EPFL

• Aunn Raza, Efficient Operational Analytics on Fresh Data, August 2024, Oracle, CH
• Viktor Sanca, Efficient Approximate Analytics via Adaptive Context-Conscious Query Processing, August 2024, Oracle, USA
• Panagiotis Sioulas, Efficient Concurrent Analytical Query Processing using Data and Workload-conscious Sharing, May 2023, Oracle, CH
• Periklis Chrysogelos, “Efficient Analytical Query Processing on CPU-GPU Hardware Platforms”, August 2022, Oracle, CH 
• Stella Giannakopoulou, “Holistic, efficient, and real-time cleaning of heterogeneous data”, November 2021, Oracle, CH
• Utku Sirin, “Micro-architectural Analysis of Database Workloads”, 2021, Harvard University, USA
• Georgios Psaropoulos, “Improving main-memory database systems performance through cooperative multitasking”, 2019, Oracle, CH
• Matthaios-Alexandros Olma, “Timely and cost-efficient data exploration through adaptive tuning”, 2019, Microsoft Research, USA
• Eleni Tzirita-Zacharatou, “Efficient Query Processing for Spatial and Temporal Data Exploration”, 2019, TU Berlin, DE
• Mirjana Pavlovic, “Time- and Space-Efficient Spatial Data Analysis”, 2019, Sqooba, CH
• Manos Karpathiotakis, “Just-in-time Analytics Over Heterogeneous Data and Hardware“, 2018, Facebook, UK
• Iraklis Psaroudakis, “Scaling Up Concurrent Analytical Workloads on Multi-Core Servers”, 2016, Oracle Zurich, CH
• Renata Borovica-Gajic, “Toward timely, predictable and cost-effective data analytics”, 2016, University of Melbourne, Australia,
• Danica Porobic, “High Performance Transaction Processing on Non-Uniform Hardware Topologies”, 2016, Oracle, Redwood Shores, CA, USA
• Adrian Popescu, “Runtime Prediction for Scale-Out Data Analytics”, 2015, Unravel Data, CH
• Ioannis Alagiannis, “Adaptive Query Processing on Raw Data Files”, 2015, Microsoft Research, USA
• Pinar Tözün, “Transactions Chasing Scalability and Instruction Locality on Multicores”, 2014, IT University of Copenhagen, Denmark
• Farhan Tauheed, “Scalable Exploration of Spatial Data in Large-Scale Scientific Simulations”, 2014, Oracle Zurich, CH
• Radu Stoica, “Flash-aware Database Transactions”, 2014, IBM Zurich, CH
• Manos Athanassoulis, “Solid-State Storage and Work Sharing for Efficient Scaleup Data Analytics”, 2013, Boston University, USA

Carnegie Mellon University

• Ippokratis Pandis, “Scalable transaction processing through data-oriented execution”, 2011, IBM Almaden
• Debabrata Dash, “Automated physical design: A combinatorial optimization approach“, 2011, HP Labs
• Nikos Hardavellas, “Chip multiprocessors for server workloads”, 2009, Northwestern University
• Ryan Johnson, “Scalable storage managers for the multicore era”,  2010, University of Toronto
• Minglong Shao, “Efficient data organization and management on heterogeneous storage hierarchies”, 2007, NetApp
• Stratos Papadomanolakis, “Automated database design for large-scale scientific applications”, 2007, Oracle Corporation
• Mengzhi Wang, “Storage device performance modeling using machine learning techniques”, 2006, Google
• Christopher Colohan, “Applying thread -level speculation to database transactions”, 2005. Google
• Stavros Harizopoulos, “Staged database systems”, 2005, HP Labs
• Shimin Chen, “Redesigning database systems in light of CPU cache prefetching “, 2005, Intel

