Keynote Speakers

The program of Keynotes of MECO 2018 synergizes the research of major universities of the World, with the stress on the symbiosis of modern computing, Nobel Prize winning research in medicine, and the socially responsible economy (six from Europe, four from the USA, and two from Asia): London (Nobel Laureate Tim Hunt), Harvard  (Moskowitz, SigmaXi Laureate), MIT (Stibe), Carnegie Mellon (Mutlu), Bristol University (Dahnoun), ETH in Zurich (Onur Mutlu), Paris UPMC (Agnis Stibe), Technical University Achen (Rainer Leupers) Vienna Politechnical (Dustdar), Vienna University (Eduard Mehofer),  University of Massachusetts in Amherst (Israel Koren), Okinava (Sir Tim Hunt), plus the Technion (Koren).


Sir Richard Timothy Hunt, FRS FMedSci FRSE
Nobel Prize in Physiology, Medicine, 2001.

“A Crooked Path in Science: Stumbling on the Secret of Cell Division”

   About Sir Richard Timothy Hunt



Israel Koren,  University of Massachusetts, Amherst, MASS, USA, "Detecting and counteracting benign faults and malicious attacks in cyber physical systems"

A fellow of the IEEE. He has been a consultant to companies like IBM, Analog Devices, Intel, AMD and National Semiconductors. His research interests include Fault-Tolerant systems, cyber-physical systems, secure cryptographic devices, Computer architecture and computer arithmetic. He publishes extensively and has over 300 publications in refereed journals and conferences. He is the author of the textbook "Computer Arithmetic Algorithms," 2nd Edition, A.K.  Peters, Ltd., 2002, and a co-author of the textbook "Fault Tolerant Systems," Morgan-Kaufman, 2007.

Howard Moskowitz, Harvard University, Cambridge, MASS, USA "Mind Genimics for Targeted Marketing"

More abot prof Moskowitz at 


Agnis Stibe, MIT, Boston, Massachussets, USA, "Transforming Technology and Sociotech Design""

Prof. Agnis Stibe expands and refines knowledge on Transforming Sociotech Design. At Paris ESLSCA Business School, he empowers people with strategies and innovations on Socially Influencing Systems, transforming digital marketing, and persuasive behavioral economics. At MIT Media Lab, he established research on Persuasive Cities that encourage healthy and sustainable routines. He believes that our world can become a better place thought purposefully designed urban spaces that successfully blend technological advancements with human nature. His research is built upon socio-psychological theories to design long-lasting transformations of our lives. Prof. Stibe is an active member of persuasive technology community, frequently speaking at annual conferences and effectively collaborating with industry. He has worked for a number of Fortune 100 companies such as Hewlett-Packard and Oracle. Prof. Stibe has twice been recognized by the Minister of Education and Science of Latvia for his long-term creative work. He has received awards from the MIT Media Lab, Nokia Foundation, Dr. Theo and Friedl Schoeller Research Center for Business and Society, and the Latvian Fund for Education. Prof. Stibe holds a master’s degree in computer science from the University of Latvia, an MBA from the RTU Riga Business School, a PhD from the University of Oulu, and a postdoctoral training from the MIT Media Lab.


 Naim Dahnoun, University of Bristol UK "Tackling Multicore DSP Programming"
Today’s many applications, such as medical, high-end imaging, high-performance computing and core networking, are facing increasing challenges in terms of data traffic, processing power and device to device communication. These are putting a high demand on the processor(s) and associated software and lead to processor manufacturers sustaining Moore’s law by introducing multicore processors. Multicore is re-emerging as the way forward if low power consumption and high processing performance are required for an application. However, many traditional (single core) programmers are lacking the knowledge and expertise to take advantage of this new technology. This talk will address issues the industry and academia need to consider for embracing this technology. Since the introduction of the first DSP processors, the vast majority of software applications have been implemented on a single core. Today, most DSP teaching laboratories are still based on single core, as educators are reluctant to change to new technologies because of lack expertise, the amount of work required and/or the justification for curriculum changes. In this talk, “Tackling Multicore Programming”, the speaker will review, compare and contrast different type of processors available (FPGAs, Graphic Processors, Multicore Digital Signal Processors and Microcontrollers) and highlights various programing paradigms and applications.

