Soon-gyo Jung is an accomplished software engineer currently working at Qatar Computing Research Institute (QCRI) at Hamad Bin Khalifa University. With a solid background in computer science, data science, and analytics, he specializes in developing data-driven and data-intensive systems using research-oriented software engineering techniques.

In addition to software engineering, Soon-gyo Jung also possesses expertise in a range of roles including software architecture, full-stack web development, data architecture, data engineering, AI engineering, prompt engineering, and prototyping. This diverse skill set allows him to deliver holistic solutions that effectively address complex problems.

Soon-gyo Jung holds an MS. degree from Sungkyunkwan University, Korea, where he conducted research on IoT and WSN, with a particular focus on routing and clustering using swarm intelligence techniques such as ant/bee behavior and bird-flocking.

Christos Fountoukis received his PhD from the School of Chemical & Biomolecular Engineering of the Georgia Institute of Technology, in Atlanta, U.S. in 2007. He has been a Marie Curie Postdoctoral Fellow from 2008-2012 and a Project Scientist from 2012-2015 with the University of Patras and the FORTH research institute in Greece. Over the last 20 years he has participated in 15 large-scale integrated projects of the EU and the USA. He has more than 50 journal publications, h-index=30 and 4,304 citations (as of August 2022).

At QEERI, Christos is a Technical Team Leader for the atmospheric research modeling team within the Air Quality & Climate Change research program under the Environment and Sustainability Center. His research focuses on the application of air quality and climate models in the greater region of the Middle East with a special focus on the State of Qatar. He is also interested in atmospheric dust and solar energy forecasting and their effects on PV systems and solar power generation potential. Working closely with the measurement groups, the goal is to better understand the local and regional atmospheric conditions in order to identify efficient mitigation strategies toward a sustainable environment.

Before joining QEERI, Dr. Ramasomanana worked as a Postdoc at the Laboratory of Hydrogeology and Geochemistry of Strasbourg (LHyGeS) from July 2012 till December 2015 where he worked on the development of a numerical tool for modeling multiphase flow and multicomponent transport with the Method Of Lines (MOL). Previously he worked from October 2008 till May 2012 as a Research Assistant at the University of Strasbourg – France. His research subject was the modeling of water flow with the Mixed Hybrid Finite Element Method and the resolution of mass transfer with the Eulerian-Lagrangian Localized Adjoint Method.

Dr. Ramasomanana has also taught at the University of Strasbourg – Department of Physics & Engineering, and at University Institute of Technology Louis Pasteur (IUT) where he was responsible of Mechanics, Informatics Projects & Engineering Sciences.

Fahhad obtained my PhD degree with distinction from the University of Colorado at Boulder (2004), and the MS. (2001) and BS. (1997) degrees from King Fahd University for Petroleum and Minerals (KFUPM) with high honors. In addition, while working for Hamad Bin Khalifa University and its Qatar Environment & Energy Research Institute, IBM Inc., King Abdulaziz City for Science and Technology (KACST), and Saudi Aramco, he has an abundance of professional and academic experiences. His research is more toward theory and computation with emphasis on device physics and computational methods development where his current research focus is on solar energy harvesting and applications and large scale atomistic calculations.

Dr. Euijin Alley Choo is a Postdoctoral Researcher at QCRI (Qatar Computing Research Institute). Before she joined QCRI, she was a Visiting Assistant Professor at Missouri University of Science and Technology. She received her Ph.D from North Carolina State University in 2015. She earned dual B.S. from Dept. of Computer Science & Engineering and Dept. of Mathematics in Korea University. She also earned M.S. from Dept. of Computer Science & Engineering in Korea University. Since 2006, she has conducted several research in the field of computer and network security including encryption, key management, mitigation of DDoS attacks, malware detection, resilience evaluation of reputation systems, and spam detection in public forums. Her current research interest includes malicious traffic analysis, spam detection in public forums, and security and information assurance in e-commerce market and industrial control system. She earned Provost Fellowship from NCSU during her first year of Ph.D studies. She also received the Best Paper Award at 29th Annual IFIP Working Conference on Data and Applications Security and Privacy in 2015.

Since August 2015, I have been working as Systems Engineer under the division of Research Computing IT Infrastructure team mainly working on supporting, configuring and administering QCRI’s Private Cloud and Azure Public Cloud, back-end IT infrastructure systems, while coping with researchers’ requirements for IT infrastructure provisioning and services design and deployment.

QCRI has made great strides in the utilization of Private & Public Clouds, allowing researchers to self-provision IaaS, PaaS and other IT services, and I have been a part of this success. I am working extensively in the area of performance optimization of QCRI’s back-end systems, in the building of monitoring tools for the core systems of QCRI’s Private Cloud, and in helping researchers utilize efficiently resources and build services and applications, on top of our virtualized environment, which have greatly extended the profile of the IT team into the company.

Focal point for, designing, architecting, and deploying services and applications, provisioning of Linux-based servers (as virtual machines) to Researchers, on top of our virtualized private cloud.

Acting as liason between QCRI and vendors (VMware, EMC, DC services provider), for any support cases and escalation.

Document architectural and functional specifications of the core internal systems, applications and infrastructure.

Dr. Bouhali received his PhD in Science from the Universite Libre de Bruxelles in 1999. Since 1994, he has participated to the Compact Muon Solenoid (CMS) experiment program at the Large Hadron Collider Project (LHC) at the European Organization for Nuclear and Particle Physics (CERN). He was also a member of the fixed target experiment HERMES at the Deutsches Electronen Synchrotron (DESY) and a member of the AMANDA/ICECUBE neutrino telescopes at the South Pole. His field of expertise includes: charged particle detectors, high energy and medical physics and high performance computing. He is Director of Research Computing and Research Associate Professor at Texas A&M University at Qatar.

He is the founder of the TAMU-Q Advanced Scientific Computing (TASC) Center. He is affiliated with the Qatar Computing Research Institute (QCRI) in the computational Science and Engineering group. He is also chairing the HPC committee at Education City. He has served on many national and international committees, chaired conferences and workshops. In 2015 he received the Faculty Dean’s Distinguished Achievement Award.

Dr. Irina Temnikova has received her B.A. in Italian Translation&Linguistics, her M.A. in Computational Linguistics from Sofia University, Bulgaria, and her Ph.D. in Computational Linguistics from the University of Wolverhampton, UK.

She has worked as a translator from English, French, and Italian into Bulgarian and Russian for the European Parliament, a translator&interpreter in translation agencies for 10 years, and a language teacher. 

She was also a researcher in Computational Linguistics at the Bulgarian Academy of Sciences and at the Language Technology Group, European Commission in Ispra, Italy. 

Due to her interdisciplinary expertise, her research interests focus on

the methods of collaborations between linguistics, human translation and natural language processing and machine translation.

Currently she is working on two projects: 

1. Using human interpreting strategies to improve automatic translation (in collaboration with HBKU TII).
2. Developing medical translation software for medical staff and patients in Qatar.

Irina is also actively involved in teaching and organising QCRI and ALT summer internships, as well as in organising international conferences&workshops abroad.

She has also completed a post-doc at the QCRI’s Social Computing group on crisis terminology and readability in Twitter. Other expertises are: eye-tracking, autistic readers, text simplification, specialized languages, translation technologies, corpus linguistics.