Columbia’s Electrical Engineering Department: Prospective PhD Student Open House
Date: Friday, November 9, 2018
Location: Department of Electrical Engineering, 500 West 120th Street, 13th Fl. MUDD, NYC
Columbia University’s Electrical Engineering Department has world-class faculty involved in cutting-edge research. The Department’s small size allows highly individualized attention to our PhD students.
The Department invites juniors and seniors from undergraduate institutions to a special open house event in New York City, one of the most dynamic and diverse metropolises in the world. At this event, you will have the opportunity to meet our faculty and graduate students and learn about the exciting opportunities Columbia has to offer.
To apply, please complete this short application. Applications must be received by October 20, 2018 and students will be notified by October 25, 2018. We will cover the cost for one night of lodging, food, and on-ground transportation. Students traveling from outside of New York City will be reimbursed for up to $250.00 for their travel expenses.
Congratulations to Jimmy! His first manuscript was recently published in the Optics Express Journal.
James P. McLean, Yuye Ling, and Christine P. Hendon. Frequency-Constrained Robust Principle Component Analysis: A Sparse Representations approach to Segmentation of Dynamic Features in Optical Coherence imaging. Optics Express. 25(21). pp. 25819-25830. (2017)
Dr. Christine Hendon and Dr. Richard Ha were recently selected as a recipient of a 2017 Irving Institute Collaborative and Multidisciplinary Pilot Research award for Basic Science and Clinical/Translational Investigators (CaMPR-BASIC) for our project “Deep Learning for Computer Aided Identification of Breast Cancer Margins within Optical Images.” Award duration: August 1, 2017 – July 31, 2018.
Congratulations Dr. Hendon and Dr. Ha
Congratulations to Yuye! His first manuscript was recently accepted to the Lasers in Surgery and Medicine Journal! This work is a collaborative effort between the Structure-Function Imaging Laboratory, Columbia University Medical Center, and Yale University.
Yuye Ling, Xinwen Yao, Ute T. Gamm, Emilio S. Arteaga-Solis, Charles W. Emala, Michael A. Choma, and Christine P. Hendon. Ex vivo visualization of human ciliated epithelium and quantitative analysis of induced flow dynamics by using optical coherence tomography. Lasers in Surgery and Medicine. (2017) In Press (Selected as Editor’s Choice Paper)
Two of our manuscripts have been recently published, both utilizing optical coherence tomography to further study collagen fiber organization within organ systems.
Qu D, Chuang PJ, Prateepchinda S, Spalazzi JP, Balasubramanian P, Yao X, Boskey AL, Doty SB, Hendon CP, and Lu HH. Micro- and Ultrastructural Characterization of Age-Related Changes at the Anterior Cruciate Ligament-to-Bone Insertion. ACS Biomaterials Science & Engineering. (2016) In Press
Wang Yao **, Yu Gan *,* Kristin Myers, Joy Vink, Ronald Wapner, and Christine P. Hendon. Pregnant and Non-Pregnant Collagen Fiber Orientation and Dispersion of the Upper Cervix. PLOS One. 11(11): e0166709. (2016) . [dataset]
Professor Ricardo Otazo
New York University School of Medicine
Imaging at the information rate: Sparse sampling & reconstruction
Wednesday, November 2, 2016 10:30 AM
Costa Commons, CESPR 750
Recent developments during the last decade in the field of applied mathematics have started to change the way we think about image acquisition and reconstruction in MRI. The conventional approach of acquiring one k-space sample per image pixel (Nyquist rate) is inefficient and rather wasteful, since the information content is usually much lower than the number of pixels. The introduction of compressed sensing, which attempts to acquire data at the information rate rather than at the Nyquist rate by exploiting image sparsity and incoherent sampling, started a new era in the development of rapid, efficient and information-rich MRI techniques. This talk will discuss recent developments that go beyond increasing imaging speed and provide new information of clinical interest, such as (1) continuous data acquisition with extra-dimensional reconstruction (e.g., 5D cardiac MRI and 5D contrast-enhanced abdominal MRI); (2) low-rank plus sparse (L+S) models for automatic background suppression and learning of motion fields.
Ricardo Otazo (firstname.lastname@example.org) is an Associate Professor of Radiology at New York University School of Medicine. He received his B.Sc. in Electrical Engineering from Universidad Catolica de Asuncion, Paraguay in 2001, and his M.Sc. and Ph.D. in Electrical Engineering from the University of New Mexico in 2005 and 2007 respectively. His research work aims at developing rapid MRI and low-dose CT techniques using advanced mathematical and physical models based on compressed sensing and low-rank matrix completion.
Hosted by Professor Christine Hendon
Congratulations to Yu. His paper was recently accepted to the Journal of Biomedical Optics.
Gan Y, Tsay D, Amir SB, Marboe CC, and Hendon CP. Automated classification of optical coherence tomography images of human atrial tissue. Journal of Biomedical Optics. 21 (10), 101407 (October 2016).