BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20230312T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20231105T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20231109T212957Z UID:0DAC1F9B-3A2D-4A8C-8D9C-C6660E4E10F1 DTSTART;TZID=America/New_York:20231103T080000 DTEND;TZID=America/New_York:20231103T173000 DESCRIPTION:2023 IEEE Western New York Image and Signal Processing Workshop \n\n[]\n\nThe 2023 Western New York Image and Signal Processing Workshop ( WNYISPW) is a premiere venue for promoting research involving applications of AI\, image and signal processsing research in the Western New York reg ion and for facilitating iteraction between academic researchers\, industr y professionals\, and students.\n\nThe workshop is organized as a morning session\, a Poster session along with catered lunch\, and an afternoon ses sion.\nMorning session:\nOral presentations covering a diverse set of subm itted\, reviewed and accepted research submissions.\nInvited presentations on Neuroscience advances in analysis\, image & signal processing\, statis tical\, and experimental design techniques to uncover neural functions of the human brain and development of techniques for identifying anomalous ne ural behavioral patterns (neuromarkers) based on the acquisition and analy sis of inherently noisy multi-dimensional signals.\nLunch.\nPoster Session exhibiting a diverse set of submitted\, reviewed and accepted research su bmissions.\nAfternoon session:\nOral presentations covering a diverse set of submitted\, reviewed and accepted research.\nInvited presentation invol ving photonics\, imaging and real-time computational processes.\nInvited p resentations on the capabilities\, limitations\, ethical risks\, accountab ility\, and guardrails of Large Language Models and Generative AI.\nPanel discussion and debate on how Generative AI applications may be optimized t o augment\, rather than detract\, from the human experience.\n\nThe worksh op will be held in a hybrid in-person / virtual format on Friday\, Novembe r 3rd\, 2023 from 8:00 AM (check-in) to 5:30 PM at the RIT Student Develop ment Center.\n\nFor details\, see the workshop webpage at: https://ewh.iee e.org/r1/rochester/sp/WNYISPW2023.html\n\nAwards will be given for best st udent paper and best student abstract.\n\nImportant Dates:\n\nJuly 5 Paper and Poster submission opens\nOctober 16 Paper submission closes (Extended )\nOctober 20 Notification of Acceptance\nOctober 25 Submission of camera- ready paper and virtual poster files\nNovember 3 Workshop\nThe Western New York Image and Signal Processing Workshop is sponsored by the Rochester S ection of the IEEE\, the Rochester Chapter of the IEEE Signal Processing S ociety\, IEEE Computer Society and IEEE Photonics Society\, in technical c ooperation with the Rochester Chapter of the Society for Imaging Science a nd Technology.\n\nThe Western New York Image and Signal Processing Worksho p is supported by [Vanteon Wireless Solutions](https://vanteon.com/).\n\nC o-sponsored by: Rochester Section\, Region 1\n\nAgenda: \nWorkshop Agenda: \n7:30 - 8:10 AM Check-in\, Coffee & Bagels\n8:10 - 8:15 AM Introductory r emarks\n8:15 - 8:30 AM\nSponsor presentation: Maximizing Bandwidth with Mu lti-Channel/Chip Synchronization in ADVR9002-Based Software-Defined Radios \nJohn Crannel-Ash\, Vanteon Wireless Solutions\n\n8:30 - 9:15 AM Keynote address: Innovations in Neurophysiology and Approaches for the Development of Objective Inter-species Disease Neuromarkers.