ΑΙhub.org
 

Congratulations to the #IJCAI2024 award winners


by
11 June 2024



share this:

AIhub | NeurIPS awardsImage credit: Photo by Giorgio Trovato on Unsplash.

The winners of three International Joint Conferences on Artificial Intelligence (IJCAI) awards have been announced. These three distinctions are: the Award for Research Excellence, the Computers and Thought Award and the John McCarthy Award.

IJCAI-24 Award for Research Excellence

The Research Excellence award is given to a scientist who has carried out a program of research of consistently high quality throughout an entire career yielding several substantial results.

The winner of the 2024 Award for Research Excellence is Thomas Dietterich, Distinguished Professor (Emeritus) and Director of Intelligent Systems, Institute for Collaborative Robotics and Intelligence Systems (CoRIS), Oregon State University, USA. Thomas is recognized for his pioneering work in machine learning, sequential decision-making, safe deployment of machine learning systems, applications to real-world problems in ecosystem management, and for his decades of intellectual leadership in machine learning.

IJCAI-24 Computers and Thought Award

This award is presented to outstanding young scientists in artificial intelligence.

The winner of the 2024 IJCAI Computers and Thought Award is Nisarg Shah, Associate Professor of Computer Science, University of Toronto, Canada. Nisarg is recognized for his contributions to AI and society, in particular foundational work on the theory of algorithmic fairness using principles from social choice theory.

IJCAI-24 John McCarthy Award

This award is intended to recognize established mid-career researchers, typically between fifteen to twenty-five years after obtaining their PhD, that have built up a major track record of research excellence in artificial intelligence.

The winner of the 2024 John McCarthy Award is David Blei, Professor of Statistics and Computer Science, Columbia University, USA. Professor Blei is recognized for his groundbreaking work in machine learning, in particular his field-defining contributions in the areas of topic models and stochastic variational inference.


The IJCAI-24 awards selection committee: Christian Bessiere, Diego Calvanese, Luc De Raedt, Edith Elkind, James Kwok, Zhi-Hua Zhou.


Find out more about the awards here.



tags:


Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

How can we characterize consensus in a network of agents?

  23 Jul 2026
Belief Flow Networks give a logic-based way to ask not only whether connected agents will eventually agree on a shared "belief", but which final shared beliefs can emerge.

Anyone can fake a scientific image with AI, tricking even academic journals – and undermining trust in science

  22 Jul 2026
The proliferation of AI-generated science images in public spaces is not simply a misinformation problem.

AAAI presidential panel – AI and scientific integrity

  21 Jul 2026
Watch the next panel discussion in this series from AAAI.

Congratulations to the #ICML2026 award winners

  20 Jul 2026
Find out which articles have won the outstanding paper, outstanding position paper, and the test-of-time awards.

Interactive world simulator for robot policy training and evaluation

  17 Jul 2026
Yixuan Wang discusses his faithful world simulator that allows robots to learn how to push, pick up, and grasp objects.

#ICML2026 social media round-up

  17 Jul 2026
We take a look at what the participants got up to in Seoul.

François Pachet on music generation with AI

  16 Jul 2026
“The day I hear a song of the quality of the Beatles, I will say: ‘Okay, we are done’. And I’ve never heard anything like that. Never.”

AI for science – talk recordings now available to watch

  15 Jul 2026
Watch the invited talks from the day on YouTube.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence