mse program overview - university of michigan€¦ · certificate in innovation &...

MSE Program Overview

Veera Sundaragaghavan

Fall 2019

Basic Academic Structure

The Aero Department is subdivided into three Groups : ⮚Flight Dynamics and Controls (FDC) ⮚Aerodynamics & Propuls ion (A&P) ⮚Structures and Materials (SM)

Research activities and projects are not limited to these areas ⮚Several “multidisciplinary” activities ⮚Cut across different groups

Graduate Program is built around individual needs /interes ts ⮚Graduate s tudents put together a course work plan

MSE Program Requirements

⮚ Minimum of 30 credit hours

⮚ At leas t 5 courses in aerospace engineering at 500-level or higher

⮚ B or better grade in required courses

⮚ Up to 6 credits (two courses ) of AE590 Directed Study

⮚ AE585 Aerospace Seminar (1 credit) expected at leas t once

⮚ Two approved1 mathematics courses

⮚ Maximum of four credit hours of non-technical courses in an approved subject area at the 500 level or higher. Approved subject areas include: Bus iness , Entrepreneurship, and English (including ELI). Non-technical courses not in these areas can be petitioned to the graduate chair for approval.

1https://aero.engin.umich.edu/academics/courses/graduate-courses/#mathreqs

Overview of Expected Academic Performance

⮚ Full time s tudent: 9 credit hours per semes ter

⮚ Pay attention to your academic performance

⮚ Cons ider research activity through AE 590 Directed Studies

Academic Advising

⮚ You all have been assigned to an Academic Adviser (AA)

⮚ The AA can help you with your course selection. However…

⮚ You are responsible for defining your program of study

⮚ If you want to change advisers, please contact Denise Phelps

⮚ The Grad Committee members are here to help: ⮚ Prof. Karthik Duraisamy – Aerodynamics & Propulsion (Gas Dynamics) ⮚ Prof. Ilya Kolmanovsky – Flight Dynamics & Control ⮚ Prof. Veera Sundararaghavan – Structures & Materials ⮚ Prof. Jean-Baptiste Jeannin - Computation

Com p lem en t you r deg ree w it h business, leadersh ip , and innovat ion sk il ls

St and ou t t o em p loyers and recru it ers

● Co u rse s includ ing Innova t ion Careers, Project Managem ent & Consu lt ing , In tellectua l Property St ra tegy, Fund ing & Ow nersh ip , In terpersona l Skills, and m ore

● Ce rt ifica t e in In n o va t io n & En t re p re n e u rsh ip 12-cred it p rog ram open to a ll m aster’s and PhD students

● NSF I-Co rp s Exp lore com m ercia liza t ion poten t ia l of technology

W EB: cfe.um ich .edu EMAIL: en t rep reneursh ip@um ich .edu

Ce n t e r fo r En t re p re n e u rsh ip

mailto:[email protected]

This is an exciting time! There are a lot of things to do and to learn — much more than you can fit in your schedule.

Enjoy it!

Flight Dynamics and Control Department of Aerospace Engineering

The Univers ity of Michigan

Dynamics and Control Faculty

James Cutler Ella Atkins Anouck Girard Dennis Bernstein

Ilya Kolmanovsky Dimitra Panagou Jean-Baptiste Jeannin Alex Gorodetsky

Dynamics and Control Faculty

Ella Atkins , PhD Univers ity of Michigan • Autonomy research in aviation • Augmenting onboard decis ion sys tems and supporting closer as tronaut-robot collaboration • Use models and algorithms from the control sys tems and computer science communities to bes t solve key Aerospace challenges Dennis S. Berns tein, PhD Univers ity of Michigan • Theory and application of nonlinear sys tem identification • Large-scale s tate es timation for data ass imilation, and adaptive

control

James W. Cutler, PhD Stanford • Space sys tems • Communication • Robus t computing infras tructure • Remote sens ing (emphas is on magnetometers ) Anouck Girard, PhD UC Berkeley • Nonlinear sys tems • Hybrid sys tems • Embedded sys tems • Cooperative control and unmanned vehicles

