Vahid Mirjalili

Welcome to my website!

My name is Vahid Mirjalili, I am a machine learning and deep learning researcher at 3M Health Information Systems (HIS). I obtained my PhD 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.

During my PhD studies, I worked at iPRoBe lab, where I developped machine learning algorithms for different applications in the domain of computer vision and face biometrics. Furthermore, I worked at Feig Lab, where I earned an oportunity to develop algorithms for protein structure refinement, and actively participated in CASP (a worldwide competition for protein structure prediction).


  • Invited speaker to Ann Arbor Deep-Learning (A2-DLearn-2019), February 23, 2019 (Ann Arbor, MI).
  • 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, 2019 (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).
  • 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)