Anastasia Ailamaki

Anastasia Ailamaki is a Professor[1] of Computer Sciences at the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland and the Director of the Data-Intensive Applications and Systems (DIAS) lab. She is also the co-founder of RAW Labs SA, a Swiss company developing real-time analytics infrastructures for heterogeneous big data. Formerly, she was an associate professor of computer science at Carnegie Mellon School of Computer Science.[2]

Anastasia Ailamaki
Born
Cyprus
NationalityGreek
Alma materUniversity of Patras
Technical University of Crete
Rochester University
University of Wisconsin-Madison
Scientific career
FieldsComputer science
InstitutionsCarnegie Mellon University
École Polytechnique Fédérale de Lausanne
Websitehttps://dias.epfl.ch/

Anastasia's research interests are in the broad area of database systems and applications, with emphasis on database system behavior on modern processor hardware and disks. Her projects aim at building systems to strengthen the interaction between the database software and the underlying hardware and I/O devices. She is also working on automated schema design and computational database support for scientific applications, as well as storage device modeling, performance prediction, and internet query caching.

Anastasia studied computer science at the University of Patras, and earned her first master's degree at the Technical University of Crete followed by a second diploma from the University of Rochester. She received her Ph.D. in computer science from the University of Wisconsin-Madison in 2000.[3]

She is the recipient of ten Best Paper and Best Demo awards and was awarded Young Investigator Award by the European Science Foundation. In 2013 she received an ERC Consolidator Award for the ViDa: Transforming raw data into information through virtualization project. She is an IEEE and an ACM Fellow, a member of Academia Europaea, and the Vice Chair of the Special Interest Group of Management of Data (SIGMOD) within the Association for Computing Machinery.[4] She is a member of the Expert Network of the World Economic Forum and CRA-W mentor.

Anastasia is the author of over 200 peer-reviewed articles published in such journals as the Conference on Innovative Data Systems Research, VLDB, SIGMOD, ACM Transactions on Database Systems.

Honors and Awards
  1. ACM SIGMOD Edgar F. Codd Innovations Award (2019): the SIGMOD Edgar F. Codd Innovations Award is given for innovative and highly significant contributions of enduring value to the development, understanding, or use of database systems.
  2. NEMITSAS Prize 2018 in Computer Science: the President of the Republic of Cyprus, on behalf of the Takis and Louki Nemitsas Foundation, presents the Nemitsas Prize to one laureate for contributions in his/her scientific field which have been recognized at an international level.
  3. IEEE Fellow (since 01/2018): “For contributions to hardware-conscious database systems and scientific data management”: IEEE Fellow is a distinction reserved for select IEEE members whose extraordinary accomplishments in any of the IEEE fields of interest are deemed fitting of this prestigious grade elevation.
  4. ACM Fellow (since 01/2015): “For contributions to the design, implementation, and evaluation of modern database systems”: ACM's most prestigious member grade recognizes the top 1% of ACM members for their outstanding accomplishments in computing and information technology and/or outstanding service to ACM and the larger computing community.
  5. Elected Vice Chair, ACM SIGMOD Executive Committee (2013-2017)
  6. ACM SIGMOD Doctoral Dissertation Award, for the thesis of Ryan Johnson, 2012: this award is the ACM SIGMOD’s highest recognition of excellent research by doctoral candidates in the database field.
  7. European Young Investigator Award from the European Science Foundation, 2007: EurYI is a 1M Euro research grant which recognizes excellent track record and the applicant’s potential to become world class leader in their chosen field of research.
  8. Finmeccanica fellowship from Computer Science Department at Carnegie Mellon, 2007: endowed in 1989, the Italian Finmeccanica Fellowship "acknowledges promising young faculty members in the field of computer science".
  9. Sloan Research Fellowship, February 2005: the Sloan Research Fellowship awards are intended to enhance the careers of the very best young faculty members in specified fields of science.
  10. NSF Faculty Early CAREER Award (CAREER), 2002: the CAREER program replaced the Presidential Young Investigator (PYI) program in 1995. Awardees are selected from among the most meritorious junior investigators funded by the National Science Foundation (NSF).
  11. IBM University Faculty Partnership Award, 2001–02, 2002–03, 2003-04: this highly competitive award recognizes the quality of faculty research programs and their importance to industry.
  12. Carnegie Mellon University Berkman Faculty Development Award, 2001
  13. University of Wisconsin - Madison Anthony C. Klug NCR Graduate Fellowshipin Database Systems, 1998–2000.
  14. Ranked 3rdin the 2nd Panhellenic Mathematics Olympiad. Athens, Greece, 1985.
  15. Honor medal in the 3nd Panbalcanic Mathematics Olympiad. Sofia, Bulgaria, 1985.

