Ph.D. Graduates

• 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 Tozun, “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 Databas 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

Visiting Professors

• 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
  

Post-docs

• 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, Cyprus University of Technology, Cyprus

Engineers

• César Matos, RAW Labs, CH
  
• Benjamin Gaidioz, RAW Labs, CH
  
• Diane Perez

Visiting Ph.D. Students

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

Master Students

EPFL

• Junze Bao, “Adaptive Compression Optimization for Effective Pruning in SAP HANA”, 2018
• Daniel Forte, “Database Version Control System for Entreprises, , 2017
• Ruslan Taran, “Machine Learning for Data Risk Management”, 2015
• Matthaios Alexandros Olma, “Efficient execution of spatial range queries in main-memory”, 2013

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

Interns/Semester project students