Marquette University Wisconsin - Dr Daniel Rowe
 
 
 

MERYEM MUGE KARAMAN

 

 

 

 


Meryem Muge Karaman

Ph.D. Candidate in Computational Sciences

Functional Magnetic Resonance Image Analysis Lab

Department of Mathematics, Statistics, and Computer Science

Marquette University

357 Cudahy Hall
Marquette University
Milwaukee, WI 53201-1881

 

Phone: 414-288-5422

E-mail: meryem.karaman@marquette.edu

Resume: PDF

 
Research
    Computational Statistical Models for Complex-Valued Functional Magnetic Resonance Imaging:
    • Foundation of a new statistical fMRI activation model for differential T2* contrast Incorporating T1 and T2* of gray matter
    • Construction of a framework for incorporating magnetic resonance relaxivities into the reconstruction process to correct their effects and for observing the correlations induced in corrected data
    • Development of a framework for modeling time series preprocessing as linear operators and observing its statistical implications in the data.
Education
  • Ph.D. Candidate in Computational Sciences, Marquette University, Milwaukee, WI, 2009-2014 (expected)

    • Advisor: Dr. Daniel B. Rowe
    • Dissertation Subject: Incorporating MR Relaxivities for fMRI Activation, for More Accurate MR Reconstruction, and for Correlation Effect Examination.
  • M.S. in Computational Sciences, Marquette University, Milwaukee, WI, 2011.

    • Advisor: Dr. Daniel B. Rowe
    • Thesis Subject: A Statistical FMRI Model for Differential T2* Contrast
  • M.S. in Computational Sciences and Engineering, Koc University, Istanbul, Turkey, 2009.

    • Advisor: Dr. F. Sibel Salman
    • Thesis Subject: Relief Aid Stocking Decisions under Cooperation of Emergency Response Agencies
  • B.S. in Mathematical Engineering, Istanbul Technical University, Istanbul, Turkey, 2007.

Experience

    Research Experience

    Department of Mathematics, Statistics, and Computer Science, Marquette University, Milwaukee, WI.

  • 05/2013 – 08/2013: Computational Sciences Summer Research Fellows Program (CSSRFP)
  • 05/2012 – 08/2012: Computational Sciences Summer Research Fellows Program (CSSRFP)
  • 08/2011 – 12/2011: Research Assistant
  • 05/2011 – 08/2011: Computational Sciences Summer Research Fellows Program (CSSRFP)
  • 08/2010 – 05/2011: Research Assistant
  • Department of Computational Sciences and Engineering, Koc University, Istanbul, Turkey.

  • 08/2007 – 05/2009: Research Assistant

  • Teaching Experience

    Department of Mathematics, Statistics, and Computer Science, Marquette University, Milwaukee, WI.

    Teaching Assistant:
  • 01/2014 – 05/2014: Modern Elementary Statistics
  • 08/2013 – 12/2013: Modern Elementary Statistics
  • 01/2013 – 05/2013: Modern Elementary Statistics
  • 08/2012 – 12/2012: Modern Elementary Statistics
  • 01/2012 – 05/2012: Modern Elementary Statistics
  • 01/2010 – 05/2010: Modern Elementary Statistics
  • 08/2009 – 12/2009: Calculus 3
  • Department of Computational Sciences and Engineering, Koc University, Istanbul, Turkey.

    Teaching Assistant:
  • 01/2009 – 05/2009: Computer Applications
  • 08/2008 – 12/2008: Computer Applications
  • 01/2008 – 05/2008: Calculus
  • 08/2007 – 12/2007: Calculus
Publications

    Journal

  • KARAMAN MM, Nencka AS, Bruce IP, Rowe DB: Quantification of the Statistical Effects of Spatiotemporal Processinf of fcMRI Data, submitted, June 2014.

  • KARAMAN MM, Bruce IP, Rowe DB: Incorporating Relaxivities to More Accurately Reconstruct MR Images, submitted, May 2014.

  • KARAMAN MM, Bruce IP, Rowe DB: A Statistical fMRI Model for Differential T2* Contrast Incorporating T1 and T2* of Gray Matter. Magn. Reson. Imaging, 32(1):9-27, (2014).

