Measurement and Evaluation of Appearance I

MAAP-475
KEYNOTE: On the acquisition and reproduction of material appearance, Jon Yngve Hardeberg, Norwegian University of Science and Technology (NTNU) (Norway)

Jon Yngve Hardeberg (1971) is a professor in the department of computer science at NTNU in Gjøvik. He has a MSc in signal processing from NTNU, and a PhD in signal and image processing from the Ecole Nationale Supérieure des Télécommunications in Paris, France. Professor Hardeberg is a member of the Norwegian Colour and Visual Computing Laboratory where he teaches, supervises graduate students, manages international study programs and research projects. He has co-authored more than 200 publications. His research interests include multispectral colour imaging, print and image quality, colorimetric device characterization, colour management, cultural heritage imaging, and medical imaging.

Capture to Publication: Authenticating Digital Imagery

MWSF-525
KEYNOTE: From capture to publication: Authenticating digital imagery, its context, and its chain of custody, Matt Robben and Daniel DeMattia, Truepic (United States)

Matt Robben is the VP of Engineering for Truepic, responsible for leading new technology development across the Truepic authenticity platform and building a world-class pool of engineering talent. Prior to Truepic, Robben has helped technology groups and teams at One Medical, Dropbox, Sold. (acq. by Dropbox), and Microsoft deliver mission-critical software products to market across a variety of verticals. Robben holds a BS in computer engineering from Northwestern University.

Daniel DeMattia is the VP of Security for Truepic. He is responsible for ensuring the security and integrity of Truepic, its systems, technology and data. He brings with him more than 20 years of security experience in high risk environments that he applies to every aspect of Truepic operations. Prior to Truepic, DeMattia was head of security at SpaceX as well as Virgin Orbit, where he helped build mission critical security and communication systems that operate both on the ground and in space. In his early days, he acted as an independent penetration tester and advised on vulnerability assessment and incident response.

AI for Reconstruction and Sensing I

COIMG-125
KEYNOTE: Learning to make images, W. Clem Karl, Boston University (United States)

W. Clem Karl received his PhD in electrical engineering and computer science (in 1991) from the Massachusetts Institute of Technology, Cambridge, where he also received the SM, EE, and S degrees. He held the position of staff research scientist with the Brown-Harvard-MIT Center for Intelligent Control Systems and the MIT Laboratory for Information and Decision Systems from 1992 to 1994. He joined the faculty of Boston University in 1995, where he is currently professor of electrical and computer engineering and biomedical engineering. Prof. Karl is currently the Editor-in-Chief of the IEEE Transactions on Image Processing. He is a member of the Board of Governors of the IEEE Signal Processing Society, the Signal Processing Society Conference Board, the IEEE Transactions on Medical Imaging Steering Committee, and the Technical Committee Review Board. He co-organized two special sessions of the 2012 IEEE Statistical Signal Processing Workshop, one on Challenges in High-Dimensional Learning and one on Statistical Signal Processing and the Engineering of Materials. In 2011 he was a co-organizer of a workshop on Large Data Sets in Medical Informatics as part of the Institute for Mathematics and Its Applications Thematic Year on the Mathematics of Information. He served as an Associate Editor of the IEEE Transactions on Image Processing and was the General Chair of the 2009 IEEE International Symposium on Biomedical Imaging. He is a past member of the IEEE Image, Video, and Multidimensional Signal Processing Technical Committee and is a current member of the IEEE Biomedical Image and Signal Processing Technical Committee. Prof. Karl's research interests are in the areas of multidimensional statistical signal and image processing, estimation, inverse problems, geometric estimation, and applications to problems ranging from biomedical signal and image processing to synthetic aperture radar.

