Past AIH Scholars

Meet our AI Horizons graduate students who are working jointly with faculty at Rensselaer and researchers at IBM on a series of advanced research projects and experiments designed to accelerate the application of artificial intelligence, machine learning, natural language processing, and related technologies.

Xiao Shou
Algorithms for Causal Machine Learning and Decision Making
Colin Sutcher-Shepard
Algorithms for Secure Multi-cloud Enterprise Federated Learning
Nkechinyere N. Agu
Automated Image Description and Search
Yuchen Liang
Automatic Knowledge Graph Construction from Natural Language Text
Ao Liu
Certifiably Robust Interpretation via Rényi Differential Privacy
Gabriel Mancino-Ball
Decentralized Optimization Algorithms
Fenglei Fan
Deep Learning with Quadratic Neurons
Lisha Chen
Foundations of learning with limited data supervision
Joseph Tatro
Geometric Deep Learning for Trusted AI
Burak Varici
Hierarchical Causal Inference
Tyler J. Malloy
Human Inspired Reinforcement Learning
Daniel Gonzalez
Human/AI Collaboration
Zijun Cui
Knowledge Augmented Deep Learning
Bhanushee Sharma
ML framework for Comprehensive Prediction of Human Toxicity
Dong Hu
Numerical Nonlinear Analysis for Deep Learning
Zichong Li
Optimization and Machine Learning
Feifei Pan
Question Answering over Tables
(Md) Shamim Hussain
Structured Prediction and Decision Making
Ren Wang
Toward Practical Data Poisoning Threat Models and Defense Methods
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