Ramon Antonio Rodriges Zalipynis
- Associate Professor:Faculty of Computer Science / School of Software Engineering
- Ramon Antonio Rodriges Zalipynis has been at HSE University since 2015.
Education and Degrees
- 2013
Candidate of Sciences* (PhD)
- 2008
Master's
Donetsk National Technical University
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
PhD Students
I am currently seeking Ph.D. students. If you would like to work with me, please contact me by email and apply to the graduate programs in Computer Science (here).
Young Faculty Support Program (Group of Young Academic Professionals)
Category "New Lecturers under 30" (2016-2017)
Talks
VLDB 2018 (Very Large Data Bases)
The only talk with Russian Affiliation at VLDB for the last 10 years (2009–2018) and the first talk from the Higher School of Economics.
SIGMOD 2019 (ACM Special Interest Group on Management of Data)
This is the 7th paper at SIGMOD with Russian affiliation for all the years of the SIGMOD conference (1975 – 2019, 45 years) and the first from the Higher School of Economics.
VLDB 2020 (Very Large Data Bases)
This is the 2nd paper at VLDB with Russian affiliation for the last 10 years (2010–2020) and the 2nd paper from the Higher School of Economics (please, see the info about the 1st paper above).
SIGMOD 2021 (ACM Special Interest Group on Management of Data)
The 3rd full paper at SIGMOD for all the years of the SIGMOD conference (1975–2021, 47 years), where the first author is from a Russian institution. This is also the 10th paper at SIGMOD, where at least one author is from a Russian institution (taking into account all types of papers) for all the years of the SIGMOD conference. This is the 2nd paper from the HSE University (please, check the first paper above).
The paper presents a novel Research & Development direction in the area of Array DBMS
VLDB 2021 (Very Large Data Bases)
The 1st Tutorial from a Russian institution at VLDB. Talk duration: 90 minutes (1.5 hours). The Tutorial is in the main conference program. Only 8 tutorials are accepted to VLDB 2021.
Courses (2023/2024)
- Geospatial Data Science (Master’s programme; Faculty of Computer Science; 1 year, 1, 2 module)Eng
- Geospatial Data Science (Mago-Lego; 1, 2 module)Eng
- Mathematical Modeling and Simulation (Bachelor’s programme; Faculty of Computer Science; 4 year, 1-3 module)Eng
- Research Seminar "Geographic Information Systems" (Bachelor’s programme; Faculty of Computer Science; 1 year, 1-3 module)Rus
- Research Seminar "Swarm Intelligence Algorithms" (Bachelor’s programme; Faculty of Computer Science; 4 year, 1-3 module)Rus
- Spatial Data Management (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Eng
- Past Courses
Courses (2022/2023)
- Computer Networks (Bachelor’s programme; Faculty of Computer Science; 3 year, 3, 4 module)Eng
Geospatial Data Science (Master’s programme; Faculty of Computer Science; field of study "01.04.02. Прикладная математика и информатика", field of study "01.04.02. Прикладная математика и информатика"; 1 year, 1, 2 module)Eng
- Mathematical Modeling and Simulation (Bachelor’s programme; Faculty of Computer Science; 4 year, 1-3 module)Eng
- Research Seminar "Digital Imaging" (Bachelor’s programme; Faculty of Computer Science; 2 year, 1-3 module)Rus
- Research Seminar "Geographic Information Systems" (Bachelor’s programme; Faculty of Computer Science; 1 year, 1-3 module)Rus
- Research Seminar "Swarm Intelligence Algorithms" (Bachelor’s programme; Faculty of Computer Science; 4 year, 1-3 module)Rus
- Spatial Data Management (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Eng
Courses (2021/2022)
- Computer Networks (Bachelor’s programme; Faculty of Computer Science; 3 year, 3, 4 module)Eng
- Geospatial Data Science (Master’s programme; Faculty of Computer Science; 1 year, 1, 2 module)Eng
