The list below contains the student's name and dissertation/thesis title of recent graduates. [Computer Science Doctoral program unless otherwise indicated - e.g., Interdisciplinary Graduate Program in Informatics (IGPI)]

2025 - 2026

Yumna Anwar
Deep Learning for Real-World Sound Processing in Healthcare
Ph.D. received December 2025
Advisor: Octav Chipara

Bekir Zahit Demiray (IGPI - Information Science)
Bridging Hydrological Modeling and AI: Advancing Streamflow Forecasting with Multi-Task Learning and Spatio-Temporal Data Improvement
Ph.D. received December 2025
Advisor: Ibrahim Demir

Zhengyang He
Enhancing Software Based Soft Error Resilience in High-Performance Computing Systems Through Cross-layer Optimization and Performance Variation Analysis
Ph.D. received December 2025
Advisor: Guangpeng Li

2024 - 2025

Hussam Habib
How do Social Media Platforms Influence Our Beliefs and Behaviors?
Ph.D. received August 2025
Advisor: Rishab Nithyanand

Md Kowsar Hossain
Overcoming communication failures in reliable and real-time cyber-physical networks
Ph.D. received August 2025
Advisor: Octav Chipara

Mudathir Mohamed
Extensions to Theories of Relations and Tables in SMT
Ph.D. received August 2025
Advisor: Cesare Tinelli

Maaz Bin Musa
Protecting Users Online Privacy Through Enhanced Transparency and Accountability
Ph.D. received August 2025
Advisor: Rishab Nithyanand

Ingroj Shrestha
Detection and Mitigation of Biases in Large Language Models Through Diverse Lenses and Methods for Fairness
Ph.D. received August 2025
Advisor: Padmini Srinivasan

Mary Wilson (IGPI - Information Science)
Transcriptomic and Metagenomic Characteristics of Visceral Leishmaniasis 
Ph.D. received August 2025
Advisor: Andrew Kitchen

Hammas Bin Tanveer
Towards a Secure and Accessible Internet Over IPV6
Ph.D. received May 2025
Advisor: Rishab Nithyanand

Nahid Zeinali (IGPI - Information Science)
Enhancing Cancer Symptom Detection in Electronic Health Records Using Artificial Intelligence
Ph.D. received May 2025
Advisor: Stephanie White

Rachel Fitzjerrells (IGPI - Information Science)
Determining the Impact of the Microbiome on Health and Disease: Using Standard and Advanced Bioinformatics
Ph.D. received December 2024
Advisor: Ashutosh Mangalam

Shreya Ghimire (IGPI - Information Science)
Advancing Translational Bioinformatics: Techniques for Addressing Research Barriers
Ph.D. received December 2024
Advisor: Alejandro Pezzulo

Osama Khalid
Charting Sensorial Style: New Frontiers in Linguistic Style Analysis
Ph.D. received December 2024
Advisor: Padmini Srinivasan

Arjun Viswanathan
Automating Interactive Theorem Provers and Certifying Automated Theorem Provers
Ph.D. received December 2024
Advisor: Cesare Tinelli

2023 - 2024

Han Bao (IGPI - Information Science)
Estimating Human Mobility Responses to Social Disruptions through Spatio-Temporal Deep Generative Learning Methods
Ph.D. received August 2024
Advisor: Juan Pablo Hourcade

Anthony Cantor
A Semantics and a Sequent Calculus for Dual Counterpart Intuitionistic Logic
Ph.D. received August 2024
Advisor: Aaron Stump

Flannery Currin
Adapting e-Books and a Teleoperated Agent Designed in Preschool Contexts for Play-Based Group Therapy for Children Developing Social Play, Executive Function, and Adaptive Behavior Skills
Ph.D. received August 2024
Advisor: Juan Pablo Hourcade

Michalis Kantartjis (IGPI - Information Science)
Enhancing Public Health Communication and Decision-making: Evaluating the Efficacy of Bivariate Choropleth Mapping Using Eye Tracking
Ph.D. received August 2024
Advisor: Juan Pablo Hourcade

Andrew Marmaduke
A Proof Theoretic Redesign of the Calculus of Dependent Lambda Eliminations
Ph.D. received August 2024
Advisor: Aaron Stump

Elizabeth Zak (IGPI - Information Science)
Can I Trust This Image?: Evaluating the Relationship Between Information Literacy Skills and the Ability to Identify Visual Misinformation
Ph.D. received August 2024
Advisor: Iulian Vamanu

Alexis Graves (IGPI - Information Science)
A Team Science Characterization of the National COVID Cohort Collaborative (N3C)
Ph.D. received May 2024
Advisor: David Eichmann

Hankyu Jang
Healthcare Associated Infections: Computational Modeling, Inference, and Prediction
Ph.D. received December 2023
Advisors: Sriram Pemmaraju and Alberto Segre
Employment: Applied Scientist; Amazon - Buyer Risk Prevention team

