ACM Transactions on

Autonomous and Adaptive Systems (TAAS)

Latest Articles

Analyzing Latency-Aware Self-Adaptation Using Stochastic Games and Simulations

Self-adaptive systems must decide which adaptations to apply and when. In reactive approaches, adaptations are chosen and executed after some issue in... (more)

User-Centric Adaptation Analysis of Multi-Tenant Services

Multi-tenancy is a key pillar of cloud services. It allows different users to share computing and virtual resources transparently, meanwhile... (more)

Designing Adaptive Applications Deployed on Cloud Environments

Designing an adaptive system to meet its quality constraints in the face of environmental uncertainties can be a challenging task. In a cloud... (more)

Inferring Software Component Interaction Dependencies for Adaptation Support

A self-managing software system should be able to monitor and analyze its runtime behavior and make adaptation decisions accordingly to meet certain... (more)

Just-in-Time Adaptive Algorithm for Optimal Parameter Setting in 802.15.4 WSNs

Recent studies have shown that the IEEE 802.15.4 MAC protocol suffers from severe limitations, in terms of reliability and energy efficiency, when the... (more)

Connectivity Reestablishment in Self-Organizing Sensor Networks with Dumb Nodes

In this work, we propose a scheme, named CoRAD, for the reestablishment of lost connectivity using sensor nodes with adjustable communication range in... (more)

Self-Stabilized Fast Gossiping Algorithms

In this article, we explore the topic of extending aggregate computation in distributed networks with self-stabilizing properties to withstand network dynamics. Existing research suggests that fast gossiping algorithms, based on the properties of order statistics applied to families of exponential random variables, are a viable solution for... (more)

Enhancing Reliability of Workflow Execution Using Task Replication and Spot Instances

Cloud environments offer low-cost computing resources as a subscription-based service. These resources are elastically scalable and dynamically... (more)


New options for ACM authors to manage rights and permissions for their work

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The ACM Transactions on Modeling and Computer Simulation (TOMACS) provides a single archival source for the publication of high-quality research and developmental results referring to all phases of the modeling and simulation life cycle. The subjects of emphasis are discrete event simulation, combined discrete and continuous simulation, as well as Monte Carlo methods.

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Forthcoming Articles
Group Norms for Multi-Agent Organisations

Normative multi-agent systems offer the ability to integrate social and individual factors to provide increased levels of fidelity with respect to modelling social phenomena, such as cooperation, coordination, group decision making, organization, in both human and artificial agent systems. An important open research issue refers to group norms, i.e. norms that govern groups of agents. Depending on the interpretation, group norms may be intended to affect the group as a whole, each member of a group, or some members of the group. Moreover, upholding group norms may require coordination among the members of the group. We have identified three sets of agents affected by group norms, namely, i) the addressees of the norm, ii) those that will act on it, and iii) those that are responsible for ensuring norm compliance. We present a formalism to represent these, connecting it to a minimalist agent organisation model. We use our formalism to develop a reasoning mechanism which enables agents to identify their position with respect to a group norm, so as to further support agent autonomy and coordination when deciding on possible courses of action.

Privacy Policy Negotiation in Social Media

Social Media involve many shared items, such as photos, which may concern more than one user. The challenge is that users' individual privacy preferences for the same item may conflict, so an approach that just merges in some way the users' privacy preferences may provide unsatisfactory results. We propose a negotiation mechanism for users to agree on a compromise for the conflicts found. The second challenge we address in this paper relates to the exponential complexity of such a negotiation mechanism. To address this, we propose heuristics that reduce the complexity of the negotiation mechanism and show how substantial benefits can be derived from the use of these heuristics through extensive experimental evaluation that compares the performance of the negotiation mechanism with and without these heuristics. Moreover, we show that one such heuristic makes the negotiation mechanism produce results fast enough to be used in actual Social Media infrastructures with near-optimal results.

Using Imitation to build Collaborative Agents

The paper presents an approach to learn collaborative strategies among multiple agents via imitation. Imitation based learning involves learning from an expert by observing her demonstrating a task and then replicating it. This mechanism makes it convenient for a knowledge engineer to transfer knowledge to a software agent. This paper applies imitation to learn not only the strategy of an individual agent but also the collaborative strategy of a team of agents to achieve a common goal. The paper presents an imitation based solution that learns a weighted naïve Bayes structure whereas the weights of the model are optimized using Artificial Immune Systems. The learned model is then used by agents to act autonomously. The applicability of the presented approach is assessed in the RoboCup Soccer Simulation 3D environment which is a promising platform to address many complex real-world problems. The performance of the trained agents is benchmarked against other RoboCup Soccer Simulation 3D teams. In addition to performance characteristics, the research also analyses the behavioral traits of the imitating team to assess how closely they are imitating the demonstrating team.