- Research Seminar "Geographic Information Systems" (Bachelor’s programme; Faculty of Computer Science; 1 year, 1-3 module)Rus
- Research Seminar "Swarm Intelligence Algorithms" (Bachelor’s programme; Faculty of Computer Science; 4 year, 1-3 module)Rus
Courses (2020/2021)
- Algorithms and Data Structures (Bachelor’s programme; Faculty of Computer Science; 2 year, 1-4 module)Rus
- Computer Networks (Bachelor’s programme; Faculty of Computer Science; 3 year, 3, 4 module)Eng
- Research Seminar "Geographic Information Systems" (Bachelor’s programme; Faculty of Computer Science; 1 year, 3 module)Rus
Courses (2019/2020)
- Algorithms and Data Structures (Bachelor’s programme; Faculty of Computer Science; 2 year, 1-4 module)Rus
- Research Seminar 'Geographic Information Systems" (Bachelor’s programme; Faculty of Computer Science; 1 year, 1-3 module)Rus
Courses (2018/2019)
- Computer Networks (Bachelor’s programme; Faculty of Computer Science; 3 year, 3, 4 module)Eng
- Geoapplications Development (Bachelor’s programme; Faculty of Computer Science; 3 year, 1, 2 module)Eng
- Research Seminar 'Geographic Information Systems" (Bachelor’s programme; Faculty of Computer Science; 1 year, 1-3 module)Rus
Courses (2017/2018)
- Operating Systems (Bachelor’s programme; Faculty of Computer Science; 2 year, 3, 4 module)Rus
- Research Seminar 'Geographic Information Systems" (Bachelor’s programme; Faculty of Computer Science; 1 year, 1-3 module)Rus
Selected conferences
VLDB is a top conference in the area of Big Data, Distributed Systems and Databases.
The only talk with Russian Affiliation at VLDB for the last 10 years (2009–2018) and the first talk from the Higher School of Economics.
ACM SIGMOD International Conference on Management of Data (SIGMOD) is a top conference on Management of Data and Databases.
This is the 7th paper at SIGMOD with Russian affiliation for all the years of the SIGMOD conference (1975 – 2019, 45 years) and the first from the Higher School of Economics.
VLDB is a top conference in the area of Big Data, Distributed Systems and Databases.
The 2nd paper with Russian Affiliation at VLDB for the last 10 years (2010–2020) and the 2nd paper from the Higher School of Economics (please, see the info about the first paper below).
ACM SIGMOD International Conference on Management of Data (SIGMOD) is a top conference on Management of Data and Databases.
The 3rd full paper at SIGMOD for all the years of the SIGMOD conference (1975–2021, 47 years), where the first author is from a Russian institution. This is also the 10th paper at SIGMOD, where at least one author is from a Russian institution (taking into account all types of papers) for all the years of the SIGMOD conference. This is the 2nd paper from the HSE University (please, check the first paper above).
The paper presents a novel Research & Development direction in the area of Array DBMS.
VLDB is a top conference in the area of Big Data, Distributed Systems and Databases.
The 1st Tutorial from a Russian institution at VLDB. Talk duration: 90 minutes (1.5 hours). The Tutorial is in the main conference program. Only 8 tutorials are accepted to VLDB 2021.
Selected publications
R.A. Rodriges Zalipynis. ChronosDB: Distributed, File Based, Geospatial Array DBMS. PVLDB, 11(10): 1247-1261, 2018. PDF
The only full paper at VLDB with Russian affiliation for the last 10 years (2009–2018) and the first from Higher School of Economics.
R.A. Rodriges Zalipynis. ChronosDB in Action: Manage, Process, and Visualize Big Geospatial Arrays in the Cloud. ACM SIGMOD International Conference on Management of Data, June 30-July 5, 2019, Amsterdam, The Netherlands.
This is the 7th paper at SIGMOD with Russian affiliation for all the years of the SIGMOD conference (1975 – 2019, 45 years) and the first from the Higher School of Economics.
