A5055868276- Advanced Wireless Network Optimization
- Wireless Communication Networks Research
- Transportation and Mobility Innovations
- Distributed and Parallel Computing Systems
- Sharing Economy and Platforms
- Advanced MIMO Systems Optimization
- Service-Oriented Architecture and Web Services
- Semantic Web and Ontologies
- Wireless Networks and Protocols
- Advanced Queuing Theory Analysis
- Business Process Modeling and Analysis
- Model-Driven Software Engineering Techniques
- Urban and Freight Transport Logistics
- Transportation Planning and Optimization
- Machine Learning in Healthcare
- Cancer Immunotherapy and Biomarkers
- Multiple and Secondary Primary Cancers
- Software System Performance and Reliability
- Neutropenia and Cancer Infections
Athens Technology Center (Greece)
2023
Singapore University of Technology and Design
2017-2021
Athens University of Economics and Business
2014-2016
It is widely believed that ride sharing, the practice of sharing a car such more than one person travels in during journey, has potential to significantly reduce traffic by filling up cars efficiently. We introduce model which individuals may share rides for certain fee, paid rider(s) driver through ride-sharing platform. Collective decision making modeled as an anonymous nonatomic game with finite set strategies and payoff functions among who are heterogeneous their income. examine how...
It is widely believed that ride sharing, the practice of sharing a car such more than one person travels in during journey, has potential to significantly reduce traffic by filling up cars efficiently. We introduce model which individuals may share rides for certain fee, paid rider(s) driver through platform. %Collective decision making modeled as an anonymous non-atomic game with finite set strategies and payoff functions among who are heterogeneous their income. examine how organized...
We consider the joint minimization of queueing cost and power consumption in a wireless network, over all control policies at transmitters. Approximately optimal are derived through use comparison to single link system offering lower bounds for both performance metrics. The simple form: total consumed any instant is monotonic function linear combination queue backlogs that instant, while portions allocated each transmitter such resulting speeds proportional backlogs. Simulations show become...
We propose a simple distributed uplink power control scheme based on the Foschini-Miljanic algorithm but driven by queue sizes of each mobile station. The resulting data rates are proportional to backlog mobile, such that total consumption is equal target value. Using analysis we establish convergence and characterize equilibrium, use simulations study performance proposed scheme. It exhibited capable utilizing any idle capacity in system thereby obtaining considerable reductions average...
For CDMA cell-based systems we propose an uplink power control scheme for low data packet queueing delay. The can be seen as a simple extension to the Foschini-Miljanic algorithm which takes transmit queue sizes at mobile stations into account. proposed minimizes draining time compared all other policies with same consumption. This is because of resource pooling effects arise when queues empty time. Although in there no idle capacity wired systems, greater cummulative service obtained by...
6569 Background: Long-term cancer survivors (LTS) patients (pts) treated with immunotherapy (IT) represent a relatively new population whose characteristics, such as long-term toxicities, quality of life (QoL), and financial need to be elucidated in real-world setting. The aim this study is evaluate toxicities free disease progression IT. Methods: This cross-sectional, multicentric study, involving ten Italian centres. Pts should have started IT (as monotherapy or combination, either...