Scientific Calendar Event
GO TO SCIENTIFIC CALENDAR



  • Europe/Rome
  • English
  • Administration

Search

Search in Conferences:
Home > Speaker Index

Speaker List

Displaying 16 speakers out of 16
AYUB, Omer Muhammad (King Abdul Aziz University)
Cloud based Data integration and Visualization without programming
Cloud Based Data integration and Visualization without programming
BALAJI, Venkatramani (Princeton University)
Trends in data technology: opportunities and challenges for Earth system simulation and analysis
EKPE, Okorafor (Big Data Academy)
Lab – Install & Verify Docker Environment for Kafka
GHOUILA, Amel (Institut Pasteur de Tunis / H3Bionet)
Introduction to DM and ML, Machine Learning basic concepts
Taxonomy of ML and examples of algorithms
Applications of ML in Bioinformatics
P racticing usin g the built - in R data set iris
RNASeq analysis using clustering in R
RNASeq analysis in R to be continued
Introduction to Regression
Hands - on application: regression algorithms - pros and cons
GIROTTO, Ivan (ICTP)
High-Performance Computing
GIULIANI, Graziano (ICTP)
Climate Data Science outlook and trends
Hands-on Lab
Hands-on-Lab
HELEKAL, David (University of Dundee)
Introduction to ChIP - Seq, ATAC - Seq, BS - Seq
Retrieving and Preprocessing ChIP - Seq Data
Defining Regions of Interests (part 1)
Defining Regions of Interests (part 2 )
Differential Shape Analysis (MMDiff2) (part 1)
Differential Shape Analysis (MMDiff2) (part 2 )
OKORAFOR, Ekpe (Big Data Academy)
Introduction to Big Data & IoT Analytics Problem Scope. Analysis of Large Scale Real-Time and Streaming Data/Introduction to Kafka
Lab – Creating Topics & Passing Messages. Group Discussion on Problem
Design of Kafka topics and partitions
Lab - Designing topics and partitions
Evaluation of the designs and suggested solutions
Lab - Implement Topics and Partitions for case study
Kafka: Scaling, APIs, Administration & Integration
Lab - Streaming and IoT Case Study
Introduction to Spark / Spark Streaming
Real-time Data Processing Using Kafka and Spark Streaming
Lab – Setting up Spark & Integrating with Kafka
Lab - Real-time Data Processing Using Kafka and Spark Streaming
Lab - Real-time Data Processing Using Kafka and Spark Streaming
Introduction to NoSQL
Real-time Data Pipeline (Kafka -> Spark Streaming -> Cassandra)
Lab – Setting up Kafka - Spark streaming - Cassandra
Lab – Real-time Data Pipeline – writing to Cassandra
Lab – Real-time Data Pipeline – writing to Cassandra
Real-time Sentiment Analysis
Lab – Setting up Real-time Query Stack
Lab - Twitter Stream Sentiment Analysis
PSOMOPOULOS, Fotis (INAB/CERTH)
Components of an Experiment. Wh at is a good experiment design?
Experiments: Design and Analysis
Data Distributions and Multipl e Hypotheses Adjustment Methods
Introduction to basic NGS pipelines
Introduction to basic NGS pipelines
Short read quality and trimming (part 1)
Short read quality and trimming (part 2)
Mapping
Variant calling (part 1)
Variant calling (part 2 )
Introduction to DM and ML, Machine Learning basic concepts
Taxonomy of ML and examples of algorithms
Applications of ML in Bioinformatics
P racticing usin g the built - in R data set iris
RNASeq analysis using clustering in R
RNASeq analysis in R to be continued
Introduction to Regression
Hands - on application: regression algorithms - pros and cons
SAINT, Martin (Carnegie Mellon University)
Introduction to Blockchain technology and applications
Introduction to Blockchain technology and applications II
SANCHEZ, Arturo (CERN)
Using Jupyter Notebooks to visualize different datasets (with and without ROOT)
The European Organization for Nuclear Research (CERN): a bit of physics and methods
The European Organization for Nuclear Research (CERN): a bit of physics and methods
SCHWEIKERT, Gabriele (University of Tuebingen)
Introduction to ChIP - Seq, ATAC - Seq, BS - Seq
Retrieving and Preprocessing ChIP - Seq Data
Defining Regions of Interests (part 1)
Defining Regions of Interests (part 2 )
Differential Shape Analysis (MMDiff2) (part 1)
Differential Shape Analysis (MMDiff2) (part 2 )
SERKIN, Leonid (CERN)
The European Organization for Nuclear Research (CERN): a bit of physics and methods
The European Organization for Nuclear Research (CERN): a bit of physics and methods
SULE, Mary-Jane (University of Jos)
PKI based Data Colouring for securing and sharing open-data in Cloud Environments
LAB Data colouring of images
TOMPKINS, Adrian (ICTP)
An overview of big data issues in the climate sciences
Analysis, observational systems and forecasts: data sources and approaches
Lab - Python APIs for remote data access, and the Copernicus Toolbox
TSAGIOPOULOU, Maria (CERTH)
Experiments: Design and Analysis
Components of an Experiment. Wh at is a good experiment design?
Data Distributions and Multipl e Hypotheses Adjustment Methods
Introduction to basic NGS pipelines

Organizers

Andrew Harrison (Department of Mathematical Sciences, University of Essex), Simon Hodson (CODATA), Hugh Shanahan (Department of Computer Science, Royal Holloway University of London, UK), Celia van Gelder (Dutch Techcentre for Life Sciences (DTL), Netherlands), M. Hassan (TWAS), Teresa. K. Attwood (University of Manchester, UK), Rob Quick (Indiana University, U.S.A), Sarah Jones (University of Glasgow, UK), Nicola Mulder (University of Cape Town, South Africa), U. Singe (ICTP), M. Zennaro (ICTP), A. Tompkins (ICTP), Local Organiser: C. Onime

Co-sponsors