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Sule Tekkesinoglu
Assistant Professor, Department of Computer Science, Lund University
Joined
June 2020
Names
Sule Tekkesinoglu
(Preferred)
,
Sule Anjomshoae
Emails
****@umu.se
(Confirmed)
,
****@robots.ox.ac.uk
(Confirmed)
,
****@cs.lth.se
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
Career & Education History
Assistant Professor
Department of Computer Science,
Lund University
(lund.se)
2026
–
2031
Postdoc
Department of Engineering Science,
University of Oxford
(oxford.ac.uk)
2023
–
2025
Advisors, Relations & Conflicts
No relations added
Expertise
XAI
,
explainability
,
transparency
Present
Human-robot collaboration
,
intuitive interfaces
,
multimodal interaction
,
shared autonomy
Present
AI-driven robotic systems
,
deep learning
,
supervised learning
Present
Publications
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap
Sule Tekkesinoglu
,
Azra Habibovic
,
Lars Kunze
CoRR 2024
Readers:
Everyone
From Feature Importance to Natural Language Explanations Using LLMs with RAG
Sule Tekkesinoglu
,
Lars Kunze
MAI-XAI@ECAI 2024
Readers:
Everyone
Explaining graph convolutional network predictions for clinicians - An explainable AI approach to Alzheimer's disease classification
Sule Tekkesinoglu
,
Sara Pudas
Frontiers Artif. Intell. 2023
Readers:
Everyone
From Spoken Thoughts to Automated Driving Commentary: Predicting and Explaining Intelligent Vehicles' Actions
Daniel Omeiza
,
Sule Anjomshoae
,
Helena Webb
,
Marina Jirotka
,
Lars Kunze
IV 2022
Readers:
Everyone
Towards Explainable and Trustworthy Autonomous Physical Systems
Daniel Omeiza
,
Sule Anjomshoae
,
Konrad Kollnig
,
Oana-Maria Camburu
,
Kary Främling
,
Lars Kunze
CHI Extended Abstracts 2021
Readers:
Everyone
Visual Explanations for DNNs with Contextual Importance
Sule Anjomshoae
,
Lili Jiang
,
Kary Främling
2021 (modified: 12 Dec 2022)
EXTRAAMAS@AAMAS 2021
Readers:
Everyone
Context-based image explanations for deep neural networks
Sule Anjomshoae
,
Daniel Omeiza
,
Lili Jiang
2021 (modified: 12 Dec 2022)
Image Vis. Comput. 2021
Readers:
Everyone
Explanations of Black-Box Model Predictions by Contextual Importance and Utility
Sule Anjomshoae
,
Kary Främling
,
Amro Najjar
CoRR 2020
Readers:
Everyone
View all 12 publications
Co-Authors
Amro Najjar
Azra Habibovic
Daniel Omeiza
Davide Calvaresi
Helena Webb
Kary Främling
Konrad Kollnig
Lars Kunze
Lili Jiang
Marina Jirotka
Oana-Maria Camburu
Sara Pudas