Muhammad Hammad Mazhar
Improving the Safety of IoT Systems through Usable Policy Enforcement
Ph.D. received December 2023
Advisor: Alberto Segre
Employment: Assistant Professor; University of Northern Colorado

Qi Qi
Efficient Algorithms for Distributionally Robust Optimization and its Applications
Ph.D. received December 2023
Advisor: Bijaya Adhikari

Momina Tabish
Hidden Truths: Norms in Clinical Practice
Ph.D. received December 2023
Advisor: Padmini Srinivasan

Adnan Ahmed
A Top-Down Look into the Performance of Web Applications
Ph.D. received August 2023
Advisor: Rishab Nithyanand
Employment: Research Scientist; CAIDA - University of California San Diego

Dat Hong
Building Interpretable Machine Learning Models for Sequential Data
Ph.D. received August 2023
Advisor: Alberto Segre; Tong Wang
Employment: Postdoctoral Research Scholar; Yale School of Management

Christa Jenkins
Elaborating Inductive Definitions in the Calculus of Dependent Lambda Eliminations
Ph.D. received August 2023
Advisor: Aaron Stump
Employment: Postdoctoral Research Scholar; Stony Brook University - Computer Science

Cory Kromer-Edwards
Predicting Antibiotic Resistance Using Machine Learning
Ph.D. received August 2023
Advisor: Suely Oliveira
Employment: Bioinformatics Scientist/Computer Scientist; JMI Laboratories

Jeehan Malik
Understanding How Emerging Technologies Impact Pedestrian Street-Crossing Behavior
Ph.D. received August 2023
Advisor: Jeehan Malik
Employment: Human Factors Engineer; Apple

Muhammed Sit (IGPI - Information Science)
Augmentation and Extrapolation of Streamflow and Rainfall Datasets Using Deep Learning
Ph.D. received August 2023
Advisor: Ibrahim Demir
Employment: Senior Data Scientist; PwC

2022 - 2023

Zhuoning Yuan
Deep AUC Maximization
Ph.D. received May 2023
Advisor: Tianbao Yang
Employment: Machine Learning Scientist; Netflix

Dixian Zhu
From Distributionally Robust Optimization to Broader Machine Learning Applications
Ph.D. received May 2023
Advisor: Tianbao Yang
Employment: Postdoctoral Scholar - Genetics; Stanford

Jonathan Rusert
The Dark Side of Text Classification: Addressing the Negative Aspects Plaguing Text Classifiers
Ph.D. received Dec 2022
Advisor: Padmini Srinivasan
Employment: Assistant Professor; Purdue

Dhruv Vyas
Common Configurations and Personalization Systems for Over-The-Counter Hearing Aids
Ph.D. received Dec 2022
Advisor: Octav Chipara
Employment: Post Doctoral Research Fellow; The University of Iowa

Federico Antolini (IGPI - Geoinformatics)
Geospatial Methods for Distributed Flood Attenuation on Riverine Catchments
Ph.D. received August 2022
Advisor: Eric Tate
Employment: Postdoctoral Researcher; Texas A&M University

Sulyun Lee (IGPI - Information Science)
Understanding and Predicting Team Performance—A Collaboration Perspective
Ph.D. received August 2022
Advisor: Kang Zhao
Employment: Data Scientist; Happiest Baby Inc.

Lakshmi Subramanian
Using a Virtual Environment to Study how Pedestrians and Bicyclists Respond to Warning and Intent Communication for Autonomous Vehicles
Ph.D. received August 2022
Advisor: Joe Kearney
Employment: Assistant Professor; Kean University

Xiangyu Wang (IGPI - Information Science)
From Online Engagement to Offline Health Outcomes—Analyzing User Behaviors in Online Health Communities
Ph.D. received August 2022
Advisor: Kang Zhao
Employment: Lecturer UNSW; Business School

2021 - 2022

Wanxin "Mathew" Wang
A Hybrid Inverse-Kinematics Solution to Generate Avatars in Real-Time for Virtual Reality Applications
Ph.D. received May 2022
Advisor: Joe Kearney
Employment: Senior Software Engineer; Garmin International

Umar Iqbal
Towards a Privacy-Preserving Web
Ph.D. received August 2021
Advisor: Zubair Shafiq
Employment: Postdoctoral Scholar; Paul G. Allen School of Computer Science & Engineering; University of Washington

Kyle Peterson (Health Informatics)
Longitudinal Time-to-Event Graph Mining Pipeline For Musculoskeletal Injury Forecasting
Ph.D. received August 2021
Advisor: Karim Abdel-Malek
Employment: Senior AI Research Scientist; VitaliSee | Malum Terminus Technologies Inc.

