Next Seminar:

No upcoming events scheduled.

November 20, 2019 at 3:30am - Image-Based Planning and Guidance of Bronchoscopy for the Chest

Carlson Auditorium, 76-1125
November 20, 2019 at 3:30am


Lung cancer is the leading cause of cancer death worldwide, accounting for over one million deaths each year.  Many technical innovations in radiologic imaging and endoscopy have emerged recently in the effort against lung cancer.  In particular, modern radiologic imaging scanners provide three-dimensional high-resolution X-ray CT and PET images of the chest (CT = computed tomography; PET = positron emission tomography).  In addition, modern bronchoscopes enable deep navigation into the lung airway tree, while giving vivid video inside the airways and ultrasonic views outside the airways.  Nevertheless, despite the availability of these tools, the 5-year lung-cancer survival rate remains under 15%.  Our laboratory has worked toward constructing image-guided bronchoscopy (IGB) systems for the purpose of diagnosing and staging lung cancer. Our work combines methods from many branches of imaging science, including image processing, computer vision, computer graphics, and pattern recognition.  Extensive studies over the years have shown the efficacy of our efforts for accurate minimally invasive lung-cancer diagnosis and staging.  In particular, our results show: (1) system ease to use, independent of physician skill level; and (2) markedly higher procedure success than current practice. Our research has also led to the development of FDA-approved commercial systems used worldwide.  This talk will highlight our overall IGB system effort, including basic research, experimental results, and entrepreneurial research translation.

About the Speaker

William E. Higgins received the B.S. degree in electrical engineering from the Massachusetts Institute of Technology, Cambridge, MA, and the M.S. and Ph.D. degrees in electrical engineering from the University of Illinois, Urbana-Champaign. He has held positions previously at the Honeywell Systems and Research Center, Minneapolis, MN, and the Mayo Clinic, Rochester, MN. He is currently a distinguished professor of electrical engineering, computer science and engineering, and bioengineering at the Pennsylvania State University. His research interests in multidimensional medical imaging science and applications to pulmonary medicine.  During his 30-year tenure at Penn State, over 80 students have completed theses in his laboratory.  He has served on various editorial boards and conference organization committees, and is a Fellow of the IEEE. In 2019, he was named the Penn State Inventor of the Year.

November 13, 2019 at 3:30pm - How you Look at it Matters: Investigations in Hyperspectral BRDF and the Role of Serendipity in Research - Dr. Craig Coburn

Carlson Auditorium, 76-1125
November 13, 2019 at 3:30pm

The increasing reliance on optical remote sensing data to provide essential data for management and modelling of our planet has opened up many opportunities for research in remote sensing.  It has also drawn attention to the complexity of that these data represent.  In this talk, Professor Coburn will address past research into the effects and impacts of spectral reflectance variability with respect to view and illumination angles.  Research into the complex nature of a surface’s spectral reflectance field has always been hampered by lack of available instruments to conduct the measurements – it has also been restricted due to larger and more pressing questions in the science.  Has the time come to begin re-writing these basic constructs?

About the Speaker

Dr. Coburn is a remote sensing scientist working in the Department of Geography at the University of Lethbridge since 2002.  With over 20 years of remote sensing experience, Dr. Coburn focuses his research efforts on the fundamental aspects of remote sensing science, with specific interests in low-cost remote sensing solutions and remote sensing instrument development.  Recently this research has involved studying the nature of surface bidirectional spectral reflectance properties.  This research has led to the development of various instruments for the sampling of surface BRDF primarily for use in understanding agricultural crops and other biological systems as well as efforts in the calibration and validation of remote sensing instruments.


November 6, 2019 at 3:30pm - From Oracle Bones to Magna Carta - Imaging Science at the British Library

Carlson Auditorium, 76-1125
November 6, 2019 at 3:30pm


The British Library is the national library of the United Kingdom holding over 150 million items with an additional three million new items added annually. The 625 km of shelving includes manuscripts, maps, newspapers, magazines, prints, drawings, music scores and patents. The fundamental purpose of the Library is to make intellectual heritage accessible for research, inspiration and enjoyment. It is therefore imperative that these texts are legible.

The sheer variety of substrate material (paper, parchment, papyrus, bone, leather etc.) and writing material (pencil, iron-gall ink, carbon-ink, pigment etc.) presents an incredible challenge to imaging. In 2012, a new role of Conservation Research Imaging Scientist was introduced to develop strategies and solutions to resolve issues of illegibility. One of the imaging techniques adopted by the Library - multi-spectral imaging (MSI), has proven an invaluable aid to scholars.

