2023 IEEE Western New York Image and Signal Processing Workshop

2023 IEEE Western New York Image and Signal Processing Workshop

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The 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 region and for facilitating iteraction between academic researchers, industry professionals, and students.

The workshop is organized as a morning session, a Poster session along with catered lunch, and an afternoon session.
Morning session:
Oral presentations covering a diverse set of submitted, reviewed and accepted research submissions.
Invited presentations on Neuroscience advances in analysis, image & signal processing, statistical, and experimental 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 inherently noisy multi-dimensional signals.
Lunch.
Poster Session exhibiting a diverse set of submitted, reviewed and accepted research submissions.
Afternoon session:
Oral presentations covering a diverse set of submitted, reviewed and accepted research.
Invited presentation involving photonics, imaging and real-time computational processes.
Invited presentations on the capabilities, limitations, ethical risks, accountability, and guardrails of Large Language Models and Generative AI.
Panel discussion and debate on how Generative AI applications may be optimized to augment, rather than detract, from the human experience.

The workshop will be held in a hybrid in-person / virtual format on Friday, November 3rd, 2023 from 8:00 AM (check-in) to 5:30 PM at the RIT Student Development Center.

For details, see the workshop webpage at: https://ewh.ieee.org/r1/rochester/sp/WNYISPW2023.html

Awards will be given for best student paper and best student abstract.

Important Dates:

July 5 Paper and Poster submission opens
October 16 Paper submission closes (Extended)
October 20 Notification of Acceptance
October 25 Submission of camera-ready paper and virtual poster files
November 3 Workshop

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

The Western New York Image and Signal Processing Workshop is supported by [Vanteon Wireless Solutions](https://vanteon.com/).

Co-sponsored by: Rochester Section, Region 1

Agenda:
Workshop Agenda:
7:30 – 8:10 AM Check-in, Coffee & Bagels
8:10 – 8:15 AM Introductory remarks
8:15 – 8:30 AM

Sponsor presentation: Maximizing Bandwidth with Multi-Channel/Chip Synchronization in ADVR9002-Based Software-Defined RadiosJohn Crannel-Ash, Vanteon Wireless Solutions

8:30 – 9:15 AM Keynote address: Innovations in Neurophysiology and Approaches for the Development of Objective Inter-species Disease Neuromarkers.
Dr. John J. Foxe, Chair, Department of Neuroscience, University of Rochester Medical Center

9:15 – 9:45 AM Invited presentation: Uncovering Neural Signatures of Sensory Processing in Autism
Dr. Emily Knight, Pediatrics and Neuroscience, University of Rochester Medical Center

9:45 – 10:00 AM Cofee break
10:00 – 11:00 AM

Morning Session, Submitted papers, each 15 minutes:

Dr. Ajay Anand:
Deep Learning based in-situ Ultrasound Thermometry for Thermal Ablation Monitoring

Nusrat Jahan:
Federated Learning assisted Sefl-supervised CNN for Monkeypox Diagnosis

Briana Santo:
ARTSA: A New Desktop Application for Automated Renal Tubular Segmentation and Analysis

Siladitya Khan:
Quantifying Strain Dependence of Multi-frequency Shearwave Elastography

11:00 – 11:30 AM
Invited presentation: Investigation Attention across the Auditory System using Forward
Modeling of Brain Activity
Dr. Ross Maddox, Neuroscience and Biomedical Engineering, URMC

11:30 – 12:00 AM Invited presentation: Inferring the Computations & Organization of Human Auditory Cortex
Dr. Samuel Norman-Haignere, Neuroscience, BME & Computational Biology, URMC

12:00 – 12:30 PM

Lunch

12:00 – 1:30 PM

Poster Session:

Luke Kurlandski, Nate Mathews, Xin-Miao Lin, Dr. Reynold Bailey, Dr. Tre DiPassio,
Jenna Rutowski, Chris Humphry, Bryce Gernon, Henry Zelenak, Yijing Kelly Wu,
Caitlin Dreisbach, Dr. Carlos Max-Perera, Sergei Chuprov, Roman Zatsarenko, Ninad Kale, Arnab Ghosh, Sougato Bagchi, Debamitra Chakraborty, Shaik Akib Ahahriya.

1:30 – 1:45 PM
Invited presentation: Real-Time Assembly of Gigavoxel Mosaics using Two-Photon
Microscopy during Surgery
Dr. Michael Giocomelli, Biomedical Engineering & Institute of Optics, University of Rochester

1:45 – 3:00 PM

Afternoon Session, Submitted papers, each 15 minutes:

Ilyes Benslimane:
Single-subject Self-calibrating Network (BIOPHYSICSS-DL) with an Improved Prediction Model for X-separation with Histological Validation

Debamitra Chakraborty:
Monitoring the Effectiveness of Pancreatic Ductal Adenocarcinoma Treatment Therapies with Terahertz Spectroscopy

Md Yusuf Harun:
Prioritized Training on Rehearsal Samples for Efficient Online Continual Learning

Dr. Akshay Agarwal:
Attention-guided Multi-attribute Architecture for Deepfake Analysis

Dr. Dima Dera:
Robust Bayesian Vision Transformer for Image Analysis and Classification

3:00 – 3:10 PM Coffee break
3:10 – 3:15 PM Awards for Best student paper and Best student abstract
3:15 – 3:30 PM
Invited presentation: Generating Interleaved Image-Text, a New Task in Generative AI
Jie An, Department of Computer Science, University of Rochester

3:30 – 3:45 PM Invited presentation: The Current Capabilities and Limitations of Generative AI
Dr. Chris Kanan, Department of Computer Science, University of Rochester

3:45 – 4:00 PM Invited presentation: High-level Ethical Risks for Generative AI
Dr. Jonathan Herington, Departmane of Philosophy, University of Rochester

4:00 – 4:15 PM Invited presentation: The Future of Chemistry is Language
Dr. Andrew D. White, Departmane of Chemistry, University of Rochester

4:15 – 4:30 PM Invited presentation: Accountability and Generative AI in Healthcare
Dr. Kathleen Fear, School of Nursing and Director, Data & Analytics, UR Health Lab

4:30 – 5:30 PM Panel Discussion/Debate: The Capabilities & Liabilities of LLMs and Generative AI
Dr. Chris Kanan, Dr. Jonathan Herington, Dr. Andrew White and Dr. Kathleen Fear

5:30 PM Wrap-up and End of Workshop

Room: Conference Room, Bldg: Student Development Center, Rochester Institute of Technology, Briggs Place, Rochester, New York, United States, 14623, Virtual: https://events.vtools.ieee.org/m/364310