Moosa Yahyazadeh
Improving the resiliency of IoT systems
Ph.D. received August 2021
Advisor: Omar Chowdhury
Employment: Formal Verification Engineer; Apple

2020 - 2021

Shehroze Farooqi
A Measurement-Driven Approach towards Understanding and Detecting Abuse of Third-Party Apps
Ph.D. received May 2021
Advisor: Zubair Shafiq
Employment: Staff Security Researcher; Palo Alto Networks

Shreyas Pai
On the role of Congestion in Distributed Complexity
Ph.D. received May 2021
Advisor: Sriram Pemmaraju
Employment: Postdoctoral Scholar; Theoretical Computer Science group; Aalto University, Finland

Kyle Diederich 
Face-to-Face Collaboration Technology for Children
Ph.D. received August 2020
Advisor: Juan Pablo Hourcade
Employment: Assistant Professor of Computer Science; St. Norbert College, Wisconsin

Mingrui Liu 
Nonconvex Min-max Optimization in Deep Learning: Algorithms and Applications
Ph.D. received August 2020
Advisor: Tianbao Yang
Employment: Assistant Professor; George Mason University, Virginia

Tanmay Inamdar 
Covering and Clustering with Outliers and Other Constraints
Ph.D. received August 2020
Advisor: Kasturi Varadarajan
Employment: Researcher; Department of Informatics; University of Bergen, Norway

2019 - 2020

Jeff Hajewski
New Parallel Algorithms for Support Vector Machines and Neural Architecture Search
Ph.D. received May 2020
Advisor: Suely Oliveira
Employment: Senior Software Engineer; Noom Inc.

Ryan Brummet
Time Slotted Channel Hopping Policies for Industrial Wireless Networks
Ph.D. received December 2019
Advisor: Octav Chipara
Employment: Postdoctoral Research Scholar, Computer Science, University of Iowa - Iowa City, Iowa

Huyen Le
Understanding the Roles of Humans, Algorithms, and Cyborgs in Political Polarization
Ph.D. received December 2019
Advisor: Zubair Shafiq
Employment: Postdoctoral Research Scholar; Division of Bioinformatics and Biostatistics; National Center for Toxicological Research, FDA

Thamer Alsulaiman
Speeding up Complex Genetic Mutations Detection in Large Human Genome Data
Ph.D. received August 2019
Advisor: Suely Oliveira
Employment: Visiting Assistant Professor, Computer Science, University of Iowa - Iowa City, Iowa

Ryan McCleeary
Lazy Exact Real Arithmetic Using Floating Point Operations
Ph.D. received August 2019
Advisor: Aaron Stump
Employment: Research Engineer; Galois, Inc. Prior: Research Engineer; Numerica Corporation

Talal Riaz
Symmetry Breaking: Upper and Lower Bounds
Ph.D. received August 2019
Advisor: Sriram Pemmaraju
Employment: Software Engineer, Yelp - San Francisco Bay Area

Yi Xu
Accelerating Convex Optimization in Machine Learning by Leveraging Functional Growth Conditions
Ph.D. received August 2019
Advisor: Tianbao Yang
Employment: Senior Algorithm Engineer, Alibaba Group (U.S.) Inc. - Greater Seattle Area

2018 - 2019

Pooya Rahimian
The Effect of Latency on Steering Behavior in Virtual Reality
Ph.D. received May 2019
Advisor: Joe Kearney
Employment: Software Engineer, Google; Los Angeles, CA Prior: Lead Software Engineer; Virgin Hyperloop

Sayan Bandyapadhyay
Digging Deeper into Clustering and Covering Problems
Ph.D. received May 2019
Advisor: Kasturi Varadarajan
Employment: Assistant Professor, Portland State University Prior: Postdoctoral Research Scholar, University of Bergen - Bergen, Norway

Sikder Huq
Locally Self-Adjusting Distributed Algorithms
Ph.D. received December 2018
Advisor: Sukumar Ghosh
Employment: Software Development Engineer II, Amazon.com, Seattle, Washington. Prior: Lead Software Engineer, Cadence Design Systems, San Jose, CA; Visiting Assistant Professor of Computer Science, Cornell College, Mount Vernon, Iowa.

