Emily R. Bartusiak


Ph.D. Graduate in Electrical and Computer Engineering
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I graduated with my Master's and Ph.D. from the 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

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)

Presentations

  • E R. Bartusiak, “Transformers for Synthesized Speech Detection”, Conference on Neural Information Processing Systems (NeurIPS), Women in Machine Learning (WiML) Workshop, December 2022, New Orleans, LA, USA, Poster Presentation.
  • E R. Bartusiak and D. Güera, “DeepFake Detection in the Age of Misinformation”, Association of Movin Image Archivists (AMIA) Conference, November 2020, Virtual, Invited Talk.

Journal Publications

[22] E R. Bartusiak, M. A. Jacobs, N. X. Nguyen, M. W. Chan, M. L. Comer, and E. J. Delp, “Predicting Hypersonic Glide Vehicle Behavior with Stochastic Grammars”, Submitted.

Book Chapters

[21] 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, “Deepfake Detection Using Multiple Data Modalities”, 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, January 2022, pp. 235-254, DOI: 10.1007/978-3-030-87664-7\_11.

Conference Publications

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

[19] K. Bhagtani, E. R. Bartusiak, A. K. S. Yadav, Z. Xiang, P. Bestagini, and E. J. Delp, “Synthesized Speech Attribution Using the Patchout Spectrogram Attribution Transformer”, Submitted.

[18] A. K. S. Yadav, Z. Xiang, E. R. Bartusiak, P. Bestagini, S. Tubaro, and E. J. Delp, “ASSD: Synthetic Speech Detection in the AAC Compressed Domain”, Submitted.

[17] A. K. S. Yadav, E. R. Bartusiak, K. Bhagtani, and E. J. Delp, “Synthetic Speech Attribution Using Self Supervised Audio Spectrogram Transformer”, Proceedings of the Media Watermarking, Security, and Forensics Conference, IS&T Electronic Imaging Symposium (EI), January 2023, San Francisco, CA, USA, To Appear.

[16] E R. Bartusiak, M. A. Jacobs, C. Spells, M. W. Chan, M. L. Comer, and E. J. Delp, “Transfer Learning for Hypersonic Vehicle Trajectory Prediction”, Proceedings of the IEEE Aerospace Conference, pp. 1-8, March 2023, Big Sky, MT, USA, To Appear.

[15] E R. Bartusiak and E. J. Delp, “Transformer-Based Speech Synthesizer Attribution in an Open Set Scenario”, Proceedings of the IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 1-8, December 2022, Nassau, The Bahamas, arXiv: arXiv:2210.07546.

[14] K. Bhagtani, A. K. S. Yadav, E. R. Bartusiak, Z. Xiang, R. Shao, S. Baireddy, and E. J. Delp, “An Overview of Recent Work in Multimedia Forensics”, Proceedings of the IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), pp. 324-329, August 2022, San Jose, CA, USA, DOI: 10.1109/MIPR54900.2022.00064.

[13] E R. Bartusiak, M. Barrabés, A. Rymbekova, J. Gimbernat-Mayol, C. López, L. Barberis, D. Mas, X. Giró-i-Nieto, and A. G. Ioannidis, “Predicting Dog Phenotypes from Genotypes”, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 3558-3562, July 2022, Glasgow, Scotland, UK, DOI: 10.1109/EMBC48229.2022.9870905, bioRxiv: 10.1101/2022.04.13.488108.

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

[11] E R. Bartusiak, H. Hao, M. A. Jacobs, N. X. Nguyen, M. W. Chan, M. L. Comer, and E. J. Delp, “A Stochastic Grammar Approach to Predict Flight Phases of a Hypersonic Glide Vehicle”, Proceedings of the IEEE Aerospace Conference, pp. 1-15, March 2022, Big Sky, MT, USA, DOI: 10.1109/AERO53065.2022.9843362.

