Jamal Husseini

Jamal Husseini

Ph.D. Fellow

College
Francis College of Engineering
Department
Mechanical Engineering, ACMTRL
Office
Falmouth Hall, Room 306
Email
jamal_husseini@uml.edu

Expertise

Multiscale Modeling, Composite Materials, Micromechanics, Stochastic/Statistical Processes

Research Interests

Multiscale Modeling, Composite Materials, Micromechanics, Stochastic/Statistical Processes

Education

M.S.E.: Mechanical Engineering (2021) UMass Lowell, Lowell, MA
Dissertation/Thesis Title: Functionally Graded Adhesives for Composite Joints
B.S.E.: Mechanical Engineering (2020) UMass Lowell, Lowell, MA

Selected Awards and Honors

  • American Society of Composites (ASC) Solvay Best Student Paper Award (2022)
  • NASA Space Technology Graduate Research Opportunity (NSTGRO) Fellowship (2021)
  • Dean's Medal for Student Service (2020)
  • Mechanical Engineer Department Outstanding Service Award (2020)

Selected Publications

  • J. F. Husseini, E. J. Pineda, and S. E. Stapleton, “Generation of artificial 2-D fiber reinforced composite microstructures with statistically equivalent features,” Composites Part A: Applied Science and Manufacturing, vol. 164, p. 107260, Jan. 2023, doi: 10.1016/j.compositesa.2022.107260. 
  • E. J. Pineda, J.F. Husseini, et al., “Multiscale Modeling of Thermoplastics Using Atomistic-informed Micromechanics,” in AIAA SCITECH 2023 Forum, 2023, p. 0140. 
  • J. F. Husseini, F. Pourkamali-Anaraki, P. Hajibabaee, and S. E. Stapleton, “Generation of 2-D Fiber Reinforced Composite Microstructures with Statistically Equivalent Features Using Machine Learning and Adaptive Data Generation,” in AIAA SCITECH 2023 Forum, 2023, p. 1267. 
  • J. F. Husseini, S. E. Stapleton, and E. J. Pineda, “Impact of Nonuniform Fiber Arrangements on Simulated Composite Transverse-Tensile Strength,” PROCEEDINGS OF THE AMERICAN SOCIETY FOR COMPOSITES-THIRTY-SEVENTH TECHNICAL CONFERENCE, no. 0, Art. no. 0, 2022, doi: 10.12783/asc37/36431. 
  • J.F. Husseini, S. E. Stapleton, and E. J. Pineda, “Artificial Generation of 2-D Fiber Reinforced Composite Microstructures with Statistically Equivalent Features”, 36th ASC Technical Conference, September 2021. 
  • J.F. Husseini, "Functionally Graded Adhesives for Composite Joints." Order No. 28715185 University of Massachusetts Lowell, 2021. Ann Arbor: ProQuest. August 2021. 
  • J.F. Husseini, S. E. Stapleton, M. Schey, T. Beke, and E. J. Pineda; “Statistical Descriptors of Composite Fiber Aggregation,” 35th ASC Technical Conference, Jersey City, NJ, September 2020. 
  • S. B. Hurvitz, S. E. Stapleton, J.F. Husseini, “A Radiation Sensitive Adhesive System for Functionally Graded Composite Joints”, 36th ASC Technical Conference, September 2021. 
  • J.F. Husseini, S. E. Stapleton, E. J. Pineda; “An Algorithm for characterization of fiber aggregation in composite microstructures,’ NASA/TM-20205006994, December 2020.

Selected Presentations

  • Multiscale Modeling of Thermoplastics Using Atomistic-informed Micromechanics (2023) National Harbor, MD AIAA SciTech Forum 
  • Generation of 2-D Fiber Reinforced Composite Microstructures with Statistically Equivalent Features Using Machine Learning and Adaptive Data Generation (2023) National Harbor, MD AIAA SciTech Forum 
  • Impact of Nonuniform Fiber Arrangements on Simulated Composite Transverse-Tensile Strength (2022) Texas A&M American Society of Composites 37th Technical Conference 
  • Artificial Generation of 2-D Fiber Reinforced Composite Microstructures with Statistically Equivalent Features (2021) Texas A&M American Society of Composites 36th Technical Conference 
  • Functionally Graded Adhesives for Composite Joints (2021) University of Massachusetts Lowell Algorithms for Characterization and Statistically Accurate Reproduction of Quasi-Random Fiber Distribution in Composites (2020) NASA Glenn Multiscale and Multiphysics Modeling Branch, Materials and Structures for Extreme Environments 
  • Characterization and Reproduction of As-Manufactured Composite Microstructures by Evaluation of Fiber Aggregation Statistics and Machine Learning (2020) NASA Glenn Multiscale and Multiphysics Modeling Branch, Materials and Structures for Extreme Environments 
  • Efficient Generation and Statistical Evaluation of Fiber Aggregation in Composite Microstructures (2019) NASA Glenn Multiscale and Multiphysics Modeling Branch, Materials and Structures for Extreme Environments 
  • Generation of Fiber Aggregation and Statistical Spatial Point Process Evaluation on Composite Microstructures (2019) NASA Glenn Multiscale and Multiphysics Modeling Branch, Materials and Structures for Extreme Environments

Selected Contracts, Fellowships, Grants and Sponsored Research

NASA Space Technology Graduate Research Opportunity (NSTGRO) Fellowship

Research Currently in Progress

Integration of Manufacturing-Induced Variation in Multiscale Analysis of Composite Aerospace Structures