Call for Doctoral Consortium Applications
PhD students who have at least one PETRA 2024 paper (Full paper, Short paper, Poster paper, Demo paper, or Workshop paper) and will graduate in or after Summer 2024 are eligible to apply for the doctoral consortium (DC).
The DC application submission deadline is April 20, 2024 and notification is on May 05, 2024. We encourage Ph.D. students who study at U.S. institutions to submit their applications as soon as possible. In the application form, you are required to upload:
- Paper Abstract (up to 250 words)
- Official Letter in English indicating your student status
- Personal Statement in English ( 1 page max)
Travel Awards
The applications deadline is April 20, 2024. DC Travel Award is only available for accepted DC students studying full-time at a US based university. If you would like to be considered for the NSF Travel Awards, please add that in your DC application. The travel award will cover or partially cover:
- Student Regular Registration
- Airfare
- Hotel (June 26- June 28, 2024)
Requirements from DC Members
To be updated shortly.
Faculty Chair of the DC
Dr. Farnaz Farahanipad
Lecturer at University of Texas at Arlington
Ph.D. In Computer Science and Engineering from the University of Texas at Arlington (UTA)
farnaz.farahanipad@uta.edu
Biography:
Dr. Farnaz Farahanipad is a dedicated educator and researcher in the field of Computer Science, currently serving as a NTT Lecturer at the University of Texas at Arlington. Dr. Farahanipad holds a Ph.D. in Computer Science from the University of Texas at Arlington, along with dual Master's degrees in Computer Science and Electrical Engineering. The title of her Ph.D. thesis is: "GAN-Based Domain Translation for Hand Pose Estimation," under the supervision of Dr. Farhad Kamangar and co-advised by Dr. Vassilis Athitsos. In addition to her academic achievements, Dr. Farahanipad brings a wealth of industry experience to her academic role. Formerly employed as a Machine Learning Engineer at Toyota of North America, she developed vision-based solutions tailored for autonomous driving scenarios. Her journey into the tech industry began with internships at Usens Inc., which provided her with valuable exposure to deep learning research and development. These experiences, which focused on augmented reality, gaming, and automated driving applications, laid the groundwork for her subsequent achievements in the field.Dr. Farahanipad's academic and industry experiences intersect in her research focus on machine learning, computer vision, and human-computer interaction. Her work has been published in reputable conferences and journals, including the International Symposium on Visual Computing and the ACM International Conference on Pervasive Technologies Related to Assistive Environments.Dr. Farahanipad's contributions to the field have been recognized through various honors and awards, including the Faculty Directorship of the NSF Doctoral Consortium program, winner of the scholarship from Society of Iranian American women for education 2017 and Best Workshop Student Paper at PETRA 2022. She is also a member of professional organizations such as the Doctoral Consortium Chair at PETRA. Her primary research interests are in the fields of semi-supervised Learning , generative models with the focus of pose estimation, object detection and tracking, image segmentations and face recognition.