This document lists 30 research topics that received MURI (Multidisciplinary University Research Initiative) funding. Each topic includes the lead research institution, participating institutions, and the principal investigator. The topics cover a wide range of scientific areas including optics, autonomous systems, biofuels, polymers, computer vision, and more. The projects involve collaboration between universities, with some including international partners, to conduct fundamental research.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
Embracing GenAI - A Strategic ImperativePeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
Power-sharing Class 10 is a vital aspect of democratic governance. It refers to the distribution of power among different organs of government, levels of government, and social groups. This ensures that no single entity can control all aspects of governance, promoting stability and unity in a diverse society.
For more information, visit-www.vavaclasses.com
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
Solid waste management & Types of Basic civil Engineering notes by DJ Sir.pptxDenish Jangid
Solid waste management & Types of Basic civil Engineering notes by DJ Sir
Types of SWM
Liquid wastes
Gaseous wastes
Solid wastes.
CLASSIFICATION OF SOLID WASTE:
Based on their sources of origin
Based on physical nature
SYSTEMS FOR SOLID WASTE MANAGEMENT:
METHODS FOR DISPOSAL OF THE SOLID WASTE:
OPEN DUMPS:
LANDFILLS:
Sanitary landfills
COMPOSTING
Different stages of composting
VERMICOMPOSTING:
Vermicomposting process:
Encapsulation:
Incineration
MANAGEMENT OF SOLID WASTE:
Refuse
Reuse
Recycle
Reduce
FACTORS AFFECTING SOLID WASTE MANAGEMENT:
TESDA TM1 REVIEWER FOR NATIONAL ASSESSMENT WRITTEN AND ORAL QUESTIONS WITH A...
FY 2010 MULTIDISCIPLINARY UNIVERSITY RESEARCH INITIATIVE (MURI) – SELECTED PROJECTS
1. FY 2010 MULTIDISCIPLINARY UNIVERSITY RESEARCH INITIATIVE (MURI) – SELECTED PROJECTS
Page 1 of 7
MURI Topic 1: Optical Metamaterials
ONR Large-Area 3D Optical University of Pennsylvania Nader Engheta PA
Metamaterials with Tunability and Harvard University MA
Low Loss Northeastern University MA
Purdue University IN
University of Texas, Austin TX
MURI Topic 2: Adaptive Cognitive Maps for Autonomous Systems
ONR Grid Cells and Cognitive Maps for Boston University Michael Hasselmo MA
Autonomous Systems Massachusetts Institute of Technology MA
University of Texas, Austin TX
University of London2
MURI Topic 3: Non-linear Mediums Converting Frequencies of Propagating E/M and Pressure Waves
ONR Sound and Electromagnetic North Carolina State University Michael Steer NC
Interacting Waves Colorado School of Mines CO
Georgia Institute of Technology GA
Purdue University IN
MURI Topic 4: Biofuels: Microbial Communities, Biogeochemistry and Surface Interactions
ONR Fundamental Research on the University of Oklahoma Joseph Suflita OK
Biological Stability of Future Naval Oklahoma State University OK
Fuels and Implications for the Montana State University MT
Biocorrosion of Metallic Surfaces Colorado School of Mines CO
MURI Topic 5: Design, Synthesis, and Characterization of Electro-Active Polymers for Dielectric Energy Storage
1. Team member institutions are those included in the lead institution’s research proposal. They are subject to change at the discretion of the
lead institution (e.g., if the final negotiated amount of the award is less than the amount proposed).
2. A non-US team member institution is identified in the lead institution's proposal. No MURI funding will be provided to the non-US institution.
2. ONR Rational Design of Advanced University of Connecticut Rampi Ramprasad CT
Polymeric Capacitor Films Rensselaer Polytechnic Institute NY
Pennsylvania State University PA
Columbia University NY
University of Akron OH
MURI Topic 6: Reasoning for Image Understanding in Uncertain Environments
ONR Rich Representations with Carnegie Mellon University Martial Hebert PA
Exposed Semantics for Deep University of Maryland, College Park MD
Visual Reasonings University of Illinois, Urbana-Champaign IL
University of Pennsylvania PA
ONR Knowledge Representation, University of California, Los Angeles Song-Chun Zhu CA
Reasoning and Learning for University of California, Irvine CA
Understanding Scenes and Events University of California, Berkeley CA
California Institute of Technology CA
Stanford University CA
Brown University RI
Massachusetts Institute of Technology MA
MURI Topic 7: Fundamental Study of High – and Low-K Dielectrics for III-V Electronic Devices
ONR Dielectric Enhancements for University of California, Santa Barbara Umesh K. Mishra CA
Innovative Electronics Arizona State University AZ
Harvard University MA
Massachusetts Institute of Technology MA
Ohio State University OH
Stanford University CA
Yale University CT
1. Team member institutions are those included in the lead institution’s research proposal. They are subject to change at the discretion of the
lead institution (e.g., if the final negotiated amount of the award is less than the amount proposed).
