Christos Nicolaides is a Marie S. Curie Fellow and an Assistant Professor at the Department of Business and Public Administration at University of Cyprus (UCY). He has also secondary appointment as a Digital Fellow at the Initiative on the Digital Economy at Massachusetts Institute of Technology (MIT). Before joining UCY, Christos spent three years as a Postdoctoral Fellow at MIT Sloan School of Management funded by the James McDonnell Foundation. He has a PhD in Engineering from Massachusetts Institute of Technology, MSc in Applied Mathematics from Imperial College London and BSc in Physics from University of Thessaloniki.
His research focus on applying mathematical, statistical and computational tools to large-scale empirical and data driven research questions with applications in identification of social influence that is mediated, amplified, or directed by interactive technologies. He has worked closely with global firms on realizing business value from social media and information technology investments. Christos’ research developments have been published in major scientific journals including the Proceedings of the National Academy of Sciences and Nature Communications and have been featured at prestigious news outlets including TheNew York Times, CNN and Los Angeles Times. On February 6, 2020, Christos was named as “Professor of The Week” by Poets & Quants.
He is principal institutional investigator in research projects funded by European Commission, industry, the Cyprus Innovation and Research Foundation and the Cyprus Ministry of Health. Christos has totally attracted over 1M euros in research funding for his institution.
Education:
PhD 2014, Massachusetts Institute of Technology (MIT), USA
SM 2011, Massachusetts Institute of Technology (MIT), USA
MSc 2009, Imperial College London, UK
BSc 2008, University of Thessaloniki, Greece
Current Teaching:
BPA-444: Social Networks and Entrepreneurship (Spring 2019/20)
BPA241: Introduction to Operation Management (Fall 2017/18/19)
BPA346: Quantitative Methods in Management II (Spring 2017/18/19/20, Fall 2018/19/20)
For other academic activities and a complete list of publications and conference contributions, see the full CV.
Data Science; Machine Learning; Social Networks; Information Systems; Big Data; Visualisations; Causality; Computational Social Science; Human Mobility & Disease Spreading.
Social Status and Novelty Drove the Spread of Online Information During the Early Stages of COVID-19, A. Photiou, C. Nicolaides, P. Dhillon, Scientific Reports, in press.
Modeling the First Wave of Covid-19 Pandemic in the Republic of Cyprus. S. Agapiou*, A. Anastasiou*, A. Baxevani*, C. Nicolaides*, G. Hadjigeorgiou, T. Christofides, E. Constantinou, G. Nikolopoulos, and K. Fokianos, Scientific Reports 11, 7342 (2021) *authors listed in alphabetical order.
Privacy Preserving Data Visualizations. D. Avraam, R. Wilson, O. Butters, T. Burton, C. Nicolaides, E. Jones, A. Boyd, and P. Burton. EPJ Data Science10, 2021
Big-Fish-Little-Pond-Effects on academic self-concept and academic achievement: Evidence from English early primary school data. I. Televantou, H. W. Marsh, T. Dicke, and C. Nicolaides, Learning & Instruction 71, 101399 (2021) doi.org/10.1016/j.learninstruc.2020.101399 (read the paper)
Morphological organization of point-to-point transport in complex networks. M.-Y. Kang, G. Berthelot, L. Tupikina, C. Nicolaides, J.-F. Colonna, B. Sapoval, and D. S. Grebenkov, Scientific Reports 9, 8322 (2019), doi:10.1038/s41598-019-44701-6 (read the paper).
Self-organization of network dynamics into local quantized states. C. Nicolaides, R. Juanes and L. Cueto-Felgueroso, Nature Scientific Reports6, 21360 (2016), doi:10.1038/srep21360. (read the paper).
Impact of viscous fingering and permeability heterogeneity on fluid mixing through porous media. C. Nicolaides, B. Jha, L. Cueto-Felgueroso, and R. Juanes, Water Resources Research 51, (2015), doi:10.1002/2014WR015811. (read the paper).