Dynamics and Control Faculty continued

Alex Gorodetsky, PhD Massachusetts Institute of Technology • Uncertainty quantification and s tatis tical learning • Decis ion making under uncertainty for dynamical sys tems • Computational approaches for large-scale learning and approximation

J ean-Baptis te J eannin, PhD Cornell Univers ity • Formal verification of cyber-phys ical sys tems • Aerospace software sys tems • Logics and semantics of programming languages • Programming with coinductive types • Software security


Ilya Kolmanovsky, PhD University of Michigan • Control of sys tems with s tate and control cons traints • Model Predictive Control • Control applications in aerospace and automotive sys tems • Modeling and control of engines and propuls ion sys tems Dimitra Panagou, PhD National Technical Univers ity of Athens , Greece • Nonlinear sys tems , multi-agent sys tems , decentralized/dis tributed

sys tems , etc. • Set-theoretic methods in control, motion, and path planning with

applications in unmanned aerial sys tems • Robotic networks and autonomous multi-vehicle sys tems


Dynamics and Control Major Research Areas

Autonomous air vehicles ⮚Atkins , Girard, Gorodetsky, Panagou

Aerospace information sys tems ⮚Atkins , Gorodetsky, J eannin

Adaptive control for aerospace applications ⮚Berns tein

Spacecraft dynamics , control, and sys tems engineering ⮚Berns tein, Cutler, Kolmanovsky

Control of cons trained and propuls ion sys tems ⮚Kolmanovsky

Flight Dynamics and Controls Courses Curriculum can be tailored to s tudent’s interes ts | Color Coding: FALL 2019 - WINTER 2020 - TBD

AE 540 Intermediate Dynamics AE 550 Linear Sys tems AE 552 Aerospace Information Sys tems AE 548 As trodynamics AE 551 Nonlinear Sys tems and Control AE 573 Spacecraft Dynamics and Control AE 575 Flight and Trajectory Optimization AE 584 Avionics , Navigation and Guidance of Aerospace Vehicles

Other Aero Courses

AE 566 Data Analys is and Sys tem Identification AE 580 Linear Feedback Control Sys tems AE 740 Model Predictive Control AE 740 Inference, Es timation, and Learning AE 579 Control of Structures and Fluids AE 572 Dynamics and Control of Aircraft

Courses Outs ide Aero MATH 558 Applied Nonlinear Dynamics , MATH 658 Nonlinear Dynamics , Geometric Mechanics and Control, EECS 461 Embedded Control, EECS 501 Probability and Random Processes , EECS 545 Machine Learning, EECS 558 Stochas tic Control, EECS 600 Function Space Methods in Sys tems Theory, EECS 566 Discrete Event Sys tems , EECS 662 Advanced Nonlinear Control, NA 531 Adaptive Control, ROB 501 Math for Robotics , ROB 550 Robotic Sys Lab, AE 558 Applied Nonlinear Dynamics , ME 561 Des ign of Digital Control Sys tems

U-M Controls Group College of Engineering Controls Group

aero.engin.umich.edu/research/areas /controls / College of Engineering Control Seminar Series Time: 3:30 – 4:30 PM Day: Fridays Place: 1500 EECS Bldg

Aerodynamics & Propulsion Department of Aerospace Engineering


Faculty

Luis Bernal Jim Driscoll Chris Fidkowski

Alec Gallimore Mirko Gamba

Karthik Duraisamy

Ken Powell

Phil Roe Venkat Raman

Iain Boyd

Iain Boyd Ben Jorns

Faculty

Luis Bernal, PhD California Ins titute of Technology • Fluid mechanics • Aerodynamics • Turbulent shear flow • Whole field flow measurement • Microgravity fluid phys ics Benjamin J orns , PhD Princeton Univers ity • Wear mechanisms and s tability in electric propuls ion sys tems • Turbulence and nonlinear processes in low temperature plasmas • Plasma diagnos tics • Inves tigating breakthrough forms of in-space propuls ion

