Erol Gelenbe is internationally recognised for his pioneering work in the field of computer and network performance evaluation. As a Professor at Imperial College he explores the interface between information technology and the physical and economical systems that ICT observes, operates and manages. His current research addresses the security of mobile networks, and energy savings in ICT. His work is funded by the Engineering and Science Research Council, the UK Ministry of Defense and the EU FP7 Programme. He is also on the Editorial Board Member of several IEEE, Springer, ACM, Elsevier and other journals. He recently served as a consultant for MBDA, BAE Systems, Microsoft Research and General Dynamics UK Ltd. The UK's Institution for Engineering and Technology awarded him the Oliver Lodge Medal in 2010, while ACM gave him the SIGMETRICS Life-Time Achievement Award in 2008. Other prizes include the Grand Prix France Telecom from the French Academy of Sciences in 1996, the Parlar Science Award from Turkey in 1994, and honoris causa doctorates from Belgium, Italy and Turkey. He was elected a Fellow of ACM and of IEEE and is a Member of the Science Academy of Turkey, the French National Academy of Engineering, the Hungarian Academy of Sciences, the Polish Academy of Sciences, and Academia Europaea.

• Section 1: Smart Algorithms.- Adaptive Curve Tailoring.- Regularizing Soft Decision Trees.- A Simple Yet Fast Algorithm for the Closest-Pair Problem Using Sorted Projections on Multi-dimensions.- DARWIN - A Genetic Algorithm Language.- Distributed Selfish Algorithms for the Max-Cut game.- Section 2: Analysis, Modelling and Optimisation.- Distributed Binary Consensus in Dynamic Networks.- Computing bounds of the MTTF for a set of Markov Chains.- Analysing and Predicting Patient Arrival Times in Hospitals using Hidden Markov Models.- Optimal Behaviour of Smart Wireless Users.- Hyper-heuristics for Performance Optimization of Simultaneous Multithreaded Processors.- A Model of Speculative Parallel Scheduling in Networks of Unreliable Sensors.- Energy-Aware Admission Control for Wired Networks.- Section 3: Computational Linguistics.- Named Entity Recognition in Turkish with Bayesian Learning and Hybrid Approaches.- Transfer Learning Using Twitter Data for Improving Sentiment Classification of Turkish Political News.- A Fully Semantic Approach to Large Scale Text Categorization.- Emotion Analysis on Turkish Texts.- A Comparative Study to Determine the Effective Window Size of Turkish Word Sense Disambiguation Systems.- Section 4: Computer Vision.- Eyes Detection Combined Feature Extraction and Mouth Information.- Depth From Moving Apertures.- Score Level Fusion for Face-Iris Multimodal Biometric System.- Feature Selection for Enhanced 3D Facial Expression Recognition Based On Varying Feature Point Distances.- Section 5: Data and Web Engineering.- DAPNA: An Architectural Framework for Data Processing Networks.- Crescent: A Byzantine Fault Tolerant Delivery Framework for Durable Composite Web Services.- Morphological Document Recovery in HSI space.- Ontological Approach to Data Warehouse Source Integration.- Adaptive Oversampling with Active Learning in Imbalanced Data Classication.- Section 6: Wireless Sensor Networks.- Energy-Aware Distributed Hash Table-based Bootstrapping Protocol for Randomly Deployed Heterogeneous Wireless Sensor Networks.- Sensor-Activity Relevance in Human Activity Recognition with Wearable Motion Sensors and Mutual Information Criterion.- Routing Emergency Evacuees with Cognitive Packet Networks.- Detection and Evaluation of Physical Therapy Exercises by Dynamic Time Warping Using Wearable Motion Sensor Units.- Section 7: Network Security, Data Integrity and Privacy.- Commutative Matrix-Based Diffie-Hellman-Like Key-Exchange Protocol.- Anonymity in Multi-Instance Micro-Data Publication.- Homomorphic Minimum Bandwidth Repairing Codes.- Recreating a Large-scale BGP Incident in a Realistic Environment.- Uneven Key Pre-Distribution Scheme for Multi-Phase Wireless Sensor Networks.- NEMESYS: Enhanced Network Security for Seamless Service Provisioning in the Smart Mobile Ecosystem.- Towards Visualizing mobile network data.- Infrastructure for Detecting Android Malware.- NEMESYS: First Year Project Experience in Telecom Italia Information Technology.- Android Security, Pitfalls, Lessons Learned and BYOD.- Mobile Network Threat Analysis & MNO Positioning.- Mobile Network Anomaly Detection and Mitigation: The NEMESYS Approach.

Erol Gelenbe is internationally recognised for his pioneering work in the field of computer and network performance evaluation. As a Professor at Imperial College he explores the interface between information technology and the physical and economical systems that ICT observes, operates and manages. His current research addresses the security of mobile networks, and energy savings in ICT. His work is funded by the Engineering and Science Research Council, the UK Ministry of Defense and the EU FP7 Programme. He is also on the Editorial Board Member of several IEEE, Springer, ACM, Elsevier and other journals. He recently served as a consultant for MBDA, BAE Systems, Microsoft Research and General Dynamics UK Ltd. The UK's Institution for Engineering and Technology awarded him the Oliver Lodge Medal in 2010, while ACM gave him the SIGMETRICS Life-Time Achievement Award in 2008. Other prizes include the Grand Prix France Telecom from the French Academy of Sciences in 1996, the Parlar Science Award from Turkey in 1994, and honoris causa doctorates from Belgium, Italy and Turkey. He was elected a Fellow of ACM and of IEEE and is a Member of the Science Academy of Turkey, the French National Academy of Engineering, the Hungarian Academy of Sciences, the Polish Academy of Sciences, and Academia Europaea.

• Section 1: Smart Algorithms.- Adaptive Curve Tailoring.- Regularizing Soft Decision Trees.- A Simple Yet Fast Algorithm for the Closest-Pair Problem Using Sorted Projections on Multi-dimensions.- DARWIN - A Genetic Algorithm Language.- Distributed Selfish Algorithms for the Max-Cut game.- Section 2: Analysis, Modelling and Optimisation.- Distributed Binary Consensus in Dynamic Networks.- Computing bounds of the MTTF for a set of Markov Chains.- Analysing and Predicting Patient Arrival Times in Hospitals using Hidden Markov Models.- Optimal Behaviour of Smart Wireless Users.- Hyper-heuristics for Performance Optimization of Simultaneous Multithreaded Processors.- A Model of Speculative Parallel Scheduling in Networks of Unreliable Sensors.- Energy-Aware Admission Control for Wired Networks.- Section 3: Computational Linguistics.- Named Entity Recognition in Turkish with Bayesian Learning and Hybrid Approaches.- Transfer Learning Using Twitter Data for Improving Sentiment Classification of Turkish Political News.- A Fully Semantic Approach to Large Scale Text Categorization.- Emotion Analysis on Turkish Texts.- A Comparative Study to Determine the Effective Window Size of Turkish Word Sense Disambiguation Systems.- Section 4: Computer Vision.- Eyes Detection Combined Feature Extraction and Mouth Information.- Depth From Moving Apertures.- Score Level Fusion for Face-Iris Multimodal Biometric System.- Feature Selection for Enhanced 3D Facial Expression Recognition Based On Varying Feature Point Distances.- Section 5: Data and Web Engineering.- DAPNA: An Architectural Framework for Data Processing Networks.- Crescent: A Byzantine Fault Tolerant Delivery Framework for Durable Composite Web Services.- Morphological Document Recovery in HSI space.- Ontological Approach to Data Warehouse Source Integration.- Adaptive Oversampling with Active Learning in Imbalanced Data Classication.- Section 6: Wireless Sensor Networks.- Energy-Aware Distributed Hash Table-based Bootstrapping Protocol for Randomly Deployed Heterogeneous Wireless Sensor Networks.- Sensor-Activity Relevance in Human Activity Recognition with Wearable Motion Sensors and Mutual Information Criterion.- Routing Emergency Evacuees with Cognitive Packet Networks.- Detection and Evaluation of Physical Therapy Exercises by Dynamic Time Warping Using Wearable Motion Sensor Units.- Section 7: Network Security, Data Integrity and Privacy.- Commutative Matrix-Based Diffie-Hellman-Like Key-Exchange Protocol.- Anonymity in Multi-Instance Micro-Data Publication.- Homomorphic Minimum Bandwidth Repairing Codes.- Recreating a Large-scale BGP Incident in a Realistic Environment.- Uneven Key Pre-Distribution Scheme for Multi-Phase Wireless Sensor Networks.- NEMESYS: Enhanced Network Security for Seamless Service Provisioning in the Smart Mobile Ecosystem.- Towards Visualizing mobile network data.- Infrastructure for Detecting Android Malware.- NEMESYS: First Year Project Experience in Telecom Italia Information Technology.- Android Security, Pitfalls, Lessons Learned and BYOD.- Mobile Network Threat Analysis & MNO Positioning.- Mobile Network Anomaly Detection and Mitigation: The NEMESYS Approach.

