Academic Profile

Associate Professor Manojit Pramanik received his Ph.D. degree (2010) in Biomedical Engineering from Washington University in St. Louis, Missouri, USA under the tutelage of Professor Lihong Wang. He joined the School of Chemical and Biomedical Engineering (SCBE) at Nanyang Technological University (NTU), Singapore in January 2014. He obtained his masters (M.Tech.) degree from Department of Instrumentation at Indian Institute of Science (IISc), Bangalore, India in 2004. He did his undergraduate (B.Tech) from the Department of Electrical Engineering at Indian Institute of Technology (IIT), Kharagpur, India in 2002. Prior to joining NTU he served as Assistant Professor in the Department of Electrical Engineering at Indian Institute of Science (IISc), Bangalore, India for one and half years. His industry experiences include two years at General Electric Global Research (GRC), Bangalore, India and one year at Philips Medical System, Bangalore, India. He is the recipient of Department of Atomic Energy (DAE), Government of India Young Scientist Research Award 2013. His research interest include 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, Healthcare Innovation, Clinical Application areas such as Breast Cancer Imaging, Brain Imaging, Pancreatic Cancer, Diabetes, Treatment Monitoring etc. He has more than 240 international journal and conference publications and presentations. He serves as the Editorial Board Member of the Journal of Biomedical Optics, Photoacoustics. He is a Senior Member of SPIE. Professor Pramanik is also the inaugural “Biodesign Faculty Fellow” offered by the Singapore Biodesign Programme (in collaboration with Stanford Biodesign Fellowship).
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Assoc Prof Manojit Pramanik
Associate Professor, School of Chemical and Biomedical Engineering
Assistant Chair (Academic), School of Chemical and Biomedical Engineering (SCBE)

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, Healthcare Innovation, Clinical Application areas such as Breast Cancer Imaging, Brain Imaging, Pancreatic Cancer, Diabetes, Treatment Monitoring etc.
 
  • Accurate diagnosis and analysis of intracranial hypotension with deep learning aided photoacoustic tomography in small animal model

  • Improving microbubble-assisted sonothrombolysis efficiency and its real-time monitoring using combined ultrasound and photoacoustic imaging

  • Multimodal Imaging Photoacoustic

  • Sounding out Bacteria - Understanding the bioeffects of therapeutic ultrasound on medical biofilms

  • Ultrasound-mediated implantation of Sirolimus-loaded particles into peripheral arteries to prevent restenosis post angioplasty
 
  • P. Rajendran, and M. Pramanik. (2020). Deep learning approach to improve tangential resolution in photoacoustic tomography. Biomedical Optics Express 11(12), 7311-7323.

  • P. K. Yalavarthy, S. K. Kalva, M. Pramanik, and J. Prakash. (2021). Non-local means improves total-variation constrained photoacoustic image reconstruction. Journal of Biophotonics 14(1), e202000191.

  • D. Das, K. Sivasubramanian, P. Rajendran, and M. Pramanik. (2021). Label-free high framerate imaging of circulating blood clots using a dual modal ultrasound and photoacoustic system. Journal of Biophotonics 14(3), e202000371.

  • D. Das, A. Sharma, P. Rajendran, and M. Pramanik. (2021). Another decade of photoacoustic imaging. Physics in Medicine & Biology 66(5), 05TR01.

  • X. Su, M. Rakshit, P. Das, I. Gupta, D. Das, M. Pramanik, K. W. Ng, and J. J. Kwan. (2021). Ultrasonic implantation and imaging of sound-sensitive theranostic agents for the treatment of arterial inflammation. ACS Applied Materials & Interfaces 13(21), 24422-24430.

  • J. Prakash, S. K. Kalva, M. Pramanik, and P. K. Yalavarthy. (2021). Binary photoacoustic tomography for improved vasculature imaging. Journal of Biomedical Optics 26(8), 086004.

  • P. Rajendran, and M. Pramanik. (2021). Deep-learning-based multi-transducer photoacoustic tomography imaging without radius calibration. Optics Letters 46(18), 4510-4513.