• 2p: Break Out Session #A: STAR-AI Education. IBB Room 3316.
• 3p: Poster Session #1 Display. IBB Nerem Atrium
• 3p: Break Out Session #D: STAR-AI Resource. IBB Room 3316.
• 5:30p:Networking with Finger Food & Drink. IBB Nerem Atrium.
• 5:45p: Opening Remarks: Alyssa Panitch, Wallace H. Coulter Department Chair. IBB Suddath Seminar Room 1128.
• 6p: Opening Keynote Speakers: Responsible AI in The Real World: What Does It Take To Implement and Evaluate Safe, Trustworthy, and Actionable AI in Real Clinical Settings? Evan Orenstein, MD, Vice President of Data & Analytics and Chief Medical Informatics Officer, Children's Healthcare of Atlanta (CHOA); and Naveen Muthu, MD, Director of Health Informatics Core Innovation Services, CHOA. IBB Suddath Seminar Room 1128.
• 6:45p: Poster Session #2 Display. IBB Nerem Atrium.
• 8p: End of first day

• 7a: Poster Session #2 Display. IBB Nerem Atrium.
• 7:30a: Breakfast and Networking *. IBB Nerem Atrium.
• 8a: Opening Remarks. IBB Suddath Seminar Room 1128.
• 8:10: Keynote Speaker: Specializing AI for Multi-Scale Brain Mapping: Impacting Trusted and Interpretable Theranostics for Neurodegenerative Disease. Michael Miller, PhD, Professor and Director of Biomedical Engineering, Johns Hopkins University. IBB Suddath Seminar Room 1128.
• 9a: Panel #A: Need-Driven and Impact-Driven STAR-AI Research and Education. IBB Suddath Seminar Room 1128.
• 10a: Coffee Break and Networking *. IBB Nerem Atrium.
• 10:15a: Panel #B: Need-Driven and Impact-Driven STAR-AI Research and Education. IBB Suddath Seminar Room 1128.
• 11:15a: Panel #C: Industry-Academic Partnership in STAR-AI. IBB Suddath Seminar Room 1128.
• 12:15p: Poster Session #3 Display. IBB Nerem Atrium.
• 12:20p: Lunch and Networking *. IBB Nerem Atrium.
• 1:30p: Breakout Session Break Out Session #B: Need-Driven and Impact-Driven STAR-AI.  IBB Suddath Seminar Room 1128.
• 1:30p: Breakout Session Break Out Session #D: STAR-AI Resource.  IBB Room 3316.
• 2:30p: Break Out Session #A: STAR-AI Education. IBB Room 3316
• 2:30p: Break Out Session #C: Industry-Academic Partnership in STAR-AI.  IBB Suddath Seminar Room 1128.
• 3:30p: Coffee Break and Networking *. IBB Nerem Atrium.
• 3:45p: Reporting on Break Out Sessions A, B, C, D on Biomedical STAR-AI Branding with Action Items. IBB Suddath Seminar Room 1128.
• 4:45p: Best Poster Awards. IBB Suddath Seminar Room 1128.
• 4:55p: Closing and Post Sympsoium Action Summary. IBB Suddath Seminar Room 1128.
• 5p: End of Symposium.

*During breaks and lunch, network with fellow attendees and view student posters in the IBB Atrium.

A group of judges comprised of faculty and subject experts will review each poster for the quality of the content presented.

The student who presents the best poster will be awarded a spot at the International Summer Leadership Academy BIO-X on AI, ML, Data Science in Healthcare, Medicine and Biology*.

Sponsored by the National Science Foundation and co-sponsored by the IEEE EMB Society, the IEEE BRAIN, the Department of Biomedical Engineering at University of Houston, and the Technical University of Crete, the Academy will be held from June 2 - June 8, 2024 in Chania, Crete, Greece.

Meals and accommodations will be covered as part of the award. NOTE: Winners must book their own flight.

Learn more about the Academy here.

*Award is contingent on the student winner having a current passport or visa, and travel authorization from their Primary Investigator (PI). Please contact Dr. May Wang at maywang@gatech.edu for more information.

Dr. Orenstein’s research quality or safety issue in clinical care. Dr. Orenstein and his team work to address these issues by using a combination of analytics and qualitative work, observing the workflows where these problems happen, and gathering data. Let’s look at flu vaccine distribution as an example.

