Keynote Speakers

Keynote Speakers

We are pleased to present the ISPDC 2021 keynote speakers:

Daniela Rus

Daniela Rus
Daniela Rus
MIT CSAIL, USA
rus [at] csail mit edu

Bio: Prof. Daniela Rus is the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science; Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL); and Deputy Dean of Research for Schwarzman College of Computing at MIT. Prof. Rus brings deep expertise in robotics, artificial intelligence, data science, and computation. She is a member of the National Academy of Engineering, a member of the American Academy of Arts and Sciences, and fellow of the Association for the Advancement of Artificial Intelligence, the Institute of Electrical and Electronics Engineer, and the Association for Computing Machinery. She is also a recipient of a MacArthur Fellowship, a National Science Foundation Career award, and an Alfred P. Sloan Foundation fellowship. Rus earned her PhD in computer science from Cornell University.

Radu Grosu

Radu Grosu
Radu Grosu
Technical University of Wien, Austria
rus [at] csail mit edu

Bio: Radu Grosu is a full Professor, and the Head of the Institute of Computer Engineering, at the Faculty of Informatics, of the Vienna University of Technology. Radu Grosu is also the Head of the Cyber-Physical-Systems Group within the Institute of Computer- Engineering, and a Research Professor at the Department of Computer Science, of the State University of New York at Stony Brook, USA. The research interests of Radu Grosu include the modeling, the analysis and the control of cyber-physical systems and of biological systems. The applications focus of Radu Grosu includes IoT, smart CPS (e.g. smart mobility, smart production, smart buildings, smart energy, smart farming, smart health-care), cardiac myocyte networks, neural networks, and genetic regulatory networks. Radu Grosu is the recipient of the National Science Foundation Career Award, the State University of New York Research Foundation Promising Inventor Award, and the Association for Computing Machinery Service Award. He is also an elected member of the International Federation for Information Processing, Working Group 2.2. Before receiving his appointment at the Vienna University of Technology, Radu Grosu was an Associate Professor in the Department of Computer Science, of the State University of New York at Stony Brook, where he co-directed the Concurrent-Systems Laboratory and co-founded the Systems-Biology Laboratory. Radu Grosu earned his doctorate (Dr.rer.nat.) in Computer Science from the Faculty of Informatics of the Technical University München, Germany. He was subsequently a Research Associate in the Department of Computer and Information Science, of the University of Pennsylvania, an Assistant, and an Associate Professor in the Department of Computer Science, of the State University of New York at Stony Brook, USA.

Nikos Deligiannis

Nikos Deligiannis
Nikos Deligiannis
Vrije Universiteit Brussel and imec, Belgium
ndeligia [at] etrovub be

Bio: Nikos Deligiannis is an Associate Professor at the Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), and a senior AI scientist with imec, Belgium. He received the Diploma degree in electrical and computer engineering from the University of Patras in 2006 and the Ph.D. degree (Hons.) in engineering sciences from VUB in 2012. From 2013 to 2015, he was a Postdoctoral Researcher with the Department of Electronic and Electrical Engineering, University College London. His current research interests include signal processing, machine learning, and distributed learning theory and algorithms with applications in computer vision, data mining, and natural language processing. Dr. Deligiannis is a member of IEEE and EURASIP and serves as the Vice-Chair of the EURASIP Technical Area Committee on Signal and Data Analytics for Machine Learning. He received various scientific awards, including the Best Paper Award at the 2019 IEEE International Conference on Image Processing, the 2017 EURASIP Best Ph.D. Award, and the 2013 Scientific Prize FWO-IBM Belgium.

Philipp Haller

Philipp Haller
Philipp Haller
KTH Royal Institute of Technology, Sweden
phaller [at] kth se

Bio: Philipp Haller is an Associate Professor of Computer Science at KTH Royal Institute of Technology in Stockholm, Sweden.  He was part of the team that received the 2019 ACM SIGPLAN Programming Languages Software Award for the development of the Scala programming language. He received a Ph.D. from École Polytechnique Fédérale de Lausanne, EPFL, Switzerland and a Diplom-Informatiker degree from Karlsruhe Institute of Technology, Germany. His main research interests are programming language design and implementation, type systems, concurrency, and distributed programming.