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Sidike Paheding, Ph.D.
  • Home
  • Publications
  • Teaching
  • Research Grants
  • Mentoring
  • Service
Sidike Paheding, Ph.D.
  • Home
  • Publications
  • Teaching
  • Research Grants
  • Mentoring
  • Service
  • More
    • Home
    • Publications
    • Teaching
    • Research Grants
    • Mentoring
    • Service
  • Assistant Professor,  IEEE Senior Member

  • Principal Investigator of AI Lab @ Fairfield University

  • Dept. of Computer Science and Engineering, Fairfield University

  • 1073 N Benson Rd, Fairfield, CT 06824

  • Email: spaheding@fairfield.edu | Google Scholar

Foster multidisciplinary research & education in AI

 AI Lab @ Fairfield University 

Research Interests:

  • Machine Learning: deep learning, regression, image classification and dimensionality reduction

  • Computer Vision: feature extraction, visual object detection/tracking, 3D reconstruction

  • Image and Video Processing: image super-resolution, segmentation, contrast enhancement, biomedical imaging

  • Remote Sensing:  hyperspectral image analysis, spectral signal calibration,  and multi-sensor data fusion


Professional Experience

Professional Awards/Honors

  • The Supporting Proposals and Unique Research (SPUR) Fellows, Fairfield University, 2024.

  • Institute of Computing and Cybersystems (ICC) Achievement Awards (only 3% faculty who are research active are awarded), Michigan Tech, 2022.

  • Senior Member of IEEE, Elevated in April 2022

  • Remote Sensing 2021 Best Paper Award, MDPI Remote Sensing Journal.

  • Electronics 2020 Best Paper Award, MDPI Electronics Journal.

  • Mentor for Summer Undergraduate Research Fellowship ($4000), Michigan Tech, Summer 2021.

  • Mentor for Indiana space grant ($500) for undergraduate STEM research, Purdue Univ Northwest, Fall 2019.

  • Mentor for Undergraduate Senior Design Top-3 Award, Purdue University Northwest, Fall 2019.

  • Mentor for Undergraduate Research Award ($300), Purdue University Northwest, Fall 2019.

  • The Best Paper Award in ISPRS Geospatial Week 2019.

  • Placed the top 1% of reviewers in Geoscience on Publons Global Reviewer Database, 2018-2019

  • Placed the top 1% of reviewers in Cross-Field on Publons Global Reviewer Database, 2018-2019

  • Placed 4th on Publon’s Global Reviewer Database for Remote Sensing’s Top 10 reviewers, 2017-2018

  • Placed the top 1% of reviewers in Geoscience on Publons Global Reviewer Database, 2017-2018

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