Skip to main content

Outer links

Show — Outer links Hide — Outer links
  • University of Tartu
  • Faculty of Science and Technology
  • Institute of Computer Science
Home

Main Navigration

Show — Main Navigration Hide — Main Navigration
  • Home
  • People
  • Alumni
  • Books
  • Projects
  • Thesis Topics
  • Jobs
  • Contact

2024

NPG

New Paper at Scientific Reports

2024.07.24

Exciting news! We would like to congratulate to Radwa El Shawi and Sherif Sakr for publishing a paper FIT calculator: a multi-risk prediction framework for medical outcomes using cardiorespiratory fitness data in the Scientific Reports (part of the Nature Publishing Group UK), together with Mouaz H. Al-Mallah from DeBakey Heart & Vascular Center and Steven J. Keteyian, Clinton A. Brawner & Jonathan K. Ehrman from Henry Ford Hospital.

IEEE TAI

Accepted paper at IEEE TAI

2024.07.24

We are happy to announce that Hassan Eldeeb and Radwa El Shawi's paper, 'Empowering Machine Learning with Scalable Feature Engineering and Interpretable AutoML' has been accepted for publication in IEEE Transactions on Artificial Intelligence (IEEE TAI). 

Congratulations!

DOLAP

Best Paper Award at DOLAP 2024!

2024.03.27

 

Our paper "Adaptive Handling of Out-of-order Streams in Conformance Checking" won the best paper award at DOLAP 2024: 26th International Workshop on Design, Optimization, Languages, and Analytical Processing of Big Data, co-located with EDBT/ICDT 2024, March 25, 2024, Paestum, Italy.

 

Congratulations to Kristo Raun, Riccardo Tommasini and Ahmed Awad!

Link: https://ceur-ws.org/Vol-3653/paper1.pdf

EDBT

A New Demo Paper at EDBT/ICDT 2024 Joint Conference, Italy

2024.03.27

 

Mohamed Maher, Esraa Sayed, Omar Sedeek, Ahmed Eldamaty, Amr Kamel and Radwa El Shawi published and presented paper "GizaML: A Collaborative Meta-learning Based Framework Using LLM For Automated Time-Series Forecasting" as part of "The 27th International Conference on Extending Database Technology (EDBT). 2024"

Full authors list: 

Link: https://openproceedings.org/2024/conf/edbt/paper-249.pdf

 

2023

Expert

A New Paper at Expert Systems with Application

2023.11.28

Our paper, titled "AutoMLBench: A Comprehensive Experimental Evaluation of  Automated Machine Learning Frameworks" has been accepted by Expert Systems with Applications. 

Hiring

We are hiring

2023.09.27

We are currently looking for motivated PostDoc, PhD students, and master students to work with us on wide range of topics in data-centric computing. If you are interested to join our group, send us your application including a detailed CV, and publications to radwa [dot] elshawi [at] ut [dot] ee. Please use the title "Joining Data Systems Groups as "your target" @ UT" for your email message.

Plos one

A New Paper at PLOS ONE

2023.08.17

Our paper, titled "Patient-Level Explainable Machine Learning for Predicting Major Adverse Cardiovascular Events from SPECT MPI and CCTA Imaging," has been accepted by PLOS ONE.

CKIM

A New Paper at CKIM

2023.08.01

Our paper titled "OnlineAutoClust: A Framework for Online Automated Clustering" has been accepted for presentation at the Thirty-Second Conference on Information and Knowledge Management, CIKM 2023.

IJCAI

A New Paper at IJCAI

2023.07.01

Our paper titled "Interpretable Local Concept-based Explanation with Human Feedback to Predict All-cause Mortality (Extended Abstract)," has been accepted for presentation at the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023

DEBs

DEBS'23 Best Paper Award

2023.06.15

Kristo Raun, Riccardo Tommasini, and Ahmed Awad earned the Best Paper in the research track for their work I Will Survive: An Event-driven Conformance Checking Approach Over Process Streams at the 17TH ACM International Conference on Distributed and Event-based Systems (DEBS'23). Congratulations Team!

2019

EDBT'20

A Tutorial and Short Paper Accepted at EDBT'20

2019.12.29

Our Tutorial “Declarative Languages for Big Streaming Data: A database Perspective” and short paper “DISGD: A Distributed Shared-nothing Matrix Factorization for Large Scale Online Recommender Systems” have been accepted in The 23nd International Conference on Extending Database Technology (EDBT'20).

