Adam Coscia
Bio
Adam Coscia is a Tenure-Track Assistant Professor in the School of Computing at Stevens Institute of Technology, where he directs the Stevens Visualization Lab. His research helps people make sense of complex data through the design of interactive systems for data visualization and analysis. His tools are used by analysts, educators, engineers, and scientists in domains including education, intelligence analysis, autonomous robotics, space science, ocean science, and graphic design. His work has been generously supported by the NSF AI-ALOE Institute, NSA, MIT Lincoln Lab, NASA JPL, Adobe Research, the NC State Laboratory for Analytic Sciences, and the Monterey Bay Aquarium Research Institute. His work appears at premier HCI and visualization venues, including ACM CHI, UIST, IUI, and IEEE VIS and TVCG, and has received a best paper award and three best poster awards. He was also a finalist for the Foley Scholars Award and a recipient of Georgia Tech's President's Fellowship. He received his Ph.D. in Human-Centered Computing from the Georgia Institute of Technology and holds a B.S. in Physics from Stevens.
Education
May 2026
Ph.D. in Human-Centered Computing
Georgia Institute of Technology, Atlanta, GA
Georgia Institute of Technology, Atlanta, GA
Dissertation: Detecting and Mitigating Pedagogical Risks in Large Language Models with Visual Analytics
Committee: Dr. Alex Endert, Dr. Duen Horng (Polo) Chau, Dr. Cindy Bearfield-Xiong, Dr. Yalong Yang, Dr. Scott Crossley
May 2020
B.S. in Physics
Stevens Institute of Technology, Hoboken, NJ
Stevens Institute of Technology, Hoboken, NJ
Minors: Mathematics, Computer Science. GPA: 3.98/4.00. Achievements: Pinnacle Scholars, First in Class (Physics).
Employment
2026 - present
Assistant Professor (Tenure-Track)
School of Computing, Stevens Institute of Technology, Hoboken, NJ
School of Computing, Stevens Institute of Technology, Hoboken, NJ
Building visual analytics, human-centered artificial intelligence, and data science tools to solve pressing human-centered, data-driven problems.
2020 - 2026
Graduate Research Assistant
School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA
School of Interactive Computing, Georgia Institute of Technology, Atlanta, GA
Advisor: Alex Endert
Member of the Visual Analytics Lab developing interactive visual analytics tools that help people make sense of data by combining information visualization, machine learning, and human-computer interaction.
Summer 2025
Artificial Intelligence Research Lead, Artificial Intelligence Group
MIT Lincoln Laboratory, Lexington, MA
MIT Lincoln Laboratory, Lexington, MA
Advisors: Ho Chit Siu, Rohan Paleja
Developing novel visual analytics interfaces that enable human-in-the-loop decision-making and guidance in human-machine teaming scenarios.
Summer 2024
Machine Learning Research Lead, AI Experiences Lab
Adobe Research, San Jose, CA
Adobe Research, San Jose, CA
Advisors: Shunan Guo, Eunyee Koh
Built a novel chat interface with large language models (LLMs) to improve sensemaking of conversational LLM responses for everyday users using LLM-powered Adobe products.
Summer 2023
Machine Learning Research Lead, Human-Interfaces Group
NASA Jet Propulsion Laboratory (JPL), Pasadena, CA
NASA Jet Propulsion Laboratory (JPL), Pasadena, CA
Advisors: Scott Davidoff, Tiago Vaquero
Developed automated science planning capabilities for planetary missions to support multi-instrument and team-driven science using a novel demonstration paradigm. See ReRank.
Summer 2021
Computer Science Lead, Data to Discovery Program
NASA Jet Propulsion Laboratory (JPL), Pasadena, CA
NASA Jet Propulsion Laboratory (JPL), Pasadena, CA
Advisors: Scott Davidoff, Santiago Lombeyda, Hillary Mushkin, Maggie Hendrie
Built interactive data visualization combining linked 2D maps and 3D visualizations of taxa and geochemical values in sediment cores collected from the sea floor.
Summer 2020
Machine Learning / Operations Intern, Center for Data Science and Artificial Intelligence
New York Life Insurance Company, New York, NY
New York Life Insurance Company, New York, NY
Supervisor: Paul Janis
Engineered multiple feature extraction pipelines interfaced by Domino platform and integrated with existing Hadoop infrastructure. Produced model monitoring metric reports for stakeholders and data science team.
