February 22-23, 2022
Collocated with the Thirty-Sixth Conference on Artificial Intelligence (AAAI-22)
External site: https://aaaidc.github.io/dc2022/
The Twenty-Seventh 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 sixteen students accepted to participate in this program will also participate in one of the AAAI-22 Poster Sessions.
AAAI-22 Doctoral Consortium Accepted Papers
Towards Robust Named Entity Recognition via Temporal Domain Adaptation and Entity Context Understanding
Oshin Agarwal
AI-Driven Road Condition Monitoring across Multiple Nations
Deeksha Arya, Sanjay Kumar Ghosh, Durga Toshniwal
Increasing the Diversity of Deep Generative Models
Sebastian Berns
Interpretable Privacy Preservation of Text Representations Using Vector Steganography
Geetanjali Bihani
Using Multimodal Data and AI to Dynamically Map Flood Risk
Lydia Bryan-Smith
Towards Automating the Generation of Human-Robot Interaction Scenarios
Matthew C. Fontaine
An Algorithmic Theory of Markets and Their Application to Decentralized Markets
Denizalp Goktas
Evaluating Explanations of Relational Graph Convolutional Network Link Predictions on Knowledge Graphs
Nicholas Halliwell
Equilibrium Learning in Auction Markets
Stefan Heidekrüger
On the Practical Robustness of the Nesterov’s Accelerated Quasi-Newton Method
S. Indrapriyadarsini, Hiroshi Ninomiya, Takeshi Kamio, Hideki Asai
Creating Interactive Crowds with Reinforcement Learning
Ariel Kwiatkowski
Socially Intelligent Affective AI
Aarti Malhotra
Creating Interpretable Data-Driven Approaches for Tropical Cyclones Forecasting
Fan Meng
On Semantic Cognition, Inductive Generalization, and Language Models
Kanishka Misra
Dynamic Algorithmic Impact Assessment to Promote an Ethical Use of AI in Businesses
Shefeh Prisilia Mbuy
Mutual Understanding in Human-Machine Teaming
Rohan Paleja