Scientific Advisory Board
The Scientific Advisory Board (SAB) is established by the Steering Committee (SC) of CHIST-ERA and consists of high-level experts from leading public research institutes, industry as well as other relevant stakeholders; in order to critically accompany the programme, suggest further activities, gauge the impact of the actions of the Consortium, or ensure complementarity with the activities of the other European research management institutions; especially the SAB play an important role in the topic selection process and in the CHIST-ERA yearly event.
Claudia Eckert
Prof. Dr. Claudia Eckert is the Director of the Fraunhofer Institute SIT in Munich and Co-Director of the Center for Advanced Security Research in Darmstadt (CASED). She is also a professor at the Technische Universität München and heads the research group IT Security of the Computer Science department. As a member of various national and international industrial advisory boards and scientific panels she advises private enterprises, trade associations and public authorities in all matters concerning IT security. The expertise she provides in a number of scientific committees helps to form the technical and scientific research programmes within Germany as well as in defining scientific programmes funded by the EU or NATO.
Expertise
- Leveraging Virtualization Techniques for System Security
- Malware Detection with Machine Learning Methods
- Natural Language Analysis for Security Applications
Ezio Biglieri
Ezio Biglieri was born in Aosta (Italy). He received his formal training in Electrical Engineering at Politecnico di Torino (Italy), where he received his Dr. Engr. degree in 1967. He is presently an Adjunct Professor of Electrical Engineering at University of California Los Angeles (UCLA). Previously he was a Professor at the University of Napoli (Italy), at Politecnico di Torino, at Universitat Pompeu Fabra, Barcelona, Spain, and at UCLA. He has held visiting positions with the Department of System Science, UCLA, the Mathematical Research Center, Bell Laboratories, Murray Hill, NJ, the Bell Laboratories, Holmdel, NJ, the Department of Electrical Engineering, UCLA, the Telecommunication Department of The Ecole Nationale Supérieure des Télécommunications, Paris, France, the University of Sydney, Australia, the Yokohama National University, Japan, the Electrical Engineering Department of Princeton University, the University of South Australia, Adelaide, the University of Melbourne, the Institute for Communications Engineering, Munich Institute of Technology, Germany, and the Institute for Infocomm Research, National University of Singapore.
He was elected three times to the Board of Governors of the IEEE Information Theory Society, and he served as its President in 1999. He is the Editor-in-Chief of the IEEE Transactions on Information Theory and of the Journal of Communications and Netowrks.
Among other honors, in 2000 he received the IEEE Third-Millennium Medal and the IEEE Donald G. Fink Prize Paper Award, in 2001 the IEEE Communications Society Edwin Howard Armstrong Achievement Award and a Best Paper Award from WPMC'01, Aalborg, Denmark, and in 2004 the Journal of Communications and Networks Best Paper Award.
Expertise
- Information theory
- Wireless communications
- Networking
Gianluca Bontempi
Gianluca Bontempi graduated with honors in Electronic Engineering (Politecnico of Milan, Italy) and obtained his PhD in Applied Sciences (ULB, Brussels, Belgium). He took part to research projects in academy and private companies all over Europe. His interests cover data mining, machine learning, bioinformatics, time series prediction and simulation. He is author of more than 100 scientific publications. He is also co-author of software for data mining, bioinformatics and prediction which was awarded in two international competitions. From January 2002 he is Professor in Computer Science in ULB Brussels and from 2004 he is the Head of the ULB Machine Learning Group (mlg.ulb.ac.be).
Expertise
- Machine learning
- Bioinformatics
- Qualitative modeling and simulation
- Fuzzy inference systems
- Local learning methods (lazy learning) for identification
- Time series prediction and control
- Sensor networks and autonomos robotics
Louis Laurent

Louis Laurent is working at the French Agency for Food, Environmental and Occupational Health and Safety (ANSES).
After his PHD thesis in 1983, Louis Laurent joins the French Atomic Energy Commission (CEA) to work in the field of controlled thermonuclear fusion. During 12 years he is involved in various fields such as plasma theory, tokamak experiments, instrumentation. In 1995, he joins the Department of Research on Condensed State, Atoms and Molecules located in Saclay and is appointed the head of this department in 2000. The main activities of these laboratories are fundamental research in the field of condensed matter physics including nanoscience and also co developments with industry. At this time, he is also the co-chairman of the committee in charge of the NSIT forward look of the European Science Foundation (nanoscience and information technology). In 2005, Louis Laurent joins the French National Research Agency and is appointed head of the department of information science (nanotechnology, computer science). Between 2009 and 2011, he participates to the project “campus Paris- Saclay “ , before joining ANSES at the end of 2011. Since 2002, Louis Laurent devotes himself to an activity of thinking about the impact of nanosciences, converging technologies or IST on society and more generally the relations between science and society. He wrote three books and took part to various TV and radio programmes on this topic.
