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| title | chunk | source | category | tags | date_saved | instance |
|---|---|---|---|---|---|---|
| Aistis Raudys | 1/2 | https://en.wikipedia.org/wiki/Aistis_Raudys | reference | science, encyclopedia | 2026-05-05T16:46:39.422325+00:00 | kb-cron |
Aistis Raudys is a Lithuanian computer scientist and artificial intelligence specialist. He currently works as a professor and research fellow at Vilnius University's Faculty of Mathematics and Informatics. Over the course of his career, he has held senior research and leadership roles in both academia and industry. His main interests include: artificial intelligence, machine learning, large language models, financial intelligence, and data analysis.
== Personal life == Aistis Raudys was born in Vilnius, Lithuania, on October 11, 1975. He was raised in Lithuania, where he later went on to pursue a career in computer science and artificial intelligence, both academically and professionally. Currently, Raudys lives in Lithuania and is a Lithuanian national. He originally speaks Lithuanian, but he's also very good at English and Russian. He also has basic proficiency in French. He grew up surrounded by learning and education. His mother, Danutė Raudienė, is a Chemistry expert with a PhD, and his father is a computer science professor with a special title for his advanced research. Being around all this science and academia from a young age had a big impact on what he wanted to study and do with his life. It helped shape his interests and the path he chose for his career. Raudys is active in academic and professional communities related to artificial intelligence, data analysis, and informatics. He has participated in international academic events, conferences, and invited lectures, reflecting ongoing engagement with research and higher education.
== Career == Raudys has a PhD in informatics from Vilnius University's Institute of Mathematics and Informatics. Heis also a professor at the Faculty of Mathematics and Informatics and has worked on many research projects that use artificial intelligence in finance, robotics, speech processing, and transport optimization. In addition to his teaching and research duties, he provides expert academic consultation through Vilnius University's Faculty of Mathematics and Informatics, contributing to applied research evaluation and AI-related expertise. He has managed projects that got funding from big European research programs like Eurostars, Norway Grants, MITA, and Horizon Europe. Raudys has also served as Chief Executive Officer of AAI Labs, a company focusing on AI solutions such as predictive analytics, large language models, and algorithmic trading. He has presented his research at international conferences and academic workshops focusing on artificial intelligence, algorithmic trading, and data analysis. He was profiled in Lithuanian business media as the founder and manager of an algorithmic trading fund. In interviews with independent business and technology media, he has discussed the use of algorithms in financial markets, emphasizing the strengths and limitations of automated decision systems and the role of human oversight. He has also given guest lectures to graduate students at Kaunas University of Technology, where he showed how artificial intelligence and data science are used in research and industry. Raudys has shared his knowledge with students and professionals, discussing the applications of AI and data science in various fields. His work and expertise have been recognized in the industry, and he continues to contribute to the development of AI solutions and algorithmic trading. Outside academia, Raudys has been active in entrepreneurship. In 2018, he co-founded the applied artificial intelligence company Taikomasis dirbtinis intelektas (operating as AAI Labs) together with Tadas Šubonis, and has led the company. One of the company's early projects was Wittykiosk, a voice-enabled “smart receptionist” kiosk intended for large office buildings. In 2019, Lithuanian media reported that a Wittykiosk-built AI assistant was being installed for the Business Stadium West business centre in Vilnius, enabling visitors to obtain information and assistance via voice interaction (Lithuanian and English) and other on-site services. Raudys has been pretty active when it comes to teaching and sharing knowledge around the world. In 2023, he was invited to visit the University of Granada, which has a campus in Ceuta, Spain. During his visit, he shared his experience and ideas about teaching and researching artificial intelligence with the local universities and colleges.
== Research and Contributions == Raudys's research focuses on artificial intelligence and how it can be used in finance, machine learning, neural networks, energy forecasting, and intelligent transport systems. He has published extensively in peer-reviewed journals and presented his work at international conferences. He contributes to AI education through courses and seminars on artificial intelligence, large language models, machine learning, and financial intelligence. Raudys has taught AI courses at Vilnius University and given workshops to students and professionals around the world, supporting the development of AI expertise in Lithuania. Raudys is not only a university Lecturer, but he also shares his knowledge with others through public training courses and lectures on artificial intelligence, machine learning, and data analysis for students and professionals. and he has also contributed to international discussions on sustainable computing and urban digital transformation. His work has even been highlighted by the Arqus European University Alliance, particularly when it comes to understanding digital transition and sustainable AI-driven systems.
== Doctoral Research == On January 5, 2003, Raudys successfully defended his doctoral dissertation, “Feature extraction using neural networks”, at the Institute of Mathematics and Informatics. This research laid the groundwork for his future work in artificial intelligence and data analysis., with a particular emphasis on neural networks and feature extraction methods. By exploring the potential of neural networks in this context, Raudys was able to make significant contributions to the field, ultimately shaping his career in AI and data analysis. His dissertation marked an important milestone in his academic journey, demonstrating his expertise in a complex and rapidly evolving area of study
== Education == Doctor of Informatics, Institute of Mathematics and Informatics, Vilnius, Lithuania, 2003 Dissertation: Feature Extraction Using Neural Networks Master of Informatics, Kaunas University of Technology, Lithuania, 1997 Bachelor of Informatics, Vilnius University, Lithuania, 1999
== Selected Publications == Raudys has authored and co-authored numerous peer-reviewed journal articles, conference papers, and book chapters in the fields of artificial intelligence, finance, and data analysis.