IAFSE-SCAI Departments

Projects

Projects per year 1987 2008 2009 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2028

• 1 Not started
• 166 Active
• 1241 Finished

Projects per year

Search results

• Active

  Reasoning About Machine Learning (RAML)

  Shakarian, P.

  DOD-ARMY: Army Materiel Command (AMC)

  10/16/23 → 10/15/25

  Project: Research project

  • Machine learning 100%
  • Learning systems 29%
  • Formal logic 14%
  • System of systems 12%
  • Image recognition 11%

• TRAIL - Threshold Learning for IR-Based Attitude Estimation using ML

  Yang, Y.

  INDUSTRY: Foreign Company

  10/15/23 → 2/29/24

  Project: Research project

  • Cameras 100%

• Conference: NSF CICI Principal Investigator Meeting

  Shoshitaishvili, Y., Ahn, G., Forrest, S., Trieu, N. & Wang, F.

  National Science Foundation (NSF)

  10/1/23 → 9/30/24

  Project: Research project

• IUCRC Phase II Arizona State University: Center for Accelerated Real Time Analytics (CARTA)

  Ren, F. & Zhao, M.

  National Science Foundation (NSF)

  10/1/23 → 9/30/28

  Project: Research project

  • Students 100%
  • Edge computing 83%
  • Computer hardware 79%
  • Industry 73%
  • Engineers 70%

• Bayesian Optimization for Automatic Reactor Design Optimization

  Wang, A. & Yan, H.

  DOE: Headquarters

  10/1/23 → 9/30/26

  Project: Research project

  • Physics 100%
  • Nuclear reactors 50%
  • Size determination 36%
  • Data Science 31%
  • Uncertainty 28%

• Proto-OKN Theme 1 - Supply and Demand Open Knowledge Network (SUDOKN)

  Bansal, S., Ameri, F., Starly, B. & Ko, H.

  National Science Foundation (NSF)

  10/1/23 → 9/30/26

  Project: Research project

• Building Logic-tuned Models - Logic and Reasoning in NL Models

  Baral, C.

  Silicon Valley Community Foundation

  10/1/23 → 9/30/24

  Project: Research project

  • Logic 100%
  • Language Model 81%
  • Generative 58%
  • Natural Language 55%

• RxCRS: Reliable and eXplainable Cyber Reasoning System for Digital Health Security

  Bao, T., Shoshitaishvili, Y., Doupé, A., Trieu, N., Wang, F., Nguyen, D., Buetow, K. & Forrest, S.

  HHS-NIH: Advanced Research Projects Agency for Health (ARPA-H)

  9/30/23 → 9/29/25

  Project: Research project

  • Health 100%

• Center of Excellence in Future Generation Wireless Technology (FutureG)

  Bliss, D., LiKamWa, R., Zhang, Y., Papandreou-Suppappola, A., Chakrabarti, C. & Xue, G.

  DOD-ARMY: Army Materiel Command (AMC)

  9/22/23 → 9/21/28

  Project: Research project

  • Augmented reality 100%
  • System-on-chip 97%
  • Radar 96%
  • Machine learning 88%
  • Intelligent networks 63%

• PFI-TT: Broadening Real-Time Continuous Traffic Analysis on the Roadside using AI-Powered Smart Cameras

  Yang, Y.

  National Science Foundation (NSF)

  9/1/23 → 8/31/25

  Project: Research project

  • Roadsides 100%
  • Cameras 57%

• Collaborative Research: Multi-Agent Adaptive Data Collection for Automated Post-Disaster Rapid Damage Assessment

  Yan, H.

  National Science Foundation (NSF)

  9/1/23 → 8/31/26

  Project: Research project

  • Disasters 100%
  • Students 33%
  • Sampling 21%
  • Population Density 18%
  • Critical infrastructures 18%

• Ensuring Logical Robustness in Generative Natural Language Systems

  Baral, C.

  INDUSTRY: Domestic Company

  9/1/23 → 8/31/24

  Project: Research project

• URoL:ASC: What rules of life allow collectives to effectively manage risk? Understanding the rules underlying risk management across systems to increase societal resilience

  Pavlic, T., Fewell, J., Roschke, K., Aktipis, A. & Pilarski, N.

