@conference {
	title = {On the Mitigation of Interference Imposed by Intruders in Passive RFID Networks},
	author = {Tsiropoulou, Eirini Eleni., Baras, John S., Papavassiliou, Symeon., Qu, G.},
	year = {2016},
	month = {09/2016},
	address = {Garching, Munich},
	booktitle = {International Symposium on Networked Cyber-Physical Systems (NetCPS)}
}
@conference {
	title = {Noncommutative Probability Models for Net-CPS and Net-CPSS},
	author = {Baras, John S., Raghavan, Aneesh.},
	year = {2016},
	month = {09/2016},
	address = {Garching, Munich},
	booktitle = {International Symposium on Networked Cyber-Physical Systems (NetCPS)}
}
@conference {
	title = {A Reputation based Trust Management System for the Internet of Things},
	author = {Papagianni, Chrysa. , Baras, John S., Papavassiliou, Symeon.},
	year = {2016},
	month = {09/2016},
	address = {Garching, Munich},
	booktitle = {International Symposium on Networked Cyber-Physical Systems (NetCPS)}
}
@conference {
	title = {Optimal Mission Planning under Logical Constraints with Safety Gaurantees: An Application for Robotic CPSs},
	author = {Maity, Dipankar., Zhou, Yuchen., Baras, John S.},
	year = {2016},
	month = {09/2016},
	address = {Garching, Munich},
	booktitle = {International Symposium on Networked Cyber-Physical Systems (NetCPS)}
}
@conference {
	title = {STAR : Semiring Trust Inference for Trust - Aware Social recommenders},
	author = {Gao, Peixin., Miao, Hui., Baras, John S., Golbeck, Jennifer.},
	year = {2016},
	month = {09/2016},
	abstract = {Social recommendation takes advantage of the influence of social relationships in decision making and the ready availability of social data through social networking systems. Trust relationships in particular can be exploited in such systems for rating prediction and recommendation, which has been shown to have the potential for improving the quality of the recommender and alleviating the issue of data sparsity, cold start, and adversarial attacks. An appropriate trust inference mechanism is necessary in extending the knowledge base of trust opinions and tackling the issue of limited trust information due to connection sparsity of social networks. In this work, we offer a new solution to trust inference in social networks to provide a better knowledge base for trust-aware recommender systems. We propose using a semiring framework as a nonlinear way to combine trust evidences for inferring trust, where trust relationships are represented by 2-D vectors. The trust propagation and aggregation rules, as the building blocks of our trust inference scheme, are based upon the properties of trust relationships. In our approach, both trust and distrust (i.e., positive and negative trust) are considered, and opinion conflict resolution is supported. We evaluate the proposed approach on real-world datasets, and show that our trust inference framework has high accuracy, and is capable of handling trust relationship in large networks. The inferred trust relationships can enlarge the knowledge base for trust information and improve the quality of trust-aware recommendation.},
	address = {Boston, Massachusetts},
	booktitle = {10th ACM Conference on Recommender Systems},
	pages = {pp. 301-308}
}
@conference {
	title = {Optimal Information Control in Cyber-Physical Systems},
	author = {Soleymani, Touraj., Hirche, Sandra., Baras, John S.},
	year = {2016},
	month = {09/2016},
	abstract = {In this paper, we address optimal information control in cyber-physical systems. In~particular, we study optimal closed-loop policies for transmission of measurements of a stochastic~dynamical system through a communication channel given estimation and communication~costs. We develop a framework for optimizing an aggregate cost function that incorporates~the estimation and the communication costs over a finite time horizon. We obtain the optimal~closed-loop policy, and show that it can be expressed directly in terms of the value of information.~In addition, we propose an approximation algorithm that yields a suboptimal closed-loop policy.~Numerical and simulation results are presented for a simple system.},
	address = {Tokyo, Japan},
	booktitle = {6th IFAC Workshop on Distributed Estimation and Control in Networked Systems},
	pages = {pp. 1-6}
}
@conference {
	title = {The Next Wonder -  MBSE/MBE: From Ideas to "Making Products and Services"},
	author = {Baras, John S.},
	year = {2016},
	month = {09/2016},
	abstract = {Advances in Information Technology have enabled the design of complex engineerd systems, with large number of heterogeneous components and capable of multiple complex functions, leading to the ubiquitious cyber-physical systems (CPS). These advances have at the same time increased the capabilities of such systems and have increased their complexity ~to such an extent that systematic design towards predictable performance is extremely ~challenging, if not infeasible with the current methodologies and tools. We first describe a rigorous framework we are developing for model-based systems engineering (MBSE), s system level deisgn methodology that addresses these challenges, which also incorporates manufacturing, operation and life cylce considerations. We describe the three fundemental components for MBSE within our framework: (a) An integrated systems modeling hub built around SysML, employing meta-modeling and tools; (b) Linking this modelling hub with tradeoff analysis tools for design space exploration, employing linkage with the parametric and requirements ~diagram of SysML, and integrated methods and tools from multi-criteria ~mixed ( integer and numerical variables and metrics) optimization and constrained based reasoning; (c) Representation and management of requirements, employing initial efforts towards an integration of methods ~and tools from model checking, contract based ~design and automatic theorem proving, and including finite time temporal logic ~specifications for system behaviour. We describe ~our results for conquering and managing the complexity of queries in design, manufacturing and operational space exploration. We provide a short description ~of such complex systems, a subject of rapindly increasing importance in view paradigms. We next describe applications of the framework to~several important ~current ~technological problems ( several major domains of CPS): power grids, automotive, aerospcae, energy efficient buildings, sensor and communication networks, smart manufacturing, robotics and UAV, health care, cyber-security. We close with a description of what is still lacking , research challenges and future promising research directions.},
	address = {Berlin, Germany},
	booktitle = {21st IEEE International Conference on Emerging Technologies and Factory Automation}
}
@conference {
	title = {Joint Optimization for Social Content Dissemination in Wireless Networks},
	author = {Weng, Xiangnan., Baras, John S.},
	year = {2016},
	month = {09/2016},
	abstract = {Over the last decade, success of social networks~has significantly reshaped how information disseminate among ~users in terms of scale, intensity and speed. Much effort, both~academic and industrial, has been dedicated to learning the~patterns of content dissemination to further facilitate it. ~However,~as users become dominantly mobile in this process, little is done~to consider the impact of the wireless environment, in particular,~how to optimize the system, in the presence of capacity shortage,~to better disseminate the contents. In this paper, we propose ~a novel method, utilizing: 1) hybrid systems to handle active~disseminating requests; and 2) predictions of dissemination dynamics~from the social network applications. This method could~mitigate the performance degradation for content dissemination~due to wireless delivery delay. Results indicate that predictions of
dissemination at social layer, even coarse ones, benefit the social dissemination, by improving scheduling at wireless layer, which~in turn improves the accuracy of the predictions with feedback.},
	address = {Valencia, Spain},
	booktitle = {2016 IEEE 27th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)},
	pages = {pp. 1-7}
}
