Prof. Andrzej Pacut

Research interests: neural networks, artificial intelligence, biometrics, machine learning, uncertainty modeling

Professor Andrzej Pacut’s research work includes such areas as:

 

  • neural networks and artificial intelligence,
  • learning for natural and artificial intelligence (spaces of very many dimensions),
  • identification, biometrics,
  • uncertainty modeling (probabilistic, statistical, biological) for businesses and research institutions.

 

Professor Andrzej Pacut’s topics of research included

 

  • the effect of surgical procedures and drugs on learning dynamics,
  • first-pass problems for a proposed methodology for analyzing behavioral experiments,
  • image analysis for the problem of predicting the results of bone transplants (for AM Warsaw),
  • adaptive control for eye-motor reflex and cerebellar modeling (Nencki Institute),
  • predictive models for the natural gas transmission system (Inst. of Gas Engineering) and for flood flow forecasting (IMGW),
  • time-frequency and wavelet analysis (digital spectrum analyzer Tektronix Inc, work for Hughes Corp.),
  • detection of cellular changes associated with chemicals and poisons (DARPA USA),
  • risk analysis in certain games of chance (Gtex corp. USA), mathematical morphology (a system for detecting board damage for sawmills in the USA),
  • model granulation problems or neural networks for machine learning.

 

Professor Andrzej Pacut has led more than a dozen large-scale scientific and technical projects, (including so-called “defense” projects), including PBIB, BioPKI, BioWiz, BioSec, BioMobi, AFIQ, as well as the scientific team in the APAKT project. He has held research internships at Brown University and Oregon State. He was the supervisor of 11 completed PhDs. He co-organized the Bio-Inspired Signal and Image Processing international conference and the annual Biometrics national conferences, which are the first forum for the presentation of the emerging field of biometrics in Poland (universities, state institutions and the judiciary all participate). In addition, he organized and chaired the Technical Committee of KT309 (for Biometrics) of the Polish Committee for Standardization, as an ISO expert in this field and a member of KT182 of PKN for Security of Information and Communication Systems. For 4 years he served as chairman of the Polish Section of the IEEE, currently – Senior Member of the IEEE.

 

Professor Pacut is the author of about 200 articles published in scientific journals, papers presented at conferences, and the book “Probability-Theory. Probabilistic Modeling in Technology” (WNT), as well as co-author of a patent and several patent applications. For his scientific achievements, he was awarded the Knight’s Cross of the Order of Polonia Restituta (2021), and received the Golden Cross of Merit and the KEN Medal. In addition, he has been repeatedly awarded by the Minister of Science and Higher Education.

Selected Publications

Articles

Weronika Gutfeter, Andrzej Pacut, "Proxy Embeddings for Face Identification among Multi-Pose Templates", Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2020, Vol. 5, 2020, 513-520.
Tomasz Lehmann, Andrzej Pacut, Piotr Paziewski, “Face and silhouette based age estimation for child detection system”, Communication Papers of the of the 17th Conference on Computer Science and Intelligence Systems, 32, 2022, 39–43.
Weronika Gutfeter, Andrzej Pacut, “Fusion of Depth and Thermal Imaging for People Detection”, Journal of Telecommunications and Information Technology, 4, 2021, 53–60.
Mohammadreza Azimi, Seyed Ahmad Rasoulinejad, Andrzej Pacut, “Age dependency of the diabetes effects on the iris recognition systems performance evaluation results”, Biomedical Engineering / Biomedizinische Technik, 66(1), 2021, 11–19.
Mohammadreza Azimi, Andrzej Pacut, “The Effects of Social Issues and Human Factors on the Reliability of Biometric Systems: A Review”, Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Systems and Applications. IntelliSys 2020. Advances in Intelligent Systems and Computing, vol. 1251. Springer, Cham, 2020, 103-110.
Mohammadreza Azimi, Andrzej Pacut, “Investigation into the reliability of facial recognition systems under the simultaneous influences of mood variation and makeup”, Computers and Electrical Engineering, 85, 2020, 1–15.