  • Bruce IP, Karaman MM, Rowe DB: The SENSE-Isomorphism Theoretical Image Voxel Estimation (SENSE-ITIVE) Model for Reconstruction and Observing Statistical Properties of Reconstruction Operators. Magn. Reson. Imaging, 30(8):1143-1166, (2012).

  • Bruce IP, KARAMAN MM, Rowe DB: A Statistical Examination of SENSE Image Reconstruction via an Isomorphism Representation. Magn. Reson. Imaging 29(9):1267-1287 (2011).

     

  • Conference

  • Karaman MM, ROWE DB, Nencka AS: Decreasing False Positives and Negatives from Spatio-Temporal Processing of FMRI. International Society for Magnetic Resonance in Medicine 22nd Scientific Meeting, Milan, Italy, 2014.

     

  • KARAMAN MM, Bruce IP, Rowe DB: Incorporation of Gray Matter T1 and T2* Improves Brain Activation Statistics in FMRI. International Society for Magnetic Resonance in Medicine 21st Scientific Meeting, Salt Lake City, Utah, USA, 2013, p. 2285 (selected for Magna Cum Laude Award).

     

  • KARAMAN MM, Nencka AS, Rowe DB: Temporal Processing of fMRI Data Induces Functional Correlations and Potentially Alters Functional Activations. International Society for Magnetic Resonance in Medicine 21st Scientific Meeting, Salt Lake City, Utah, USA, 2013, p. 2232.

     

  • KARAMAN MM, Bruce IP, Rowe DB: A More Accurate MR Reconstruction with the Incorporation of MR Relaxivities. The Sixth International Workshop on Statistical Analysis of Neural Data (SAND6), Pittsburgh, PA, 2012.

     

  • KARAMAN MM, Elmagrabhy W, Salman FS: Relief Aid Stocking Decisions under Cooperation of Emergency Response Agencies. Proceedings of the Manufacturing and Service Operations Management Society Annual Conference (MSOM), June 27-29, 2010, Haifa, Israel.

     

Invited Talks
  • Improving the Accuracy of fMRI and fcMRI Analysis by Accounting for Spatiotemporal Processing Induced Correlations. Joint Statistical Meetings, Boston, MA, August 2014.

  • Improving fMRI Activation and MR Reconstruction via Incorporation of MR Relaxivities, and Examining the Statistical Effects of Spatiotemporal Processing of fMRI and fcMRI Data. Department of Biostatistics and Epidemiology, University of Pennsylvania, June 2014.

  • Improving fMRI Activation and MR Reconstruction via Incorporation of MR Relaxivities, and Examining the Statistical Effects of Spatiotemporal Processing of fMRI and fcMRI Data. The Center for Magnetic Resonance Research, University of Illinois College of Medicine at Chicago, April 2014.

  • Improving fMRI Activation and MR Reconstruction via Incorporation of MR Relaxivities, and Examining the Statistical Effects of Spatiotemporal Processing on Functional Correlations and Activations. Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, April 2014.

  • Quantification and Utilization of the Statistical Effects of Spatiotemporal Processing of fcMRI and fMRI data in Computing Functional Connectivity and Cognitive Brain Activation. Forward Thinking Poster Session and Colloquy, Marquette University, December 2013.

  • Improving fMRI Activation and Image Reconstruction via Incorporation of MR Relaxivities, and Examining the Statistical Effects of Temporal Processing on Functional Correlations and Activations. Center for Biomedical Imaging and Statistics, Emory University, August 2013.

  • A Statistical fMRI Model for Differential T2* Contrast Incorporating T1 and T2* of Gray Matter; Workshop on Brain Image Analysis. University of Wisconsin Madison, May 2013.

  • A Mathematical Model for Analyzing Temporal Processing Effects of Fourier Encoding Anomalies and their correction in fMRI Data. Department of Mathematics, Statistics and Computer Science, Marquette University, December 2012.

  • Incorporating Relaxivities to More Accurately Reconstruct Magnetic Resonance Images; Department of Mathematics, Statistics and Computer Science, Marquette University, November 2011.