Muthucumaru Maheswaran Muthucumaru Maheswaran is an associate professor in the School of Computer Science and Department of Electrical and Computer Engineering at McGill University. He got a PhD in Electrical and Computer Engineering from Purdue University, West Lafayette and a BScEng degree in Electrical and Electronic Engineering from the University of Peradeniya, Sri Lanka. He has researched various issues in scheduling, trust management, and scalable resource discovery mechanisms in Clouds and Grids. Many papers he co-authored in resource management systems have been highly cited by other researchers in the area. Recently, his research has focused in security, resource management, and programming frameworks for Cloud of Things. He has supervised the completion of 8 PhD theses in the above areas. He has published more than 120 technical papers in major journal, conferences, and workshops. He holds a US patent in wide-area content routing. Elarbi BadidiDr. Elarbi Badidi is Associate Professor at the College of Information Technology (CIT) of the United Arab Emirates University (UAEU). He received his undergraduate degree in electrical engineering and M.Sc. in computer science from École Mohammedia des Ingénieurs, Rabat, Morocco, and the Ph.D. in computer science from Université de Montréal, Canada. Before joining the UAEU, He served for three years as a bioinformatics group leader at the biochemistry department of Université de Montréal.Dr. Elarbi has over ten years of research experience in service-oriented architecture, cloud computing, and context-aware systems, focusing on quality of service management, service level agreement management, quality of context (QoC) negotiation, QoC based selection, and data-as-a-service provisioning. He has published over sixty peer-reviewed papers in reputed international journals and conferences and eight book chapters. He served on the technicalprogram committees of many international conferences and as a reviewer of several journals.His current research interests lie in the areas of cloud computing, Internet of Things (IoT), big data, data streams processing, and data analytics.

• 1 Internet of Things Infrastructure for Smart Cities.- 2 The Role of 5G and IoT in Smart Cities.- 3 Leveraging Cloud Computing and Sensor-Based Devices in the Operation and Management of Smart Systems.- 4 Mobile Computing, IoT and Big Data for Urban Informatics: Challenges and Opportunities.- 5 5G Wireless Micro Operators for Integrated Casinos and Entertainment in Smart Cities.- 6 An IoT-based Urban Infrastructure System for Smart Cities.- 7 Vehicular Crowdsensing for Smart Cities.- 8 Towards a Model for Intelligence Context-Sensitive Computing for Smart Cities.- 9 Intelligent Mobile Messaging for Smart Cities Based on Reinforcement Learning.- 10 Asymmetric Interoperability for Software Services in Smart City Environments.- 11 Management of Video Surveillance for Smart Cities.- 12 Intelligent Transportation Systems Enabled ICT Framework for Electric Vehicle Charging in Smart City.- 13 Green Transportation Choices with IoT and Smart Nudging.- 14 Energy Harvesting in Smart Building Sensing: Overview and a Proof-of-Concept Study.

Muthucumaru Maheswaran Muthucumaru Maheswaran is an associate professor in the School of Computer Science and Department of Electrical and Computer Engineering at McGill University. He got a PhD in Electrical and Computer Engineering from Purdue University, West Lafayette and a BScEng degree in Electrical and Electronic Engineering from the University of Peradeniya, Sri Lanka. He has researched various issues in scheduling, trust management, and scalable resource discovery mechanisms in Clouds and Grids. Many papers he co-authored in resource management systems have been highly cited by other researchers in the area. Recently, his research has focused in security, resource management, and programming frameworks for Cloud of Things. He has supervised the completion of 8 PhD theses in the above areas. He has published more than 120 technical papers in major journal, conferences, and workshops. He holds a US patent in wide-area content routing. Elarbi BadidiDr. Elarbi Badidi is Associate Professor at the College of Information Technology (CIT) of the United Arab Emirates University (UAEU). He received his undergraduate degree in electrical engineering and M.Sc. in computer science from École Mohammedia des Ingénieurs, Rabat, Morocco, and the Ph.D. in computer science from Université de Montréal, Canada. Before joining the UAEU, He served for three years as a bioinformatics group leader at the biochemistry department of Université de Montréal.Dr. Elarbi has over ten years of research experience in service-oriented architecture, cloud computing, and context-aware systems, focusing on quality of service management, service level agreement management, quality of context (QoC) negotiation, QoC based selection, and data-as-a-service provisioning. He has published over sixty peer-reviewed papers in reputed international journals and conferences and eight book chapters. He served on the technicalprogram committees of many international conferences and as a reviewer of several journals.His current research interests lie in the areas of cloud computing, Internet of Things (IoT), big data, data streams processing, and data analytics.

