Staff profile - Assoc. Prof. Dr. Donald Elmazi - Faculty of Applied Sciences and Creative Industries

FACULTY OF APPLIED SCIENCES AND CREATIVE INDUSTRIES

ACADEMIC TITLE AND POSITION	Assoc. Prof. Dr. / Professor
CURRENT ACADEMIC STATUS AND EDUCATIONAL BACKGROUND	Associate Professor in the field of Information and Communication Engineering, with expertise in wireless networks, the Internet of Things (IoT), intelligent algorithms and cybersecurity. Doctor of Science in the field of Information and Communication Engineering, with university education in Telecommunications Engineering at the Polytechnic University of Tirana, where he completed his Bachelor's studies in 2013 and Master's in 2015. In the period 2015–2018, he pursued doctoral studies at the Fukuoka Institute of Technology, Japan, where he then continued his research activity as a Postdoctoral Fellow. He received the academic title of Associate Professor on June 20, 2025.
POSITION	He is currently a lecturer at the Faculty of Applied Sciences and Creative Industries at Barleti University, where he is engaged in teaching and scientific research. His academic activity includes the development of interdisciplinary research, collaboration with international researchers and institutions, as well as contribution to the development of advanced information and communication technologies.
CONTRIBUTIONS	He has a consolidated research activity in wireless sensor networks, wireless sensor and actor networks (WSAN), Internet of Things (IoT), intelligent systems and fuzzy logic. According to his academic profile published by the institution, he has contributed to 82 papers in international conferences, 30 of them as first author, and to 30 scientific articles in journals, 11 of them as first author. His publications also address security and privacy in IoT networks, anomaly detection and the use of artificial intelligence methods in distributed systems.
ACTIVE ENGAGEMENT AND DEVELOPMENTAL AREAS OF INTEREST	His main research interests include Internet of Things (IoT), wireless sensor networks, next generation networks, Machine Learning, intelligent algorithms, fuzzy logic, cybersecurity, and communication systems. His recent works also address Federated Learning, Reinforcement Learning, distributed virtual sensors, and the use of Digital Twins for resource and energy optimization in IoT networks. His research contributes to the development of intelligent solutions for communication, data processing, and security of digital systems.

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