[10] E R. Bartusiak and E. J. Delp, “Synthesized Speech Detection Using Convolutional Transformer-Based Spectrogram Analysis”, Proceedings of the IEEE Asilomar Conference on Signals, Systems, and Computers, pp. 1426-1430, October 2021, Asilomar, CA, USA (Virtual), DOI: 10.1109/IEEECONF53345.2021.9723142, arXiv: arXiv:2205.01800.

[9] E.D. Cannas, S. Baireddy, E. R. Bartusiak, S.K. Yarlagadda, D. Mas Montserrat, P. Bestagini, S. Tubaro, and E.J. Delp, “Open-Set Source Attribution for Panchromatic Satellite Imagery”, Proceedings of the IEEE International Conference on Image Processing (ICIP), pp. 3038-3042, September 2021, Anchorage, AK, USA (Virtual), DOI: 10.1109/ICIP42928.2021.9506600.

[8] H. Hao, S. Baireddy, E. R. Bartusiak, L. Konz, K. LaTourette, M. Gribbons, M. Chan, M. Comer, and E. J. Delp, “An Attention-Based System for Damage Assessment Using Satellite Imagery”, Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 4396-4399, July 2021, Brussels, Belgium (Virtual), DOI: 10.1109/IGARSS47720.2021.9554054, arXiv: arXiv:2004.06643.

[7] H. Hao, S. Baireddy, E. R. Bartusiak, M. Gupta, K. LaTourette, L. Konz, M. Gribbons, M. Chan, M. Comer, and E. J. Delp, “Building Height Estimation via Satellite Metadata and Shadow Instance Detection”, Proceedings of the SPIE Automatic Target Recognition Conference (ATR), pp. 1-16, April 2021, Orlando, FL, USA (Virtual), DOI: 10.1109/TGRS.2022.3206223.

[6] E. R. Bartusiak, N. X. Nguyen, M. W. Chan, M. L. Comer, and E. J. Delp, “A Machine Learning Approach to Classify Hypersonic Vehicle Trajectories”, Proceedings of the IEEE Aerospace Conference, pp. 1-14, March 2021, Big Sky, MT, USA (Virtual), DOI: 10.1109/AERO50100.2021.9438274.

[5] E. R. Bartusiak and E. J. Delp, “Frequency Domain-Based Detection of Generated Audio”, Proceedings of the Media Watermarking, Security, and Forensics Conference, IS&T Electronic Imaging Symposium (EI), pp. 273(1)-273(7), January 2021, Burlingame, CA, USA (Virtual), DOI: 10.2352/ISSN.2470-1173.2021.4.MWSF-273, arXiv: arXiv:2205.01806.

[4] 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, “Deepfakes Detection with Automatic Face Weighting”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Workshop on Media Forensics, pp. 2851-2859, June 2020, Seattle, WA, USA (Virtual), DOI: 10.1109/CVPRW50498.2020.00342, arXiv: arXiv:2004.12027.

[3] E. R. Bartusiak, S. K. Yarlagadda, D. Güera, F. Zhu, P. Bestagini, S. Tubaro, E. J. Delp, “Splicing Detection And Localization In Satellite Imagery Using Conditional GANs”, Proceedings of the IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), pp. 91-96, March 2019, San Jose, CA, USA, DOI: 10.1109/MIPR.2019.00024, arXiv: arXiv:2205.01805.

M.S. Thesis

[2] E. R. Bartusiak, “An Adversarial Approach to Spliced Forgery Detection and Localization in Satellite Imagery”, Purdue University, pp. 1-54, May 2019, West Lafayette, IN, USA, DOI: 10.25394/PGS.8035952.v1.

Ph.D. Dissertation

[1] E. R. Bartusiak, “Machine Learning for Speech Forensics and Hypersonic Vehicle Applications”, Purdue University, pp. 1-201, December 2022, West Lafayette, IN, USA, DOI: 10.25394/PGS.21678095.v1.