Scholar
Saeed Ghoorchian
Google Scholar ID: Ro-q7woAAAAJ
SAP AI Research
Citations & Impact
Citations
75
H-index
4
i10-index
2
Publications
12
Co-authors
7
list available
Contact
Resume (English only)
Academic Achievements
- Successfully defended his PhD thesis titled 'Online Learning under Partial Feedback' with magna cum laude in April 2023.
- Paper 'Contextual Multi-Armed Bandit with Costly Feature Observation in Non-stationary Environments' accepted for publication at the IEEE Open Journal of Signal Processing in April 2024.
- Paper 'Non-stationary Linear Bandits with Dimensionality Reduction for Large-Scale Recommender Systems' accepted for publication at the IEEE Open Journal of Signal Processing in March 2024.
- Paper 'Non-Stationary Delayed Combinatorial Semi-Bandit With Causally Related Rewards' published in the IEEE Open Journal of Signal Processing in April 2025.
- Paper 'Robust Inverse Reinforcement Learning under State Adversarial Perturbations' accepted for publication at the 28th European Conference on Artificial Intelligence (ECAI) in July 2025.
- Preprint of the recent paper 'Quantum-Inspired Reinforcement Learning in the Presence of Epistemic Ambivalence' available in March 2025.
- Paper 'Linear Combinatorial Semi-Bandit with Causally Related Rewards' accepted for publication at the 31st International Joint Conference on Artificial Intelligence (IJCAI) in April 2022.
Research Experience
- Held postdoctoral positions at the University of Tübingen and Ruhr-University Bochum, and worked as an AI researcher at SAP Signavio during 2023-2024.
- Worked as a research assistant at the Technical University of Berlin and the Technical University of Hamburg from 2017 to 2022.
- Joined the Decision Making group at the University of Tübingen as a research assistant in June 2022.
- Started a freelance consultant position at Datalyze Solutions GmbH, Germany, in May 2022.
- Served as a Teaching Assistant at the University of Tübingen in November 2021.
- Paper 'Data-Driven Online Recommender Systems with Costly Information Acquisition' accepted for publication at IEEE Transactions on Services Computing (TSC) in September 2021.
- Presented an accepted paper at IJCAI 2022 in Vienna in July 2022.
- Teaching Assistant for the course 'Introduction to Game Theory with Application in Multi-Agent Systems' during the winter semester at the University of Tübingen in September 2022.
Education
- Received a Ph.D. from the University of Tübingen in 2023.
Background
- Machine learning scientist with research interests in reinforcement learning, imitation learning, representation learning, and causality in LLMs.
