Talks and Presentations

group of 20 imageomics researchers smile for the camera while holding an imageomics banner with logo
Talks

2021-2022

AI for Wildlife Conservation: AI and Humans Combating Extinction Together.
Presented by: Tanya Berger-Wolf
Columbus Zoo (April 4, 2022). 
 
Trustworthy AI for Conservation.
Presented by: Tanya Berger-Wolf
Explore workshop at OSU (April 6, 2022). 
 
Gospel of team time: Holding adaptive spaces in convergence research teams.
Presented by: Gemma Jiang
Intereach Community of Practice (May 10, 2022).
 
Imageomics: images as the source of information about life.
Presented by keynote speaker: Tanya Berger-Wolf.
EarthVision workshop at the IEEE / CVF Computer Vision and Pattern Recognition Conference (June 19, 2022).
 
Imageomics: Images as the Source of Information about Life
Presented by keynote speaker: Tanya Berger-Wolf
30th Conference on Intelligent Systems for Molecular Biology (July 10, 2022). 
 
Imageomics: Images as the Source of Information about Life
Presented by: Tanya Berger-Wolf
2nd AAAI-SGAI
 
Hierarchy-guided Neural Networks for Species Classification
Mohannad Elhamod, Kelly Diamond, A. Murat Maga, Yasin Bakis, Henry L. Bart Jr., Paula Mabee, Wasila Dahdul, Jeremy Leipzig, Jane Greenberg, Brian Avants and Anuj Karpatne
2nd AAAI-SGAI
 
Human-Machine Partnership for Conservation: AI and Humans Combat Extinction
 
Presented by: Tanya Berger-Wolf
AAAS 2022 Symposium: Crowdsourced Science: Volunteers and Machine Learning Protect the Wild for All
 
Learning with Free Object Segments for Long-Tailed Instance Segmentation.
Cheng Zhang, Tai-Yu Pan, Tianle Chen, Jike Zhong, Wenjin Fu, and Wei-Lun Chao
L3D-IVU: Workshop on Learning with Limited Labeled Data for Image and Video Understanding, in conjunction with the IEEE / CVF Computer Vision and Pattern Recognition Conference (2022).
 

2022-2023

Imageomics: Images as the Source of Information about Life.
Presented by: Tanya Berger-Wolf
Lucy Institute Seminar with Dr. Tanya Berger-Wolf. Lucy Family Institute for Data & Society. University of Notre Dame (September 14, 2022). 
 
Trustworthy AI for Wildlife Conservation.
Presented by: Tanya Berger-Wolf
Monash Prato Dialogue AI Summit. Monash Data Futures Institute, Monash University (October 5, 2022). 
 
Session III: Biodiversity.
Co-chair: Tanya Berger-Wolf
1st U.S.-Africa Frontiers of Science, Engineering & Medicine Symposium (October 13, 2022). 
 
Imageomics: Images as the Source of Information about Life.
Presented by: Tanya Berger-Wolf
Internet of Animals Symposium. Yale University Center for Biodiversity and Global Change (November 4, 2022). 
 
Imageomics: Images as the Sources of Information About Life.
Presented by: Tanya Berger-Wolf
uDASH Distinguished Seminar. UNSW Sydney (November 16, 2022). 
 
Imageomics: A New Field of Science at the Crossroads of Biology and Machine Learning.
Presented by: Tanya Berger-Wolf
Government-University-Industry Research Roundtable. National Academies of Sciences, Engineering and Medicine (December 7, 2022). 
 
Human-AI partnership for conservation: AI and humans combatting extinction together.
Presented by keynote speaker: Tanya Berger-Wolf
AI for Good Webinar. Monash Data Futures Institute, Monash University (December 15, 2022). 
 
Imageomics: Images as the source of information about life.
Presented by keynote speaker: Tanya Berger-Wolf
Phenoscape TraitFest 2023. RENCI (January 23, 2023)
 
AI and humans combatting extinction together.
Presented by: Tanya Berger-Wolf
AI & Nature Week, University of Bristol (February 23, 2023). 
Grounding Language Models to Real-World Environments.
Presented by: Yu Su
Amazon (March 3, 2023). 
 
Grounding Language Models to Real-World Environments.
Presented by: Yu Su
University of Tokyo  (March 7, 2023).
 
Imageomics: Images as the Source of Information about Life.
Presented by: Wei-lun Chao
Institute for Data Science. University of California, Berkeley (March 17, 2023).
 
AI for Biodiversity Preservation
Presented by: Tanya Berger-Wolf
CEIMIA’s RAISE program (April 18, 2023). 
 
Imageomics: Images as the Source of Information about Life.
Presented by: Tanya Berger-Wolf
University of Waterloo (April 24, 2023).  
 
Trustworthy AI and Biodiversity
Presented by: Tanya Berger-Wolf
WWF Fuller Science Series on AI and Conservation (May 16, 2023). 
 
Grounding Language Models to Real-World Environments.
Presented by: Yu Su
U.S. Army Research Lab (June 2, 2023). 
 
