Tutors

Tutors

Samuel Ambroj Perez

Samuel Ambroj (KIT)

Samuel Ambroj studied Physics at the University of Zaragoza, where he subsequently obtained his PhD in Computational Fluid Mechanics in 2013. From September 2013 moved to Karlsruhe to work at KIT with special involvement in the Storage Management System called dCache. This involves the management of several PB of data on disk and tape for three of the four main experiments in the LHC particle accelerator at CERN (ATLAS, CMS and LHCb). He is also interested in monitoring and analyzing the information present in logs from many different services using tools like the ELK stack.


Michael Bredel (FH Kufstein)

Michael Bredel is a professor for Web Business & Technology as well as Web Communication & Information Systems at the university of applied sciences Kufstein Tirol in Austria. He is teaching and doing research in the broad field of computer networks, IT security, and software development. His special interest is on software defined networking, cloud computing, and big data.
Prior to joining FH Kufstein Tirol, he was a network research engineer at the California Institute of Technology in the US and at CERN in Geneva. Working in the USLHCNet group that operated a network between CERN and US research labs, his research and development focused on optimizing high speed wide area networks and big data transfers, in particular for the Large Hadron Collider, using Software Defined Networking.
Prior that, he was a research assistant at the Institute of Communications Technology at Leibniz Universität Hannover, Germany. He had been dealing with performance analysis of communication networks using the mathematical framework of the stochastic network calculus, for instance to determine router buffer sizes, delay bounds, and fairness among multiple data flows.

Michael Bredel

Manuel Giffels

Manuel Giffels (KIT)

Manuel studied Physics at the RWTH Aachen University and received his diploma working on simulation and software development in context of a tracking detector at a future linear collider in 2005. He obtained his PhD at the RWTH Aachen University in 2009 working on a physics analysis of lepton flavour violation in τ decays at the CMS experiment at CERN. At the same time he became a co-administrator of the RWTH Aachen Grid Computing Center. He then continued his work on Grid Computing and joined the CMS Computing Project as a software developer in the Data Management & Workload Management group. In 2011 he got an applied physics fellowship at CERN. Since 2014 he is working at KIT being Computing & Development Team Leader of the CMS group.


Diana Gudu (KIT)

Diana Gudu is a doctoral researcher in the Human Brain Project since July 2013. Diana received her BSc in Computer Science from the Polytechnic University of Bucharest in 2010 and went on to earn an MSc with Honours degree from the Technical University of Munich in 2012, majoring in high performance computing. Her research interests include distributed systems, HPC and highly scalable data storage. Her PhD work is focused on a distributed multi-agent framework for trading and allocation of cloud resources. In HBP she contributes to the cloud storage infrastructure, where she gained experience with the Ceph distributed storage system.

Diana Gudu

  Benedikt Hegner (CERN)

Ben Jones (CERN)  

Mirko Kämpf Mirko Kämpf (Cloudera)

Eileen Kühn (KIT)  

  Mario Lassnig (CERN)

Felice Pantaleo (CERN)  

Hendrik Leddin (IBM) Hendrik Leddin

Ameri Parinaz

Ameri Parinaz (KIT)

Parinaz Ameri is currently a PhD researcher at LSDMA project. Her work is related to improvement of data life cycle for Scientific Big Data, corresponding to community specific and generic patterns. As a part of her work, she is researching on all different types of databases from relational to NoSQL ones and working with MongoDB in particular. She likes to share her experiences with you in the MongoDB workshop.


Kajorn Pathomkeerati (KIT)

Kajorn Pathomkeerati is working on his diploma thesis at KIT. His main focus is on visualisation bringing meaning into tons of data and making them intelligible for users. Additionally, he has been working for several years with various web technologies like cloud-based web application, web platform, etc.

Kajorn Pathomkeerati

Will  Breaden Madden (CERN)

Will Breaden Madden is a Ph.D. student at CERN working on Higgs searches at ATLAS with the University of Glasgow. He is very handsome, highly intelligent and a champion of the proletariat.

Will Breaden Madden

Matthias Reuter and Tim Roes

Matthias Reuter and Tim Roes (Inovex)

Matthias Reuter and Tim Roes are developers at inovex in Karlsruhe. Matthias is a web developer, mastering JavaScript for over 10 years now. Tim is a Android and web developer, who likes the challenge of everything new. Both have been working with AngularJS for several years and like to share their knowledge in their workshop.


