Smart Artificial Intelligence Methods for Analysis and Resilient Modelling of Big Biomedical Data
(SMART-AIM)
The SMART-AIM interchange invites you to a cultural and academic interchange of disciplines to contribute to addressing complex societal challenges and interdisciplinary research about AI and modelling of Big Biomedical Data.
A dynamic partnership has been established for teaching and research among the HTWG Konstanz, the Reutlingen University (Germany), and the innovative German Jordanian University (GJU) in Amman (Jordan). This collaboration fosters an interdisciplinary approach that promotes synergy across diverse fields. The primary objective of this alliance is to cultivate a distinct scientific community dedicated to the effective integration of Artificial Intelligence (AI) into modern healthcare and medical applications. By doing so, the partnership aims to enhance the resilience of healthcare systems, ensuring that they can adapt and thrive in the face of evolving challenges.
In this exciting collaboration, we will immerse students and researchers in the complex and profound challenges presented by medical AI and Big Data, focusing specifically on the dynamic intersection of physiology and machine learning. As a student, you will have the opportunity to develop invaluable skills in the art of analyzing medical sensor data drawn from extensive and diverse patient populations. You will harness innovative artificial intelligence techniques and utilize state-of-the-art cloud-based computing platforms to create robust and resilient models that can adapt to a wide array of medical scenarios.
This initiative will also establish a pioneering pilot cooperative research group, where dedicated researchers will engage in intensive training. They will learn to uncover and formulate critical questions within vast medical datasets, refine their analysis methods, and derive meaningful insights and discoveries through the power of artificial intelligence. This enriching experience stands to transform our understanding of medical data and significantly contribute to advancements in healthcare.
Dr. Ralf Seepold
HTWG Konstanz
Dr. Natividad Martinez Madrid
Reutlingen University
Dr. Hisham ElMoaqet
German Jordanian University
The grants are designed to support students from three universities: HTWG, HR, and GJU. Students have two exciting opportunities to secure funding for enriching academic experiences:
Konstanz, Germany – Reutlingen, Germany – Amman, Jordan
The registration will be opened in October 2025. More information will be published here.