| Lilian Ngweta | AI Safety Under Distribution Shifts | Mikhail Yurochkin/Qiang Ji | 2022 |
| Harshaa Hiremagalur Narayan | FUN: Federated Unlearning | Ambrish Rawat/Mohammed Zaki | 2022 |
| Qitong Wang | Directed Graph Transformers | Georgios Kollias/Mohammed Zaki | 2022 |
| Timothy Castiglia | Evaluating Feature Importance in Vertical Federated Learning | Yi Zhou/Stacy Patterson | 2022 |
| Mohammad Nizamul Haque | Automatic Low Complexity Adaptaton of Foundation Models | Theodoros Salonidis/Koushik Kar | 2022 |
| Xinying Qu | Foundational Models for Tabular Data | Horst Samulowitz/Thiagarajan Ravichandran | 2022 |
| Ankita Bhaumik | Teaching by Instruction and/or Demonstration | Vinod Muthusamy/Tomek Strzalkowski | 2022 |
| Hanjing Wang | Out-of-Distribution (OOD) Detection Model for Visual Data | Nirmit Desai/Qiang Ji | 2022 |
| Mauricio Gouvea Gruppi | Language Representation Learning for Text Adventure Games | Keerthiram Murugesan/Sibel Adali | 2022 |
| Anik Saha | Knowledge Extraction from Text for Event Forecasting | Oktie Hassanzadeh/Bulent Yener | 2022 |
| Kofi Arhin | Problematic Sample Debugging in Text Datasets | Ioana Baldini/Jason N. Kuruzovich | 2022 |
| Quan Xiao | Bilevel Optimization for Gradient Attacks in Federated Learning | Songtao Lu/Tianyi Chen | 2022 |
| Muhammad Saad Atique | Agent-Based Modeling of Cloud Inequality Impacts on Quality of Life | Aminat Adebiyi/Bolek Szymanski | 2022 |
| Huzaifa Arif | Strengthening and Certifying Adversarial Robustness for Deep Learning | Pin-Yu Chen/ Stacy Patterson | 2022 |
| Naiyu Yin | Generalizable Causal Discovery with Limited Data | Tian Gao/Qiang Ji | 2022 |
| Brandon Rozek | Option Policy Learning for Constrained Initiation Sets | Junkyu Lee/Selmer Bringsjord | 2022 |
| Julia Clare Arrington | Linguistic Aware Transformers | Ishan Jindal/Sibel Adali | 2022 |
| James Onyejizu | Off-Policy Evaluation for Safe Offline Reinforcement Learning | Long Vu/Koushik Kar | 2022 |
| Kaushik Nallan Chakravartula | Control-based Reinforcement Learning | Yingdong Lu/Sandipan Mishra | 2022 |
| Kunyuan Liu | Causal Model-based Reinforcement Learning | Elliot Nelson/Jianxi Gao | 2022 |
| Heshan Devaka Fernando | Multi-task Text-based Reinforcement Learning | Subhajit Chaudhury/Tianyi Chen | 2022 |
| Chibuikem Ezemaduka | AI-driven 6G Networks | Changchang Liu/Alhussein Abouzeid | 2022 |
| Bishwajit Saha | Unsupervised and Semi-supervised Clustering using Associative Memories | Dmitry Krotov/Mohammed Zaki | 2022 |
| Dhruva Narayan | Active learning for AI Applications at the Edge | Hui Wu/Mohammed Zaki | 2022 |
| Sola Shirai | Graphical Event Models | Debarun Bhattacharjya/Deborah McGuinness | 2022 |
| FNU Mohbat | Combining Modalities for Document Understanding and Question Answering | Ashish Verma/Mohammed Zaki | 2022 |
| Diego Machado Reyes | Detecting Bias in Genetic Risk Prediction from Biobank Scale Data | Aritra Bose/Pingkun Yan | 2022 |
| Abolaji Adesoji | Strengthening and Certifying Adversarial Robustness for Deep Learning | Pin-Yu Chen/Mark Shepard | 2021 |
| Kofi Arhin | Adversarial Data and Bias in NLP Tasks | Ioana Baldini/Jason Kuruovich | 2021 |
| Bashirul Azam Biswas | Causal Visual Question answering For Assisting the Visually Impaired | Youssef Mroueh/Qiang Ji | 2021 |
| Timothy Castiglia | Robust and Efficient Vertical Federated Learning | Shiqiang Wang/Stacy Patterson | 2021 |
| Devanshoo Jain | Broadening and Generalizing Human-AI Data Labeling | Michelle Brachman/Thilanka Munasinghe | 2021 |
| Xiao Jin | Integration of Scientific Knowledge in Neural Networks for Explainability and Causlity | Levente Klein/Tiany Chen | 2021 |
| Kevin Kim | Exploring Bias in Patients Representation | Mohammed Ghalwash/Ale Gittens | 2021 |
| Zan Li | Learning the time evolution of joint probability distribution of multi-variate stochastic process for industrial | Kyongmin Yeo/Bulent Yener | 2021 |
| Zhicheng Liang | Combining World-knowledge with lexical representations for natural language understanding | Rosario Uceda-Sosa/Deborah McGuinness | 2021 |
| Manqing Ma | Conversation Summarization | Chulaka Gunasekara/Boleslaw Szymanski | 2021 |
| Fnu Mohbat | Combining Modalities for Document Understanding and Question Answering | Catherine Finegan-Dollak/Mohammad Zaki | 2021 |
| Arpan Mukherjee | Data-aware, Resource Efficient Federated Learning | Theodoros Salonidis/Ali Tajer | 2021 |
| Hilal Pataci | Analyzing earnings call transcripts through NLP techniques to inform stock recommendations | Yannis Katsis/T. Ravichandran | 2021 |
| Vandita Patidar | Process Aware Explainability for | Vinod Muthusamy/Richard Plotka | 2021 |
| Vijay Sadashivaiah | Explainable Transfer Learning | Keethiram Murugesan/Jim Hendler | 2021 |
| Anik Saha | Causal Knowledge Extraction from Text | Oktie Hassanzadeh/Bulent Yener | 2021 |
| Chirag Sahni | Automatic Conversion of Machine Learning Transformers to Relational Algebra (Implementation Using Spark SQL | Avi Shinnar/Lydia Manikonda | 2021 |
| Shlok Shah | Evaluation UI for NLP | Khoi-Nguyen Tran/Ashley Williams | 2021 |
| Han Shen | Fully Decentralized Nonconvex Bilevel Programming for Meta and Continual Learning | Xiaodong Cui/Tianyi Chen | 2021 |
| Neelanga Thelasingha | Model based Reinforcement Learning and Control | Yingdong Lu/Agung Julius | 2021 |
| Hanjing Wang | Graphical Event Models (GEMs) | Debarun Bhattacharjya/Qiang Ji | 2021 |
| Qitong Wang | Impact of Dialog Length on Various Dialog Tasks | Jatin Ganhotra/Mohammed Zaki | 2021 |
| Ruixuan Yan | TRAIL Reasoner | Ibrahim Abdelaziz/Agung Julius | 2021 |
| Shu Yang | Data Driven Model-Based Dynamic Control (in Auto DO) | Long Vu/B. Wayne Bequette | 2021 |
| Bingsheng Yao | Automated Open Book Q&A Generation as a Chatbot | Mo Yu/Jime Hendler | 2021 |
| Lucky Yerimah | Novel Approaches for (Combinatorial) Black-Box Optimization | Parikshit Ram/B. Wayne Bequette | 2021 |
| Naiyu Yin | (Causal) Graphical Models with Knowledge Constraints under Limited Data | Tian Gao/Qiang Ji | 2021 |
| Karan Bhanot | HEALS: Algorithmic Stability, Uncertainty and Fairness in Healthcare | Yoonyoung Park/Kristin Bennett | 2021 |
| Shruthi Chari | Contextualizing XAI for Health | Prithwish Chakraborty/Deborah McGuinness | 2021 |
| Jay Franklin | Assessing Fairness Metrics for Learning Patient Representation | Mohamed Ghalwash/Deborah McGuinness | 2021 |
| Saksham Chawla | Scalable Platforms for AI for Social Good | Ioana Baldini/Ashley Williams | 2020 |
| Daniel Gonzalez | Elicitation Techniques for Generating AI Model Documentations | David Pirokowski/David Mendonca | 2020 |
| Abhishek Gupta | Auto AI+Viz: Visualization for Auto AI | Daniel Karl/Ashley Williams | 2020 |
| Dong Hu | Matrix and Tensor Algebra - Theory and Algorithms | Shashanka Ubaru/Alex Gittens | 2020 |
| Chukwuemeka Ike | Performance Benchmarking of AI Workloads on Composable Server, Approximate Computing Hardware, and Analog Hardware | Kaoutar ElM/Agung Julius | 2020 |
| Jiarui Jiang | Problems Manipulators | Cristina Cornelio/Ashley Williams | 2020 |
| Neha Keshan | Human-AI Collaboration in Cooperative AI-Driven Game | Zahra Asktorab/James Hendler | 2020 |
| Kuangzheng Li | Population based Learning of Collaborative Agents | Wei Zhang/Ashley Williams | 2020 |
| Zan Li | AutoML (Automated Machine Learning) with Human-in-the-Loop | Dakuo Wang/Bulent Yener | 2020 |
| Xuye Liu | AutoML (Automated Machine Learning) with Human-in-the-Loop | Dakuo Wang/William Ashley | 2020 |
| Shweta Narkar | Interactive Explainable AI for Auto AI | Vera Liao/Peter Fox | 2020 |
| Hilal Pataci | Causal Knowledge Extraction from Text | Okti Hassanzadeh/Bill Francis | 2020 |
| Sergio Dorado-Rojas | Steam Turbine Neural Network-Based differential and Algebraic, Simulation for Failure Detection Exploiting Physical-Based Models | Bhanu Vinzamuri/Luigi Vanfret | 2020 |