MSI has been used on some of the Library’s most significant Treasures and has enabled discovery of a fugitive figure on a folio of Leonardo da Vinci’s notebook, brought new interpretations of the illuminations of the 14th century anonymous poem Sir Gawain & the Green Knight (one of the masterpieces of Middle English literature) to light, as well as recovering text on one of the four original 1215 Magna Carta manuscripts; the Canterbury Magna Carta.

Other imaging techniques such as micro-computed tomography have enabled 3D interpretation of items including St Cuthbert Gospel; an early 8th-century pocket gospel book written in Latin. Its finely decorated leather binding is the earliest known Western bookbinding to survive thanks to being hidden in St Cuthbert’s coffin for several years during the Viking invasions. Further processing of CT datasets has enabled true condition assessments of the Library’s oldest collection items – Chinese Oracle bones, which were used for divination over three thousand years ago.

Through a combination of multi-spectral imaging and post-processing imaging techniques, some of the primary challenges posed by fire-damaged, naturally faded and chemically damaged materials at the British Library are being overcome. This has improved accessibility, conservation and preservation practices.

About the Speaker

Christina Duffy graduated with a BSc in Physics with Astronomy from Dublin City University in 2007 before completing a PhD on Meteoritics and Planetary Science from Imperial College London in 2011. Her final thesis ‘Characterising Primitive Chondrite Components' describes a range of analytical techniques applied to meteorite samples in the process of classification. Christina has worked as Conservation Research Imaging Scientist at the British Library since 2012 and uses a range of imaging techniques and post-processing methods to enhance and recover faded or lost information from British Library collections.

October 30, 2019 at 3:30pm - Unique Strengths of CODE V Optical Design Software

Carlson Auditorium, 76-1125
October 30, 2019 at 3:30pm


This presentation provides an overview of some of the significant capabilities of CODE V software for the design of image forming systems. It will include several live demonstrations using the software.

About the Speaker

David M. Hasenauer is the CODE V Product Manager, in the Optical Solutions Group of Synopsys, Inc. (formerly Optical Research Associates, ORA). Mr. Hasenauer joined ORA in 1990 and was a member of the Engineering Services Group for nine years, where he performed optical design and analysis for systems in a wide range of application areas. As the CODE V Product Manager, he is responsible for product direction and planning, as well as the creation of technical marketing materials.

Mr. Hasenauer received his BS in Optics from the University of Rochester (New York). Prior to joining ORA/Synopsys, he worked for Texas Instruments, Inc. in Dallas, Texas. He was a member of the Group Technical Staff, and also Supervisor of TI’s Optical Design Group.

Mr. Hasenauer holds six U.S. patents and is author or co-author of seven publications in the field of optical design/engineering. He is a Senior Member of both the SPIE and OSA.

October 23, 2019 at 3:30pm - Small Data, Big Insights

Carlson Auditorium, 76-1125
October 23, 2019 at 3:30pm

Abstract: Deep learning has defined the state of the art for many computer vision tasks, thanks to advances in computing hardware and the availability of large datasets. However, for many practical applications, data acquisition and annotation can be a laborious and expensive task. This is especially true in specialized fields such as medical imaging, where annotation must be carried out by domain experts. I will describe a series of novel approaches developed at PARC to address the “Small Data” problem. This includes i) incorporating domain-specific regularizers into deep networks for robustness to sparse training; ii) data augmentation via regularized generative models; iii) automatic image annotation based on pre-trained model ensembles; iv) interactive scene annotation with augmented reality; and v) bringing the human into the loop for high quality image acquisition.


About the Speaker: Raja Bala is a Principal Scientist and Leader of the Computer Vision group at Palo Alto Research Center. His research interests are at the intersection of digital imaging, computer vision, and machine learning. Earlier he was a Principal Engineer at Samsung Research America, where he developed innovative computational imaging technologies for Samsung’s high-end smartphones. Previous to that, Bala worked for Xerox and PARC, leading efforts in a variety of imaging and vision applications, including facial health analysis, mobile document imaging, human activity monitoring with wearable sensors, license plate recognition, and traffic anomaly detection. He has served as adjunct faculty in the School of Electrical Engineering at the Rochester Institute of Technology. He is a Fellow of IS&T and Senior Member of IEEE, and holds over 100 publications and 170 patents. He is Associate Editor of the IEEE Transactions on Image Processing, and co-editor of the book “Computer Vision and Imaging in Intelligent Transportation Systems”. He received a Ph.D. in Electrical Engineering from Purdue University

October 16, 2019 at 3:30pm - Compressive Sensing for Quantum Imaging

Carlson Auditorium, 76-1125
October 16, 2019 at 3:30pm

Compressive sensing (CS) is an exciting measurement technique that effectively compresses data while it is being measured, allowing high-dimensional signals to be recovered from very few measurements. The CS approach of figuring out how to "just measure the important information" has upended traditional views on sampling and sparked enormous multidisciplinary interest over the past decade.  Remarkably, the best measurements an experimenter can use are often random.  In this talk, I will introduce the basic principles of CS and describe how it can be applied to some current problems in quantum imaging. These range from the very applied, such as how to take a picture using only one photon per pixel, to the very fundamental, such as how to characterize photonic quantum entanglement.

