Prof. Dr. habil. Eng. Karol Kozak
Professor: Cybersecurity for AI, AI for 3D Image Processing, Databases
Professor: Cybersecurity for AI, AI for 3D Image Processing, Databases
Professor Kozak is a dedicated computer scientist, researcher, and educator who believes that love and compassion can solve even the most complex problems in technology and beyond. He often says, “You don’t have to call me professor; I’m just Lolek or Uncle Lolek,” a diminutive form of the name Karol, or Kalolek.
“Data shows us what has been. Artificial intelligence predicts what may happen. Human beings decide what should happen, guided by knowledge, responsibility, and a commitment to the well-being of others.”
-Karol Kozak
I am a human being. I am defined by my relationship with people and the world. I strive to ensure that it is grounded in respect, even toward people, ideas, and phenomena that I do not fully understand.
I am a computer scientist. This is my foundation. Being a computer scientist allows me to explore the digitalization-human world through multiple lenses, to question assumptions, to ask precise questions, to search for answers, and to synthesize complex technical and socio-technical systems.
I am a sports-oriented person. I love swimming, dancing, snow sports, and Japanese martial disciplines. Physical activity gives me a sense of freedom, balance, and clarity. Sport has always been an important part of my life, and at one point I wanted to study it professionally. I am a marathon or city-run runner. A long-distance runner’s mindset makes me resilient, persistent, and patient in pursuing goals. Long-distance running trains both body and mind. The sense of accomplishment after finishing a run is invaluable.
I work in the fields of databases, medical image processing, and cybersecurity for medical image (3D) data. This is my greatest scientific passion. I study how medical images are acquired, processed, stored, analyzed, and protected, conducting research at the intersection of computer science, medicine, data science, and health technologies.
I am a scientist. This is my credo. Nothing is more important to me than love & evidence, and science is a vast landscape that continues to inspire and challenge me.
I am a researcher. I am not sure whether I enjoy asking questions more or finding answers to them. Designing algorithms, building data-driven systems, and analyzing results gives me joy every time, like a child discovering a new toy.
I am a socio-medical computer science researcher. People, society, medicine, and digital technologies are inseparably connected. As the head of a Cybersecurity-Iamging Research Center, I conduct studies aimed at understanding relationships between medical data, image-based diagnostics, cybersecurity, patients, healthcare professionals, and healthcare systems.
I am a researcher in medical, industrial and technological aspects of vaccination. I develop a multidisciplinary research area that combines medical knowledge with data analysis, information systems, and security. Studying how vaccination data, medical images, and public understanding intersect with technology and trust is intellectually fascinating.
I am an observer. I continuously record interactions between people and technologies. I store patterns, subtle signals on the hard drive of my mind. I enjoy observing, listening, and sharing these insights during workshops on communication, data interpretation, and technology use in medicine. Attention to nonverbal and contextual signals has helped me many times in research and life.
I am an educator-scientist. This role combines research with teaching. I take science and technology very seriously, but I am equally committed to explaining complex computational and medical concepts in clear and accessible language to those outside my field. I treat the popularization of science and technology as a mission.
I am a teacher. For many years I have taught students and learned from them. Each time I stand in front of a new group, I feel a sense of nervousness and, at the same time, excitement about a new teaching journey. I use the World Café format in my teaching. I value dialogue, small-group exchange, and shared reflection. I enjoy building socially connected groups in my classes. This matters to me even in cybersecurity or other demanding computer science fields. Strong technical learning grows faster when people feel included, heard, and willing to collaborate.
Karol Kozak is a Polish- German computer scientist, entrepreneur, academic and author. He is a professor, in charge of Biomedical Computer Science Unit at Medical Faculty, Technische Universität Dresden and Leading Cybersecurity Defense Team at State of Saxony, in Dresden, Germany and Professor at DSW-Merito University in Wroclaw, Poland. He has published one book, 6 books/book chapters and 76 papers in scientific journals with high impact factor in the areas of computational methods for industry, cybersecurity and large scale biomedical data. He is member and advisor of Institute of Applied Informatics in Leipzig. He has been involved in the organization of various conferences, most notably the Medical Informatics, Bioinformatics, Cybersecurity-series of symposia on Intelligent Data Management.
Kozak was born in 1976 in Białogard, Polen. He received his MSc degree in computer science[4] in 2001 from Technical Univeristy Radom/ Exchange Program with Technical University Dresden. He received his Dr. rer. nat. degree from Max Planck Society, Germany in cooperation with Silesian University of Technology, POLAND (in discipline: AI, machine learning, biology). Karol Kozak was awarded in 2012 as Junior Professor for Bioinformatics at Philips Marburg University, GERMANY. He became doctor habilitatus in the field of databases for medicine and biotechnology. He became in 2015 a professor title at Medical Faculty, Technical University Dresden in collaboration with Fraunhofer Society.
Kozak was born in 1976 in Białogard, Polen. He received his MSc degree in computer science in 2001 from Technical Univeristy Radom/ Exchange Program with Technical University Dresden. He received his Dr. rer. nat. degree from Max Planck Society, Germany in cooperation with Silesian University of Technology, POLAND (in discipline: AI, machine learning, biology). Karol Kozak was awarded in 2012 as Junior Professor for Bioinformatics at Philips Marburg University, GERMANY. He became doctor habilitatus in the field of databases for medicine and biotechnology. He became in 2015 a professor title at Medical Faculty, Technical University Dresden in collaboration with Fraunhofer Society.