Publishing Persistent Grid Computations as WS Resources. - Thomas Heinis; Cesare Pautasso; Oliver Deak; Gustavo Alonso (e-Science, 2005)

Design and Evaluation of an Autonomic Workflow Engine. - Thomas Heinis; Cesare Pautasso; Gustavo Alonso (ICAC, 2005)

Autonomic Execution of Web Service Compositions. - Cesare Pautasso; Thomas Heinis; Gustavo Alonso (ICWS, 2005)

Mirroring Resources or Mapping Requests: Implementing WS-RF for Grid Workflows. - Thomas Heinis; Cesare Pautasso; Gustavo Alonso (CCGRID, 2006)

JOpera: Autonomic Service Orchestration. - Cesare Pautasso; Thomas Heinis; Gustavo Alonso (IEEE Data Eng. Bull., 2006)

Developing scientific workflows from heterogeneous services. - Aphrodite Tsalgatidou; George Athanasopoulos; Michael Pantazoglou; Cesare Pautasso; Thomas Heinis; Roy Grønmo; Hjørdis Hoff; Arne-Jørgen Berre; M. Glittum; Simela Topouzidou (SIGMOD Rec., 2006)

Autonomic resource provisioning for software business processes. - Cesare Pautasso; Thomas Heinis; Gustavo Alonso (Inf. Softw. Technol., 2007)

Automatic Configuration of an Autonomic Controller: An Experimental Study with Zero-Configuration Policies. - Thomas Heinis; Cesare Pautasso (ICAC, 2008)

Efficient lineage tracking for scientific workflows. - Thomas Heinis; Gustavo Alonso (SIGMOD Conference, 2008)

Workflow-based Services: Infrastructure for Scientific Applications. - Thomas Heinis (2009)

PARINDA: an interactive physical designer for PostgreSQL. - Cristina Maier; Debabrata Dash; Ioannis Alagiannis; Anastasia Ailamaki; Thomas Heinis (EDBT, 2010)

Challenges and Opportunities in Self-Managing Scientific Databases. - Thomas Heinis; Miguel Branco; Ioannis Alagiannis; Renata Borovica; Farhan Tauheed; Anastasia Ailamaki (IEEE Data Eng. Bull., 2011)

Accelerating Range Queries for Brain Simulations. - Farhan Tauheed; Laurynas Biveinis; Thomas Heinis; Felix Schürmann; Henry Markram; Anastasia Ailamaki (ICDE, 2012)

SCOUT: Prefetching for Latent Feature Following Queries. - Farhan Tauheed; Thomas Heinis; Felix Schürmann; Henry Markram; Anastasia Ailamaki (Proc. VLDB Endow., 2012)

Computational Neuroscience Breakthroughs through Innovative Data Management. - Farhan Tauheed; Sadegh Nobari; Laurynas Biveinis; Thomas Heinis; Anastasia Ailamaki (ADBIS, 2013)

Accelerating spatial range queries. - Alexandros Stougiannis; Farhan Tauheed; Thomas Heinis; Anastasia Ailamaki (EDBT, 2013)

TOUCH: in-memory spatial join by hierarchical data-oriented partitioning. - Sadegh Nobari; Farhan Tauheed; Thomas Heinis; Panagiotis Karras; Stéphane Bressan; Anastasia Ailamaki (SIGMOD Conference, 2013)

Data-driven neuroscience: enabling breakthroughs via innovative data management. - Alexandros Stougiannis; Mirjana Pavlovic; Farhan Tauheed; Thomas Heinis; Anastasia Ailamaki (SIGMOD Conference, 2013)

GIPSY: joining spatial datasets with contrasting density. - Mirjana Pavlovic; Farhan Tauheed; Thomas Heinis; Anastasia Ailamaki (SSDBM, 2013)

Enabling Scientific Discovery Via Innovative Spatial Data Management. - Thomas Heinis; Farhan Tauheed; Mirjana Pavlovic; Anastasia Ailamaki (IEEE Data Eng. Bull., 2013)

Spatial Data Management Challenges in the Simulation Sciences. - Thomas Heinis; Farhan Tauheed; Anastasia Ailamaki (EDBT, 2014)

OCTOPUS: Efficient query execution on dynamic mesh datasets. - Farhan Tauheed; Thomas Heinis; Felix Schürmann; Henry Markram; Anastasia Ailamaki (ICDE, 2014)

Data analysis: Approximation aids handling of big data. - Thomas Heinis (Nat., 2014)

Configuring Spatial Grids for Efficient Main Memory Joins. - Farhan Tauheed; Thomas Heinis; Anastasia Ailamaki (BICOD, 2015)

Towards the Identification of Disease Signatures. - Tassos Venetis; Anastasia Ailamaki; Thomas Heinis; Manos Karpathiotakis; Ferath Kherif; Alexis Mitelpunkt; Vasilis Vassalos (BIH, 2015)

Just-In-Time Data Virtualization: Lightweight Data Management with ViDa. - Manos Karpathiotakis; Ioannis Alagiannis; Thomas Heinis; Miguel Branco; Anastasia Ailamaki (CIDR, 2015)

Reconsolidating Data Structures. - Thomas Heinis; Anastasia Ailamaki (EDBT, 2015)

THERMAL-JOIN: A Scalable Spatial Join for Dynamic Workloads. - Farhan Tauheed; Thomas Heinis; Anastasia Ailamaki (SIGMOD Conference, 2015)

RUBIK: efficient threshold queries on massive time series. - Eleni Tzirita Zacharatou; Farhan Tauheed; Thomas Heinis; Anastasia Ailamaki (SSDBM, 2015)

On-the-Fly Data Synopses: Efficient Data Exploration in the Simulation Sciences. - Thomas Heinis; David A. Ham (SIGMOD Rec., 2015)

Hashing-Based Approximate DBSCAN. - Tianrun Li; Thomas Heinis; Wayne Luk (ADBIS, 2016)

TRANSFORMERS: Robust spatial joins on non-uniform data distributions. - Mirjana Pavlovic; Thomas Heinis; Farhan Tauheed; Panagiotis Karras; Anastasia Ailamaki (ICDE, 2016)

Space odyssey: efficient exploration of scientific data. - Mirjana Pavlovic; Eleni Tzirita Zacharatou; Darius Sidlauskas; Thomas Heinis; Anastasia Ailamaki (ExploreDB@SIGMOD/PODS, 2016)

An Efficient Parallel Load-Balancing Framework for Orthogonal Decomposition of Geometrical Data. - Bruno R. C. Magalhães; Farhan Tauheed; Thomas Heinis; Anastasia Ailamaki; Felix Schürmann (ISC, 2016)

eTRIKS analytical environment: A modular high performance framework for medical data analysis. - Axel Oehmichen; Florian Guitton; Kai Sun 005; Jean Grizet; Thomas Heinis; Yike Guo (IEEE BigData, 2017)

Neuromorphic Hardware As Database Co-Processors. - Thomas Heinis (CIDR, 2017)

STATS - A Point Access Method for Multidimensional Clusters. - Giannis Evagorou; Thomas Heinis (DEXA (1), 2017)

BLOCK: Efficient Execution of Spatial Range Queries in Main-Memory. - Matthaios Olma; Farhan Tauheed; Thomas Heinis; Anastasia Ailamaki (SSDBM, 2017)

Data Infrastructure for Medical Research. - Thomas Heinis; Anastasia Ailamaki (Found. Trends Databases, 2017)

ADvaNCE - Efficient and Scalable Approximate Density-Based Clustering Based on Hashing. - Tianrun Li; Thomas Heinis; Wayne Luk (Informatica, 2017)

Efficient Mining of Regional Movement Patterns in Semantic Trajectories. - Dong-Wan Choi; Jian Pei 001; Thomas Heinis (Proc. VLDB Endow., 2017)

QUASII: QUery-Aware Spatial Incremental Index. - Mirjana Pavlovic; Darius Sidlauskas; Thomas Heinis; Anastasia Ailamaki (EDBT, 2018)

Towards Batch-Processing on Cold Storage Devices. - Ali Hadian 001; Thomas Heinis (ICDE Workshops, 2018)

Using Neuromorphic Hardware for the Scalable Execution of Massively Parallel, Communication-Intensive Algorithms. - Louis Blin; Ahsan Javed Awan; Thomas Heinis (UCC Companion, 2018)

Provenance Storage. - Thomas Heinis; Adriane Chapman (Encyclopedia of Database Systems (2nd ed.), 2018)

OligoArchive: Using DNA in the DBMS storage hierarchy. - Raja Appuswamy; Kevin Le Brigand; Pascal Barbry; Marc Antonini; Olivier Madderson; Paul S. Freemont; James McDonald; Thomas Heinis (CIDR, 2019)

Interpolation-friendly B-trees: Bridging the Gap Between Algorithmic and Learned Indexes. - Ali Hadian 001; Thomas Heinis (EDBT, 2019)

Neuromorphic Hardware As Database Co-Processors: Potential and Limitations. - Thomas Heinis (EDBT, 2019)

Efficient Bundled Spatial Range Queries. - Eleni Tzirita Zacharatou; Darius Sidlauskas; Farhan Tauheed; Thomas Heinis; Anastasia Ailamaki (SIGSPATIAL/GIS, 2019)

Parameter Discovery in Unsupervised Clustering. - Valentin Clement; Thomas Heinis (ICDE, 2019)

Considerations for handling updates in learned index structures. - Ali Hadian 001; Thomas Heinis (aiDM@SIGMOD, 2019)

Survey of Information Encoding Techniques for DNA. - Thomas Heinis (CoRR, 2019)

The Vantage Index: Executing Distance Queries at Scale. - Giannis Evagorou; Marco Lavalle; Thomas Heinis (SSDBM, 2020)

MADEX: Learning-augmented Algorithmic Index Structures. - Ali Hadian 001; Thomas Heinis (AIDB@VLDB, 2020)

Hands-off Model Integration in Spatial Index Structures. - Ali Hadian 001; Ankit Kumar; Thomas Heinis (AIDB@VLDB, 2020)

Leveraging Soft Functional Dependencies for Indexing Multi-dimensional Data. - Behzad Ghaffari; Ali Hadian 001; Thomas Heinis (CoRR, 2020)

Open Visualization Environment (OVE): A web framework for scalable rendering of data visualizations. - Senaka Fernando; James Scott-Brown; Ovidiu Serban; David Birch; David Akroyd; Miguel Molina-Solana; Thomas Heinis; Yike Guo (Future Gener. Comput. Syst., 2020)

Generating Synthetic Data for DNA Origami-based Information Storage Systems. - William Hunter; Thomas Heinis; Chandler Low (BICOD, 2021)

Distributed Spatiotemporal Distance Join for Trajectory Data. - Guang Yang 044; Thomas Heinis (e-Science, 2021)

Shift-Table: A Low-latency Learned Index for Range Queries using Model Correction. - Ali Hadian 001; Thomas Heinis (EDBT, 2021)

Browsing Internet Content in Multiple Dimensions. - Tiger Cross; Riccardo Bovo; Thomas Heinis (EDBT/ICDT Workshops, 2021)

SOJA: A Memory-efficent Smallâ€"large Outer Join for MPI. - Liang Liang; Guang Yang 044; Thomas Heinis; David Taniar (EDBT, 2021)

HYPO: skew-resilient partitioning for trajectory datasets. - Giannis Evagorou; Abhirup Ghosh; Thomas Heinis (LocalRec@SIGSPATIAL, 2021)

