Hamed Elwarfalli

I am a third-year Ph.D. student in the Department of Electrical & Computer Engineering, University of Dayton, and I am working with Prof. Russell Hardie in SIPL Lab.  In September 2017, I received my master's degree in Electrical & Computer Engineering from the University of Dayton,  and  I received my B.E degree in Electrical Engineering from the College of Electronics Technology, Libya, in May 2010. 

                                                                                                                                                                                                                                                                                             CV       LinkedIn        Google schola   Email Elwarfallih1@udayton.edu

Research Interests

• • Machine Learning: deep learning, and optimization algorithms.

  • Computer Vision: image/video restoration.

Publications:  

• Journals 

1. Dylan Flaute, Russell C. Hardie, and Hamed Elwarfalli "Resampling and super-resolution of hexagonally sampled images using deep learning," Optical Engineering 60(10), 103105 (29 October 2021).                                                                                                                

2. Hamed Elwarfalli, Russell C. Hardie, "FIFNET: A convolutional neural network for motion-based multiframe super-resolution using fusion of interpolated frames," Computer Vision and Image Understanding, Volume 202, 2021, 103097, ISSN 1077-3142, https://doi.org/10.1016/j.cviu.2020.103097.

• Conferences 

        1 -  Elwarfalli, Hamed, Dimitri Papazoglou, Dathan Erdahl, Amy Doll, and Jared Speltz. "In Situ Process   Monitoring  for Laser-              Powder Bed Fusion using Convolutional Neural Networks and Infrared Tomography." In 2019 IEEE National  Aerospace and                Electronics Conference (NAECON), pp. 323-327. IEEE, 2019.

         2 -  Muntaser, Akram, Hamed Elwarfalli, Abdalla Suleiman, and Guru Subramanyam. "Design and  implementation of                                 conventional (PID) and modern (Fuzzy logic) controllers for an energy storage system  of hybrid electric vehicles." In 2017                IEEE National Aerospace and Electronics Conference (NAECON), pp. 267-270. IEEE, 2017.

          4 - Hamed Elwarfalli, Muntaser, A., Kumar, J., & Subramanyam." Design and implementation of PI  controller for the hybrid                    energy system."  In 2016  IEEE National Aerospace and Electronics Conference  (NAECON) and Ohio Innovation Summit                      (OIS), pp.