Signal Processing Research Group (SPRG) Laboratory

Signal Processing Research Group (SPRG) Laboratory works in speech processing, biomedical signal, and image processing. Machine learning (ML) algorithms and their applications in real-world problems are extensively studied. Recently, the group has emphasized research in computer-aided breast cancer diagnosis systems using mammography and histopathology images.

Here is an overview of the group and the list of ongoing research projects.

Machine Learning

  • Data mining and feature extraction methods
  • DNNs, CNNs, ANNs, SVMs, KNN, and Fuzzy logic frameworks
  • Computer-aided diagnosis (CAD) systems
  • Pattern recognition algorithms

Speech and Audio Signal Processing Applications

  • Accent, age, and gender recognition using speech signals
  • Speaker verification and identification systems
  • Audio surveillance systems
  • Non-speech environmental sound classification

Image Processing Applications

  • Computer vision
  • Image segmentation algorithms for MRI, MRA, CT-scan, and ultrasound images
  • Classification of benign and malignant breast lesions
  • Blood vessel segmentation in retinal images
  • Alzheimer's disease (AD)
  • Age and gender recognition from wild face images

Biomedical Signal Processing Applications

  • Analysis of Electroencephalogram (EEG) measurements during short-term memory retention
  • Emotion recognition

Teaching and Mentoring

  • Curriculum development (Fairchild Magnet Schools, School of Education, and School of Engineering)
  • Mentoring new faculty and students
  • Advising undergraduate and graduate students
  • ABET accreditation
  • K-12 STEM Outreach programs

Based out of University of Bridgeport, the SPRG group welcomes researchers and highly motivated, hard-working students who would like to collaborate. If you are interested in joining our group, please contact us at

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