R.A. Rodriges Zalipynis.BitFun: Fast Answers to Queries with Tunable Functions in Geospatial Array DBMS. PVLDB, 13(12), 2020.
The 2nd paper with Russian Affiliation at VLDB for the last 10 years (2010–2020) and the 2nd paper from the Higher School of Economics (please, see the info about the first paper above).
R. A. Rodriges Zalipynis. Convergence of Array DBMS and Cellular Automata: A Road Traffic Simulation Case. ACM SIGMOD International Conference on Management of Data, 2021. (in press)
The 3rd full paper at SIGMOD for all the years of the SIGMOD conference (1975–2021, 47 years), where the first author is from a Russian institution. The paper presents a novel Research & Development direction in the area of Array DBMS.
R. A. Rodriges Zalipynis. Array DBMS: Past, Present, and (Near) Future. VLDB 2021. (in press)
The 1st Tutorial from a Russian institution at VLDB. Talk duration: 90 minutes (1.5 hours). The Tutorial is in the main conference program. Only 8 tutorials are accepted to VLDB 2021.
My DBLP and ACM DL Profiles
IEEE Collabratec Profile
20231
20222
- Article Rodriges Zalipynis R. A. SimDB in Action: Road Traffic Simulations Completely Inside Array DBMS // PROCEEDINGS OF THE VLDB ENDOWMENT. 2022. Vol. 15. No. 12. P. 3742-3745. doi
- Article Rodriges Zalipynis R. A., Terlych N. WebArrayDB: A Geospatial Array DBMS in Your Web Browser // PROCEEDINGS OF THE VLDB ENDOWMENT. 2022. Vol. 15. No. 12. P. 3622-3625. doi
20215
- Article Rodriges Zalipynis R. A. Array DBMS: Past, Present, and (Near) Future // PROCEEDINGS OF THE VLDB ENDOWMENT. 2021. Vol. 14. No. 12. P. 3186-3189. doi
- Chapter Rodriges Zalipynis R. A. Convergence of Array DBMS and Cellular Automata: A Road Traffic Simulation Case, in: SIGMOD/PODS '21: Proceedings of the 2021 International Conference on Management of Data. NY : ACM, 2021. P. 2399-2403. doi
- Chapter Bykov K., Rodriges Zalipynis R. A. First Results of Performance Evaluation of Geospatial Raster Data Processing Systems, in: Proceedings of the international Conference "Russian Supercomputing Days 2021". Max press, 2021. doi P. 147-148.
- Chapter Terlych N., Rodriges Zalipynis R. A. Jupyter Lab Based System for Geospatial Environmental Data Processing, in: Proceedings of the Future Technologies Conference (FTC) 2020 Vol. 2. Springer, 2021. doi P. 627-638. doi
- Chapter Rodriges Zalipynis R. A. Towards Machine Learning in Distributed Array DBMS: Networking Considerations, in: Machine Learning for Networking: Third International Conference, MLN 2020, Paris, France, November 24–26, 2020, Revised Selected Papers. Springer, 2021. P. 284-304. doi
20201
20192
- Chapter Rodriges Zalipynis R. A. ChronosDB in Action: Manage, Process, and Visualize Big Geospatial Arrays in the Cloud, in: Proceedings of the ACM SIGMOD International Conference on Management of Data. NY : ACM, 2019. P. 1985-1988. doi
- Chapter Rodriges Zalipynis R. A. Evaluating Array DBMS Compression Techniques for Big Environmental Datasets, in: Proceedings of the 2019 IEEE 10th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). IEEE, 2019. P. 859-863. doi