2. A non-US team member institution is identified in the lead institution's proposal. No MURI funding will be provided to the non-US institution.
3. MURI Topic 8: Provably-Safe Perception-Based Control of Autonomous UAS Operations around Complex, Unstructured Terrain
ONR Animal Inspired Robust Flight with University of Washington Kristi Morgansen WA
Outer and Inner Loop Strategies University of Maryland, College Park MD
Boston University MA
University of North Carolina, Chapel Hill NC
ONR Provably-Stable Vision-Based Massachusetts Institute of Technology Russ Tedrake MA
Control of High-Speed Flight Carnegie Mellon University PA
through Forests and Urban New York University NY
Environments Harvard University MA
Wageningan (Netherlands)2
MURI Topic 9: Dynamical Systems Theory in 4D Geophysical Fluid Dynamics
ONR Dynamical Systems Theory and Woods Hole Oceanographic Institution Larry Pratt MA
Lagrangian Data Assimilation in 4D Columbia University NY
Geophysical Fluid Dynamics University of California, Santa Barbara CA
Marquette University WV
University of North Carolina, Chapel Hill NC
University of California, San Diego CA
University of Miami FL
University of Delaware DE
MURI Topic 10: Hyperspectral, Radar and EO/IR Signatures in the Littorals
ONR Remote Sensing and Data- University of Washington Andrew Jessup WA
Assimilative Modeling in the Oregon State University OR
Littorals Woods Hole Oceanographic Institution MA
MURI Topic 11: Novel Catalytic Mechanisms for the Chemical Reduction of Carbon Dioxide to Energy-Dense Liquids
Novel Catalytic Mechanisms for University of California, San Diego Clifford Kubiak CA
AFOSR the Chemical Reduction of Carbon California Institute of Technology CA
Dioxide to Energy-Dense Liquids Stanford University CA
Princeton University NJ
1. Team member institutions are those included in the lead institution’s research proposal. They are subject to change at the discretion of the
lead institution (e.g., if the final negotiated amount of the award is less than the amount proposed).
2. A non-US team member institution is identified in the lead institution's proposal. No MURI funding will be provided to the non-US institution.
4. MURI Topic 12: Third-order Nonlinear Optical Organics
AFOSR Center for Organic Materials for All Georgia Institute of Technology Seth Marder GA
Optical Switching University of Washington WA
University of Arizona AZ
University of Central Florida FL
MURI Topic 13: Fundamental Processes in High Temperature Gas-Surface Interactions
AFOSR Fundamental Processes in High- University of Minnesota Graham V. Candler MN
Temperature Hypersonic Flows Pennsylvania State University PA
Montana State University MT
University of Arizona AZ
University at Buffalo, the State University of New NY
York
MURI Topic 14: Propagation of Ultrashort Laser Pulses Through Transparent
AFOSR Mathematical Modeling and University of Arizona Jerome Maloney AZ
Experimental Validation of University of Colorado CO
Ultrafast Nonlinear Light-Matter Cornell University NY
Coupling Associated with Temple University DC
Filamentation in Transparent University of Central Florida FL
Media Colorado School of Mines CO
MURI Topic 15: Superconducting Semiconductors
Quantum Preservation, Simulation University of Pittsburgh Jeremy Levy PA
& Transfer in Oxide University of California, Santa Barbara CA
Nanostructures University of Wisconsin, Madison WI
AFOSR
Cornell University NY
Michigan State University MI
MURI Topic 16: Human-Machine Adversarial Networks
1. Team member institutions are those included in the lead institution’s research proposal. They are subject to change at the discretion of the
lead institution (e.g., if the final negotiated amount of the award is less than the amount proposed).
2. A non-US team member institution is identified in the lead institution's proposal. No MURI funding will be provided to the non-US institution.
5. AFOSR Multi-Layers and Multi-Resolution University of Illinois, Urbana-Champaign Tamar Basar Il
Networks of Interacting Agents in Georgia Institute of Technology GA
Adversarial Environments Stanford University CA
University of California, Berkeley CA
University of Maryland, College Park MD
MURI Topic 17: Biologically-Engineering of Adherent / Spectroscopically Interrogated Microstructures
AFOSR Bio-enabled Particle Adherents for Georgia Institute of Technology C. Meredith GA
Interrogated Spectroscopy University of Arizona AZ
University of California, San Diego CA
Norfolk State University VA
MURI Topic 18: Control of Information Collection and Fusion
AFOSR Control Science for Next University of Pennsylvania Daniel Koditschek PA
Generation Sensing University of California, Berkeley CA
University of Minnesota MN
University of Melbourne (Australia)2
MURI Topic 19: Stable Metrics for Global Inference in Social Networks to Predict Collective Behavior
AFOSR Inferring Structure and Forecasting University of California, Los Angeles P. Jeffrey CA
Dynamics on Evolving Networks University of Arizona Brantingham AZ
University of Southern California CA
University of California, Santa Barbara CA
University of California, Irvine CA
Claremont Graduate University CA
MURI Topic 20: Solid State Cooling
AFOSR Cryogenic Peltier Cooling Ohio State University Joseph P. Heremans OH
Princeton University NJ
Massachusetts Institute of Technology MA
Michigan State University MI
Boston College MA
California Institute of Technology CA
1. Team member institutions are those included in the lead institution’s research proposal. They are subject to change at the discretion of the
lead institution (e.g., if the final negotiated amount of the award is less than the amount proposed).