Summer 2019
Data Platform Engineering Intern, Center for Data Science and Analytics
New York Life Insurance Company, New York, NY
New York Life Insurance Company, New York, NY
Supervisor: Paul Janis
Built various scalable programs and data-handling procedures for multiple teams to leverage complex, low-level data lake tools with efficient, cost-effective, and easy-to-use interfaces.
2018 - 2020
Undergraduate Research Assistant, School of Information Systems and Architecture
Stevens Institute of Technology, Hoboken, NJ
Stevens Institute of Technology, Hoboken, NJ
Advisors: Aron Lindberg, Amir Gandomi
Developed statistical model in Python for connecting evolutionary trajectories of digital artifacts to performance outcomes in online communities.
Summer 2017
Visiting Research Scholar, Department of Physics and Astronomy
Katholieke Universiteit Leuven, Leuven, Belgium
Katholieke Universiteit Leuven, Leuven, Belgium
Advisors: Lino da Costa Pereira, Tiago Abel de Lemos Lima
Built data visualization interface in Python for managing simulations of ion channeling in single crystals, to be used in ion beam analysis of topological materials.
Awards and Honors
2026
Best Paper, Honorable Mention, VAST Challenge @ IEEE VIS 2026
For “AgentK: Investigation of Multi-Agent LLM Dialogue via Semantic Bundling of Knowledge Graphs”
2025
Inductee, Sigma Xi Scientific Research Honor Society
Inducted as a lifetime member.
2025
Best Poster Award, CRIDC 2025
For “VisPile: Incorporating Knowledge Graphs and Large Language Models into Visual Text Analysis Tools”
2024
Foley Scholar Award Finalist, Georgia Tech
Awarded to top graduate students shaping the future of how people interact with and value technology.
2023
Best Poster Award, CRIDC 2023
For “KnowledgeVIS: Visualizing What Language Models Have Learned”
2021
Best Poster Award, CRIDC 2021
For “Lumos: Increasing Awareness of Biases during Visual Data Analysis”
2020
President's Fellowship, Georgia Tech
Four-year semesterly stipend award; selected upon admission from top 10% of applicant pool.
2020
Alfred M. Mayer Prize, Stevens Institute of Technology
Awarded to senior ranked first in all physics courses taken during undergraduate career.
2019
Inductee, Sigma Pi Sigma Physics Honor Society
Inducted as a lifetime member by the American Institute of Physics.
2018
Distinguished Teaching Assistant, Stevens Institute of Technology
Awarded to student faculty member nominated for creating outstanding classroom environment.
2016
Presidential Scholarship, Stevens Institute of Technology
Four-year, half-tuition award; selected for academic excellence in high school.
Publications
Conference
C9
Less Is More: Balancing Positive and Negative Space in Visual Concept Blending.
Shishi Xiao, Adam Coscia, David H. Laidlaw.
ACM Symposium on User Interface Software and Technology (UIST), 2026.
Shishi Xiao, Adam Coscia, David H. Laidlaw.
ACM Symposium on User Interface Software and Technology (UIST), 2026.
C8
DraftMarks: Enhancing Transparency in Human-AI Co-Writing Through Interactive Skeuomorphic Process Traces.
Momin N. Siddiqui, Nikki Nasseri, Adam Coscia, Roy Pea, Hari Subramonyam.
ACM Conference on Human Factors in Computing Systems (CHI), 2026.
Momin N. Siddiqui, Nikki Nasseri, Adam Coscia, Roy Pea, Hari Subramonyam.
ACM Conference on Human Factors in Computing Systems (CHI), 2026.
C7
VisPile: A Visual Analytics System for Analyzing Multiple Text Documents With Large Language Models and Knowledge Graphs.
Adam Coscia, Alex Endert.
Hawaii International Conference on System Sciences (HICSS), 2026.
Adam Coscia, Alex Endert.
Hawaii International Conference on System Sciences (HICSS), 2026.
CRIDC Best Poster Award, 2025
C6
OnGoal: Tracking and Visualizing Conversational Goals in Multi-Turn Dialogue with Large Language Models.
Adam Coscia, Shunan Guo, Eunyee Koh, Alex Endert.
ACM Symposium on User Interface Software and Technology (UIST), 2025.
