December 2023 - Ai - Engineering Mailing Lists

information theory class
by Nguyen, Thinh 05 Jan '24

05 Jan '24

Hello everyone, I just want to bring to your attention that I will be teaching information theory class (ECE 566) next term. If you are interested in learning the theories and some foundational connections among various disciplines (compression, compression, machine learning, statistics, ...) then you might want to consider taking ECE 566. I am attaching the ECE 566 syllabus. If enough number of student register for ECE 566, I will offer the second course (special topics) in information theory series in the Spring term. Best, Dr. Nguyen

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SP virtual Seminar: Generative AI for Coronary Imaging (11 am, Dec 19)
by Fu, Xiao 12 Dec '23

12 Dec '23

Hi all, Please mark your calendar for the upcoming seminar before the holidays. The zoom link will be sent later today. Best, Xiao Time: 11 am Dec 19, 2023 Title: Generative AI for coronary imaging Abstract: Coronary artery disease (CAD) has been influencing a market over $2.8 billion with roughly 1,000,000 treatment procedures performed annually. Existing guidance of CAD treatment suffers from the limited spatial resolution and lacks real-time detailed pathological identification. Even the finest coronary imaging system - intravascular optical coherence tomography (IVOCT), is not able to resolve the structure at sub-cellular level and vessel characterization at sub-cellular level can only be obtained after patient’s death through histopathology. We will discuss some examples in our research team of developing a data-driven approach using generative artificial intelligence (AI) to use off-line data and training process, without any hardware modifications, to generatively produce new information that could not be acquired previously or can only be obtained ex vivo. We will also cover some latest progress in developing robust algorithms to segment medical images, including OCT images. Bio: Dr. Yu Gan is currently an Assistant Professor in the Biomedical Engineering Department at Stevens Institute of Technology. He received his Ph. D. degree in Electrical Engineering from Columbia University in 2017. Prior to Stevens, He was an Assistant Professor in the Electrical and Computer Engineering at the University of Alabama from 2018 to 2021. Dr. Gan’s research lies in machine learning and deep learning techniques that facilitate biomedical imaging and dig out hidden information from medical/biomedical images. His research has been supported by National health institute (NIH), NJ Health Foundations, National science foundation (NSF), US Department of Agriculture (USDA), Burrough Wellcome foundation, and other agency (companies). He is the recipient of 2023 NSF CAREER award. ==== Xiao Fu, Associate Professor School of Electrical Engineering and Computer Science Oregon State University Corvallis, OR 97331 http://eecs.oregonstate.edu/~fuxia<https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fpeople.ore…>

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AI Seminar : Dec 08
by Mangannavar, Rajesh Devaraddi 07 Dec '23

07 Dec '23

Dear all, Our next AI seminar is scheduled to be on December 8th, 1-2 PM. It will be followed by a 30-minute Q&A session with the graduate students. Location: KEC 1001 Zoom link: https://oregonstate.zoom.us/j/98684050301?pwd=ZzhianQxUFBPUmdYVWJKOFhaVURCQ…<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Foregonsta…> AI-related Research in Education and Counseling Cass Dykeman Professor of Counseling College of Education Oregon State University Abstract: In various professions, Artificial Intelligence has significantly influenced both research methodologies and subjects. The fields of Education and Counseling are no exceptions. This presentation will delve into how researchers at OSU’s College of Education utilize constituent elements of AI, including the analysis of: (a) collocations, (b) n-grams/skip-grams, (c) authorial stance, (d) keyness, (e) sentiment, and (f) topic models. Furthermore, I will highlight AI research tools beneficial for graduate students and faculty, such as Noteable.io, Elicit.com, Claude.ai, and Orange Data Mining. We will also address the ethical considerations surrounding the use of AI tools in crafting IMRaD manuscripts intended for submission to peer-reviewed journals. Speaker Bio: Cass Dykeman is a professor of counseling in OSU’s College of Education who received his Ph.D. in counselor education from the University of Virginia and a master's in educational psychology from the University of Washington. Prior to working in higher education, Dykeman served as an elementary school counselor in Seattle. At OSU since 1998, he holds the record for the number of dissertations completed (60), having passed James D. White of Chemistry in 2022. The last 25 of these dissertations have employed AI-related research methods. A former Army officer, Dykeman’s own research focuses on AI-augmented counterintelligence. Please watch this space for future AI Seminars : https://engineering.oregonstate.edu/EECS/research/AI<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fengineeri…> Rajesh Mangannavar, Graduate Student Oregon State University ---- AI Seminar Important Reminders: -> For graduate students in the AI program, attendance is strongly encouraged

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