Erasmus+ KA171: Round table

Posted by MaLLat

Obranjen doktorski rad

Posted by MaLLat

U ponedjeljak, 28. travnja 2025. u 12 sati Ive Botunac je obranio doktorski rad SUSTAV ZA AUTOMATSKO TRGOVANJE DIONICAMA NA TRŽIŠTU KAPITALA
TEMELJEN NA DUBOKOM PODRŽANOM UČENJU. Rad je izrađen pod mentorstvom prof. dr. sc. Maje Matetić, a obranjen je pred povjerenstvom za ocjenu i obranu doktorskog rada u sastavu prof. dr. sc. Ivo Ipšić, prof. dr. sc. Sanja Seljan i izv. prof. dr. sc. Marija Brkić Bakarić. Čestitke Ivi i mentorici na izvanrednim postignućima!

Erasmus+ KA171: PhD Students from China Agricultural University Visit FIDIT

Posted by MaLLat

As part of our ongoing commitment to international research collaboration and knowledge exchange, Lab for Data Engineering and Computational Linguistics of the Faculty of Informatics and Digital Technologies is pleased to host two visiting PhD students from China Agricultural University in the period from April 1 to May 31, 2025.

ERASMUS+ KA171: New Insights from the project

Posted by MaLLat

In a recent joint study published in Aquaculture (ScienceDirect), we tackled a crucial yet often overlooked question: how do we measure stress in aquatic animals—particularly when they’re exposed to challenging conditions?

We performed a comprehensive review of existing stress-indicating methods in fish and shellfish, distinguishing between two categories:

• Contact indicators, such as measuring cortisol levels in blood or tissues—accurate but invasive and sometimes harmful.
• Non-contact indicators, like monitoring behavior, changes in water chemistry, or using imaging and telemetry—a gentler approach, better suited for animal welfare.

We propose a new classification system to organize these metrics by how invasive they are and how reliably they signal stress.

Key Findings

• Traditional contact methods (e.g., blood cortisol) remain reliable but stressful and often impractical for large-scale use.
• Emerging non-contact techniques—behavioral monitoring, remote imaging, and water-based indicators—show promise for welfare-friendly stress detection.
• The proposed taxonomy helps aquaculturists balance accuracy with animal wellbeing, guiding them toward the most appropriate stress-measurement strategy for specific situations.

The study is available here.

Obrana teme doktorske disertacije Tomislava Ivanovskog

Posted by MaLLat

Dana 20.4. u 12 sati u učionici O-357 Fakulteta za informatiku i digitalne tehnologije doktorand Tomislav Ivanovski obranio je temu doktorskog rada pod nazivom “Predviđanje zrelosti breskve temeljeno na prirodom inspiriranim metaheuristikama” pred povjerenstvom u sastavu prof. dr. sc. Ivo Ipšić, izv. prof. dr. sc. Marija Brkić Bakarić i prof. Boris Vrdoljak te zornim mentorstvom voditeljice projekta prof. dr. sc. Maje Matetić i komentorstvom suradnika doc. dr. sc. Marka Gulića.