The College of Professional and Global Education (CPGE)’s 2023 Online Student Conference is held during February 14-17, 2023. The Conference seeks to connect students across the college and promote student work and aims to provide an opportunity for CPGE students to share their school or professional work, help students communicate and connect with each other, and ultimately foster a stronger sense of community among students.
View Student Presentations on Conference Website
All student presentations are pre-recorded video presentations housed on the conference website. Please visit this page to view the presentations and comment!
Live Opening & Closing Session
Opening Session, Feb 14, 2023, 1-2 pm Pacific
- Keynote speaker: Mike Meth, Dean of San Jose State University Library
- Recording of Live Opening Session on Zoom (Pw: @f3!&+u9)
- Slides of the Keynote Speech (shared with a CC BY-NC 4.0 license)
Mike Meth is the Dean for the SJSU Dr. Martin Luther King, Jr, Library. Formerly, he was the Associate Dean, Research and Learning Services at the Florida State University (FSU) Libraries. Prior to joining FSU, Michael was the Director of the Ontario Institute for Studies in Education library at the University of Toronto (UofT), and before that the Director of the Li Koon Chun Finance Learning Centre, UofT Mississauga Library. While at UofT, Michael also held an appointment as adjunct faculty at the Institute for Management of Innovation at the UofT Mississauga.
Over the years, Michael has taught many graduate and undergraduate courses on a variety of topics such as leadership in libraries, finance, and on innovation (with a particular focus on the design thinking methodology). Michael has published books, chapters, articles and frequently presents on topics related to libraries including blockchain, neurodiversity, and leadership. Notable are his books “Blockchain in Libraries” (2019), and “Case Studies in Academic Library Management” (2017, co-edited).
Closing Session, Feb 17, 2023, 1-2 pm Pacific
- Keynote speaker: Dr. Luca Giancardo, Associate Professor at the Center for Precision Health, School of Biomedical Informatics, University of Texas Health Science Center at Houston
- Recording of Live Closing Session on Zoom (Pw: !j@?pcQ8)
- Slides of the Keynote Speech (shared with a CC BY-NC 4.0 license)
Dr. Luca Giancardo is an Associate Professor at the Center for Precision Health, School of Biomedical Informatics (SBMI), University of Texas Health Science Center at Houston (UTHealth) with co-appointments at the McGovern Medical School and the Institute for Stroke and Cerebrovascular Diseases, UTHealth. He is a computer scientist by training with extensive experience in image/signal analysis and machine learning applied to biomedical sciences.
His work has been applied to several biomedical applications, such as stroke diagnosis, diabetic retinopathy screening, or neurodegenerative disease tracking, and successfully translated to industry with two startups based on his methods. One, Hubble Telemedical, was acquired by Welch Allyn, another, nQ-Medical has raised significant investment. He has authored/co-authored more than 60 peer-reviewed articles which were featured by news outlets such as MIT Technology Review, Smithsonian magazine, and others. He has received multiple awards including SBMI Dean’s Excellence Award for Research and the 100k Singapore Challenge, with the judging panel uniquely composed of Nobel Prize, Turing award, and Millennium Technology Prize winners. His research and lab have been supported by competitive grants from the National Institute of Health, Translational Research Institute for Space Health, foundations, and private companies.
Great opening keynote by Michael! Interesting and inspiring points about the role of research in information studies, the rising interest in AI and libraries, and the importance of designing your career path to suit your strengths and interests.
Very interesting closing keynote by Luca! By using biomedical examples, such as MRI brain scans and radiology images, the complex data and machine learning processes had real life applications. It’s important to know the how and the why!