People

Faculty

Rizwan Ahmad, Ph.D.

Associate Professor
Biomedical Engineering
Electrical and Computer Engineering
The Ohio State University
460 W 12th Ave, Room 318
Office: (614) 293 6251
Email: ahmad.46@osu.edu
Research Interests:
signal processing and machine learning with application to cardiovascular MRI

Research Staff

Chong Chen, Ph.D.

Research Engineer
Biomedical Engineering
The Ohio State University
Email: chen.7211@osu.edu
Research Interests:
signal processing, compressive sensing, machine learning, and high-performance computing

Preethi Chandrasekaran, M.S.

Research Associate
Davis Heart and Lung Research Institute
The Ohio State University
Email: preethi.chandrasekaran@osumc.edu
Research Interests:
stress imaging, experiment design, data analysis, bioinformatics

Graduate Students

Sizhuo Liu, M.S.

Ph.D. Student and Research Associate
Biomedical Engineering
The Ohio State University
Email: liu.6221@osu.edu
Research Interests:
plug-and-play methods with application-specific denoisers for MRI reconstruction and self-calibrated deep learning methods for MRI reconstruction

Neha Nooman, B.S.

M.S. Student and Research Associate
Electrical and Computer Engineering
The Ohio State University
Email: nooman.3@osu.edu
Research Interests:
accelerated 4D flow imaging and stress imaging

Matt Bendel, B.S.

Ph.D. Student and Research Associate
Electrical and Computer Engineering
The Ohio State University
Email: bendel.8@osu.edu
Research Interests:
generative models for MRI recovery.

Matt Bendel is co-advised by Dr. Ahmad and Dr. Schniter.

Jeffrey Wen, M.S.

Ph.D. Student and Research Associate
Electrical and Computer Engineering
The Ohio State University
Email: wen.254@osu.edu
Research Interests:
invertible models for MRI recovery.

Jeffrey Wen is co-advised by Dr. Ahmad and Dr. Schniter.

Syed Murtaza Arshad, B.S.

Ph.D. Student and Research Associate
Electrical and Computer Engineering
The Ohio State University
Email: arshad.32@osu.edu
Research Interests:
phase-contrast and 4D flow imaging, machine learning, compressive sensing, and retrospective motion compensation

Xuan Lei, B.S.

Ph.D. Student and Research Associate
Electrical and Computer Engineering
The Ohio State University
Email: lei.337@osu.edu
Research Interests:
dynamic MRI using deep learning-based methods.

Xuan Lei is co-advised by Dr. Ahmad and Dr. Schniter.

Undergraduate Students

Mihir Joshi

B.S. Student and Undergraduate Researcher
Biomedical Engineering
The Ohio State University
Email: joshi.373@osu.edu
Research Interests:
deep learning based denoisers for dynamic imaging

Jacob Hatef

B.S. Student and Undergraduate Researcher
Computer Science
The Ohio State University
Email: hatef.4@osu.edu
Research Interests:
physiological motion extraction and deep-learning based denoising

Past Trainees

  • Shen Zaho, Ph.D. 2022, “K-space reconstruction and velocity estimation in magnetic resonance imaging,” co-advised by Dr. Potter. Current position: Post-doctoral scholar at Stanford
  • Aaron Pruitt, Ph.D. 2021, “Pushbutton 4D imaging”. Current position: Clinical MR Research Scientist with Siemens Healthineers
  • Michael Gregg, undergraduate researcher 2019-2021
  • Abhishek Vijaykumar, undergraduate honors thesis, 2019-2021
  • Jiayu Pu, undergraduate researcher, 2019-2020
  • Adam Rich, post-doctoral researcher, 2018-2019. Current position: Data Scientist at Battelle
  • Michael Bush, Ph.D. 2019, “Patient-specific prospective respiratory motion correction in cardiovascular MRI,” co-advised by Dr. Simonetti. Current position: Senior MR Research Scientist with Siemens Healthineers
  • Yuan Wang, M.S. 2018, “Comparing the sparsity of cardiac MRI data under shearlet and wavelet transforms”
  • Shen Zhao, M.S. 2017, “Chinese Remainder Theorem for Phase Unwrapping, with application to Magnetic Resonance Flow Imaging” (co-advised by Dr. Potter)
  • Christopher Ebersole, M.S. 2017, ”A Bayesian Method for Accelerated Magnetic Resonance Elastography of the Liver” (co-advised by Dr. Kolipaka)
  • Kovid Bhatnagar, M.S. 2016, “Liver Segmentation by Geometric and Texture Features using Support Vector Machine (LiGTS)” (co-advised by Dr. Kolipaka)