Twenty-Sixth AAAI/SIGAI Doctoral Consortium

February 2-3, 2021
Collocated with the Thirty-Fifth Conference on Artificial Intelligence (AAAI-21)
External site: https://aaaidc.github.io/dc2021/

The Twenty-Sixth AAAI/SIGAI Doctoral Consortium (DC) provides an opportunity for a group of Ph.D. students to discuss and explore their research interests and career objectives in an interdisciplinary workshop together with a panel of established researchers. The eighteen students accepted to participate in this program will also participate in the AAAI-21 Poster Sessions on Thursday, February 4 (see accepted list below). All interested AAAI-21 student registrants are invited to observe the presentations.

The full Doctoral Consortium schedule is available at https://aaaidc.github.io/dc2021/schedule/.

AAAI and SIGAI gratefully acknowledge the generous grant from the National Science Foundation, which makes this program possible.


 

AAAI-21 Doctoral Consortium Accepted Papers

DC-79: AI for Social Good: Between My Research and the Real World
Zheyuan Ryan Shi

DC-118: Effective Clustering of scRNA-seq Data to Identify Biomarkers without User Input
Hussain A. Chowdhury

DC-127: Verification and Repair of Neural Networks
Dario Guidotti

DC-169: Towards Fair, Equitable, and Efficient Peer Review
Ivan Stelmakh

DC-200: Creating Interpretable Data-Driven Approaches for Remote Health Monitoring
Alireza Ghods

DC-246: Distributed Situation Awareness for Multi-Agent Mission in Dynamic En-vironments: A Case Study of Multi-UAVs Wildfires Searching
Sagir Muhammad Yusuf, Chris Baber

DC-260: On Learning Deep Models with Imbalanced Data Distribution
Puspita Majumdar, Richa Singh, Mayank Vatsa

DC-276: A Computational Approach to Sign Language Understanding
Tejaswini Ananthanarayana

DC-281: Artificial Intelligence and Machine Learning for Autonomous Agents that Learn to Plan and Operate in Unpredictable Dynamic Environments
Leonardo Lamanna

DC-304: How Human Centered AI Will Contribute Towards Intelligent Gaming Systems
Yilei Zeng

DC-311: Perception beyond Sensors under Uncertainty
Masha Itkina

DC-314: Robots that Help Humans Build Better Mental Models of Robots
Preeti Ramaraj

DC-317: Constraint-Driven Learning of Logic Programs
Rolf Morel

DC-318: Screening for Depressed Individuals by Using Multimodal Social Media Data
Paulo Mann, Aline Paes, Elton H. Matsushima

DC-340: Multi-Agent Reinforcement Learning for Decentralized Coalition Formation Games
Kshitija Taywade

DC-415: Transfer Learning of Engagement Recognition within Robot-Assisted Therapy for Children with Autism
Nazerke Rakhymbayeva, Anara Sandygulova

DC-423: Relational Learning to Capture the Dynamics and Sparsity of Knowledge Graphs
Mehrnoosh Mirtaheri

DC-429: Safety Assurance for Systems with Machine Learning Components
Chelsea Sidrane

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