James Driscoll, PhD Princeton University • Supersonic combus tion within scramjet experiments • Rocket combus tion (H2-O2) for NASA's Project Cons tellation Center

at Michigan • Fundamental s tudies of turbulent combus tion • Nitric oxide formation in general electric TAPS jet engine combus tors

Mirko Gamba, PhD Univers ity of Texas at Aus tin • Scalar imaging and velocity measurements in turbulent reacting flows • Subsonic and supersonic mixing and combus tion • Laser diagnos tics for fluid flows (reacting and nonreacting)

Gas Dynamics Faculty continued

Krzysztof Fidkowski, PhD Massachusetts Institute of Technology • Robus t algorithms for computational fluid dynamics • Geometry management and mesh generation • Parallel computation • Large-scale model reduction • Output-based error es timation • Design under uncertainty Kenneth Powell, PhD Massachusetts Ins titute of Technology • Computational fluid dynamics • Aerodynamics and compress ible flow • Numerical methods for plasmas • Computational space phys ics



Karthik Duraisamy, PhD Univers ity of Maryland, College Park • Data-driven modeling and uncertainty quantification • Turbulence modeling and s imulation • Reduced order modeling • Applied CFD • Numerical methods

Venkat Raman, PhD Iowa State Univers ity • Computational models for turbulent reacting flows with application to

aircraft and scramjet engines , s tationary power generation, and synthes is of novel materials

• High performance computing and detailed numerical s imulations to s tudy the performance of combus tion devices

• Numerical error analys is , uncertainty quantification, and failure predictions , aimed towards modeling catas trophic and rare events in complex devices and natural sys tems


Philip Roe, PhD Cambridge Univers ity (United Kingdom) • Computational fluid dynamics • Magnetohydrodynamics • Electromagnetics

Iain Boyd, PhD Southampton • Hypersonic aerothermodynamics • Electric propuls ion • Rocket plumes • Nonequilibrium gas and plasma dynamics

Iain Boyd

Major Research Areas

Fluid Dynamics /Aerodynamics Bernal, Fidkowski, Gamba, Duraisamy

Combus tion/Chemical Propuls ion Driscoll, Gamba, Raman

Computational Fluid Dynamics Boyd, Fidkowski, Duraisamy, Powell, Roe, Raman Electric Propuls ion/Plasmas Boyd, Gallimore, Powell

Hypersonics Boyd, Driscoll, Gamba, Roe Computational & Data science Duraisamy, Raman, Gorodetsky, Fidkowski, Sundararaghavan

Aerodynamics & Propulsion Courses Curriculum can be tailored to s tudent’s interes ts | COLOR CODING: FALL | WINTER

⮚ Aero 520 Compress ible Flow I ⮚ Aero 522 Viscous Flow ⮚ Aero 532 Molecular Gas Dynamics ⮚ Aero 523 CFD I ⮚ Aero 525 Turbulent Flow I ⮚ Aero 533 Combus tion I ⮚ NERS 571 Intermediate Plasma Phys ics I ⮚ Aero 579 Fluid/Structure Control ⮚ Aero 521 Experimental Methods ⮚ Aero 544 Aeroelas ticity (S&M) ⮚ Aero 545 Aeromechanics of Rotary Wing Vehicles (S&M)

⮚ Aero 524 Aerodynamics II ⮚ Aero 526 Hypersonics ⮚ Aero 527 Unsteady Aero and Acous tics ⮚ Aero 530 Gas Turbine Propuls ion ⮚ Aero 535 Rocket Propuls ion ⮚ Aero 536 Electric Propuls ion ⮚ Aero 627 Advanced Gasdynamics ⮚ Aero 623 Advanced CFD ⮚ Aero 625 Advanced Turbulent Flow ⮚ Aero 597 Space Plasma Phys ics ⮚ Aero 633 Advanced Combus tion ⮚ Aero 729 Data-driven Modeling for Sci. Comp. ⮚ Aero 729 Large Eddy Simulations ⮚ Aero 729 Automotive Aerodynamics