Naim Dahnoun received the Ph.D. degree in biomedical engineering from University of Leicester, Leicester, U.K., in 1990. He was with the Leicester Royal Infirmary as a Researcher on blood flow measurements for femoral bypass grafts and then with University of Leicester as a Lecturer in digital signal processing (DSP). In 1993, he started new research in optical communication at the University of Manchester Institute of Science and Technology, Manchester, U.K., on wideband optical communication links before joining the Department of Electrical and Electronic Engineering, University of Bristol, Bristol, U.K., in 1994, where he is a Reader in Learning and Teaching of DSP. His main research interests include real-time digital signal processing applied to biomedical engineering, video surveillance, automotive, and optics. In 2003, in recognition of the important role played by universities in educating engineers in new technologies such as real-time DSP, Texas Instruments (NYSE:TXN) presented the first Texas Instruments DSP Educator Award to Dr. Dahnoun for his outstanding contributions to furthering education in DSP technology.

Onur Mutlu, Carnegie Mellon University, ETH, Zürich, Switzerland 

Talk abstract:
Today's systems are overwhelmingly designed to move data to
computation. This design choice goes directly against at least three
key trends in systems that cause performance, scalability and energy
bottlenecks: 1) data access from memory is already a key bottleneck as
applications become more data-intensive and memory bandwidth and
energy do not scale well, 2) energy consumption is a key constraint in
especially mobile and server systems, 3) data movement is very
expensive in terms of bandwidth, energy and latency, much more so than
computation. These trends are especially severely-felt in the
data-intensive server and energy-constrained mobile systems of today.

At the same time, conventional memory technology is facing many
scaling challenges in terms of reliability, energy, and
performance. As a result, memory system architects are open to
organizing memory in different ways and making it more intelligent, at
the expense of slightly higher cost. The emergence of 3D-stacked
memory plus logic as well as the adoption of error correcting codes
inside the latest DRAM chips are an evidence of this trend.

In this talk, I will discuss some recent research that aims to
practically enable computation close to data. After motivating trends
in applications as well as technology, we will discuss at least two
promising directions: 1) performing massively-parallel bulk operations
in memory by exploiting the analog operational properties of DRAM,
with low-cost changes, 2) exploiting the logic layer in 3D-stacked
memory technology in various ways to accelerate important
data-intensive applications. In both approaches, we will discuss
relevant cross-layer research, design, and adoption challenges in
devices, architecture, systems, and programming models. Our focus will
be the development of in-memory processing designs that can be adopted
in real computing platforms at low cost.

Schahram Dustdar, TU Wien, Austria

"Cyber-Human Partnerships – Engineering the fabric of IoT, People, and Systems" 

Abstract: In this talk I will explore the integration of people, software services, and things with their data, into one novel resilient ecosystem, which can be modeled, programmed, and deployed on a large scale in an elastic way. This novel paradigm has major consequences on how we view, build, design, and deploy ultra-large scale distributed systems and establishes a novel foundation for an “architecure of value”
driven Smart City.

Bio: Schahram Dustdar is Full Professor of Computer Science and head of the Distributed Systems Group at the TU Wien, Austria. From 2004-2010 he was also Honorary Professor of Information Systems at the Department of Computing Science at the University of Groningen (RuG), The Netherlands.
From Dec 2016 until Jan 2017 he was a Visiting Professor at the University of Sevilla, Spain and from January until June 2017 he was a Visiting Professor at UC Berkeley, USA. He is co-Editor-in-Chief of the new ACM Transactions on the Internet of Things as well as Editor-in-Chief of Computing (Springer). He is Associate Editor for multiple IEEE and ACM journals. Dustdar is recipient of the ACM Distinguished Scientist award (2009), the IBM Faculty Award (2012), an elected member of the Academia Europaea: The Academy of Europe, where he is chairman of the Informatics Section, as well as an IEEE Fellow (2016).