An Auction Mechanism for Cloud Spot Markets

Dynamic forms of resource pricing have recently been introduced by cloud providers that offer Infrastructure as a Service (IaaS) capabilities, in order to maximize profit and balance resource supply and demand. The design of a mechanism that efficiently prices perishable cloud resources in line with a provider's profit maximization goal remains an open research challenge however. In this paper, we propose the Online Extended Consensus Revenue Estimate mechanism to the setting of a recurrent, multi-unit and single price auction for IaaS cloud resources. The mechanism is envy-free, has a high probability of being truthful, and generates a near optimal profit for the provider. We combine the proposed auction design with a scheme for dynamically calculating reserve prices based on data center Power Usage Effectiveness (PUE) and electricity costs. Our simulation-based evaluation of the mechanism demonstrates its effectiveness under a broad variety of market conditions. In particular, we show how it improves on the classical uniform price auction and investigate the value of prior knowledge on the execution time of virtual machines, for maximizing profit.

Managing Server Clusters on Renewable Energy Mix

As climate change has become a global concern and server energy demand continues to soar, many IT companies start to explore server clusters running on various renewable energy sources. Traditional data center designs are often workload-driven, and consequently ignore the interplay between power supply and computing system. Emerging green data centers often yield sub-optimal performance as they only look at a certain specific type of energy source. This paper explores data centers powered by hybrid renewable energy systems. We propose GreenWorks, a framework for HPC data centers running on renewable energy mix. Specifically, GreenWorks features a cross-layer power management scheme tailored to the timing behaviors and capacity constraints of different energy sources. Using realistic workload traces and renewable energy data, we show that GreenWorks could provide a near-optimal workload performance (within 3% difference) on average. It can also reduce the worst-case performance degradation by 43% compared to the state-of-the-art design. More importantly, the performance improvements are based on carbon-neutral operations, and are not at the cost of significant efficiency degradation and reduced battery lifecycle. Our technique becomes more efficient when servers become more energy-proportional and could effectively handle the ever-increasing depth of renewable power penetration in green data centers.

Controlling large-scale self-organized networks with lightweight cost for fast adaptation to changing environments

Self-organization has potential for high scalability, adaptability, flexibility, and robustness, which are vital features for realizing future networks. Convergence of self-organizing control, however, is comparatively slow in some practical applications. It is therefore important to enhance convergence of self-organizing controls. In controlled self-organization, which introduces an external controller into self-organizing systems, the network is controlled to guide systems to a desired state. Although existing controlled self-organization schemes could achieve this feature, convergence speed for reaching an optimal or semi-optimal solution is still a challenging task. We perform potential-based self-organizing routing, and propose an optimal feedback method using a reduced-order model for faster convergence at low cost. Simulation results show that the proposed mechanism improves the convergence speed of potential-field construction (i.e., route construction) by at most 7.9 times with low computation and communication cost.

Modeling Robot Swarms Using Integrals of Birth-Death Processes

Controlling Negative Emergent Behaviour by Graph Analysis at Runtime

Self-organised systems typically consist of distributed autonomous entities. An increasing part of such systems is characterised by openness and heterogeneity of participants; for instance, open Desktop Computing Grids provide a framework for unrestrictedly joining in. However, openness and heterogeneity present severe challenges to the overall system's stability and efficiency since uncooperative and even malicious participants are free to join. A promising solution for this problem is to introduce technical trust as basis; but, in turn, the utilisation of trust opens space for Negative Emergent Behaviour. This article introduces a system-wide observation and control loop that influences the self-organised behaviour in order to provide a performant and robust platform for benevolent participants. Thereby, the observation part is responsible for gathering information and deriving an system description. We introduce a graph-based approach to identify groups of suspicious or malicious agents and demonstrate that this clustering process is highly successful for the considered stereotype agent behaviours. In addition, the controller part guides the system behaviour by issuing norms that make use of incentives and sanctions. We further present a concept for closing the control loop and show experimental results that highlight the potential benefit of establishing such a control loop.


