Manojit Pramanik


Northrop Grumman Associate Professor in Electrical and Computer Engineering
Faculty of Biomedical Engineering (BME)


115C Applied Sciences II Complex
1915 Scholl Rd
Ames, IA 50011

2129 Coover Hall
2520 Osborn Drive
Ames, IA 50011


Education: Ph.D., Biomedical Engineering, Washington University in St. Louis, Missouri (2010) M.Tech, Instrumentation Engineering, Indian Institute of Science (IISc), Bangalore, India (2004) B.Tech, Instrumentation Engineering, Indian Institute of Technology (IIT), Kharagpur, India (2002) Research Interest: Medical Imaging Systems, Photoacoustic and Thermoacoustic Imaging, Image Reconstruction, Machine Learning, Medical Image Processing, Contrast Agents, Molecular Imaging, Monte-Carlo Simulation for light-tissue interaction, Biomedical Optics, Biomedical Device Design, Clinical Application areas such as Breast Cancer Imaging, Brain Imaging, Pancreatic Cancer, Diabetes, Treatment Monitoring etc. Core Area(s): Bioengineering Department’s Strategic Area(s): Bioengineering; materials, devices & circuits


Google Scholar Profile: Manojit Pramanik (Google Scholar)

Research Lab Website:

  • X. Hui, P. Rajendran, T. Ling, X. Dai, L. Xing, and M. Pramanik, “Ultrasound-guided needle tracking with deep learning: A novel approach with photoacoustic ground truth,” Photoacoustics 34, 100575 (2023). 
  • R. Haindl, V. Bellemo, P. Rajendran, B. Tan, M. Liu, B. S. Lee, Q. Zhou, R. A. Leitgeb, W. Drexeler, L. Schmetterer, and M. Pramanik, “Visible light photoacoustic ophthalmoscopy and near-infrared-II optical coherence tomography in the mouse eye,” APL Photonics 8(10), 106108 (2023). 
  • K. C. Chong, and M. Pramanik, “Physics-guided neural network for tissue optical properties estimation,” Biomedical Optics Express 14(6), 2576-2590 (2023).
  • X. Hui, P. Rajendran, M. A. I. Zulkifli, T. Ling, and M. Pramanik, “Android mobile-platform-based image reconstruction for photoacoustic tomography,” Journal of Biomedical Optics 28(4), 046009 (2023).
  • S. Hakakzadeh, P. Rajendran, V. A. Nili, Z. Kavehvash, and M. Pramanik, “A spatial-domain factor for sparse-sampling circular-view photoacoustic tomography,” IEEE Journal of Selected Topics in Quantum Electronics 29(4), 6800409 (2023).
  • Z. Zhang, H. Jin, Z. Zheng, A. Sharma, L. Wang, M. Pramanik, and Y. Zheng, “Deep and domain transfer learning aided photoacoustic microscopy: acoustic resolution to optical resolution,” IEEE Transactions on Medical Imaging 41(12), 3636-3648 (2022).
  • X. Hui, M. O. A. Malik, and M. Pramanik, “Looking deep inside tissue with photoacoustic molecular probe: a review,” Journal of Biomedical Optics 27(7), 070901 (2022).
  • P. Rajendran, and M. Pramanik, “High frame rate (~3 Hz) circular photoacoustic tomography using single-element ultrasound transducer aided with deep learning,” Journal of Biomedical Optics 27(6), 066005 (2022).
  • P. Rajendran, and M. Pramanik, “Deep-learning-based multi-transducer photoacoustic tomography imaging without radius calibration,” Optics Letters 46(18), 4510-4513 (2021).
  • D. Das, K. Sivasubramanian, P. Rajendran, and M. Pramanik, “Label-free high framerate imaging of circulating blood clots using dual modal ultrasound and photoacoustic system,” Journal of Biophotonics 14(3), e202000371 (2021).

Primary Strategic Research Area

Engineered Medicine