Dr. Orenstein completed his undergraduate degree at Yale University, where he worked in a mathematical epidemiology lab focusing on infectious disease modeling. He received his medical degree from Emory University, where he spent one year in Bamako, Mali working on a clinical trial of maternal influenza immunization and studying its cost-effectiveness.

During his pediatric residency at CHOP, he cofounded the New Epic Resident Development (NERD) Squad, a partnership of pediatric residents and informatics faculty dedicated to involving front-line clinicians more deeply in designing and evaluating new workflow tools in the electronic health record.

His clinical informatics interests include reducing medical errors and provider burnout from redundant documentation, improving physician efficiency and effectiveness with the EHR through simulation, cognitive informatics to improve the usability of documentation and decision support interfaces, and building capacity in clinical informatics locally and globally.

Dr. Naveen Muthu co-directs AI strategy in Children’s Healthcare of Atlanta. He has been involved in multiple predictive model implementations and evaluations.

He also co-directs the Pediatric Clinical Decision Support Collaborative, a consortium of 11 pediatric health systems aiming to leverage CDS to improve quality and safety in pediatric healthcare.

Michael I. Miller is the Bessie Darling Massey Professor and Director of Biomedical Engineering at Johns Hopkins University. He is also co-director of the Kavli Neuroscience Discovery Institute.

As a biomedical engineer who specializes in data science, Miller is pioneering cutting-edge technologies in computational medicine to understand and diagnose neurodegenerative diseases. His research focuses on the functional and structural characteristics of the human brain in health and disease, including Huntington’s disease, Alzheimer’s disease, dementia, bipolar disorder, schizophrenia, and epilepsy. By developing new tools to analyze patient brain scans, derived from advanced medical imaging technologies, Miller aims to predict the risk of developing neurological disorders years before the onset of clinical symptoms. His lab is currently devising cloud-based methods to build and share libraries of brain images—and the algorithms used to understand them—associated with neuropsychiatric illness. Miller’s research is highly translational, and he has co-founded four start-up companies in the past decade.

Miller has co-authored more than 200 peer-reviewed publications, as well as two highly cited textbooks on random point processes and computational anatomy. In 2002, he was recognized by the Institute for Scientific Information (ISI) Essential Science Indicators for garnering the highest rate of increase in total citations in the field of engineering for his work in computational anatomy.

He has received numerous awards for his work, including the national Institute of Electrical and Electronics Engineers (IEEE) Biomedical Engineering Thesis Award in 1982, the Johns Hopkins Paul Ehrlich Graduate Student Thesis Award in 1983, and the National Science Foundation (NSF) Presidential Young Investigator Award in 1986. He was named an inaugural Johns Hopkins University Gilman Scholar in 2011 for demonstrating a distinguished record of research, teaching, and service. He is an elected Fellow of the American Institute for Medical and Biological Engineering, the Institute of Electrical and Electronics Engineers, and the Biomedical Engineering Society.

Miller earned his BS from the State University of New York at Stony Brook in 1976, and his MS in electrical engineering and PhD in biomedical engineering from Johns Hopkins University in 1978 and 1983, respectively. He was the Newton R. and Sarah L. Wilson Professor in Biomedical Engineering at Washington University in St. Louis until joining Johns Hopkins University in 1998. He was named the Herschel and Ruth Seder Professor in Biomedical Engineering in 2003, before his appointment as the director of biomedical engineering in 2017. He was also previously the director of the Johns Hopkins Center for Imaging Science.

• To be an innovator and a leader in emerging biomedical data engineering and AI.
• To train next generation biomedical engineers who are capable of handling data and information.

• To establish biomedical data engineering and AI educational program.
• To establish a biomedical data engineering and AI research thrust.
• To establish industrial partnership.
• To establish BME data and AI tool resources.

• To deliver a summary report to the Coulter BME chair.
• To publish a white paper to define biomedical AI.
• To improve BME graduates’ knowledge and capabilities in data engineering and AI.
• To develop AI solutions to improve healthcare among all stakeholders (patients, physicians, payers, administrators…).
• To establish the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University as a leader in the wider community.