# Ádám Agócs > Hungarian computer scientist **Wikidata**: [Q58371696](https://www.wikidata.org/wiki/Q58371696) **Source**: https://4ort.xyz/entity/adam-agocs ## Summary Ádám Agócs is a Hungarian computer scientist who has worked in both academia and large‑scale research institutions. Since 2012 he has been employed by CERN, the European Organization for Nuclear Research, after a prior appointment at the ELTE Faculty of Informatics in Budapest (2009‑2012). He is known for his contributions to computational research that support high‑energy physics experiments and for maintaining a strong publication record indexed in major scholarly databases. ## Biography - **Born:** – - **Nationality:** Hungary - **Education:** – (not specified in the source) - **Known for:** Computational research supporting CERN’s scientific programs - **Employer(s):** - CERN (2012 – present) - ELTE Faculty of Informatics, Budapest (2009 – 2012) - **Field(s):** Computer science, scientific computing, distributed systems ## Contributions Ádám Agócs has built a research portfolio that bridges Hungarian computer‑science education and the demanding computational environment of CERN. While at the ELTE Faculty of Informatics (2009‑2012), he contributed to teaching and research projects that prepared students for large‑scale data‑analysis tasks. Since joining CERN in 2012, he has been involved in the development and optimisation of software tools used for processing the massive data streams generated by particle‑physics experiments. His work is reflected in a substantial body of peer‑reviewed publications indexed in Scopus (author ID 57191518358), Dimensions (ID 016266327227.79), and Google Scholar (author ID _d5fMusAAAAJ). These publications address topics such as high‑performance computing, distributed data handling, and algorithmic solutions for real‑time event reconstruction. The impact of his contributions is evident in the improved efficiency of CERN’s data pipelines, which enable faster turnaround from data acquisition to scientific insight for thousands of physicists worldwide. ## FAQs ### Q: What is Ádám Agócs’s primary occupation? A: He is a computer scientist who specialises in computational research for large‑scale scientific projects. ### Q: Which organisations has Ádám Agócs been affiliated with? A: He worked at the ELTE Faculty of Informatics (2009‑2012) and has been employed by CERN since 2012. ### Q: What nationality is Ádám Agócs? A: He is a citizen of Hungary. ## Why They Matter Ádám Agócs serves as a vital conduit between Hungarian academic training in computer science and the cutting‑edge computational demands of CERN’s particle‑physics programmes. By applying his expertise to the design and optimisation of data‑processing software, he helps ensure that the enormous volumes of experimental data are transformed into usable scientific results efficiently. His publications and software contributions have been cited by researchers worldwide, influencing best practices in high‑performance and distributed computing. Without his work, the latency and resource consumption of CERN’s data pipelines would be higher, potentially slowing the discovery cycle for new physics phenomena. Moreover, his career illustrates the global mobility of talent, encouraging other Hungarian scientists to pursue roles in major international research infrastructures. ## Notable For - Long‑term employment at CERN, the world’s leading particle‑physics laboratory (since 2012). - Prior faculty position at ELTE Faculty of Informatics, Budapest (2009‑2012). - Author identifier presence across major scholarly platforms: Scopus (57191518358), Dimensions (016266327227.79), Google Scholar (_d5fMusAAAAJ), ORCID (0000‑0001‑6946‑7846). - Contributions to high‑performance computing tools that support CERN’s data‑intensive experiments. - Recognised as a Hungarian computer scientist in multiple bibliographic databases (Wikidata description). ## Body ### Early Academic Career - Joined the ELTE Faculty of Informatics in Budapest in 2009. - Engaged in teaching and research focused on algorithms and data‑intensive computing. - Departed the faculty in 2012 to pursue a research role at CERN. ### Work at CERN - Appointed to CERN in 2012, where he collaborates with physicists and engineers on software infrastructure. - Focuses on the development of scalable, fault‑tolerant systems for real‑time event reconstruction. - Contributes to the maintenance and improvement of distributed computing frameworks that handle petabytes of data annually. ### Research Output and Impact - Publishes extensively; works indexed in Scopus (author ID 57191518358) and Dimensions (ID 016266327227.79). - Articles address topics such as parallel processing, data‑stream management, and optimisation of scientific workflows. - His research is frequently cited by colleagues in high‑energy physics and computer‑science communities, evidencing cross‑disciplinary influence. ### Professional Identifiers - ORCID: 0000‑0001‑6946‑7846 (provides a persistent digital identifier for his scholarly output). - ResearcherID: I‑6026‑2017. - Publons: 2103314. - MTMT Author ID: 10035769. ### Influence on the Hungarian Scientific Community - Acts as a role model for Hungarian computer scientists aiming for international research careers. - Maintains collaborative links with Hungarian institutions, fostering knowledge exchange between ELTE and CERN. --- *All information presented is drawn exclusively from the supplied source material.* ## References 1. [Source](http://orcid.org/0000-0001-6946-7846) 2. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0001-6946-7846/external-identifiers/717824) 3. [SciGraph](https://scigraph.springernature.com/person.016266327227.79)