Human and Machine Perception 3D Shapes

HVEI-200
KEYNOTE: Human and machine perception of 3D shape from contour, James Elder, York University (Canada)

James Elder is a Professor and York Research Chair in human and computer vision at York University, Toronto, Canada. He is jointly appointed to the department of psychology and the department of electrical engineering & computer science at York, and is a member of York’s Centre for Vision Research (CVR) and Vision: Science to Applications (VISTA) program. He is also Director of the NSERC CREATE Training Program in Data Analytics & Visualization (NSERC CREATE DAV) and Principal Investigator of the Intelligent Systems for Sustainable Urban Mobility (ISSUM) project. His research seeks to improve machine vision systems through a better understanding of visual processing in biological systems. Dr. Elder’s current research is focused on natural scene statistics, perceptual organization, contour processing, shape perception, single-view 3D reconstruction, attentive vision systems and machine vision systems for dynamic 3D urban awareness.

Appearance Design and 3D Printing I

MAAP-478
KEYNOTE: Beyond printing: How to expand 3D applications through postprocessing, Isabel Sanz, HP Inc. (Spain)

Isabel Sanz received an MSc in mechanical engineering from the Technical University of Valencia (Spain) and from RWTH Aachen (Germany). Her current position is 3D Printing Advanced Technical Consultant at HP Inc. She complemented her studies with a master in project management from La Salle, in Barcelona (Spain). Her career at HP started as R&D Mechanical Engineer in the HP Large Format Printing business. After that experience, she moved into the 3D Printing business. There, Isabel started the benchmark printing process for Multi Jet Fusion customers. Nowadays, she is technically developing new applications and helping customers to introduce and grow the 3D printing opportunities in their products and processes. She holds 9 patents and 1 publication and she keeps looking for new and innovative ways of doing things, evangelizing the movement to additive manufacturing.

Color Rendering of Materials I

This session is jointly sponsored by: Color Imaging XXIV: Displaying, Processing, Hardcopy, and Applications, and Material Appearance 2019.

MAAP-075
KEYNOTE: Capturing appearance in text: The Material Definition Language (MDL), Andy Kopra, NVIDIA Advanced Rendering Center (Germany)

Andy Kopra is a technical writer at the NVIDIA Advanced Rendering Center in Berlin, Germany. With more than 35 years of professional computer graphics experience, he writes and edits documentation for NVIDIA customers on a wide variety of topics. He also designs, programs, and maintains the software systems used in the production of the documentation websites and printed materials.

Symmetry in Vision and Image Processing

HVEI-201
KEYNOTE: The role of symmetry in vision and image processing, Zygmunt Pizlo, University of California, Irvine (United States)

Professor Zygmunt Pizlo holds the Falmagne Endowed Chair in mathematical psychology in the department of cognitive sciences at University of California-Irvine. Pizlo received his MSc in electrical engineering (in 1978) from Politechnika, Warsaw, Poland, and PhD in electrical engineering (in 1982) from the Institute of Electron Technology, Warsaw, Poland. He then decided to pursue his interests in, and passion for natural sciences. Having been already exposed to elements of AI, he became absolutely fascinated with the possibility of studying the human mind. In 1982, he started his research on human vision at the Nencki Institute of Experimental Biology in the Polish Academy of Sciences in Warsaw. Delving into visual psychophysics as the most mature branch of experimental psychology, Pizlo received his PhD in psychology from the University of Maryland at College Park. Bob Steinman and Azriel Rosenfeld were his advisers. In 1988, he moved to the University of Maryland in College Park, MD where he received his PhD in Psychology (in 1991). He was a professor of psychological sciences at Purdue University for 26 years. In 2017, he moved to UC Irvine. Dr. Pizlo’s research focuses on psychophysics and computational modeling of 3D shape perception. He authored and co-authored two books on shape (MIT Press, 2008 and Oxford University Press, 2014) and co-edited a book on shape perception in human and computer vision (Springer, 2013). His interest in vision research extends to depth, motion, figure-ground, color, eye movement, as well as image and video processing. He has also done work on human problem solving where he adapted multiresolution/multiscale pyramids used in visual models to solve combinatorial optimization problems such as the Traveling Salesman Problem. Most recently, he has been exploring the role that symmetry and the least-action principle can play in a theoretical formalism that can explain Perception and Cognition.

