Networking Research Center Industry Day

Penn State University College of Engineering David N. Wormley, Dean Tuesday, October 17, 2006 IndustryDay.ppt

NATIONAL POSITION

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PSU ENGINEERING ranks among the largest and highest quality colleges in the U.S.

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04/05 U.S. Engineering Degrees Awarded

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2nd in B.S. degrees awarded 7th in Ph.D. degrees awarded

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U.S. News Engineering Rankings

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14th in U.S. undergraduate 19th in U.S. graduate

Undergraduate Curriculum

Prepare World-Class Engineers:

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Aware of the World

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Solidly Grounded

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Technically Broad

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Versatile

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Effective in Team Operations

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Effective in Leadership

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FIRST YEAR INTERNATIONAL DESIGN

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Collaboration with French students from Universite D’Artois work on Industry Sponsored Projects

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Design Reports written in both English and French Collaborations with 4 other EU Universities INTERNATIONAL INTERNSHIPS FIRST YEAR SEMINAR ON ENGINEERING IN CHINA

LEARNING FACTORY

   Experiential Learning Teams from Penn State, U of Washington, U of Puerto Rico, Mayaguez developed Learning Factory In 2006, teams received National Academy of Engineering $500,000 Bernard Gordon Award for Educational Innovation

Interdisciplinary Minors

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Engineering Leadership Development

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Intended for students to supplement their major field of study with knowledge of leadership concepts, principles, practices, and techniques

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Current enrollment: 158 (13% non-engr)

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Engineering Entrepreneurship

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Intended for students aspiring to be innovation leaders of new technology-based products and companies

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Current enrollment: 151 in core courses; 80 in higher level electives ENGINEERING:….A Creative Profession, Serving Society

Research Thrusts in Areas of State and National Needs

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Energy/Environment Nanotechnology Biomedical/Biotech Information Technology Homeland Security ENGINEERING:….A Creative Profession, Serving Society

Growth in Research Activities

Research in Millions

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Recent increases represent significant growth in interdisciplinary research.

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Industry funds ~ 20% of COE research.

100 80 60 40 20 0 55 71.4

78.2

85.2

92.4 92.6

'00 '01 '02 '03 '04 '05

Penn State Engineering: Partnering with Industry on Research

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Central Industrial Research Office

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Serves as liaison between PSU and industries

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PSU – 2nd in industry sponsored research in nation

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Penn State Engineering: Partnering with Industry on Research

Gifts – support a variety of faculty activities Unrestricted Grants – support research activities Cooperative Agreements

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Sponsor involvement on a collaborative basis Master Agreements with IP pre-negotiation to support research through Task Orders.

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Currently 45 Master Agreements are in place including:

 Northrup Grumman  Toyota Manufacturing NA  Lockheed Martin  GM  Hershey Foods  Kennemetal  Pratt and Whitney  Raytheon  Corning, Inc.

 Pittsburgh Digital Greenhouse

Network Education and Research Programs throughout the College of Engineering

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Activities centered in:

• • • • • Aerospace Engineering Computer Science & Engineering Electrical Engineering Industrial & Manufacturing Engineering Mechanical & Nuclear Engineering

Department of Aerospace Engineering

Aerospace applications

Fleets of small, low-cost Uninhabited Aerial Vehicles (UAVs) for: •Meteorology •Surveying and remote sensing •Surveillance and target tracking Satellite Constellations •Terrestrial Planet Finder •Darwin (ESA mission)

CSE Research Areas

Research Centers/Labs

     Center for Embedded and Mobile Computing (CSE, EE, Mat Sci, ME, Civil) • Co-Directors: Anand Sivasubramaniam and Janie Irwin Center for Networking & Security Statistics, IST) (CSE, EE, • Director: T. La Porta Center for Machine Learning Applications IST, Statistics, EE, Business) • Director: R. Acharya Scalable Computing Lab Physics, Civil) (CSE, (CSE, Mat Sci, EE, Aero, Math, • Director: P. Raghavan Center for Computer Vision ME) • Director: B. Collins (CSE, EE, Statistics, Civil,

Department of Electrical Engineering

AYLIN YENER

Associate Professor of Electrical Engineering Recent Awards (since 2005):  Two NSF grants  DARPA- CBMANET program New:  $6.5M DARPA Grand Challenge that called for a new Information Theory for Mobile Ad Hoc Networks (ITMANET): The winning team consists of Prof. Yener

Mohsen Kavehrad Electrical Engineering Department

Biologically Inspired Signal Processing

Work in different areas: Antenna Design - Doug Werner Power Systems - Kwang Lee Signal Processing - Ken Jenkins    

Genetic optimization algorithms Particle swarm optimization Ant colony optimization Neural network pattern recognition

Payload-Based High-Speed Network Intrusion Detection System (IDS) J. Wang, G. Kesidis, D.J. Miller, and I. Hamadeh Incoming Packets

High-Speed Worm Defense by Using Both Header and Payload

Multidimensional Traffic Clustering and Classification Packet Header Hashing Multidimensional Clustering Suspicious Cluster Identification Suspicious Cluster Pool Innocuous Packet Pool Worm Signature Extraction and Evaluation Worm Signature Extration Worm Signature Evaluation Worm Signatures Payload-Based Worm Containment

