717B IS Building
Institution of highest degree:
PhD, University of California, Riverside
His research interests include network science and social computing and in particular, location based social networks (LBSNs) and urban informatics. He is involved in: (a) understanding the social, spatial, temporal and network dynamics of the behavior of people as captured through LBSNs, (b) developing models and algorithms for intelligent urban services, (c) studying the effect of LBSNs on businesses and (d) securing the new business model paradigm introduced by these systems.
In the past, he has been involved in research in computer networking and, in particular, wireless and mobile networks: (a) protocol design, (b) real world experimentation, and (c) performance analysis for wireless network systems. He extremely interested in the design and implementation of practical systems, based on analytical frameworks.
K. Pelechrinis, "Matching Patterns in Networks with Multi-Dimensional Attributes: a Machine Learning Approach", in Springer Social Networks Analysis and Mining, DOI 10.1007/s13278-014-0188-2, April 2014.
K. Pelechrinis, P. Krishnamurthy and C. Gkantsidis, "Trustworthy Operations in Cellular Networks: The case of PF Scheduler", in IEEE Transactions on Parallel and Distributed Systems, Volume 25, Issue 2, February 2014.
K. Zhang and K. Pelechrinis, "Understanding Spatial Homophily: The Case of Peer Influence and Social Selection", in ACM WWW 2014, Seoul, South Korea, April, 2014.
A. Gionis, T. Lappas, K. Pelechrinis, E. Terzi, "Customized Tour Recommendations in Urban Areas", in ACM WSDM 2014, New York, NY, February, 2014.
E. Galbrun, K. Pelechrinis, E. Terzi, "Safe Navigation in Urban Environments", in ACM SIGKDD Workshop on Urban Computing 2014, New York, NY, August, 2014