Center for Resilient Infrastructures, Systems, and Processes (CRISP)

Slides:



Advertisements
Similar presentations
What do we currently mean by Computational Science? Traditionally focuses on the “hard sciences” and engineering –Physics, Chemistry, Mechanics, Aerospace,
Advertisements

Network of Excellence in Internet Science Network of Excellence in Internet Science (EINS) 3 rd Plenary Meeting Munich, November 2013 FP7-ICT
Assessment of Undergraduate Programs Neeraj Mittal Department of Computer Science The University of Texas at Dallas.
Possible contribution of FESB research group to O 2 project Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture Sven Gotovac.
Science of Science and Innovation Policy (SciSIP) Presentation to: SBE Advisory Committee By: Dr. Kaye Husbands Fealing National Science Foundation November.
Sogang University ICC Lab Using Game Theory to Analyze Wireless Ad Hoc networks.
1 Emerging Science For Interdependent Complex Networks: “Methodological Breakthrough Needed” Junshan Zhang School of ECEE, Arizona State University NITRD.
1 Sensor Networks and Networked Societies of Artifacts Jose Rolim University of Geneva.
Systems Engineering for Automating V&V of Dependable Systems John S. Baras Institute for Systems Research University of Maryland College Park
Adaptive Infrastructures EPRI/DoD Initiative on Complex Interactive Networks/Systems Joint innovative research ·EPRI and ·Office of the Director of Defense.
CS 1 – Introduction to Computer Science Introduction to the wonderful world of Dr. T Dr. Daniel Tauritz.
CS 1 – Introduction to Computer Science Introduction to the wonderful world of Dr. T Dr. Daniel Tauritz.
Masters in Information Science and Technology (IST) Thesis and Non-Thesis Option (30 Credits)
Building a Strong Foundation for a Future Internet Jennifer Rexford ’91 Computer Science Department (and Electrical Engineering and the Center for IT Policy)
David L. Spooner1 IT Education: An Interdisciplinary Approach David L. Spooner Rensselaer Polytechnic Institute.
Présentation EPFL-Public | Ecole Polytechnique Fédérale de Lausanne EPFL.
1 Building National Cyberinfrastructure Alan Blatecky Office of Cyberinfrastructure EPSCoR Meeting May 21,
01/16/2002 Reliable Query Reporting Project Participants: Rajgopal Kannan S. S. Iyengar Sudipta Sarangi Y. Rachakonda (Graduate Student) Sensor Networking.
© Heikki Topi Data Science and Computing Education ACM Education Council Portland, OR September 16-17, 2014 Heikki Topi, Bentley University.
Introduction to Computer and Programming CS-101 Lecture 6 By : Lecturer : Omer Salih Dawood Department of Computer Science College of Arts and Science.
Last Words COSC Big Data (frameworks and environments to analyze big datasets) has become a hot topic; it is a mixture of data analysis, data mining,
Ness Shroff Dept. of ECE and CSE The Ohio State University Grand Challenges in Methodologies for Complex Networks.
Science & Technology Centers Program Center for Science of Information Bryn Mawr Howard MIT Princeton Purdue Stanford Texas A&M UC Berkeley UC San Diego.
Structure of Study Programmes
Network of Excellence in Internet Science Network of Excellence in Internet Science (EINS) Joint Workshop and 4 th Plenary Meeting Bologna June 13, 2014.
COLUMBIA UNIVERSITY Department of Electrical Engineering The Fu Foundation School of Engineering and Applied Science IN THE CITY OF NEW YORK Networking.
NSF Critical Infrastructures Workshop Nov , 2006 Kannan Ramchandran University of California at Berkeley Current research interests related to workshop.
Structure of Study Programmes Bachelor of Computer Science Bachelor of Information Technology Master of Computer Science Master of Information Technology.
Robust Reinforcement Learning Control Chuck Anderson, Matt Kretchmar, Department of Computer Science, Peter Young, Department of Electrical and Computer.
EE Faculty. EE Technical Areas Micro Devices & Physical Principals Integrated Circuits & Systems Signals & Information Processing Networking & Communications.
A Data Intensive High Performance Simulation & Visualization Framework for Disease Surveillance Arif Ghafoor, David Ebert, Madiha Sahar Ross Maciejewski,
1. Process Gather Input – Today Form Coherent Consensus – Next two months.
Mechanism design for total quality management: Using the bootstrap algorithm for changing the control game Petter Øgland Jan Ljungberg, Professor Informatics.
Last Words DM 1. Mining Data Steams / Incremental Data Mining / Mining sensor data (e.g. modify a decision tree assuming that new examples arrive continuously,
Collide Research Group University Duisburg-Essen (UDE)
Algorithmic, Game-theoretic and Logical Foundations
Master’s Degree in Computer Science. Why? Acquire Credentials Learn Skills –Existing software: Unix, languages,... –General software development techniques.
Computational Science & Engineering meeting national needs Steven F. Ashby SIAG-CSE Chair March 24, 2003.
Designing Games for Distributed Optimization Na Li and Jason R. Marden IEEE Journal of Selected Topics in Signal Processing, Vol. 7, No. 2, pp ,
CS382 Introduction to Artificial Intelligence Lecture 1: The Foundations of AI and Intelligent Agents 24 January 2012 Instructor: Kostas Bekris Computer.
Optimization Techniques for Natural Resources SEFS 540 / ESRM 490 B Lecture 1 (3/30/2016)
CS 1010– Introduction to Computer Science Daniel Tauritz, Ph.D. Associate Professor of Computer Science Director, Natural Computation Laboratory Academic.
Green IT: Sustainability A History Computing Research: Roles and Opportunities for Information Technology in Meeting Sustainability Challenges.
Topics in socio-technical Elena Simperl 04 December 2014.
Sub-fields of computer science. Sub-fields of computer science.
Horizon 2020 Secure Societies European Info Day and Brokerage Event
Innovation- and research programmes at TU Delft Safety and Security Institute (DSyS) June 8th 2017 HSD Cafe Pieter van Gelder.
ROS 2: Cyber Security and Network Robustness for Robotics
Penn State Center for e-Design Site Vision and Capabilities
Center of Excellence in Cyber Security
Networking & Communications Prof. Javad Ghaderi
SENSOR FUSION LAB RESEARCH ACTIVITIES PART I : DATA FUSION AND DISTRIBUTED SIGNAL PROCESSING IN SENSOR NETWORKS Sensor Fusion Lab, Department of Electrical.
Computer Science Department, University of Missouri, Columbia
CS 1010– Introduction to Computer Science
A Network Virtual Machine for Real-Time Coordination Services
RESEARCH, EDUCATION, AND TRAINING FOR THE SMART GRID
Optimization Techniques for Natural Resources SEFS 540 / ESRM 490 B
Information Systems in Global Business Today
BALANCE OF HALA! AND PROPOSAL FOR FUTURE NETWORKS UNDER SESAR 2020
Towards Next Generation Panel at SAINT 2002
Introducing Hamidreza Modares
Center for Resilient Infrastructures, Systems, and Processes (CRISP)
Saurabh Bagchi ECE & CS, Purdue University Joint work with:
Enabling ML Based Research
INNOvation in TRAINING BUSINESS ANALYSTS HAO HElEN Zhang UniVERSITY of ARIZONA
Faculty of Technology, Policy and Management
HUMAN AND SYSTEMS ENGINEERING:
SOS 510 Perspectives on Sustainability Chuck Redman Oct. 29, 2018
Introduction to Artificial Intelligence Instructor: Dr. Eduardo Urbina
The Barcelona Supercomputing Center
Presentation transcript:

Center for Resilient Infrastructures, Systems, and Processes (CRISP) Saurabh Bagchi, Milind Kulkarni, Jitesh Panchal, Felix Lin, Srinivas Peeta, Gesualdo Scutari https://www.purdue.edu/crisp

Focus Area: Scientific Foundations of Resilient Socio-Technical Systems Faculty Lead: Jitesh Panchal; Participating faculty: Saurabh Bagchi, Srini Peeta, Gesualdo Scutari How can socio-technical systems be effectively engineered, where decision makers are part of the system, individual decisions affect the system performance, and system performance can be affected by incentive-design. Large-scale data analytics (modeling) Data Processing (optimization and algorithms) Algorithms resilient to network failures, data failures Techniques for modeling the evolutionary dynamics of complex networked systems (e.g., air transportation system) in terms of node-level decisions; Mechanisms for designing crowdsourcing contests for engineering problems; Cyber-physical infrastructure for creative design and making of cyber-physical products. New parsimonious optimization (matrix/tensor) models for BigData Analytics Parallel, asynchronous, robust, online algorithms based on successive convex approximation methods Distributed multi-agent optimization/processing over (random/time varying) networks Technical Approach: Current Operational Capability: Bridging machine learning and multiagent optimization: first distributed models and architectures with guarantees for in-network nonconvex big-data analytics Interdisciplinary contributions to signal processing, game theory, multi-agent optimization, parallel computing Application domains demonstrated on: Systems engineering, innovation ecosystems, air transportation systems, energy systems. Collaborative capabilities: CS (Atallah), AAE (DeLaurentis), Psychology (Helie), Management (Kannan), ME (Ramani) Discrete choice models Systems Science Complex network analysis Game-theoretic models Behavioral economics Contest theory Statistical analysis & Inferences Experiments & Natural Data Theory