Prof. Eva Henrietta Dulf
The complexity of modern healthcare, along with the rapid pace of medical advancements, increasingly surpasses the cognitive and time capacities of clinicians. To keep pace, the future of personalized medicine will rely on harmonized, integrative analysis of large-scale clinical and biological data.
Software and intelligent systems that support clinical decision-making and process automation offer promising solutions to these challenges. This keynote will present the work of the Advanced Process Control Methods research group, highlighting key achievements and ongoing projects at the intersection of healthcare and technology.
Three core areas will be explored: control systems, signal processing, and image processing in medical applications. These technologies not only enhance clinical safety but also advance the broader goals of personalized and precision medicine.
Eva Henrietta Dulf (Senior Member, IEEE) is the head of the ADAPTED research group (https://control.utcluj.ro) and a professor in the Department of Automation at the Technical University of Cluj-Napoca, Romania. She earned her PhD in 2006 and completed her habilitation in 2015. Her research interests include modern control strategies, fractional-order controller design, and the modeling, simulation and control of biochemical and medical processes. She has authored over 150 scientific publications, holds an h-index of 26 with more than 2,500 citations, and has a cumulative impact factor exceeding 200. She is listed in the Stanford World’s Top 2% Scientists database. She has received 46 awards at international invention exhibitions. She has led or contributed to 38 research projects and has organized special sessions at major international conferences, as well as guest-edited special issues in leading journals.