Dr. Leonidas Anthopoulos is a Professor in e-business at the University of Thessaly, Greece. During his current mission and at his previous job positions (as an Expert Counselor at the Greek Ministry of Foreign Affairs, as a Special Advisor of the Mayor of Trikala, Greece and as an ICT project manager at the Information Society S.A. (Greece)) he planned and supervised several critical projects, worth mentioning the smart city of Trikala. He is the Director of the “Intelligent Production Systems and Smart Cities” Research Institute and the Director of the Postgraduate Program in Agile Management at the University of Thessaly, Greece.
He is a member of numerous committees, worth mentioning working for the ITU (Rapporteur of Q13 of the SG5), he is the head of the Smart and Sustainable cities’ working group for the Greek Standards, the Associate Editor of the IET Smart Cities journal etc. He is the author and editor of several book collections, which can be located in Cities, Technological Forecasting and Social Change and Government Information Quarterly (ElSevier), ACM Computing Surveys monograph for Springer etc. His research interests concern, among others, smart city, e-Government, Enterprise Architecture, Strategic Management, etc.
Anthopoulos, L., Sirakoulis, K. and Reddick Ch. (2021). Conceptualizing Smart Government: Interrelations and Reciprocities with Smart City. ACM Digital Government: Research and Practice (DGov), http://dx.doi.org/10.1145/3465061
Moustaka, V., Vakali, A., Kounoudes, A. and Anthopoulos, L. (2021). Urban data dynamics: a systematic benchmarking framework to integrate crowdsourcing and smart cities standardization. Sustainability, 13(15), 8553; https://doi.org/10.3390/su13158553
Anthopoulos,L.G.; Tzimos, D.N. Carpooling Platforms as Smart City Projects: A Bibliometric Analysis and Systematic Literature Review. Sustainability 2021, 13, 10680. https://doi.org/10.3390/ su131910680
Anthopoulos, L. and Kazantzi, V. (2021). Urban Energy Efficiency assessment models from an AI and big data perspective: tools for policy makers. Sustainable Cities and Society, https://doi.org/10.1016/j.scs.2021.103492
Regardless the Smart City (SC) broad scope, which ranges from a service-oriented ecosystem with the use of almost all the emerging technologies to a resilient urban environment, practice shows that the SC is mostly capitalized for utility upgrades, urban renovation, and real-time city monitoring. Moreover, recent city implementations register attempts to utilize technology for controlling the entire city flows. The aim of this communication paper is to discuss the SC hubness and more specifically the fact that the SC can become a “hub” that collects, processes, and transmits data; brings together people to co-design and evolve; and controls service, material and people flows in all city types. As a result, this paper defines the role, the uses and the architecture of this “SC-as-a-Hub” operation labeled “SCHub”, which can standardize and control all the city flows.
Zeenat, R. and Anthopoulos, L. (2022). A Deep Learning-based Air Quality Prediction Technique using Influencing Pollutants of Neighboring Locations in Smart City. Journal of Universal Computer Science (JUCS), 28(8), pp. 799-826, doi: 10.3897/jucs.78884