Expertise
- Science management
- Information technology
- Links between science, society and risks
Martin McGinnity

Prof. Martin Mc Ginnity has been a member of the University of Ulster academic staff since 1992. He is Director of the Intelligent Systems Research Centre within the Faculty of Computing and Engineering in the University of Ulster. He holds a first class honours degree in physics from Ulster, and a doctorate from the University of Durham. He is a Fellow of the IET, senior member of the IEEE, and a Chartered Engineer. He has 28 years experience in teaching and research in electronic and computer engineering, was formerly Head of School of Computing and Intelligent Systems, and Acting Associate Dean of the Faculty of Engineering. He is a Director of the University's technology transfer company, UUTech, and the University spin out company Flex Language Services. The author or co-author of approximately 200 research papers, Prof. McGinnity has been awarded both a Senior Distinguished Research Fellowship and a Distinguished Learning Support Fellowship by the University in recognition of his contribution to teaching and research. The research of Prof. Martin McGinnity is concerned with computational intelligence. Briefly, computational intelligence is concerned with the creation of computational systems which mimic, to some extent, important characteristics of biological entities. These characteristics would include the ability to learn reason, adapt, react appropriately to unanticipated and unprogrammed situations, self-organize, self-manage, and self-repair. This work is multidisciplinary, drawing inspiration from biology and neuroscience. Significant elements of this research is dedicated to exploring biological signal processing for example how biology processes visual or auditory information, and how to emulate such processing in artificial systems. Research into biological sensory fusion is also a strong interest.
Expertise
- Bio-inspired systems, modelling and emulation of bio-inspired sensory systems, neural networks, fuzzy/fuzzy-neural systems, intelligent embedded systems, re-configurable computing using FPGAs, genetic algorithms, brain computer interfacing, wireless intelligent embedded sensory systems, evolvable hardware
- Techniques for dynamic hardware-software partitioning for embedded systems
- Self-repair of embedded systems
- Self-repairing software systems, intelligent diagnosis for microprocessor systems
- Hybrid intelligent techniques with application in machine vision systems, cognitive robotics and computational neuroscience
Michèle Sebag
With a background in maths (Ecole Normale Supérieure, Agrégation of Mathematics), Dr. Michèle Sebag went to industry (Thomson-CSF, now Thales) where she started to learn about computer science, project management, and Artificial Intelligence (AI). Michèle Sebag got really interested in AI, became Consulting Engineer, and realized that Machine Learning was something to be. She was offered the opportunity to start research on Machine Learning for applications in Numerical Engineering, specifically Mechanics of Solids, at Laboratoire de Mécanique des Solides at Ecole Polytechnique. Dr. Sebag passed her PhD in between Machine Learning (LRI, Université Paris-Sud Orsay), Data Analysis (Ceremade, Université Paris-10 Dauphine) and Mechanics (LMS, Ecole Polytechnique), and she entered CNRS (CR1, 1991). In 2001, Michèle Sebag went to LRI, Université Paris-Sud as head of the Inference and Apprentissage research group, founded by Yves Kodratoff. In 2003, she founded together with Marc Schoenauer the research group TAO, Apprentissage and Optimization at INRIA.
