Ender Eğer

• Ph.D. Candidate

• Education: MSc, Sabanci University, Turkey

• Research Topics:  Computational modeling of magnetic phase transition, machine learning

Mohamed Elleithy

• Ph.D. Candidate

• Education: BSc, Virginia Tech

• Research Topis:  Process-microstructure modeling, data-driven design

Saltuk Yıldız

• Ph.D. Candidate

• Education: MSc, Sabanci University, Turkey

• Research Topics:  Multi-scale modeling  of spinodal metamaterials, data-driven design

Maruf Billah

• Ph.D. Student

• Education: MSc, Chittagong University of Engineering and Technology (CUET), Bangladesh

• Research Topics:  Multi-scale modeling, computational design, inverse design of materials

Waris Khan

• Ph.D. Student

• Education: BSc, Indian Institute of Space Science and Technology

• Research Topics:  Materials informatics, data-driven design

Shuainan (Alex) Yang 

• Ph.D. Student (Co-Advising, Advisor: Prof. John Ferris)

• Research Topics:  Vehicle trajectory planning, multidisciplinary design optimization, deep reinforcement learning

Kuang Kuang

• MSc Student

• Education: BSc, Virginia Tech

• Research Topics:  Machine learning, generative model development

Henry Zhao

• MSc Student

• Education: BSc, Virginia Tech

• Research Topis:  Microstructure modeling, process design, data-driven modeling

Dr. Sheng Liu

• Ph.D., Graduated in May 2024

• Research Topics:  Cellular metamaterials, inverse design, optimization, machine learning

• PhD Dissertation: Optimization and Supervised Machine Learning Methods for Inverse Design of Cellular Mechanical Metamaterials

Dr. Mahmudul Hasan 

• Ph.D., Graduated in May 2023

• Research Topics: Multi-scale materials design, design under uncertainty, machine learning

• PhD Dissertation: Computational and Machine Learning-Reinforced Modeling and Design of Materials under Uncertainty

• Current Position: Postdoctoral Research Fellow at the University of Pittsburgh

Dr. Arulmurugan Senthilnathan  

• Ph.D., Graduated in May 2023

• Research Topics: Physics-based materials modeling, crystal plasticity simulations, uncertainty quantification 

• PhD Dissertation: Exploring the Stochastic Performance of Metallic Microstructures with Multi-Scale Models

• Current Position: Postdoctoral Research Fellow at Vanderbilt University

Matthew Long

• MSc, Graduated in May 2024

• Research Topics:  Microstructure reconstruction, quantification of composite materials

• Example Publication

• MSc Thesis: Computational Reconstruction and Quantification of Aerospace Materials 

Kiara McMillan 

• MSc, Graduated in May 2022

• Research Topics:  Mechanical metamaterials, inverse design, uncertainty quantification

• Example Publication (Best paper award at AIAA SciTech 2022)

• MSc Thesis: Computational Design of 2D-Mechanical Metamaterials 

• Current Position: Product Development Associate at Vorbeck Materials Corporation, Jessup, MD

Rick Catania 

• MSc, Graduated in May 2022 

• Research Topics:  Microstructure modeling, uncertainty quantification, machine learning

• Example Publication

• MSc Thesis: New Computational Methodologies for Microstructure Quantification 

• Current Position: Private Business Owner, TX