The Doctoral Consortium (DC) is intended to provide Ph.D. students with the opportunity to interact closely with established researchers and to get feedback on their research, provide advice on career possibilities and build a professional network, improving the cohesion of new researchers with the ICAPS community.
The DC is open to all doctoral student attendees of the conference and will take place on October 26. Registering for the Doctoral Consortium will be part of the registration process for the conference and all students are invited to take part in it.
DC Program
Schedule
https://icaps20.icaps-conference.org/schedule.html
| Time (GMT) | Event |
| 13:00-13:05 | Welcome |
| 13:05-14:00 | Student Presentation Session 1 |
| 14:00-15:00 | Student Presentation Session 2 |
| 15:00-16:00 | Social Event |
| 16:00-17:00 | Invited Talk: Amanda Coles |
| 17:00-18:00 | Poster Session |
| 18:00-19:00 | Break |
| 19:00-20:00 | Panel |
| 20:00-21:00 | Invited Talk: Subbarao Kambhampati |
| 21:00-21:50 | Poster Session |
| 21:50-22:00 | Closing Remarks |
Student Presentation – Session 1 (13:00 – 14:00 GMT)
| Student | Topic | |
| 1 | Jiajing Ling | Zone Based Multiagent Pathfinding Under Uncertainty |
| 2 | Rebecca Eifler | Explaining the Space of Plans through Plan-Property Dependencies |
| 3 | Benjamin Krarup | Model-Based Contrastive Explanations for Explainable Planning |
| 4 | Daniel Kasenberg | Explanatory Dialogue with Temporal Logic Objectives |
| 5 | Anubhav Singh | AI Planning in Embedded Autonomous Systems |
| 6 | Ayal Taitler | Methods in Hybrid Planning with Dynamic Models |
| 7 | Julia Wichlacz | Applying Hierarchical Planning in Natural Language Generation |
| 8 | Florian Mischek | Project Scheduling in Industrial Test Laboratories |
| 9 | Lucas Kletzander | Automated Solution Methods for Complex Real-life Personnel Scheduling Problems |
STUDENT PRESENTATION – SESSION 2 (14:00 – 15:00 GMT)
| Student | Topic | |
| 1 | Jiaoyang Li | Pairwise Symmetry Reasoning for Multi-Agent Path Finding |
| 2 | Shushman Choudhury | Hierarchical Decision-Making in Coordinated Multi-Robot Networks |
| 3 | Yotam Amitai | Conveying Agent Behavior Based on Human-Agent Interaction Context |
| 4 | Alba Gragera | Supporting the Formalization of Use Cases in Social Robotics |
| 5 | Stefan-Octavian Bezrucav | Advanced Task Planning for Cooperating Mobile Humans and Robots |
| 6 | Yulin Zhang | Planning and Estimation with Information Stipulations |
| 7 | Anahita Mohseni-Kabir | Efficient Robot Decision-Making for achieving multiple independent tasks |
| 8 | Tianyi Yu | Real-time Planning for Robots Under Uncertainty |
| 9 | Anas Shrinah | Verification of Planning-based Autonomous Systems |
Invited Talk
Speaker: Amanda Coles
Title: The Peer Review Process in AI: How it works and How to Write a Good Review
Abstract:
In this talk I will give an overview of how peer review works in the conferences and journals typically frequented by researchers in ICAPS-related fields. This session will start from the basics, which some of you will already be familiar with, and go on to discuss more detail on the processes and ethics surrounding peer review in our disciplines. Topics include:
– Why one should participate in reviewing;
– How the hierarchy of reviewers is typically set up in AI conferences and journals;
– What to look for in a paper and how to write a good review;
– How to respond well to reviewers’ comments.
You will of course find the process of learning about how to write reviews improves your own ability to write papers that will make it through the peer review process, so learning to review well has benefits for you, as well as for the wider community. All of what I will talk about is based on my own experience as a researcher in planning for 17 years, but of course everyone has their own style of reviewing, I do not claim that there is one definitive ‘best’ way to review, but there are certainly some key principles you should be thinking about.
This session works best if it is interactive, so please feel free to ask lots of questions and contribute to a lively discussion! I am happy to be lead by questions, and focus on the topics that most interest students.
INVITED TALK
Speaker: Subbarao Kambhampati
Title: Planning in the age of deep learning
Video (external recording with Rao’s video)
Panel
Panel on careers in Planning and Scheduling
Panelists:
- Josef Bajada, Lecturer, University of Malta
- Sara Bernardini, Professor, Royal Holloway University of London
- Sarah Keren, Postdoctoral Fellow, Harvard University, Hebrew University
- Andrey Kolobov, Principal Researcher, Microsoft Research Lab
- Hector Palacios, Research Scientist, Element AI
Mentors
Jorge Baier, Pontificia Universidad Católica de Chile
Roman Bartak, Charles University
Blai Bonet, Universidad Simón Bolívar
Adi Botea, Eaton
Alan Fern, Oregon State University
Patrik Haslum, The Australian National University
Subbarao Kambhampati, Arizona State University
Sven Koenig, University of Southern California
Lee McCluskey, University of Huddersfield
Sheila McIlraith, University of Toronto
Christian Muise, Queen’s University
Nysret Musliu, TU Wien
Eva Onaindia, Universitat Politècnica de València
Ron Petrick, Heriot-Watt University
Mak Roberts, Naval Research Laboratory
Wheeler Ruml, University of New Hampshire
Scott Sanner, University of Toronto
Stephen Smith, Carnegie Mellon University
Matthijs Spaan, TU Delft
Sylvie Thiebaux, The Australian National University
Mentoring Program
As part of the Doctoral Consortium, ICAPS will offer a Mentoring Program. The Mentoring Program is designed to provide senior graduate students with an opportunity for in-depth advice by senior members of the field regarding careers and research skills. Each accepted student to the program will be matched with an established researcher in the field who will assist the student with research and career management advice.
We encourage current doctoral students (students whose Ph.D. is in progress, but who are at least a year from defence/completion) to apply for the Mentoring Program. Students do not need to be accepted into the Mentoring Program to attend and participate in the Doctoral Consortium.
Application Procedure for the Mentoring Program
To participate in the Mentoring Program, an application is required. Applicants for the Mentoring Program should submit a single PDF file at https://easychair.org/conferences/?conf=icaps2020 (Doctoral Consortium track) containing:
- A dissertation abstract (not a paper) of at most 4 pages, using AAAI style. The abstract should include an overview of the thesis topic, a summary of the work done so far and future directions.
- A CV.
- A letter from the candidate’s Ph.D. advisor, program coordinator, or the school administration confirming the applicant’s enrollment in the Ph.D. program.
- A representative/exemplary conference publication (for sharing with a mentor – optional).
- A list of potential mentors (optional)
The website for submission will be opened end of January and the submission link will be provided in due time.
Important Dates for Mentoring Program:
- Submission deadline:
February 19February 26, 2020 - Notification date: March 18, 2020
- Doctoral Consortium: October 26, 2020
Contact Information
For any questions or problems, please contact the DC chairs:
- Chiara Piacentini: chiarap[at]mie[dot]utoronto[dot]ca
- Álvaro Torralba: alto[at]cs[dot]aau[dot].dk