Expertise
- Machine Learning for Cognitive Systems
- Evolutionary Computation for Complex Systems
Sergio Verdú
Prof. Sergio Verdú is the Eugene Higgins Professor of Electrical Engineering at Princeton University where he teaches and conducts research on information theory in the Information Sciences and Systems Group. He is also affiliated with the Program in Applied and Computational Mathematics. A native of Barcelona, Spain, Sergio Verdú received the Telecommunications Engineering degree from the Universitat Politecnica de Barcelona, Barcelona, Spain, in 1980 and the Ph.D. degree in Electrical Engineering from the University of Illinois at Urbana-Champaign in 1984. Conducted at the Coordinated Science Laboratory of the University of Illinois, his doctoral research pioneered the field of Multiuser Detection. Sergio Verdú was elected Fellow of the IEEE in 1992 and member of the U. S. National Academy of Engineering in 2007. He received the 2000 Frederick E. Terman Award from the American Society for Engineering Education, and the IEEE Third Millennium Medal in 2000. In 2005, he received a Doctorate Honoris Causa from the Universitat Politecnica de Catalunya He is the recipient of the 2007 Claude E. Shannon Award, and the 2008 IEEE Richard W. Hamming Medal. In 1998, Cambridge University Press published his book ``Multiuser Detection.'' His papers have received several awards: the 1992 IEEE Donald Fink Paper Award, the 1998 Information Theory Outstanding Paper Award, a IEEE Information Theory Golden Jubilee Paper Award, the 2000 Paper Award from the Japan Telecommunications Advancement Foundation, the 2002 Leonard G. Abraham Prize Award in the field of Communications Systems and the 2007 IEEE Joint Communications/Information Theory Paper Award. Sergio Verdú served as Associate Editor for Shannon Theory of the IEEE Transactions on Information Theory. He served as President of the IEEE Information Theory Society in 1997. He is currently Editor-in-Chief of Foundations and Trends in Communications and Information Theory. He has held visiting appointments at the Australian National University, the Technion-Israel Institute of Technology, and the University of Tokyo. In 1998 he was Visiting Professor at the Electrical Engineering and Computer Science Department of the University of California, Berkeley, and in 2002 he held the Hewlett-Packard Visiting Research Professorship at the Mathematical Sciences Research Institute, Berkeley.
Expertise
- Information theory
- Data compression
- Transmission
Tommaso Calarco

Prof. Dr. Tommaso Calarco acts as Chairman of the Scientific Advisory Board of CHIST-ERA.
He is Full Professor of Quantum Information Processing at the University of Ulm in Germany since 2009. Prof. Tommaso Calarco graduated from University of Padua and got his PhD at University of Ferrara. His scientific career includes postdoc position at the University of Innsbruck, Marie-Curie Felllow of the EU at Harvard University and Fulbright Fellow at the Joint Quantum Institute in Maryland. He also worked at ECT* in Trento and BEC-INFM, Trento. He is currently director of the Institute for Quantum Information Processing at the University of Ulm. He is author of several visible publications on implementing quantum information with atoms, ions and molecules, where he proposes and analyzes various schemes for entangling atoms in a controlled way, e.g. in the context of cold collisions between neutral atoms and Rydberg atoms. His recent works are closely related to understanding limits of our control on the matter and getting to this limit experimentally. His work is closely coupled to experimental developments, and his understanding of experiments and collaboration with experimental groups always has been an important feature of his work. In addition he acts now as a coordinator the European roadmap for quantum information processing.
Expertise
- Foundations of quantum science
- Complex quantum systems: from quantum networks to quantum simulators
- Light-matter interface
- Tailored quantum states of matter
Volkan Özgüz

Dr. Volkan Ozguz is the director of the Nanotechnology Research and Application Center at Sabanci University since January 2010.
Prior to that, Dr. Ozguz was the Chief Technology Officer at Irvine Sensors Corporation. He received his Ph.D. degree in Electrical Engineering from North Carolina State University, Raleigh, North Carolina, in 1986. He was Fulbright and NATO Fellow during graduate studies. From 1986 to 1987, he was a visiting assistant professor at North Carolina State University and scientist at Microelectronic Center of North Carolina. From 1987 to 1989, he was the manager of the Advanced Processes Dept. at TELETAS-Alcatel. From 1989 to 1995, he was a research faculty at the University of California at San Diego. He joined Irvine Sensors Corporation in 1995. Dr. Ozguz has been working in the semiconductor processing, packaging and microelectronics manufacturing fields since 1979. He has extensive R&D and project management experience in the design and implementation of microelectronic, nanoeelectronic and optoelectronic systems including fabrication technologies, process design and integration, facility operations and technology transfer. He led pioneering development efforts in chip-to-chip optical interconnects and 3D packaging and integration for heterogeneous systems. Dr. Ozguz authored over 30 journal articles, over 40 conference publications, 3 book chapters and 11 patents and numerous patent applications. He taught semiconductor and manufacturing technologies related courses both at undergraduate and graduate level at local universities including UCSD and USC. He has been guest lecturing at professional meetings. He is member of IEEE Electron Devices, Communications and Components-Packaging-Manufacturing Technologies Societies. He is a reviewer for IEEE, OSA, MRS publications and serves as session chair or program committee member in professional meetings.
Expertise
- Semiconductor processing, packaging
- Microelectronics manufacturing