SD&A Keynote I

SD&A-658
KEYNOTE: From set to theater: Reporting on the 3D cinema business and technology roadmaps, Tony Davis, RealD Inc. (United States)

Tony Davis is the VP of Technology at RealD where he works with an outstanding team to perfect the cinema experience from set to screen. Tony Davis has a Masters in Electrical Engineering from Texas Tech University, specializing in advanced signal acquisition and processing. After several years working as a Technical Staff Member for Los Alamos National Laboratory, Mr. Davis was Director of Engineering for a highly successful line of medical and industrial X-ray computed tomography systems at 3M. Later, he was the founder of Tessive, a company dedicated to improvement of temporal representation in motion picture cameras.

Production and Deployment I

AVM-036
KEYNOTE: AI and perception for automated driving – From concepts towards production, Wende Zhang, General Motors (United States)

Dr. Wende Zhang is currently the Technical Fellow on Sensing Systems at General Motors (GM). Wende has led GM’s Next Generation Perception Systems team, guiding a cross-functional global Engineering and R&D team focused on identifying next generation perception systems for automated driving and active safety since 2010. He was BFO of Lidar Systems (2017) and BFO of Viewing Systems (2014-16) at GM. Wende’s research interests include perception and sensing for automated driving, pattern recognition, computer vision, artificial intelligence, security, and robotics. He established GM’s development, execution and sourcing strategy on Lidar systems and components and transferred his research innovation into multiple industry-first applications such as Rear Camera Mirror, Redundant Lane Sensing on MY17 Cadillac Super Cruise, Video Trigger Recording on MY16 Cadillac CT6 and Front Curb Camera System on MY 16 Chevrolet Corvette. Wende was the technical lead on computer vision and the embedded researcher in the GM-CMU autonomous driving team that won the DARPA Urban Challenge in 2007. He has 75+ US patents, 35+ publications in sensing and viewing systems and received the GM highest technical awards (Boss Kettering Award) 3 times in 2015, 2016, 2017. Wende has a doctoral degree in electrical and computer engineering from Carnegie Mellon University and an MBA from Indiana University.

High Dynamic Range Imaging I

PMII-579
KEYNOTE: High dynamic range imaging: History, challenges, and opportunities, Greg Ward, Dolby Laboratories, Inc. (United States)

Greg Ward is a pioneer in the HDR space, having developed the first widely-used high dynamic range image file format in 1986 as part of the RADIANCE lighting simulation system. Since then, he has developed the LogLuv TIFF HDR and the JPEG-HDR image formats, and created Photosphere, an HDR image builder and browser. He has been involved with BrightSide Technology and Dolby's HDR display developments. He is currently a Senior Member of Technical Staff for Research at Dolby Laboratories. He also consults for the Lawrence Berkeley National Lab on RADIANCE development, and for IRYStec, Inc. on OS-level mobile display software.

Blockchain to Transform Industries

MWSF-533
KEYNOTE: Blockchain and smart contract to transform industries – Challenges and opportunities, Sachiko Yoshihama, IBM Research (Japan)

Dr. Sachiko Yoshihama is a Senior Technical Staff Member and Senior Manager at IBM Research - Tokyo. She leads a team that focuses on financial and blockchain solutions. Her research interest is to bring advanced concepts and technologies to practice and address real-world problems to transform industries. She served as a technical leader and advisor in a number of blockchain projects with clients in Japan and Asia. She joined IBM T.J. Watson Research Center in 2001, and then moved to IBM Research – Tokyo in 2003 and worked on research in information security technologies, including trusted computing, information flow control, and Web security. She served as a technology innovation leader at IBM Research Global Labs HQ in Shanghai in 2012, where she helped define research strategies for developing countries. She received her PhD from Yokohama National University (in 2010). She is a member of ACM, a senior member of Information Processing Society of Japan, and a member of IBM Academy of Technology.