Eduard Mehofer, University of Vienna, Austria

"Multi-objective optimization: runtime efficiency vs. energy efficiency"


The importance of heterogeneous hardware environments with different types of compute devices has grown steadily over the last years in the field of high performance computing. Runtime efficient distribution of work onto heterogeneous devices is much more challenging than for homogeneous ones. In addition, heterogeneity raises another important issue - energy efficiency.
This results in two-dimensional optimization problems whereby often runtime efficiency and energy efficiency are conflicting objectives pushing in different directions. In this talk we discuss in detail approaches taking both execution time and energy consumption into account. We pose the question of optimal work distribution solutions with respect to execution time and energy consumption and present a framework which supports different mappings of work onto heterogeneous devices.

Eduard Mehofer is a Professor of Computer Science at the University of Vienna.
His research focuses on parallel and distributing computing, programming languages, parallelization techniques, optimization strategies, and software infrastructure for high performance computing. After an employment at Alcatel Research working in the field of real-time expert system languages, he joined the University of Vienna and is part of the scientific computing research group. Currently, his main research activities focus on frameworks which support users in developing compute- or data-intensive applications on heterogeneous hardware environments. He was visiting professor at the University of Arizona, Tucson, and the Indian Institute of Science, Bangalore.
Professor Mehofer received his Ph.D. from the Vienna University of Technology.


Zoran Krivokapic
Member of the Serbian Academy of Arts and Sciences

"Advances in High-Tech Medical Diagnostics: The Rectal Cancer Case"


Rainer Leupers       &            Koen De Bosschere 

Univeristy of Aachen, Germany & Ghent University, Belgium 

HiPEAC special session

Rainer Leupers received the M.Sc. (Dipl.-Inform.) and Ph.D. (Dr. rer. nat.) degrees in Computer Science with honors from TU Dortmund in 1992 and 1997. From 1997-2001 he was the chief engineer at the Embedded Systems chair at TU Dortmund. In 2002, he joined RWTH Aachen University as a professor for Software for Systems on Silicon. His research comprises software development tools, processor architectures, and system-level electronic design automation, with focus on application-specific multicore systems. He published numerous books and technical papers and served in committees of the leading international EDA conferences. He received various scientific awards, including Best Paper Awards at DAC and twice at DATE, as well as several industrial awards. Dr. Leupers is also engaged as an entrepreneur and in turning novel technologies into innovations. He holds several patents on system-on-chip design technologies and has been a co-founder of LISATek (now with Synopsys), Silexica, and Secure Elements. He has served as consultant for various companies, as an expert for the European Commission, and in the management boards of large-scale projects like HiPEAC and UMIC. He is the coordinator of EU projects TETRACOM and TETRAMAX on academia/industry technology transfer.

Prof. Veljko Milutinovic

Life Member of the ACM
Fellow Member of the IEEE
Member of Academia Europaea
Member of the Serbian Academy of Engineering Member of the Advisory Board of the Vienna Congress COMSULT Member of the Scientific Advisory Board of Maxeler Technologies

"DataFlow SuperComputing for BigData"

Summary: This presentation analyses the essence of DataFlow SuperComputing, defines its advantages and sheds light on the related programming model. TheUltimateDataFlow concept, compared to ControlFlow computers, offer speedups of 20 to 200 (even 2000 for some applications), power reductions of about 20, and size reductions of about 20 to about 200. However, the programming paradigm is different, and has to be mastered.