\nDr. John J. Foxe\, Chai r\, Department of Neuroscience\, University of Rochester Medical Center\n\ n9:15 - 9:45 AM Invited presentation: Uncovering Neural Signatures of Sens ory Processing in Autism\nDr. Emily Knight\, Pediatrics and Neuroscience\, University of Rochester Medical Center\n\n9:45 - 10:00 AM Cofee break\n10 :00 - 11:00 AM\nMorning Session\, Submitted papers\, each 15 minutes:\n\nD r. Ajay Anand:\nDeep Learning based in-situ Ultrasound Thermometry for The rmal Ablation Monitoring\n\nNusrat Jahan:\nFederated Learning assisted Sef l-supervised CNN for Monkeypox Diagnosis\n\nBriana Santo:\nARTSA: A New De sktop Application for Automated Renal Tubular Segmentation and Analysis\n\ nSiladitya Khan:\nQuantifying Strain Dependence of Multi-frequency Shearwa ve Elastography\n\n11:00 - 11:30 AM\nInvited presentation: Investigation A ttention across the Auditory System using Forward\nModeling of Brain Activ ity\nDr. Ross Maddox\, Neuroscience and Biomedical Engineering\, URMC\n\n1 1:30 - 12:00 AM Invited presentation: Inferring the Computations & Organiz ation of Human Auditory Cortex\nDr. Samuel Norman-Haignere\, Neuroscience\ , BME & Computational Biology\, URMC\n\n12:00 - 12:30 PM\nLunch\n\n12:00 - 1:30 PM\nPoster Session:\n\nLuke Kurlandski\, Nate Mathews\, Xin-Miao Lin \, Dr. Reynold Bailey\, Dr. Tre DiPassio\,\nJenna Rutowski\, Chris Humphry \, Bryce Gernon\, Henry Zelenak\, Yijing Kelly Wu\,\nCaitlin Dreisbach\, D r. Carlos Max-Perera\, Sergei Chuprov\, Roman Zatsarenko\, Ninad Kale\, Ar nab Ghosh\, Sougato Bagchi\, Debamitra Chakraborty\, Shaik Akib Ahahriya.\ n\n1:30 - 1:45 PM\nInvited presentation: Real-Time Assembly of Gigavoxel M osaics using Two-Photon\nMicroscopy during Surgery\nDr. Michael Giocomelli \, Biomedical Engineering & Institute of Optics\, University of Rochester\ n\n1:45 - 3:00 PM\nAfternoon Session\, Submitted papers\, each 15 minutes: \n\nIlyes Benslimane:\nSingle-subject Self-calibrating Network (BIOPHYSICS S-DL) with an Improved Prediction Model for X-separation with Histological Validation\n\nDebamitra Chakraborty:\nMonitoring the Effectiveness of Pan creatic Ductal Adenocarcinoma Treatment Therapies with Terahertz Spectrosc opy\n\nMd Yusuf Harun:\nPrioritized Training on Rehearsal Samples for Effi cient Online Continual Learning\n\nDr. Akshay Agarwal:\nAttention-guided M ulti-attribute Architecture for Deepfake Analysis\n\nDr. Dima Dera:\nRobus t Bayesian Vision Transformer for Image Analysis and Classification\n\n3:0 0 - 3:10 PM Coffee break\n3:10 - 3:15 PM Awards for Best student paper and Best student abstract\n3:15 - 3:30 PM\nInvited presentation: Generating I nterleaved Image-Text\, a New Task in Generative AI\nJie An\, Department o f Computer Science\, University of Rochester\n\n3:30 - 3:45 PM Invited pre sentation: The Current Capabilities and Limitations of Generative AI\nDr. Chris Kanan\, Department of Computer Science\, University of Rochester\n\n 3:45 - 4:00 PM Invited presentation: High-level Ethical Risks for Generati ve AI\nDr. Jonathan Herington\, Departmane of Philosophy\, University of R ochester\n\n4:00 - 4:15 PM Invited presentation: The Future of Chemistry i s Language\nDr. Andrew D. White\, Departmane of Chemistry\, University of Rochester\n\n4:15 - 4:30 PM Invited presentation: Accountability and Gener ative AI in Healthcare\nDr. Kathleen Fear\, School of Nursing and Director \, Data & Analytics\, UR Health Lab\n\n4:30 - 5:30 PM Panel Discussion/Deb ate: The Capabilities & Liabilities of LLMs and Generative AI\nDr. Chris K anan\, Dr. Jonathan Herington\, Dr. Andrew White and Dr. Kathleen Fear\n\n 5:30 PM Wrap-up and End of Workshop\n\nRoom: Conference Room\, Bldg: Stude nt Development Center\, Rochester Institute of Technology\, Briggs Place\, Rochester\, New York\, United States\, 14623\, Virtual: https://events.vt ools.ieee.org/m/364310 LOCATION:Room: Conference Room\, Bldg: Student Development Center\, Rochest er Institute of Technology\, Briggs Place\, Rochester\, New York\, United States\, 14623\, Virtual: https://events.vtools.ieee.org/m/364310 