Constantinos Costa

Constantinos Costa
University of Pittsburgh | Pitt · Department of Computer Science

PhD

About

27
Publications
2,398
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222
Citations
Introduction
Constantinos Costa is currently a Visiting Research Scholar and a Part-Time Instructor at the University of Pittsburgh. He is a member of the Advanced Data Management Technologies Lab (ADMT) and holds a PhD from the University of Cyprus (UCY). Until recently, he was a researcher at the Department of Computer Science (UCY) and a member of the Data Management Systems Laboratory (DMSL). His primary research interests include big data management in parallel and distributed architectures, spatio-temporal data management, urban informatics, network and telco data management. Constantinos has contributed extensively to open source projects for indoor navigation, crowd messaging and telco big data. For more information, please visit: https://cs.pitt.edu/~costa.c/
Additional affiliations
September 2010 - present
University of Cyprus
Position
  • Research Assistant

Publications

Publications (27)
Article
Full-text available
The fight against the COVID-19 pandemic has highlighted the importance and benefits of recommending paths that reduce the exposure to and the spread of the SARS-CoV-2 coronavirus by avoiding crowded indoor or outdoor areas. Existing path discovery techniques are inadequate for coping with such dynamic and heterogeneous (indoor and outdoor) environm...
Article
Full-text available
Effectively and accurately forecasting the congestion in indoor spaces has become particularly important during the pandemic in order to reduce the risk of exposure to airborne viruses. However, there is a lack of readily available indoor congestion data to train such models. Therefore, in this demo paper we propose EPICGen , an experimental platfo...
Article
Full-text available
In this paper, we present two novel decaying operators for Telco Big Data (TBD), coined TBD-DP and CTBD-DP that are founded on the notion of Data Postdiction. Unlike data prediction, which aims to make a statement about the future value of some tuple, our formulated data postdiction term, aims to make a statement about the past value of some tuple,...
Article
Full-text available
Recently, navigation and localization systems have emerged to support queries like the shortest distance in either indoor or outdoor with additional constraints. These systems, however, neither combine the indoor and outdoor information nor consider the external natural conditions like the weather that one may face across an outdoor path. In this d...
Chapter
The symposium “Challenges of Fingerprinting in Indoor Positioning and Navigation” took place at Barcelona (Spain) on May 3rd and 4th, 2016. The audience comprised academic, scientists, engineers, company representatives, and institutional members. The program offered reports on the state of the art for indoor positioning based on fingerprinting, as...
Conference Paper
In this demonstration paper, we present the TBD-DP operator, which relies on existing Machine Learning (ML) algorithms to abstract TBD into compact models that can be stored and queried when necessary. Our proposed TBD-DP operator has the following two conceptual phases: (i) in an offline phase, it utilizes a LSTM-based hierarchical ML algorithm to...
Conference Paper
In this paper, we present a novel decaying operator for Telco Big Data (TBD), coined TBD-DP (Data Postdiction). Unlike data prediction, which aims to make a statement about the future value of some tuple, our formulated data postdiction term, aims to make a statement about the past value of some tuple, which doesn't exist anymore as it had to be de...
Conference Paper
Full-text available
A telecommunication company (telco) is traditionally only perceived as the entity that provides telecommunication services, such as telephony and data communication access to users. However, the IP backbone infrastructure of such entities spanning densely urban spaces and widely rural areas, provides nowadays a unique opportunity to collect immense...
Article
In overloaded or partially broken (i.e., non-operational) cellular networks, it is imperative to enable communication within the crowd to allow the management of emergency and crisis situations. To this end, a variety of emerging short-range communication technologies available on smartphones, such as, Wi-Fi Direct, 3G/LTE direct or Bluetooth/BLE,...
Conference Paper
Full-text available
The smartphone revolution has introduced a new era of social networks where users communicate over anonymous messaging platforms to exchange opinions, ideas and even carry out commerce. These platforms enable individuals to establish social interactions between strangers based on a common interest or attribute. In this paper we present Rayzit, a no...
Article
A wide spectrum of Internet-scale mobile applications, ranging from social networking, gaming and entertainment to emergency response and crisis management, all require efficient and scalable All k Nearest Neighbor (AkNN) computations over millions of moving objects every few seconds to be operational. Most traditional techniques for computing AkNN...
Conference Paper
The explosive number of smartphones with ever growing sensing and computing capabilities have brought a paradigm shift to many traditional domains of the computing field. Re-programming smartphones and instrumenting them for application testing and data gathering at scale is currently a tedious and time-consuming process that poses significant logi...
Article
Smartphones are nowadays equipped with a number of sensors, such as WiFi, GPS, accelerometers, etc. This capability allows smartphone users to easily engage in crowdsourced computing services, which contribute to the solution of complex problems in a distributed manner. In this work, we leverage such a computing paradigm to solve efficiently the fo...
Conference Paper
Full-text available
In this demonstration we present SmartLab1, an exciting experimental testbed of approximately 40+ real Android Smartphones, plus emulated devices, deployed at the Department of Computer Science building at the University of Cyprus. SmartLab provides a public, permanent testbed for the development and testing of smartphone network applications via a...
Conference Paper
Full-text available
In this demonstration paper, we present a powerful distributed framework for finding similar trajectories in a smartphone network, without disclosing the traces of participating users. Our framework, exploits opportunistic and participatory sensing in order to quickly answer queries of the form: “Report objects (i.e., trajectories) that follow a si...
Conference Paper
Full-text available
We present a powerful distributed framework for comparing trajectories and answering queries of the form: “Report objects (i.e., trajectories) that follow a similar spatiotemporal motion to Q, where Q is some query trajectory”. Each trajectory resides in its entirety in-situ, which is cheaper and more efficient for mobile devices. Our SmartTrace al...

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Projects (2)