Fang-Rong Hsu | Data Science | Best Researcher Award

Prof. Fang-Rong Hsu | Data Science | Best Researcher Award

Professor at Department of Information Engineering and Computer Science/Feng Chia University, Taiwan

Dr. Fang-Rong Hsu πŸŽ“, a distinguished expert in bioinformatics, AI, and medical image processing πŸ§ πŸ–ΌοΈ, has made remarkable contributions to interdisciplinary research at the intersection of computer science and healthcare πŸ’»β€οΈ. With a Ph.D. in algorithm design from National Chiao-Tung University and decades of academic leadership 🏫, he has published extensively in top-tier SCIE journals and conferences πŸŒπŸ“š. His cutting-edge work spans AI-driven diagnostics, vision transformers, and smart health technologies πŸ€–πŸ§¬. As a professor and former director at Feng Chia University, Dr. Hsu has influenced both research and education profoundly πŸ“ˆπŸ‘¨β€πŸ«. Known for impactful real-world applicationsβ€”from cancer detection to IoT-based safety systemsβ€”his research continues to shape the future of intelligent healthcare and data science πŸš‘πŸ“Š. Dr. Hsu is a leading force in innovation and scientific excellence πŸ….

Professional ProfileΒ 

Scopus Profile
ORCID Profile

πŸŽ“ Education

Dr. Fang-Rong Hsu earned his Ph.D. in Algorithm Design and Analysis from the Department of Computer Science & Information Engineering at National Chiao-Tung University, Taiwan (1992) πŸ§ πŸ’‘. He previously completed his B.S. in Computer Science at the same institution in 1986. His solid academic foundation in theoretical computing laid the groundwork for a multifaceted research career bridging algorithms, AI, and biomedical engineering πŸ“˜πŸ–₯️. With a deep interest in computational science and problem-solving, his educational journey reflects a strong commitment to both innovation and academic excellence πŸŽ―πŸ“š.

🏒 Professional Experience

Dr. Hsu has held multiple prestigious roles across Taiwanese universities 🏫. Currently a Professor in Information Engineering and Computer Science at Feng Chia University, he previously served as Director of the same department (2015–2018) and of the Bioinformatics Research Center (2004–2010) 🧬. His prior appointments include professorships and department chairs at Taichung Healthcare and Providence University, leading initiatives in IT, bioinformatics, and academic administration πŸ§‘β€πŸ«πŸ“ˆ. His career spans over three decades of leadership, education, and research guidance in computing and biomedical applications πŸ€πŸ”.

πŸ”¬ Research Interest

Dr. Hsu’s research interests span bioinformatics, parallel processing, and biomedical image processing πŸ§¬πŸ“ŠπŸ–ΌοΈ. His work focuses on integrating artificial intelligence into healthcare diagnostics, such as deep learning for cancer detection, medical image classification, and behavior analysis in zebrafish 🧠πŸ§ͺ. He is particularly passionate about explainable AI, computer vision, and AIoT applications in medical and public safety domains πŸŒβš•οΈ. His cross-disciplinary approach leverages computing power to address complex biological and clinical challenges, resulting in meaningful innovations that bridge academia and practical medicine πŸ”πŸ’‘.

πŸ… Awards and Honors

Dr. Hsu is a respected researcher recognized through numerous SCIE-indexed publications and invited international collaborations πŸŒπŸ“œ. While specific awards are not listed, his consistent authorship in prestigious journals such as IEEE Access, Frontiers in Bioengineering, and Diagnostics underscores his high-impact research reputation πŸ₯‡πŸ“–. His appointment to leadership roles in multiple institutions also reflects strong peer recognition and institutional trust. His global conference presence and academic service contributions further reinforce his standing as an accomplished scholar and thought leader in computer science and bioinformatics πŸŒŸπŸ§‘β€πŸ”¬.

πŸ› οΈ Research Skills

Dr. Hsu brings a powerful blend of skills including deep learning model development (CNN, ResNet, U-Net, ViT), biomedical image analysis, algorithm design, data mining, and AI-driven diagnostic systems πŸ€–πŸ”¬. He excels at integrating computer vision with health informatics and is experienced in parallel and embedded system implementation πŸ–₯οΈβš™οΈ. Skilled in interdisciplinary collaboration and academic writing, he leads high-impact research teams with strategic direction and technical precision. His technical expertise is matched by his ability to innovate across domainsβ€”from zebrafish modeling to smart city technologies πŸš€πŸ“‘.

Publications Top Note πŸ“

  • Title: Enhancing Safety with an AI-Empowered Assessment and Monitoring System for BSL-3 Facilities
    Authors: Yi-Ling Fan, Ching-Han Hsu, Fang-Rong Hsu, et al.
    Year: 2025
    Source: Heliyon

  • Title: Hybrid Top Features Extraction Model for Detecting X Rumor Events Using an Ensemble Method
    Authors: Taukir Alam, Wei Chung Shia, Fang-Rong Hsu, Taimoor Hassan, Pei-Chun Lin, Eric Odle, Junzo Watada
    Year: 2025
    Source: Journal of Web Engineering

  • Title: Coating Process Control in Lithium-Ion Battery Manufacturing Using Cumulative Sum Charts
    Authors: Min-Chang Liu, Fang-Rong Hsu, Chua-Huang Huang
    Year: 2024
    Citations: 1
    Source: Production Engineering

  • Title: Next-Generation Swimming Pool Drowning Prevention Strategy Integrating AI and IoT Technologies
    Authors: Wei-Chun Kao, Yi-Ling Fan, Fang-Rong Hsu, Chien-Yu Shen, Lun-De Liao
    Year: 2024
    Citations: 3
    Source: Heliyon

  • Title: Complex Event Recognition and Anomaly Detection with Event Behavior Model
    Authors: Min-Chang Liu, Fang-Rong Hsu, Chua-Huang Huang
    Year: 2024
    Citations: 1
    Source: Pattern Analysis and Applications

πŸ“Œ Conclusion

Dr. Fang-Rong Hsu exemplifies the spirit of research excellence through his deep academic roots, broad interdisciplinary vision, and unwavering dedication to solving real-world challenges 🌐🧠. His contributions to artificial intelligence in healthcare, sustained publication record, and leadership roles make him a standout figure in the scientific community πŸ…πŸ“š. As a scholar, mentor, and innovator, he continues to influence both present and future generations of researchers in computing, biomedicine, and beyond πŸŒ±πŸ”. Dr. Hsu is an exemplary candidate for top-tier recognition in research leadership and innovation πŸ†πŸŽ“.

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.