I am an Assistant Professor in the Department of Computer Science & Engineering at Lehigh University. I worked as a research assistant in the Computer Vision Research Lab with Dr. Kevin Bowyer, Dr. Walter Scheirer and Dr. Patrick Flynn at the University of Notre Dame and graduated with my Ph.D. in 2020. Prior to that, I graduated from IIIT-Delhi with a B. Tech in Computer Science & Engineering and specialized in Image Analysis and Machine Intelligence. I conducted research during the senior years of my undergrad under the supervision of Dr. Mayank Vatsa and Dr. Richa Singh. My research interests include Image Forensics, Computer Vision, Biometrics, Pattern Recognition and Machine Learning.

Prospective Students: I am looking for self-motivated M.S., Ph.D. students and visitors. Please send me an email at aparna.bharati@lehigh.edu with details about your experience, areas of interest and reasons for pursuing graduate studies/research.

Research Statement: Major goals of my work are the following:

  • Re-establish trust in visual media and popular information mediums

  • Understand human perception to modify modern forensic approaches

  • Improve generalizability of models used for visual learning

  • Dive deeper into visual tasks that humans may not be proficient in

Relevant Links :

News

  • Area Chair, IAPR International Conference on Pattern Recognition (ICPR), 2022

  • Reviewer, IEEE/CVF CVPR, 2022

  • Reviewer, IEEE International Conference on Acoustics, Speech and Signal Processing, 2022

  • Paper on Athlete Performance Evaluation using Video accepted to WACV's Computer Vision for Winter Sports Workshop, 2022

  • Area Chair, IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2021

  • Paper on Fast Local Spatial Verification for Feature-Agnostic Large-Scale Image Retrieval accepted to IEEE Trans. on Image Processing (TIP), July 2021

  • Program Committee Member for Workshop on Face and Gesture Analysis for COVID-19 (FG4COVID19) @ FG2021

  • Demo co-chair for IEEE International Conference on Automatic Face and Gesture Recognition, 2021

  • Invited Talk at Women in Data Science, Bethlehem Chapter meeting 2021

  • Elected member of the IEEE IFS Technical Committee, Jan 2021

  • Our work on learning Transformation-Aware Embeddings for Image Provenance got accepted to IEEE Trans. on Information Forensics & Security (TIFS), Dec 2020

  • Media Coverage - Interview with WIRED, read full story here , Oct 2020

  • Invited talk at University of Campinas, Brazil on Vision and Learning-based Methods for Image Forensics, Aug 2020, (Online)

  • Invited talk at Texas A&M University on Provenance Analysis: A step beyond forgery detection, March 2020, College Station, TX

  • Invited talk at Facebook AI on Media Provenance Analysis, Feb 2020, Menlo Park, CA

  • Invited to attend the Grad Cohort Workshop organized by CRA in New Orleans, LA (April 16-April 18, 2020)

  • Attended the Grace Hopper Celebration 2019 in Orlando, FL (Oct 1-Oct 4, 2019)

  • Was on Internship at the Document Intelligence Lab, Adobe Research for Summer'19 (June, 2019 - Sept, 2019)

  • Won the Annual CSE Department Poster Competition at the University of Notre Dame (March, 2019)

  • Presented our work on Image Provenance Analysis Leveraging Metadata at WACV, 2019, Hawaii (Jan, 2019)

  • Invited talk on Demography-based Facial Retouching Detection at the Demographic Variations in Performance of Biometric Algorithms workshop at WACV, 2019, Hawaii (Jan, 2019)

Contact Me :