Charalampos Patrikakis | Data Science | Best Researcher Award

Prof. Dr. Charalampos Patrikakis | Data Science | Best Researcher Award

Director, Consert lab at University of West Attica Greece

Professor Charalampos Z. Patrikakis is a distinguished academic at the University of West Attica (UniWA), specializing in the design of interconnected electronic systems and data-driven services πŸ“‘πŸ’‘. As Director of the Computer Network Services Research Laboratory and Chair of UniWA’s Innovation and Start-up Entrepreneurship Committee πŸš€, he bridges advanced research with real-world impact. He leads the MSc Program in Artificial Intelligence and Deep Learning πŸ€– and co-founded the spinoff THINGENIOUS, emphasizing tech transfer and innovation. A Senior Member and Distinguished Contributor of IEEE 🌐, he serves as Editor-in-Chief of IEEE IT Professional Magazine and actively mentors through IEEE Student Branch and global committees πŸŽ“. His contributions span academia, policy, and innovation, positioning him as a thought leader in digital transformation, AI, and trustworthy systems πŸ”πŸ“Š.

Professional ProfileΒ 

πŸŽ“ Education

Professor Charalampos Z. Patrikakis holds a strong academic foundation in Electrical and Computer Engineering, having completed his undergraduate and graduate studies in Greece’s premier technical institutions πŸ›οΈ. His educational journey laid the groundwork for a deep engagement in networked systems, AI, and intelligent service design 🧠. Over the years, he has continued his intellectual development through participation in advanced research programs and postdoctoral initiatives, expanding his expertise into interdisciplinary domains. His commitment to lifelong learning is evident in his leadership of postgraduate programs and mentorship of early-career researchers πŸ“˜. This educational background not only supports his academic excellence but also empowers his contributions in innovation, policy, and industry-focused technological development 🎯.

πŸ’Ό Professional Experience

With an extensive career in higher education and applied research, Professor Patrikakis serves as a Professor at the University of West Attica and Director of the Computer Network Services Research Laboratory πŸ–₯️. He has previously led the Information Transmission-Processing and Networks Division and is currently Chair of UniWA’s Committee on Technology Transfer, Innovation, and Start-up Entrepreneurship πŸš€. His experience also spans advisory roles in national policy, having served the Greek Deputy Minister of Development on research matters (2006–2007) πŸ“‹. He is Editor-in-Chief of IEEE IT Professional Magazine and actively contributes to IEEE global leadership as a Senior Member and Distinguished Contributor 🌍. His professional roles demonstrate his unique ability to bridge academia, innovation, and policy for technological advancement πŸ”§πŸ“‘.

πŸ”¬ Research Interests

Professor Patrikakis’ research spans several cutting-edge fields including interconnected electronic systems, IoT architectures, data processing, and AI-driven service design πŸ€–πŸ“Ά. He is particularly interested in the trustworthiness of social networks, ethical AI, and the integration of deep learning algorithms into real-world applications 🌐. Through his leadership in the MSc Program in Artificial Intelligence and Deep Learning, he actively explores emerging topics in smart systems, adaptive learning, and secure network protocols πŸ”πŸ”. His interdisciplinary focus bridges computing, communication systems, and human-centric applications, with a strong orientation toward technological impact and innovation. By leading national and international collaborations, he contributes to shaping future-ready digital ecosystems aligned with sustainable and ethical digital transformation goals πŸŒ±πŸ“Š.

πŸ… Awards and Honors

Professor Patrikakis has received multiple honors recognizing his dedication to academia, innovation, and IEEE leadership πŸ†. As a Senior Member of IEEE, Distinguished Contributor, and Distinguished Visitor of the IEEE Computer Society, he has earned global recognition for technical leadership and community engagement 🌍. He has also been appointed Chair of several key IEEE committees, including the Special Interest Group on Trustworthiness in Social Networks. His role as Editor-in-Chief of IEEE IT Professional Magazine further emphasizes the trust and esteem placed in him by the international research community πŸ“. These accolades highlight not only his academic and technical prowess but also his ability to inspire and lead in both educational and professional domains πŸŽ–οΈ.