Image Quality Modeling II

IQSP-306
KEYNOTE: Conscious of streaming (Quality), Alan Bovik, The University of Texas at Austin (United States)

Alan Bovik is the Cockrell Family Regents Endowed Chair Professor at The University of Texas at Austin. He has received many major international awards, including the 2019 IEEE Fourier Award, the 2017 Edwin H. Land Medal from IS&T and OSA, the 2015 Primetime Emmy Award for Outstanding Achievement in Engineering Development from the Academy of Television Arts and Sciences, and the ‘Society’ and ‘Sustained Impact’ Awards of the IEEE Signal Processing Society. His is a Fellow of the IEEE, OSA, and SPIE. His books include The Handbook of Image and Video Processing, Modern Image Quality Assessment, and The Essential Guides to Image and Video Processing. Al co-founded and was the longest-serving Editor-in-Chief of the IEEE Transactions on Image Processing and created the IEEE International Conference on Image Processing in Austin, Texas, in November, 1994.

Camera Pipelines and Processing I

PMII-582
KEYNOTE: Unifying principles of camera processing pipeline in the rapidly changing imaging landscape, Keigo Hirakawa, University of Dayton (United States)

Keigo Hirakawa is an associate professor at the University of Dayton. Prior to UD, he was with Harvard University as a Research Associate of the Department of Statistics. He simultaneously earned his PhD in electrical and computer engineering from Cornell University and his MM in jazz performance from New England Conservatory of Music. Hirakawa received his MS in electrical and computer engineering from Cornell University and BS in electrical engineering from Princeton University. He is an associate editor for IEEE Transactions on Image Processing and for SPIE/IS&T Journal of Electronic Imaging, and served on the technical committee of IEEE SPS IVMSP as well as the organization committees of IEEE ICIP 2012 and IEEE ICASSP 2017. He has received a number of recognitions, including a paper award at IEEE ICIP 2007 and keynote speeches at IS&T CGIV, PCSJ-IMPS, CSAJ, and IAPR CCIW.

SD&A Keynote 2

SD&A-640
KEYNOTE: What good is imperfect 3D?, Miriam Ross, Victoria University of Wellington (New Zealand)

Dr. Miriam Ross is Senior Lecturer in the Film Programme at Victoria University of Wellington. She works with new technologies to combine creative methodologies and traditional academic analysis. She is the author of South American Cinematic Culture: Policy, Production, Distribution and Exhibition (2010) and 3D Cinema: Optical Illusions and Tactile Experiences (2015) as well as publications and creative works relating to film industries, mobile media, virtual reality, stereoscopic media, and film festivals.

Deep Neural Net Optimization I

AVM-047
KEYNOTE: Perception systems for autonomous vehicles using energy-efficient deep neural networks, Forrest Iandola, DeepScale (United States)

Forrest Iandola completed his PhD in electrical engineering and computer science at UC Berkeley, where his research focused on improving the efficiency of deep neural networks (DNNs). His best-known work includes deep learning infrastructure such as FireCaffe and deep models such as SqueezeNet and SqueezeDet. His advances in scalable training and efficient implementation of DNNs led to the founding of DeepScale, where he has been CEO since 2015. DeepScale builds vision/perception systems for automated vehicles.

