Dr. Ir. Robert Setekera
Dr. Ir. Robert SetekeraMember of Uganda IoT&AI challenge 2021 steering committee. Dean Faculty of science &Information Technology Ndejje University.

Dr. Ir. Robert Setekera is the Dean of the Faculty of Science and Information Technology at Ndejje University, Kampala, Uganda. He is fully responsible for the growth and development of the faculty, and to ensure quality learning of the students, both physical and online.

He is a Senior lecturer of Industrial and Applied Mathematics. Dr Setekera holds a PhD in Applied Mathematics (with application to Semiconductor Device Modelling and Simulations) from Technical University Delft, Delft, the Netherlands; a Professional Doctorate in Engineering (with application to Mathematics for Industry) from Technical University Eindhoven, Eindhoven, the Netherlands; an MSc in Industrial Mathematics, from Technical University Kaiserslautern, Kaiserslautern, Germany; an MSc in Industrial and Applied Mathematics (with specialization in Computational Science and Engineering) from Technical University Eindhoven, the Netherlands; a BSc (Mathematics and Physics) from Makerere University Kampala Uganda.

After his PhD studies in the Netherlands, he worked with ASML Semiconductor Company as a leading research scientist. Here, in addition to leading teams of research- ers, he was also involved in developing algorithms to optimize the throughput of semiconductor scanners (machines used to make electronic chips). Such scanners are in leading companies such as Samsung, Intel, Toshiba, TSMC, etc. Dr Setekera has also worked on projects from various companies in Europe such as: Phillips, DAF Trucks, DSM, Deltares, OCe, Canon, and NXP among others. He also lectured and supervised students both in Uganda and the Netherlands in the areas of Applied Mathematics and Mathematical Physics.

His research work has been published in a two books and a number of journal and conference papers. His research interested include: Industrial and Applied Mathematics, Semiconductor Device Modelling and Simulation, Metrology, Applied Statistics, Mathematical Education, and STEM teaching.