Interaction between agents is one of the key factors in Multi-Agent societies. Using interaction, agents communicate with each other and cooperatively execute complex tasks which are beyond the capability of a single agent. Cooperatively executing tasks may endanger the success of an agent if it attempts to cooperate with peers that are not proficient. Therefore, agents need to have an evaluation mechanism to select peers for cooperation. Trust is one of the measures commonly used to evaluate the effectiveness of agents in cooperative societies. Since all interactions are subject to uncertainty, the risk behavior of agents as a contextual factor needs to be taken into account in decision making. In this research, we propose the concept of adaptive risk and agents strategy along with an algorithm which helps agents to make decisions in an self-adaptive society utilizing recommendation-based trust. Trust-based decision making increases the profit of the system along with lower task failure in comparison with no-trust model which agents do not utilize evaluation mechanisms for choosing their cooperation peers.

Division of labor in a group of robots inspired by ants' foraging behavior

Design patterns from biology for distributed computing

A survey of autonomic communications

High variability design for software agents: Extending Tropos

Agile dynamic provisioning of multi-tier Internet applications

FORMS: Unifying reference model for formal specification of distributed self-adaptive systems

Self-adaptive software: Landscape and research challenges

Agilla: A mobile agent middleware for self-adaptive wireless sensor networks

The MACODO middleware for context-driven dynamic agent organizations

Spatial Coordination of Pervasive Services through Chemical-Inspired Tuple Spaces


Publication Years 2006-2016
Publication Count 230
Citation Count 1163
Available for Download 230
Downloads (6 weeks) 1224
Downloads (12 Months) 11380
Downloads (cumulative) 111067
Average downloads per article 483
Average citations per article 5
First Name Last Name Award
Ozalp Babaoglu ACM Fellows (2002)
Imrich Chlamtac ACM Fellows (1997)
Marios D Dikaiakos ACM Senior Member (2008)
Antonio Fernandez Anta ACM Senior Member (2007)
Michael J Fischer ACM Fellows (1996)
David Garlan ACM Fellows (2013)
ACM Senior Member (2008)
Erol Gelenbe ACM Fellows (2001)
Carlo Ghezzi ACM Fellows (1999)
Rachid Guerraoui ACM Fellows (2012)
Peter Lee ACM Fellows (2004)
Ho-fung Leung ACM Senior Member (2007)
Nancy Lynch ACM-W Athena Lecturer Award (2012)
ACM Fellows (1997)
Manish Parashar ACM Distinguished Member (2014)
ACM Senior Member (2007)
Binoy Ravindran ACM Distinguished Member (2014)
Luis Rodrigues ACM Senior Member (2011)
Rizos Sakellariou ACM Senior Member (2015)
Yu Wang ACM Senior Member (2011)
Ouri Wolfson ACM Fellows (2001)
Michael Wooldridge ACM Fellows (2015)
Tao Xie ACM Distinguished Member (2015)
ACM Senior Member (2011)
Franco Zambonelli ACM Distinguished Member (2012)
ACM Senior Member (2009)
Franco Zambonelli ACM Distinguished Member (2012)
ACM Senior Member (2009)