Erol Gelenbe is internationally recognised for his pioneering work in the field of computer and network performance evaluation. As a Professor at Imperial College he explores the interface between information technology and the physical and economical systems that ICT observes, operates and manages. His current research addresses the security of mobile networks, and energy savings in ICT. His work is funded by the Engineering and Science Research Council, the UK Ministry of Defense and the EU FP7 Programme. He is also on the Editorial Board Member of several IEEE, Springer, ACM, Elsevier and other journals. He recently served as a consultant for MBDA, BAE Systems, Microsoft Research and General Dynamics UK Ltd. The UK's Institution for Engineering and Technology awarded him the Oliver Lodge Medal in 2010, while ACM gave him the SIGMETRICS Life-Time Achievement Award in 2008. Other prizes include the Grand Prix France Telecom from the French Academy of Sciences in 1996, the Parlar Science Award from Turkey in 1994, and honoris causa doctorates from Belgium, Italy and Turkey. He was elected a Fellow of ACM and of IEEE and is a Member of the Science Academy of Turkey, the French National Academy of Engineering, the Hungarian Academy of Sciences, the Polish Academy of Sciences, and Academia Europaea.

• Section 1: Smart Algorithms.- Adaptive Curve Tailoring.- Regularizing Soft Decision Trees.- A Simple Yet Fast Algorithm for the Closest-Pair Problem Using Sorted Projections on Multi-dimensions.- DARWIN - A Genetic Algorithm Language.- Distributed Selfish Algorithms for the Max-Cut game.- Section 2: Analysis, Modelling and Optimisation.- Distributed Binary Consensus in Dynamic Networks.- Computing bounds of the MTTF for a set of Markov Chains.- Analysing and Predicting Patient Arrival Times in Hospitals using Hidden Markov Models.- Optimal Behaviour of Smart Wireless Users.- Hyper-heuristics for Performance Optimization of Simultaneous Multithreaded Processors.- A Model of Speculative Parallel Scheduling in Networks of Unreliable Sensors.- Energy-Aware Admission Control for Wired Networks.- Section 3: Computational Linguistics.- Named Entity Recognition in Turkish with Bayesian Learning and Hybrid Approaches.- Transfer Learning Using Twitter Data for Improving Sentiment Classification of Turkish Political News.- A Fully Semantic Approach to Large Scale Text Categorization.- Emotion Analysis on Turkish Texts.- A Comparative Study to Determine the Effective Window Size of Turkish Word Sense Disambiguation Systems.- Section 4: Computer Vision.- Eyes Detection Combined Feature Extraction and Mouth Information.- Depth From Moving Apertures.- Score Level Fusion for Face-Iris Multimodal Biometric System.- Feature Selection for Enhanced 3D Facial Expression Recognition Based On Varying Feature Point Distances.- Section 5: Data and Web Engineering.- DAPNA: An Architectural Framework for Data Processing Networks.- Crescent: A Byzantine Fault Tolerant Delivery Framework for Durable Composite Web Services.- Morphological Document Recovery in HSI space.- Ontological Approach to Data Warehouse Source Integration.- Adaptive Oversampling with Active Learning in Imbalanced Data Classication.- Section 6: Wireless Sensor Networks.- Energy-Aware Distributed Hash Table-based Bootstrapping Protocol for Randomly Deployed Heterogeneous Wireless Sensor Networks.- Sensor-Activity Relevance in Human Activity Recognition with Wearable Motion Sensors and Mutual Information Criterion.- Routing Emergency Evacuees with Cognitive Packet Networks.- Detection and Evaluation of Physical Therapy Exercises by Dynamic Time Warping Using Wearable Motion Sensor Units.- Section 7: Network Security, Data Integrity and Privacy.- Commutative Matrix-Based Diffie-Hellman-Like Key-Exchange Protocol.- Anonymity in Multi-Instance Micro-Data Publication.- Homomorphic Minimum Bandwidth Repairing Codes.- Recreating a Large-scale BGP Incident in a Realistic Environment.- Uneven Key Pre-Distribution Scheme for Multi-Phase Wireless Sensor Networks.- NEMESYS: Enhanced Network Security for Seamless Service Provisioning in the Smart Mobile Ecosystem.- Towards Visualizing mobile network data.- Infrastructure for Detecting Android Malware.- NEMESYS: First Year Project Experience in Telecom Italia Information Technology.- Android Security, Pitfalls, Lessons Learned and BYOD.- Mobile Network Threat Analysis & MNO Positioning.- Mobile Network Anomaly Detection and Mitigation: The NEMESYS Approach.