DNA archival storage, a bottom up approach. - Omer S. Sella; Amir Apelbaum; Thomas Heinis; Jasmine Quah; Andrew W. Moore 002 (HotStorage, 2021)

DNA4DNA: Preserving Culturally Significant Digital Data with Synthetic DNA. - Eugenio Marinelli; Eddy Ghabach; Thomas Bolbroe; Omer S. Sella; Thomas Heinis; Raja Appuswamy (iPRES, 2021)

MAMBO - Indexing Dead Space to Accelerate Spatial Queries✱. - Giannis Evagorou; Thomas Heinis (SSDBM, 2021)

Nanopore Sequencing Simulator for DNA Data Storage. - Eva Gil San Antonio; Thomas Heinis; Louis Carteron; Melpomeni Dimopoulou; Marc Antonini (VCIP, 2021)

Perceived Realism of Pedestrian Crowds Trajectories in VR. - Daniele Giunchi; Riccardo Bovo; Panayiotis Charalambous; Fotis Liarokapis; Alastair Shipman; Stuart James; Anthony Steed; Thomas Heinis (VRST, 2021)

Shall I describe it or shall I move closer? Verbal references and locomotion in VR collaborative search tasks. - Riccardo Bovo; Daniele Giunchi; Enrico Costanza; Anthony Steed; Thomas Heinis (ECSCW, 2022)

Real-time head-based deep-learning model for gaze probability regions in collaborative VR. - Riccardo Bovo; Daniele Giunchi; Ludwig Sidenmark; Hans Gellersen; Enrico Costanza; Thomas Heinis (ETRA, 2022)

MR-RIEW: An MR Toolkit for Designing Remote Immersive Experiment Workflows. - Riccardo Bovo; Daniele Giunchi; Anthony Steed; Thomas Heinis (VR Workshops, 2022)

DNA data storage, sequencing data-carrying DNA. - Jasmine Quah; Omer S. Sella; Thomas Heinis (CoRR, 2022)

Mitigation strategies for participant non-attendance in VR remote collaborative experiments. - Riccardo Bovo; Daniele Giunchi; Enrico Costanza; Anthony Steed; Thomas Heinis (Frontiers Comput. Sci., 2022)

Scalable adaptive optimizations for stream-based workflows in multi-HPC-clusters and cloud infrastructures. - Liang Liang; Rosa Filgueira; Yan Yan; Thomas Heinis (Future Gener. Comput. Syst., 2022)

Cone of Vision as a Behavioural Cue for VR Collaboration. - Riccardo Bovo; Daniele Giunchi; Muna Alebri; Anthony Steed; Enrico Costanza; Thomas Heinis (Proc. ACM Hum. Comput. Interact., 2022)

Digital Preservation with Synthetic DNA. - Eugenio Marinelli; Eddy Ghabach; Yiqing Yan; Thomas Bolbroe; Omer S. Sella; Thomas Heinis; Raja Appuswamy (Trans. Large Scale Data Knowl. Centered Syst., 2022)

Speech-Augmented Cone-of-Vision for Exploratory Data Analysis. - Riccardo Bovo; Daniele Giunchi; Ludwig Sidenmark; Joshua Newn; Hans Gellersen; Enrico Costanza; Thomas Heinis (CHI, 2023)

FLIRT: A Fast Learned Index for Rolling Time frames. - Guang Yang 044; Liang Liang; Ali Hadian 001; Thomas Heinis (EDBT, 2023)

COAX: Correlation-Aware Indexing. - Ali Hadian 001; Behzad Ghaffari; Taiyi Wang; Thomas Heinis (ICDEW, 2023)

Optimization towards Efficiency and Stateful of dispel4py. - Liang Liang; Heting Zhang; Guang Yang 044; Thomas Heinis; Rosa Filgueira (SC Workshops, 2023)

Conditional Variational Diffusion Models. - Gabriel della Maggiora; Luis Alberto Croquevielle; Nikita Desphande; Harry Horsley; Thomas Heinis; Artur Yakimovich (CoRR, 2023)