PhD Theses
  1. Georgios Psaropoulos. “Improving Main-memory Database System Performance through Cooperative Multitasking”, School of Computer and Communication Sciences, DIAS Laboratory, EPFL Thesis no 9712, October 2019.
  2. Matthaios Alexandros Olma. “Timely and cost-efficient data exploration through adaptive tuning”, School of Computer and Communication Sciences, DIAS Laboratory, EPFL Thesis no 9636, October 2019.
  3. Eleni Tzirita-Zacharatou. “Efficient Query Processing for Spatial and Temporal Data Exploration”, School of Computer and Communication Sciences, DIAS Laboratory, EPFL Thesis no 9637, August 2019.
  4. Mirjana Pavlovic. “Time- and Space-Efficient Spatial Analytics”, School of Computer and Communication Sciences, DIAS Laboratory, EPFL Thesis no 9130, February 2019.
  5. Manos Karpathiotakis. “Just-in-time Analytics over Heterogeneous Data and Hardware”, School of Computer and Communication Sciences, DIAS Laboratory, EPFL Thesis no 8077, November 2017. EPFL Dimitris N. Chorafas Foundation Award (winner, 2018).
  6. Iraklis Psaroudakis. “Scaling Up Concurrent Analytical Workloads on Multi-Core Servers”, School of Computer and Communication Sciences, DIAS Laboratory, EPFL Thesis no 7222, October 2016.
  7. Renata Borovica-Gajic. “Toward timely, predictable and cost-effective data analytics”, School of Computer and Communication Sciences, DIAS Laboratory, EPFL Thesis no 7140, September 2016.
  8. Danica Porobic. “High-Performance Transaction Processing on Non-Uniform Hardware Topologies”, School of Computer and Communication Sciences, DIAS Laboratory,EPFL Thesis no 7023, April 2016.
  9. Ioannis Alagiannis. “Adaptive Query Processing on Raw Data Files”, School of Computer and Communication Sciences, DIAS Laboratory,EPFL Thesis no 6644, May 2015.
  10. Adrian Popescu. “Runtime Prediction for Scale-Out Data Analytics”, School of Computer and Communication Sciences, DIAS Laboratory,EPFL Thesis no 6629, May 2015.
  11. Pinar Tözün. “Transactions Chasing Scalability and Instruction Locality on Multicores”,School of Computer and Communication Sciences, DIAS Laboratory,EPFL Thesis no 6411, October 2014. ACM SIGMOD Jim Gray Doctoral Dissertation Award (honorable mention, 2016).
  12. Farhan Tauheed. “Scalable Exploration of Spatial Data in Large-Scale Scientific Simulations”, School of Computer and Communication Sciences, DIAS Laboratory,EPFL Thesis no 6125, February 2014.
  13. Radu Stoica. “Flash-aware Database Transactions”, School of Computer and Communication Sciences, DIAS Laboratory,EPFL Thesis no 6121, February 2014.
  14. Manoussos-Gavriil Athanassoulis. “Solid-State Storage and Work Sharing for Efficient Scaleup Data Analytics”, School of Computer and Communication Sciences, DIAS Laboratory, EPFL Thesis no 6032, December 2013.
  15. Ippokratis Pandis. “Scalable transaction processing through data-oriented execution” Department of Electrical and Computer Engineering, Carnegie Mellon University, May 2012.
  16. Ryan Johnson. “Scalable Storage Managers for the Multi-Core Era” Department of Electrical and Computer Engineering, Carnegie Mellon University, December 2010. ACM SIGMOD Jim Gray Doctoral Dissertation Award (winner, 2012).
  17. Debabrata Dash. “Automated Physical Design: A Combinatorial Optimization Approach” Ph.D. dissertation available as Technical Report CMU-CS-11-104, School of Computer Science, Carnegie Mellon University, February 2011.
  18. Nikos Hardavellas. “Chip-Multiprocessors for Server Workloads” Ph.D. Thesis, School of Computer Science, Carnegie Mellon University, July 2009.
  19. Minglong Shao. “Efficient data organization and management on heterogeneous storage hierarchies” Ph.D. dissertation available as Technical Report CMU-CS-07-170, School of Computer Science, Carnegie Mellon University, December 2007.
  20. Stratos Papadomanolakis. “Automated Database Design for Large-Scale Scientific Applications”. Ph.D. Thesis, Department of Electrical and Computer Engineering, Carnegie Mellon University, May 2007
  21. Christopher Colohan. “Applying Thread-Level Speculation to Database Transactions”. Ph.D. dissertation available as Technical Report CMU-CS-05-188, School of Computer Science, Carnegie Mellon University, November 2005.
  22. Stavros Harizopoulos. “Staged Database Systems”. Ph.D. dissertation available as Technical Report CMU-CS-05-194, School of Computer Science, Carnegie Mellon University, December 2005.
  23. Shimin Chen. “Redesigning Database Systems in Light of CPU Cache Prefetching”. Ph.D. dissertation available as Technical Report CMU-CS-05-192, School of Computer Science, Carnegie Mellon University, December 2005.
  24. Mengzhi Wang. “Performance Modeling of Storage Devices Using Machine Learning”. Ph.D. dissertation available as Technical Report CMU-CS-05-185, School of Computer Science, Carnegie Mellon University, January 2006.