πŸ§ͺ Research Skills

Professor Patrikakis brings advanced research skills in system architecture design, data analytics, AI integration, and secure communications πŸ”πŸ“Š. His capabilities extend to managing large-scale research labs, supervising MSc and PhD students, and translating research into startups through successful commercialization strategies πŸš€. He is proficient in applying machine learning and deep learning models to practical challenges, fostering cross-disciplinary collaboration and innovation πŸ’»πŸ€. He excels in project planning, grant acquisition, and strategic R&D management, positioning him as a leader in both theoretical and applied research. His editorial work and IEEE leadership roles also reflect strong skills in scientific communication, peer review, and community building πŸ“šπŸŒŸ.

Publications Top Note πŸ“

  • Title: A complete farm management system based on animal identification using RFID technology
    Authors: A.S. Voulodimos, C.Z. Patrikakis, A.B. Sideridis, V.A. Ntafis, E.M. Xylouri
    Year: 2010
    Citations: 385
    Source: Computers and Electronics in Agriculture, 70(2), 380–388

  • Title: Distributed denial of service attacks
    Authors: C. Patrikakis, M. Masikos, O. Zouraraki
    Year: 2004
    Citations: 157
    Source: The Internet Protocol Journal, 7(4), 13–35

  • Title: A cooperative fog approach for effective workload balancing
    Authors: A. Kapsalis, P. Kasnesis, I.S. Venieris, D.I. Kaklamani, C.Z. Patrikakis
    Year: 2017
    Citations: 125
    Source: IEEE Cloud Computing, 4(2), 36–45

  • Title: PerceptionNet: A deep convolutional neural network for late sensor fusion
    Authors: P. Kasnesis, C.Z. Patrikakis, I.S. Venieris
    Year: 2019
    Citations: 48
    Source: Proceedings of the 2018 Intelligent Systems and Applications

  • Title: Cloud federation and the evolution of cloud computing
    Authors: D.G. Kogias, M.G. Xevgenis, C.Z. Patrikakis
    Year: 2016
    Citations: 37
    Source: Computer, 49(11), 96–99

  • Title: Deep learning empowered wearable-based behavior recognition for search and rescue dogs
    Authors: P. Kasnesis, V. Doulgerakis, D. Uzunidis, D.G. Kogias, S.I. Funcia, et al.
    Year: 2022
    Citations: 35
    Source: Sensors, 22(3), 993

  • Title: Application of blockchain technology in dynamic resource management of next generation networks
    Authors: M. Xevgenis, D.G. Kogias, P. Karkazis, H.C. Leligou, C. Patrikakis
    Year: 2020
    Citations: 33
    Source: Information, 11(12), 570

  • Title: Publish/subscribe over information centric networks: A Standardized approach in CONVERGENCE
    Authors: N.B. Melazzi, S. Salsano, A. Detti, G. Tropea, L. Chiariglione, A. Difino, et al.
    Year: 2012
    Citations: 32
    Source: Future Network & Mobile Summit

  • Title: Security and privacy in pervasive computing
    Authors: C. Patrikakis, P. Karamolegkos, A. Voulodimos, M.H. Abd Wahab, et al.
    Year: 2007
    Citations: 31
    Source: IEEE Pervasive Computing, 6(4), 73–75

  • Title: Cognitive friendship and goal management for the social IoT
    Authors: P. Kasnesis, C.Z. Patrikakis, D. Kogias, L. Toumanidis, I.S. Venieris
    Year: 2017
    Citations: 28
    Source: Computers & Electrical Engineering, 58, 412–428

  • Title: Toward a blockchain-enabled crowdsourcing platform
    Authors: D.G. Kogias, H.C. Leligou, M. Xevgenis, M. Polychronaki, E. Katsadouros, et al.
    Year: 2019
    Citations: 27
    Source: IT Professional, 21(5), 18–25

  • Title: On the benefits of deep convolutional neural networks on animal activity recognition
    Authors: E. Bocaj, D. Uzunidis, P. Kasnesis, C.Z. Patrikakis
    Year: 2020
    Citations: 24
    Source: International Conference on Smart Systems and Technologies, 83–88