First Name Last Name Paper Counts
Franco Zambonelli 7
Athanasios Vasilakos 6
Marco Mamei 4
Danny Weyns 4
Jeremy Pitt 3
Marco Dorigo 3
Sandeep Kulkarni 3
Anish Arora 3
Márk Jelasity 3
Ali Ebnenasir 3
Xiaobo Zhou 3
Sébastien Tixeuil 3
Marin Litoiu 3
Yufeng Wang 2
Li Xu 2
Klaus Herrmann 2
Vincenzo Loia 2
Gualtiero Colombo 2
Jacob Beal 2
Wenlian Lu 2
Sam Malek 2
Anastasios Gounaris 2
Tom Holvoet 2
Matteo Mordacchini 2
Andrea Passarella 2
Roger Whitaker 2
Sarunas Girdzijauskas 2
Erol Gelenbe 2
Antonio Coronato 2
Hartmut Schmeck 2
Borzoo Bonakdarpour 2
Christian Bettstetter 2
Jan Sacha 2
Mark Shtern 2
Jeffrey Tsai 2
Shlomi Dolev 2
Fabio Massacci 2
Paolo Romano 2
Juan Rodríguez-Aguilar 2
Simon Dobson 2
Fabrice Saffre 2
Christos Yfoulis 2
Akihiro Nakao 2
Ram Dantu 2
Josep Arcos 2
Carlo Mastroianni 2
Stuart Allen 2
Lifeng Sang 2
Anwitaman Datta 2
Michael Wooldridge 2
Sudip Misra 2
Munindar Singh 2
Gabriella Castelli 2
Karl Aberer 2
Mohamed Bakhouya 2
Maite López-Sánchez 2
Yu Wang 2
Alexander Helleboogh 2
Robrecht Haesevoets, 2
Shouhuai Xu 2
Nancy Lynch 2
Paddy Nixon 2
Ada Diaconescu 2
Nikolaus Correll 1
Luigi Raffo 1
Nikolaj Marchenko 1
Dawei Feng 1
Cécile Germain 1
Krzysztof Rzadca 1
Gunnar Kreitz 1
Sonja Buchegger 1
Neil Harvey 1
Shrideep Pallickara 1
Lucio Marcenaro 1
Alexander Schiendorfer 1
Alexander Artikis 1
Franck Gechter 1
Y Dai 1
Y Xiang 1
Qingjun Xiao 1
Marco Vanneschi 1
Ludmila Cherkasova 1
Abhishek Verma 1
Hamid Mukhtar 1
Julie McCann 1
Bartosz Biskupski 1
Paul Grace 1
James Aspnes 1
Michael Fischer 1
Prakash Kolan 1
Franck Petit 1
Colette Johnen 1
Fabienne Boyer 1
Lehung Vu 1
Richard McClatchey 1
Irfan Habib 1
Vinay Sridhara 1
Chaiporn Jaikaeo 1
Loris Penserini 1
E Jensen 1
Stefan Poslad 1
Brian Dougherty 1
Douglas Schmidt 1
Francesco De Pellegrini 1
Niloy Ganguly 1
Indranil Gupta 1
Matthew Francisco 1
Malik Magdon-Ismail 1
Naveen Sharma 1
Thomas Vogel 1
Liang Zhang 1
Kirstie Bellman 1
Xinyuan Wang 1
Jose Fernandez-Marquez 1
Matteo Casadei 1
Sajal Das 1
Anish Arora 1
Wouter Joosen 1
Jeffrey Johnson 1
Gregor Schiele 1
Christian Becker 1
Antonio Brogi 1
Abdelhamid Bouchachia 1
Roy Campbell 1
Mohammad Dashti 1
Monica Dixit 1
Mario Mense 1
Christian Schindelhauer 1
Sergey Legtchenko 1
Sébastien Monnet 1
Javier Cámara 1
David Garlan 1
Jesús García-Galán 1
Fabrice Fessant 1
Domenico De Guglielmo 1
Stefan Dulman 1
Eric Pauwels 1
Jianye Hao 1
João Paiva 1
Landon Kraemer 1
Alberto Rosi 1
W Chan 1
Yanfei Guo 1
Dídac Busquets 1
Sebastiano Peluso 1
Pasquale Gurzì 1
Ann Nowé 1
Carlo Sau 1
Zhiquan Sui 1
Fathiyeh Faghih 1
Vlad Tanasescu 1
Bernhard Rinner 1
Lukas Esterle 1
Fatemeh Rahimian 1
Wolfgang Reif 1
Julia Schaumeier 1
Corina Stratan 1
Paolo Costa 1
Yi Pan 1
Jiaqing Luo 1
Vassilios Tzerpos 1
Marco Conti 1
Jianye Hao 1
Pedro Avila 1
Guy Bernard 1
Philippe Lalanda 1
Hong Shen 1
Kevin Kwiat 1
Tomoya Enokido 1
LiWu Chang 1
Dana Angluin 1