20184
- Chapter Rodriges Zalipynis R. A., Pozdeev E., Bryukhov A. Array DBMS and Satellite Imagery: Towards Big Raster Data in the Cloud, in: Analysis of Images, Social Networks and Texts. 6th International Conference, 2017, Revised Selected Papers / Ed. by W. M. van der Aalst, D. I. Ignatov, M. Khachay, S. Kuznetsov, V. Lempitsky, I. A. Lomazova, A. Napoli, A. Panchenko, P. M. Pardalos, A. V. Savchenko, S. Wasserman. Vol. 10716. Cham : Springer, 2018. doi P. 267-279. doi
- Chapter Rodriges Zalipynis R. A. ChronosDB: Distributed, File Based, Geospatial Array DBMS, in: Proceedings of the VLDB Endowment Vol. 11. Issue 10. VLDB Endowment, 2018. P. 1247-1261. doi
- Chapter Rodriges Zalipynis R. A. Distributed In Situ Processing of Big Raster Data in the Cloud, in: Perspectives of System Informatics - 11th International Andrei P. Ershov Informatics Conference, PSI 2017, Moscow, Russia, June 27-29, 2017, Revised Selected Papers, Lecture Notes in Computer Science / Ed. by A. K. Petrenko, A. Voronkov. Vol. 10742. Springer, 2018. doi P. 337-351. doi
- Chapter Rodriges Zalipynis R. A. Generic Distributed In Situ Aggregation for Earth Remote Sensing Imagery, in: Proceedings of Analysis of Images, Social Networks and Texts – 7th International Conference, AIST 2018, Moscow, Russia, July 5-7, 2018, Revised Selected Papers. Lecture Notes in Computer Science / Ed. by W. M. van der Aalst, V. Batagelj, G. Glavaš,, D. I. Ignatov, M. Khachay, O. Koltsova, S. Kuznetsov, I. A. Lomazova, N. Loukachevitch,, A. Napoli,, A. Savchenko, A. Panchenko,, P. M. Pardalos, M. Pelillo,. Vol. 11179. Berlin : Springer, 2018. doi P. 331-342. doi
20172
- Chapter Rodriges Zalipynis R. A. Array DBMS in Environmental Science: Sea Surface Height Data in the Cloud, in: Proceedings of the 2017 IEEE 9th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). IEEE, 2017. P. 1062-1065. doi
- Chapter Rodriges Zalipynis R. A., Bryukhov A., Pozdeev E. Retrospective Satellite Data in the Cloud: An Array DBMS Approach, in: Supercomputing. RuSCDays 2017. Communications in Computer and Information Science. Revised Selected Papers. Vol. 793. Springer, 2017. doi P. 351-362. doi
20163
- Article Newberry R., Lupo A., Jensen A., Rodriges Zalipynis R. A. An Analysis of the Spring-to-Summer Transition in the West Central Plains for Application to Long Range Forecasting // Atmospheric and Climate Science. 2016. No. 6. P. 375-393. doi
- Chapter Rodriges Zalipynis R. A. ChronosServer: Fast In Situ Processing of Large Multidimensional Arrays with Command Line Tools, in: Supercomputing. RuSCDays 2016. Communications in Computer and Information Science. Revised Selected Papers. Vol. 687. Springer, 2016. P. 27-40. doi
- Chapter Rodriges Zalipynis R. A. In-situ processing of big raster data with command line tools, in: Proceedings of the international Conference "Russian Supercomputing Days 2016". M. : Moscow Lomonosov University, 2016. P. 20-25.