  National Science Foundation (NSF)

  9/1/23 → 8/31/26

  Project: Research project

  • risk management 100%
  • resilience 83%
  • museum 19%
  • uncertainty 10%
  • society 9%

• Risk-Based Approach to Operations Excellence Work

  Pan, R.

  Los Alamos National Laboratory (LANL)

  9/1/23 → 8/31/24

  Project: Research project

• SoS Research Interest Area: Cyber Applications of Machine Learning (ML)Leveraging Machine Learning for Binary Software Understanding

  Doupé, A., Baral, C. & Shoshitaishvili, Y.

  DOD: National Security Agency (NSA)

  8/31/23 → 8/30/24

  Project: Research project

  • Machine learning 100%
  • Caves 48%
  • Engineers 47%
  • Semantics 46%
  • Binary codes 42%

• Synthetic Team Training and Evaluation Environment

  Gary, K., LiKamWa, R., Gorman, J. & Craig, S.

  US Department of Defense (DOD)

  8/28/23 → 8/27/27

  Project: Research project

  • Costs 100%
  • Feedback 82%
  • Industry 80%
  • Facsimile 70%
  • Military applications 61%

• Using LLMs to address cancer related NLP challenges

  Baral, C.

  Mayo Clinic Arizona

  8/21/23 → 8/20/24

  Project: Research project

  • Natural language processing systems 100%

• Workshop on Metacognitive Prediction of AI Behavior

  Shakarian, P.

  DOD-ARMY: Army Materiel Command (AMC)

  8/17/23 → 4/16/24

  Project: Research project

  • Reinforcement learning 100%
  • Robotics 75%
  • Machine learning 73%
  • Mechanical engineering 55%
  • Taxonomies 52%

• POSE: Phase II: CONNECT: Consortium of Open-source plaNNing models for Next-generation Equitable and efficient Communities and Transportation

  Yang, Y., Li, W., Zhou, X. & Shrivastava, A.

  National Science Foundation (NSF)

  8/15/23 → 7/31/25

  Project: Research project

  • planning 100%
  • transportation system 81%
  • modeling 67%
  • ecosystem 31%
  • walking 29%

• Elements: CausalBench: A Cyberinfrastructure for Causal-Learning Benchmarking for Efficacy, Reproducibility, and Scientific Collaboration

  Liu, H. & Candan, K.

  National Science Foundation (NSF)

  7/1/23 → 6/30/26

  Project: Research project

  • Benchmarking 100%
  • Machine learning 50%
  • Drought 20%
  • Students 20%
  • Epidemiology 19%

• Arizona Alzheimer's Consortium (AAC) FY24 Match Projects

  Wilson, M., Brafman, D., Stabenfeldt, S., Sharp, N., Wang, Y., Sierks, M., Coon, D., Verpeut, J., Bimonte-Nelson, H., Schaefer, S., Guest, A., Conrad, C., Pohl, J., Bowman, D., Yeom, D. J. & Belgrave, M.

  Arizona Department of Health Services

  7/1/23 → 6/30/24

  Project: Research project

  • project 100%

• Machine Learning and Artificial Intelligence in Alzheimers Research

  Li, B. & Wu, T.

  Arizona Alzheimer's Consortium

  7/1/23 → 6/30/24

  Project: Research project

  • Artificial intelligence 100%
  • Machine learning 83%
  • Imaging techniques 43%

• Adaptive Self-Supervised Contrastive Learning for Tumor Detection and Treatment Evaluation

  Yang, Y.

  ASU: Mayo Seed Grant

  7/1/23 → 6/30/24

  Project: Research project

  • Supervised learning 100%
  • Tumors 96%

• Automating data extraction from electronic health records and reasoning to assist treatment decision-making for prostate cancer

  Baral, C.

  ASU: Mayo Seed Grant

  7/1/23 → 6/30/24

  Project: Research project

  • Health 100%
  • Decision making 98%

• Assessing Cyber Training by Cyber Operation Mistakes

  Bao, T. & Wang, F.

  DOD-NAVY: Office of Naval Research (ONR)

  7/1/23 → 6/30/26

  Project: Research project

  • Operator 100%
  • Threat 31%
  • Cognitive Processes 31%
  • Critical Infrastructure 19%
  • Cyberspace 18%

• STC MADE: Printing Optimization for Large Scale Additive Manufacturing

  Ju, F.

