Degree Recipients

• Name: Cui, Hejie
  Advisor: Carl Yang
  Dissertation: AI-Assisted Healthcare with Multimodal Structured Knowledge Extraction and Augmented Inference

• Name: Finch (Fillwock), Sarah
  Advisor: Jinho C. Choi
  Dissertation: Enriching Open-Domain Dialogue Models with Predictive Social Commonsense

• Name: Finch, James
  Advisor: Jinho C. Choi
  Dissertation: Leveraging Diverse Data Generation for Domain-Adaptable Dialogue State Tracking 

• Name: Julian, Abigail
  Advisor: Lars Ruthotto
  Dissertation: Automatic Hyperparameter Tuning in Physics-Based Distortion Corruption for Diffusion Tensor Imaging

• Name: Kan, Xuan
  Advisor: Carl Yang
  Dissertation: Empower Deep Learning for Brain Network Analysis

• Name: Lu, Jiaying
  Advisor: Carl Yang
  Dissertation: Learning Structured Knowledge for Real-World Data without Excessive Annotations

• Name: Madondo, Malvern
  Advisor: Lars Ruthotto
  Dissertation: Applications of Closed-loop Control in Biomedical Interventions: From Neural Modulation to Diabetes Management

• Name: Xie, Han
  Advisor: Carl Yang
  Dissertation: Federated Learning on Graphs: New Scenarios, Challenges, and Methods

• Name: Yu, Shaojun
  Advisor: Zhaohuin Qin
  Dissertation: Applications of Machine learning in Imaging genetics

• Name: Zhang, Yazhuo
  Advisor: Ymir Vigfusson
  Dissertation: Data-driven Performance Modeling in Complex Networked Systems

• Name: He, Han
  Advisor: Jinho D. Choi
  Dissertation: Computational Structures as Neural Symbolic Representation

• Name: Lee, Eric
  Advisor: Joyce C. Ho
  Dissertation: Automating Biomedical Abstract Screening using Network Embedding

• Name: Ma, Shuaicheng
  Advisor: Ymir Vigfusson
  Dissertation: Understanding and Incentivizing Behavior in Emerging Decentralized Ecosystems

• Name: Ma, Wenjing
  Advisor: Hao Wu
  Dissertation: Cell type identification in single-cell genomics and its applications

• Name: Razmi Marani, Fereshteh
  Advisor: Li Xiong
  Dissertation: Defensive Machine Learning Techniques for Countering Adversarial Attacks

• Name: Sarikhani, Parisa
  Advisor: Babak Mahmoudi
  Dissertation: Precision Neuromodulation Therapies Using Artificial Intelligence

• Name: Wang, Zihao
  Advisor: Jinho D. Choi
  Dissertation: Contextual Embedding Representations for Retrieval-Based and Generation-Based Dialogue Systems

• Name: Xu, Liyan
  Advisor: Jinho D. Choi
  Dissertation: Enhancing Document Understanding through the Incorporation of Structural Inference

• Name: Zhang, Jing
  Advisor: Joyce C. Ho
  Dissertation: Attention-enhanced Deep Learning Models for Data Cleaning and Integration

• Name: Gao, Yuyang
  Advisor: Liang Zhao
  Dissertation: Interpretable and Interactive Representation Learning on Geometric Data

• Name: Guo, Xiaoyuan
  Advisor: Imom Banerjee
  Dissertation: Medical Image Analysis with Deep Learning under Limited Supervision

• Name: He, Huan
  Advisors: Joyce C Ho and Yuanzhe Xi
  Dissertation: Acceleration Algorithms for Machine Learning Models

• Name: Huang, Yanting
  Advisor: Zhaohui Qin
  Dissertation: Disease Risk Annotation of Genomic and Epigenomic Variants using Machine Learning Approaches

• Name: Lin, Romgmei
  Advisor: Li Xiong
  Dissertation: Exploring Invariance in Single and Multi-modal Deep Representation Learning

• Name: Salari Sharif Abad, Mohsen
  Advisor: Gari Clifford
  Dissertation: Framework for Spatial Health Analytics Using Digital Exhaust, Crowd-Source Data and Electronic Health Records

• Name: Wang, Junxiang
  Advisor: Liang Zhao
  Dissertation: The Applications of Alternating Minimization Algorithms on Deep Learning Models

• Name: Wang, Wenjie
  Advisor: Li Xiong
  Dissertation: Towards the Robustness of Deep Learning Systems Against Adversarial Examples in Sequential Data

• Name: Yu, Hanyi
  Advisor: Jun Kong and Vaidy Sunderam
  Dissertation: Computational Image Processing and Deep Learning with Multi-Model Biomedical Image Data

• Name: Zhou, Jianghong
  Advisor: Eugene Agichtein
  Dissertation: Improving Interactive Search with User Feedback

• Name: Ahmadvand, Ali
  Advisor: Eugene Agichtein
  Dissertation: Knowledge-Aware User Intent Inference for Web Search and Conversational Agents Open Access

• Name: Gero, Zelalem
  Advisor: Joyce C Ho
  Dissertation: Machine Learning Methods for Biomedical Keyphrase Extraction

• Name: Karisani, Payam
  Advisor: Li Xiong
  Dissertation: Mining User Generated Content: Addressing Data Scarcity in Filtering Tasks

• Name: Katebijahromi, Nasim
  Advisor: Gari D Clifford
  Dissertation: Detection of Adverse Events in Pregnancy Using a Low-Cost 1D Doppler Ultrasound Signal

• Name: Ma, Jing
  Advisor: Joyce C Ho
  Dissertation: Federated Tensor Factorization for Collaborative Health Data Analytics

• Name: Mobadersany, Pooya
  Advisor: Lee Cooper
  Dissertation: Predicting Time-to-Event and Clinical Outcomes from High-Dimensional Unstructured Data

• Name: Onken, Derek
  Advisor: Lars Ruthotto
  Dissertation: Optimal Control Approaches for Designing Neural Ordinary Differential Equations

• Name: Ren, Yifei
  Advisor: Li Xiong
  Dissertation: Temporal Irregular Tensor Factorization and Prediction for Health Data Analysis

• Name: Sotoodeh, Mani
  Advisor: Joyce C Ho
  Dissertation: Crowdsourcing and Semi Supervised Learning for Detection and Prediction of Hospital Acquired Pressure Ulcer Injury

• Name: Su, Kenong
  Advisor: Hao Wu
  Dissertation: Statistical Modeling and Learning in Single Cell RNA Sequencing Data

• Name: Tabaie, Azade
  Advisor: Rishi Kamaleswaran
  Dissertation: Predicting Rare Clinical Events in Complex and Dynamic Environments

• Name: Tageldin, Mohamed Amgad Elsayed Ahmed
  Advisor: Lee Cooper
  Dissertation: Computational discovery of interpretable histopathologic prognostic biomarkers in invasive carcinomas of the beast

• Name: Tahmasebian, Farnaz
  Advisor: Li Xiong
  Dissertation: Robust Crowdsourcing and Federated Learning under Poisoning Attacks

• Name: Tang, Pengfei
  Advisor: Li Xiong
  Dissertation: Deep Learning with Differential Privacy and Adversarial Robustness

• Name: Zhang ,Lei
  Advisor: Ymir Vigfusson
  Dissertation: Measurement and Analysis Methods of Performance Problems in Distributed Systems

• Name: Zhang, Qiuchen
  Advisor: Li Xiong
  Dissertation: Differentially Private Deep Learning

• Name: Dias Lima Gramacho, Sergio Luis
  Advisor: Avani Wildani
  Dissertation:Autonomic Formation of Large Scale Wireless Mesh Networks

• Name: Nasiri Ghosheh Bolagh, Samaneh
  Advisor: Gari D Clifford
  Dissertation:Generalizable Machine Learning Methods for Electrophysiology

• Name: Shin, Bonggun
  Advisor: Joyce C Ho
  Dissertation:Deep Learning Approaches Towards Computerized Drug Discovery

• Name: Valderrama Cuadros, Camilo Ernesto
  Advisor: Gari D Clifford
  Dissertation:A framework for gestational development tracking using 1D-Doppler ultrasound signals in rural Guatemal

• Name: Harati, Sahar
  Advisor: Shamim Nemati
  Dissertation:Machine Learning Methods for Quantification of Depression Severity and Prediction of Recovery Trajectory using Longitudinal Video and Audio Data, with Applications to Deep Brain Stimulation Treatment

• Name: Rossetti, Blair
  Advisor: James Nagy
  Dissertation:Bioimage Informatics in the Big Data Era: Algorithms for High-Dimensional Spectral, Volumetric, and Temporal Image

• Name: Yousefi, Safoora
  Advisor: Lee Cooper
  Dissertation:Neural Networks for Cancer Survival Analysis Using High-Dimensional Data

• Name: Garvey, Clarissa
  Advisor: James Nagy
  Dissertation:Truncated Singular Value Decomposition Approximation for Structured Matrices via Kronecker Product Summation Decomposition

• Name: Sun, Xiaobo
  Advisor: Zhaohui Qin
  Dissertation:The Applications of Big Data Analytics and Machine Learning in Managing, Processing and Analyzing Big Omics Data

• Name: Xu, Tianlei
  Advisor: Zhaohui Qin and Hao Wu
  Dissertation:Statistical and Machine Learning Methods in the Studies of Epigenetics Regulation

• Name: Chen, Li
  Advisor: Zhaohui Qin and Hao Wu
  Dissertation:Statistical and Informatics Methods for Analyzing Next Generation Sequencing Data

