Calls for Proposals & Funded Projects


Pilot Research Proposal Deadlines
Unit LOI Proposal Selection
Biochemistry 11/1/19 (2) 12/20/19 Spies, Schnieders
College of Education Targeted PIs (1) 3/27/20 Estapa-King
College of Engineering 2/20/20 (5) 3/21/20 Mantilla-Xiao, Lim-Baek, Nickl-Baek
CLAS 10/1/19  (3) 11/15/19 DeRoo, Nithyanand
HCCC 11/1/19 (4) 12/20/19 Cornell, Kim, Park
Psychiatry 8/15/19   (3) 9/23/19 Chan, Niciu
Radiology 10/1/19   (6) 11/15/19 Laroia A, Bathla, Priya, Kandemirli
Tippie College of Business 10/1/19   (3) 11/15/19 Vasi
IPRC-CPH 2/14/20 (2) 5/1/20 Galet, Merrill
Carver College of Medicine 5/15/20 (8) 6/1/20 Anderson, Chimenti, Gonzalez Bosquet, Lenert-Sato, Galizia, Ortega
COVID-19 (1)   Engineering - Xu-Mudumbai

CFP - see the linked information for submission info

    • Carver College of Medicine (CCoM) CFP​
      • (Proposals being reviewed)
    • CCoM Departments and Units
      • Biochemistry - CFP
        • (closed, 2 projects selected)
      • Psychiatry - CFP 
        • (closed, 2 projects selected)
      • Holden Comprehensive Cancer Center - CFP 
        • (closed, 3 projects selected)
      • Radiology - CFP 
        • (closed, 4 projects selected)
    • College of Education - CFP sent to a targeted subgroup
      • (closed, 1 2-year project selected)
      College of Engineering - CFP 
      • (closed, 3 projects selected)
    • College of Liberal Arts and Sciences - CFP 
      • (closed, 2 projects selected)
    • Tippie College of Business - CFP
      • (closed, 1 project selected)
    • Injury Prevention Research Center - College of Public Health - CFP
      • ​​(closed, 2 projects selected)
    • COVID-19
      • (contact prior to proposal submission, 1 project selected)

    Projects selected for funding after internal competition

    Psychiatry (10/15/19):

    1. Aubrey Chan - Basolateral amygdala circuits in defensive behavior regulation

    2. Mark Niciu - ​Molecular Antidepressant Signatures from Single Cell Transcriptomics in Human Induced Pluripotent Stem Cell-derived Human Cortical Spheroids

    Radiology (12/2/19):

    1. Girish Bathla - Using Neural Networks To Derive Volume of Ischemic Core and Hypo-perfused Brain Tissue Using Computed Tomography Perfusion And Brain Datasets

    2. Sedat Kandemirli - Automatic Segmentation and Volume Calculation of Intracranial Ventricular System on Computed Tomography

    3. Archana Laroia - Pneumothorax Detection in Chest X-rays using Deep Neural Networks

    4. Sarv Priya - Lesion Segmentation and Use of Multiparametric deep learning-based radiomics model for differentiating between glioblastoma, primary CNS lymphoma and brain metastasis on magnetic resonance imaging

    Tippie (12/3/19):

    1. Bodi Vasi - Developing New Measures for Research on Impression Management

    CLAS (12/3/19):

    1. Casey T. DeRoo  - Automated Searches of X-ray Data for the Earliest Black Holes

    2. Rishab Nithyanand, Brian Ekdale, Timothy Havens  - Algorithmic Personalization and Online Radicalization

    Biochemistry (1/27/20):

    1. Maria Spies - G4TIRFM: a platform for massively parallel analysis of DNA G-quadruplexes

    2. Michael Schnieders - Protein Structure Prediction by Combining Deep Learning with Physics-Based Simulations using the Force Field X Software

    Holden Comprehensive Cancer Center (2/5/20):

    1. Robert Cornell - Predicting effects of Noncoding Variants associated with Breast Cancer Susceptibility using Machine Learning

    2. Yusung Kim - Validation of predicted tumor recurrence lesions of deep learning-segmentation based prognostication (DESEP) model

    3. Jinha Park - Radiomic features of CT images of malignant melanoma tumors predict responses to checkpoint inhibition and immune activation

    College of Engineering (4/15/20):

    1. Shaoping Xiao & Ricardo Mantilla: e-Learning-Based Flood Forecasting and Control

    2. Tae-Hong Lim & Stephen Baek: Discovery of the Spinal Musculoskeletal Mechanism for the Lumbar Stabilization using Bayesian Graph Convolutional Neural Networks

    3. Thomas Nickl-Jockschat & Stephen Baek: Gene expression-driven brain parcellation via manifold convolutional neural networks

    College of Education (4/2/20):

    1. Anne Estapa & Seth King: Immersive Virtual Mathematics Education for Teachers of Children with ASD (Project VIME)

    COVID-19 (5/2/20):

    1. Weiyu Xu & Raghu Mudumbai (C. of Engineering): High-Throughput and Low-Cost Testing of COVID-19 Viruses and Antibodies through Artificial Intelligence for Compressed Sensing

    Injury Prevention Research Center - College of Public Health (7/1/20):

    1. Colette Galet, Dionne Skeete,Kathleen Romanowski: Identification of a signature predictive of fall injury and 30-day readmission for a fall in an elderly patient cohort

    2. Anna Merrill, Juan Pablo Hourcade, Brandi Janssen, Heath Davis, Ryan Carnahan: Identifying Risk Factors to Predict Adverse Outcomes Related to Substance Use

    Carver College of Medicine (7/1/20):

    1. Don Anderson, Geb Thomas, Stephen Baek, Matt Karam:Utilizing AI/ML approaches to assess surgical performance and provide virtual coaching 

    2. Michael Chimenti, Diana Kolbe, Ryan Thorpe, Richard Smith: ML classification of copy number variations from targeted sequencing of the STRC gene

    3. Jesus Gonzalez Bosquet, Xiaodong Wu, Hui Xie, Douglas Russo, Maheen Rajput: Prediction of pelvic mass malignancy on CT scan using AI

    4. Takashi Shawn P. Sato, Aleksander Lenert: Machine Learning for Predicting the Development of Damage and Lesion Distribution Patterns on Whole Body MRI in Children with Chronic Recurrent Multifocal Osteomyelitis

    5. Mauricio S. Galizia, Prashant Nagpal, Brian Mullan, Archana Laroia:Prediction Of Pulmonary Embolism By Dual-Energy Ct Blood Pool Imaging Using An Artificial Intelligence Algorithm

    6. Santiago Ortega Gutierre, Brian Smith, Andres Dajles, Mudassir Farooqui: Using Machine Learning Algorithms To Predict Final Infarct Volume And Functional Outcomes Based On Brain Collateral Patterns, Clinical Features And Time+Degree Of Recanalization

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