Adam Coscia, Shunan Guo, Eunyee Koh, Alex Endert.
ACM Symposium on User Interface Software and Technology (UIST), 2025.
C5
Visualizing Intelligent Tutor Interactions for Responsive Pedagogy.
Grace Guo, Aishwarya Mudgal Sunil Kumar, Adit Gupta, Adam Coscia, Chris MacLellan, Alex Endert.
International Conference on Advanced Visual Interfaces (AVI), 2024.
Grace Guo, Aishwarya Mudgal Sunil Kumar, Adit Gupta, Adam Coscia, Chris MacLellan, Alex Endert.
International Conference on Advanced Visual Interfaces (AVI), 2024.
C4
DeepSee: Multidimensional Visualizations of Seabed Ecosystems.
Adam Coscia, Haley M. Sapers, Noah Deutsch, Malika Khurana, John S. Magyar, Sergio A. Parra, Daniel R. Utter, Rebecca L. Wipfler, David W. Caress, Eric J. Martin, Jennifer B. Paduan, Maggie Hendrie, Santiago Lombeyda, Hillary Mushkin, Alex Endert, Scott Davidoff, Victoria J. Orphan.
ACM Conference on Human Factors in Computing Systems (CHI), 2024.
Adam Coscia, Haley M. Sapers, Noah Deutsch, Malika Khurana, John S. Magyar, Sergio A. Parra, Daniel R. Utter, Rebecca L. Wipfler, David W. Caress, Eric J. Martin, Jennifer B. Paduan, Maggie Hendrie, Santiago Lombeyda, Hillary Mushkin, Alex Endert, Scott Davidoff, Victoria J. Orphan.
ACM Conference on Human Factors in Computing Systems (CHI), 2024.
C3
iScore: Visual Analytics for Interpreting How Language Models Automatically Score Summaries.
Adam Coscia, Langdon Holmes, Wesley Morris, Joon Suh Choi, Scott Crossley, Alex Endert.
ACM Conference on Intelligent User Interfaces (IUI), 2024.
Adam Coscia, Langdon Holmes, Wesley Morris, Joon Suh Choi, Scott Crossley, Alex Endert.
ACM Conference on Intelligent User Interfaces (IUI), 2024.
C2
Left, Right, and Gender: Exploring Interaction Traces to Mitigate Human Biases.
Emily Wall, Arpit Narechania, Adam Coscia, Jamal Paden, Alex Endert.
IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2021), 2022.
Emily Wall, Arpit Narechania, Adam Coscia, Jamal Paden, Alex Endert.
IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2021), 2022.
C1
Lumos: Increasing Awareness of Analytic Behavior during Visual Data Analysis.
Arpit Narechania, Adam Coscia, Emily Wall, Alex Endert.
IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2021), 2022.
Arpit Narechania, Adam Coscia, Emily Wall, Alex Endert.
IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE VIS 2021), 2022.
CRIDC Best Poster Award, 2021
Journal
J2
Preliminary Guidelines for Combining Data Integration and Visual Data Analysis.
Adam Coscia, Ashley Suh, Remco Chang, Alex Endert.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2024.
Adam Coscia, Ashley Suh, Remco Chang, Alex Endert.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2024.
J1
KnowledgeVIS: Interpreting Language Models by Comparing Fill-in-the-Blank Prompts.
Adam Coscia, Alex Endert.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2024.
Adam Coscia, Alex Endert.
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2024.
CRIDC Best Poster Award, 2023
Workshop
W3
Targeted and Traceable Investigation of Multi-Agent LLM Dialogue via Semantic Bundling of Knowledge Graphs.
Zeyu Hua, Adam Coscia, Alex Endert.
VAST Challenge at IEEE VIS, 2026.
Zeyu Hua, Adam Coscia, Alex Endert.
VAST Challenge at IEEE VIS, 2026.
VAST Challenge Honorable Mention, 2026
W2
LLM Prompt Evaluation for Educational Applications.
Langdon Holmes, Adam Coscia, Scott Crossley, Joon Suh Choi, Wesley Morris.
Workshop on Epistemics and Decision-Making in AI-Supported Education at AIED, 2025.
Langdon Holmes, Adam Coscia, Scott Crossley, Joon Suh Choi, Wesley Morris.
Workshop on Epistemics and Decision-Making in AI-Supported Education at AIED, 2025.
