Intelligent Thermal & Energy Systems Laboratory

Aung Myat, Ph.D., CEng, SCEM

Assistant Professor
Ingram School of Engineering
Texas State University, San Marcos, Texas

Building Intelligent Thermal-Fluid Systems for Advanced Energy, Thermal Management, and Digital Twins

Physics-based, data-enabled research integrating thermal-fluid transport, multiphysics computation, artificial intelligence, and digital twins for advanced energy and thermal-management systems.

Professional headshot of Aung Myat
About

Advancing intelligent thermal-fluid and energy systems through physics, computation, and data.

Dr. Aung Myat is an Assistant Professor in the Ingram School of Engineering at Texas State University. His research focuses on thermal-fluid transport, heat and mass transfer, advanced energy systems, thermal management, and energy storage.

His work integrates first-principles modeling, computational multiphysics, and AI-enabled digital twins to improve the efficiency, reliability, safety, and resilience of modern energy systems.

Physics-based. Data-enabled. Application-driven.

Research Thrusts

Three connected thrusts. One integrated research program.

Built on a shared foundation of transport physics, multiphysics computation, and application-driven engineering.

Thrust 01

Thermal Management

Advancing thermal control for batteries, electronics, and high-heat-flux systems through high-fidelity transport modeling and thermal buffering.

  • Battery thermal management
  • Electronics & high-heat-flux cooling
  • Thermal buffering
  • High-fidelity transport modeling
Thrust 02

Hybrid Energy Systems

Integrating thermal storage, HVAC, and energy systems to improve flexibility, efficiency, resilience, and low-carbon operation.

  • Thermal energy storage
  • Nano-enhanced PCM
  • HVAC & district energy
  • Integrated thermal-energy systems
Thrust 03

AI-Enabled Modeling & Digital Twins

Connecting physics, data, prediction, and optimization to enable intelligent operation of complex thermal-energy systems.

  • Predictive modeling
  • State estimation
  • AI-enabled optimization & control
  • Digital twins for energy infrastructure
Shared FoundationTransport Physics•Multiphysics Computation•Application-Driven Engineering
Featured Research Projects

From predictive building operation to advanced thermal management.

ITES Lab develops physics-based and data-enabled solutions for complex energy systems.

Illustration of AI-enabled building HVAC and district energy optimization
AI-Enabled Modeling & Digital Twins

AI-Enabled HVAC & District Energy Optimization

Developing predictive thermal-energy control frameworks that integrate operational data, weather, occupancy, load prediction, state estimation, optimization, and intelligent control.

Micro-zonal controlCooling-load predictionPlant optimization
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Illustration of packed-bed thermal energy storage with nano-enhanced phase change materials
Hybrid Energy Systems

Hybrid Thermal Energy Storage with Nano-Enhanced PCM

Advancing packed-bed thermal energy storage using nano-enhanced phase-change materials to improve thermal transport, charging/discharging response, and system performance.

Nano-PCMPacked-bed TESMultiphysics modeling
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Illustration of battery thermal management with high-fidelity computational modeling
Thermal Management

Battery Thermal Management with High-Fidelity FVDBM

Developing high-fidelity models to resolve thermal gradients, hotspot behavior, transient heat transfer, and thermal buffering in battery systems.

Hotspot predictionPCM thermal bufferingFVDBM
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Research Impact

Research that connects scientific rigor with engineering impact.

$4.7M+External Research Funding
40Total Publications
40+Students Mentored
Patent +Deployment & Translation
Research funding infographic highlighting more than 4.7 million dollars in external research funding
People

A growing research group built around mentorship and collaboration.

Current ITES Lab members are organized by role, with dedicated sections for graduate researchers, undergraduate researchers, and alumni as the group grows.

Principal Investigator
Aung Myat
Principal Investigator

Aung Myat, Ph.D., CEng, SCEM

Assistant Professor, Ingram School of Engineering, Texas State University.

Graduate Researchers
Maher Prova
Ph.D. Student · Graduate Research Assistant

Maher Prova

Computational thermal-fluid modeling, battery thermal management, and phase change materials.

Latest News

Research highlights, lab milestones, and recent updates.

Follow new research directions, publications, people, and activities from ITES Lab.

Join ITES Lab

Work with us on the next generation of intelligent thermal and energy systems.

ITES Lab welcomes inquiries from prospective Ph.D., M.S., and undergraduate researchers interested in thermal-fluid science, energy systems, computational engineering, and AI-enabled modeling.

Ph.D.M.S.UndergraduateCollaborators

When contacting the lab, briefly describe your academic background, research interests, relevant technical experience, and the ITES Lab research area that most interests you.

Research InquirySpecific funded positions will be posted when available.
Get in Touch

Research · Collaboration · Student Opportunities

Interested in collaborating with ITES Lab, discussing research opportunities, or learning more about our work in intelligent thermal and energy systems? Please get in touch.

Aung Myat, Ph.D., CEng, SCEMAssistant ProfessorIngram School of EngineeringTexas State University, San Marcos, Texas
Office: INGR 4308, Bruce and Gloria Ingram HallEmail: a_myat@txstate.edu