The talk explains the paradigm, using Maxeler as an example, and sheds light on the ongoing research in the field. Examples include: Genomics and Brain Research, Trading and Finances, CreditDerivatives and numerous related BankingApplications, SignalProcessing, GeoPhysics and GeoSciencies, WeatherForecast and Oil+Gas, DataEngineering and DataMining, SmartGrid and System Simulations, etc. Also, a recent study from Tsinghua University in China is presented, which reveals that, for Shallow Water Weather Forecast (a BigData problem), on the 1U level, the Maxeler DataFlow machine is 14 times faster than the Tianhe machine, at the time of the study, rated #1 on the Top 500 list (based on Linpack, which is a smalldata benchmark). Participants are given hands-on opportunities via remote login ( In December 2016, Hitachi of Japan announced its partnership with Maxeler (see: Since 2017, Maxeler is also available via Amazon AWS.

About the Speaker: Prof. Veljko Milutinovic (1951) received his PhD from the University of Belgrade, spent about a decade on various faculty positions in the USA (mostly at Purdue University), and was a co-designer of the DARPAs first GaAs RISC microprocessor. Later, for almost 3 decades, he taught and conducted research at the University of Belgrade, in EE, BA, MATH, and PHYS/CHEM. Now he serves as the Chairman of the Board for the Maxeler operation in Belgrade, Serbia. His research is mostly in datamining algorithms and dataflow computing, with the emphasis on mapping of data analytics algorithms onto fast energy efficient architectures. For 7 of his books, forewords were written by 7 different Nobel Laureates with whom he cooperated on his past industry sponsored projects. He has over

40 IEEE journal papers, over 40 papers in other SCI journals (4 in ACM journals), over 400 Thomson-Reuters citations, and about 4000 Google Scholar citations. Short courses on the subject he delivered so far in a number of universities worldwide: MIT, Harvard, Boston, NEU, Columbia, NYU, Princeton, Temple, Purdue, IU, UIUC, Michigan, EPFL, ETH, Karlsruhe, Heidelberg, University of Vienna, Vienna Politechnical University, Napoli, Salerno, Siena, Pisa, etc. Also at the World Bank in Washington DC, BNL, IBM TJ Watson, Yahoo NY, ABB Zurich, Oracle Zurich, etc.

Accompanying Textbooks and Journal Papers:

Milutinovic, V., et al,
Guide to DataFlow SuperComputing,
Springer, 2015 (one textbook) and 2017 (two textbooks).

Hurson, A., Milutinovic, V., editors,
Advances in Computers: DataFlow,
Elsevier, 2015 (one SCI textbook) and 2017 (two SCI textbooks).

Trifunovic, N., Milutinovic, V. et al,
"The for BigData SuperComputing,"
Journal of Big Data, Springer, 2016.

Trifunovic, N., Milutinovic, V. et al,
"Paradigm Shift in SuperComputing: DataFlow vs ControlFlow,"
Journal of Big Data, 2015.

Milutinovic, V.,
"The HoneyComb Architecture,"
Proceedings of the IEEE, 1989.

Ekmecic, D., Tartalja, I., Milutinovic, V., "Hybrid Computing: Split Temporal and Spatial Data,"
Proceedings of the IEEE, 1996.

Jovanovic, Z., Milutinovic, V.,
"FPGA Accelerator for Floating-Point Matrix Multiplication,"
The IET (IEE) Computers and Digital Techniques Premium Award for 2014, Volume 6, Issue 4, 2012 (pp. 249-256).

Milutinovic, V.,
"Suboptimal Detection of Data Signals"
The IEE (IET) Proceerings, 1986.

Flynn, M., Mencer, O., Milutinovic, V., at al, Moving from PetaFlops to PetaData, Communications of the ACM, May 2013.

Trobec, R. Vasiljevic, R., Tomasevic, M., Milutinovic, V., et al, "Interconnection Networks for PetaComputing,"
ACM Computing Surveys, November 2016.