Barbod Pajoum

Student assistant

Bio

Barbod Pajoum is a Student assistant at the Machine Learning Group(since 2022) under the supervision of Prof. Dr. Marius Kloft. Previously he finished his bachelors degree in computer engineering at the Sharif University of Technology in Iran.

Research interests

Barbod Pajoum is generally interested in Computer Vision and specifically in areas such as Video Anomaly Detection, 3d Computer Vision, Neural Radiance Fields, and self-supervised learning.

Appointments and scientific matters: ==gYwFmavVXbA1Gcp1SauZmLtB3ZuQWZ

Curriculum Vitae

Education

2017-2022: Bachelor degree in Computer Engineering, Sharif University of Technology, Tehran, Iran

Professional Experience

since 2022: Student assistant - Researcher, RPTU Kaiserslautern, Kaiserslautern, Germany
2019-2020: Student Assistant, Interpretable Machine Learning Lab, Sharif University of Technology, Tehran, Iran
2021-2022: Machine Learning Engineer and Researcher at SD-Studio, Tehran, Iran

Key publications

Salehi, M., Arya, A., Pajoum, B., Otoofi, M., Shaeiri, A., Rohban, M. H., & Rabiee, H. R. Arae: Adversarially robust training of autoencoders improves novelty detection. Neural Networks, 144, 726-736., 2021.

MACHINE LEARNING GROUP

RPTU KAISERSLAUTERN-LANDAU