Adrian Pearce delivered a keynote presentation on the combination of AI and Machine Learning in the mining and minerals industry at the 2018 International Mining and Resources Conference (IMARC) held in Melbourne. Adrian highlighted the innovative research being conducted by the Melbourne Mining Integrator and Melbourne School of Engineering (now the Faculty of Engineering and Information Technology), and how METs and mining companies can get involved.
22 October 2018
Michelle Blom wins best paper award at the 2018 International Conference for Electronic Voting
Michelle Blom, together with Vanessa Teague and Peter Stuckey, recently received an award for best paper at the 2018 International Conference for Electronic Voting (EVOTE-ID). Their paper Computing the Margin of Victory in Preferential Parliamentary Elections presents an algorithm for determining the smallest number of cast votes that, if changed, would change the overall winner of the election.
Our researchers win track in the 2018 International Planning Competition
Some outstanding news hot from the ICAPS 2018 auditorium in Delft. Congratulations to Nir Lipovetzky, Miguel Ramirez, and their collaborators Guillem Frances and Hector Geffner, whose planner LAPKT-BFWS-Preference is the winner of the Agile Track in the 2018 International Planning Competition. They are also the runner up in the Satisfying Classical Track with LAPKT-DUAL-BFWS. This is a great achievement to be awarded in two tracks.
Miguel Ramirez wins ICAPS 2018 Outstanding PC Member award
Congratulations to Miguel Ramirez who has won his third outstanding PC member award in two years. Miguel has won two prior AAAI Outstanding PC Member awards for his in depth and insightful reviews.
20 May 2018
Mor Vered wins prestigious PhD thesis award
The lab is delighted to hear today that Mor Vered, Research Fellow in Human-Agent Planning, has won the prestigious Israeli Association for Artificial Intelligence (IAAI) Outstanding Dissertation Award, for her PhD thesis titled ‘Mirroring: A General Approach to Plan and Goal Recognition’, under the supervision of Professor Gal Kaminka at Bar Ilan University, Israel. Mor’s thesis investigated general methods for predicting the plans and intentions of humans in continuous environments. Two PhD awards for group members this week! Well done, Mor!
18 May 2018
Toby Davies wins the John Melvin Memorial Scholarship for the Best PhD Thesis in the Melbourne School of Engineering
Congratulations to Toby Davies and his supervisors Adrian Pearce, Harald Sondergaard, Nir Lipovetzky, and Peter Stuckey, for Toby’s award for the John Melvin Memorial Scholarship for the Best PhD Thesis in the Melbourne School of Engineering. Toby’s thesis, ‘Learning from Conflict in Classical, Multi-Agent, and Temporal Planning’, investigated the combination of optmisation and planning techniques for learning from failures during planning. Well done, Toby!
We delighted to announce the appointment of Mor Vered as Research Fellow in Human-Agent Planning! Mor recently finished her PhD in Bar Ilan University. Her PhD topic was in the field of goal recognition, where she works to incorporate lessons and inspirations from cognitive science in order to create more efficient agents that can cooperate seamlessly in a predominately human environment. Her research interests further include planning, cognitive modelling and explainable AI. Mor brings with her valuable experience in planning, goal recognition, human-agent interaction, and their intersection. Welcome, Mor!
News
1 February 2018
Michael Papasimeon joins us on secondment from DST Group
We’re please to welcome Dr Michael Papasimeon on secondment for 12 months! Michael is a senior research scientist with the Defence Science and Technology Group within the Australian Department of Defence. He has a BSc (Hons) in theoretical physics, a BE (Hons) in software engineering and PhD in artificial intelligence focusing on the intersection of computer science, software engineering and cognitive science for multi-agent simulations. He has over twenty years experience researching, developing, analysing and managing multi-agent simulations applied to solving complex operations research problems. He leads two research projects, one in Machine Discovered Behaviour and one in Enhanced Behaviour Modelling. He is currently seconded for twelve months to the School of Computing and Information Systems at the University of Melbourne, working with the AI and Autonomy Lab on novel behaviour discovery for multi-agent systems.
