Name Project Mentor/Advisor Date
Lillian 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