Join us for a Northern California Alumni and Friends luncheon followed by a panel discussion, celebrating the Institute for AI-Driven Discovery and Innovation, moderated by Fotis Sotiropoulos, Dean, College of Engineering and Applied Sciences.
Panel Discussion with:
Richard Bravman '78, Chief Strategy Officer, Affinity Solutions
Jalal Mahmud, PhD '08, Master Inventor, IBM Watson
Reza Raji '86, CEO, Xenio Systems
Andrew Protter, PhD '83, Chief Scientific Officer, Auansa Inc.
Moderated by:
Fotis Sotiropoulos, Dean, College of Engineering and Applied Sciences
Click here for more information and to register.
The overall purpose of this seminar is to bring together people with interests in Computer Vision theory and techniques and to examine current research issues. This course will be appropriate for people who already took a Computer Vision graduate course or already had research experience in Computer Vision. To enroll in this course, you must either: (1) be in the PhD program or (2) receive permission from the instructors.
Each seminar will consist of multiple short talks (around 10 minutes) by multiple people. Students can register for 1 credit for CSE656. Registered students must attend and present a minimum of 2 or 3 talks. Everyone else is welcome to attend. Fill in https://forms.gle/pCVXovgfMfQwGqG38 to subscribe to our mailing list for further announcement.
In today's digital world, businesses need to leverage the benefits of the Digital Cloud Age by streamlining Document Organization, Storage, and Accessibility.
Michael Feingold, of Digital Onesource Consulting Solutions/DOCS Consulting, Inc. will show you how DocItUSA equips your company with the tools to efficiently capture, classify, and retrieve documents and enable seamless AI integration.
https://nysbdc.ecenterdirect.com/events/1019400
Dates: September 28-29, 2026
Location: SUNY Global Center, New York, NY
Co-hosts: Brookhaven National Laboratory, the Institute for Advanced Computational Science (IACS), and the AI Innovation Institute at Stony Brook University.
Join us for this premier annual conference that brings together researchers and thought leaders from academia, national labs, and industry to exchange ideas and foster cross-disciplinary collaboration centered on data-driven science and technology.
The theme of NYSDS 2026 is Transformational AI from Science to Society. This year's conference will focus on the ways in which artificial intelligence (AI), machine learning (ML) and robotics are impacting everything from our everyday lives to scientific endeavors. NYSDS2026 will feature the following main tracks:
Robotics and Embodied AI: advances in perception, control, learning and interaction for autonomous physical agents in real-world and scientific environments.
AI for Science: innovative applications ranging from the physical sciences to biology and medicine, and discussion of important ways in which AI is changing the nature of science.
AI for Energy: how energy is discovered and produced, how hazards are mitigated to ensure reliability of the power grid, and our search for new sources of critical minerals and materials.
AI for Risk Assessment: inventive uses of large amounts of data and the AI tools to assess and mitigate risks in national security, climate, and financial markets.
AI for Education: the ways in which education is being reimagined in the age of AI and the roadblocks to training the next generation of students.
Each track will include invited presentations, contributed talks, posters, and panel discussions.
Bio: Wenhan Gao is a fourth-year Ph.D. student in Applied Mathematics under the supervision of Professor Yi Liu. He was also a Staff Research Scientist Intern at VISA Research, where he worked on large language models (LLMs) and multi-agent systems for commerce. Wenhan's research focuses on AI for Science (AI4Sci), with a particular emphasis on generative AI. His work looks deep into the fundamental mechanisms of AI models when applied to scientific tasks, and he strives to incorporate established scientific priors, such as symmetry, into model design. He has published papers as a first or corresponding author in leading AI and computational venues, including ICLR, ICML, NeurIPS, TMLR, ACL, and the Journal of Computational Physics. In addition to his research, Wenhan has served as a reviewer and oral session chair for top AI conferences and as a lecturer for both undergraduate and graduate courses at Stony Brook University.
Location: IACS Seminar Room or Zoom
This seminar will take place in person and online*
Join Zoom Meeting: https://stonybrook.zoom.us/j/
Meeting ID: 916 7009 3552
Passcode: 434045
Visual Analytics and Machine Learning for Biomedical Imaging Diagnosis
Arie Kaufman
We present an integrated approach using visual analytics and machine learning (ML) to diagnose abnormalities in 3D radiological imaging and biological microscopes. The primary example will involve 3D virtual pancreatography (VP), a novel visualization-ML procedure and application for non-invasive diagnosis and classification of pancreatic lesions, the precursors of pancreatic cancer. Currently, non-invasive screening of patients is performed through visual inspection of 2D axis-aligned CT images, though the relevant features are often not clearly visible nor automatically detected. VP is an end-to-end visual diagnosis system that includes an ML-based automatic segmentation of the pancreatic gland and the lesions, a semi-automatic approach to extract the primary pancreatic duct, an ML-based automatic classification of lesions into four prominent types, and specialized 3D and 2D exploratory visualizations of the pancreas, lesions and surrounding anatomy. We combine volume rendering with pancreas- and lesion-centric visualizations and measurements for effective diagnosis. We designed VP through close collaboration and feedback from expert radiologists, and evaluated it on multiple real-world CT datasets with various pancreatic lesions and case studies examined by the expert radiologists. Other applications include virtual colonoscopy, COVID-19, pathology, brain neurites, etc.
Biography: Arie Kaufman is Distinguished Professor and formerChair of the Department of Computer Science at Stony Brook University, where he is also Director of the Center for Visual Computing (CVC), and Chief Scientist at the Center of Excellence in Wireless and Information Technology (CEWIT).
He received his PhD in Computer Science at Ben-Gurion University of the Negev in 1977. He is known for his work in visualization, graphics, virtual reality, user interfaces, multimedia, and their applications, especially in bio-medicine. He is especially well known for his work on the 3-dimensional virtual colonoscopy, a revolutionary low-risk technique for colon cancer screening, and for pioneering the use of Graphics Processing Units (GPUs) and GPU-clusters. In 2012, he presided over the development and opening of the Reality Deck, the largest virtual reality display in the world, at Stony Brook University.
Kaufman was the founding Editor in Chief of IEEE Transactions on Visualization and Computer Graphics (TVCG), co-founded the IEEE Visualization Conference and Volume Graphics series, and is currently the director of IEEE Computer Society Technical Committee on Visualization and Graphics. He is an IEEE Fellow, ACM Fellow, winner of many awards, including the IEEE Visualization Career Award, and member of the European Academy of Sciences.
Steven Skiena is inviting you to a scheduled Zoom meeting.
Topic: AI Seminar: Arie Kaufman
Time: Apr 21, 2021 10:00 AM Eastern Time (US and Canada)
Join Zoom Meeting
https://stonybrook.zoom.us/j/