12:30
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--- Working Lunch: Networking ---
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14:00
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Keynote talk: Knowledge-Guided Machine Learning: A New Framework for Accelerating Scientific Discovery and Addressing Global Environmental Challenges
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Vipin Kumar
(University of Minnesota)
(Herritage Hall)
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15:00
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Unconference "Elevator" Pitches
(until 15:30)
(Herritage Hall)
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15:30
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--- Coffee Break ---
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16:00
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Transdisciplinary Research
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Sharad Sharma
(University of North Texas)
(until 17:00)
(Excellence)
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16:00
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Transdisciplinary Research
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Jianwu Wang
(University of Maryland, Baltimore County)
Zhijian Liu
(University of California San Diego)
(until 17:00)
(Loyalty)
|
16:00
|
Transdisciplinary Research
-
Jiawei Han
(University of Illinois at Urbana-Champaign)
Pan Li
(Georgia Tech)
(until 17:00)
(Alma Mater)
|
16:00
|
Transdisciplinary Research
-
Peter Darch
(University of Illinois at Urbana-Champaign)
Savannah Thais
(until 17:00)
(Lincoln)
|
16:00
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Unconference Determined
(until 17:00)
(Herritage Hall)
|
17:00
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Lightning Talks for Posters
(until 17:30)
(Herritage Hall)
|
17:30
|
Poster Session
(until 18:35)
(Herritage Hall)
|
17:35
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Imageomics: FAIR ML Products for Biological Knowledge Discovery
-
Elizabeth Campolongo
(Herritage Hall)
|
17:36
|
Incorporating phenotypic similarity into trait description embeddings
-
Soumyashree Kar
(Herritage Hall)
|
17:37
|
Latent Space Phenotyping for Measuring Complex Evolutionary Traits
-
Caleb Charpentier
(Herritage Hall)
|
17:38
|
Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution
-
Mridul Khurana
(Herritage Hall)
|
17:39
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What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits
-
Harish Babu Manogaran
(Herritage Hall)
|
17:40
|
BioCLIP: A Vision Foundation Model for the Tree of Life
-
Sam Stevens
(Herritage Hall)
|
17:41
|
Education and Outreach in Imageomics: Engaging Communities to Advance Science
-
Diane Boghrat
(Herritage Hall)
|
17:42
|
Using Deep Learning to Quantify Phenotypic Similarities in Mimic Butterfly Species using Human, Bird, and Butterfly Acuities
-
Michelle Ramirez
(Herritage Hall)
|
17:43
|
Dynamic Network Classification
-
Namrata Banerji
(Herritage Hall)
|
17:44
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Tulane Center for Community-Engaged Artificial Intelligence
-
Aron Culotta
(Herritage Hall)
|
17:45
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Understanding of impact of training size on animal re-identification
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Ekaterina Nepovinnykh
(Herritage Hall)
|
17:46
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Practical Leadership for Team Science: Experiences from the Imageomics Institute
-
Diane Boghrat
(Herritage Hall)
|
17:47
|
VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images
-
Anuj Karpatne
(Herritage Hall)
|
17:48
|
What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits
-
Anuj Karpatne
(Herritage Hall)
|
17:49
|
National Data Mine Network
-
Mark Daniel Ward
(Herritage Hall)
|
17:50
|
Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images
-
Kazi Sajeed Mehrab
(Herritage Hall)
|
17:51
|
Low-cost Efficient Wireless Intelligent Sensors (LEWIS) for Engineering Education: Native American Knowledge for Data Science Education
-
Fernando Moreu
(Herritage Hall)
|
17:52
|
Facilitating Knowledge Sharing and Discovery: Search Functionality and API Design for the I-GUIDE
-
Yunfan Kang
(Herritage Hall)
|
17:53
|
CLV: A Novel Framework for Enhanced Anomaly Detection and Attribution in Multivariate Time Series Data
-
Tolulope Ale
(Herritage Hall)
|
17:54
|
Battling Misinformation through Interdisciplinary Collaboration
-
Zahra Khanjani
(Herritage Hall)
|
17:55
|
CMAD: Advancing Understanding of Anomalous Melt Events over the Antarctic Sea Ice
-
Maloy Kumar Devnath
(Herritage Hall)
|
17:56
|
HDR DSC: The Metropolitan Chicago Data-science Corps (MCDC)
-
Lizhen Shi
(Herritage Hall)
|
17:57
|
Neural Network Efficiency Evaluation on the AMD Versal AI Engine
-
Yilin Shen
(Herritage Hall)
|
17:58
|
BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos
-
Maksim Kholiavchenko
(Herritage Hall)
|
17:59
|
Assessing Annotation AccAssessing Accuracy in Ice Sheets Using Quantitative Metrics
-
Bayu Tama
(Herritage Hall)
|
18:00
|
Genotype to Phenotype Mapping via Deep Learning
-
David Carlyn
(Herritage Hall)
|
18:01
|
Variance Analysis of Brightness Temperature using High-resolution DYAMOND simulations and CRTM in Digital Twin Systems
-
Chhaya Kulkarni
(Herritage Hall)
|
18:02
|
Predicting Sea ice extent over Antarctica using Patch CNN
-
Sai Vikas Amaraneni
(Herritage Hall)
|
18:03
|
HDR DSC: Collaborative Research: Transforming Data Science Education through a Portable and Sustainable Anthropocentric Data Analytics for Community Enrichment (ADACE) Program
-
Yu Liang
(Herritage Hall)
|
18:04
|
Physics-Informed Sea Ice Thickness Prediction
-
Akila Sampath
(Herritage Hall)
|
18:05
|
Probabilistic Prediction of Material Stability: Integrating Convex Hulls into Active Learning
-
Andrew Novick
(Herritage Hall)
|
18:06
|
Cyberinfrastructure for Scientific Data Preservation and Image Similarity Search
-
Joshua Agar
(Herritage Hall)
|
19:30
|
Public Lecture: Making AI Safe, Effective, and Trustworthy
-
Suresh Venkatasubramanian
(0027/1025 Auditorium)
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