Structures and Materials Department of Aerospace Engineering


Structural and Materials Faculty

Carlos Cesnik Peretz Friedmann Nakhiah Goulbourne Dan Inman Joaquim Martins

John Shaw Veera Sundararaghavan Henry Sodano Peter Washabaugh

Daniel Inman, PhD Michigan State University • Smart materials and s tructures as applied to morphing aircraft, energy

harves ting, s tructural health monitoring and clearance control in jet engines

• Gust alleviation in UAVs • Cable harnessed satellites • Wind turbine blade monitoring Carlos Cesnik, PhD Georgia Ins titute of Technology • Active aeroelas tic s tructures • Computational aeroelas ticity • Structural health monitoring: guided-wave modeling, transducer des ign,

s ignal process ing

Structural and Materials Faculty

Peretz Friedmann, DSc Massachusetts Institute of Technology • Rotary and fixed wing computational aeroelas ticity • Vibration and noise reduction in helicopters • Hypersonic vehicle aerothermoelas ticity • Multidisciplinary optimization • Turbomachinery aeroelas ticity Nakhiah Goulbourne, PhD Pennsylvania State Univers ity • Mechanics of electroactive polymers • Constitutive behavior of soft materials • Bio-inspired skins and membranes • High s train rate response of polymers and compos ites

Structures and Materials Faculty continued

Joaquim Martins, PhD Stanford University • MDO methodologies to the des ign of aircraft configurations • Focus on high-fidelity s imulations that take advantage of high-performance parallel computing

J ohn Shaw, PhD Univers ity of Texas at Aus tin • Mechanics of adaptive materials and s tructures • Ins tabilities and thermomechanical behavior of solids and experimental mechanics


Henry Sodano, PhD Virginia Tech • Composites , multifunctional material, and self-healing polymers • Nanocompos ites and nanotechnology • Interfaces and MEMS/NEMS sensors • Energy harves ting • Vibration Control Veera Sundararaghavan, PhD Cornell Univers ity • Integrated computational materials engineering • Materials -by-des ign and materials informatics • Computational mechanics and atomis tic s imulations • Crys tal plas ticity


Peter Washabaugh, PhD California Institute of Technology • Experimental solid mechanics • Fracture mechanics • Ins trumentation • Non-des tructive tes ting • Optimization


Major Research Areas Fixed and Rotary Wing Aeroelasticity, Aeromechanics Cesnik, Friedmann, Martins Smart Materials and Structures Goulbourne, Inman, Shaw Composite Materials Cesnik, Sodano

Multidisciplinary Design Optimization Friedmann, Martins

Structures and Materials Courses Curriculum can be tailored to student’s interests

AE 513 Solids and Structures I AE 518 Elas tic Stability AE 543 Structural Dynamics AE 510 Finite Elements I AE 514 Solids and Structures II AE 516 Compos ite Structures AE 544 Aeroelas ticity AE 545 Aeromechanics of Rotary Wing Vehicles

Other Aero Courses AE 511 Finite Elements II AE 523 CFD I (GD) AE 540 Intermediate Dynamics AE 579 Control of Fluids and Structures AE 618 Advanced Stability AE 714 Atomis tic Modeling AE 588 Multidisciplinary Des ign Optimization AE 714 Multifunctional Materials and Structures

Courses Outside Aero ME 512 Theory of Elas ticity, ME 516 Thin Films and Fracture, ME 517 Mechanics of Polymers , ME 519 Plas tic Theory

Questions & Answers

aero.engin.umich.edu/academics /graduate/mse/

Thank you for attending the Aerospace Engineering Graduate Orientation!

As you exit, feel free to grab a snack, bottled water, and welcome gift in the atrium.

Don’t Forget – Orientation at Rackham Graduate School begins at 1:00 PM today!

Thank you. aero.engin.umich.edu

mse program overview - university of michigan€¦ · certificate in innovation &...

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