About the Speaker: Greg Howland is a new assistant professor in the School of Physics and Astronomy at RIT. Previously, he worked as a Postdoctoral Researcher in Prof. Stefan Preble’s Integrated Photonics Group at RIT and was a research physicist at the Air Force Research Laboratory in Rome, NY in the Quantum Information Science group. He received his PhD in Physics from the University of Rochester in 2014. His research interests are in quantum information and quantum optical technologies in bulk optics and photonic integrated circuits

September 25, 2019 at 3:30pm - Tiny Mirrors and Big Pictures: Digital micromirror device development and applications

Carlson Auditorium, 76-1125
September 25, 2019 at 3:30pm


DLP® technology has been widely used in various display products since it was introduced to the market in 1996 by Texas Instruments. It has revolutionized the century-old movie industry by replacing the traditional film with the digital display technology. The heart of the DLP® technology is the digital micromirror device (DMD), an optical microelectromechanical system, which features an addressable array of up to 8 million microscopic mirrors. This presentation will cover the design, fabrication, packaging, characterization, and reliability of the DMDs. I will discuss the challenges and solutions of several major milestones of DMD development from the micromirror design and operation point of view. Applications of the DMD in nontraditional display technologies, such as compressive line sensing-based underwater imaging technology, will be shared with the audience.

About the Speaker

Dr. Cuiling (Sue) Gong joined the Digital Micromirror Device (DMD) development team at Texas Instruments in 2000. She was the core designer of three generations of DMD pixels that had enabled a variety of DLP® products in the market including pico-projectors, projectors in classrooms, conference rooms, and movie theaters. She also conducted R&D work on micro-scale vibration based piezoelectric energy harvesting technology for autonomous wireless sensor networks. She has 8 issued US patents. In 2011 she joined the faculty of the College of Science and Engineering at Texas Christian University in Fort Worth, Texas.

September 18, 2019 at 3:30pm - Hyperspectral Imaging Applications and Novel Sensor Development

Carlson Auditorium, 76-1125
September 18, 2019 at 3:30pm


This seminar presents an application-driven approach to novel hyperspectral imaging sensor design. Brief summaries of hyperspectral imaging modalities and their relative performance are presented. Spectro-radiometric signature models are then discussed in the context of sensor and detection algorithm requirements definition. Specifically, how do we design a hyperspectral sensor with sufficient sensitivity and specificity to meet the application requirements? How do we choose the optimal sensor modality given a concept of operation or deployment? What are the size, weight, power and cost considerations? This design process is then illustrated in a discussion of two prototype systems: a UAS-borne visible/near infrared-shortwave infrared hyperspectral imager for vegetation trait mapping, and a longwave infrared hyperspectral imager employing compressive sensing and a single pixel architecture for chemical plume imaging.

About the speaker

Julia R. Dupuis, Ph.D., Vice President, Tactical Systems, Physical Sciences, Inc. Dr. Dupuis has over 20 years of experience in the development of novel optical, imaging, spectroscopic, hyperspectroscopic, and radiometric sensors for material detection and analysis. She leads PSI’s Tactical Systems enterprise which encompasses a number of optical detection programs including a compressive sensing hyperspectral imager, a visible-near infrared, shortwave infrared hyperspectral imager, an on-the-move surface contaminant detector based on a spatial heterodyne spectrometer, and a deep-UV Raman spectrometer.

September 11, 2019 at 3:30am - The Anomalous Origin of Polymer Enhanced Oil Recovery

Carlson Auditorium, 76-1125
September 11, 2019 at 3:30am

Abstract: Polymer flooding is one of the most economically viable methods for enhanced oil recovery. It is typically used in reservoirs where recovery of oil by water injection declines. Polymer enhanced oil recovery is achieved by flowing a small volume of a polymer solution into the reservoir, followed by more water. Although polymer flooding is primarily developed for increasing the viscosity of the displacing fluid to match that of the oil, enhanced recovery is observed for oils as much as two orders of magnitude more viscous than the polymer solution with surprisingly significant recovery during the second water. To understand this behavior, we use confocal microscopy and particle tracking to determine the velocities of the displacing fluid around trapped oil in a 3D micromodel of porous medium. We find that some polymer is retained in the medium resulting in reduction in the permeability and large and heterogenous changes in the local fluid velocities with as much as an order of magnitude increase in some pores, leading to further mobilization of trapped oil.