Dagstuhl

Dagstuhl Seminar of Big Graph Processing Systems

2019.12.10

Prof. Sherif Sakr (together with Prof. Angela Bonifati, Prof.  Alexandru Iosup and Dr. Hannes Voigt) have successfully organized the Dagstuhl Seminar on Big Graph Processing Systems. The group members Dr. Riccardo Tomassini and Mohamed Ragab have actively attended and participated in the seminar.   

Shoman

Prof. Sherif Sakr has been awarded Shoman Foundation 2019 Award for Best Arab Scholars

2019.09.08

Prof. Sherif Sakr has been awarded the 2019 Best Arab Scholars Award from Abdul Hammed Shoman Foundation. 

ICDM

A New Paper Accepted at ICDM 2019 AutoML Workshop

2019.09.03

Our paper "A Decision Support Framework for AutoML Systems: A Meta-Learning Approach" has been accepted in the 1st IEEE ICDM Workshop on Autonomous Machine Learning (AML 2019)

BMC

A New Paper at BMC Medical Informatics and Decision Making

2019.07.22

Our paper "On the Interpretability of Machine Learning-Based Model for Predicting Hypertension" has been accepted in the BMC Medical Informatics and Decision Making Journal

CaiseAwared

CAiSE'19 Best Paper Award

2019.06.06

Our paper "D2IA: Stream Analytics on User-Defined Event Intervals" authored by Ahmed Awad, Riccardo Tommasini, Mahmoud Kamel, Emanuele Della Valle, Sherif Sakr has been awarded CAiSE'19 best paper award. Congratulations Team!

Big Data

A New Paper Accepted at IEEE Big Data 2019

2019.04.18

Our Paper “DLBench: An Experimental Evaluation of Deep Learning Frameworks” has been accepted in IEEE International Congress on Big Data, Milan, Italy. The project code is available here.

DEBS

Tutorial on “An Outlook to Declarative Languages for Big Steaming Data” at DEBS 2019

2019.04.13

Our Tutorial Proposal “An Outlook to Declarative Languages for Big Steaming Data” has been accepted in the 13th ACM International Conference on Distributed and Event‐based Systems (DEBS), Darmstadt, Germany. 

CBMS

Two Papers Accepted at IEEE CBMS'19

2019.03.27

Two papers for our group have been accepted in The 32th IEEE CBMS International Symposium on Computer-Based Medical Systems, Córdoba, Spain.

  • Interpretability in HealthCare: A Comparative Study of Local Machine Learning Interpretability Techniques
  • LDLCT: An Instance-based Framework for Lesion Detection on Lung CT Scans
     
DSS

Data Science Seminar

2019.03.20

The Data Systems Group has organized a UT Data Science Seminar on the topic of "The emerging requirements of new application generation for Big Data Analytics". The seminar program and recording are available online.

BDVA

Prof. Sakr has been appointed as a Co-Chair for BDVA TF6-Data Technology Architectures Group

2019.03.01
Prof. Sherif Sakr has been appointed as a Co-Chair for European Big Data Value Association (BDVA) TF6-Data Technology Architectures Group
CAiSE

New Paper at CAiSE'19

2019.02.22

Our paper “D2IA: Stream Analytics on User-Defined Event Intervals” has been accepted in The 31st International Conference on Advanced Information Systems Engineering (CAiSE 2019), Rome, Italy.

ISWC 2019

Tutorial on “Linked Data: Querying, Reasoning, and Benchmarking” at ISWC 2019

2019.02.14

Our Tutorial Proposal “Linked Data: Querying, Reasoning, and Benchmarking” has been accepted in the 18th International Conference on Semantic Web (ISWC 2019), Auckland, NewZealand 

ICDE'19 Workshop

New Paper at ICDE'19 Workshop

2019.02.09
Our paper “Big Streaming Systems: An Experimental Evaluation” has been accepted in The DASC 2019 workshop, held on April 8th within the 35th IEEE International Conference on Data Engineering (ICDE 2019).
FGCS

FGCS Special Issue on "Benchmarking Big Data Systems"

2019.02.05
Our Future Generation Computer Systems on “Benchmarking Big Data Systems” is now available online.
cluster computing

New Paper at Cluster Computing Journal

2019.01.30
Test
agreement

Collaboration Agreement with The Center for Informatics Science at Nile University

2019.01.02

The Data Systems Group has signed a collaboration agreement with The Center for Informatics Science at Nile University, Egypt. Details of the agreement are available here.

