The core faculty members of the School of Data Science span disciplines from science, technology, engineering, math, business, education, public health, social sciences, and humanities.

Core Faculty

Ethan C. Ahn, Ph.D.

Ethan C. Ahn, Ph.D.

Associate Professor of Electrical Engineering

  • Areas of Teaching: Nanoelectronics, Microfabrication, Spintronics, Electric Circuits
  • Areas of Research: Memory and Storage Devices, Computing Hardware
  • Group Website
  • YouTube
  • Google Scholar

Adel Alaeddini, Ph.D.

Adel Alaeddini, Ph.D.

Associate Professor of Mechanical Engineering

  • Areas of Teaching: Machine Learning and Data Analytics, Deep Learning, Operations Research
  • Areas of Research: Statistical Learning in Systems Modeling and Control, Data Analytics in Healthcare and Manufacturing
  • Research Lab Website
  • ME Department
  • LinkedIn

Victor De Oliveira, Ph.D.

Victor De Oliveira, Ph.D.

Professor of Management Science and Statistics

  • Areas of Teaching: Probability and Statistics
  • Areas of Research: Bayesian Methods, Density Ratio Models, Environmental Statistics, Geostatistics, Markov Random Fields

Kevin Desai, Ph.D.

Kevin Desai, Ph.D.

Assistant Professor of Computer Science

Yuanxiong (Richard) Guo, Ph.D.

Yuanxiong (Richard) Guo, Ph.D.

Associate Professor of Information Systems and Cyber Security

Mitra Bokaei Hosseini, Ph.D.

Mitra Bokaei Hosseini, Ph.D.

Assistant Professor of Computer Science

  • Areas of Teaching: Application Programming, Software Engineering, Privacy Policy, Law, and Technology
  • Areas of Research: Software Engineering, Privacy, Legal Compliance, Natural Language Processing
  • Google Scholar

Murtuza Jadliwala, Ph.D.

Murtuza Jadliwala, Ph.D.

Associate Professor of Computer Science

  • Areas of Teaching: Information Security and Privacy
  • Areas of Research: All Cyber, Cyber-Physical Systems Security and User-Privacy, Mobile and IoT Security, Distributed Systems Security, Privacy Enhancing Technologies, Incentive-based Mechanism Design for Security, Adversarial Machine Learning and Design of Mobile/Ubiquitous Sensing Algorithms, Systems, and Applications
  • Professional Website
  • Twitter
  • Research Lab website

Max Kilger, Ph.D.

Max Kilger, Ph.D.

Associate Professor of Practice

  • Areas of Teaching: Data Analytics, Challenges in the Intelligence Community
  • Areas of Research: National Security Issues in the Cyber Domain, Counterterrorism, Hybrid Warfare
  • LinkedIn

Isil Koyuncu, Ph.D.

Isil Koyuncu, Ph.D.

Assistant Professor in Management Science and Statistics

  • Areas of Teaching: Management Science and Operations Technology, Data Analytics Tools and Techniques
  • Areas of Research: Sustainable Operations in Transportation, Electric Vehicle Routing, Discrete Optimization, Mathematical Programming
  • LinkedIn
  • Professional Website

Dhireesha Kudithipudi, Ph.D.

Dhireesha Kudithipudi, Ph.D.

Professor, Robert F. McDermott Endowed Chair

  • Areas of Teaching: Brain-Inspired AI, Energy Efficient Machine Intelligence, Computer Architecture
  • Areas of Research: Neuromorphic AI Systems and Architectures, AI Algorithms (e.g., brain-inspired), Emerging Computing Substrates, Energy Efficient Machine Learning, Lifelong Learning, Spiking and Rate Based Models
  • Google Scholar
  • Group Website

Panagiotis (Panos) Markopoulos, Ph.D.

Panagiotis (Panos) Markopoulos, Ph.D.

Associate Professor of Electrical & Computer Engineering and Computer Science, Margie and Bill Klesse Endowed Professor

  • Areas of Teaching: Machine Learning, Stochastic Processes, Signal Processing
  • Areas of Research: Machine Learning, Data Analysis, Statistics, Optimization, Signal Processing
  • Professional Website
  • Google Scholar
  • LinkedIn

Jianwei Niu, Ph.D.

Jianwei Niu, Ph.D.

Professor of Computer Science and Associate Dean of University College

  • Areas of Teaching: Data Science, Software Engineering, Formal Methods, and Privacy Engineering
  • Areas of Research: Cyber Security, Privacy Compliance, Formal Methods, and Software Engineering

Yeonjoo Park, Ph.D.

Yeonjoo Park, Ph.D.

Assistant Professor in Management Science and Statistics

  • Areas of Teaching: Data Analytics, Nonparametric Statistics, Categorical Data Analysis
  • Areas of Research: Functional Data Analysis, Robust Statistics, Statistical Inferential Problem, and Dimension Reduction Techniques

Jeff Prevost, Ph.D.