ORGANIZER:ekzeise@ieee.org SEQUENCE:53 SUMMARY:2023 IEEE Western New York Image and Signal Processing Workshop URL;VALUE=URI:https://events.vtools.ieee.org/m/364310 X-ALT-DESC:Description: <br /><p><span style="font-size: 23pt\;"><strong>20 23 IEEE Western New York Image and Signal Processing Workshop</strong></sp an></p>\n<p><img style="float: left\; height: 150px\; width: 297px\;" src= "https://ewh.ieee.org/r1/rochester/sp/Images_2023/WordCloud2023.jpg" alt=" " /></p>\n<p>&nbsp\;</p>\n<p>&nbsp\;</p>\n<p>&nbsp\;</p>\n<p>&nbsp\;</p>\n <p>The 2023 <span style="color: #e03e2d\;">W</span>estern <span style="col or: #e03e2d\;">N</span>ew <span style="color: #e03e2d\;">Y</span>ork <span style="color: #e03e2d\;">I</span>mage and <span style="color: #e03e2d\;"> S</span>ignal <span style="color: #e03e2d\;">P</span>rocessing <span style ="color: #e03e2d\;">W</span>orkshop (<span style="color: #e03e2d\;">WNYISP W</span>) is a premiere venue for promoting research involving application s of AI\, image and signal processsing research in the Western New York re gion and for facilitating iteraction between academic researchers\, indust ry professionals\, and students.</p>\n<p>The workshop is organized as a mo rning session\, a Poster session along with catered lunch\, and an afterno on session.<br /><strong>Morning session:</strong><br /><em>Oral presentat ions</em> covering a diverse set of submitted\, reviewed and accepted rese arch submissions.<br /><em>Invited presentations</em> on Neuroscience adva nces in analysis\, image &amp\; signal processing\, statistical\, and expe rimental design techniques to uncover neural functions of the human brain and development of techniques for identifying anomalous neural behavioral patterns (neuromarkers) based on the acquisition and analysis of inherentl y noisy multi-dimensional signals.<br /><strong>Lunch.</strong><br /><stro ng>Poster Session</strong> exhibiting a diverse set of submitted\, reviewe d and accepted research submissions.<br /><strong>Afternoon session:</stro ng><br /><em>Oral presentations</em> covering a diverse set of submitted\, reviewed and accepted research.<br /><em>Invited presentation</em> involv ing photonics\, imaging and real-time computational processes.<br /><em>In vited presentations</em> on the capabilities\, limitations\, ethical risks \, accountability\, and guardrails of Large Language Models and Generative AI.<br /><em>Panel discussion and debate</em> on how Generative AI applic ations may be optimized to augment\, rather than detract\, from the human experience.</p>\n<p>The workshop will be held in a hybrid in-person / virt ual format on Friday\, November 3rd\, 2023 from 8:00 AM (check-in) to 5:30 PM at the RIT Student Development Center.</p>\n<p>For details\, see the w orkshop webpage at: &nbsp\;<a href="https://ewh.ieee.org/r1/rochester/sp/W NYISPW2023.html">https://ewh.ieee.org/r1/rochester/sp/WNYISPW2023.html</a> </p>\n<p>Awards will be given for best student paper and best student abst ract.</p>\n<h4><strong>Important Dates:</strong></h4>\n<table style="heigh t: 174px\;" width="605">\n<thead></thead>\n<tbody>\n<tr>\n<td>July 5 &nbsp \;&nbsp\;</td>\n<td>Paper and Poster submission opens</td>\n</tr>\n<tr>\n< td>October 16</td>\n<td>Paper submission closes (Extended)</td>\n</tr>\n<t r>\n<td>October 20</td>\n<td>Notification of Acceptance</td>\n</tr>\n<tr>\ n<td>October 25</td>\n<td>Submission of camera-ready paper and virtual pos ter files</td>\n</tr>\n<tr>\n<td>November 3</td>\n<td>Workshop</td>\n</tr> \n</tbody>\n</table>\n<p><strong>The Western New York Image and Signal Pro cessing Workshop is sponsored by the Rochester Section of the IEEE\, the R ochester Chapter of the IEEE Signal Processing Society\, IEEE Computer Soc iety and IEEE Photonics Society\, in technical cooperation with the Roches ter Chapter of the Society for Imaging Science and Technology.