Selected Conference Keynotes and Distinguished Invited Talks
  1. "JIT Works: Embracing Homogeneity to Scalabe Data analytics”. Keynote at the 7thACM IKDD CoDS and 25thCOMAD, Hyderabad, India, January 2020.
  2. “Intelligent Real-time Query Engines”.  Keynote at IEEE DSC 2019, Hangzhou, China, June 2019.
  3. "Hardware-conscious Query Processing in GPU-accelerated Analytical Engines”. Keynote at the SAP HANA Database Campus - Open House 2019, Walldorf, Germany, May 2019.
  4. “Innovation in distributed data management – implications for health care”. Invited talk at the Healthcare Data Institute, Paris, France, September 2018.
  5. “RAW – Fast Analysis on All Kinds of Data”. Keynote at the Brazilian Symposium on Databases (SBBD), Rio de Janeiro, Brazil, August 2018.
  6. "Caching in the memory hierarchy: 5 Minutes Ought to be Enough for Everybody”. Keynote at the Joint Workshop of HardBD & Active’18, Paris, France, April 2018.        
  7. “The next 700 Transaction Processing Engines”. Keynote at the Ph.D. Workshop of the 41stInternational Conference on Very Large Data Bases (VLDB), Munich, Germany, August 2017.
  8. "Fast, just-in-time queries on heterogeneous scientific data”. Keynote at the International Conference on Computational Science (ICCS), Zurich, Switzerland, June 2017.
  9. “The next 700 Transaction Processing Engines”. Opening Keynote at the 2017 ACM International Conference on Management of Data (SIGMOD), Chicago, Illinois, USA, May 2017.
  10. “Fast, just-in-time queries on heterogeneous scientific data”. Keynote at the 12th IEEE International Conference on eScience, Baltimore, MD, October 2016.
  11. “Databases and Hardware: The Beginning and Sequel of a Beautiful Friendship”. Keynote at the 41stInternational Conference on Very Large Data Bases (VLDB), Kona, Hawaii, September 2015.
  12. “Running with scissors: Fast queries on just-in-time databases”. Opening Keynote at the 30thIEEE International Conference on Data Engineering (ICDE), Chicago, Illinois, April 2014. Same-title talk invited as a special seminar at the MIT Big Data Initiative, October 2014.
  13. "Discovering the human brain through big data exploration”. Invited Talk at the French Academy of Sciences, February 2014.
  14. "Scientific Data Management: Not your everyday transaction”. Invited Seminar at the College de France, March 2012.

References
  1. "Anastasia Ailamaki appointed as a full professor of computer science". École Polytechnique Fédérale de Lausanne. Archived from the original on 24 December 2013. Retrieved 22 December 2013.
  2. "Anastasia Ailamaki". Retrieved 5 February 2019.
  3. Matsaidoni, Theodora. "Professor Anastasia Ailamaki Thrives Abroad | Greek Reporter Europe". Retrieved 5 February 2019.
  4. "Anastasia Ailamaki". École Polytechnique Fédérale de Lausanne. Retrieved 5 February 2019.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.