Overview

  • Dr. Jiang Li received his Ph.D. degree in electrical engineering from the University of Texas at Arlington, TX, in 2004, the M.S. degree in automation from Tsinghua University, China, in 2000, and the B.S. degree in electrical engineering from Shanghai Jiaotong University, China, in 1992. Dr. Li worked as a postdoctoral fellow at the department of radiology, National Institutes of Health, from 2004 to 2006. He joined ODU as an assistant professor in Spring 2007.

    • Selected Publications

    Articles In Academic Journals

    Year Title
    2016 Detection of propeller scars in seagrass meadows using sparse coding and morphological filter.  Remote Sens. Env..
    2015 A robust deep model for improved classification of AD/MCI patients.  IEEE Journal of Biomedical and Health Informatics. 1610-1616.
    2015 High-speed image registration algorithm with subpixel accuracy.  IEEE Signal Processing Letters. 1796-1800.
    2014 Automated image-guided surgery for common and complex dental implants.  Journal of Medical Engineering & Technology. 251-259.
    2014 Fuzzy logic approach and sensitivity analysis for agent-based crowd injury modeling.  Simulation. 320-336.
    2013 A Vision-based Automatic Safe Landing-site Detection System.  IEEE Transactions on Aerospace and Electronic Systems. 294-311.
    2012 A Hierarchical Horizon Detection Algorithm.  IEEE Geoscience and Remote Sensing Letters. 111-114.
    2012 Combining Prostate Cancer Region Predictions from MALDI Spectra Processing and Texture Analysis.  Simulation. 1247-1259.
    2012 EOG Artifact Removal using a Wavelet Neural Network.  Neurocomputing. 374-389.
    2012 Mathematical Model Development of Super-resolution Image Wiener Restoration.  Optical Engineering. 037007.
    2011 A Large-Scale Manifold Learning Approach for Brain Tumor Progression Prediction.  Machine Learning in Medical Imaging, Lecture Notes in Computer Science. 265-272.
    2011 An Integrated Computer-Aided Robotic System for Dental Implantation.  The MIDAS Journal - Systems and Architectures for Computer Assisted Interventions 2011. Selected papers from the 14th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2011). 1-8.
    2011 Automated Dental Implantation Using Image-guided Robotics – Registration Results.  International Journal of Computer Assisted Radiology and Surgery. 627-634.
    2009 Colonic Polyp Detection and measurement using Topographical Height Map.  Pattern recognition.
    2009 Optimizing Automatic Colonic Polyp Detection by Evolving the Pareto Front.  Medical Physics.
    2009 Seasonal Adaptation of Vegetation Color in Satellite Images for Flight Simulations.  Journal of Intelligent Learning Systems and Applications.
    2008 An integrated growing-pruning method for feedforward network training.  Neurocomputing. 2831-2847.
    2008 Wavelet Method for CT Colonography Computer-aided Polyp Detection.  Medical Physics. 3527-3538.
    2007 Convergent Design of Piecewise Linear Neural Networks.  Neurocomputing. 1022-1039.
    2007 Exploration of Computational Methods for Classification of Movement Intention during Human Voluntary Movement from Single Trial EEG.  Neurophysiology. 2637-2655.
    2006 An Efficient Hidden Layer Training Method for Multilayer Perceptron.  Neurocomputing. 525-535.
    2006 An efficient feature selection algorithm for polyp detection in CAD system.  International Journal on Artificial Intelligence Tools. 893-915.
    2006 Feature Selection Using a Piecewise Linear Network.  IEEE Trans. on Neural Network. 1101-1115.
    2005 Effects of nonsingular pre-processing on feed-forward network training.  International Journal of Pattern Recognition and Artificial Intelligence. 217-247.
    2005 Iterative Design of Neural Network Classifiers through Regression.  International Journal on Artificial Intelligence Tools. 281-302.
    2005 Prototype Based Classifier Design with Pruning.  International Journal on Artificial Intelligence Tools. 261-280.
    2000 An Electrical DC Model for the Human's Skin Related Mood and its Experimental Method Research.  Chinese Journal of Behavioral Medical Science. 225-258.
    Prediciton of Brain Tumor Progression Using Multiple Histogram Matched MRI Scans.  SPIE Medical Imaging. 7.