Jeff Prevost, Ph.D.

Cloud Technology Endowed Professorship

  • Areas of Teaching: Intro to Cloud Computing, Programming Techniques for Cloud Computing, Analysis and Design of Control Systems
  • Areas of Research: Cloud Computing, Virtual Resource Placement Optimization, Auto-deploy and Configure Domain Specific Cloud Resources, Quantum Computation, Quantum Key Security
  • Research Institute

John Quarles, Ph.D.

John Quarles, Ph.D.

Professor

  • Areas of Teaching: Human-Computer Interaction; Virtual, Augmented, and Mixed Realities
  • Areas of Research: Human-Computer Interaction; Virtual, Augmented, and Mixed Realities
  • Professional Website

Paul Rad, Ph.D.

Paul Rad, Ph.D.

Associate Professor of Information Systems and Cyber Security

  • Areas of Teaching: Data Analytics, Artificial Intelligence
  • Areas of Research: Decision Making and Autonomy, Machine Learning Algorithm, Distributed Real-Time Computing
  • Research Institute

Anthony Rios, Ph.D.

Anthony Rios, Ph.D.

Assistant Professor of Information Systems and Cyber Security

  • Areas of Teaching:  Data Analytics, Natural Language Processing, Information Systems, Cyber Security
  • Areas of Research: Biomedical Informatics, Computational Social Science, Natural Language Processing, Machine Learning
  • Professional Website
  • Twitter
  • LinkedIn
  • Github

Arkajyoti Roy, Ph.D.

Arkajyoti Roy, Ph.D.

Assistant Professor in Management Science and Statistics

  • Areas of Teaching: MS in Data Analytics, BBA in Business Analytics
  • Areas of Research: Robust Optimization, Data Analytics, Healthcare, Sustainable Services
  • Professional Website
  • Twitter

Jianhua Ruan, Ph.D.

Jianhua Ruan, Ph.D.

Professor

  • Areas of Teaching: Bioinformatics, Data Science, Algorithms
  • Areas of Research: Bioinformatics, Computational Biology, Data Mining

Rebecca Schroeder, Ph.D.

Rebecca Schroeder, Ph.D.

Associate Professor of Instruction and Assistant Dean of University College

  • Areas of Teaching: Academic Inquiry and Scholarship (AIS), Life and Health Science, Multidisciplinary Studies
  • Areas of Research: Student Success, ML/AI/DS Student Applications
  • LinkedIn

Rocky Slavin, Ph.D.

Rocky Slavin, Ph.D.

Associate Professor

  • Areas of Teaching: Web Technologies, Systems Programming, Software Engineering, Security
  • Areas of Research: Mobile and IoT Privacy, Software and Requirements Engineering

Claire Walton, Ph.D.

Claire Walton, Ph.D.

Assistant Professor

  • Areas of Teaching: Machine Learning, Nonlinear Control Systems, Mathematical Modeling, Numerical Linear Algebra
  • Areas of Research: Numerical Analysis and Scientific Computing, Probability, Optimization, Computing and Geometry, Systems and Control

Min Wang, Ph.D.

Min Wang, Ph.D.

Associate Professor of Management Science and Statistics

  • Areas of Teaching: Bayesian Statistics, Predictive Modeling, Statistical Learning, Advanced Inference
  • Areas of Research: Bayesian Statistics, High-Dimensional Inference, Statistical Consulting, Statistical Machine Learning
  • Google Scholar

Wenbo Wu, Ph.D.

Wenbo Wu, Ph.D.

Associate Professor

  • Areas of Teaching: Statistics, Data Analytics
  • Areas of Research: Sufficient Dimension Reduction, High-dimensional Modeling, Feature Selection, Causal Inference, Machine Learning
  • Google Scholar

Keying Ye, Ph.D.

Keying Ye, Ph.D.

Professor of Management Science and Statistics

  • Areas of Teaching: Statistics
  • Areas of Research: Bayesian Inference and Methods, Mathematical Statistics, Statistical Applications in Biostatistics, Cyber Security, Environmental, Ecological and Geological Sciences, Experimental Design and Industrial Statistics

Yuexia Zhang, Ph.D.

Yuexia Zhang, Ph.D.

Assistant Professor of Management Science and Statistics

  • Areas of Teaching:  Statistics, Introduction to Statistical Inference, Applied Statistics, and Multivariate Analysis 
  • Areas of Research: Causal Inference, Microbiome Data Analysis, Missing Data, Robust Estimation, Post-Selection Inference, Longitudinal Data Analysis, and Measurement Error
  • Google Scholar
  • ResearchGate

32

Core Faculty

5

Undergraduate Degree Programs

5

Graduate Degree Programs

7

Certificate Programs

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