Experience

Anomalee Inc.

• United States
• IT Services and IT Consulting
• 1 - 100 Employee

• Computer Scientist

  • Apr 2022 - Present

  Designed and developed an automatic quality control system to detect defects from high-resolution images for industrial pipes. Designed and developed an automatic quality control system to detect defects from high-resolution images for industrial pipes.



Penn State University

• United States
• Higher Education
• 700 & Above Employee

• Research Assistant

  • Jan 2022 - Present

  Backdoor Attacks and Defenses:- Planted backdoor attacks in deep neural networks (DNN) trained for 2D image classification, 3D point clouds classification, and regression tasks.- Devised post-training and in-flight detection systems against variable backdoor attack settings, benchmark datasets, and DNN architectures.- Proposed an efficient and effective method that achieves post-training backdoor mitigation by correcting the distribution alteration using reverse-engineered triggers.Defense Against Data Poisoning Attacks:- Applied Bayesian information criterion to address the embedded data poisoning (DP) scenario wherein, if DP is present, the poisoned samples are an a priori unknown subset of the training set. Show less

• Teaching Assistant

  • Aug 2018 - Dec 2021

  - CMPSC465 Data Structures and Algorithms- CMPSC/MATH 451 Numerical Computations- CMPEN/EE 455 Digital Image Processing I