Data Science for Intelligent Systems Laboratory

We develop next-generation data science and artificial intelligence methods for modeling, understanding, and optimizing complex systems across healthcare, manufacturing, transportation, and smart infrastructure.

DSIS Laboratory research vision illustration

Research Vision

The DSIS Laboratory bridges methodological innovation with real-world decision making by developing scalable, interpretable, and trustworthy AI algorithms that transform high-dimensional and multimodal data into actionable insights.

Welcome to the DSIS Laboratory

The Data Science for Intelligent Systems Laboratory is led by Dr. Meng Zhao in the Department of Industrial & Systems Engineering at Lehigh University.

Our research lies at the intersection of Industrial & Systems Engineering, Machine Learning, Operations Research, and AI. We design methods that support intelligent system modeling, prediction, optimization, and decision support.

Core Research Themes

We develop AI and data science methods that turn heterogeneous, high-dimensional, and multimodal data into knowledge for complex engineering and societal systems.

01

AI for Complex Systems

Machine learning and data science methods for modeling, prediction, optimization, and decision support in complex systems.

02

High-Dimensional Data Analytics

Scalable statistical learning for tensors, graphs, structured data, and multimodal datasets.

03

Tensor & Multimodal Learning

Tensor decomposition and tensor learning algorithms that preserve higher-order structure for downstream machine learning.

04

AI for Healthcare

Trustworthy AI for computational phenotyping, disease subtyping, clinical risk prediction, precision medicine, and treatment recommendation.

05

Smart Operations & Infrastructure

AI-enabled learning and optimization for manufacturing, scheduling, predictive maintenance, transportation, and urban systems.

06

Responsible & Trustworthy AI

Explainable AI, robustness, uncertainty quantification, privacy-preserving learning, federated learning, and human-centered AI.

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Group members and collaborators

The DSIS Laboratory brings together researchers interested in AI, machine learning, data science, optimization, tensor learning, healthcare analytics, and intelligent systems.

We actively collaborate across Industrial & Systems Engineering, Computer Science, Biomedical Informatics, Statistics, Medicine, and Public Health.

View all people โ†’
Meng Zhao

Meng Zhao, Ph.D.

Principal Investigator

Jiawei Guo

Jiawei Guo

Postdoctoral Researcher

Selected Publications

2024

FedPAR: Federated PARAFAC2 Tensor Factorization for Computational Phenotyping

IISE Transactions on Healthcare Systems Engineering, 2024.

2023

Robust Coupled Tensor Decomposition and Feature Extraction for Multimodal Medical Data

IISE Transactions on Healthcare Systems Engineering, 2023.

Selected

Identification of Transcriptomic Sepsis Endotypes in Sub-Saharan Africa

Collaborative work integrating AI and genomics for precision medicine.

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Latest News

June 2026

๐ŸŽ‰ Dr. Zhao elected IISE DAIS Division Director

Dr. Meng Zhao was elected Director of the Data Analytics and Information Systems Division of IISE for the 2026โ€“2028 term.

March 2026

๐ŸŽ“ AI Course Transformation Grant

Dr. Zhao received Lehigh University's AI Course Transformation Grant to develop innovative AI education and curriculum initiatives.

February 2026

๐Ÿ’ฐ PITA Research Grant

Dr. Zhao received a Pennsylvania Infrastructure Technology Alliance grant for a Jefferson Health collaboration using large language models to predict hospital readmissions from free-text clinical notes.

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