Meet the Team – Affiliated Faculty

Across multiple disciplines, Texas Tech’s affiliated faculty advance innovation and research in materials, manufacturing, and sustainment capabilities. IMMS research model aims to:

Enable shared research activities to vast cross-cutting internal/external research resources and stakeholders.
Foster "High Risk/Pay-off" and "BIG IDEA" research with dual-use (civil & military) impacts.
Provide extremely attractive research initiatives to produce well-planned research & thesis with high value for potential integration & commercialization.

Dy D. Le

IMMS Director

Summary of Expertise: Structures, Health and Usage Monitoring System (HUMS) and condition-based monitoring, intelligent sensing, fatigue and damage tolerance, fracture mechanics, materials state awareness, artificial intelligence and machine learning, and data analytics

Email Bio

Dimitri Volchenkov, Ph.D.

Professor, Dept. of Mathematics & Statistics

IMMS Research: Data fusion, artificial intelligence (AI), UAS swamps

Email Bio

Dongping Du, Ph.D.

Associate Professor, Dept. of Industrial Manufacturing & Systems Engineering

IMMS Research: Reliability, artificial intelligence, Virtual Risk-informed Agile Maneuver Sustainment- Fabrics of AI Technology for Healing research & development

Email Bio

Tommy Dang, Ph.D.

Associate Professor, Dept. of Computer Science

IMMS Research: Logistics system data visualization and remaining useful life tracking

Email Bio

Victor Maldonado, Ph.D.

Associate Professor, Dept. of Mechanical and Aerospace Engineering

IMMS Research: Reconfigurable UAS – Virtual Risk-informed Agile Maneuver Sustainment- Fabrics of AI Technology for Healing concept/technology Demonstration

Email Bio

Beibei (Helen) Ren, Ph.D.

Professor, Dept. of Mechanical and Aerospace Engineering

Research Areas: Control theory, optimization, and their applications to mechatronics, robotics, renewable energy, microgrids, UAVs, and smart grids.

Email Bio