Suspicious Cluster Identification Multidimensional Traffic Mining

 Frequent item set mining applied to network traffic flows, based on the packet header 5-tuple (source IP, destination IP, source port, destination port, protocol)  Using top-down method to build up a multidimensional tree and only mining significant (with traffic volume larger than a threshold) and suspicious clusters Two Criteria for Defining a Suspicious Cluster:  Its traffic volume is larger than a threshold (e.g., 1%)  Its source or destination IP dispersion/cardinality is larger than a threshold. In other words, the number of different source or destination IP addresses involved in a cluster is larger than a threshold (e.g., 30)

Pipelined Implementation Worm Signature Extraction

   3

T

delay (

T

could be as small as 1 second): hash packets arriving in [0,

T

]; perform mining in [

T

, 2

T

]; collect suspicious packets and extract signatures in [2

T

, 3

T

]   Building a generalized suffix tree for each suspicious cluster, and extracting signatures only from a small part of packets With time and space linear in the length of each suspicious cluster Requiring 50 to 60 MB memory without packet sampling  Jointly considering length, frequency and false positive to improve the accuracy of signatures Can handle the link with load up to 800Mbps in real-time by software  Easily modifying rules to search for multiple signature descriptions of varying length range, with little increase in complexity This work is supported by NSF and DHS.

Organic Thin Film Electronics – Electronics Anywhere

T. N. Jackson Center for Thin Film Devices and Materials Research Institute, Electrical Engineering, Penn State University

Low-cost devices and circuits on arbitrary substrates

Electronics anywhere Organic thin film transistor polymeric substrate AMLCD OTFTs on non-planar surfaces Organic display a-Si:H active matrix OLED display Transistors on cloth Transistors on cloth a-Si:H active matrix Gamma ray detector on polyimide substrate a-Si:H strain bridge array

Marcus Department of Industrial and Manufacturing Engineering

NSF-SST: PIPELINE INFRASTRUCTURE MONITORING

Health Monitoring T-mote sensor board

0 0

Report data

Sensor data fusion and data mining Identify and respond to defects

Maintenance group S. Kumara (PSUIE)

Xiang Zhang (UCB) Sangkook Kim (MIT) S. Bukkapatnam (OSU)

Sensor Network :

Clustering and routing algorithm Broadcasting information

Perform maintenance (Self-Healing)

Defect Sensor for collecting data Miniature Wireless Sensors (Self-sustainable)

A dvanced T echnology for interoperability of H eterogeneous E nterprise N etwork & their A pplications

A* (2) Annotate

Business Object Document Ontology

(3) Def. Rules for mapping (3) Def. Rules for mapping Local Interface Enterprise 1 R ARGOS R (1) Create Local Interface Enterprise 2 ATHOS ARES Enterprise 1 Enterprise 2 Local Interface Internet Internet Local Interface (1) Partners in USA : AIAG, NIST, GM, Ford, Microsoft, IBM, SAP, and other business partners and software vendors (

PSUIE – Kumara & Oh support GM

) (2) Partners in EU : CNR in Italy, SAP in Austria, Breza in Serbia and other laboratories in European countries

Information Technology Related Research Mechanical and Nuclear Engineering Department

NSF Information Technology Research Grants:

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Data-Driven Autonomic Performance Modulation for Servers, Q. Wang

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Infrastructure of the Networked Robotics & Signal Intelligence Laboratory, A. Ray

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An Agent-Based Negotiation Framework for the Robust Design of Active-Passive Hybrid Piezoelectric Vibration Control Networks, K-W. Wang Cyber-infrastructure Grant:

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Network of Design Repositories, T. Simpson

NSF-ITR: Data-Driven Autonomic Performance Modulation for Servers Qian Wang, MNE Department with A. Sivasubramaniam and N. Gautam  Objective:

Self-managing large clusters of server systems such as hosting centers & data centers

• Performance modulation • Resource allocation • Power management  Approach:

Control-theoretic based modeling and control design

• Workload parameterized dynamic models and controller structure • On-line optimization & implementation

Infrastructure of the Networked Robotics & Signal Intelligence Laboratory

Asok Ray, MNE Department

Overhead Vision based localization Floor with embedded piezo-electric pressure sensors Scanning Laser Rangefinder Dedicated Wireless Network

NSF-ITR: An Agent-Based Negotiation Framework for the Robust Design of Active-Passive Hybrid Piezoelectric Vibration Control Networks – KW Wang, MNE Department Distributed piezo-transducers and multiple-branch circuitry networks with active source and passive circuits

 Significantly increase smart structure DOF and design space  System much more adaptable to advanced monitoring and control

Robustness Agent Sensitivity Agent Advanced design framework Agent-based information technology for robust design, tradeoff negotiation and circuit

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topology synthesis

Aims to incorporate/learn knowledge and heuristics to assist designers to address high-level smart structure design issues in a systematic way

Cyber-infrastructure Grants

T. Simpson, MNE Department

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Two NSF CI-TEAM Awards Prof. Tim Simpson is leading two multi-university NSF CI-TEAM 1 projects to develop a cyber-infrastructure-based network of design repositories to support innovative education and instruction in product design and development

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MNE, IME, SEDTAPP, IST, and Psychology faculty involved at Penn State

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Partner institutions include: 1. Northwestern University 2. Bucknell University 3. Drexel University 4. Virginia Tech 5. SUNY-Buffalo 6. Sweet Briar College 7. Norfolk State University 8. University of Missouri-Rolla

Repository ( Penn State ) Repository (VaTech) Repository (Drexel) Partnered Repositories

1 CI-TEAM = Cyber-infrastructure Training, Education, Advancement, and Mentoring Program

SUMMARY

 Penn State is continuing to build leading educational and research programs.

 A significant initiative in the College - network focused programs.