  • Title: Autonomic communication
    Authors: A.V. Vasilakos, M. Parashar, S. Karnouskos, W. Pedrycz
    Year: 2009
    Citations: 23
    Source: Springer Science & Business Media

  • Title: Serious games: an attractive approach to improve awareness
    Authors: S. Sorace, E. Quercia, E. La Mattina, C.Z. Patrikakis, L. Bacon, G. Loukas, et al.
    Year: 2018
    Citations: 22
    Source: Community-Oriented Policing and Technological Innovations, 1–9

  • Title: Changing mobile data analysis through deep learning
    Authors: P. Kasnesis, C.Z. Patrikakis, I.S. Venieris
    Year: 2017
    Citations: 20
    Source: IT Professional, 19(3), 17–23
  • Title: An ontology-based smart production management system
    Authors: D.T. Meridou, A.P. Kapsalis, M.E.C. Papadopoulou, E.G. Karamanis, et al.
    Year: 2015
    Citations: 19
    Source: IT Professional, 17(6), 36–46

  • Title: Using personalized mashups for mobile location based services
    Authors: A.S. Voulodimos, C.Z. Patrikakis
    Year: 2008
    Citations: 19
    Source: International Wireless Communications and Mobile Computing Conference

  • Title: Intelligent performance prediction: the use case of a Hadoop cluster
    Authors: D. Uzunidis, P. Karkazis, C. Roussou, C. Patrikakis, H.C. Leligou
    Year: 2021
    Citations: 18
    Source: Electronics, 10(21), 2690

  • Title: Combating fake news with transformers: a comparative analysis of stance detection and subjectivity analysis
    Authors: P. Kasnesis, L. Toumanidis, C.Z. Patrikakis
    Year: 2021
    Citations: 18
    Source: Information, 12(10), 409

βœ… Conclusion

Professor Charalampos Z. Patrikakis exemplifies the modern research leaderβ€”deeply scholarly, highly innovative, and globally engaged 🌐. His academic achievements, combined with real-world impact through innovation, mentorship, and professional service, mark him as a transformative figure in the fields of AI, IoT, and secure communication systems πŸ€–πŸ’‘. With a strong commitment to interdisciplinary research, educational excellence, and societal relevance, he contributes meaningfully to shaping the future of digital technology and its applications πŸš€. His balanced expertise in academia, industry, and policy makes him an ideal role model and a worthy candidate for high-level recognition, including the Best Researcher Award πŸ…πŸ“ˆ.

Athanasios Angeioplastis | Data Science | Best Researcher Award

Prof. Athanasios Angeioplastis | Data Science | Best Researcher Award

PhD Candidate at IHU, Greece

Athanassios Aggioplastis is a dedicated researcher and educator with extensive experience in electrical engineering, informatics, and communications. Currently a PhD candidate at Aristotle University of Thessaloniki, he has a strong academic background and a passion for advancing knowledge in his field. With 17 years as an Informatics Teacher and 12 years of higher education teaching at the Technological Educational Institute (TEI) of Serres, he has significantly contributed to academic development. His professional experience spans over two decades as a freelancer in electrical engineering, complemented by involvement in scientific article writing and training program development for COPMED. Fluent in English (C2) and French (C1), he has the potential for international collaborations. While he has published research on athlete training program management, expanding his research impact through more high-impact publications, funded projects, and collaborations would further strengthen his academic profile and enhance his recognition in the research community.

Professional ProfileΒ 

Scopus Profile

Education

Athanassios Aggioplastis has pursued a strong academic foundation in electrical engineering and informatics. He is currently a PhD candidate at Aristotle University of Thessaloniki, specializing in Electrical and Computer Engineering. His academic journey also includes studies at the International Hellenic University in the Department of Information and Communication Engineering, further solidifying his expertise in advanced computational systems. Through his doctoral research, he is focused on developing innovative methodologies in engineering and informatics. His education has equipped him with a multidisciplinary perspective, enabling him to bridge theoretical knowledge with practical applications. With a strong commitment to lifelong learning, he continues to engage in academic and professional development, positioning himself as a knowledgeable researcher in his field. His educational background provides a robust foundation for his contributions to teaching, industry applications, and scientific research, making him a valuable member of the academic and engineering communities.

