Curriculum Vitae

EDUCATION

Hope College – Holland, MI | May 2014

  • Bachelor of Science: Electrical Engineering
  • Minor: Computer Science
  • Advisor: Dr. Katharine Polasek

University of Notre Dame – South Bend, IN | April 2018

  • M.S., Computer Science and Engineering
  • Focus: Computer Vision and Machine Learning
  • Advisors: Dr. Kevin Bowyer, Dr. Patrick Flynn

University of Notre Dame – South Bend, IN | Anticipated Degree 2019

  • PhD student in Computer Science and Engineering
  • Thesis Topic: Automatically Understanding the Propagation of Modified Media
  • Advisors: Dr. Kevin Bowyer, Dr. Patrick Flynn

 

PUBLICATIONS

[1] Brogan, J., Banerjee, S., Krizaj, J., Bharati, A., Webster, B.R., Struc, V., Flynn, P.J. and Scheirer, W.J., 2018, March. “To Frontalize or Not to Frontalize: Do We Really Need Elaborate Pre-processing to Improve Face Recognition?”, In 2018 IEEE Winter Conference on Applications of Computer Vision (WACV) (pp. 20-29). Paper | Arxiv | Code

[2] Brogan, J., Scheirer, W.J. “Facial Frontalization and Smart Matching Via Pose.” IEEE Intelligent Systems 33, no. 3 (2018) 57-60. Paper

[2] Proença, H., Nixon, M., Nappi, M., Ghaleb E., Özbulak G., Gao H., Kemal Ekenel, H., Brogan, J. et al. “Trends and Controversies.” IEEE Intelligent Systems 33, no. 3 (2018): 41-67. Paper

[3] Bharati, A., Moreira, D., Brogan, J., Hale, P., Bowyer, K.W., Flynn, P.J., Rocha, A. and Scheirer, W.J., 2018. “Beyond Pixels: Image Provenance Analysis Leveraging Metadata”, In arXiv preprint arXiv:1807.03376. Arxiv

[4] D. Moreira, A. Bharati, J. Brogan, A. Pinto, M. Parowski, K. W. Bowyer, P. J. Flynn, A. Rocha, W. J. Scheirer. “Image Provenance Analysis at Scale”, in IEEE Transactions on Image Processing (T-IP) preprint 10.1109/TIP.2018.2865674 (2018). Paper | Arxiv | Code

[5] Pinto, A., Moreira, D., Bharati, A., Brogan, J., Bowyer, K., Flynn, P., Scheirer, W. and Rocha, A., 2017, September. “Provenance filtering for multimedia phylogeny”, In 2017 IEEE International Conference on Image Processing  (ICIP), (pp. 1502-1506). Paper | Arxiv | Code

[6] Bharati, A., Moreira, D., Pinto, A., Brogan, J., Bowyer, K., Flynn, P., Scheirer, W. and Rocha, A., 2017, September. “U-phylogeny: Undirected provenance graph construction in the wild”, In 2017 IEEE International Conference on Image Processing (ICIP), (pp. 1517-1521). Paper | Arxiv | Code

[7] Brogan, J., Bestagini, P., Bharati, A., Pinto, A., Moreira, D., Bowyer, K., Flynn, P., Rocha, A. and Scheirer, W., 2017, September. “Spotting the difference: Context retrieval and analysis for improved forgery detection and localization”, In 2017 IEEE International Conference on Image Processing (ICIP), (pp. 4078-4082). Paper | Arxiv | Code

[8] Brogan, J., Li, P. and Flynn, P.J., 2016, September. “Toward facial re-identification: Experiments with data from an operational surveillance camera plant”, In 2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS), (pp. 1-8). Paper | Code

[9] Scheirer, W.J., Flynn, P.J., Ding, C.X., Guo, G., Struc, V., Al Jazaery, M., Grm, K., Dobrisek, S., Tao, D., Zhu, Y. and Brogan, J., 2016. “Report on the BTAS 2016 video person recognition evaluation”, In 2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems (BTAS). Paper | Code

 

CONFERENCE TALKS

[1] Brogan, J., “Large Scale Provenance filtering for multimedia phylogeny.” The Proceedings of the 2018 IEEE International Conference on Image Processing (ICIP 2018), Beijing, China, USA.

[2] Brogan, J., “Undirected Provenance Graph Construction in the Wild.” The Proceedings of the 2018  IEEE International Conference on Image Processing (ICIP 2018), Beijing, China, USA.

