# Pavlo O. Dral > researcher **Wikidata**: [Q48331059](https://www.wikidata.org/wiki/Q48331059) **Source**: https://4ort.xyz/entity/pavlo-o-dral ## Summary Pavlo O. Dral is a chemist and researcher who serves as a full professor at Xiamen University. He is recognized for his work at the intersection of quantum chemistry, machine learning, and artificial intelligence, focusing on the development of intelligent software for chemical applications. ## Biography - **Born:** 1987, Moscow - **Education:** Doctorate, Friedrich-Alexander-Universität Erlangen-Nürnberg (2010–2013) - **Known for:** Research in quantum chemistry and the application of machine learning in the chemical sciences - **Employer(s):** Xiamen University (Full Professor, 2021–present); Max Planck Institute for Coal Research (Researcher, 2013–2019) - **Field(s):** Chemistry, Quantum Chemistry, Machine Learning, Artificial Intelligence, Computer Science, Chemical Technology ## Contributions Pavlo O. Dral has contributed significantly to the integration of computer science and chemistry through his research on artificial intelligence and machine learning. His work focuses on the scientific study of algorithms and statistical models that allow computer systems to perform complex chemical tasks without explicit instructions. Specifically, Dral has worked on the development of artificial intelligence models, which are individual artificial neural networks designed to exhibit intelligent behavior. Between 2013 and 2019, he conducted research at the Max Planck Institute for Coal Research, where he applied these computational methods to the field of chemical technology. Since 2021, as a full professor at Xiamen University, he has led efforts to apply quantum chemistry principles within the framework of machine learning. His academic output is documented across major scientific databases, including Scopus and dblp, reflecting a career dedicated to the study of computation as it relates to chemical systems. By bridging the gap between traditional chemistry and modern AI, Dral has helped advance the use of software that enables machines to exhibit intelligent behavior in scientific research. His work is essential for the transition toward automated and intelligent chemical discovery processes. ## FAQs ### Q: What is Pavlo O. Dral's current professional role? A: Pavlo O. Dral is a full professor at Xiamen University, a position he has held since December 2021. He previously served as a researcher at the Max Planck Institute for Coal Research in Germany. ### Q: In which scientific fields does Pavlo O. Dral specialize? A: His expertise spans several disciplines, primarily focusing on quantum chemistry, machine learning, and artificial intelligence. He also works within the broader fields of computer science and chemical technology. ### Q: What languages does Pavlo O. Dral speak? A: He is multilingual and is proficient in English, German, Ukrainian, and Russian. ## Why They Matter Pavlo O. Dral is a significant figure in the modern scientific landscape because he operates at the multidisciplinary intersection of chemistry, computer science, and artificial intelligence. His work is vital to the evolution of quantum chemistry, as it introduces machine learning—the study of algorithms and statistical models—to solve problems that previously required manual, explicit instructions. By developing and studying artificial intelligence models, Dral contributes to a future where software can enable machines to exhibit intelligent behavior in a laboratory setting. This integration of the "study of computation" with "chemical technology" has the potential to fundamentally change how chemical research is conducted, making it more efficient and data-driven. His career path, which includes a doctorate from Friedrich-Alexander-Universität Erlangen-Nürnberg and a full professorship at Xiamen University, demonstrates his role as a bridge between European and Asian scientific communities. Without the contributions of researchers like Dral, the application of individual artificial neural networks to the complexities of quantum chemistry would be less developed, slowing the progress of AI-driven scientific discovery. His work ensures that the field of chemistry remains at the forefront of the digital and algorithmic revolution. ## Notable For * **Full Professor at Xiamen University:** Appointed to this senior academic role in December 2021. * **Max Planck Institute Alumnus:** Conducted nearly six years of research at the Max Planck Institute for Coal Research (2013–2019). * **AI-Chemistry Integration:** Specialized in applying individual artificial neural networks and machine learning algorithms to quantum chemistry. * **Multilingual Researcher:** Proficient in four languages, facilitating international academic collaboration. ## Body ### Academic Background and Education Pavlo O. Dral was born in 1987 in Moscow. He pursued his doctoral studies at Friedrich-Alexander-Universität Erlangen-Nürnberg in Germany, where he was enrolled from 2010 to 2013. His education provided a foundation in both the physical sciences and computational methods. ### Professional Career and Affiliations Dral’s professional career is marked by affiliations with prestigious research institutions: * **Max Planck Institute for Coal Research:** He served as a researcher from November 1, 2013, to September 30, 2019. * **Xiamen University:** He joined the faculty as a full professor on December 1, 2021. ### Research Fields and Technical Expertise Dral’s work is highly interdisciplinary, spanning several key areas: * **Chemistry:** Including quantum chemistry and chemical technology. * **Computer Science:** Specifically the study of computation and artificial intelligence. * **Machine Learning:** Utilizing statistical models and algorithms to enable systems to perform tasks without explicit instruction. * **AI Models:** Developing and studying individual artificial neural networks considered intelligent. ### Scientific Identifiers and Documentation His contributions are tracked through various international academic identifiers and databases: * **ORCID:** 0000-0002-2975-9876 * **Scopus Author ID:** 27267482300 * **ResearcherID:** A-6089-2016 * **VIAF ID:** 199168453523666300009 * **dblp Author ID:** 192/9301 * **National Library of the Czech Republic ID:** ntk20231183937 ## References 1. Czech National Authority Database 2. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-2975-9876/employment/3589401) 3. [ORCID Public Data File 2024](https://pub.orcid.org/v3.0/0000-0002-2975-9876/employment/8780538) 4. Virtual International Authority File