@conference {4659,
	title = {Bandwidth Optimization Techniques in Heterogeneous 5G Networks Using DUDe},
	booktitle = {The 6th International Conference on Advanced Communication Technologies and Networking (CommNet 2023), December 11 {\textendash} 13, 2023, Rabat, Morocco},
	year = {2023},
	abstract = {The deployment of 5G networks has led to a significant increase in demand for high-speed data rates and improved overall network performance. HetNets are a promising solution for providing coverage and capacity
enhancements for 5G networks. However, one of the key  challenges in HetNets is the optimization of bandwidth allocation. Traditional resource allocation techniques are limited in their ability to provide efficient and effective solutions for 5G networks. To address this challenge, a novel technology called DUDe (Downlink/Uplink Decoupling) has been proposed. DUDe optimizes bandwidth allocation in HetNets by dynamically adjusting the allocation of network resources to user demand and network conditions. The motivation of this paper is to highlight the importance of DUDe technology in macro cell offloading in 5G HetNets. The paper evaluates the
performance of DUDe in comparison to traditional resource allocation techniques and provides insights into the key factors that influence its effectiveness. Moreover, this paper presents a detailed analysis of simulations results and provides recommendations for future research. The findings of this study will be useful for network operators and researchers in developing more efficient and effective resource allocation strategies for 5G networks.},
	author = {Konstantinos Tsachrelias and Chrysostomos Katsigiannis and Vasileios Kokkinos and Apostolos Gkamas and Christos Bouras and Philippos Pouyioutas}
}
@conference {4657,
	title = {A Chatbot Generator for Improved Digital Governance},
	booktitle = {20th European Mediterranean \& Middle Eastern Conference on Information Systems (EMCIS 2023), December 11 {\textendash} 12, 2023, Dubai, UAE,},
	year = {2023},
	pages = {123-134},
	abstract = {Chatbots, the pioneering conversational artificial intelligence (AI) agents, have experienced remarkable growth and integration in various domains. In modern societies, chatbots have emerged as transformative digital entities, revolutionizing the way humans interact with technology. These conversational AI agents have transcended their initial applications to become integral parts of various industries and daily life. One of the most prominent roles of chatbots is in customer service, where they offer round-the-clock assistance, swift issue resolution, and personalized interactions.By handling routine queries and tasks, chatbots free up human agents to focus on complex and specialized issues, thus optimizing overall efficiency and customer satisfaction. To this end, this paper aims to present and describe the architecture of a novel chatbot generator with improved functionality in terms of quality of communication with end users and level of provided services, with a specialized infrastructure understanding the Greek language. The chatbot generator was developed in the framework of a research project and will
be pilot tested by two end-users, the National Bank of Greece (NBG) and the General Secretariat for Information Systems \& Digital Governance (GSIS-DG).},
	author = {Christos Bouras and Damianos Diasakos and Chrysostomos Katsigiannis and Vasileios Kokkinos and Apostolos Gkamas and Nikos Karacapilidis and Yannis Charalabidis and Zoi Lachana and Charalampos Alexopoulos and Theodoros Papadopoulos and Georgios Karamanolis and Michail Psalidas}
}
@conference {4655,
	title = {On the Development of a Novel Chatbot Generator Architecture: Design and Assessment Issues},
	booktitle = {8th IEEE International Conference on Mathematics and Computers in Sciences (MCSI 2023), October 14 - 16, 2023, Athens, Greece},
	year = {2023},
	abstract = {Chatbots are witnessing remarkable growth in various fields. In modern society, chatbots have evolved into innovative digital entities that have revolutionized the way people interact with technology. These conversational AI agents have gone beyond their initial uses to become an integral part of various industries. One of the most important roles of chatbots is customer service, providing 24/7 support, quick problem resolution, and personalized interactions. Chatbots free up human agents by handling routine queries and tasks, allowing them to focus on complex and specific issues, optimizing the overall efficiency and customer satisfaction. To this end, this paper aims to present the architecture of a novel chatbot generator with improved functionality in terms of quality of communication with end users and level of provided services. In addition, the paper presents the results of two pilot chatbots assessment by users with experience in artificial intelligence and chatbot technology.},
	author = {Christos Bouras and Damianos Diasakos and Chrysostomos Katsigiannis and Vasileios Kokkinos and Apostolos Gkamas and Nikos Karacapilidis and Yannis Charalabidis and Zoi Lachana and Charalampos Alexopoulos and Theodoros Papadopoulos and Georgios Karamanolis and Michail Psalidas}
}