Reuven Yagel 1
Yanping Zhang 1
Sylvain Sicard 1
Punyaslok Purkayastha 1
Sarah Gallacher 1
Sandip Sen 1
Abhishek Chandra 1
Marco Locatelli 1
David Tacconi 1
Nathan Eagle 1
Nikil Mehta 1
Eduardo Mena 1
Gianni Caro 1
Alberto Montresor 1
Yookyung Jo 1
Jeffrey Baumes 1
Johannes Klinglmayr 1
Mariachiara Puviani 1
Giovanna Serugendo 1
Nathan Gnanasambandam 1
Eric Yuan 1
Yonghong Wang 1
Rolf Würtz 1
Emre Çakar 1
Horst Hellbrück 1
Axel Wegener 1
Mohamed Mansour 1
Sameh Abdelaziz 1
Stéphane Devismes 1
Vincent Villain 1
S Bapat 1
Yun Yang 1
Rizos Sakellariou 1
Teresa Dahlberg 1
Sayan Mitra 1
Hao Jiang 1
Răzvan Popescu 1
Anand Ranganathan 1
Vinny Cahill 1
Nadia Nedjah 1
Edgar Kalkowski 1
Nicholas Jennings 1
Kai Zhang 1
Dongqing Shi 1
Paolo Lollini 1
Paulo Veríssimo 1
Davide Pierattoni 1
Sébastien Roy 1
Ajith Abraham 1
Luís Rodrigues 1
Eunkyung Lee 1
Yifeng Zhou 1
Yunpeng Li 1
Miguel Rebollo 1
Changjun Jiang 1
Themistoklis Charalambous 1
Matthew Malensek 1
Peter Lewis 1
Jan Steghöfer 1
Markos Anastasopoulos 1
Panayotis Cottis 1
Henry Hoffmann 1
Jacopo Panerati 1
Roderich Groß 1
Spyros Denazis 1
Nikita Schmidt 1
Emanuele Vespa 1
Djamel Belaïd 1
Jaafar Gaber 1
Douglas Herbert 1
Thiago Quirino 1
Shuching Chen 1
Emre Ertin 1
Mohamed Gouda 1
Kajari Dastidar 1
Benoit Claudel 1
Saïd Hoceïni 1
Omer Rana 1
Chienchung Shen 1
Peter McBurney 1
Anna Perini 1
Luca Gambardella 1
Frederick Ducatelle 1
Tore Urnes 1
Hristo Koshutanski 1
Zhenwei Yu 1
Thomas Weigert 1
Regina Frei 1
Krishna Venkatasubramanian 1
Tridib Mukherjee 1
Sandeep Gupta 1
Mihai Marin-Perianu 1
Seth Goldstein 1
Ricardo Araújo 1
Stathes Hadjiefthymiades 1
Martin Biely 1
Zhao Zhang 1
Sándor Fekete 1
Christiane Schmidt 1
Mazeiar Salehie 1
Alain Cournier 1
Mikhail Nesterenko 1
Samia Souissi 1
Jinjun Chen 1
Domenico Rosaci 1
Agostino Forestiero 1
Xinghua Shi 1
Stephan Schuhmann 1
Marcus Handte 1
Michael Lemmon 1
Athanasios Staikopoulos 1
Nicola Bicocchi 1
Norman Paton 1
Giuseppe Pozzi 1
Ramachandra Kota 1
Franco Blanchini 1
Daniele Caneva 1
Musrrat Ali 1
Hamoun Ghanbari 1
Stevens Blond 1
Mauro Birattari 1
Wamberto Vasconcelos 1
Jose Fernandez-Marquez 1
Diego Didona 1
Evangelia Kalyvianaki 1
Arjun Chandra 1
Jim Tørresen 1
Channah Naiman 1
Marco Santambrogio 1
Alberto Leva 1
François Charpillet 1
Gabriele Mencagli 1
Maria Salamó 1
Juan Rodríguez-Aguilar 1
Giuseppe De Pietro 1
Shyrkuen Chen 1
Gordon Blair 1
Ibrahim Al-Oqily 1
Ahmed Karmouch 1
Yunghsiang Lu 1
Nianen Chen 1
Kenichi Watanabe 1
Johanne Cohen 1
Anurag Dasgupta 1
Gopidi Rajesh 1
Xiannuan Liang 1
Sara Bouchenak 1
Vilmos Bilicki 1
Sherali Zeadally 1
Abdelhamid MELLOUK 1
Nick Taylor 1
M Williams 1
Bhuvan Urgaonkar 1
Abderrafiâa Koukam 1
Paolo Petta 1
Giuseppe Vizzari 1
Daniele Miorandi 1
Iacopo Carreras 1
Rob Claxton 1
Robert Ward 1
Jean Deneubourg 1
Michael Ingleby 1
Steven Ko 1
Holger Giese 1
Chorping Low 1
Giovanna Di Marzo Serugendo 1