20151
20141
20131
20121
20111
Conferences
- 2023The 49th International Conference on Very Large Data Bases (Vancouver). Presentation: FastMosaic in Action: A New Mosaic Operator for Array DBMSs
- 2022The 48th International Conference on Very Large Data Bases (Sydney). Presentation: WebArrayDB: A Geospatial Array DBMS in Your Web Browser
- The 48th International Conference on Very Large Data Bases (Sydney). Presentation: SimDB in Action: Road Traffic Simulations Completely Inside Array DBMS
- 2021ACM SIGMOD/PODS International Conference on Management of Data (Xi'an, Shaanxi). Presentation: Convergence of Array DBMS and Cellular Automata: A Road Traffic Simulation Case
- Russian Supercomputing Days (Moscow). Presentation: First Results of Performance Evaluation of Geospatial Raster Data Processing Systems
- The 47th International Conference on Very Large Data Bases (Copenhagen). Presentation: Array DBMS: Past, Present, and (Near) Future
- 2020The 46th International Conference on Very Large Data Bases (Tokyo). Presentation: BitFun: Fast Answers to Queries with Tunable Functions in Geospatial Array DBMS
- 3rd International Conference on Machine Learning for Networking (MLN'2020) (Paris). Presentation: Towards Machine Learning in Distributed Array DBMS: Networking Considerations
- 2019ACM SIGMOD/PODS International Conference on Management of Data (Amsterdam). Presentation: ChronosDB in Action: Manage, Process, and Visualize Big Geospatial Arrays in the Cloud
- 2019 IEEE 10th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS) (Metz). Presentation: Evaluating Array DBMS Compression Techniques for Big Environmental Datasets
- 2018The 44th International Conference on Very Large Data Bases (Рио-де-Жанейро). Presentation: ChronosDB: Distributed, File Based, Geospatial Array DBMS
- The 7th International Conference on Analysis of Images, Social Networks, and Texts (AIST'2018) (Москва). Presentation: Generic Distributed In Situ Aggregation for Earth Remote Sensing Imagery
- 2017Perspectives of System Informatics - 11th International Andrei Ershov Informatics Conference, PSI 2017 (Moscow). Presentation: Distributed In Situ Processing of Big Raster Data in the Cloud
Russian Supercomputing Days (Moscow). Presentation: Retrospective Satellite Data in the Cloud: An Array DBMS Approach
- 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS’2017) (Bucharest). Presentation: Array DBMS in Environmental Science: Sea Surface Height Data in the Cloud
Analysis of Images, Social Networks and Texts. 6th International Conference, AIST 2017 (Moscow). Presentation: Satellite Imagery and Array DBMS: Towards Big Raster Data in the Cloud
- 2016
Russian Supercomputing Days (Москва). Presentation: In-situ processing of big raster data with command line tools
Четырнадцатая Всероссийская открытая конференция "Современные проблемы дистанционного зондирования Земли из космоса" (Москва). Presentation: Передача, 3D визуализация и анализ данных дистанционного зондирования Земли и реанализа климата на регулярных широтно-долготных сетках
Четырнадцатая Всероссийская открытая конференция "Современные проблемы дистанционного зондирования Земли из космоса" (Москва). Presentation: WRRS (Web Raw Raster Service): прототип нового сетевого протокола для передачи сырых растровых данных в Интернет браузеры
- 2015
Intelligent Data Acquisition and Advanced Computing Systems (IDAACS) (Варшава). Presentation: Modern Information Technologies in Environmental Sciences: Climate Wikience
- 2013
IV All-Ukrainian Congress of Ecologists with International Participation (Винница). Presentation: The place of Ukraine in Europe according to the level of air pollution using Earth remote sensing data
- 2011
VII международная науч.-техн. конф. «Информатика и компьютерные технологии» (Донецк). Presentation: The Wikience: Community Data Science. Concept and Implementation
Climate Wikience
Climate Wikience — free software for fast 3D visualization and analysis of climate reanalysis and gridded Earth remote sensing data.
Web site: http://www.wikience.org
ChronosServer
ChronosServer is the backend of Climate Wikience. It runs on the high performance computer cluster and manages large volumes of climate data. ChronosServer delivers data over Internet in near realtime to your PC for 3D visualization in Climate Wikience and analysis in R.
Web page: http://www.wikience.org/chronosserver/
How the Faculty of Computer Science Switched Online
From March 17, HSE University has made all classes online. Here’s how the Faculty was able to do that, as well as celebrate Faculty’s birthday, talk to prospective students, and develop a new YouTube channel.