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Poster Session

AID 2024

On October 14, a Poster Session will be held at Cirkus from 10:15 to 12:15. This activity offers an excellent opportunity for PhD students and postdocs to present their work to both academic and industry audiences.

The Standing Table Exhibition, Speakers Corner and Poster Session will take place simultaneously, creating multiple opportunities for participants to showcase their work, exchange ideas, and connect.

Venue: Cirkus

Posters exhibited on October 14

Co-design of AI Models and Next-Generation Cellular Networks for Mobile Robotic Manipulation
Alberto Mingoia, KTH Royal Institute of Technology

Industrial rollout of AI development tools
Andreas Bexell, Lund University

Today Me, Tomorrow Thee: Trustworthy, Fair, and Efficient Resource Allocation with Karma Economies
Ezzat Elokda, KTH Royal Institute of Technology

Markerless Motion Capture
Fredrik Malmberg, KTH Royal Institute of Technology

Not All Secrets Are Equal: Type-Aware Unlearning for Language Model Secret Removal
Hoda Fakharzadehjahromy, Linköping University

Explainable RL for unmanned collaborative aircraft systems
Jenni Reuben, KTH Royal Institute of Technology

Advancing Player Identification and Tracking with Global ID Fusion (GIF)
Karol Wojtulewicz, Linköping University

Aligning Backchannel and Dialogue Context Representations via Contrastive LLM Fine-Tuning
Livia Qian, KTH Royal Institute of Technology

GICA: The Gap-Index Compositional Arm Framework for Sample-Efficient Test-Time Scaling
Mohsen Amiri, Stockholm University

Not Everywhere, Not Always: The Conditional Impact of AI on Innovation Outcomes.
Natalie M. Aleksic, Stockholm School of Economics

Co-designing Control and Communication for Wireless Collaborative Robotics
Neelabhro Roy, KTH Royal Institute of Technology

Learning inexact alternating minimization for convex problems with quadratic coupling
Paul Häusner, Uppsala University

Algebra for Synthesis of Control Structures
Prabhat Jha, Chalmers University of Technology

Risk Level Dependent Minimax Quantile Lower Bounds for Interactive Statistical Decision Making
Raghav Bongole, KTH Royal Institute of Technology

Self-Adaptive Routing-Based Multi-Agent Reinforcement Learning for Autonomous Cyber Defense
Zhenlu Sun, Uppsala University