I am an Assistant Professor in the Department of Computer Science & Engineering at Lehigh University with research interests in the areas of Media Forensics, Computer Vision, Biometrics, Pattern Recognition and Machine Learning. I serve as a member of the IEEE Information Forensics and Security Technical Committee, IEEE Biometric Council's Editorial Board and PAMI-TC and have served in the program committee of venues such as ICPR, FG and CVPR workshops.

Prior to coming to Lehigh, I received my Ph.D. from the University of Notre Dame where I was a research assistant for DARPA's MediFor project led by Drs. Kevin Bowyer, Walter Scheirer and Patrick Flynn and a member of the Computer Vision Research Lab. As a Machine Learning Research Intern in the Document Intelligence Lab at Adobe Research, I worked on document change analysis with Dr. Rajiv Jain and Vlad Morariu during the summer of 2019. In 2015, I graduated from IIIT-Delhi with a B. Tech in Computer Science & Engineering and specialized in Image Analysis and Machine Intelligence. My undergraduate research was supervised by Dr. Mayank Vatsa and Dr. Richa Singh.

Prospective Students: I am looking for motivated M.S., Ph.D. students. Please 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

  • Multi-Demographic Retouched Faces Dataset with Human Responses - IJCB 2022 Data Release [new]

  • PC Member, AAAI 2023

  • Received GHC Faculty Scholarship, 2022

  • Joined PAMI-TC as the Web Operations Officer. Keep up with the community via the monthly newsletter and LinkedIn, May 2022

  • Book chapter published in the new book on Multimedia Forensics published by Springer, 2022

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

  • Reviewer, IEEE/CVF CVPR, ECCV 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: