MS PROJECTS IN MECH ENGINEER

MS PROJECTS IN MECH ENGINEERIN

Master's level independent project involving theoretical, computational, experimental, or engineering design work. May be repeated, subject to Master's Program guidelines. Students must submit both a project outline prior to registration and a final project write-up at the end of the semester.

• Instructor: Anthony Genova
  Info
• 1-3 points

FIELDWORK

Only for ME graduate students who need relevant off-campus work experience as part of their program of study as determined by the instructor. Written application must be made prior to registration outlining proposed study program. Final reports required. May not be taken for pass/fail credit or audited. International students must consult with the International Students and Scholars Office.

• Instructor: Michael Burke
  h-index: 22 Info
• 1 points

NANOSCALE ACTUATION & SENSING

NANOSCALE ACTUATION/SENSI

Interaction of light with nanoscale materials and structures for purpose of inducing movement and detecting small changes in strain, temperature, and chemistry within local environments. Methods for concentrating and manipulating light at length scales below the diffraction limit. Plasmonics and metamaterials, as well as excitons, phonos, and polaritons and their advantages for mechanical and chemical sensing, and controlling displacement at nanometer length scales. Applications to nanophotonic devices and recently published progress in nanomechanics and related fields.

• R 1:10 p.m.-3:40 p.m.
• Instructor: P J Schuck
  Info
• 3 points

Two-dimensional Materials

Introduction to two-dimensional (2D) materials. Crystal structure. Synthesis and characterization. Mechanical behavior. Waves in 2D lattices, and phonon bandstructure. Basic concepts of quantum mechanics. Electronic bandstructure of graphene. Electrical transport in graphene. Optics of 2D semiconductors. Advanced topics include quantum Hall effects; topology; and ‘twisted’ 2D heterostructures.

• T 4:10 p.m.-6:40 p.m.
• Instructor: James Hone
  CULPA: 11 h-index: 124 Info
• 3 points

MIXT THEORIES FOR BIOL TISSUES

Development of governing equations for mixtures with solid matrix, interstitial fluid, and ion constituents. Formulation of constitutive models for biological tissues. Linear and nonlinear models of fibrillar and viscoelastic porous matrices. Solutions to special problems, such as confined and unconfined compression, permeation, indentation and contact, and swelling experiments.

• M 4:10 p.m.-6:40 p.m.
• Instructor: Gerard A Ateshian
  Info
• 3 points

ADVANCED HEAT TRANSFER

Application of analytical techniques to the solution of multidimensional steady and transient problems in heat conduction and convection. Lumped, integral, and differential formulations. Topics include use of sources and sinks, laminar/turbulent forced convection, and natural convection in internal and external geometries.

• M 4:10 p.m.-6:40 p.m.
• Instructor: David E Tew
  Info
• 3 points

ADVANCED MACHINE DYNAMICS

Advanced Machine Dynamics

Review of classical dynamics, including Lagrange’s equations. Analysis of dynamic response of high-speed machine elements and systems, including mass-spring systems, cam-follower systems, and gearing; shock isolation; introduction to gyrodynamics.

• F 4:10 p.m.-6:40 p.m.
• Instructor: Anthony Genova
  Info
• 3 points

Mechanics of Elastomeric and Elastomeric

Mech of Elasto Materials

Mechanics of nonlinear mechanical behavior of elastomeric and elastomeric-like solids. Overview of structure and behavior of elastomers. Kinematics of large deformation. Constitutive models for equilibrium stress-strain behavior, using invariant measures of deformation and statistical mechanics of molecular networks. Automated Constitutive Model Discovery via Neural Networks. Hysteretic aspects of structure and behavior due to time dependence and structural evolution with deformation. Review of experimental data and models to capture and predict observations. Time permitting: behavior of particle-filled, thermoplastic and biomacromolecular elastomers.