Professional Experience

Athanassios Aggioplastis has an extensive professional background spanning education, engineering, and research. With 17 years of experience as an Informatics Teacher at the 2nd General Lyceum of Serres, he has played a vital role in shaping the next generation of students in computer science. In higher education, he has contributed 12 years of teaching as both an hourly and seconded lecturer at the Technological Educational Institute (TEI) of Serres, specializing in Informatics and Communications. Alongside his academic career, he has worked for over 20 years as a freelance electrical engineer, applying his technical expertise in real-world projects. His professional experience extends to research-oriented roles, including scientific article writing and training program development for COPMED, demonstrating his ability to integrate academic knowledge with industry needs. His diverse experience highlights his versatility and dedication to both education and applied engineering solutions.

Research Interest

Athanassios Aggioplastis’s research interests lie at the intersection of electrical engineering, informatics, and applied computational systems. His work explores innovative methodologies in computer engineering, information and communication technologies, and their real-world applications. His published research on athlete training program management reflects a multidisciplinary approach, integrating technology with performance optimization. He is particularly interested in developing intelligent systems that enhance efficiency in various domains, including engineering applications, data-driven decision-making, and automation. His ongoing PhD research is expected to contribute novel insights into electrical and computer engineering. While his research portfolio is still expanding, his engagement with scientific writing and program development demonstrates a keen interest in advancing technological innovation. By broadening his research scope to include collaborative projects, high-impact publications, and funded initiatives, he has the potential to make significant contributions to the field and establish himself as a leading researcher in computational engineering.

Awards and Honors

While Athanassios Aggioplastis has built an impressive career in education and engineering, there is no documented record of significant research awards or honors in his profile. His long-standing contributions to academia, including 17 years of secondary school teaching and 12 years of higher education instruction, reflect a strong commitment to education and mentorship. His involvement in industry and scientific writing showcases his dedication to advancing knowledge and training programs. While he may not yet have received formal research accolades, his growing engagement in doctoral research and interdisciplinary applications could position him for future recognition. Participation in prestigious awards, securing research grants, and publishing in high-impact journals could enhance his academic standing and open opportunities for receiving awards. By actively contributing to the global research community and increasing his visibility in the field, he has the potential to earn accolades that reflect his expertise and contributions to electrical and computer engineering.

Conclusion

Athanassios Aggioplastis is a dedicated academic and professional with extensive experience in teaching, engineering, and research. As a PhD candidate, he is actively working to enhance his expertise in electrical and computer engineering while balancing a robust teaching career. His experience as a lecturer and secondary school educator highlights his dedication to knowledge dissemination. His research interests focus on applied informatics and computational engineering, with potential for growth in interdisciplinary collaborations. Although his current publication record and research accolades are limited, expanding his contributions through high-impact journal articles, research funding, and professional networking could significantly elevate his profile. His multilingual proficiency and industry background further position him for international research opportunities. While he is not yet a leading figure in research awards, his continuous academic and professional advancements indicate strong potential for future contributions and recognition in his field.

Publications Top Noted

  • Title: Predicting Student Performance and Enhancing Learning Outcomes: A Data-Driven Approach Using Educational Data Mining Techniques

    • Authors: Athanasios Angeioplastis, John Aliprantis, Markos Konstantakis, Alkiviadis Tsimpiris
    • Year: 2025
    • Citation: Computers 2025, 14(3), 83
    • Source: MDPI Computers Journal
  • Title: Predicting Student Specializations: A Machine Learning Approach Based on Academic Performance

    • Authors: Athanasios Angeioplastis, Nikolaos Papaioannou, Alkiviadis Tsimpiris, Angeliki Kamilali, Dimitrios Varsamis
    • Year: 2024
    • Citation: Journal of e-Learning and Knowledge Society, 20(2), 19-27
    • Source: Journal of e-Learning and Knowledge Society
  • Title: State-of-the-Art CNN Architectures for Assessing Fine Motor Skills: A Comparative Study