[3] Brogan, J., “Do We Really Need Elaborate Pre-processing to Improve Face Recognition?” The Proceedings of the 2018 IEEE Winter Applications of Computer Vision (WACV 2018), Lake Tahoe, Nevada, USA.

 

INVITED TALKS

[1] “Life as a Graduate Researcher in Machine Learning”. In: Hope College Colloquium Series, January 15, 2015. | Link

[2] “Learning how to Learn: Facial Recognition, Image Forensics, and the In-between “. In: Hope College Colloquium Series, April 8, 2016. | Link

[3] “Tracing the Stories of Images on the Internet”. In: Clemson University School of Computing Seminar, October 26, 2018.

[4] “Following memes with Image Forensics”. In: Notre Dame COSE-JAM graduate research event, December 4, 2018

TEACHING EXPERIENCE

Volunteer Mentor, F.I.R.S.T. Robotics, Washington High School – South Bend, IN                            Fall 2015 – Spring 2017

  • Mentor and overseer of local high school robotics team
  • Interactively taught simple circuitry and microprocessor programming to young students

 

Teaching Assistant, Human Computer Interaction, University of Notre Dame – South Bend, IN                Fall 2014

  • Led weekly class discussion
  • Graded all tests and essays given in class
  • Provide 1-on-1 assistance for student design projects
  • Awarded multiple honors as a graduate student teacher

 

Teaching Assistant, Advanced Control Systems, Hope College – Holland, MI                         Fall 2013 – Spring 2014

  • Graded papers and assignments
  • Assisted students during lab sessions
  • Led further help sessions for students

 

RESEARCH AND PROFESSIONAL EXPERIENCE

University of Notre Dame Research Assistant – University of Notre Dame, IN | Fall 2014 – Ongoing

  • Worked in small teams on 5 different projects
  • Main researcher on the DARPA-funded Medifor project

 

Advanced Short-Term Researcher – Oak Ridge National Laboratory, TN | Spring 2016 – Fall 2016

  • Researched deep learning algorithms to detect and classify facial tattoos and piercings
  • Collaborated on long-distance stand-off biometric systems
  • Built in-house tools for efficient image annotation for curating new datasets

 

CytoScape Graph Visualization Researcher – Argonne National Laboratory, IL | Fall 2014 – Spring 2014

  • In charge of leading small group in designing data visualization techniques for large-scale metabolic
    reaction simulations

 

R&D Engineer Intern – Magna Mirrors Division, Holland, MI | Summer 2012 – Fall 2014

  • Worked independently and in teams on developing new software and hardware for

computer vision quality control machines for deployment on the production floor

  • Designed robust, efficient, and scalable computer vision algorithms for real time use

on the production floor

  • Developed new and hybrid methods for specular surface reconstruction
  • Designed Machine Learning algorithms to extract non-intuitive insights from real-

time large-scale data collection on production floor

 

Resident Assistant, Durfee Hall, Hope College – Holland, MI | Fall-Spring 2012

  • Organize and run multiple dorm events for residents
  • Facilitate inter-resident problems and conflicts
  • Responsible for upkeep and behavior of the residential hall

 

 

 

HONORS AND AWARDS

  • Kaneb Center for Learning Outstanding Graduate Teacher 2014
  • Department of Computer Science Outstanding Graduate Teaching Assistant 2014
  • NSF Certificate of Ethical Researching presented by Notre Dame Center for Nano Science 2015
  • Kaneb Center Striving for Teaching Excellence Certificate 2017

GRANTS AND FELLOWSHIPS

  • GPU Seeding Research Grant – NVIDIA ($1,200) 2016
  • Graduate Student Association Conference Grant –University of Notre Dame ($250) 2016
  • Graduate Student Union GO Grant – University of Notre Dame ($300) 2018

PROFESSIONAL MEMBERSHIPS

  • IEEE Young Professionals | 2014-Present
  • IEEE Signal Processing Society | 2016-Present
  • IEEE Computational Intelligence Society | 2014-Present
  • IEEE Biometrics Council | 2014-Present

OTHER

Captain of Notre Dame Long Form Improvisational Group, Humor Artist Improvisational Group member, Graduate Mentor, Notre Dame Water Ski Team member, Notre Dame Triathlon Club member

Download: 2018CV

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