Doctoral Consortium

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


Time (GMT)Event
13:05-14:00Student Presentation Session 1
14:00-15:00Student Presentation Session 2
15:00-16:00Social Event
16:00-17:00Invited Talk:
Amanda Coles
17:00-18:00Poster Session
20:00-21:00Invited Talk:
Subbarao Kambhampati
21:00-21:50Poster Session
21:50-22:00Closing Remarks
Student Presentation – Session 1 (13:00 – 14:00 GMT)
1Jiajing LingZone Based Multiagent Pathfinding Under Uncertainty
2Rebecca EiflerExplaining the Space of Plans through Plan-Property Dependencies
3Benjamin KrarupModel-Based Contrastive Explanations for Explainable Planning
4Daniel KasenbergExplanatory Dialogue with Temporal Logic Objectives
5Anubhav SinghAI Planning in Embedded Autonomous Systems
6Ayal TaitlerMethods in Hybrid Planning with Dynamic Models
7Julia WichlaczApplying Hierarchical Planning in Natural Language Generation
8Florian MischekProject Scheduling in Industrial Test Laboratories
9Lucas KletzanderAutomated Solution Methods for Complex Real-life Personnel Scheduling Problems
Session 1 (13:00 – 14:00 GMT)
1Jiaoyang LiPairwise Symmetry Reasoning for Multi-Agent Path Finding
2Shushman ChoudhuryHierarchical Decision-Making in Coordinated Multi-Robot Networks
3Yotam AmitaiConveying Agent Behavior Based on Human-Agent Interaction Context
4Alba GrageraSupporting the Formalization of Use Cases in Social Robotics
5Stefan-Octavian BezrucavAdvanced Task Planning for Cooperating Mobile Humans and Robots
6Yulin ZhangPlanning and Estimation with Information Stipulations
7Anahita Mohseni-KabirEfficient Robot Decision-Making for achieving multiple independent tasks
8Tianyi YuReal-time Planning for Robots Under Uncertainty
9Anas ShrinahVerification of Planning-based Autonomous Systems
Session 2 (14:00 – 15:00 GMT)
Invited Talk

Speaker: Amanda Coles

Title: The Peer Review Process in AI: How it works and How to Write a Good Review


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.


Speaker: Subbarao Kambhampati

Title: Planning in the age of deep learning

Video (recording from Zoom)

Video (external recording with Rao’s video)


Panel on careers in Planning and Scheduling


  • 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

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 (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 19 February 26, 2020
  • Notification date: March 18, 2020
  • Doctoral Consortium: October 26, 2020

Contact Information

For any questions or problems, please contact the DC chairs: