Prof. Dr. Veneta Aleksieva | Blockchain | Best Researcher Award
Prof. Dr. Veneta Aleksieva | Technical University of Varna | Bulgaria
Prof. Dr. Veneta Aleksieva is a distinguished researcher and academic at the Technical University of Varna, Bulgaria, specializing in computer networks, network security, and wireless communication technologies. With a Scopus h-index of 8, 61 publications, and over 233 citations, she has made significant contributions to network modeling, simulation, and optimization particularly in MPLS, LTE, and hybrid wireless networks. Her research extends to e-learning systems, quality of service (QoS) enhancement, intelligent traffic scheduling, and blockchain-based smart contracts. She has developed simulation frameworks for improving the efficiency and reliability of network infrastructures and has published extensively in international journals and conferences. As a Cisco Certified Network Associate (CCNA) and Instructor, she integrates academic rigor with practical training in network design and administration. Prof. Dr. Veneta Aleksieva ’s work bridges education, applied engineering, and emerging technologies, promoting innovation in both teaching and research within the field of computer science and network engineering.
Profiles: Scopus | ORCID | Google Scholar
Featured Publications
Aleksieva, V., & Nenov, H. (2005). Quality of feedback based on electronic tests in e-learning education. Computer Science and Technologies, (2), 81–87. ISSN 1312-3335.
Nenov, H., & Aleksieva, V. (2006). Quality of feedback in e-learning education. In Second National Conference on E-Learning in Higher Education (pp. 129–132). University Publishing House “St. Kliment Ohridski”. ISBN-10: 954-07-2413-9; ISBN-13: 978-954-07-2413-3.
Nenov, H., & Aleksieva, V. (2006). Formation of assessment based on electronic tests. In Second National Conference on E-Learning in Higher Education (pp. 129–132). University Publishing House “St. Kliment Ohridski”. ISBN-10: 954-07-2413-9; ISBN-13: 978-954-07-2413-3.
Aleksieva, V. (2007). The problems in distance learning. In iCEST 2007: Proceedings of Papers (Vol. 2, pp. 621–622). Bitola. ISBN 9989-786-06-2.
Aleksieva, V., & Antonov, P. (2008). A model for network performance analysis in case of transfer of large image files. In ICEST 2008, Nish, Serbia, July 28–31, 2008 (pp. 60–67). ISBN 978-86-85195-59-4.
He is pursuing a Ph.D. in CSE at Lovely Professional University and holds an M.Tech from Amina Institute of Technology (JNTUH) and a B.Tech from Sree Visvesvaraya Institute of Technology.
His expertise spans Cloud Computing, 
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His research areas include Cloud Computing, IoT, and
Recently, he co-authored “Quantum Machine Learning in Cloud-Based Security Services” and actively engages in enhancing academic projects.
He has participated in workshops like “AI Tools and Advanced Excel” to refine his teaching and research abilities. His commitment to fostering innovation and education sets him apart in the academic community.
His work includes developing frameworks for secure IoT devices and exploring Machine Learning applications in chronic disease detection and image processing.
With patents like “Blockchain-Based Framework for IoT Privacy” and “Machine Learning Classifier for Chronic Kidney Disease,” he demonstrates his expertise in leveraging cutting-edge technologies for real-world problems.
His interdisciplinary approach bridges gaps in computational efficiency, making him a pivotal contributor to technological advancements. 