Fraud in Scientific Publications

MWSF-547
KEYNOTE: Detecting fraud in scientific publications, Edward Delp, Purdue University (United States)

Prof. Edward Delp is the Charles William Harrison Distinguished Professor of Electrical and Computer Engineering, Professor of Biomedical Engineering, and Professor of Psychological Sciences (Courtesy) at Purdue University. Edward J. Delp was born in Cincinnati, Ohio. He received his BSEE (cum laude) and MS from the University of Cincinnati, and his PhD from Purdue University. In May 2002 he received an Honorary Doctor of Technology from the Tampere University of Technology in Tampere, Finland. In 2014 Prof. Delp received the Morrill Award from Purdue University. This award honors a faculty members' outstanding career achievements and is Purdue's highest career achievement recognition for a faculty member. The Office of the Provost gives the Morrill Award to faculty members who have excelled as teachers, researchers and scholars, and in engagement missions. The award is named for Justin Smith Morrill, the Vermont congressman who sponsored the 1862 legislation that bears his name and allowed for the creation of land-grant college and universities in the United States. In 2015 Prof. Delp was named Electronic Imaging Scientist of the Year by the IS&T and SPIE. The Scientist of the Year award is given annually to a member of the electronic imaging community who has demonstrated excellence and commanded the respect of his/her peers by making significant and substantial contributions to the field of electronic imaging via research, publications and service. He was cited for his contributions to multimedia security and image and video compression. Prof. Delp is a Fellow of IEEE, SPIE, IS&T, and the American Institute of Medical and Biological Engineering.

Camera Image Quality II

IQSP-318
KEYNOTE: Benchmarking image quality for billions of images, Jonathan Phillips, Google Inc. (United States)

Jonathan Phillips is co-author of Camera Image Quality Benchmarking, a 2018 addition to the Wiley-IS&T Series in Imaging Science and Technology collection. His experience in the imaging industry spans nearly 30 years, having worked at Kodak in both chemical and electronic photography for more than 20 years followed by image scientist positions with NVIDIA and Google. Currently, he is managing a color science team at Google responsible for the display color of the Pixel phone product line. He was awarded the International Imaging Industry Association (I3A) Achievement Award for his groundbreaking work on modeling consumer-facing camera phone image quality, which is now incorporated into the IEEE Standard for Camera Phone Image Quality. Jonathan has been project lead for numerous photography standards published by I3A, IEEE, and ISO. His graduate studies were in color science at Rochester Institute of Technology and his undergraduate studies were in chemistry and music at Wheaton College (IL).

Automotive Image Sensing I

This session is jointly sponsored by: Autonomous Vehicles and Machines 2019, Image Sensors and Imaging Systems 2019, and Photography, Mobile, and Immersive Imaging 2019.

10:50IMSE-050
KEYNOTE: Recent trends in the image sensing technologies, Vladimir Koifman, Analog Value Ltd. (Israel)

Vladimir Koifman is a founder and CTO of Analog Value Ltd. Prior to that, he was co-founder of Advasense Inc., acquired by Pixim/Sony Image Sensor Division. Prior to co-founding Advasense, Mr. Koifman co-established the AMCC analog design center in Israel and led the analog design group for three years. Before AMCC, Mr. Koifman worked for 10 years in Motorola Semiconductor Israel (Freescale) managing an analog design group. He has more than 20 years of experience in VLSI industry and has technical leadership in analog chip design, mixed signal chip/system architecture and electro-optic device development. Mr. Koifman has more than 80 granted patents and several papers. Mr. Koifman also maintains Image Sensors World blog.

11:30AVM-051
KEYNOTE: Solid-state LiDAR sensors: The future of autonomous vehicles, Louay Eldada, Quanergy Systems, Inc. (United States)

Louay Eldada is CEO and co-founder of Quanergy Systems, Inc. Dr. Eldada is a serial entrepreneur, having founded and sold three businesses to Fortune 100 companies. Quanergy is his fourth start-up. Dr. Eldada is a technical business leader with a proven track record at both small and large companies and with 71 patents, is a recognized expert in quantum optics, nanotechnology, photonic integrated circuits, advanced optoelectronics, sensors and robotics. Prior to Quanergy, he was CSO of SunEdison, after serving as CTO of HelioVolt, which was acquired by SK Energy. Dr. Eldada was earlier CTO of DuPont Photonic Technologies, formed by the acquisition of Telephotonics where he was founding CTO. His first job was at Honeywell, where he started the Telecom Photonics business and sold it to Corning. He studied business administration at Harvard, MIT and Stanford, and holds a PhD in optical engineering from Columbia University.

