Maggy: Scalable Asynchronous Parallel Hyperparameter Search. - Moritz Meister; Sina Sheikholeslami; Amir Hossein Payberah; Vladimir Vlassov; Jim Dowling (DistributedML@CoNEXT, 2020)

A Parallel Chain Mail Approach for Scalable Spatial Data Interpolation. - Albert Asratyan; Sina Sheikholeslami; Vladimir Vlassov (IEEE BigData, 2021)

Siamese Neural Networks for Detecting Complementary Products. - Marina Angelovska; Sina Sheikholeslami; Bas Dunn; Amir Hossein Payberah (EACL (Student Research Workshop), 2021)

AutoAblation: Automated Parallel Ablation Studies for Deep Learning. - Sina Sheikholeslami; Moritz Meister; Tianze Wang; Amir Hossein Payberah; Vladimir Vlassov; Jim Dowling (EuroMLSys@EuroSys, 2021)

ExtremeEarth Meets Satellite Data From Space. - Desta Haileselassie Hagos; Theofilos Kakantousis; Vladimir Vlassov; Sina Sheikholeslami; Tianze Wang; Jim Dowling; Claudia Paris; Daniele Marinelli; Giulio Weikmann; Lorenzo Bruzzone; Salman Khaleghian; Thomas Krämer; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Scalable Artificial Intelligence for Earth Observation Data Using Hopsworks. - Desta Haileselassie Hagos; Theofilos Kakantousis; Sina Sheikholeslami; Tianze Wang; Vladimir Vlassov; Amir Hossein Payberah; Moritz Meister; Robin Andersson; Jim Dowling (Remote. Sens., 2022)

The Impact of Importance-Aware Dataset Partitioning on Data-Parallel Training of Deep Neural Networks. - Sina Sheikholeslami; Amir Hossein Payberah; Tianze Wang; Jim Dowling; Vladimir Vlassov (DAIS, 2023)

Cloud-native RStudio on Kubernetes for Hopsworks. - Gibson Chikafa; Sina Sheikholeslami; Salman Niazi; Jim Dowling; Vladimir Vlassov (CoRR, 2023)

DUGET: Leveraging Machine Learning for Dynamic User Grouping and Evolution Tracking in Public Transit Systems. - Tobias Johannesson; Isak Rubensson; Sina Sheikholeslami; Ahmad Al-Shishtawy; Vladimir Vlassov (IEEE Big Data, 2024)

A Semi-Supervised Model for Non-Cellular Elements Segmentation in Microscopy Images of Wood. - Zihao Xu; Peter Nordström; Sina Sheikholeslami; Ahmad Al-Shishtawy; Vladimir Vlassov (IEEE Big Data, 2024)

Utilizing Large Language Models for Ablation Studies in Machine Learning and Deep Learning. - Sina Sheikholeslami; Hamid Ghasemirahni; Amir Hossein Payberah; Tianze Wang; Jim Dowling; Vladimir Vlassov (EuroMLSys, 2025)