Advisory Board and Editors Real-Time & Embedded Systems

Mario Luca Bernardi

Mario Luca Bernardi received the Laurea degree in Computer Science Engineering from the University of Naples Federico II, Italy, in 2003 and the Ph.D. degree in Information Engineering from the University of Sannio in 2007.

Since 2003 I have worked as a researcher in the field of software engineering writing several papers published in journals and conference proceedings. My main research interests include software maintenance and testing, software reuse, software reverse engineering and reengineering, with particular interest on software modularization.
I also served both as a member of the program and organizing committees of several international conferences, and as reviewer of papers submitted to some of the main journals and magazines in the field of data mining, software engineering, software maintenance and program comprehension.

Currently I am an Assistant Professor at Giustino Fortunato University , holding the courses of "Computer Science" and "Software Systems and Services" for the Avionics Science and Technologies master degree.

David De Roure

David De Roure is Professor of e-Research at University of Oxford and Director of the Oxford e-Research Centre. He is a Strategic Advisor to the Economic and Social Research Council in the area of Social Media Data. Working on the intersection of humanities, social science, and computer science, David conducts research on social machines, computational musicology, large scale sociotechnical systems, cyber security and social computing.

Gillian Dobbie

Gill worked in industry for a couple of years before doing research at the University of Melbourne, Victoria University of Wellington and the National University of Singapore. Her main areas of interest pertain to databases and the web. She has worked in the foundations of database systems, defining logical models for various kinds of database systems, and reasoning about the correctness of algorithms in that setting. She publishes her research in high ranking conferences and journals.

Alex James

Dr. James works on brain-inspired circuits, algorithms, and systems, and has a Ph.D. (2 years) from Griffith School of Engineering, Griffith University. He is currently the Chair of Electrical Engineering Department and leads the Bioinspired Microelectronics Systems Lab, and chair of the faculty senate at Nazarbayev University. He is actively engaged in research commercialization and startups. He has experience of managing industry projects in board design and pattern recognition circuits, data and business analytics consulting for IT and semiconductor industry. He has been an IEEE Section Chapter Chair of Circuits and Systems Society and Exec. Member of IET Vision and Imaging Network. He has authored more than 80 peer-reviewed articles and is a reviewer for 20+ international prestigious journals and conferences such as IEEE ISCAS, IEEE ICECS, TCAS, TVLSI, TCAD, TCyb, TEC, TIP, etc. He was an editorial member of Information Fusion, Elsevier; is an Associate Editor of HCIS, Springer. His research is focused on brain-inspired circuits and systems. He is an IEEE Senior Member.

Mohammad Reza Mousavi

Mohammad Mousavi is a professor of Computer Systems Engineering at Halmstad University. He received his Ph.D. in Computer Science in 2005 from TU Eindhoven. Since then, he has been postdoctoral researcher at Reykjavik University, and assistant and associate professor at TU Eindhoven, He specializes in model-based testing and verification. He is the co-author of some 100 chapters and scientific papers and a book on "Modeling and Analysis of Communicating Systems".

Mukesh Singhal

Mukesh Singhal is a Chancellor's Professor and Chairman of the Electrical Engineering and Computer Science at the University of California, Merced. He received a Ph.D. degree in Computer Science from the University of Maryland, College Park, in May 1986. His current research interests include distributed and Cloud computing, mobile computing, cyber-security, Internet of Things, and computer networks. He has published over 240 refereed articles in these areas. He is a Fellow of IEEE (since 2001).

Chakchai So-In

Prof. at the Dept of Computer Science at KKU (IEEE/ACM SMs). Interests include mobile computing/sensor networks, architectures for future wireless networks and future Internet; high speed networks; network and transport mobility, multihoming, and privacy. As a committee member and reviewer for prestigious conferences and journals such as ICNP, WCNC, ICC, ICNC, ICCCN & PIMRC; IEEE Trans. on WC, VT, MC; IEEE Commun. Mag./Letter, IEEE Systems J, IJDSN, WN, WCMC, CC, CN, MS, TS, and JWCN.

Xiaodong Wang

Xiaodong Wang is a Research Assistant at University of Tennessee, Knoxville. His research focuses on computer networks and real-time systems

Robert Wille

Robert Wille received the Diploma and Dr.-Ing. degrees in computer science from the University of Bremen in 2006 and 2009, respectively. Since 2006, he is with the Group of Computer Architecture at the University of Bremen and, since 2013, with the German Research Center for Artificial Intelligence (DFKI). Additionally, he worked as Lecturer at the University of Applied Science in Bremen and as visiting professor at the University of Potsdam as well as the Technical University Dresden, Germany.

Pierre Wolper

Pierre Wolper obtained an electrical engineering degree from thebv University of Liege in 1978. In 1982, he obtained a Ph.D. in computer science from Stanford University. From 1982 to 1986, he was a member of of the technical staff of Bell Laboratories (Murray Hill, NJ). In 1986 he was appointed to the faculty of the University of Liege and promoted to full professor in 1989. From 2001 to 2009 he was the Chair of the EECS department, and from 2009 to 2014 Vice-Rector for research.

Wenbing Zhao

My primary expertise is in the field of dependable distributed system where I have published extensively on Byzantine fault tolerance, intrusion tolerance, replication, and distributed consensus. My secondary expertise, which is also what I find extremely exciting currently, is in the field of smart and connected healthcare with particular interest in human motion recognition, human computer interface, computer vision, machine learning, and fuzzy Inference.