2. A non-US team member institution is identified in the lead institution's proposal. No MURI funding will be provided to the non-US institution.
6. Aarhus University (Denmark)2
Kharkov Stat Polytechnic U (Ukraine)2
Dresden (Germany)2
University of Science and Technology (Poland)2
MURI Topic 21: Neuronal Behavior in Primary Blast
ARO Blast Induced Thresholds for University of Pennsylvania David F. Meany PA
Neuronal Networks Columbia University NY
Duke University NC
MURI Topic 22: Identifying and Extracting the Mathematical Signatures of Prokaryotic Activity in DNA: Developing a Theoretical
Foundation for Predicting DNA Stability
ARO Prokaryotic Genomic Instability Indiana University Pat Foster IN
University of Southern California CA
MURI Topic 23: Tomography of Social Networks of Asymmetric Adversaries
ARO Measuring, Understanding, and Harvard University Patrick J. Wolfe MA
Responding to Covert Social Princeton University NJ
Networks Massachusetts Institute of Technology MA
University of Florida FL
Northeastern University MA
MURI Topic 24: Adaptive Perception and Autonomous Agility in Severe Environments
ARO Neuro-Inspired Adaptive Georgia Institute of Technology Panagiotis Tsiotras GA
Perception and Control for Agile Massachusetts Institute of Technology MA
Mobility of Autonomous Vehicles University of Southern California CA
in Uncertain and Hostile
Environments
MURI Topic 25: Structured Modeling for Low-Density Languages
ARO An Omnivorous Framework for Carnegie Mellon University Jaime Carbonell PA
Translation and Analysis of Low University of Southern California CA
Density Languages University of Texas, Austin TX
Massachusetts Institute of Technology MA
1. Team member institutions are those included in the lead institution’s research proposal. They are subject to change at the discretion of the
lead institution (e.g., if the final negotiated amount of the award is less than the amount proposed).
2. A non-US team member institution is identified in the lead institution's proposal. No MURI funding will be provided to the non-US institution.
7. MURI Topic 26: Directed Self-Assembly of Reconfigurable Materials
ARO Reconfigurable Matter form University of Michigan Sharon Glotzer MI
Programmable Colloids University of Illinois, Urbana-Champaign IL
New York University NY
MURI Topic 27: “Atomtronics”: A generalized electronics
ARO Atomtronics: Material and Device University of Maryland, College Park Ian Spielman MD
Physics of Quantum Gases Harvard University MA
Bucknell University PA
Massachusetts Institute of Technology MA
MURI Topic 28: Bio-Electronic Templates for Interfacing to the Nanoscale
ARO Near and Far-Field Interfaces to University of California, Irvine Peter Burke CA
DNA-Guided Nanostructures from Texas A&M TX
RF to Lightwave: Exploiting the New York University-POLY NY
Spectrum University of Michigan MI
University of California, Irvine CA
New York University NY
University of Pennsylvania PA
Marshall University WV
Yale University CT
Wright State University OH
MURI Topic 29: Ion Transport in Complex Heterogeneous Organic Materials
ARO An Integrated Multi-Scale Colorado School of Mines Andrew Herring CO
Approach for Understanding Ion University of Chicago IL
Transport in Complex University of Massachusetts, Amherst MA
Heterogeneous Organic Materials University of California, Riverside CA
MURI Topic 30: Defect Reduction in Superlattice Materials
ARO Fundamental Study of Defects and University of Illinois, Urbana-Champaign Shun Lien Chuang IL
their Reduction in Type-II Arizona State University AZ
Superlattice Materials Georgia Institute of Technology GA
University of North Carolina, Charlotte NC
1. Team member institutions are those included in the lead institution’s research proposal. They are subject to change at the discretion of the
lead institution (e.g., if the final negotiated amount of the award is less than the amount proposed).
2. A non-US team member institution is identified in the lead institution's proposal. No MURI funding will be provided to the non-US institution.
8. 1. Team member institutions are those included in the lead institution’s research proposal. They are subject to change at the discretion of the
lead institution (e.g., if the final negotiated amount of the award is less than the amount proposed).
2. A non-US team member institution is identified in the lead institution's proposal. No MURI funding will be provided to the non-US institution.