Towards Migration-Free Just-In-Case Data Archival for Future Cloud Data Lakes. - Eugenio Marinelli; Yiqing Yan; Virginie Magnone; Charlotte Dumargne; Pascal Barbry; Thomas Heinis; Raja Appuswamy (Proc. VLDB Endow., 2023)

In-Network Approximate and Efficient Spatiotemporal Range Queries on Moving Objects. - Guang Yang 044; Abhirup Ghosh; Liang Liang; Thomas Heinis (EDBT, 2024)

Conditional Variational Diffusion Models. - Gabriel della Maggiora; Luis Alberto Croquevielle; Nikita Deshpande; Harry Horsley; Thomas Heinis; Artur Yakimovich (ICLR, 2024)

Fovea Prediction Model in VR. - Daniele Giunchi; Riccardo Bovo; Nitesh Bhatia; Thomas Heinis; Anthony Steed (VR Workshops, 2024)

Upper Bounds for Complexity of Asymptotically Optimal Learned Indexes. - Luis Alberto Croquevielle; Guang Yang 044; Liang Liang; Ali Hadian 001; Thomas Heinis (CoRR, 2024)

An End-to-End Coding Scheme for DNA-Based Data Storage With Nanopore-Sequenced Reads. - Lorenz Welter; Roman Sokolovskii; Thomas Heinis; Antonia Wachter-Zeh; Eirik Rosnes; Alexandre Graell i Amat (CoRR, 2024)

Motif Caller: Sequence Reconstruction for Motif-Based DNA Storage. - Parv Agarwal; Thomas Heinis (CoRR, 2024)

The prospect of artificial intelligence to personalize assisted reproductive technology. - Simon Hanassab; Ali Abbara; Arthur C. Yeung; Margaritis Voliotis; Krasimira Tsaneva-Atanasova; Tom W. Kelsey; Geoffrey H. Trew; Scott M. Nelson; Thomas Heinis; Waljit S. Dhillo (npj Digit. Medicine, 2024)

SWIX: A Memory-efficient Sliding Window Learned Index. - Liang Liang; Guang Yang 044; Ali Hadian 001; Luis Alberto Croquevielle; Thomas Heinis (Proc. ACM Manag. Data, 2024)

Survey of Information Encoding Techniques for DNA. - Thomas Heinis; Roman Sokolovskii; Jamie J. Alnasir (ACM Comput. Surv., 2024)

Single Exposure Quantitative Phase Imaging with a Conventional Microscope Using Diffusion Models. - Gabriel della Maggiora; Luis Alberto Croquevielle; Harry Horsley; Thomas Heinis; Artur Yakimovich (AAAI, 2025)

DNA data storage: A generative tool for Motif-based DNA storage. - Samira Brunmayr; Omer S. Sella; Thomas Heinis (FAST, 2025)

Beyond Logarithmic Bounds: Querying in Constant Expected Time with Learned Indexes. - Luis Alberto Croquevielle; Guang Yang 044; Liang Liang; Ali Hadian 001; Thomas Heinis (ICDT, 2025)

Inclusive Training Separation and Implicit Knowledge Interaction for Balanced Online Class-Incremental Learning. - Shunjie Wen; Thomas Heinis; Dong-Wan Choi (CoRR, 2025)

A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach. - Taiyi Wang; Liang Liang; Guang Yang 044; Thomas Heinis; Eiko Yoneki (Proc. ACM Manag. Data, 2025)

Coding Over Coupon Collector Channels for Combinatorial Motif-Based DNA Storage. - Roman Sokolovskii; Parv Agarwal; Luis Alberto Croquevielle; Zijian Zhou; Thomas Heinis (IEEE Trans. Commun., 2025)

A mapping of the Min-Sum decoder to reduction operations, and its implementation using CUDA kernels. - Omer S. Sella; Thomas Heinis (CoRR, 2025)