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Supervised students and postdocs

Listed here are the students and postdocs that Dr. Montillo co-supervises with Dr. Maldjian, MD who directs the ANSIR lab.


Photo Unavailable.jpg   Behrouz Saghafi, PhD   —   Postdoctoral Researcher​

    Ph.D. in Computer Science, Nanyang Technological University, 2013
    M.S. in Electrical Engineering, Ferdowsi University of Mashhad, 2007
    B.S. in Electrical Engineering, Ferdowsi University of Mashhad, 2004

Behrouz’s research interests lie in the intersection of Machine Learning, Computer Vision and Medical Imaging. He is currently developing deep learning neural network algorithms that identify associations between patterns  in multi-contrast MRI and diabetes and traumatic brain injury. Behrouz enjoys hiking, swimming and reading history in his spare time.


Photo Unavailable.jpg Anand Kadumberi, M.S.   –   Senior ​Research Associate 

    M.S. in Biomedical Engineering, University of Texas Arlington, 2016
    B.Tech. in Electronics and Biomedical Engineering, Cochin University of Science and Technology, 2013

Anand’s research involves the clinical translation of machine learning and deep learning algorithms for brain lesion quantification from research to the clinic. While not working at the lab, Anand enjoys dancing, reading and cooking.


Photo Unavailable.jpg Afarin Famili, B.S.   –   Graduate Research Assistant

    B.S. in Computer Science, Shahid Beheshti University, 2013

Afarin is developing machine learning approaches for the detection of neuroimaging correlates in stereo EEG and resting state fMRI that are predictive of successful episodic memory encoding and associated with type 2 diabetes, renal and cardiovascular diseases. In her free time, Afarin enjoys composing re-mixes of world musing, biking and dancing.


Photo Unavailable.jpg Gowtham Murugesan, M.S.   –   Graduate Research Assistant

    M.S. in Biomedical Engineering, University of Texas Arlington, 2016
    B.Tech. in Biomedical Engineering, SASTRA University, 2014

Gowtham is developing machine learning and deep learning algorithms for the automated processing of resting state fMRI and for the detection of brain signatures associated with head impact exposure levels in contact sports. In his free time, Gowtham enjoys making short films, reading history and photography.


Photo Unavailable.jpg Prabhat Garg, M.D.   –   Student Intern

    Doctor of Medicine, Texas A&M, 2016
    B.S. in Biology, University of Texas Austin, 2012

Prabhat’s work focuses on detecting artifacts in magnetoencephalography (MEG) using advanced deep learning neural networks. In his spare time, Prabhat enjoys traveling, swimming, and astronomy.


Co-research advisor, Doctoral thesis committee

Dr. Montillo also enjoys mentoring students as a co-research advisor. Currently Dr. Montillo has the privilege to serve as a member of the doctoral thesis committees for the following PhD candidates:

Andres NevarezAndres Nevarez, M.S.    –   Graduate Research Assistant. (link)

    Ph.D. candidate, Computational Biology, UTSW, 2014-present
    B.S. in Biology, California State University-Fresno, 2014
    B.S. in Bioinformatics, UC Berkeley, 2013

Andres’s work involves the detection and quantification of dynamic cell motion using machine learning for automated cell characterization of cancer grading.


Ekaterina (Katya) Bostaph, EIT Ekaterina Bostaph, M.S.    –   Graduate Research Assistant. (link)

    PhD Candidate at UTA, Mechanical Engineering Dept, 2011- present
    Master of Science (MS), Rocket Manufacturing, Самарский Государственный Аэрокосмический Университет, 2010

Ekaterina’s work involves the detection and 3D measurement of manufacturing defects in composites using X-ray Computed Tomography (CT) scanning system as well as the nondestructive inspection of composite articles pertinent to aerospace industry.