Frédéric Gruau 1
Jason Campbell 1
Padmanabhan Pillai 1
Moez Mnif 1
Urban Richter 1
Keita Fujii 1
Luís Lamb 1
Songqing Chen 1
Ulrik Schultz 1
Pihui Wei 1
Taekyoung Kwon 1
Chenyang Lu 1
Seth Gilbert 1
Guido Salvaneschi 1
Matteo Pradella 1
Verena Matjuntke 1
Peng Liu 1
Nicholas Gibbins 1
Carlo Combi 1
Erwan Merrer 1
Pier Montessoro 1
Pierre Sens 1
Liliana Pasquale 1
Emmanuel Collins 1
Hariharasudhan Viswanathan 1
Giovanni Acampora 1
Hakan Duman 1
Victor Callaghan 1
Javier Morales 1
Elisa Boix 1
Mirko Viroli 1
Nikolay Grozev 1
Nicholas Farrow 1
Richard Han 1
Marco Conti 1
Martin Chorley 1
Sylvain Frey 1
Xin Yao 1
Gerrit Anders 1
Aly Farahat 1
Jeff Napper 1
Vito Trianni 1
Vincent Chevrier 1
Jordi Campos 1
Qiang Duan 1
Shangping Ren 1
Meiling Shyu 1
Yoann Dieudonné 1
Shamimabi Paurobally 1
Pawan Goyal 1
Jules White 1
Andreas Deutsch 1
Masoodmehmood Khan 1
Mark Goldberg 1
Raluca Marin-Perianu 1
Gang Chen 1
Stefan Fischer 1
Josef Widder 1
Praveen Danturi 1
Luciano Baresi 1
Sara Montagna 1
Lazaros Merakos 1
Zhendong Zhao 1
Marios Dikaiakos 1
Chienliang Fok 1
Gruia Roman 1
Palden Lama 1
Yazan Boshmaf 1
Jesper Andersson 1
Siobhán Clarke 1
Nikola Serbedzija 1
Hongliang Guo 1
Aistis Simaitis 1
Antonio Ruiz-Cortés 1
Arijit Roy 1
Hofung Leung 1
Zhong Ming 1
Manuele Brambilla 1
Gerhard Weiss 1
Theo D’hondt 1
Francesco Tiezzi 1
T Tse 1
Peter Vrancx 1
Rajkumar Buyya 1
Abdel Rodríguez 1
Didac Iglesia 1
David Menga 1
Isabelle Demeure 1
Seif Haridi 1
Raffaele Giordanelli 1
Anant Agarwal 1
Dominique Gaïti 1
Antonio Fernández 1
Jiannong Cao 1
Michael Smit 1
Hofung Leung 1
Ana Peleteiro 1
Chungwei Hang 1
Saurabh Bagchi 1
Yoshio Nakajima 1
Hong Jiang 1
Yang Xiao 1
John Baras 1
Manish Parashar 1
Elizabeth Papadopoulou 1
Georgia Sakellari 1
Vincent Hilaire 1
Sebastian Rodriguez 1
Ke Li 1
John Mylopoulos 1
Chris Thompson 1
Guanhong Pei 1
Naixue Xiong 1
Ekram Hossain 1
Nachiket Kapre 1
André DeHon 1
Alfredo Goñi 1
Geoffrey Canright 1
Özalp Babaoğlu 1
Thomas Labella 1
William Wallace 1
Manish Parashar 1
Hausi Müller 1
Paul Havinga 1
Michael De Rosa 1
Christian Müller-Schloer 1
Ladan Tahvildari 1
Tatsuya Suda 1
George Alyfantis 1
Luidnel Maignan 1
James Reggia 1
Karsten Schwan 1
Xavier Défago 1
Pejman Iravani 1
Giandomenico Spezzano 1
Tina Nolte 1
Daniel Schneider 1
Mario Trapp 1
Carlo Ghezzi 1
Jason Hallstrom 1
Ivana Dusparic 1
Emerson Loureiro 1
Yan Meng 1
Dominik Fisch 1
Andrea Bondavalli 1
Marina Kopeetsky 1
Alex Liu 1
Gilles Muller 1
Gabriel Moreno 1
Bradley Schmerl 1
Parisa Zoghi 1
Giuseppe Anastasi 1
Dario Pompili 1
Hani Hagras 1
Matteo Gaeta 1
Elena Val 1
Siqi Chen 1
Michele Loreti 1
Rosario Pugliese 1
Sam Macbeth 1
Chonho Lee 1
Bo Xu 1
Ouri Wolfson 1
Alessandro Papadopoulos 1
Guillaume Pierre 1
Michael Bonani 1
Cristiana Amza 1
Bin Xiao 1
Cornel Barna 1
Juan Burguillo 1
Carlos Flores 1
Vinaitheerthan Sundaram 1
Zhiyuan Li 1
Hui Cao 1