Michael Lash
Optimizing Outcomes via Inverse Classification
Ph.D. received December 2018
Advisors: Alberto Segre, Nick Street
Employment: Assistant Professor of Business Analytics, University of Kansas - Lawrence, Kansas

Baoluo (Paul) Meng
Satisfiability Modulo Relations: Theory and Applications
Ph.D. received December 2018
Advisor: Cesare Tinelli
Employment: Lead Engineer & Project Leader, High Assurance System; General Electric Global Research Center - Niskayuna, New York

Yuanyuan Jiang
Full-Body Joint Action in Pedestrian Road Crossing Virtual Environment
Ph.D. received August 2018
Advisor: Joe Kearney
Employment: Assistant Professor, California State University - San Marcos, California

Zhe Li
Optimizing Neural Network Structures: Faster Speed, Smaller Size and Less Tuning
Ph.D. received August 2018
Advisor: Tianbao Yang
Employment: Machine Learning/Computer Vision Engineer, Apple, Cupertino, California

Xiaoxuan Zhang
Online Learning for Imbalance Data: Optimizing the Asymmetric Measures
Ph.D. received August 2018
Advisor: Tianbao Yang
Employment: Senior Data Scientist, Ancestry, San Francisco Bay Area

2017 - 2018

Farley Lai
Stream Processing Optimizations for Mobile Sensing Applications
Ph.D. received August 2017
Advisor: Octav Chipara
Employment: Senior Staff Engineer, Qualcomm, San Diego, California Prior: researcher, NEC Labs America, Princeton, New Jersey

2016 - 2017

Santanu Bhowmick
Multi-Covering Problems and Their Variants
Ph.D. received May 2017
Advisor: Kasturi R. Varadarajan
Employment: Senior Software Engineer - Maps, Apple, Cupertino, California

Shabih Hasan
Mobile Ecological Momentary Assessment based Hearing Aid Evaluations
Ph.D. received May 2017
Advisor: Octav Chipara
Employment: Vice President - Data, Head of Data Analytics; Delos Living LLC, Greater New York City Area

Rahil Sharma
Shared and Distributed Memory Parallel Algorithms to Solve Big Data Problems in Biological, Social Networks, and Spatial Domain Applications
Ph.D. received December 2016
Advisor: Suely Oliveira
Employment: Sr. Staff R&D Engineer; Synopsys, Mountain View, California. Prior: Sr. Staff Software Engineer, Xilinx, San Jose, California Principal Software Engineer, Cadence Design Systems, San Jose, California; Sr. R&D Engineer, Synopsys, Mountain View, California

Vivek Sardeshmukh
Efficient Graph Computing on the Congested Clique
Ph.D. received December 2016
Advisor: Sriram Pemmaraju
Employment: Software Engineer; Google. Prior: Principal Software Engineer, Cadence Design Systems, San Jose, California

2015 - 2016

Xin Xiao
Coresets, Complexity of Shapes, and Total Sensitivity
Ph.D. received May 2016
Advisor: Kasturi Varadarajan
Employment: Software Engineer; Google. Prior: Senior Software Engineer, Mathworks, Natick, Massachusetts

Jason Fries
Modeling Words for Online Sexual Behavior Surveillance and Clinical Text Information Extraction
Ph.D. received August 2015
Advisor: Alberto Segre
Employment: Research Scientist (Formerly Postdoctoral Scholar), Stanford, University, Stanford, California

Valerie (Galluzzi) Liptak
Automatic Recognition of Healthcare Worker Hand Hygiene
Ph.D. received August 2015
Advisor: Ted Herman
Employment: Applied Scientist, Amazon, Seattle, Washington. Prior: Assistant Professor, Computer Science and Software Engineering, Rose-Hulman Institute of Technology, Terre Haute, Indiana

Mauricio Monsalvo
Computational Applications to Hospital Epidemiology
Ph.D. received August 2015
Advisor: Sriram Pemmaraju
Employment: Postdoctoral Scholar, Centro Nacional de Investigación para la Gestión Integrada de Desastres Naturales (CIGIDEN), Santiago de Chile

2014 - 2015

Chao Yang
From Surveys to Surveillance Strategies: a Case Study of Life Satisfaction
Ph.D. received May 2015
Advisor: Padmini Srinivasan
Employment: Software Engineering Manager - Machine Learning; Meta Prior: Applied Scientist II, Amazon, Seattle, Washington area

Geoffrey Fairchild
Improving Disease Surveillance: Sentinel Surveillance Network Design and Novel Uses of Wikipedia
Ph.D. received December 2014
Advisor: Alberto Segre
Employment: Group Leader at Los Alamos National Laboratory, Los Alamos, New Mexico [Formerly Scientist]

Tianyi Liang
Automated Reasoning over String Constraints
Ph.D. received December 2014
Advisor: Cesare Tinelli
Employment: Vice President (Formerly Quantitative Software Engineer); Two Sigma, New York City area

Alessio Signorini
Use of Social Media to Monitor and Predict Outbreaks and Public Opinion on Health Topics
Ph.D. received December 2014
Advisor: Alberto Segre
Employment: Co-founder and CTO; Evidation Health, Menlo Park, California

Lucio Tolentino
Effective and Efficient Algorithms for Simulating Sexually Transmitted Diseases
Ph.D. received December 2014
Advisor: Alberto Segre
Employment: Data Science Manager; Goodway Group. Prior: Senior Data Scientist, Dotdash, New York City area; Computer & Data Scientist, Mashable, New York City area