Anomalous physical transport in complex networks. C. Nicolaides, L. Cueto-Felgueroso, and R. Juanes, Physical Review E 82(5), 055101(R) (2010), doi:10.1103/PhysRevE.82.055101. (read the paper)
Christos Nicolaides is a Marie S. Curie Fellow and an Assistant Professor at the Department of Business and Public Administration at University of Cyprus (UCY). He has also secondary appointment as a Digital Fellow at the Initiative on the Digital Economy at Massachusetts Institute of Technology (MIT). Before joining UCY, Christos spent three years as a Postdoctoral Fellow at MIT Sloan School of Management funded by the James McDonnell Foundation. He has a PhD in Engineering from Massachusetts Institute of Technology, MSc in Applied Mathematics from Imperial College London and BSc in Physics from University of Thessaloniki.
His research focus on applying mathematical, statistical and computational tools to large-scale empirical and data driven research questions with applications in identification of social influence that is mediated, amplified, or directed by interactive technologies. He has worked closely with global firms on realizing business value from social media and information technology investments. Christos’ research developments have been published in major scientific journals including the Proceedings of the National Academy of Sciences and Nature Communications and have been featured at prestigious news outlets including TheNew York Times, CNN and Los Angeles Times. On February 6, 2020, Christos was named as “Professor of The Week” by Poets & Quants.
He is principal institutional investigator in research projects funded by European Commission, industry, the Cyprus Innovation and Research Foundation and the Cyprus Ministry of Health. Christos has totally attracted over 1M euros in research funding for his institution.
Education:
PhD 2014, Massachusetts Institute of Technology (MIT), USA
SM 2011, Massachusetts Institute of Technology (MIT), USA
MSc 2009, Imperial College London, UK
BSc 2008, University of Thessaloniki, Greece
Teaching:
BPA-444: Social Networks and Entrepreneurship (Spring 2019/20)
BPA241: Introduction to Operation Management (Fall 2017/18/19)
BPA346: Quantitative Methods in Management II (Spring 2017/18/19/20, Fall 2018/19/20)
For other academic activities and a complete list of publications and conference contributions, see the full CV.
Data Science; Machine Learning; Social Networks; Information Systems; Big Data; Visualisations; Causality; Computational Social Science; Human Mobility & Disease Spreading.
Social Status and Novelty Drove the Spread of Online Information During the Early Stages of COVID-19, A. Photiou, C. Nicolaides, P. Dhillon, Scientific Reports, in press.
Modeling the First Wave of Covid-19 Pandemic in the Republic of Cyprus. S. Agapiou*, A. Anastasiou*, A. Baxevani*, C. Nicolaides*, G. Hadjigeorgiou, T. Christofides, E. Constantinou, G. Nikolopoulos, and K. Fokianos, Scientific Reports 11, 7342 (2021) *authors listed in alphabetical order.
Privacy Preserving Data Visualizations. D. Avraam, R. Wilson, O. Butters, T. Burton, C. Nicolaides, E. Jones, A. Boyd, and P. Burton. EPJ Data Science10, 2021
Big-Fish-Little-Pond-Effects on academic self-concept and academic achievement: Evidence from English early primary school data. I. Televantou, H. W. Marsh, T. Dicke, and C. Nicolaides, Learning & Instruction 71, 101399 (2021) doi.org/10.1016/j.learninstruc.2020.101399 (read the paper)
Morphological organization of point-to-point transport in complex networks. M.-Y. Kang, G. Berthelot, L. Tupikina, C. Nicolaides, J.-F. Colonna, B. Sapoval, and D. S. Grebenkov, Scientific Reports 9, 8322 (2019), doi:10.1038/s41598-019-44701-6 (read the paper).
Self-organization of network dynamics into local quantized states. C. Nicolaides, R. Juanes and L. Cueto-Felgueroso, Nature Scientific Reports6, 21360 (2016), doi:10.1038/srep21360. (read the paper).
Impact of viscous fingering and permeability heterogeneity on fluid mixing through porous media. C. Nicolaides, B. Jha, L. Cueto-Felgueroso, and R. Juanes, Water Resources Research 51, (2015), doi:10.1002/2014WR015811. (read the paper).
Anomalous physical transport in complex networks. C. Nicolaides, L. Cueto-Felgueroso, and R. Juanes, Physical Review E 82(5), 055101(R) (2010), doi:10.1103/PhysRevE.82.055101. (read the paper)