Call for Papers

Registration is open !

2022 IEEE Western New York Image and Signal Processing Workshop (WNYISPW)
November 4th, 2022 at the RIT Student Development Center ( 8:00 AM - 5:30 PM )
For paper or poster submission (reviewed for publication by IEEE):
Contact 2022WNYISPW@gmail.com

The IEEE Western New York Image and Signal Processing Workshop (WNYISPW) is a premier venue for promoting image and signal processing research in our area and for facilitating interaction between academic researchers, industry professionals, and students.
Link to Registration: https://events.vtools.ieee.org/m/321072

  The 2022 Western New York Image and Signal Processing Workshop is sponsored by the Rochester Section of the IEEE Signal Processing Society with technical cooperation with the Rochester Chapter of the Society for Imaging Science and Technology.

Brought to you by Orolia.

 With additional support from L3 Harris, SRC, and Vanteon.

 The workshop is organized as a morning and an afternoon session,
 each session with a Keynote address, three Invited presentations and three submitted presentations.
 Lunch and a poster session separate the two sessions.

 The workshop will be held in a hybrid in-person / virtual format on Friday, November 4th, 2022
 from 8:00 AM (check-in) to 5:30 PM (awards & wrap-up) at the RIT Student Development Center.

• Link to the RIT Campus Map: https://maps.rit.edu/
• The workshop is hybrid, available in-person or virtually using WebEx.
• Registration will provide Web access to Matlab tutorials.
• Paper submission tracks:
  1)  Full paper (archival) submission:  A four page previously unpublished paper for oral, poster, or virtual poster presentation (please indicate preference) .
       All accepted full papers (oral, poster, virtual poster) will be submitted for inclusion in IEEE Xplore as well as other abstracting and indexing databases.
       - Full papers should be developed using IEEE templates, resources and tools (links below) and submitted as PDF files.
       - Accepted full papers may become oral in-person presentations (a limited number of slots) or poster presentations.
  2)  Abstract-only (non-archival) submission:  Recent work for poster or virtual poster presentation that is not quite ready for publication, or is in review,
       or was recently accepted for publication.  Abstracts will be included in the Workshop proceedings (non-archival), but not in IEEE Xplore or other databases.
       - Abstracts should be a good summary of the work and its origins, to be presented as a poster (in-person and virtual) at the Workshop.
  
• Presentation options for an accepted submission at the Workshop:
  1)  Oral presentation (full paper only) - Limited number of 15 minute time slots (12 minute presentation, 3 minutes for Q&A) in-person or from a virtual site.
  2)  In-person Poster presentation (full paper or abstract-only) - A-frame easels for posters will be provided.
       The poster session will be held from 12:00 until 1:30 PM in the lobby area adjacent to the conference rooms.
       All in-person poster presenters should also submit a short MP4 video presentation (aim for 5 minutes) for viewing by virtual attendees (see Virtual presentation).
  3)  Virtual presentation (full paper or abstract-only) - A pre-recorded MP4 video presentation (aim for 5 minutes) of the more detailed poster version of the abstract content.
        All poster and virtual poster MP4 presentations will be advertised at the Workshop and on the Workshop web page.
        All poster and virtual poster MP4 presentations will be available over the web for in-person and virtual attendee viewing.
        We ask the corresponding author of each submitted MP4 presentation to respond to audience questions submitted via e-mail.
• Please submit full papers or abstracts for review and inclusion in the Workshop via e-mail at 2022WNYISPW@gmail.com
  
• All submissions will be peer reviewed for acceptance by a panel of academic and industry professionals according to IEEE norms.
  
• Templates provide a consistent format for papers appearing in the conference/workshop proceedings.
  IEEE resources and tools for authors: https://conferences.ieeeauthorcenter.ieee.org/write-your-paper/authoring-tools-and-templates/
  IEEE manuscript templates: https://www.ieee.org/conferences/publishing/templates.html.

Topics for the workshop include, but are not limited to:

Image Processing:

• Applications of Machine Learning and Artificial Intelligence
• Computer Vision
• Image Compression and Segmentation
• Image and Color Science
• Object Recognition and Detection
• Medical Imaging
• Human-Computer Interaction
• Video Processing and Analysis

Signal Processing:

• Radar and Wireless Communications
• Synthetic Aperture Radar
• Remote Sensing
• Electronic Intelligence
• Waveform Detection and Parameter Estimation
• Speech and Audio Enhancement and Recognition
• Applications of Machine Learning and Artificial Intelligence

Detailed Workshop Agenda (all content available in-person and remotely via WebEx or WNYISW website):

Morning Keynote presentation:

 Dr. Diane Dalecki
 Chair, Biomedical Engineering, University of Rochester
 The Kevin J. Parker Distinguished Professor in Biomedical Engineering
 Professor of Electrical and Computer Engineering
 Director, Rochester Center for Biomedical Ultrasound

 Topic:
 Biomedical Ultrasound for Quantitative Imaging, Biotechnology, and Therapy.
Abstract:  Biomedical ultrasound innovations continue to advance the impact and utility of diagnostic imaging, and new ultrasound technologies are emerging as valuable approaches for therapies and biotechnology applications. Rochester has a long history as a location for world class innovation and research in biomedical ultrasound. The Rochester Center for Biomedical Ultrasound (RCBU) provides a rich collaborative environment for advancing new diagnostic ultrasound imaging modalities, and discovering novel therapeutic applications of ultrasound in medicine and biotechnology. This presentation will provide an overview of biomedical ultrasound, and present examples of advances from our laboratory related to high-frequency, quantitative ultrasound imaging, and applications of ultrasound for tissue engineering and regenerative medicine.
Biography:   Diane Dalecki is the Kevin J. Parker Distinguished Professor in Biomedical Engineering at the University of Rochester in Rochester, NY. She is the Chair of the Department of Biomedical Engineering at the University of Rochester, and she is also the Director of the Rochester Center for Biomedical Ultrasound, a multidisciplinary center dedicated to advancing biomedical ultrasound for imaging and therapy. Dr. Dalecki is a Fellow of the Acoustical Society of America, the American Institute of Ultrasound in Medicine, and the American Institute for Medical and Biological Engineering. Her laboratory is dedicated to advancing novel diagnostic ultrasound techniques, and discovering and developing new therapeutic applications of ultrasound in medicine, biology, and biotechnology. A particular focus of her laboratory is on advancing novel ultrasound technologies for tissue engineering and regenerative medicine.

Afternoon Keynote presentation:

 Dr. James Fienup
 Robert E.Hopkins Professor of Optics
 Distinguished Scientist in the Laboratory for Laser Energetics
 Professor of Electrical and Computer Engineering
 Professor in the Center for Visual Science

 Topic:
 Sensing and Correcting Aberrations of the Hubble and James Webb Space Telescope by Solving an Inverse Problem.
Abstract:  The James Webb Space Telescope (JWST) was launched, and the 18 segments making up its 6.5-meter primary mirror have been successfully aligned. An essential part of the alignment is to solve an inverse problem: what aberrations in the primary mirror segments could give rise to the blurred image of a star taken with the telescope? The solution is then used to send commands to the telescope where actuators behind the mirror segments push and pull them into the desired shape, allowing it to produce sharp images. Similar algorithms were used to diagnose the aberrations of the Hubble Space Telescope, which allowed the construction of correction optics that gave us the beautiful images that we have enjoyed for the last 30 years.
Biography:  James R. Fienup received an AB in physics and mathematics from Holy Cross College (Worcester, MA), and MS and PhD (1975) degrees in applied physics from Stanford University, where he was a National Science Foundation graduate fellow. He performed research for 27 years at the Environmental Research Institute of Michigan and Veridian Systems, where he was a senior scientist. He joined the faculty at the University of Rochester in 2002 as the Robert E. Hopkins Professor of Optics. Professor Fienup is a fellow of Optica and of the International Society for Optical Engineering (SPIE), and is a senior member of IEEE. He was awarded the Rudolf Kingslake Medal and Prize for 1979 by the SPIE, the International Prize in Optics for 1983 by the International Commission for Optics, the Emmett N. Leith Medal by Optica for 2013 and became a member of the National Academy of Engineering in 2012. He was a distinguished visiting scientist at the Jet Propulsion Laboratory in 2009. He was editor-in-chief of the Journal of the Optical Society of America A, 1997-2003. He previously served as division editor of Applied Optics - Information Processing, and associate editor of Optics Letters. One of his papers [J.R. Fienup, “Phase Retrieval Algorithms: a Comparison,” Appl. Opt. 21, 2758-2769 (1982)] has received over 6,000 citations (Google Scholar) and is the most highly cited paper (out of over 50,000) in the journal Applied Optics.