• Name: Chien, Jung-Ting
  Advisor: Mary Galinski and Zhaohui Qin
  Dissertation:An application of DIKW Model in Malaria Systems Biology Study: From NGS Data to Disease Progression Insight

• Name: Garcia Ulloa, Daniel
  Advisor: Li Xiong and Vaidy Sunderam
  Dissertation:Task Recommendation and Information Fusion in Spatial Crowdsourcing

• Name: Jurczyk, Tomasz
  Advisor: Jinho Choi
  Dissertation:Improving Question Answering by Bridging Linguistics: Structures and Statistical Learning

• Name: Li, Haoran
  Advisor: Li Xiong
  Dissertation:Differentially Private Data Release and Analytics

• Name: Liu, Jinfei
  Advisor: Li Xiong
  Dissertation:Fast and Adaptive Algorithms for Skyline Computation

• Name: Nalisnik, Michael
  Advisor: Lee Cooper
  Dissertation:Scalable Computational Pathology: From Interactive to Deep Learning

• Name: Pournajaf, Layla
  Advisor: Li Xiong and Vaidy Sunderam
  Dissertation:Privacy-Aware task Management for Mobile Crowd Sensing

• Name: Savenkov, Denis
  Advisor: Eugene Agichtein
  Dissertation:Question Answering with User-Generated Content

• Name: Xiao, Yonghui
  Advisor: Li Xiong
  Dissertation:Protecting Locations of Individual Movement under Temporal Correlations

• Name: Solomon, Michael
  Advisor: Vaidy Sunderam and Li Xiong
  Dissertation:Efficient Search and Computation on Encrypted Data with Access Control

• Name: Xu, Xiaofeng
  Advisor: Li Xiong
  Dissertation:Indexing Moving Objects for Predictive Spatio-Temporal Queries

• Name: Agravat, Sanjay
  Advisor: Lee Cooper and Richard Cummings
  Dissertation:Bioinformatics Methods and Tools for Glycomics

• Name: Bonomi, Luca
  Advisor: Li Xiong
  Dissertation:Big Data goes Personal: Privacy and Social Challenges

• Name: Lagun, Dmitry
  Advisor: Eugene Atichtein
  Dissertation:Modeling User Attention and Interaction on the Web

• Name: Liu, Qiaoling
  Advisor: Eugene Agichtein
  Dissertation:Improving Usefulness of Community Question Answering Services towards Better Searcher Satisfaction and Question Recommendation

• Name: Przybylinski, Thomas
  Advisor: James Lu
  Dissertation:New Insights Into the Similarity and Difference of Propositional Models Via Symmetry

• Name: Zheng, Shuai
  Advisor: James Lu
  Dissertation:Online Learning Based Clinical Information Extraction and Classification

• Name: Aji, Ablimit
  Advisor: Fusheng Wang
  Dissertation:High Performance Spatial Query Processing for Large Scale Spatial Data Warehousing

• Name: Berisha, Sebastian
  Advisor: James Nagy
  Dissertation:Inverse Problems in Hyperspectral Imaging

• Name: Denas, Olgert
  Advisor: James Taylor
  Dissertation:Deep Models for Gene Regulation

• Name: Fan, Liyue
  Advisor: Li Xiong
  Dissertation:Preserving Individual Privacy in Spatio-Temporal Data Analytics

• Name: Goryczka, Slawek
  Advisor: Li Xiong
  Dissertation:Secure and Privacy-Preserving Distributed Data Release

• Name: Slawinski, Jaroslaw
  Advisor: Vaidy Sunderam
  Dissertation:Adaptive approaches to Utility Computing for Scientific Applications

• Name: Wang, Yu
  Advisor: Eugene Agichtein
  Dissertation:Modeling Temporal Dynamics in User Generated Content

• Name: Yuan, Shuai
  Advisor: Zhaohui Qin
  Dissertation:Applying Diploid Method to Improve Read-mapping and Analysis Based on NGS Data

• Name: Gardner, James
  Advisor: Li Xiong
  Dissertation:Privacy Preserving Medical Data Publishing

• Name: Guo, Qi
  Advisor: Eugene Agichtein
  Dissertation:Modeling Rich Interactions for Web Search Intent Inference, Ranking and Evaluation

• Name: Knepper, Sarah
  Advisor: James Nagy
  Dissertation:Large-Scale Inverse Problems in Imaging: Two Case Studies

• Name: Siva, Sebastien
  Advisor: James J. Lu
  Dissertation:Enabling Relational Databases for Effective CSP Solving

• Name: Horesh, Raya
  Advisor: Eldad Haber
  Dissertation:Numerical Optimization for Transport and Registration Problems

• Name: Jurczyk, Pawel
  Advisor: Li Xiong
  Dissertation:Towards Scalable and Privacy-Preserving Integration of Distributed Heterogeneous Data