Intelligent Systems IS focus area Computer Systems Archiecture CSA focus area

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Outline. Who and what are we?Active research projectsClasses, requirements, planningFunding opportunities, assistantshipsDegree optionsQ

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Intelligent Systems IS focus area Computer Systems Archiecture CSA focus area

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1. Intelligent Systems (IS) focus area Computer Systems Archiecture (CSA) focus area Introduction meeting Professor Adam Hoover Fall, 2007

2. Outline Who and what are we? Active research projects Classes, requirements, planning Funding opportunities, assistantships Degree options Q&A

3. Who are we? Loose confederation based upon common research interests Loose mission statements: IS: Building better machine systems CSA: Building better/faster computing machines Who: IS (8 Professors): Birchfield, Brooks, Burg, Dawson, Groff, Hoover, Schalkoff, Walker CSA (10 Professors): Birchfield, Brooks, Gowdy, Hoover, Ligon, Sander, Schalkoff, Smith, Taha, Walker

4. Who are we? Current enrollment IS: 30-50 graduate students (currently 37) CSA: 10-25 graduate students (currently 12) Lab space IS: Riggs 13/15/17 (main lab), EIB 258 (main lab) CSA: Riggs 309 (main lab), EIB 352 (main lab), Cluster room Shared: Riggs 219, Riggs 315/7, EIB 341, ...

5. Research thrust areas Sensor networks Tracking filters and embedded systems Physiological monitoring systems Nonlinear system modeling and control Audio and visual spatial sensing Biologically inspired robotics (More that are not listed here)

6. MOUT – Tracking Soldiers

8. Unmanned/Manned Vehicle Steer-by-Wire Systems - Design, Modeling, and Control Autonomous directional control for unmanned vehicle operation Human-machine interface design for adjustable road “feel” at the servo-motor steering wheel Accommodation of disabled operators through alternative driver input devices Hardware-in-the-loop test station with real time virtual reality display Exploring collaborative effort with Psychology department

9. Audio and visual spatial sensing

10. Invertebrate’ robot trunks/tentacles

11. Animated Architecture

13. Enterprise Security

14. Heterogeneous HPRC Performance Optimization NP-Complete problem Using greedy heuristic to find near optimal solution Assume application divided evenly among HPRC nodes Use processor sharing queueing model for background load Sort nodes based on a scale factor rather than simply background arrival rates

15. Accelerating LAMMPS w/ HPRC LAMMPS - a widely used, C++ Molecular Dynamics Simulator Currently, performance bottlenecks limiting scientific research Examined LAMMPS for “Hot Spots” or bottlenecks Researching use of XtremeData HPRC architecture to overcome limitations Rhodo Benchmark - Rhodopsin protein in solvated lipid bilayer 32,000 atoms (440 neighbors per atom) 10 angstrom cutoff Size of boundry/box**** Timestep is 1 femtosecond 100 timesteps of simulation

16. Classes (IS) Required (all these courses offered once per year) : A 600-level course chosen from (610, 642, 655, 668) ECE 801 - Analysis of Linear Systems ECE 847 - Digital Image Processing ECE 859 - Intelligent Robotic Systems Other IS courses (typically offered once per 3 semesters): 804, 805, 854, 856, 872, 893 (various) courses from other focus areas or departments are allowed Planning: Take core early, figure out what you would like to do

17. Classes (CSA) Required: A software course (ECE 617, 852, 855 or 873) An architecture course (ECE 629, 668, 842 or 851) A networks course (ECE 640, 649, 848 or 849) Other CSA courses: any from the above lists courses from other focus areas or departments are allowed Planning: Take core early, figure out what you would like to do

18. Advisors Selecting a faculty advisor is a two-way decision All faculty use different criteria for evaluating students Performance in core course taught by that professor Evaluation of volunteer or startup work in lab Probationary period Assistance to PhD or senior graduate student

19. Funding Grading Assistantship (GA) - assist prof. with a course Teaching Assistantship (TA) - teach lab sections Research Assistantship (RA) - assist prof. in funded project GAs and TAs are administered by department RAs are generally offered to PhD students, or sometimes masters students showing potential and commitment for PhD You do not need funding to get involved in research

20. Degree options Majors (at masters and PhD level): Computer Engineering (CpE) Electrical Engineering (EE) Options: Focus area (IS is one of six areas in department) Thesis best to examine options after first semester completed typically work with PhD student probably adds a semester - 2.5 years total Coursework - skip thesis

21. Recent graduates Ph.D. students - Academic Positions Clarkson University at Potsdam, New York University of Michigan at Ann Arbor, Michigan Louisiana State University, Louisiana Ph.D. students - Industrial Positions Lucent Technology in Connecticut Oakridge National Laboratories in Tennessee MS Students - Ph.D. Pursuits German Aerospace Institute in Germany Stanford University in California MS Students - Industrial Positions General Electric in Virginia IBM in North Carolina Intel in Columbia and San Francisco

22. What should you do next?

23. Q & A ?

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