SpaceAI: Interactive Poster Session

Exploring the intersection of artificial intelligence and space across policy, engineering, earth observation, life science, astrophysics and mission planning.

Main event: 14 November 2025 • 14:00 – 17:00 CET

Project Websites

Each team maintains a dedicated poster page. Visit the links below to follow their progress and interact with their prototypes.

About the Event

The AI in Space poster session is the culmination of the Principles module of the MSS program. Student teams will explore how artificial intelligence is transforming space activities—from autonomous spacecraft and earth-observation analytics to life-science experiments and policy frameworks. Posters are expected to be interactive, hosted online as single-page web experiences. During the event each team will present their work in the Galaxy Lecture Hall (10 minutes per team), followed by a hands-on Q and A reception in Pioneer Hall where attendees can interact with the digital posters.

The session is modelled after an academic conference but emphasises storytelling and science communication. Posters should engage both specialists and the general public by distilling complex research into a clear narrative. Use visual aids such as diagrams, charts and maps to help your audience follow your story.

Schedule

The poster session will run over several weeks to allow for preparation, workshops and feedback:

DateTimeActivityDescription
20 Oct 2025 16:30–17:30 Kick-off & team formation Introduction of the poster session, overview of the six topics and assignment of students to teams.
24 Oct 2025 15:30–17:00 Poster review Drop-in session for questions on topic selection, data sources and initial poster concepts.
7 Nov 2025 15:00–16:40 Poster workshop Hands-on workshop covering interactive web-technologies (HTML/JS/CSS), storytelling and accessibility.
12 Nov 2025 23:59 Submission deadline Teams submit their finished posters via GitHub pull request.
14 Nov 2025 14:00–15:00 Presentations Each team presents a 10-minute summary of their poster in the Galaxy Lecture Hall.
14 Nov 2025 15:00–17:00 Interactive Q and A Reception Posters are displayed on laptops in Pioneer Hall. Attendees circulate while teams answer questions. Light refreshments provided.

Submission Guidelines

  1. Team formation. Teams of six or seven students have been formed to ensure diversity in gender, nationality, academic background and track.
  2. Poster format. Each poster must be implemented as a single HTML file with associated assets in its own subfolder under posters/. Scrolling down is allowed, but multi-page designs are not.
  3. Technology stack. Use vanilla HTML, CSS and JavaScript. Frameworks (React, Vue, Angular, etc.) are not permitted. You may include lightweight libraries such as Chart.js for charts, Leaflet for maps or D3.js for visualisation. All external libraries must be loaded from a CDN.
  4. Design language. Follow ISU’s corporate style: use the university’s blue and white colours (RGB 0 20 84 and white) and a clean sans-serif font (Calibri or Arial). Ensure sufficient contrast between text and background for readability. Titles should be 40–80 px, section headers 24–28 px and body text 14–18 px.
  5. Narrative structure. Tell a story: define the problem, explain your AI methods or analysis, present your findings and conclude with their impact and future implications. Focus on two or three key messages. Use diagrams, charts and maps to illustrate complex concepts. Tailor the level of detail to your audience.
  6. Accessibility. Provide captions for charts and diagrams. Use alt text for images and ensure that interactive elements (e.g. hover overs) can be navigated with keyboard controls.
  7. Submission. Fork this repository, create a subfolder under posters/ with your team name, add your files and open a pull request by 12 November 2025. Include a short description of your poster in the PR description.

Topics & Teams

The six poster topics align with ISU’s interdisciplinary streams. Each description suggests possible angles; teams are free to define their own research questions within the theme.

AI for Space Engineering & Autonomous Systems

Autonomous spacecraft, robotics and mission control. Investigate AI approaches for guidance, navigation and control, autonomous rendezvous and docking, anomaly detection, adaptive power management or robotic exploration. Highlight case studies such as Mars rovers, OSIRIS-REx or autonomous satellite swarms.

Team members

  • Ruchira Hanumant Huchgol
  • Bailey Thomas Mendel
  • David Razo
  • Venu Satish Jangam
  • Aastha Nareshkumar Bhatt
  • Nina Velimirović
  • Kenneth Ichiro McFarland

AI for Earth Observation & Remote Sensing

Satellite imagery classification, anomaly detection, climate monitoring and disaster response. Explore how machine learning models (CNNs, transformers) process multispectral data, how AI supports climate models, or how edge AI enables on-board data processing.

