Doctoral Consortium

#DC1 Self-Adaptive Swarm System (SASS)
Qin Yang (University of Georgia)
#DC2 Learning and Planning Under Uncertainty for Green Security
Lily Xu (Harvard University)
#DC3 Safety Analysis of Deep Neural Networks
Dario Guidotti (University of Genoa)
#DC4 Deep Reinforcement Learning with Hierarchical Structures
Siyuan Li (Tsinghua University)
#DC5 Hardware-friendly Deep Learning by Network Quantization and Binarization
Haotong Qin (Beihang University)
#DC6 Data Efficient Algorithms and Interpretability Requirements for Personalized Assessment of Taskable AI Systems
Pulkit Verma (Arizona State University)
#DC8 Multi-agent approach to resource allocation in autonomous vehicle fleets
alaa daoud (Mines Saint Etienne)
#DC9 Learning from Multimedia Data with Incomplete Information
Renshuai Tao (Beihang University)
#DC10 An Information-Theoretic Approach on Causal Structure Learning for Heterogeneous Data Characteristics of Real-World Scenarios
Johannes Huegle (Hasso Plattner Institute)
#DC11 Decision Markets for Human-Robot-Interaction Joint Reinforcement Learning*
Wenlong Wang (Massey University)
#DC12 Continual Lifelong Learning for Intelligent Agents
Ghada Sokar (Eindhoven University of Technology (TU/e))
#DC14 Human activity recognition for sensor-based data stream*
Botao Jiao (China University of Mining and Technology)
Yinan GUO (China University of Mining and Technology)
#DC15 Cost-effective Artificial Neural Networks*
Zahra Atashgahi (University of Twente)
#DC16 Fairness Through Time*
Alessandro Castelnovo (Intesa Sanpaolo)
Fabio Mercorio (University of Milan-Bicocca)
Mario Mezzanzanica (University of Milan-Bicocca)
Andrea Cosentini (Intesa Sanpaolo)
#DC17 Uncertain Time Series Classification
Michael F Mbouopda (University Clermont Auvergne)
#DC18 Application For Doctoral Consortium*
Jinming Ma (University of Science and Technology of China)
#DC19 Distributional Metareasoning for Heuristic Search
Tianyi Gu (University of New Hampshire)
#DC20 Fake News Detection in Urdu Language*
Maaz Amjad ( Natural Language and Text Processing Laboratory,Center for Computing Research (CIC), Instituto Politécnico Nacional (IPN) , Mexico)
#DC21 Towards an Explainer-agnostic Conversational XAI
Navid Nobani (University of Milano-Bicocca)
Fabio Mercorio (University of Milan-Bicocca)
Mario Mezzanzanica (University of Milan-Bicocca)
#DC22 Adversarial Examples in Physical World
Jiakai Wang (Beihang University)
#DC23 Bottleneck Identification to Semantic Segmentation of Industrial 3D Point Cloud Scene via Deep Learning
Romain Cazorla (Lab-STICC)
Line Poinel (Segula Technologies)
Panagiotis Papadakis (IMT Atlantique Bretagne/Pays de la Loire, Brest)
Cédric Buche (CROSSING, IRL CNRS)
#DC24 Accounting norms in agent decision process to assess norm efficiency*
Ramarozaka M Tokimahery (University of Fianarantsoa)
Jean-Pierre Müller (CIRAD – SENS)
Hasina Lalaina Rakotonirainy (University of Fianarantsoa, LIMAD, IGMA)
#DC25 Modeling institutions in socio-ecosystems
Sitraka Oliva Raharivelo (University of Antananarivo)
Jean-Pierre Müller (CIRAD – SENS)
#DC26 On the Learnability of Knowledge in Multi-Agent Logics
Ionela G Mocanu (University of Edinburgh)
#DC27 An automated framework for supporting data-governance rule compliance in decentralized MIMO contexts
Rui Zhao (University of Edinburgh)
#DC28 Combining Reinforcement Learning and Causal Models for Robotics Applications
Arquímides Méndez Molina (Instituto Nacional de Astrofísica, Óptica y Electrónica)
#DC29 Robot Manipulation Learning using Generative Adversarial Imitation Learning
Mohamed Khalil Jabri (IMT Atlantique)
#DC30 Planning and Reinforcement Learning for General-Purpose Service Robots
Yuqian Jiang (UT Austin)
#DC31 Nash Welfare in the Facility Location Problem
Alexander Lam (University of New South Wales)
#DC33 Automatic Design of Heuristic Algorithms for Binary Optimization Problems
Marcelo de Souza (Universidade do Estado de Santa Catarina)
#DC34 Greybox Algorithm Configuration
Marie Anastacio (Leiden Institute of Advanced Computer Science, Leiden University)
#DC35 A Human-AI Teaming Approach for Incremental Taxonomy Learning from Text
Andrea Seveso (Unimib)
Fabio Mercorio (University of Milan-Bicocca)
Mario Mezzanzanica (University of Milan-Bicocca)
#DC36 Explainable Artificial Intelligence for Decision Support and Management of Infectious Respiratory Syndromes*
Felipe Zeiser (Unisinos)
#DC38 Inter-Task Similarity for Lifelong Reinforcement Learning in Heterogeneous Tasks
Sergio A Serrano (Instituto Nacional de Astrofísica, Óptica y Electrónica)
#DC39 Automated Facilitation Support in Online Forum
WEN GU (Nagoya Institute of Technology)
#DC40 AI for Planning Public Health Interventions
Aditya S Mate (Harvard University)
#DC41 Towards Robust Dynamic Network Embedding
Chengbin Hou (Southern University of Science and Technology)
Ke Tang (Southern University of Science and Technology)
* Presentation only