Emily R. Bartusiak


Ph.D. Candidate in Electrical and Computer Engineering
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I am a Doctoral Candidate in the VIPER lab at Purdue University advised by Professor Edward J. Delp.

My research focuses on applying deep learning and machine learning techniques to signals, images, and videos for forensics, aerospace, and biomedical applications.

Research Interests

Machine Learning, Deep Learning, Image and Signal Processing, Computer Vision

Education

Ph.D. in Electrical and Computer Engineering, Purdue University (in progress)

Master of Science in Electrical Engineering with Thesis, Purdue University

Bachelor of Science in Electrical Engineering with a Minor in Management, Purdue University

Experience

Previously, I conducted internships at:

Honor Societies

  • Eta Kappa Nu Electrical and Computer Engineering Honor Society (IEEE-HKN)
  • Tau Beta Pi Engineering Honor Society (TBP)

Publications

[1] “Predicting Multiple Kinematic Features of Hypersonic Vehicle Trajectories with Stochastic Grammars”, E R. Bartusiak, M. A. Jacobs, N. X. Nguyen, M. W. Chan, M. L. Comer, and E. J. Delp, Submitted.

[2] “Transformer Ensemble for Synthesized Speech Detection”, E R. Bartusiak, Kratika Bhagtani, A. K. S. Yadav, and E. J. Delp, Submitted.

[3] “Transfer Learning for Hypersonic Vehicle Trajectory Prediction”, E R. Bartusiak, M. A. Jacobs, C. Spells, M. W. Chan, M. L. Comer, and E. J. Delp, Proceedings of the IEEE Aerospace Conference, Big Sky, MT, USA, March 2023.

[4] “Transformer-Based Speech Synthesizer Attribution in an Open Set Scenario”, E R. Bartusiak and E. J. Delp, Proceedings of the IEEE International Conference on Machine Learning and Applications (ICMLA), Nassau, The Bahamas, December 2022.

[5] “Predicting Dog Phenotypes from Genotypes”, E R. Bartusiak, M. Barrabés, A. Rymbekova, J. Gimbernat-Mayol, C. López, L. Barberis, D. Mas, X. Giró-i-Nieto, and A. G. Ioannidis, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Glasgow, Scotland, UK, July 2022.

[6] “An Overview of Recent Work in Multimedia Forensics”, K. Bhagtani, A. K. S. Yadav, E. R. Bartusiak, Z. Xiang, R. Shao, S. Baireddy, and E. J. Delp, Proceedings of the IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), p. 1-6, San Jose, CA, USA, 2022.

[7] “An Overview of Recent Work in Media Forensics: Methods and Threats”, K. Bhagtani, A. K. S. Yadav, E. R. Bartusiak, Z. Xiang, R. Shao, S. Baireddy, and E. J. Delp, p. 1-17, arXiv:2204.12067, April 2022.

[8] “A Stochastic Grammar Approach to Predict Flight Phases of a Hypersonic Glide Vehicle”, E R. Bartusiak, H. Hao, M. A. Jacobs, N. X. Nguyen, M. W. Chan, M. L. Comer, and E. J. Delp, Proceedings of the IEEE Aerospace Conference, Big Sky, MT, USA, March 2022.

[9] “Synthesized Speech Detection Using Convolutional Transformer-Based Spectrogram Analysis”, E R. Bartusiak and E. J. Delp, Proceedings of the IEEE Asilomar Conference on Signals, Systems, and Computers, Asilomar, CA, USA, October 2021.

[10] “Open-Set Source Attribution for Panchromatic Satellite Imagery”, E.D. Cannas, S. Baireddy, E. R. Bartusiak, S.K. Yarlagadda, D. Mas Montserrat, P. Bestagini, S. Tubaro, and E.J. Delp, Proceedings of the IEEE International Conference on Image Processing (ICIP), Anchorage, AK, USA, September 2021.

[11] “An Attention-Based System for Damage Assessment Using Satellite Imagery”, H. Hao, S. Baireddy, E. R. Bartusiak, L. Konz, K. LaTourette, M. Gribbons, M. Chan, M. Comer, and E. J. Delp, Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Brussels, Belgium, July 2021.

[12] “Building Height Estimation via Satellite Metadata and Shadow Instance Detection”, H. Hao, S. Baireddy, E. R. Bartusiak, M. Gupta, K. LaTourette, L. Konz, M. Gribbons, M. Chan, M. Comer, and E. J. Delp, Proceedings of the SPIE Automatic Target Recognition Conference (ATR), Orlando, FL, USA, April 2021.

[13] “A Machine Learning Approach to Classify Hypersonic Vehicle Trajectories”, E. R. Bartusiak, N. X. Nguyen, M. W. Chan, M. L. Comer, and E. J. Delp, Proceedings of the IEEE Aerospace Conference, Big Sky, MT, USA, March 2021.

[14] “Frequency Domain-Based Detection of Generated Audio”, E. R. Bartusiak and E. J. Delp, Proceedings of the Media Watermarking, Security, and Forensics Conference, IS&T Electronic Imaging Symposium (EI), Burlingame, CA, USA, January 2021.

[15] “Deepfakes Detection with Automatic Face Weighting”, D. Mas, H. Hao, S. K. Yarlagadda, S. Baireddy, R. Shao, J. Horváth, J. Yang, E. R. Bartusiak, D. Güera, F. Zhu, and E. J. Delp, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Workshop on Media Forensics, Seattle, WA, USA, June 2020.

[16] “Splicing Detection And Localization In Satellite Imagery Using Conditional GANs”, E. R. Bartusiak, S. K. Yarlagadda, D. Güera, F. Zhu, P. Bestagini, S. Tubaro, E. J. Delp, IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), San Jose, CA, USA, March 2019.

Book Chapters

[17] “Deepfake Detection Using Multiple Data Modalities”, H. Hao, E. R. Bartusiak, D. Güera, D. Mas, S. Baireddy, Z. Xiang, S. K. Yarlagadda, R. Shao, J. Horváth, J. Yang, F. Zhu, and E. J. Delp, in Handbook of Digital Face Manipulation and Detection - From DeepFakes to Morphing Attacks, Series on Advances in Computer Vision and Pattern Recognition, 1st ed., Springer, March 2022.

M.S. Thesis

[18] “An Adversarial Approach to Spliced Forgery Detection and Localization in Satellite Imagery”, E. R. Bartusiak, Purdue University, West Lafayette, IN, USA, May 2019.