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Engineering Applications of Machine Learning: Real-World Case Studies

Research Empowers Us

prof. Jonatan Lerga
  • University of Rijeka, Croatia
  • 06/05/2026 6:00 pm
  • Room 048 and online
  • Online meet
This seminar provides a comprehensive overview of real-world engineering applications of machine learning, showcasing how advanced algorithms can be effectively applied across diverse domains. It begins by outlining the research landscape at the University of Rijeka and its interdisciplinary approach to artificial intelligence, emphasizing collaboration between academia and industry. The core of the seminar presents a series of case studies, including applications in medical image analysis, remote sensing, underwater inspection, and intelligent surveillance systems, demonstrating high-performance results achieved through state-of-the-art models. Additional examples highlight the use of machine learning in signal processing, sports analytics, music transcription, and geophysical data analysis, illustrating the versatility of these techniques. The presentation also explores emerging applications in hydrology, maritime systems, power systems, and IoT, where machine learning enables predictive, energy-efficient, and scalable solutions. Overall, the seminar emphasizes the transition from theoretical models to practical, deployable systems that address complex real-world challenges.

Short Bio:

Jonatan Lerga, D.Sc., is a researcher in digital signal processing, information processing, and machine learning. He participated and led several research projects, funded by local, national and European funding sources, as well as co-authored a number of papers in peer-reviewed journals and on scientific conferences. He is holding the position of Associate Professor at the University of Rijeka, Faculty of Engineering (RITEH), and is presently Head of the Department of Computer Engineering at the RITEH, as well as Head of the Center. He received several awards for his work, such as awards from the Croatian Academy of Engineering (2012), City of Rijeka (2015), Primorje-Gorski Kotar County (2018), and University of Rijeka Foundation (2008, 2010, 2018). He is also a member of the Workgroup for preparing the National Plan for Development of Artificial Intelligence (Ministry of Economy, Entrepreneurship and Crafts, Croatia). Besides, he is the Local Coordinator of CEEPUS network “International Cooperation in Computer Science“, Vice-President of the Alumni Club of the Faculty of Engineering, as well as Lead Guest Editor of EURASIP Journal on Advances in Signal Processing, and Associate Editor of the Engineering Review journal. He reviewed over 100 papers for international journals. He is teaching Information Theory and Coding, Digital Image Processing, Applied Computing, Digital Logics, and Computer Software in Engineering at the RITEH.