Team members

  • Nitya Palekar
  • Ella Buchanan
  • Ludivine Euranie
  • Akira Yoshida
  • Vinay Lakshman
  • Sarah Khayat
  • Barnabás Jenőfi

AI, Policy, Ethics & Space Law

Legal frameworks and governance for AI in space. Discuss responsible AI, privacy, bias, liability and accountability in autonomous systems. Assess current space treaties and propose guidelines for the safe integration of AI in commercial and governmental missions.

Team members

  • Benedek Gábriel Sipos
  • Norbert Muzila
  • Luís Marçal Correia Deyrieux Centeno
  • Angelica Cheryl Lee
  • Siya Dave
  • Gioconda Karely Lomeli Fong
  • Vrushali Chittaranjan

AI for Life Sciences & Human Spaceflight

AI-driven health monitoring, life-support control, biological experiments in microgravity and mission scheduling for crewed spacecraft. Examine personalised medicine in space, predictive models for radiation risk, automated plant growth systems and AI-assisted research aboard the ISS.

Team members

  • Xiaoyu Shan
  • Bianca Steffen
  • Noriyasu Shibata
  • Grazia Testa
  • Solange Alejandra Blacutt Condori
  • Mializo Razanakoto
  • Aruna 

AI for Astrophysics & Planetary Science

Applications of AI in analysing astrophysical data, exoplanet detection, cosmic-ray analysis and planetary exploration. Cover AI-based telescopes (e.g. LSST), gravitational-wave data analysis, simulation surrogate models and mission-planning for planetary probes.

Team members

  • Assaf Shaked
  • Juliana Garambone Merege
  • Yankit Kukreja
  • Colin Francis Gross
  • Michael Cebral Lopez
  • Raul Antonio Mariani Galarza
  • Vanessa Angelica Van Decker

AI for Business & Mission Planning

Business and management aspects of AI in space. Investigate how machine learning optimises mission schedules, reduces operational costs, improves supply chains and enables new business models in Earth–orbit and deep-space markets.

Team members

  • Robert Nagy
  • Keita Inoue
  • Darius Craig Dantzler
  • Venkata Sri Varshini Budi
  • Avani Sharan
  • Nikola Kirsten Mazzarella

Storytelling & Design Resources

Use the following resources to inspire your poster design and narrative:

Evaluation Rubric

The poster session will be assessed across the criteria below. Review the expectations to ensure your deliverables meet the highest standard.

Criterion Deliverable Excellent (4 pts) Very Good (3 pts) Good (2 pts) Fail (0–1 pt) Evaluator
Website & Poster Design Interactive website/poster Clean, intuitive layout; responsive across devices; consistent ISU branding; high contrast and accessible fonts; easy navigation; interactivity enhances user experience. Clear layout; minor issues with consistency or accessibility; mostly intuitive navigation; some interactivity present. Usable layout but lacks polish; inconsistencies in branding; limited interactivity; minor design flaws. Confusing layout or navigation; poor colour/contrast choices; little to no interactivity; major design flaws or missing components. External jury
Quality of Work Presented (Content) Written Portion of Poster Comprehensive research; strong alignment with topic; clear objectives, methods, and conclusions; critical analysis; accurate citations and editing. Solid research and organisation; minor gaps in analysis or structure; generally clear methods and conclusions. Basic coverage; incomplete analysis or unclear argument; some inaccuracies or missing citations. Lacks depth or relevance; poorly organised; incorrect or unsupported claims. Instructor
Presentation & Q&A Live presentation & Q&A Engaging delivery; confident and professional; well-structured talk; manages time; thoughtful and accurate responses to questions; encourages discussion. Generally clear and organised; some hesitancy; answers most questions adequately. Understandable but lacks polish; reads or recites rather than engages; limited or superficial responses. Disorganised or hard to follow; fails to answer questions or lacks preparation. External jury
Quality of Graphics & Visuals Graphic and Images on Poster High-resolution, relevant graphics; clear and properly labelled charts/figures; creative and consistent visual style; visuals significantly enhance understanding. Good-quality visuals; mostly clear and labelled; moderate visual impact; minor inconsistencies in style. Adequate visuals but could be clearer; some images pixelated or unnecessary; inconsistent style. Poor-quality or irrelevant images; confusing or mislabeled charts; visuals distract from content. External jury
Quality of Storytelling & Narrative All deliverables Strong narrative arc (problem, methods, results, implications); engages audience; smooth transitions; balanced integration of text and visuals; persuasive conclusion. Coherent narrative; engages audience for most of the work; minor issues with flow or emphasis. Basic narrative but disjointed; limited audience engagement; unclear transitions. Little or no narrative structure; lacks clear purpose; fails to engage or connect ideas. External jury