Grounding Language Models to Real-World Environments.
Presented by: Yu Su
The RISK Institute, OSU (June 6, 2023).
Complexity leadership in action: A team science case study.
Gemma Jiang, Diane Boghrat, Jenny Grabmeier, and Jennifer Cross
Science of Team Science Conference.
 
Network Leadership in Convergence Research Teams: An emergent model.
Gemma Jiang, Jennifer Cross, Jenny Grabmeier, and A. Mook
Science of Team Science Conference.
 

2024-2025​

Tech Tools for the Future: Zebras, AI, and Girls in ICT Day
Presented by: Tanya Berger-Wolf

Cisco Blogs(April 2, 2024)

 
AI risks and opportunities for biosiversity.
Presented by Keynote speaker:  Tanya Berger-Wolf
IEEE Technology Center for Climate( November 15, 2024)
 
 

 

Poster Presentations

2021-2022

Tessa Cotron at CSE@OSU graduate student symposium (February 2022).
 
Reshma Ramesh Babu at CSE@OSU graduate student symposium (February 2022).
 
Understanding Mimicry in Butterflies from Images using Machine Learning.
Reshma R Babu, Yael Stochel, Christopher Lawrence, Daniel Rubenstein, Chuck Stewart, Wei-Lun Chao, David Carlyn, Jihyung Kil, Yu Su, Luke Song, Anuj Karpatne, Mohannad Elhamod, Krzysztof Kozak, Owen McMillan, Tanya Berger-Wolf at 2nd CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling Workshop, in conjunction with the IEEE / CVF Computer Vision and Pattern Recognition Conference (June 20, 2022). 
 
Learning to Detect Mobile Objects from LiDAR Scans Without Labels.
Yurong You, Katie Luo, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark Campbell, and Kilian Weinberger at The IEEE / CVF Computer Vision and Pattern Recognition Conference (June 21, 2022). 
 
One Step at a Time: Long-Horizon Vision-and-Language Navigation With Milestones.
Chan Hee Song, Jihyung Kil, Tai-Yu Pan, Brian M. Sadler, Wei-Lun Chao, Yu Su at The IEEE / CVF Computer Vision and Pattern Recognition Conference (June 23, 2022). 
 
Tessa Cotron at TDAI@OSU Fall Forum (Nov 2021).
 
Learning with Free Object Segments for Long-Tailed Instance Segmentation.
Cheng Zhang, Tai-Yu Pan, Tianle Chen, Jike Zhong, Wenjin Fu, and Wei-Lun Chao at L3D-IVU: Workshop on Learning with Limited Labelled Data for Image and Video Understanding, in conjunction with the IEEE / CVF Computer Vision and Pattern Recognition Conference (2022). 

 

2022-2023

An open-source photogrammetry pipeline for acquiring 3D biological models.
Zhang C†, Mather S., Maga AM. at SICB 2023. Austin, TX. (January 3-7, 2023). 
 
An open-source photogrammetry pipeline for acquiring 3D biological models.
Zhang C†, Mather S., Maga AM. at AABA 2023. Reno, NV. (April 19-22, 2023)
 
Autonomous UAV Missions for Studying Wildlife Behavior: A Case Study for the Individual Identification of Zebras. Jenna M Kline; Tanya Berger-Wolf; Daniel Rubenstein; Chuck Stewart, and Christopher Stewart at Midwest Machine Learning Symposium. Chicago, IL. (2023). 
 
Kenyan Animal Behavior Recognition from Videos: Taking the First Steps.
Maksim Kholiavchenko, Jenna M Kline, Reshma R Babu, Michelle Ramirez, Samuel R Stevens, Alec Sheets, Nina van Tiel, Elizabeth Campolongo, Sowbaranika Balasubramaniam, Tanya Berger-Wolf, Charles V Stewart, and Daniel Rubenstein at Midwest Machine Learning Symposium. Chicago, IL. (2023).
 
Imageomics Approach to Understanding Mimicry in Butterflies from Images using Machine Learning.
Reshma R Babu, Christopher Lawrence, Daniel Rubenstein, Chuck Stewart, Wei-Lun Chao, David Carlyn, Yu Su, Anuj Karpatne, Mohannad Elhamod, Yael Stochel, Krzysztof Kozak, Owen McMillan, Tanya Berger-Wolf, and Michelle Ramirez at Midwest Machine Learning Symposium. Chicago, IL. (2023).
Theses/Dissertations

2021-2022

Making Models and Mining Mimics: Insights from computer vision into how biological systems solve visual problems.
By: Yael Stochel
Princeton University (2022).
 

2022-2023

Understanding The Effects of Incorporating Scientific Knowledge on Neural Network Outputs and Loss Landscapes.
By: Mohannad Elhamod
Virginia Tech (2023).
 
By: Reshma Ramesh Babu
The Ohio State University (2023).
 
Model-Specific Out-of-Distribution Detection Framework.
By: Reza Averly 
The Ohio State University (2023). 

 

Videos of Imageomics Talks