Vahid Mirjalili

Welcome to my website!

I am Vahid Mirjalili, currently a PhD student in Computer Science and Engineering at Michigan State University. In 2014, I obtained my first PhD in mechanical engineering working on novel methods for large-scale, computational simulations of bio-molecular structures.

Curently, as a PhD student in Computer Science, I work at iPRoBe lab, where I am focusing my research efforts on applications of machine learning and deep learning in the domain of computer vision.

News

  • Invited speaker to Ann Arbor Deep-Learning (A2-DLearn-2019), February 23, 2019 (Ann Arbor, MI).
  • Received the best paper award for our paper "Spoofing PRNU Patterns of Iris Sensors while Preserving Iris Recognition", ISBA 2019, (Hyderabad, India). [Link to paper on arXiv]
  • Our paper on Spoofing PRNU Patterns of Iris Sensors is accepted for publication in ISBA 2019, Januray 22-24, 2019 (Hyderabad, India).
  • Invited talk to the Workshop on "Demographic Variations in Performance of Biometric Algorithms" (Winter Conference in Applications of Computer Vision (WACV 2019), Januray 7-11, 2019 (Waikoloa, HI).
  • Presented our paper on imparting gender privacy to face images in BTAS conference, October 22-25, 2018 (Los Angeles, CA)
  • Received the best paper award (silver) for our paper "Semi-Adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images", ICB 2018, (Queensland, Australia). [Link to paper on arXiv]
  • Our paper on Semi-Adversarial Networks (SAN) for Gender privacy to Face Images is published in ICB 2018, (Queensland, Australia).
  • Presented our paper on Imparting Soft Biometric Privacy to Face Images in IJCB 2017, October 1-4, 2017, (Denver, CO)

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