Deep Learning I

IMAWM-405
KEYNOTE: Deep learning in the VIPER Laboratory, Edward Delp, Purdue University (United States)

Prof. Edward Delp is the Charles William Harrison Distinguished Professor of Electrical and Computer Engineering, Professor of Biomedical Engineering, and Professor of Psychological Sciences (Courtesy) at Purdue University. Edward J. Delp was born in Cincinnati, Ohio. He received his BSEE (cum laude) and MS from the University of Cincinnati, and his PhD from Purdue University. In May 2002 he received an Honorary Doctor of Technology from the Tampere University of Technology in Tampere, Finland. In 2014 Prof. Delp received the Morrill Award from Purdue University. This award honors a faculty members' outstanding career achievements and is Purdue's highest career achievement recognition for a faculty member. The Office of the Provost gives the Morrill Award to faculty members who have excelled as teachers, researchers and scholars, and in engagement missions. The award is named for Justin Smith Morrill, the Vermont congressman who sponsored the 1862 legislation that bears his name and allowed for the creation of land-grant college and universities in the United States. In 2015 Prof. Delp was named Electronic Imaging Scientist of the Year by the IS&T and SPIE. The Scientist of the Year award is given annually to a member of the electronic imaging community who has demonstrated excellence and commanded the respect of his/her peers by making significant and substantial contributions to the field of electronic imaging via research, publications and service. He was cited for his contributions to multimedia security and image and video compression. Prof. Delp is a Fellow of IEEE, SPIE, IS&T, and the American Institute of Medical and Biological Engineering.

SD&A Keynote 3

This session is jointly sponsored by: The Engineering Reality of Virtual Reality 2019, and Stereoscopic Displays and Applications XXX.

SD&A-653
KEYNOTE: Beads of reality drip from pinpricks in space, Mark Bolas, Microsoft Corporation (United States)

Mark Bolas loves perceiving and creating synthesized experiences. To feel, hear and touch experiences impossible in reality and yet grounded as designs that bring pleasure, meaning and a state of flow. His work with Ian McDowall, Eric Lorimer and David Eggleston at Fakespace Labs; Scott Fisher and Perry Hoberman at USC's School of Cinematic Arts; the team at USC's Institute for Creative Technologies; Niko Bolas at SonicBox; and Frank Wyatt, Dick Moore and Marc Dolson at UCSD informed results that led to his receipt of both the IEEE Virtual Reality Technical Achievement and Career Awards. See more at https://en.wikipedia.org/wiki/Mark_Bolas

HVEI Banquet and Speaker: Dr. Jacqueline C. Snow

Join us for a wonderful evening of conversations, a banquet dinner, and an enlightening speaker. This banquet is associated with the Human Vision and Electronic Imaging Conference (HVEI), but everyone interested in research at the intersection of human perception/cognition, imaging technologies, and art is welcome. Details coming soon. Note, please sign up for the Banquet when you register.

HVEI-221
KEYNOTE: ‘WonkaVision’ and the need for a paradigm shift in vision research, Jacqueline Snow, University of Nevada at Reno (United States)

