AAAI2026

AAAI, AAAI Doctoral Consortium, AAAI2026, ACM SIGAI, opinions

Making AI systems more transparent and trustworthy: an interview with Ximing Wen

The latest interview in our series with the AAAI/SIGAI Doctoral Consortium participants features Ximing Wen who is researching transparent and trustworthy AI systems. We found out more about her work, her experience as a research intern, and what inspired her to study AI. Tell us a bit about your PhD – where are you studying, […]

AAAI, AAAI Doctoral Consortium, AAAI2026, ACM SIGAI, opinions

Interview with Deepika Vemuri: interpretability and concept-based learning

The latest interview in our series with the AAAI/SIGAI Doctoral Consortium participants features Deepika Vemuri who is working on interpretability and concept-based learning. We found out more about the two aspects of concept-based models that she’s been researching. Could you tell us a bit about your PhD – where are you studying, and what is […]

AAAI, AAAI Doctoral Consortium, AAAI2026, ACM SIGAI, opinions

Interview with Xinwei Song: strategic interactions in networked multi-agent systems

In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. We hear from Xinwei Song about the two main research threads she’s worked on so far, plans to expand her investigations, and what inspired her to study AI. Could you start with a quick introduction […]

AAAI, AAAI Doctoral Consortium, AAAI2026, ACM SIGAI, opinions

Formal verification for safety evaluation of autonomous vehicles: an interview with Abdelrahman Sayed Sayed

In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. We sat down with Abdelrahman Sayed Sayed to chat about his work on formal verification applied to autonomous vehicles. Could you tell us a bit about where you’re studying and the broad topic of your […]

AAAI, AAAI Doctoral Consortium, AAAI2026, ACM SIGAI, opinions

Scaling up multi-agent systems: an interview with Minghong Geng

In this interview series, we’re meeting some of the AAAI/SIGAI Doctoral Consortium participants to find out more about their research. Minghong Geng recently completed his PhD and is now working as a postdoctoral researcher at Singapore Management University. We sat down to discuss his research on multi-agent systems. Firstly, congratulations on completing your PhD! What […]

AAAI, AAAI2026, articles

#AAAI2026 invited talk: machine learning for particle physics

Simulated Large Hadron Collider CMS particle detector data depicting a Higgs boson produced by colliding protons decaying into hadron jets and electrons. Reproduced under a CC BY-SA 3.0 licence. Daniel Whiteson is a particle physicist, who uses machine learning and statistical tools to analyze high-energy particle collisions. He is also a dedicated science communicator, having […]

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