</strong></p >\n<p><strong>The Western New York Image and Signal Processing Workshop is supported by <a title="Vanteon Wireless Solutions" href="https://vanteon. com/" target="_blank" rel="noopener">Vanteon Wireless Solutions</a>.</stro ng></p><br /><br />Agenda: <br /><p>&nbsp\;</p>\n<table style="width: 929p x\; height: 615px\;">\n<thead>\n<tr>\n<th style="text-align: left\; width: 163px\;">Workshop Agenda: &nbsp\;</th>\n<th style="width: 506px\;">&nbsp\ ;</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td style="width: 163px\;">7:30 - 8:10 AM</td>\n<td style="width: 506px\;">Check-in\, Coffee &amp\; Bagels</ td>\n</tr>\n<tr>\n<td style="width: 163px\;">8:10 - 8:15 AM</td>\n<td styl e="width: 506px\;">Introductory remarks</td>\n</tr>\n<tr>\n<td style="widt h: 163px\;">8:15 - 8:30 AM</td>\n<td style="width: 506px\;">\n<p><strong>S ponsor presentation</strong>: &nbsp\;<em>Maximizing Bandwidth with Multi-C hannel/Chip Synchronization in ADVR9002-Based Software-Defined Radios<br / ></em>John Crannel-Ash\, Vanteon Wireless Solutions</p>\n</td>\n</tr>\n<tr >\n<td style="width: 163px\;">8:30 - 9:15 AM</td>\n<td style="width: 506px \;"><strong>Keynote address</strong>: &nbsp\;<em>Innovations in Neurophysi ology and Approaches for the Development of Objective Inter-species Diseas e Neuromarkers.</em><br />Dr. John J. Foxe\, Chair\, Department of Neurosc ience\, University of Rochester Medical Center<br /><br /></td>\n</tr>\n<t r>\n<td style="width: 163px\;">9:15 - 9:45 AM</td>\n<td style="width: 506p x\;"><strong>Invited presentation</strong>: &nbsp\;<em>Uncovering Neural S ignatures of Sensory Processing in Autism</em><br />Dr. Emily Knight\, Ped iatrics and Neuroscience\, University of Rochester Medical Center<br /><br /></td>\n</tr>\n<tr>\n<td style="width: 163px\;">9:45 - 10:00 AM</td>\n<t d style="width: 506px\;">Cofee break</td>\n</tr>\n<tr>\n<td style="width: 163px\;">10:00 - 11:00 AM</td>\n<td style="width: 506px\;">\n<p><strong>Mo rning Session\, Submitted papers\, each 15 minutes:</strong></p>\n<p>Dr. A jay Anand: &nbsp\;<br />Deep Learning based in-situ Ultrasound Thermometry for Thermal Ablation Monitoring</p>\n<p>Nusrat Jahan:<br />Federated Lear ning assisted Sefl-supervised CNN for Monkeypox Diagnosis</p>\n<p>Briana S anto:<br />ARTSA: &nbsp\;A New Desktop Application for Automated Renal Tub ular Segmentation and Analysis</p>\n<p>Siladitya Khan:<br />Quantifying St rain Dependence of Multi-frequency Shearwave Elastography</p>\n</td>\n</tr >\n<tr>\n<td style="width: 163px\;">11:00 - 11:30 AM</td>\n<td style="widt h: 506px\;"><strong><br />Invited presentation</strong>: &nbsp\;<em>Invest igation Attention across the Auditory System using Forward<br />&nbsp\; &n bsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbs p\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\ ; Modeling of Brain Activity</em><br />Dr. Ross Maddox\, Neuroscience and Biomedical Engineering\, URMC<br /><br /></td>\n</tr>\n<tr>\n<td style="wi dth: 163px\;">11:30 - 12:00 AM</td>\n<td style="width: 506px\;">I<strong>n vited presentation</strong>: &nbsp\;<em>Inferring the Computations &amp\; Organization of Human Auditory Cortex</em><br />Dr. Samuel Norman-Haignere \, Neuroscience\, BME &amp\; Computational Biology\, URMC<br /><br /></td> \n</tr>\n<tr>\n<td style="width: 163px\;">12:00 - 12:30 PM</td>\n<td style ="width: 506px\;">\n<p><strong>Lunch</strong></p>\n</td>\n</tr>\n<tr>\n<td style="width: 163px\;">12:00 - 1:30 PM</td>\n<td style="width: 506px\;">\ n<p><strong>Poster Session</strong><strong>:</strong></p>\n<p>Luke Kurland ski\, Nate Mathews\, Xin-Miao Lin\, Dr. Reynold Bailey\, Dr. Tre DiPassio\ ,<br />Jenna Rutowski\, Chris Humphry\, Bryce Gernon\, Henry Zelenak\, Yij ing Kelly Wu\,<br />Caitlin Dreisbach\, Dr. Carlos Max-Perera\, Sergei Chu prov\, Roman Zatsarenko\, Ninad Kale\, Arnab Ghosh\, Sougato Bagchi\, Deba mitra Chakraborty\, Shaik Akib Ahahriya.