Mrs. Iustina Ivanova, FBK, Italy
Iustina Ivanova is an accomplished researcher in the field of Artificial Intelligence (AI) with a focus on computer vision and machine learning applications in real-world scenarios. She holds a Master’s degree in Artificial Intelligence from the University of Southampton, where she earned distinction for her research on neural networks for object detection. Currently, Iustina is engaged in AI research in smart agriculture at the Foundazione Bruno Kessler in Italy. Over the years, she has contributed to a variety of high-impact projects, including developing a recommender system for outdoor sport climbers and researching sensors for sports activity analysis. Her work has earned her several well-regarded publications and recognition in the AI and computer vision communities.
Professional Profile
Scopus
Orcid
Summary of Suitability for the Research for Best Researcher Award
Iustina Ivanova demonstrates exceptional qualifications for the “Research for Best Researcher Award.” Her academic background, professional experience, and research contributions highlight her significant impact on the fields of artificial intelligence (AI), machine learning, and computer vision. Her academic journey is distinguished by a Master’s degree in Artificial Intelligence with distinction from the University of Southampton and ongoing research pursuits during her Ph.D. studies. While her Ph.D. remains incomplete, the work she has undertaken—such as her contributions to recommender systems and computer vision—showcases her ability to address complex, real-world problems.
Professionally, Iustina’s research experience is diverse and impactful. At the Foundazione Bruno Kessler, she has been actively involved in applying AI to smart agriculture, addressing sustainability and innovation in the domain. Her previous roles, including as a Computer Vision Data Scientist and Data Science Moderator, further demonstrate her ability to bridge academia and industry.
Education
Iustina Ivanova has an impressive academic background in computer science and AI. She completed her Master of Science in Artificial Intelligence with distinction at the University of Southampton, UK, in 2018. Before that, she earned a Specialist degree in Software Engineering from Bauman Moscow State Technical University, Russia, in 2013. In 2019, she pursued a PhD in Computer Science at the Free University of Bolzano, Italy, although she later decided to focus more on practical AI applications. Her academic journey includes notable achievements such as developing research in neural networks for object detection, which has been the cornerstone of her professional career in AI.
Professional Experience
Iustina Ivanova has a diverse and robust professional background in AI and computer vision. She currently works as a researcher at the Foundazione Bruno Kessler, Italy, specializing in the use of AI for smart agriculture. Prior to this, Iustina served as a Data Science Moderator at Netology, Russia, where she designed and delivered online courses in statistics and mathematics for data science students. She also worked as a Computer Vision Data Scientist at OCRV, Russia, where she helped develop a video-based tracking system for railway workers, focusing on object detection and worker time measurement. Iustina’s role as a teacher of informatics and mathematics at Repetitor.ru involved preparing high school students for their final exams, ensuring that many students successfully entered top universities. Throughout her career, she has collaborated on numerous innovative projects in AI, particularly in outdoor sports and smart agriculture.
Awards and Recognition
Iustina Ivanova’s dedication and excellence in the field of AI have been recognized through multiple prestigious awards and accolades. Notably, she won several editions of the NOI Hackathon, including the SFSCON Edition (2021, 2022, 2024) and the Open Data Hub Edition (2022), showcasing her ability to create cutting-edge solutions in AI and data science. Her contributions to research and development in AI for sports activity analysis and computer vision have been published in highly regarded journals and conferences, such as the ACM Conference on Recommender Systems and IEEE Conferences. Iustina has also received recognition for her teaching contributions, inspiring future generations of data scientists. Her projects, especially those related to sports climbers’ recommender systems and sensor data analysis, have received wide acclaim for their innovation and real-world impact.
Iustina Ivanova’s research expertise spans artificial intelligence, machine learning, computer vision, and recommender systems. She is particularly skilled in using AI techniques to solve complex problems in real-world applications. Her work with neural networks for object detection and sensor data analysis has led to significant advancements in both sports and smart agriculture sectors. Iustina is proficient in Python, OpenCV, machine learning frameworks like PyTorch and TensorFlow, and data analysis tools such as Jupyter Notebook and Git. She is well-versed in the development of recommender systems and has implemented innovative solutions for outdoor sports, including climbing crag recommendations. Her interdisciplinary approach combines knowledge from software engineering, data science, and AI to design systems that enhance user experience and improve decision-making. Iustina is committed to the continual development of her skills, evident in her participation in advanced data science and deep learning courses, as well as her extensive practical work in AI.
Publication Top Notes
-
Climbing crags repetitive choices and recommendations
- Author: Ivanova, I.
- Citation: Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023
- Year: 2023
- Pages: 1158–1164
-
How can we model climbers’ future visits from their past records?
- Authors: Ivanova, I., Wald, M.
- Citation: UMAP 2023 – Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
- Year: 2023
- Pages: 60–65
-
Introducing Context in Climbing Crags Recommender System in Arco, Italy
- Authors: Ivanova, I.A., Wald, M.
- Citation: International Conference on Intelligent User Interfaces, Proceedings IUI
- Year: 2023
- Pages: 12–15
-
Climbing crags recommender system in Arco, Italy: a comparative study
- Authors: Ivanova, I., Wald, M.
- Citation: Frontiers in Big Data
- Year: 2023
- Volume: 6, Article: 1214029
-
Map and Content-Based Climbing Recommender System
- Authors: Ivanova, I.A., Buriro, A., Ricci, F.
- Citation: UMAP2022 – Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
- Year: 2022
- Pages: 41–45
-
Climbing Route Difficulty Grade Prediction and Explanation
- Authors: Andric, M., Ivanova, I., Ricci, F.
- Citation: ACM International Conference Proceeding Series
- Year: 2021
- Pages: 285–292
-
Climber behavior modeling and recommendation
- Author: Ivanova, I.
- Citation: UMAP 2021 – Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization
- Year: 2021
- Pages: 298–303
-
Knowledge-based recommendations for climbers
- Authors: Ivanova, I., Andrić, M., Ricci, F.
- Citation: CEUR Workshop Proceedings
- Year: 2021
- Volume: 2960
-
Climbing activity recognition and measurement with sensor data analysis
- Authors: Ivanova, I., Andric, M., Janes, A., Ricci, F., Zini, F.
- Citation: ICMI 2020 Companion – Companion Publication of the 2020 International Conference on Multimodal Interaction
- Year: 2020
- Pages: 245–249
-
Video and Sensor-Based Rope Pulling Detection in Sport Climbing
- Authors: Ivanova, I., Andrić, M., Moaveninejad, S., Janes, A., Ricci, F.
- Citation: MMSports 2020 – Proceedings of the 3rd International Workshop on Multimedia Content Analysis in Sports
- Year: 2020
- Pages: 53–60