• 1 Internet of Things Infrastructure for Smart Cities.- 2 The Role of 5G and IoT in Smart Cities.- 3 Leveraging Cloud Computing and Sensor-Based Devices in the Operation and Management of Smart Systems.- 4 Mobile Computing, IoT and Big Data for Urban Informatics: Challenges and Opportunities.- 5 5G Wireless Micro Operators for Integrated Casinos and Entertainment in Smart Cities.- 6 An IoT-based Urban Infrastructure System for Smart Cities.- 7 Vehicular Crowdsensing for Smart Cities.- 8 Towards a Model for Intelligence Context-Sensitive Computing for Smart Cities.- 9 Intelligent Mobile Messaging for Smart Cities Based on Reinforcement Learning.- 10 Asymmetric Interoperability for Software Services in Smart City Environments.- 11 Management of Video Surveillance for Smart Cities.- 12 Intelligent Transportation Systems Enabled ICT Framework for Electric Vehicle Charging in Smart City.- 13 Green Transportation Choices with IoT and Smart Nudging.- 14 Energy Harvesting in Smart Building Sensing: Overview and a Proof-of-Concept Study.

Muthucumaru Maheswaran Muthucumaru Maheswaran is an associate professor in the School of Computer Science and Department of Electrical and Computer Engineering at McGill University. He got a PhD in Electrical and Computer Engineering from Purdue University, West Lafayette and a BScEng degree in Electrical and Electronic Engineering from the University of Peradeniya, Sri Lanka. He has researched various issues in scheduling, trust management, and scalable resource discovery mechanisms in Clouds and Grids. Many papers he co-authored in resource management systems have been highly cited by other researchers in the area. Recently, his research has focused in security, resource management, and programming frameworks for Cloud of Things. He has supervised the completion of 8 PhD theses in the above areas. He has published more than 120 technical papers in major journal, conferences, and workshops. He holds a US patent in wide-area content routing. Elarbi BadidiDr. Elarbi Badidi is Associate Professor at the College of Information Technology (CIT) of the United Arab Emirates University (UAEU). He received his undergraduate degree in electrical engineering and M.Sc. in computer science from École Mohammedia des Ingénieurs, Rabat, Morocco, and the Ph.D. in computer science from Université de Montréal, Canada. Before joining the UAEU, He served for three years as a bioinformatics group leader at the biochemistry department of Université de Montréal.Dr. Elarbi has over ten years of research experience in service-oriented architecture, cloud computing, and context-aware systems, focusing on quality of service management, service level agreement management, quality of context (QoC) negotiation, QoC based selection, and data-as-a-service provisioning. He has published over sixty peer-reviewed papers in reputed international journals and conferences and eight book chapters. He served on the technicalprogram committees of many international conferences and as a reviewer of several journals.His current research interests lie in the areas of cloud computing, Internet of Things (IoT), big data, data streams processing, and data analytics.

• 1 Internet of Things Infrastructure for Smart Cities.- 2 The Role of 5G and IoT in Smart Cities.- 3 Leveraging Cloud Computing and Sensor-Based Devices in the Operation and Management of Smart Systems.- 4 Mobile Computing, IoT and Big Data for Urban Informatics: Challenges and Opportunities.- 5 5G Wireless Micro Operators for Integrated Casinos and Entertainment in Smart Cities.- 6 An IoT-based Urban Infrastructure System for Smart Cities.- 7 Vehicular Crowdsensing for Smart Cities.- 8 Towards a Model for Intelligence Context-Sensitive Computing for Smart Cities.- 9 Intelligent Mobile Messaging for Smart Cities Based on Reinforcement Learning.- 10 Asymmetric Interoperability for Software Services in Smart City Environments.- 11 Management of Video Surveillance for Smart Cities.- 12 Intelligent Transportation Systems Enabled ICT Framework for Electric Vehicle Charging in Smart City.- 13 Green Transportation Choices with IoT and Smart Nudging.- 14 Energy Harvesting in Smart Building Sensing: Overview and a Proof-of-Concept Study.