Narges Mohammadi

Research Assistant

University of Rochester

Email: nmohamm4@ur.rochester.edu

Address: 633, Computer Studies Building (CSB), University of Rochester, Rochester, NY, US

Short Bio:

I am a Ph.D. student in the Signal, Data, and Imaging Science (SDIS) Lab, Electrical and Computer Engineering Dept., University of Rochester, working under the supervision of Prof. Mujdat Cetin, Aug 2018-Now. I am also a Ph.D. scholar in AR/VR NRT (NSF Research Traineeship) program, Aug 2020-Now.

Before that, I was a researcher (Sep 2013-Sep 2016) with the Digital Signal Processing Lab, Electrical Engineering Dept., Tehran Polytechnique (Amirkabir University of Technology) working on Compressive sensing applications on biomedical signals and signal reconstruction under the supervision of Prof. Hamidreza Amindavar. I received my MSc. and BSc. degrees in Electrical Engineering from Tehran Polytechnique in Oct. 2015 and Sep. 2013 respectively. Also, I received a second MSc. degree from ECE Dep. of the University of Rochester in Oct. 2020.

Research Interests:

My research interests are more focused on computational imaging and low-level computer vision, medical image reconstruction, optimization and machine learning, statistical signal processing tools for Artificial Intelligence (AI), digital camera imaging (ISP and graphics), and visual computing for computer architects. I am currently developing constrained optimization algorithms composed of AI and physical models that solve challenging inverse imaging problems including global image restoration tasks (like image reconstruction) and local ones (such as image deconvolution, super-resolution, deblurring, etc.). Computer imagery problems consist of a broad range of imaging applications while I am concentrating on medical imaging such as MRE and Ultrasound elasticity imaging these days.

News and Upcoming Events:

(06/2024) Our paper entitled “Integrating Learning-based Priors with Physics-based Models in Ultrasound Elasticity Reconstruction” is published at IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (TUFFC), 2024!
(01/2023) Our paper entitled “Ultrasound elasticity reconstruction with inaccurate forward model using integrated data-driven correction of data-fidelity gradient” is published at Electronic Imaging, 2023!
(10/2022) Our paper entitled “Deep-learning based insitu ultrasound thermometry for thermal ablation monitoring” is published at The Journal of the Acoustical Society of America, 2022!
(08/2022) Research intern at Philips working on AI-based image super-resolution, Cambridge, MA, US
(07/2022) Attending Google’s 2022 Global PhD Fellowship Summit, July 26-27, 2022
(01/2022) Extremely excited to be selected as a scholar in CRA-W (Computing Research Association for Women) and meet you in New Orleans LA, US, Apr. 21-23, 2022
(09/2021) Extremely honored to be selected as a scholar in the 2021B class of Google’s CS Research Mentorship Program (CSRMP), US, 2021
(07/2021) Extremely excited to be awarded the Grace Hopper Celebration (GHC2021) student Scholarship, US, 2021
(06/2021) Our paper entitled “Combining physics-based modeling and deep learning for ultrasound elastography” is published at IEEE IUS2021!
(05/2021) Our paper entitled “Regularization by adversarial learning for ultrasound elasticity imaging” is published at EUSIPCO2021!
(05/2021) Our paper entitled “MR elasticity reconstruction using statistical physical modeling and explicit data-driven denoising regularizer” is published at the IEEE Statistical Signal Processing Workshop (SSP) 2021!
(02/2021) Our paper entitled “Ultrasound elasticity imaging using physics-based models and learning-based Plug-and-Play priors” is published at IEEE ICASSP2021!
(01/2021) Our paper entitled “Finite element reconstruction of stiffness images in MR elastography using statistical physical forward modeling and proximal optimization methods” is published at IEEE International Symposium on Biomedical Imaging (ISBI)!
(11/2020) Extremely honored to be selected as a scholar in the Ph.D. training program on AR/VR (NSF Research Traineeship (NRT) program)
(08/2020) Our paper entitled “A statistical framework for model-based inverse problems in ultrasound elastography” was published at IEEE Asilomar Conference on Signals, Systems, and Computers 2020!

Professional Service:

Program committee member of Learning for Computational Imaging (LCI) at ICCV 2021
Frameless Lab symposium organizer team
Technical Reviewer in Biomedical signal processing and control Journal of Elsevier (Nov 2019-Now)

Teaching Experience:

Detection and Estimation Theories, University of Rochester, Spring 2019, Spring 2022
Random Processes, University of Rochester, Fall 2020 and Fall 2021
Network Science Analytics, University of Rochester, Spring 2021 and Spring 2023
Microwave and Antenna lab instructor, Tehran Polytechnique, Spring 2014 and Spring 2015
Physics lab instructor, Tehran Polytechnique, Fall 2014 and Fall 2015

Academic Honors and Awards:

Computing Research Association (CRA2022) Scholarship, US, 2022
2021B class of Google’s CS Research Mentorship Program (CSRMP) scholar, US, 2021
Grace Hopper Celebration (GHC2021) Scholarship, US, 2021
PROGRESS scholar in ICIP 2020, ICASSP 2021
Computing Research Association (CRA2021) scholarship, US, 2021
PhD scholar in AR/VR NRT (NSF Research Traineeship) program, University of Rochester, US, 2020
Grace Hopper Celebration (GHC2020) Scholarship, US, 2020
Computing Research Association (CRA20219) Scholarship, US, 2019
Graduate Scholarship for Master program awarded from Office of Honored Student, Tehran Polytechnique (Amirkabir University of Technology), Iran, 2013
Achieved Exceptional Talent Award and Undergraduate Scholarship for TWO simultaneous Bachelor programs by Office of Honored Student, Tehran Polytechnique (Amirkabir University of Technology), Iran, 2012
Ranked in the top 0.1% of all participants of the Iranian nation-wide university entrance exam, Iran, 2009