M.Sc. Students

EPFL

• Yu Liangyong, “Exploiting NVMe SSD Arrays in Columnar Storage Engine”, 2024
• Saied Youssef Mohamed Mohamed, “Distance-based anomaly detection”, 2023
• Müller Quentin Denis, “Cloud Data Platforms Serving the Data”, 2023
• Juillard Paul Emile Jean, “Enabling Big Graphs Transformation: Interactive Repair for Neighborhood Constraints”, 2023
• Zhao Shihan, “Insights in Serverless Query Processing”, 2023
• Yuan Lin, “An Adaptive On-premises/In-cloud Framework for Cost-efficient Analytical Processing”, 2023
• Shen Tianxiao, “Extending a Streaming Database with User-Defined Functions”, 2023
• Ollquist Sébastien, “Near-Optimal Approximate Extraction of Sequential Patterns from Extensive Data Streams”, 2023
• Chen Jingrong, “Benchmarking and Data Locality Aware Optimization for Serverless Query Engine”, 2023
• Daija Rubin, “Loki: Compression in JIT compiled database engine”, 2022
• Tristan Bugnot, “JIT Query Operators for Complex Data using GraalVM”, 2021
• Christina Mantonanaki, “Analyzing and Improving Database Statistics for In-Memory Analytical Query Processing”, 2021
• Arnaud Garin, “Evaluation of EquiJoins in Shared Nothing Architectures”, 2021
• Kirusanth Poopalasingam, “SpatialPGM: A learned spatial index”, 2021
• Eleonora Rocchi, “Speculative execution of complex queries”, 2021
• Vincenzo Bazzuchi, “Dynamic resource allocation for online classification and personally identifiable information extraction”, 2020
• Quentin Bouvet, “Scalable algorithms for pattern detection in out-of-order event streams”, 2020
• Marc Jolles, “DBMS workload characterization and prediction with machine learning for knob recommendation in SaaS platforms”, 2020
• Jelena Malic, “Machine Learning Driven Approach to Indoor Customer Detection”, 2020
• Nemanja Stojoski, “Performance Optimization of a Distributed In-Memory Query Processing System”, 2020
• Timothee Bronner, “Using unsupervised learning to find problematic patterns in a communication network”, 2020
• Mikael Morales, “Efficient property projections in an in-memory graph query runtime”, 2020
• Ciprian Baetu, “In-Memory Graph Query Runtime inside Relational Databases”, 2019
• Mattia Martinelli, “Efficient data cleaning in the presence of multiple types of errors”, 2019
• Ken Monbaron, “Confidentiality-preserving analysis of electronic auto-injector databases in R”, 2019
• Konstantinos Tsitsimpikos, “Maximizing resource utilization through data-source aware scheduling in modern clusters”, 2019
• Junge Bao, “Adaptive Compression Optimization for Effective Pruning in SAP HANA”, 2018
• Moritz Fabian Raho, “Analysis of work placement strategies for NUMA aware distributed execution with RDMA support”, 2018
• Daniel Marques Forte, “Database Version Control System for Enterprises”, 2017.
• Maximilian X. Czerny, “Parallel Bulk-Loading and Structural Changes for the PH-Tree”, 2016
• Fabien Schmitt, “Brain ExpO: and iPad application for interactive exploration of spatial brain data”, 2015
• Ruslan Taran, “Machine Learning for Data Risk Management”, 2015
• Ioannis Kostis, “Analytical Performance Modelling of Join Operations in a Column Store”, 2014
• Florian Laurent, “Visualization of operational monitoring data for the ATLAS experiment”, 2014
• Trupti Gaikwad, “Storage techniques for analytical processing in RAMCloud”, 2013
• Mouna Mahouachi, “Systematic Database Sizing in Database Cloud”, 2013
• Matthaios Alexandros Olma, “Efficient in-memory multilayer grid spatial index for range queries”, 2013.
• Oana-Maria Vasilescu, “NoSQL Graph-Based Implementation of a Records Management Software Solution”, 2013
• Andrei Marian Dan, “High-performance Solid-state Memory Management Functions for Enterprise Storage Systems”, 2012
• Mark Brightwell, “Data acquisition statistics and filtering mechanisms for technical infrastructure monitoring”, 2009
• Joël Israël: “Critical Analysis of softwares and databases used in mouse research”, 2008

Carnegie Mellon University

• Naju G. Mancheril, “Thread and Memory Management in Staged Database Systems”, 2004
• Vladislav Shkapenyuk,  2004
• Stratos Papadomanolakis, “Automated Schema Partitioning for Large Databases”, 2003

Post-docs

• Haoqiong Bian, 2023, Renmin University of China
• Ioannis Mytilinis, 2021, Oracle, CH
• Srinivas Karthik, 2021, Huawei, India
• Bikash Chandra, 2021, Meta, USA
• Angelos-Christos Anadiotis, 2019, Ecole Polytechnique de Paris, FR
• Odysseas Papapetrou, 2018, Eindhoven University of Technology, NL
• Foteini Alvanaki, 2018, Amazon, UK
• Tahir Azim, 2018, Amazon, Australia
• Darius Sidlauskas, 2018, Credit Suisse, CH
• Raja Appuswamy, 2018, Eurecom, France
• Satya Valluri, 2016, Oracle, USA
• Xuesong Lu, 2015
• Miguel Branco, 2015, RAW Labs, CH
• Thomas Heinis, 2014, Imperial College, UK
• Erietta Liarou, 2014, Harvard University, USA
• Verena Kantere, 2010, NTUA, GR & University of Ottawa, CA

Engineers

• César Matos, RAW Labs, CH.
• Benjamin Gaidioz, RAW Labs, CH
• Diane Perez, MoviOPENIT, CH
• Lionel Sambuc, BlueBotics, CH

Visiting Professors

• Angelos-Christos Anadiotis, 2019, Ecole Polytechnique de Paris, FR
• Rakesh Agrawal, 2017, Data Insights Laboratory, USA
• Susan Davidson, 2014, University of Pennsylvania, USA
• Andreas Moshovos, 2011, University of Toronto, Canada
• Alkis Polyzotis, 2010, University of California, Santa Cruz, USA

Visiting Ph.D. Students

• Sadegh Nobari, 2012 (National University of Singapore)
• Stratos Idreos, 2010 (CWI)
• Laurynas Biveinis, 2010 (Aalborg University)

Internships and Research Scholars