Reactor Engineering; Transport-Kinetic Integration; Advanced Measurement and Computational Techniques

Hybrid energy systems, Fuels combustion and gasification, Industrial gas flare design, operation, and regulation, Process modeling, monitoring, control, and operation

• Physical chemistry
• Theoretical spectroscopy
• Molecular dynamics

• Assisting interested parties with ab initio computations
• Polar materials for nonlinear optics
• CO2 Sequestration from air
• Mechanism of rubisco
• Kinetics of oscillating reactions

• Physical chemistry
• Materials chemistry
• Actinide chemistry
• Advanced and innovative microwave spectroscopy techniques

1. The study of the electronic, magnetic, and Mössbauer spectral properties of magnetically coupled transition metal complexes at ambient and high pressure.
2. Mössbauer spectroscopy of iron, tin, antimony, and europium organometallic compounds.
3. Mössbauer-effect and x-ray absorption spectroscopic and neutron and x-ray diffraction studies of transition metal complexes, hard permanent magnetic materials, nano-structured materials, and thermoelectric materials.

• Materials for extreme environments
• Energy
• Biomedicine

• Non-covalent interactions (London dispersion forces, halogen bonding, etc.)
• Inter- and intramolecular hydrogen bonding
• Molecular clusters
• Solvation
• Hydration
• Molecular recognition
• Computational spectroscopy (vibrational, rotational, NMR, etc.)

• Computational wind engineering (CFD simulations of different wind fields, such as tornadoes and hurricanes)
• Improvement of tornado risk awareness through virtual reality animation, social science and behavior finance
• Wind hazard mitigation to achieve resilient communities and cities by improving design codes and reinforcing strategies
• Structural health monitoring and condition assessment (Linear/Nonlinear system identification and damage detection under multi-hazard environments)

• Future cements (cement efficiency enhancing strategies, novel supplementary cementitious materials, and alternative cements)
• Solid waste upcycling
• Massive CO2 capture, utilization, and mineralization
• Thermal energy storage and micro-grid integration
• Materials characterization
• Multi-scale modeling
• Concrete durability
• NDT and sensing
• Nano- and biological technologies in construction
• Carbon-negative recovery of critical minerals (e.g., Ni, Co, Li, and Cu)

• ML in underground mines
• Mobile data management
• Cloud computing
• Cyber security
• Wireless computing
• Data analytics

• Earthquake source processes
• Geodesy
• Potential field method
• Inversion methods
• Near-surface geophysics
• GNSS 
• Seismology
• InSAR

• Digital and energy economics
• Fintech
• Applied microeconometrics
• Computational economics using AI and big-data

• All areas of AI
• Clustering or unsupervised learning
• Adaptive dynamic programming (ADP) or reinforcement learning
• Neural networks hardware and applications

Keeping the cluster alive for everyone to use!

Dr. Arezoo Emdadi is an Assistant Professor in the MSE Department at Missouri S&T. Her research focuses on analytical (mathematical) and numerical modeling of material microstructure, processing, and properties at multi-time and length scales. Dr. Emdadi has been leading different research projects supported by AFRL and AFOSR on advanced material modeling. She and her research group at Missouri S&T are spearheading the computational effort, performing advanced modeling for various funded projects such as Thermal Protection for Hypersonic Vehicles (GE/AFRL), Joining of Ceramic Composites for Nuclear Applications (UES/DOD), Electrified Processes for Industry without Carbon (EPIXC) (DOE), and U-Mo Monolithic Fuel Interfacial Bond Strengths (INL/DOE).

• Computational Materials
• Additive Manufacturing
• Thermodynamics and Kinetics of Materials
• Process-Structure-Property-Performance Relationship
• Rapid Solidification of Alloys
• Ferroelectrics

Numerical analysis and mathematical foundation of machine learning and its applications to numerical partial differential equations (PDEs), data fitting, and image classification.

Fluid dynamics, heat transfer, and thermodynamics of energy systems. Heat and mass transfer in buoyant flows, second-law and exergy analysis, numerical simulation of transport phenomena and experimental methods.

• Composite materials
• Smart structures
• Nanocomposites
• Biocomposites
• Structural dynamics
• Finite element analysis
• Damage monitoring
• Composite manufacturing and experimental characterization

Machine learning and AI-driven design optimization, with application emphases on aerospace engineering and other engineering areas

• Nuclear Thermal-Hydraulics
• Bubble Hydrodynamics
• Interfacial Forces
• Multiphase Flow Modeling
• Experiments in Multiphase Dynamics