of Biophotonics 19, no. 2 (2026): e70231.
  • Yuan, Nanxue, Saif Ragab, Navid Nizam, Vikas Pandey, Amit Verma, Tynan Young, John Williams, Margarida Barroso, and Xavier Intes. "Isolating subsurface fluorescence in macroscopic lifetime imaging via high-spatial-frequency structured illumination." Journal of Physics: Photonics 7, no. 4 (2025): 045028.
  • Nizam, Navid Ibtehaj, Marien Ochoa, Jason T. Smith, and Xavier Intes. "Deep learning-based fusion of widefield diffuse optical tomography and micro-CT structural priors for accurate 3D reconstructions." Biomedical Optics Express 14, no. 3 (2023): 1041-1053.
  • Nizam, Navid Ibtehaj, Marien Ochoa, Jason T. Smith, Shan Gao, and Xavier Intes. "Monte Carlo-based data generation for efficient deep learning reconstruction of macroscopic diffuse optical tomography and topography applications." Journal of Biomedical Optics 27, no. 8 (2022): 083016-083016.

Links