W1
Toward a Bias-Aware Future for Mixed-Initiative Visual Analytics.
Adam Coscia, Duen Horng (Polo) Chau, Alex Endert.
Workshop on TRust and EXpertise in Visual Analytics (TREX) at IEEE VIS, 2020.
Adam Coscia, Duen Horng (Polo) Chau, Alex Endert.
Workshop on TRust and EXpertise in Visual Analytics (TREX) at IEEE VIS, 2020.
Poster
P6
Incorporating Knowledge Graphs and Large Language Models into Visual Text Analysis Tools.
Adam Coscia, Alex Endert, Liz Richerson, Sue Mi K., Stephen S., Tim S.
Career, Research, and Innovation Development Conference (CRIDC), Atlanta, GA, USA, 2025.
Adam Coscia, Alex Endert, Liz Richerson, Sue Mi K., Stephen S., Tim S.
Career, Research, and Innovation Development Conference (CRIDC), Atlanta, GA, USA, 2025.
Best Poster Award (top 5%)
P5
Incorporating Knowledge Graphs and Large Language Models into Visual Text Analysis Tools.
Adam Coscia, Alex Endert, Liz Richerson, Sue Mi K., Stephen S., Tim S.
NCSU LAS Research Symposium, Raleigh, NC, USA, 2024.
Adam Coscia, Alex Endert, Liz Richerson, Sue Mi K., Stephen S., Tim S.
NCSU LAS Research Symposium, Raleigh, NC, USA, 2024.
P4
iScore: Visual Analytics for Interpreting How Language Models Automatically Score Summaries.
Adam Coscia, Langdon Holmes, Wesley Morris, Joon Suh Choi, Scott Crossley, Alex Endert.
Career, Research, and Innovation Development Conference (CRIDC), Atlanta, GA, USA, 2024.
Adam Coscia, Langdon Holmes, Wesley Morris, Joon Suh Choi, Scott Crossley, Alex Endert.
Career, Research, and Innovation Development Conference (CRIDC), Atlanta, GA, USA, 2024.
P3
KnowledgeVIS: Visualizing What Language Models Have Learned.
Adam Coscia, Alex Endert.
Career, Research, and Innovation Development Conference (CRIDC), Atlanta, GA, USA, 2023.
Adam Coscia, Alex Endert.
Career, Research, and Innovation Development Conference (CRIDC), Atlanta, GA, USA, 2023.
Best Poster Award (top 5%)
P2
Lumos: Increasing Awareness of Biases during Visual Data Analysis.
Arpit Narechania, Adam Coscia, Emily Wall, Alex Endert.
Career, Research, and Innovation Development Conference (CRIDC), Atlanta, GA, USA, 2021.
Arpit Narechania, Adam Coscia, Emily Wall, Alex Endert.
Career, Research, and Innovation Development Conference (CRIDC), Atlanta, GA, USA, 2021.
Best Poster Award (top 5%)
P1
Correlating Long-Term Innovation with Success in Career Progression.
Adam Coscia, Aron Lindberg.
Business Intelligence & Analytics (BI&A) Corporate Networking Event, Hoboken, NJ, USA, 2018.
Adam Coscia, Aron Lindberg.
Business Intelligence & Analytics (BI&A) Corporate Networking Event, Hoboken, NJ, USA, 2018.