Johannes Scheuermann (Inovex, KIT)

Johannes received his bachelors degree at the Baden-Wuerttemberg Cooperative State University (DHBW) in Mosbach and worked at MPDV Mikrolab. He is doing now his master studies at the KIT and is a working student at Inovex in Karlsruhe. Johannes is an official contributor to Foreman working on the CoreOS integration with his colleagues at Inovex.

Johannes Scheuermann

Elvin Sindrilaru

Elvin Sindrilaru (CERN)

Elvin is a software engineer in the Data and Storage Services Group at CERN which is responsible for the management and long-term preservation of all data produced by the CERN physics experiments. He received a MSc. degree in Computer Science from Imperial College London in the field of High-Performance Computing. Elvin joined CERN as a research fellow in 2010 working on the ROOT Framework to improve wide-area network I/O performance. He is also involved in developments concerning error-correction codes and providing fault-tolerance to the main CERN disk-based storage system EOS. Another important area of interest for Elvin is providing the required scalability for multi-petabyte systems storing physics data while at the same time streamlining the development process by using container technologies.


Sven Sternberger (DESY)  

Graeme Stewart

Graeme Stewart (CERN)

Graeme obtained his PhD in plasma physics from the University of Glasgow in 1993. He then worked for four years in Mexico, modeling the Sun's magnetic field. On his return to the UK he worked for the UK Starlink project, providing astronomical computing and software services. In 2005 he joined GridPP, to work on grid computing for particle physics. Joining the ATLAS experiment in 2007, he worked in the the central computing group until 2010. From 2011 he moved to work in the ATLAS software project and is currently the ATLAS Software Co-coordinator.


 

Uros Stevanovic (KIT)


Marek Szuba (KIT) Marek studied physics at the Warsaw University of Technology, where he got his M.Sc. and Ph.D. working for the ALICE, NA49 and NA61/SHINE experiments at CERN as well as the STAR experiment at the BNL RHIC. He has worked as a software developer, HPC cluster administrator and software project manager. Currently he is a researcher at the Steinbuch Centre for Computing of KIT, concentrating on development of data-management Web applications based on the MEAN stack.

Massimo  Torquati

Massimo Torquati (Universita di Pisa)

Massimo Torquati is currently an assistant professor at the Dept. of Computer Science of the University of Pisa. He received a M.S. in Computer Science from the University of Pisa in 96 (summa cum laude). His main research activity focuses on parallel and distributed computing and multi/many-core programming models. He is co-author of about 50 papers appearing in international refereed conference proceedings and journals with more than 40 different co-authors. He was founder, CTO and CIO in two small companies operating in cluster-computing and small-medium enterprise services where he led the design and development of several high technology solutions. He has contributed to the design and the development of a number of tools for parallel processing, including the FastFlow framework (for which he is the maintainer and the main developer), a structured and highly efficient, parallel programming framework targeting heterogeneous multi/many-core architectures. He was organizer of the HLPP 2015 international symposium on high-level parallel programming, track chair of Euro-Par 2015 and IEEE ScalCom 2015 international conferences. He has served in PC of several related international conferences and also served as reviewer for important international parallel computing journals (TPDS, CCPE, IJPP). In 2013 he was co-editor of the book “Smart Multicore Embedded Systems”. He has participated in several national and international research projects concerning parallel and grid computing.


Jose Luis Vazquez-Poletti
(Complutense University of Madrid)

Dr. Jose Luis Vazquez-Poletti is Assistant Professor (Tenure Track) in Computer Architecture at Complutense University of Madrid (Spain), and a Cloud Computing Researcher at the Distributed Systems Architecture Research Group. He has been directly involved in EU funded projects, such as EGEE (Grid Computing) and 4CaaSt (PaaS Cloud), as well as many Spanish national initiatives. From 2005 to 2009 his research focused in application porting onto Grid Computing infrastructures, activity that let him be "where the real action was". These applications pertained to a wide range of areas, from Fusion Physics to Bioinformatics. During this period he achieved the abilities needed for profiling applications and making them benefit of distributed computing infrastructures. Additionally, he shared these abilities in many training events organized within the EGEE Project and similar initiatives. Since 2010 his research interests lie in different aspects of Cloud Computing, but always having real life applications in mind, specially those pertaining to the High Performance Computing domain. This allowed him to be involved with applications pertaining to an even wider range of areas, from Agricultural Monitoring to Mars Missions.

Jose Luis Vazquez-Poletti
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