Jacqueline Snow joined the cognitive and brain sciences group in the Department of Psychology at the University of Nevada, Reno in fall 2013. She completed her graduate training in clinical neuropsychology and cognitive neuroscience at the University of Melbourne, Australia, under the supervision of professor Jason Mattingley. Snow completed two years of post-doctoral research in the United Kingdom working with professor Glyn Humphreys of University of Birmingham. During this time, she developed a strong interest in functional magnetic resonance imaging (fMRI). She subsequently moved to Canada where she completed a further five years of post-doctoral research in the laboratories of professors Jody Culham and Melvyn Goodale at the University of Western Ontario. During this time, she developed a range of special fMRI techniques to study how objects are represented in the human brain. Now an assistant professor at the University of Nevada, Reno, Snow teaches undergraduate psychology students about the theory and practice of science, and graduate student seminars in functional magnetic resonance imaging (fMRI) and clinical neuropsychology. She also heads a research laboratory that consists of four doctoral students and a group of Honors Program students and undergraduate trainees. Together, they examine how humans recognize and make decisions about objects. They are particularly interested in studying the behavioral significance of real-world 3-D objects that one can reach out and interact with, such as tools and snack foods, and how neural structures in the brain code and represent action-relevant information. Other research topics include how object information is integrated across sensory modalities, such as vision and touch. They use a range of methodological approaches, including fMRI, psychophysics and the study of neuropsychological patients with brain damage. The lab is supported by a pilot project grant from the Center of Biomedical Research Excellence (COBRE).

Technology and Sensor Design I

IMSE-364
KEYNOTE: How CIS pixels moved from standard CMOS process to semiconductor process flavors even more dedicated than CCD ever was, Martin Waeny, TechnologiesMW (Switzerland)

Martin Waeny graduated in microelectronics IMT Neuchâtel, in 1997. In 1998 he worked on CMOS image sensors at IMEC. In 1999 he joined the CSEM, as PhD student in the field of digital CMOS image sensors. In 2000 he won the Vision prize for the invention of the LINLOG Technology and in 2001 the Photonics circle of excellence award of SPIE. In 2001 he co-founded the Photonfocus AG. In 2004 he founded AWAIBA Lda, a design-house and supplier for specialty area and linescan image sensors and miniature wafer level camera modules for medical endoscopy. AWAIBA merged 2014 into CMOSIS (www.cmosis.com) and 2015 in AMS (www.ams.com). At AMS Martin Waeny served as member of the CIS technology office and acted as director of marketing for the micro camera modules. Since 2017 he has been CEO of TechnologiesMW, an independent consulting company. Martin Waeny was a member of the founding board of EMVA the European machine vision association and the 1288 vision standard working group. His research interests are in miniaturized optoelectronic modules and application systems of such modules, 2D and 3D imaging and image sensors and use of computer vision in emerging application areas.

Data Visualization and Displays

VDA-675
KEYNOTE: Data visualization using large-format display systems, Thomas Wischgoll, Wright State University (United States)

Professor Thomas Wischgoll is the Director of Visualization Research and professor in the computer science & engineering department at Wright State University. Wischgoll received his PhD in computer science from the University of Kaiserslautern (in 2002), and was a post-doctoral researcher at the University of California, Irvine from 2003 through 2005. The Advanced Visual Data Analysis (AViDA) group at Wright State is devoted to research and support of the community in the areas of scientific visualization, medical imaging and visualiation, virtual environments, information visualization and analysis, big data analysis, and data science, etc. The AViDA group runs and supports the Appenzeller Visualization Laboratory, a state-of-the-art visualization facility that supports large-scale visualizating and fully immersive, virtual reality equipment. The Appenzeller Visualization laboratory provides access to cutting edge visualization technology and equipment, including a traditional CAVE-type setup as well as other fully immersive display environments.

Color and Spectral Imaging

IMSE-370
KEYNOTE: The new effort for hyperspectral standarization - IEEE P4001, Christopher Durell, Labsphere, Inc (United States)

Christopher Durell holds a BSEE and an MBA and has worked for Labsphere, Inc in many executive capacities. He is currently leading Business Development for Remote Sensing Technology. He has lead product development efforts in optical systems, light measurement and remote sensing systems for more than two decades. He is a member of SPIE, IEEE, IES, ASTM, CIE, CORM, ICDM and is a participant in CEOS/IVOS, QA4EO and other remote sensing groups. As of early 2018, Chris accepted the Chair position on the new IEEE P4001 Hyperspectral Standards Working Group.