  INDUSTRY: Domestic Company

  7/1/23 → 6/30/25

  Project: Research project

  • 3D printers 100%
  • Temperature 28%
  • Hot Temperature 19%
  • Feedback control 13%
  • Testing 13%

• Relational Abstractions for Transfer Reinforcement Learning

  Srivastava, S.

  INDUSTRY: Domestic Company

  6/27/23 → 12/20/23

  Project: Research project

  • Reinforcement learning 100%
  • Decision making 72%

• Hidden ActivitY Signal and Trajectory Anomaly Characterization (HAYSTAC)

  Shakarian, P.

  ODNI: Intelligence Advanced Research Projects Activity (IARPA)

  6/21/23 → 4/13/27

  Project: Research project

  • Trajectories 100%
  • Anomaly detection 37%
  • Scalability 19%
  • Costs 18%
  • Integration testing 17%

• Engendering & Leveraging Trust in LongitudinalHuman-AI Interactions

  Kambhampati, S.

  DOD-NAVY: Office of Naval Research (ONR)

  6/1/23 → 5/31/26

  Project: Research project

  • Decision making 100%
  • Electric grounding 98%
  • Decision support systems 47%
  • Large scale systems 39%
  • Uncertainty 28%

• AF: Medium: Concurrency and Adaptive Self-Organization in Anonymous Dynamic Networks

  Richa, A. & Daymude, J.

  National Science Foundation (NSF)

  6/1/23 → 5/31/26

  Project: Research project

  • Distributed computer systems 100%
  • Message passing 50%
  • Concurrency control 31%
  • Positive ions 29%
  • Network theory (graphs) 29%

• Computer Vision for Safer Communities - Revision - 1

  Ben Amor, H.

  INDUSTRY: Domestic Company

  6/1/23 → 12/31/24

  Project: Research project

  • artificial intelligence 100%
  • personalization 55%
  • Open Sources 51%
  • salary 49%
  • mentoring 45%

• A Compilation Framework for Accelerating Machine Learning Inference Queries

  Zou, J.

  INDUSTRY: Domestic Company

  5/1/23 → 4/30/24

  Project: Research project

  • Machine learning 100%
  • Tensors 60%
  • Algebra 47%
  • Mathematical operators 24%
  • Banking 8%

• STC MADE: Transferable Agent Learning using Neuro Symbolic Methods

  Shakarian, P.

  INDUSTRY: Domestic Company

  5/1/23 → 4/30/25

  Project: Research project

  • Managers 100%
  • Tensors 69%
  • Industry 50%
  • Simulators 50%
  • Reinforcement learning 46%

• Reasoning about Global Supply Networks

  Shakarian, P.

  DOD-NAVY: Office of Naval Research (ONR)

  5/1/23 → 4/30/26

  Project: Research project

  • Macros 100%
  • Temporal logic 86%
  • Supply chains 72%
  • Strategic planning 47%
  • Time series analysis 45%

• SaTC: CORE: Medium: Symbolizing Viability: Paving the Road to Practical Symbolic Execution

  Bao, T. & Shoshitaishvili, Y.

  National Science Foundation (NSF)

  5/1/23 → 4/30/27

  Project: Research project

  • Security of data 100%
  • Scalability 85%
  • Concretes 71%

• STC PERFORM: CAESER continuous mobile CAD risk assessment technology

  Gupta, S. & Banerjee, A.

  Mayo Clinic Arizona

  5/1/23 → 4/30/25

  Project: Research project

  • Risk assessment 100%
  • Electrocardiography 40%
  • Angiography 20%
  • Productivity 16%
  • Economics 9%

• SCC-PG: Getting the Edge on Data-Driven Self-Managed Care: A focus on Older Veterans in Arizona

  Chiou, E., Coon, D., Roberts, N., Zhao, M. & Yang, Y.

  National Science Foundation (NSF)

  5/1/23 → 4/30/24

  Project: Research project

  • Internet of things 100%
  • Health 65%
  • Edge computing 18%
  • Data integration 16%
  • Lead 13%

• Adaptive Training and Education for Adaptive AI Systems

  Srivastava, S.

  DOD-NAVY: Office of Naval Research (ONR)

  5/1/23 → 4/30/26

  Project: Research project

  • Adaptive systems 100%
  • Education 77%
  • Pipelines 13%
  • Industry 7%

• IUCRC Phase I Arizona State University: Center for Intelligent, Distributed, Embedded, Applications and Systems (IDEAS)

  Vrudhula, S.