    Conference Papers

    Year Title
    2017 A novel manifold learning for dimensionality reduction and classification with hyperspectral image
    2017 Deep Learning for Pulmonary Nodule CT Image Retrieval—An Online Assistance System for Novice Radiologists.  1112.
    2014 Detection of seagrass scars using sparse coding and morphological filter.  9 pp..
    2011 Prediction of Brain Tumor Progression using a Machine Learning Technique
    2010 Combining Prostate Cancer Region Predictions from MALDI Spectra Processing and Texture Analysis
    2010 EEG Artifact Removal Using A Wavelet Neural Network
    2010 Prediction of Brain Tumor Progression using a Machine Learning Technique
    2010 Prostate Cancer Region Prediction using MALDI Mass Spectra
    2010 ulti-agent Design and Implementation of Crowd Injury Model
    2009 Assessment of Denoising Algorihtm by Evolving the Pareto Front
    2009 Individualized Cognitive Modeling for Closed-Loop Task Mitigation
    2009 Prostate Cancer Biomarker Identification: A Comparative Study
    2009 Robotic Dental Implantation: Making Case for Automation
    2008 Binary-output Weighted Median Filter for Binary Signals
    2008 Biomarker Identification by using Mass Spectrum Data
    2008 MRI Brain Tumor Segmentation Using a Region Growing Method Based on Dynamic Thresholds
    2008 Polyp Height and Width Measurement Using Topographic Height Map
    2008 Seasonal Adaptation of Vegetation Color in Satellite Images
    2008 Vegetation Identification based on Satellite Imagery
    2007 A Piecewise Linear Network Classifier
    2007 CT Colonography Computer-Aided Polyp Detection using Topographical Height Map
    2007 Collaborative classifiers in CT Colonography CAD
    2007 Computer-aided Detection of Colonic Diverticular Disease
    2007 Improved Performances of Computer-aided Detection for Medium-sized Polyps on CT Colonography
    2007 Using Pareto Fronts to Evaluate Polyp Detection Algorithms for CT Colonography
    2007 Validating Pareto Optimal Operation Parameters of Polyp Detection Algorithms for CT Colonography
    2006 Automatic Colonic Polyp Detection Using Multiobjective Evolutionary Technique
    2006 Fast Generation of a Sequence of Trained and Validated Feed-Forward Networks
    2006 Hybrid Committee Classifiers for a Computerized Colonic Polyp Detection System
    2006 Wavelet Analysis in Virtual Colonoscopy
    2006 Wavelet Method for CT Colonography Computer-aided Polyp Detection
    2005 An efficient feature selection algorithm for polyp detection in CAD system
    2004 A Nonlinear Filtering Approach for Demodulation over Rician Flat Fading Channels
    2004 Co-channel Interference Suppression with Model Simplification in TDMA Systems
    2004 Demodulation for Wireless ATM Network Using Modified SOM Network
    2004 Hidden Layer Training via Hessian Matrix Information
    2004 Invariance of MLP Training to Input Feature De-correlation
    2004 Iterative Improvement of Neural Classifiers
    2004 Prototype Based Classifier Design with Pruning
    2003 A Semi-blind Demodulator Aided by Protocol for Wireless ATM Network.  2093-2097.
    2003 Adaptive Channel Equalization for Satellite Communications with Multipath Based on Unsupervised Learning Algorithm.  730-734.
    2002 Evaluation and Improvement of Two Training Algorithms.  1029-1023.
    2000 A Novel Approach to Analyze the Result of Polygraph.  2884-2886.

    Research Overview

  • Research Interests: Machine learning, computer-aided medical diagnosis systems, medical signal/image processing, neural network and modeling and simulation.

    • Grants

  • REU Site: Cybersecurity Research in a Multidisciplinary Environment  awarded by National Science Foundation 2017 - 2020
  • Quantification of Blue Carbon Burial in Seagrass Ecosystems and the Impact of Projected Climate Change  awarded by National Aeronautics and Space Administration 2017 - 2019
  • Image Analysis of Biofouling Test Panels  awarded by Excet, Inc. 2016 - 2017
  • Cognitive Modeling for Closed-loop Task Mitigation  awarded by IAI 2010 - 2011
  • An Efficient Feature Selection Algorithm for Biomarker Identification  awarded by National Institutes of Health (NIH) 2008 - 2010
  • Dental Implant Site Preparation and Placement Using 3D Imaging and Robotics: Initial Phase 2008 - 2009
  • MRI Image Artifacts Correction and De-noising  awarded by Medical Image Engine, LLC. 2008
  • ALHAT Hazard Detection Avoidance Modeling and Simulation Architecture  awarded by Loyola Enterprises Inc. 2007
  • Faculty Preparation Proposal Program  awarded by Old Dominion University 2007
  • A new Computational Method for Prostate Cancer Biomarker Identification  awarded by Department of defense-Prostate Cancer Research Program 2009 -
  • A new Computational Method for Prostate Cancer Biomarker Identification  awarded by Department of defense-Prostate Cancer Research Program 2008 -
  • Collaborative Research: Teaching Cross-Platform Educational Game Development and Its Uses in Multidisciplinary STEM Education  awarded by National Science Foundation 2008 -
  • Collaborative Research: Teaching Cross-Platform Educational Game Development and Its Uses in Multidisciplinary STEM Education  awarded by National Science Foundation 2005 -

    • Education And Training

  • Ph.D. in Electrical Engineering, The University of Texas at Arlington 2004
  • M.S. in Automation, Tsinghua University 2000
  • B.S. in Electrical Engineering, Shanghai Jiao Tong University 1992

    • Full Name

  • Jiang Li