Salimeh Sekeh (Preferred)
Salimeh Yasaei Sekeh
Salimeh Sekeh
Associate Professor, Computer Science, San Diego State University
Joined
February 2020
Names
,
Emails
****@maine.edu (Confirmed)
****@sdsu.edu (Confirmed)
Personal Links
Career & Education History
Associate Professor
Computer Science, San Diego State University (sdsu.edu)
2024 – Present
Assistant Professor
Computer Science, University of Maine (umaine.edu)
2019 – 2024
Postdoc
EECS, University of Michigan (umich.edu)
2016 – 2019
Postdoc
Statistics, University Federal of Sao Carlos (ufscar.br)
2014 – 2016
Advisors, Relations & Conflicts
Coauthor
Abram Magner
2021 – Present
PhD Advisee
Joshua Andle
2020 – 2025
Expertise
Vision-Language Models
2024 – Present
Open wold learning
2024 – Present
Out-of-Distribution Detection
2022 – Present
CNNs and Continual Learning
2021 – Present
Transfer Learning - Domain Adaptation
2021 – Present
Deep Neural Network Compression and Efficiency
2021 – Present
Interpretable/Explainable AI
2021 – Present
Graph Summarization
2019 – Present
Robustness and Efficiency
2019 – Present
Machine Learning
2016 – Present
Deep Learning
2016 – Present
Network Structure Learning
2016 – Present
Feature Selection and Dimensionality Reduction
2016 – Present
Dependency analysis
2016 – Present
Publications
Co-Authors
- Abdolhamid Rezaei Roknabadi
- Abram Magner
- Aditi Naiknaware
- Adriano Polpo
- Alfred Hero
- Alfred O. Hero III
- Ali Payani
- Brandon Oselio
- Carlo Sgarra
- Daniel Goldfarb
- David Fitzpatrick
- Dawsin Blanchard
- Fabio Bellini
- Franco Pellerey
- Gholamreza Mohtashami Borzadran
- Hajar Homayouni
- Izabella Stuhl
- Jason J Corso
- Jason J. Corso
- Joshua Andle
- Jovon Craig
- Kevin R. Moon
- Madan Ravi Ganesh
- Mahsa Mozafarinia
- Mark Kelbert