</p>\n</td>\n</tr>\n<tr>\n<td styl e="width: 163px\;">1:30 - 1:45 PM</td>\n<td style="width: 506px\;"><strong ><br />Invited presentation</strong>: &nbsp\;<em>Real-Time Assembly of Gig avoxel Mosaics using Two-Photon</em><br /><em>&nbsp\; &nbsp\; &nbsp\; &nbs p\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\ ; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; Microscopy durin g Surgery</em><br />Dr. Michael Giocomelli\, Biomedical Engineering &amp\; Institute of Optics\, University of Rochester<br /><br /></td>\n</tr>\n<t r>\n<td style="width: 163px\;">1:45 - 3:00 PM</td>\n<td style="width: 506p x\;">\n<p><strong>Afternoon Session\, Submitted papers\, each 15 minutes:< /strong></p>\n<p>Ilyes Benslimane:<br />Single-subject Self-calibrating Ne twork (BIOPHYSICSS-DL) with an Improved Prediction Model for X-separation with Histological Validation</p>\n<p>Debamitra Chakraborty:<br />Monitorin g the Effectiveness of Pancreatic Ductal Adenocarcinoma Treatment Therapie s with Terahertz Spectroscopy</p>\n<p>Md Yusuf Harun:<br />Prioritized Tra ining on Rehearsal Samples for Efficient Online Continual Learning</p>\n<p >Dr. Akshay Agarwal:<br />Attention-guided Multi-attribute Architecture fo r Deepfake Analysis</p>\n<p>Dr. Dima Dera:<br />Robust Bayesian Vision Tra nsformer for Image Analysis and Classification</p>\n</td>\n</tr>\n<tr>\n<t d style="width: 163px\;">3:00 - 3:10 PM</td>\n<td style="width: 506px\;">C offee break</td>\n</tr>\n<tr>\n<td style="width: 163px\;">3:10 - 3:15 PM</ td>\n<td style="width: 506px\;">Awards for Best student paper and Best stu dent abstract</td>\n</tr>\n<tr>\n<td style="width: 163px\;">3:15 - 3:30 PM </td>\n<td style="width: 506px\;"><strong><br />Invited presentation</stro ng>: &nbsp\;<em>Generating Interleaved Image-Text\, a New Task in Generati ve AI</em><br />Jie An\, Department of Computer Science\, University of Ro chester<br /><br /></td>\n</tr>\n<tr>\n<td style="width: 163px\;">3:30 - 3 :45 PM</td>\n<td style="width: 506px\;"><strong>Invited presentation</stro ng>: &nbsp\;<em>The Current Capabilities and Limitations of Generative AI< /em><br />Dr. Chris Kanan\, Department of Computer Science\, University of Rochester<br /><br /></td>\n</tr>\n<tr>\n<td style="width: 163px\;">3:45 - 4:00 PM</td>\n<td style="width: 506px\;"><strong>Invited presentation</s trong>: &nbsp\;<em>High-level Ethical Risks for Generative AI</em><br />Dr . Jonathan Herington\, Departmane of Philosophy\, University of Rochester< br /><br /></td>\n</tr>\n<tr>\n<td style="width: 163px\;">4:00 - 4:15 PM</ td>\n<td style="width: 506px\;"><strong>Invited presentation</strong>: &nb sp\;<em>The Future of Chemistry is Language</em><br />Dr. Andrew D. White\ , Departmane of Chemistry\, University of Rochester<br /><br /></td>\n</tr >\n<tr>\n<td style="width: 163px\;">4:15 - 4:30 PM</td>\n<td style="width: 506px\;"><strong>Invited presentation</strong>: &nbsp\;<em>Accountability and Generative AI in Healthcare</em><br />Dr. Kathleen Fear\, School of N ursing and Director\, Data &amp\; Analytics\, UR Health Lab<br /><br /></t d>\n</tr>\n<tr>\n<td style="width: 163px\;">4:30 - 5:30 PM</td>\n<td style ="width: 506px\;"><strong>Panel Discussion/Debate</strong>: &nbsp\;<em>The Capabilities &amp\; Liabilities of LLMs and Generative AI</em><br />Dr. C hris Kanan\, Dr. Jonathan Herington\, Dr. Andrew White and Dr. Kathleen Fe ar<br /><br /></td>\n</tr>\n<tr>\n<td style="width: 163px\;">5:30 PM</td>\ n<td style="width: 506px\;">Wrap-up and End of Workshop</td>\n</tr>\n</tbo dy>\n</table>\n<p>&nbsp\;</p> END:VEVENT END:VCALENDAR