ACMD Seminar: The Power of Computational Imaging: From Theory to Application

Selin Aslan
Assistant Professor, Department of Mathematics, Koç University

Tuesday, August 5, 2025, 3:00-4:00 PM ET (1:00-2:00 PM MT)

In-person at Bldg. 101 LR-D* with VTC to Boulder 1-4072
Online at: Zoom Gov (email seminar chairs for link to talk)

Abstract: Computational imaging is fundamentally reshaping how we capture and understand visual information, transcending the inherent limitations of conventional optics. By integrating advanced numerical techniques with machine learning, this dynamic field has driven significant advancements across diverse domains, including microscopy, and medical imaging. Particularly, recent strides in large-scale 3D imaging have dramatically enhanced both resolution and robustness in complex real-world environments. In this talk, I will go over pivotal aspects of computational imaging, highlighting my contributions to tomography, phase retrieval, and image segmentation. I will demonstrate how these techniques address core challenges in reconstruction and analysis, thereby unlocking new applications and fostering interdisciplinary collaborations. The discussion will also illuminate current challenges and new opportunities, aiming to spark conversations on the future trajectory of imaging science.

Bio: Selin Aslan joined Koç University in Fall 2023 as an Assistant Professor in the Department of Mathematics. Prior to this, she was a postdoctoral appointee at Argonne National Laboratory, USA, where she collaborated with an interdisciplinary team of applied mathematicians, computer scientists, and physicists to develop new algorithmic and computational capabilities for next-generation microscopy instruments. Her primary research interest lies in developing algorithmic and computational solutions for large-scale imaging problems, with a special emphasis on inverse problems and optimization. Her work spans areas such as phase retrieval, tomography, large-scale data, and deep learning.

Host: Gunay Dogan

Note: This talk will be recorded to provide access to NIST staff and associates who could not be present to the time of the seminar. The recording will be made available in the Math channel on NISTube, which is accessible only on the NIST internal network. This recording could be released to the public through a Freedom of Information Act (FOIA) request. Do not discuss or visually present any sensitive (CUI/PII/BII) material. Ensure that no inappropriate material or any minors are contained within the background of any recording. (To facilitate this, we request that cameras of attendees are muted except when asking questions.)

*Safety Precaution: The hallway leading from the Courtyard to the exit closest to B-111 and B-113 will be used by contractors to move debris, machinery, and other supplies, as well as will be heavily trafficked by the contractors throughout the process. Be aware of the safety precautions posted during this time.

Note: Visitors from outside NIST must contact Meliza Lane at least 24 hours in advance.