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.

Shaohuai Feng | Data Science | Best Researcher Award | 2350

Dr. Shaohuai Feng | Data Science | Best Researcher Award

Student at Feng CGSS, China

Feng Shaohuai is a dedicated researcher focused on sustainable development 🌍 and carbon neutrality 🌱. His work explores how industrial systems, environmental policies, and technological innovation can drive the low-carbon transition, particularly in emerging economies. Through interdisciplinary approaches, Feng bridges academic research with practical solutions to address global climate challenges. His projects, such as sustainable industrial transformation and data-driven environmental policy models, offer actionable frameworks for achieving long-term sustainability goals 🌿. With a commitment to policy implementation, his research informs industry and government decision-making. Feng’s recent publications in top journals reflect his expertise in environmental governance and low-carbon industrial policies. Despite his impressive academic contributions, there is room for expansion in industry partnerships, patents, and editorial roles πŸ“š. Feng is a rising star in his field, bringing impactful, real-world solutions to pressing global issues and advancing the sustainability agenda 🌟.

Professional Profile

Scopus Profile

Education πŸŽ“

Feng Shaohuai’s academic journey is rooted in the study of sustainability and carbon neutrality 🌍. He holds degrees specializing in environmental governance and low-carbon technologies 🌱, which have shaped his expertise in addressing global climate issues. His education provides a deep understanding of sustainable development challenges, particularly in the context of developing economies 🌏. Feng’s studies have focused on green innovation, energy efficiency, and policy frameworks that support the transition to a low-carbon future πŸ”‹. This educational background enables him to merge theory with practice, crafting real-world solutions that align with global climate goals 🌐. Through his learning, Feng has honed interdisciplinary skills to create strategies that foster sustainability across various sectors, positioning him as a key figure in the field of environmental research πŸ”¬.

Professional Experience πŸ’Ό

Feng Shaohuai currently serves as a researcher at Universiti Sains Malaysia, where he focuses on sustainable industrial transformation and energy efficiency βš™οΈ. His professional work bridges the gap between policy, data, and technology, creating practical solutions for sustainable development 🌍. Feng leads projects that develop low-carbon industrial policies and green innovation strategies, aiming to transform industries and promote sustainability in emerging economies 🌱. His role enables him to work with governments, academia, and industry leaders to drive global sustainability agendas. Through his interdisciplinary approach, Feng has made valuable contributions to carbon neutrality and energy efficiency, ensuring that his research delivers real-world impact in the fight against climate change 🌑️.

Research Interest πŸ”¬

Feng Shaohuai’s research is dedicated to carbon neutrality, low-carbon industrial policies, and sustainable development 🌱. He explores the intersection of technological innovation, environmental governance, and market mechanisms to develop solutions that address global sustainability challenges 🌍. His focus is on how data-driven environmental policies can enhance decision-making and improve energy efficiency πŸ”‹. Feng also investigates strategies for sustainable industrial transformation, particularly in developing economies, to foster green innovation and reduce carbon footprints 🌳. His interdisciplinary research combines policy, technology, and industry, aiming to create actionable solutions for global climate goals 🌏. Through this work, Feng seeks to accelerate the transition to a low-carbon future and promote environmental sustainability across sectors 🌐.

Awards and Honors πŸ†

While Feng Shaohuai has yet to receive major formal awards, his research has earned recognition in the field of sustainability and carbon neutrality 🌿. His articles in respected journals like Resources Policy and Energy Strategy Reviews showcase his growing influence in the academic world πŸ“š. Feng’s work on low-carbon industrial transformation and environmental policies has contributed to advancing sustainable development goals 🌏. Though not yet awarded, his published research and interdisciplinary approach are a testament to his expertise and potential for future recognition 🌟. As his work continues to influence the fields of green innovation and sustainable development, Feng is well-positioned to receive accolades for his contributions to the low-carbon transition and global climate solutions 🌱.

Conclusion 🌟

Feng Shaohuai is an emerging leader in sustainability research, focusing on carbon neutrality, green innovation, and low-carbon industrial policies 🌿. His academic background and professional expertise enable him to bridge the gap between policy, data, and technology, driving impactful solutions for global sustainability 🌍. Feng’s research on sustainable industrial transformation and energy efficiency plays a pivotal role in shaping strategies that support carbon neutrality and environmental governance 🌱. Through his interdisciplinary approach, Feng is actively contributing to the global shift toward low-carbon futures 🌏. As he continues to collaborate with governments, industries, and researchers, Feng’s work will accelerate climate goals and contribute to a sustainable and green world 🌳.

Publications Top Notes

Unlocking the potential of natural resources, fintech and fiscal policy for carbon neutrality; evidence from N-11 nations

  • Authors: Shaohuai Feng, Mohd Wira Mohd Shafiei, Theam Foo Ng, Jie Ren

  • Year: November 2024

  • Source: Resources Policy 🌍


The intersection of economic growth and environmental sustainability in China: Pathways to achieving SDG

  • Authors: Shaohuai Feng, Mohd Wira Mohd Shafiei, Theam Foo Ng, Yefeng Jiang

  • Year: September 2024

  • Citations: 9 πŸ“š

  • Source: Energy Strategy Reviews ⚑