Sina Malakouti

Fields of Interest

• Machine Learning
• Deep Learning
• Computer Vision
• Medical Imaging
• Representaiton Learning
• Natural Language Processing
• Software Engineering

Publications

Semi-Supervised Domain Generalization for Object Detection via Language-Guided Feature Alignment,S. Malakouti, A. Kovashka, BMVC2023, Aberdeen, UK

DeepTreeNetworks: A New Symbolic Deep Architecture, Sina Malakouti, Zahra Ahmadi, Stefan Kramer, DeCoDeML workshop, ECML PKDD 2019, Wurzburg, Germany

A MuST for Consistency Regularization in Semi-Supervised Medical Image Segmentation, S.Malakouti, A.Scilia, S.hwang, To be submitted

Research Experience

Graduate Research Student- University of Pittsburgh, Pittsburgh, PA (August 2020 - Present)

Advisor: Prof. Adriana kovashka

Conducted research on data efficient approaches in Deep Learning and representation learning (Semi- Supervised, Unsupervised, and Self-Supervised) and their applications in Computer Vision and multi domain problems.

Research Assistant Intern- Johannes Gutenberg University, Mainz, Germany (July - Sep 2018)

Data Mining group under the supervision of Prof. Stefan Kramer and Zahra Ahmadi

Research Assistant Intern (June 2019 - Sep 2019)

Center For Biomedical And Health Informatics under the supervision Of Dr. Mehrdad Oveisi

Shahid Rajaei Cardiovascular, Medical & Research Center, Tehran, Iran

Undergraduate Research Assistant (June 2017 – May 2020)

Big Data lab under the supervision of Dr. Maryam Amir Haeri

Amirkabir University of Technology, Tehran, Iran