Invited Talks and Demos
Collaborative Sensemaking with AI in Visual Analytics
Nov 2026
Montclair State University
Nov 2026
Boston University
Apr 2026
Emory University
Oct 2025
Brown Visual Computing Seminar, Brown University
Oct 2025
University of Massachusetts Boston
Oct 2025
University of Massachusetts Amherst
Oct 2025
Johns Hopkins University
Jul 2025
MIT Lincoln Laboratory
Detecting and Mitigating Pedagogical Risks in LLMs with Visual Analytics
Jul 2025
Tufts University
Apr 2025
Apr 2024
NSF AI Institute AI-ALOE Showcase, Georgia Institute of Technology
KnowledgeVIS: Interpreting Language Models by Comparing Fill-in-the-Blank Prompts
Oct 2024
Invited Journal Paper Talk, IEEE Visualization Conference (VIS)
Preliminary Guidelines for Combining Data Integration and Visual Data Analysis
Oct 2024
Invited Journal Paper Talk, IEEE Visualization Conference (VIS)
Visualizing What Large Language Models Have Learned
Mar 2023
GVU Demo Day, Georgia Institute of Technology
Grants and Funding
2026
Agentic Visual Data Analysis: Knowledge Graph Synthesis using LLMs
Laboratory for Analytic Sciences, North Carolina State University
Laboratory for Analytic Sciences, North Carolina State University
Co-PI: Alex Endert
One-year funding (full tuition + graduate stipend)
2025
Enabling Continuous Analytic Dialogues in Visual Analytics with LLMs and Knowledge Graphs
Laboratory for Analytic Sciences, North Carolina State University
Laboratory for Analytic Sciences, North Carolina State University
Co-PI: Alex Endert
One-year funding (full tuition + graduate stipend)
2024
Incorporating Knowledge Graphs and Large Language Models into Visual Text Analysis Tools
Laboratory for Analytic Sciences, North Carolina State University
Laboratory for Analytic Sciences, North Carolina State University
Co-PI: Alex Endert
One-year funding (full tuition + graduate stipend)
2018
Correlating Long-Term Innovation with Success in Career Progression
Pinnacle Scholar Summer Institutional Research Program, Stevens Institute of Technology
Pinnacle Scholar Summer Institutional Research Program, Stevens Institute of Technology
Co-PI: Aron Lindberg
Funded $5000 for research expenses and living stipend
2017
Managing Simulations of Ion Channeling in Single Crystals
International Summer Abroad Internship Program, Katholieke Universiteit Leuven
International Summer Abroad Internship Program, Katholieke Universiteit Leuven
Co-PI: Lino da Costa Pereira
Funded €3000 from Katholieke Universiteit Leuven and $5000 from Stevens Institute of Technology
Teaching
Spring 2027
Fall 2022, Fall 2025
Graduate Teaching Assistant, CS 6730: Data Visualization Principles
Georgia Institute of Technology, Atlanta, GA
Georgia Institute of Technology, Atlanta, GA
Instructor: Alex Endert
Assisted professor with lectures, grading, team projects; held office hours for student support.
2018 - 2020
Course Assistant, PEP 112S: Honors Electricity & Magnetism
Stevens Institute of Technology, Hoboken, NJ
Stevens Institute of Technology, Hoboken, NJ
Semesterly. Instructor: Christopher Search
Assisted professor with grading, reviews, worksheets, and testing material preparation.
2018 - 2020
Course Assistant, PEP 112: Electricity & Magnetism
Stevens Institute of Technology, Hoboken, NJ
Stevens Institute of Technology, Hoboken, NJ
Semesterly. Instructor: Robert Pastore
Ran 3-hour exam reviews for an average class size of 200 students.
2017 - 2020
Teaching Assistant, CS 105: Intro to Scientific Computing
Stevens Institute of Technology, Hoboken, NJ
Stevens Institute of Technology, Hoboken, NJ
Semesterly. Instructor: Dimitrios Damopoulos
Taught 15-25 students in weekly labs on CS concepts using MATLAB; helped develop course materials.
Advising
Masters Students
Research Advisor
Xinge (Eve) Zhang, Urban Spatial Analytics MS, UPenn.
2026 - present.
2026 - present.
Undergraduate Students
Research Advisor
Astha Shah, CS BS, Tufts.
2026 - present.
2026 - present.
Meng Lincoln Ngy Tang, CS BS, Stevens.
2026 - present.
2026 - present.
Student Mentoring
Ph.D.
Zeyu (Abigail) Hua, CS PhD, Georgia Tech.
2026.
2026.
Developing new LLM-powered algorithms for analyzing and visualizing knowledge graphs.
Sujata Duwal, HCC PhD, Georgia Tech.
2025 - 2026.
2025 - 2026.
Studying trust in decision-making when visualizing LLMs used in education.
Masters
Jennifer Chandran, HCI MS, Georgia Tech.
2025.
2025.
Created an LLM-augmented pipeline that automatically transforms document sets for data analysis.
Ben Klassen, Analytics MS, Georgia Tech.
2024 - 2025.
2024 - 2025.
Developed data science tools that leverage LLMs to enhance intelligence in classrooms and sports analytics.
Sean Ru, CS MS, Georgia Tech.
2024.
2024.
Created LLM-based algorithms that embed data visualizations for improved searchability.
