Looking for motivated students (undergrads and grads) interested in working on embedded software and systems research. Mail Sebastian Fischmeister for further information.
Aymen Ketata
Aymen is a MSc student at the University of Waterloo under the supervision of Mr.Sebastian Fischmeister. Aymen has an engineering degree from Grenoble Institute of Technology (Grenoble INP), France. He worked on developing Android applications during his internship at Aubay, Paris. He is interested in real time software design and development.
Yuguang Zhang
Yuguang Zhang holds an undergraduate degree in Computer Science from the University of Waterloo and is currently taking a Masters in Computer Science at the University of Waterloo. During co-op terms as an undergraduate, he has worked as a web developer. Currently, he is working on Datamill as his research project, with interests in benchmarking and performance evaluation.
Guy Martin Tchamgoue
Guy Martin Tchamgoue received his Bachelor of Science, Master of Science and Master of Advanced Studies in Computer Science from the University of Yaoundé I in Cameroon in 2004, 2005 and 2006, respectively. In August 2013 he obtained his Ph.D.
Moussa Traore
Moussa Traore is a Postdoctoral Researcher at the University of Waterloo (ON), Canada. He is working under the supervision of Prof. Sebastian Fischmeister within the Real-Time Embedded Software Group at the Department of Electrical and Computer Engineering of the University of Waterloo.
Daniel Peon
Daniel received his BSc. in Engineering from the University of Applied Sciences Upper Austria in Wels after completion of the Automation Engineering programme in 2010. His thesis topic was on quality control for motor production at Rotax (Bombardier). Immediately after graduating, he started his Masters at the same university.
Prajna Kandarpa
Prajna is a Research Assistant in the Realtime Embedded Systems Lab at UW. His research interests include time series anomaly detection methods (unsupervised and supervised), device prognostics and time series regression on data collected from the Internet Of Things (IOT), automotive computers and other electronic machinery.