Category: Englisch

Award-winner Stefano De Blasi (centre) with Secretary of State Bernd Sibler (left) and Reimund Gotzel, Bayernwerk AG CEO (right) (photo: Bayernwerk AG)

Bayernwerk AG honours the best TH Aschaffenburg graduate.

TH-AB graduate Stefano De Blasi was awarded the Bavarian Culture Award by Bayernwerk for his master's thesis in which he developed a new method for analysing the flow of information in the brain. De Blasi comes from Lohr am Main and is one of 33 graduates from Bavarian state colleges and universities to be awarded the bronze statue “Gedankenblitz” (“Brainwave”) at the Brauhaus am Nockherberg in Munich last Thursday evening. Winners also receive a cash payment of EUR 2,000. The awards were presented by Bayernwerk AG CEO Reimund Gotzel and Secretary of State Bernd Sibler.

This was the 15th time that Bayernwerk, together with the Bavarian Ministry of Science and the Arts, has presented the Bavarian Culture Award to honour outstanding achievements in the arts and sciences: the award goes to the 33 top graduates of Bavarian state universities, five creative artists and one special prize winner. “All of our award-winners are actively involved in shaping Bavaria's culture, science and arts, so they’re setting trends for our future. The Bavarian Culture Award is a sign of appreciation and gratitude,” explained Reimund Gotzel. The theses by the graduates and doctoral students are from a range of different disciplines and cover a broad spectrum of socially relevant topics.

Important step in Alzheimer's research
Engineer Stefano De Blasi holds a master's degree in electrical engineering and information technology from TH Aschaffenburg. His master thesis was supervised by Prof. Christiane Thielemann, who is head of the BioMEMS Lab at TH Aschaffenburg and involved in basic research in the field of neuroscience. Here scientists are investigating neuronal networks such as the brain. Stefano De Blasi provides key insights for the future treatment of Alzheimer's disease. The 27-year-old has developed a method for analysing the flow of information in the brain. The effective connections between the neuronal cells are reconstructed or estimated based on detected or identified action potential. The connectivity estimation method “Total Spiking Probability Edges” (TSPE) developed by Stefano De Blasi surpasses existing methods in terms of estimation accuracy and computing speed. The TSPE method is useful for gaining an understanding of biological functions such as learning and forgetting. Stefano De Blasi lives in Lohr am Main, where he also works. De Blasi intends to remain in the research field and is currently writing his doctoral thesis.