Programs and Outreach
2025 - 2026
Mentor, IC Buddies Mentorship Program
Georgia Institute of Technology, Atlanta, GA
Georgia Institute of Technology, Atlanta, GA
Paired one-on-one with a graduate student, helping them adjust to grad school. Introduced them to faculty connections, discussed graduate research opportunities, and provided guidance on time/workload management.
2022 - 2023
Mentor, Beyond Mentorship Program
Encouraging Women Across All Borders (EWAAB), New York, NY
Encouraging Women Across All Borders (EWAAB), New York, NY
Connected monthly one-on-one with students to discuss professional topics ranging from general professional advice, to applying for job opportunities, to discovering new fields of study.
2017 - 2019
Mentor, Pinnacle Scholar Peer Advisor Program
Stevens Institute of Technology, Hoboken, NJ
Stevens Institute of Technology, Hoboken, NJ
Mentored 4-6 honors freshmen each academic year representing different majors. Provided guidance on internships, classes, international experiences, campus resources. Took students on excursions into Hoboken.
Service and Associations
Professional Societies
Sigma Xi Scientific Research Honor Society (Sigma Xi) since 2025
IEEE Computer Society (IEEE) since 2025
Association for Computing Machinery (ACM) since 2023
Special Interest Group on Computer-Human Interaction (SIGCHI) since 2023
Sigma Pi Sigma (SPS) Physics Honor Society Lifetime, since 2019
American Physical Society (APS) 2016 - 2020
Program Committee
IEEE Visualization Conference (VIS) Short Papers 2026
IEEE Pacific Visualization Conference (PacificVis) Short Papers 2026 - 2027
EuroVis Conference (EuroVis) Full Papers 2027
VISxGenAI Workshop @ IEEE VIS 2026
VAxAutoSci Workshop @ IEEE VIS 2026
Organizing Committee
IEEE Visualization Conference (VIS) Tech Chair 2026
Student Volunteer
ACM Symposium on User Interface Software and Technology (UIST) 2025
Reviewer
IEEE Visualization Conference (VIS) 2022 - 2026
IEEE Pacific Visualization Conference (PacificVis) 2025 - 2027
IEEE Transactions on Visualization and Computer Graphics (TVCG) 2022 - 2026
IEEE Computer Graphics and Applications (CG&A) 2026
EuroVis Conference (EuroVis) 2023 - 2026
ACM Conference on Human Factors in Computing Systems (CHI) 2024 - 2027
ACM Symposium on User Interface Software and Technology (UIST) 2025 - 2026
ACM Conference on Intelligent User Interfaces (IUI) 2026 - 2027
ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW) 2025
ACM Transactions on Interactive Intelligent Systems (TIIS) 2024, 2026
Hawaii International Conference on System Sciences (HICSS) 2026
Human–Computer Interaction (HCI) 2026
Computer Graphics Forum (CGF) 2026
Computers and Graphics (C&G) 2025
Visual Informatics 2025
Outstanding Reviews
IEEE VIS 2023, 2026
ACM CHI 2024, 2025, 2027
ACM IUI 2026
IEEE PacificVis 2027
Press
Apr 2026
This New Tool Makes AI's Role in Student Writing Visible
Tess Malone, Georgia Tech Office of Research
Tess Malone, Georgia Tech Office of Research
Feb 2025
CRIDC 2025 Awards $40,000 to competition winners
Brittani Hill, Georgia Tech Office of Graduate and Postdoctoral Education
Brittani Hill, Georgia Tech Office of Graduate and Postdoctoral Education
Nov 2024
Foley Scholars 2024 Winners and Finalists
Walter Rich, Georgia Tech Office of Research
Walter Rich, Georgia Tech Office of Research
Jul 2024
Visualization Tool Helps Oceanographers Predict Sediment Sample Hotspots
Nathan Deen, Georgia Tech School of Interactive Computing
Nathan Deen, Georgia Tech School of Interactive Computing
Apr 2023
Adam Coscia Presents Visualizations for Interpreting Large Language Models at GVU Center Research Showcase
NSF AI Institute for Adult Learning in Online Education (AI-ALOE)
NSF AI Institute for Adult Learning in Online Education (AI-ALOE)
Nov 2021
DeepSEE: A Virtual Window Under the Waves
Serg Parra, Schmidt Ocean Institute
Serg Parra, Schmidt Ocean Institute