Current students:

  1. Adam Stavola, Ph.D. student in ECE, started in Spring 2020.
  2. Shahab Uddin, Ph.D. student in ECE, started in Fall 2019.
  3. MD RESHAD UL HOQUE, Ph.D. student in ECE, started in Fall 2017
  4. Kazi Islam, Ph.D. candidate, ECE, started in Fall 2016
  5. Daniel Perez, Ph.D. student in MSVE, started in Fall 2016, co-advised with Prof. Yuzhong Shen.
  6. Yan Lu, Ph.D. candidate, MSIM, Expected date of graduation: TBD
    Research topic: Deep Learning for Hyperspectral Images Processing

Alumni:

Ph.D.:

  1. Dr. Debrep Banerjee, Ph.D. in ECE, Summer 2017
    Research topic: Deep transfer learning for PTSD diagnosis
  2. Dr. Ender Oguslu, Ph.D. in ECE, Fall 2016
    Dissertation title:  Sparse coding for Remote sensing
    Current position: Lecturer, Department of Computer Engineering, Turkish Air Force Academy
  3. Dr. Feng Li, Ph.D. in ECE, Fall 2015
    Dissertation title:  Improving Engagement Assessment by Model Individualization and Deep Learning
    Current position: Pure Storage, CA, USA
  4. Dr. Loc Tran, Ph.D. in ECE, Fall 2014
    Dissertation title:  High Dimensional Data Set Analysis Using a Large-Scale Manifold Learning Approach
    Current position: NASA Langley Research Center, Hampton, Virginia
  5. Dr. Emin KUGU, Ph.D. in ECE, Fall 2011
    Dissertation title:  Design of multi-agent based crowd injury model
    Current position: Lecturer, Department of Computer Engineering, Turkish Air Force Academy

Master:

  1. Siyuan Li, ME, Fall 2015
    Project topic: “Accelerating deep learning trough GPU processing”
  2. Mr. David Hardy, MS, Electrical and Computer Engineering, Fall 2014
    Thesis title: “Simulation and Design of Infrared Wavelength Single Pixel Camera”
  3. Mr. Chitsanu Janyalikit, MS, Electrical and Computer Engineering, Fall 2014
    Thesis title: “Data Completion Methods for Improved Developmental Stage Annotation of Drosophila Embryos in Images”
  4. Mr. Ayyappa Vadlamudi, MS, Electrical and Computer Engineering, Spring 2010
    Thesis title: “Combing molecular with imaging biomarkers to enhance MALDI biomarker analysis”
  5. Mr. Hoang Anh Nguyen, MS, Electrical and Computer Engineering, Spring 2010
    Thesis title: “Electroencephalogram artifact removal using a Wavelet neural network”
  6. Ms. Wenjuan Jiang, MS, Modeling, Simulation and Visualization, Summer, 2009
    Thesis title: “Prostate cancer biomarker identification: A comparative study”
  7. Ms. Padmaja Lakshimi Battagiri, MS, Electrical and Computer Engineering, Fall 2009
    Thesis title: “A smart-phone application for improving communication skills in children with autism”
  8. Mr. Vamsi Krishnamraju, MS, Electrical and Computer Engineering, Dec. 2008
    Thesis title: “Biomarker identification for Prostate cancer using mass spectrometry data by an efficient feature selection algorithm”