About Me
Dr. sc. Sandi Baressi Šegota, univ. mag. ing. comp., is an Assistant Professor at the Faculty of Informatics, Juraj Dobrila University of Pula, where his research predominantly focuses on Artificial Intelligence and Machine Learning. He earned his Doctorate of Science in Electrical Engineering in 2025. After completing Secondary Technical School Pula in 2013 and obtaining the qualification of Electrical Technician, he graduated from the Faculty of Engineering, University of Rijeka, with a bachelor’s degree (cum laude) in Computer Science in 2017 and a master’s degree (cum laude) in the same field in 2019. He enrolled in doctoral studies at the Faculty of Engineering in Rijeka later that year.
During his studies, he was an active member of the academic community, serving on the Student Council of the Faculty of Engineering and as the representative of doctoral students from 2020 to 2022. He began his professional career at the University of Rijeka in 2019 as a junior researcher and expert associate, working on the CEKOM SmartCity.4DII (KK.01.2.2.03.0004) and the Scientific Center of Research Excellence in Data Science “DATACROSS” (KK.01.1.1.01.0009).
In the private sector, he serves as a Lead Developer at dAIgnostics LLC, which focuses on groundbreaking research in health informatics and early neurodegenerative diagnostics. He also coordinates the architectural strategy and software implementation for the skincare mobile platform startup “LiberiqAI”, exploring agentic structures. He frequently engages in joint academic outreach, delivering lectures at various events.
Throughout his academic career, Dr. Baressi Šegota has coauthored over 50 papers indexed in the Web of Science Core Collection, 30% of which he authored as the first author. He has also coauthored over 25 conference papers, 6 extended abstracts, and 1 book chapter. According to Google Scholar, his publications have been cited more than 1,000 times in total. His scientific and professional achievements have been recognized with several awards, including the 2021 Award for Exceptional Contribution to the Development and Promotion of Technical Culture by the Community of Technical Culture Pula and the Best Paper Award in the field of Artificial Intelligence in Medical Science at the SICAAI conference in 2023.
Beyond his academic and research activities, Dr. Baressi Šegota is an active member of the Astronomical Society “Istra” Pula (ADIP), which he joined in 2008. He has served as a member of the directorate since 2021 and as General Secretary since 2025. He serves as a representative in multiple bodies, including the Croatian Astronomical Union and the Community of Technical Culture, and volunteers for projects such as STEM Games and Istra-STEM. He has also been a member of the Institute of Electrical and Electronics Engineers (IEEE) since 2021 and of the Global Meteor Network (GMN) since its inception.
Dr. sc. Sandi Baressi Šegota, univ. mag. ing. comp., is an Assistant Professor at the Faculty of Informatics, Juraj Dobrila University of Pula, specializing in Artificial Intelligence and Machine Learning. He earned his Doctorate of Science in Electrical Engineering in 2025. He previously earned his computer science bachelor’s (2017) and master’s (2019) degrees cum laude from the University of Rijeka, and qualified as an Electrical Technician in 2013.
In the private sector, he serves as a Lead Developer at dAIgnostics LLC, focusing on groundbreaking research in health informatics and early neurodegenerative diagnostics. He also coordinates the architectural strategy and software implementation for the skincare mobile platform startup “LiberiqAI”, exploring agentic structures. Additionally, he is active in joint academic outreach, delivering lectures at various events.
Throughout his career, Dr. Baressi Šegota has coauthored over 50 papers indexed in the Web of Science Core Collection (30% as first author), alongside over 25 conference papers, 6 extended abstracts, and 1 book chapter. His work has garnered more than 1,000 citations on Google Scholar. His honors include the 2021 Award for Exceptional Contribution to the Development and Promotion of Technical Culture by the Community of Technical Culture Pula, and the Best Paper Award in Artificial Intelligence in Medical Science at the 2023 SICAAI conference.
Beyond academia, he has been an active member of the Astronomical Society “Istra” Pula (ADIP) since 2008, currently serving as General Secretary. He volunteers for STEM Games and Istra-STEM, and is a member of IEEE and the Global Meteor Network.
Dr. sc. Sandi Baressi Šegota is an Assistant Professor at the Faculty of Informatics, Juraj Dobrila University of Pula, specializing in Artificial Intelligence and Machine Learning. Holding a 2025 PhD in Electrical Engineering from the University of Rijeka, his extensive research includes over 50 WoS-indexed papers and 1,000+ citations. In the private sector, he is a Lead Developer at dAIgnostics LLC and coordinates architectural strategy for the startup LiberiqAI. An award-winning academic, he also actively promotes STEM and serves as General Secretary of the Astronomical Society “Istra” Pula, while holding memberships in the IEEE and Global Meteor Network.
Dr. sc. Sandi Baressi Šegota is an Assistant Professor at Juraj Dobrila University of Pula, specializing in AI and Machine Learning. Holding a 2025 PhD in Electrical Engineering, he has coauthored over 50 WoS-indexed papers with 1,000+ citations. He is a Lead Developer at dAIgnostics LLC and coordinates architecture for LiberiqAI. An award-winning scientist, he also serves as General Secretary of the Astronomical Society “Istra” Pula and holds memberships in the IEEE and GMN.
Dr. sc. Sandi Baressi Šegota is an Assistant Professor at Juraj Dobrila University of Pula focusing on AI. With a 2025 PhD, he leads development at dAIgnostics LLC and is General Secretary of the Astronomical Society “Istra” Pula.
Read the
Recent and most cited work is on the publications page, and the full CV, including a PDF, is here.
Skills
A chart of what I actually work on
Every star is a skill. Its brightness is the weight of published papers and public code behind it — nothing here is self-assessed. Pick one to read the evidence.
The chart is generated, not written: every level is derived from the papers and repositories listed against it, with a manual boost only for work that leaves no public trace.