2018

EDBT'19

Two Demo Papers and One Short Paper at EDBT'19 Conference

2018.12.28

Our group has got 2 Demo Papers

- “SmartML: A Meta Learning-Based Framework for Automated Selection and Hyperparameter Tuning for Machine Learning Algorithms ”

- “MINARET: A Recommendation Framework for Scientific Reviewers ”

and one short paper

- “A Concept Drift-based Approach for Predicting Event-Time Progress in Data Streams ”

accepted in The 22nd International Conference on Extending Database Technology (EDBT'19).

BigComp

New Paper at BigComp'19 Conference

2018.12.03

Our paper “Calculation of Average Road Speed Based on Car-to-Car Messaging” has been accepted in The 6th IEEE International Conference on Big Data and Smart Computing (BigComp'19).

Group

University news about Data Systems Research Group and The potential of Big Data

2018.11.12

University of Tartu has released the news about our research group and the potential of big data. Please check here.

IEEE Access

New Paper at IEEE Access

2018.11.07

Our paper “Business Process Analytics and Big Data Systems: A Roadmap to Bridge the Gap” has been accepted in IEEE Access Journal.

Grant

Dr. Radwa Elshawi Received Mobilitas Pluss Postdoctoral Researcher Grant from the Estonian Research Council (ETAg)

2018.08.01

Our Senior Research Fellow, Dr. Radwa Elshawi, received funding for 2 years on the Mobilitas Pluss postdoctoral researcher grant from the Estonian Research Council (ETAg) . For more information about the project of Dr. Elshawi, please visit the announcment news 

Sigmod Record

New Papers at Sigmod Record

2018.07.05

Our paper “Stream Processing Languages in the Big Data Era” and our report for the "Dagstuhl Seminar on Big Stream Processing" have been accepted in SIGMOD Record.

Publication

New Paper at ICHI'18 Conference

2018.05.21

Our paper “Predictive Model for the Incidence of Hyperkalemia for Congestive Heart Failure Patients on Spironolactone” has been accepted in The 6th IEEE International Conference on Healthcare Informatics (ICHI 2018), NY, USA

IEEE

IEEE Distinguished Speaker Talks on the IEEE Tunisia Sections

2018.04.28

Prof. Sakr has delivered IEEE Distinguished Speaker Talks on the IEEE Tunisia Sections (IEEE IoT Tunisia Forum, The Second BioDialog Summer School on Biodiversity Informatics)

Publication

New Paper at Journal of Big Data Research

2018.04.15

Our paper “Big Data Systems Meet Machine Learning Challenges: Towards Big Data Science as a Service” has been accepted in The Journal of Big Data Research, Elsevier.

Publication

New Paper at ICDCS'18 Conference

2018.04.15

Our demo “HDM-MC in-Action: A Framework for Big Data Analytics across Multiple Clusters” has been accepted in the 38th IEEE International Conference on Distributed Computing Systems (ICDCS'18).

Dagstuhl

Dagstuhl Seminar Report on Big Stream Processing

2018.03.31

Our Dagstuhl Seminar Report on Big Stream Processing (17441) has been published. [PDF]

Plosone

New Paper at PLOS ONE journal

2018.03.10

Our Paper “Using Machine Learning on Cardiorespiratory Fitness Data for Predicting Hypertension: The Henry Ford ExercIse Testing (FIT) Project” has been accepted in the PLOS ONE journal

Encyclopedia

Live Version of Encyclopedia of Big Data Technologies

2018.02.20

The live version of our Encyclopedia of Big Data Technologies is out. 

New Paper at the Clinical Cardiology Journal.

2018.02.10

Our Paper “Prognostic Value of Exercise Capacity among Patients with Treated Depression: The Henry Ford ExercIse Testing (FIT) Project” has been accepted in the Clinical Cardiology Journal.

Special Issue of Journal on Big Data Research on Geo-Distributed Big Data Processing

2018.01.15

We are editing a special issue of Journal of Big Data Research, Elsevier on "Geo-distributed Big Data Processing and Management"<

User account menu

Show — User account menu Hide — User account menu
  • Log in