Ted Herman 1
François Bonnet 1
Jordi Sabater-Mir 1
Prashant Shenoy 1
Andrea Omicini 1
Terry Payne 1
Angelo Susi 1
Binoy Ravindran 1
Laurencetianruo Yang 1
Santi Phithakkitnukoon 1
Arantza Illarramendi 1
Imrich Chlamtac 1
Giacomo Cabri 1
Andres Quiroz 1
Zhenxin Zhan 1
Naeem Esfahani 1
Abdolhossein Sarrafzadeh 1
Christian Igel 1
Habib Ammari 1
Toshimitsu Masuzawa 1
Salvatore Garruzzo 1
Fan Li 1
Kurt Rothermel 1
Pedro Marrón 1
Giuseppe De Pietro 1
Ben Paechter 1
Bernhard Sick 1
Stephen Fairclough 1
Yaochu Jin 1
Martin Jänicke 1
Tao Xie 1
Philippe Leroux 1
Pablo Trinidad 1
Simone Brienza 1
Arne Brutschy 1
Pedro Ruivo 1
João Magalhães 1
Jingshu Chen 1
Alberto FernáNdez 1
Dries Harnie 1
Wolfgang Meuter 1
Rocco Nicola 1
Francesco Quaglia 1
Homa Hosseinmardi 1
Akshay Mysore 1
Danilo Pani 1
Francesca Palumbo 1
Alexander Gogolev 1
Amir Payberah 1
Florian Siefert 1
Junichi Suzuki 1
Michela Meo 1
Martina Maggio 1
Francesco Mondada 1
Elio Tuci 1
Gokul Soundararajan 1
Minyi Guo 1
Zhuoyao Zhang 1
Boonthau Loo 1
Pichung Wang 1
Zonghua Zhang 1
Johann Bourcier 1
Jim Dowling 1
Yue Yu 1
Makoto Takizawa 1
Zongxing Xie 1
Ouiddad Labbani-Igbida 1
Sukumar Ghosh 1
Ehab Elmallah 1
Noël De Palma 1
Olivier Gruber 1
Michel RAYNAL 1
Ashiq Anjum 1
Daniel Villatoro 1
Valentina Tamma 1
Maurizio D'Arienzo 1
Timothy Wood 1
Michael DeLorimier 1
Jose Royo 1
Roberto Montemanni 1
Hung Chen 1
Stephan Bosch 1
Hans Scholten 1
Peter Lee 1
Lei Liu 1
Xinwen Zhang 1
Olivier Michel 1
Mirko Viroli 1
Alexander Grushin 1
Masafumi Yamashita 1
W Leal 1
Qiaoliang Xiang 1
Lijuan Cao 1
Liqiang Zhang 1
Christian Poellabauer 1
Hongjiang Zhang 1
Dominik Fisch 1
Matteo Gozzi 1
Roberto Posenato 1
António Casimiro 1
Fei Chen 1
Jeehyun Hwang 1
Millie Pant 1
Manuel Roveri 1
Pushpendu Kar 1
Bikramjit Banerjee 1
Luís Silva 1
Yichuan Jiang 1
Dazhao Cheng 1
Matteo Vasirani 1
Steven Hand 1
Huai Wang 1
Kris Steenhaut 1

Affiliation Paper Counts
University of Westminster 1
Shenzhen University 1
University of Victoria 1
University of Texas at Arlington 1
University of the District of Columbia 1
Iowa State University 1
University of Geneva 1
University of Illinois 1
Rio de Janeiro State University 1
Newcastle University, United Kingdom 1
Cornell University 1
Laboratoire d'Informatique, de Robotique et de Microelectronique de Montpellier LIRMM 1
Universite Henri Poincare 1
Birkbeck University of London 1
Nanjing University of Post and TeleCommunications 1
Wayne State University 1
University of Adelaide 1
University of Manitoba 1
Rissho University 1
University of Sassari 1
The University of British Columbia 1
HP Labs 1
Dartmouth College 1
Kyushu University 1
Technical University of Darmstadt 1
Medical University of Vienna 1
Air Force Research Laboratory Information Directorate 1
Open University 1
Polytechnic Institute of Turin 1
INRIA Rhone-Alpes 1
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