Short Bio

Dasara Shullani received the master’s degree in computer engineering from Politecnico di Torino and the Ph.D. degree in information engineering from the University of Florence. She joined the Image Analysis, Processing, and Protection Research Group in 2015 and is now working on creating model-based and data-driven multimedia forensics tools for video content. She is currently a postdoctoral fellow at the University of Florence. Over the years, she has actively contributed to various research projects funded by prestigious organizations such as the Consortium GARR, the U.S. Defense Advanced Research Project Agency (DARPA), and the Italian Ministry of University and Research (MUR).

In addition to her research activities, she is involved in teaching as a supervisor to many students obtaining master’s and bachelor’s degrees in computer engineering. Moreover, she has been an adjunct lecturer in the University of Florence’s master’s program in fashion system design since 2022.

Research interests

Image and video forensics with a particular emphasis on model based and data-driven solutions.

Publications

• Daniele Baracchi, Dasara Shullani, Massimo Iuliani, and Alessandro Piva, "FloreView: An Image and Video Dataset for Forensic Analysis.", IEEE Access, 2023
• Simone Magistri, Daniele Baracchi, Dasara Shullani, Andrew D. Bagdanov, and Alessandro Piva, "Towards Continual Social Network Identification.", International Workshop on Biometrics and Forensics (IWBF), 2023
• Dasara Shullani, Daniele Baracchi, Massimo Iuliani, and Alessandro Piva, "Social Network Identification of Laundered Videos Based on DCT Coefficient Analysis.", IEEE Signal Processing Letters, 2022
• Daniele Baracchi, Dasara Shullani, Massimo Iuliani, Damiano Giani, and Alessandro Piva, "Camera Obscura: Exploiting in-camera processing for image counter forensics.", Forensic Science International: Digital Investigation, 2021
• Pengpeng Yang, Daniele Baracchi, Massimo Iuliani, Dasara Shullani, Rongrong Ni, Yao Zhao, and Alessandro Piva, "Efficient Video Integrity Analysis Through Container Characterization.", IEEE Journal of Selected Topics in Signal Processing, 2020
• David Vázquez-Padín, Marco Fontani, Dasara Shullani, Fernando Pérez-González, Alessandro Piva, and Mauro Barni, "Video Integrity Verification and GOP Size Estimation Via Generalized Variation of Prediction Footprint.", IEEE Transactions on Information Forensics and Security, 2020
• Massimo Iuliani, Dasara Shullani, Marco Fontani, Saverio Meucci, and Alessandro Piva, "A Video Forensic Framework for the Unsupervised Analysis of MP4-Like File Container.", IEEE Transactions on Information Forensics and Security, 2019
• Massimo Iuliani, Marco Fontani, Dasara Shullani, and Alessandro Piva, "Hybrid reference-based Video Source Identification.", Sensors, 2019
• Dasara Shullani, Marco Fontani, Massimo Iuliani, Omar Al Shaya, and Alessandro Piva, "VISION: a video and image dataset for source identification.", EURASIP Journal on Information Security, 2017
• Dasara Shullani, Omar Al Shaya, Massimo Iuliani, Marco Fontani, and Alessandro Piva, "A Dataset for Forensic Analysis of Videos in the Wild.", TIWDC, 2017
• Tiziano Bianchi, Alessandro Piva, and Dasara Shullani, "Anticollusion solutions for asymmetric fingerprinting protocols based on client side embedding.", EURASIP Journal on Information Security, 2015