Associate Professor
Department of Materials Science and Engineering
Department of Physics and Astronomy
Department of Electrical and Computer Engineering
Texas A&M University
Education and Professional Experience
2008 Ph.D., Nuclear Science and Engineering, MIT
2008 - 2011 Postdoc., Materials Science and Engineering, MIT
2011 - 2014 Postdoc., Nuclear Science and Engineering, MIT
Honors and Awards
2024 Dean of Engineering Excellence Award, Texas A&M University
2021 AZZ Inc. Faculty Fellow
2021 Texas A&M TEES Young Faculty Fellow
2020 Materials Today Rising Star in Quantum Materials
2018 NSF CAREER Award
Contact
Email: feng@tamu.edu
Phone: +1-979-458-9843
Fax: +1-979-862-6835
Mailing: 3003 TAMU, College Station, TX 77843-3003
Office: RDMC 224
Research Interest
electronic structure theory
linear and nonlinear optical responses
Honors and Awards
2022 Outstanding Engineering M.S. Graduate Student, Texas A&M University
2024 Invited to attend the 73rd Lindau Nobel Laureate Meetings
Contact
Email: alexstrasser16410@tamu.edu
Research Interest
first-principles theory of neuromorphic materials
machine learning
Honors and Awards
2023 AZZ Inc. Graduate Fellowship, Texas A&M University
2025 MSEN Excellence in Outreach Award, Texas A&M University
Contact
Email: kashen13@tamu.edu
Research Interest
first-principles theory
materials learning
Honors and Awards
2024 College of Engineering Horizons Fellowship, Texas A&M University
Contact
Email: saagark2@tamu.edu
Research Interest
computational materials science
materials theory
Contact
Email: ashlyn_burkhardt@tamu.edu
Research Interest
AI/machine learning for materials science
computational materials science
Contact
Email: bgkrieger@tamu.edu
Affiliation: Assistant Professor, Zhejiang University
PhD Thesis: First-Principles Theory, Discovery, and Design of Nonlinear Optical Materials, 2020
Awards:
2020 Association of Former Students Distinguished Graduate Student Award, Texas A&M University
2020 MSEN Best PhD Thesis Award, Texas A&M University
Affiliation: Senior Application Engineer, Synopsys, Inc.
PhD Thesis: First-Principles Study of Electronic Structure and Defect Physics in Photovoltaic
and Neuromorphic Materials, 2021
Awards: 2021 MSEN Best PhD Thesis Award, Texas A&M University
Affiliation: Scientific Software Developer, Enthought, Inc.
PhD Thesis: Data Driven Interatomic Potential Development, 2022
Affiliation: Scientific Software Developer, Enthought, Inc.
PhD Thesis: Discovery and Design of functional Materials Using First-Principles and
Machine Learning Approaches, 2023
Affiliation: PhD student, Mechanical Engineering, Texas A&M University
M.S. Thesis: First-Principles Study of One-Dimensional Antimony Selenide Nanoribbon, 2022
Affiliation: M.S. student, Computer Engineering, Texas A&M University
M.S. Research: First-Principles Study of Nonlinear Light-Matter Interaction, 2022
Affiliation: UG student, Physics & Astronomy, Texas A&M University
UG Research: Quantum Transport in 2D Materials, Spring 2023
Affiliation: UG student, Physics & Astronomy, Texas A&M University
UG Research: Theoretical Investigation of Strain and Defects in 2D Materials, Spring 2023
Affiliation: PhD student, Pennsylvania State University
UG Research: Low-Dimensional Piezoelectric Materials, 2019-2020
Affiliation: PhD student, University of Texas at Austin
UG Research: Database Implementation and Machine Learning Applications for Materials Science, 2019-2020
Affiliation: UG student, Loyola University New Orleans
Program: Online REU (O-REU) student, Summer 2020
UG Research: Density Functional Theory Study of Nanomaterials
Affiliation: PhD student, University of Copenhagen, Denmark
Program: NSF REU student, Summer 2019
REU Research: Modeling 2D Multiferroic GeSe using Machine Learning
Affiliation: PhD student, University of California, Los Angeles
Program: Halliburton Engineering Global Program Intern, Summer 2018
UG Research: Electronic Transport in 2D Materials under Electromagnetic Fields
Affiliation: PhD student, University of California, Berkeley
Program: Halliburton Engineering Global Program Intern, Summer 2017
UG Research: Data-Driven Materials Discovery and Property Prediction