About the Speaker: Shima Parsa is an assistant professor of Physics at Rochester Institute of Technology. She has joined RIT in 2019 after her postdoctoral fellowship at Harvard University, where she studied dynamics of multiphase flow in porous media with applications in oil recovery. Shima completed her PhD in Physics at Wesleyan University, where she studied the dynamics of anisotropic particles in turbulence. She is an experimental Physicist with a passion for developing observational and imaging techniques to study Soft Matter. Her research at RIT spans from microfluidics to large scale sedimentation in river with a focus on understanding the fundamental physics of interaction between many bodies mediated by fluid flow.


April 24, 2019 at 3:30pm - Programmable beam shaping for high power laser systems - Seung-Whan Bahk, PhD

Carlson Auditorium
April 24, 2019 at 3:30pm

Seung-Whan Bahk, PhD

Research Scientist
Laboratory for Laser Energetics
University of Rochester

April 10, 2019 at 3:30pm - The medium and the message: a contrarian view of image quality - James Ferwerda, PhD

Carlson Auditorium
April 10, 2019 at 3:30pm

James Ferwerda, PhD

Associate Professor
Chester F. Carlson Center for Imaging Science
Rochester Institute of Technology

March 27, 2019 at 3:30pm - Beyond Deep Recognition: Discovering Visual Patterns in Big Visual Data - Junsong Yuan, PhD

Carlson Auditorium
March 27, 2019 at 3:30pm

Junsong Yuan, PhD

Associate Professor
Director of Visual Computing Lab
Department of Computer Science and Engineering
State University of New York at Buffalo

March 20, 2019 at 3:30pm - GBDX Notebooks et al. - It's NOT Your Grandfather's Remote Sensing Anymore - Michael S. Foster, Ph.D.

Carlson Auditorium
March 20, 2019 at 3:30pm

Michael S. Foster, Ph.D.

Director, GBDX Solutions
Digital Globe

March 6, 2019 at 3:30pm - Esports Arms Race: Latency and Refresh Rate for Competitive Gaming Tasks - Joohwan Kim, PhD

Carlson Auditorium
March 6, 2019 at 3:30pm

Joohwan Kim, PhD

Vision Scientist
New Experience Research Group
​Nvidia, Santa Clara, California

February 27, 2019 at 3:30pm - Algorithm-Hardware Co-Design for Energy-Efficient Continuous Vision - Yuhao Zhu, PhD

Carlson Auditorium
February 27, 2019 at 3:30pm

Yuhao Zhu, PhD

Assistant Professor of Computer Science
University of Rochester

February 13, 2019 at 3:30pm - Unmanned Aerial Systems and Precision Agriculture - increasing global food production, one plant at a time - Jan van Aardt, PhD

Carlson Auditorium
February 13, 2019 at 3:30pm

Jan van Aardt, PhD

Chester F. Carlson Center for Imaging Science
Rochester Institute of Technology

February 6, 2019 at 3:30pm - Assessing environmental livelihood security in coastal mangrove ecosystems using remote sensing - Eleanor Bruce, PhD

Carlson Auditorium
February 6, 2019 at 3:30pm

Eleanor Bruce, PhD

Senior Lecturer
School of Geosciences
The University of Sydney

January 30, 2019 at 3:30pm - Using coherence to tune optical scattering and seeing individual neurons with three-photon microscopy - Yangyundou Wang, PhD

Carlson Auditorium
January 30, 2019 at 3:30pm

Yangyundou Wang, PhD

Research Fellow
Wellman Center for Photomedicine at Massachusetts General Hospital
Harvard Medical School

January 23, 2019 at 3:30pm - Hyperspectral Image Analysis of the Gough Map of Britain (c. 1410): Who? What? Where? When? Why? And How? - David Messinger, PhD

Carlson Auditorium
January 23, 2019 at 3:30pm

David Messinger, PhD

Chester F. Carlson Center for Imaging Science
Rochester Institute of Technology

January 16, 2019 at 3:30pm - Intelligent Solutions for Navigating the Big Data from the Arctic and Antarctic - Maryam Rahnemoonfar, PhD

Carlson Auditorium
January 16, 2019 at 3:30pm

Maryam Rahnemoonfar, Ph.D.

Assistant Professor of Computer Science
Director of Computer Vision and Remote Sensing Laboratory (Bina Lab)
School of Engineering and Computing Sciences
Texas A&M University - Corpus Christi