    • Authors: Konstantinos Strikas, Nikolaos Papaioannou, Ioannis Stamatopoulos, Athanasios Angeioplastis, Alkiviadis Tsimpiris, Dimitrios Varsamis, Paraskevi Giagazoglou
    • Year: 2023
    • Citation: WSEAS Transactions on Advances in Engineering Education, 20, 44-51
    • Source: WSEAS Transactions
  • Title: Parallel Feature Subset Selection Wrappers Using k-Means Classifier

    • Authors: Nikolaos Papaioannou, Alkiviadis Tsimpiris, Christos Talagozis, Leonidas Fragidis, Athanasios Angeioplastis, Sotirios Tsakiridis, Dimitrios Varsamis
    • Year: 2023
    • Citation: WSEAS Transactions on Information Science and Applications, 20, 10
    • Source: WSEAS Transactions
  • Title: Comparative Analysis of Convolutional Neural Networks for Early Diagnosis of Plant Diseases and Pests in a Multiclass Dataset

    • Authors: Nikolaos Papaioannou, Alkiviadis Tsimpiris, Aristea Kounani, Ioannis Stamatopoulos, Athanasios Angeioplastis, Dimitrios Varsamis
    • Year: 2023
    • Citation: International Journal of Computing and Optimization, 10(1), 41-53
    • Source: International Journal of Computing and Optimization
  • Title: Comparative Analysis of Focus Group Insights on Sports Inclusion for Individuals with Intellectual Disabilities in Italy, Bulgaria, and Ireland

    • Authors: Muhammad Farooq, Maria Grazia Pirina, Roberto Solinas, Athanasios Angeioplastis
    • Year: 2024
    • Source: ResearchGate
  • Title: A Procedure for Optimization of Placement Products in Large Industrial Areas of a Greek Soft Drinks Company

    • Authors: Sotirios Tsakiridis, Alkiviadis Tsimpiris, Athanasios Angeioplastis, Dimitrios Varsamis
    • Year: 2024
    • Source: ResearchGate
  • Title: A Procedure with MySQL Python for Developing Data Warehouse and Analytics Using Data from a Greek Soft Drinks Company

    • Authors: Sotirios Tsakiridis, Alkiviadis Tsimpiris, Athanasios Angeioplastis, Dimitrios Varsamis
    • Year: 2024
    • Source: ResearchGate
  • Title: Exploring the Intersection of Artificial Intelligence, Sport Education, and Disabilities: A Bibliometric Analysis and Future Research Predictions

    • Authors: Muhammad Farooq, Maria Grazia Pirina, Roberto Solinas, Athanasios Angeioplastis
    • Year: 2024
    • Source: ResearchGate
  • Title: Data Analysis of Student Performance on Database Course Using Orange Data Mining Software

    • Authors: Athanasios Angeioplastis, Alkiviadis Tsimpiris, Dimitrios Varsamis, Roberto Solinas
    • Year: 2024
    • Source: ResearchGate
  • Title: Teaching Mathematics with Educational Robotics

    • Authors: Athanasios Angeioplastis, Argyrios Koureas, Alkiviadis Tsimpiris, Roberto Solinas
    • Year: 2024
    • Source: ResearchGate
  • Title: Analytics with Oracle APEX for Enhanced Data Warehouse Management: A Case Study of a Greek Soft Drinks Company

    • Authors: Sotirios Tsakiridis, Alkiviadis Tsimpiris, Athanasios Angeioplastis, Dimitrios Varsamis
    • Year: 2024
    • Source: ResearchGate
  • Title: Statistical Analysis of Demographic Data and Student Performance in the Courses of the Bachelor’s Degree Program at the Department of Computer, Informatics and Telecommunications Engineering – International Hellenic University with ORACLE APEX Statistics

    • Authors: Athanasios Angeioplastis, Eleftherios Panagis, Sotirios Tsakiridis, Dimitrios Varsamis
    • Year: 2024
    • Source: ResearchGate
  • Title: Data Analysis of Student’s Performance on β€œDatabase” Course with ORACLE APEX Statistics

    • Authors: Athanasios Angeioplastis, Alkiviadis Tsimpiris, Dimitrios Varsamis, Robert Leskovar
    • Year: 2023
    • Source: ResearchGate