  National Science Foundation (NSF)

  3/15/23 → 2/29/28

  Project: Research project

  • Students 100%
  • Internet 65%
  • Industry 58%
  • Embedded systems 35%
  • Education 32%

• Next Generation Machine Learning Platform for Advanced Vulnerability Analysis and Reverse Engineering

  Bao, T., Doupé, A. & Shoshitaishvili, Y.

  DOD-ARMY-ARL: Army Research Office (ARO)

  2/1/23 → 1/31/24

  Project: Research project

  • Reverse engineering 100%
  • Graphics processing unit 81%
  • Machine learning 64%
  • Natural language processing systems 21%
  • Data storage equipment 21%

• Proposal A: Point Cloud Panoptic Segmentation

  Ren, F.

  DOD-ARMY: Army Materiel Command (AMC)

  2/1/23 → 8/31/24

  Project: Research project

  • Image segmentation 100%
  • Photogrammetry 87%
  • Computer vision 59%
  • Robotics 53%
  • Software packages 34%

• Novel Analytical and Visual Analytics Components for Resilient Supply-Demand Networks (RSDN)

  Maciejewski, R.

  DOD: Defense Advanced Research Projects Agency (DARPA)

  1/24/23 → 7/26/24

  Project: Research project

  • Visualization 100%
  • Supply chains 63%
  • Electric inductors 40%
  • Anomaly detection 33%
  • Compliance 28%

• Advanced Firmware Scanning for Residential IoT Devices

  Shoshitaishvili, Y.

  INDUSTRY: Domestic Company

  1/2/23 → 1/1/25

  Project: Research project

  • graduate students 100%
  • prototypes 34%

• Explainable and Agile AI Hardware/Software Optimization with AI

  Shrivastava, A.

  SRCCO Inc.

  1/1/23 → 12/31/25

  Project: Research project

  • Computer hardware 100%
  • Hardware-software codesign 77%
  • Particle accelerators 35%
  • Dynamic mechanical analysis 18%
  • Costs 17%

• CICI: TCR: Improving the Robustness of Cyberinfrastructure via Scalable Vulnerability Discovery and Mitigation on "Big Binaries"

  Shoshitaishvili, Y. & Wang, F.

  National Science Foundation (NSF)

  1/1/23 → 12/31/25

  Project: Research project

  • Scalability 100%

• PIRE: Building Decarbonization via AI-empowered District Heat Pump Systems

  Wu, T. & Candan, K.

  National Science Foundation (NSF)

  1/1/23 → 12/31/25

  Project: Research project

  • Decarbonization 100%
  • Heat pump systems 85%
  • Infrared imaging 27%
  • Fault detection 21%
  • Failure analysis 20%

• III: SMALL: Graph Contrastive Learning for Few-shot Node Classification

  Liu, H.

  National Science Foundation (NSF)

  1/1/23 → 12/31/25

  Project: Research project

  • Labeled data 100%
  • Technical presentations 70%
  • Students 63%
  • Machine learning 41%
  • Supervised learning 30%

• Southwest Urban Corridor Integrated Field Laboratory (SW-IFL)

  Vivoni, E., Hondula, D., Fraser, M., Georgescu, M., Vanos, J., Meerow, S., Mascaro, G., Morris, V., Sailor, D., Chester, M., Andino, J., Middel, A., Moustaoui, M., Pataki, D. & Solis, P.

  DOE: Office of Science (OS)

  12/15/22 → 12/14/23

  Project: Research project

  • corridor 100%
  • laboratory 55%
  • modeling 21%
  • monsoon 21%
  • biogenic emission 17%

• AFIT STAT COE

  Montgomery, D.

  DOD-USAF: Air Force Institute of Technology (AFIT)

  12/14/22 → 8/31/26

  Project: Research project

  • Design 100%
  • Confounding 71%
  • Testing 54%
  • Model Selection 51%
  • Main Effect 38%

• Deep Learning Based Data Registration and Part Characterization of Laser Powder Bed Fusion

  Ju, F.

  DOC: National Institute of Standards and Technology (NIST)

  12/1/22 → 11/30/24

  Project: Research project

  • Deep learning 100%
  • Characterization (materials science) 98%
  • Powders 90%
  • Fusion reactions 89%
  • Lasers 84%