Maciej Ławryńczuk

Curriculum vitae

Maciej Ławryńczuk was born in Warsaw, Poland, in 1972. He completed his elementary and secondary education in Warsaw. In 1992 he started his studies at Warsaw University of Technology (WUT), the Faculty of Electronics (currently the Faculty of Electronics and Information Technology). In 1998 he obtained his M.Sc. degree in electronics (with specialisation in automatic control) and he started his Ph.D. studies in Institute of Control and Computation Engineering, at the Faculty of Electronics and Information Technology, WUT. In 2003 he obtained his Ph.D. degree in automatic control from WUT. His Ph.D. thesis “Nonlinear predictive control algorithms with neural models of processes” was supervised by professor Piotr Tatjewski. The Ph.D. thesis was distinguished by his faculty and awarded a scientific prize by the Rector of WUT. In 2013 he obtained his D.Sc. degree in automatic control from WUT. His D.Sc. monograph “Neural networks in computationally efficient predictive control algorithms” was awarded a scientific prize by the Rector of WUT.

He was employed in the Institute of Control and Computation Engineering, at the Faculty of Electronics and Information Technology, WUT: in years 2003-2004 as a teaching assistant, in years 2004-2015 as an assistant professor. Since 2015 has has been employed as an associate professor.

Maciej Ławryńczuk has the following scientific interests:

• advanced process control algorithms, in particular model predictive control algorithms,
• set-point optimisation algorithms,
• artificial intelligence and soft computing techniques, in particular neural networks,
• modelling and simulation.

He authored (or co-authored) 6 books and more than 100 scientific publications: journal articles (e.g. in “Applied Intelligence”, “Chemical Engineering Journal”, “Chemical Engineering Science”, “International Journal of Applied Mathematics and Computer Science”, “Journal of Process Control”, “Neurocomputing”), book chapters (e.g. in “Lecture Notes in Artificial Intelligence”, “Lecture Notes in Computer Science”, “Studies in Computational Intelligence”) and conference papers (e.g. “European Control Conference”, “International Conference on Adaptive and Natural Computing Algorithms”, “International Conference on Artificial Intelligence and Soft Computing”, “International Conference on Methods and Models in Automation and Robotics”, “World Congress of International Federation of Automatic Control”). He reviews manuscripts submitted to a few scientific journals (e.g. “Control Engineering Practice”, “IEEE Transactions on Neural Networks and Learning Systems”, “International Journal of Applied Mathematics and Computer Science”, “Journal of Process Control”) and many conferences. He participated in several research scientific as well as research and development projects.

He supervised more than 30 B.Sc and M.Sc theses. He teaches, among others, the “Process control” course, which gave him twice the title “The best lecturer” awarded by the Student Council at Faculty of Electronics and Information Technology, WUT (the “Golden chalk” competition). He authored “Process control” textbook, he co-authored “Control: laboratory exercises” and “Soft Computing in process control” textbooks.

At the Faculty of Electronics and Information Technology, WUT, a member of the Commission of Education in years 2008-2016, a member of the Commission of Science since 2016. He has been the coordinator for studies in automation and robotics since 2011. He chaired the Dean's Commission for designing the program of undergraduate studies in automation and robotics and he was a member of the Commission for designing the program of graduate studies, also in automation and robotics.

He was given the Rector's of WUT prizes: 6 times for scientific achievements (in 2004, 2008, 2010, 2011, 2012 and 2013), 2 times for didactic achievements (in 2004 and 2008) and one time for organisational achievements (in 2015). In 2014 he received the scientific prize from the 4th Faculty (Technical Sciences) of the Polish Academy of Science.