Faculty & Staff Directory

Associate Professor, 

Applied operations research, healthcare, supply chain, large scale optimization, and big data analytics

Assistant Professor, 

Geographic resource allocation, logistics, scheduling, multimodal transport systems, shared mobility, decentralized systems and resilient networks, data visualization, computational social science; Data-driven robust optimization, computational geometry, geometric probability theory, and geospatial analysis.

Professor, 

Healthcare systems engineering, operations research, quality and reliability engineering, statistical quality control, high reliability design, patient safety

Assistant Professor, 

Mathematical Optimization, Data Mining, Machine Learning, Healthcare Analytics, Computational Neuroscience, Decision Support Systems

Associate Teaching Professor, 

Reinforcement Learning, Simulation Optimization; Healthcare Operations

Associate Professor, 

Systems reliability, accelerated life testing in reliability prediction; big data-data driven decision making in spatiotemporal streaming environment; life data (survival data) analysis; robust design of experiments

Associate Professor, 

Health care resource allocation with multi-objective resource allocation models; modeling resiliency in complex systems; design and management of outpatient health care clinics; simulation: discrete event simulation and systems dynamics; deterministic and stochastic optimization

Associate Professor, 

Socio-technical systems, systems engineering and design, social and economic networks, resilience of networked systems, computational social sciences, platform-based systems, sharing economy systems, computational social sciences, game theory, artificial intelligence

Teaching Professor, 

data mining, data management, mathematical methods, machine learning, data analytics, emotion detection, remote sensing, atmospheric compensation, data analytics engineering student organization (DAESO)

Associate Dean for Graduate Education, 

Sensing, diagnostics and prognostics for manufacturing machines and equipment, AI for smart and sustainable manufacturing and manufacturing systems integration, Machine learning models for personalized medicine and healthcare, Computational methods for pain assessment physiological sensing systems, Engineering education, personalized learning, and mass-customized instruction model

COE Distinguished Professor, 

Current Research: Experiential Engineering Education via Innovation and Invention. Focus on the Technical Design, Energy System, and Medical Engineering (MedEng) Design Innovations via Prototyping and Proof of Concept. Past Research: High-Temperature Superconductors, Two-Dimensional Electron Gas, and Engineering Physics Education.

Professor Emeritus, 

Deterministic operations research and multi-criteria optimization; facility location; supply chain, transportation and logistics; wireless sensor networks wildfire prediction and mitigation

Assistant Professor, 

Human-Machine Teaming, Extended Reality, Artificial Intelligence, Machine Learning

Associate Teaching Professor, 

Assistant Teaching Professor, 

Associate Research Professor, 

optimization of structures and components for a circular economy and climate resilience with a focus on composite materials, advanced manufacturing, uncertainty analysis, and applied AI; applications include the wind industry, energy-efficient construction, managing extreme weather events, orthopedic implants.

Associate Teaching Professor, 

Assistant Teaching Professor, 

Assistant Professor, 

Machine learning, optimization and control, distributed and sequential learning, with a focus on developing computationally efficient methods for data analytics

Associate Teaching Professor, 

Internet of Things (IoT) and intelligent factory transformation; Price recommendation and optimization using machine learning models; Image search engines and semantic segmentation; Applications of artificial intelligence in business; and Biomedical signal processing for healthcare applications

Assistant Professor, 

Federated data analytics, Bayesian optimization, continuous optimization, Gaussian processes, deep learning

Postdoctoral Research Fellow, 

Data Science; Computational Materials Science; Additive Manufacturing; Corrosion and Protection