• W 10:10 a.m.-12:40 p.m.
• Instructor: Mary Boyce
  Info
• 3 points

Mathematics of Machine Learning, Signals

Math of ML, Signals, & Co

Advanced Linear Algebra, Complex Variable Theory, Integral Transforms, Measure Theory and Probability Theory, Advanced Information Theory, Differential and Difference Equations, Calculus of Variations, Nonlinear Optimization, State-Space Modeling, Advanced Signal Processing and Recognition: non-Stationary Signal Recognition, Spectral and Cepstral Analysis, Supervised and Unsupervised Clustering,  Decision Theory, Math of modern NN architectures.

• M 4:10 p.m.-6:40 p.m.
• Instructor: Homayoon Beigi
  Info
• 3 points

ROBOT LEARNING

Robots using machine learning to achieve high performance in unscripted situations. Dimensionality reduction, classification, and regression problems in robotics. Deep Learning: Convolutional Neural Networks for robot vision, Recurrent Neural Networks, and sensorimotor robot control using neural networks. Model Predictive Control using learned dynamics models for legged robots and manipulators. Reinforcement Learning in robotics: model-based and model-free methods, deep reinforcement learning, sensorimotor control using reinforcement learning.

• MW 10:10 a.m.-11:25 a.m.
• Instructor: Matei T Ciocarlie
  Info
• 3 points

MASTERS THESIS

Research in an area of mechanical engineering culminating in a verbal presentation and a written thesis document approved by the thesis adviser. Must obtain permission from a thesis adviser to enroll. Recommended enrollment for two terms, one of which can be the summer. A maximum of 6 points of master’s thesis may count toward an M.S. degree, and additional research points cannot be counted. On completion of all master’s thesis credits, the thesis adviser will assign a single grade. Students must use a department-recommended format for thesis writing.

• Instructor: Arvind Narayanaswamy
  CULPA: 9 h-index: 26 Info
• Instructor: Matei T Ciocarlie
  Info
• 1-3 points

GRADUATE RESEARCH AND STUDY II

Theoretical or experimental study or research in graduate areas in mechanical engineering and engineering science.

• Instructor: Gerard A Ateshian
  Info
• Instructor: Arvind Narayanaswamy
  CULPA: 9 h-index: 26 Info
• Instructor: Vijay Vedula
  h-index: 17 Info
• Instructor: James Hone
  CULPA: 11 h-index: 124 Info
• Instructor: Kristin Myers
  CULPA: 3 h-index: 25 Info
• Instructor: Jeffrey W Kysar
  CULPA: 9 h-index: 37 Info
• Instructor: Vijay Modi
  CULPA: 3 h-index: 40 Info
• Instructor: P J Schuck
  Info
• Instructor: Qiao Lin
  h-index: 41 Info
• Instructor: Matei T Ciocarlie
  Info
• Instructor: Michael J Massimino
  Wikipedia Info
• Instructor: Michael Burke
  h-index: 22 Info
• Instructor: Sunil Agrawal
  Wikipedia h-index: 65 Info
• Instructor: Sinisa Vukelic
  CULPA: 2 h-index: 11 Info
• Instructor: Bianca N Howard
  Info
• Instructor: Harry West
  CULPA: 1 h-index: 1 Info
• Instructor: Yevgeniy Yesilevskiy
  h-index: 7 Info
• Instructor: Hod Lipson
  Wikipedia h-index: 79 Info
• Instructor: Karen Kasza
  h-index: 17 Info
• Instructor: Mary Boyce
  Info
• Instructor: Chaoqun Dong
  Info
• Instructor: Adrian Buganza Tepole
  Info
• 1-6 points

GRADUATE SEMINAR

All doctoral students are required to complete successfully four semesters of the mechanical engineering seminar MECE E9500.

• F 11 a.m.-noon
• 0 points

DOCTORAL RESEARCH INSTRUCTION

A candidate for the Eng.Sc.D. degree in mechanical engineering must register for 12 points of doctoral research instruction. Registration in MECE E9800 may not be used to satisfy the minimum residence requirement for the degree.

• Instructor: Nicolas W Chbat
  Info
• 3-12 points