Christos Bouras | Computer Science | Research Excellence Award

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Prof. Christos Bouras | Computer Science | Research Excellence Award

Prof. Christos Bouras | University of Patras | Greece

Professor Christos Bouras is a distinguished academic leader and renowned computer engineering expert, currently serving as Professor in the Department of Computer Engineering and Informatics and Rector of the University of Patras, Greece. He holds a Diploma and a PhD in Computer Engineering and Informatics from the University of Patras. Over the course of his career, he has made substantial contributions to advanced networking technologies, digital communications, and distributed systems while leading major academic, administrative, and international initiatives. His research expertise spans and Beyond Networks, performance analysis of networking and computer systems, mobile and wireless communications, telematics, QoS and pricing mechanisms, e-learning technologies, and networked virtual environments. As an active member of IEEE and ACM, Professor Bouras has built a global reputation for innovative contributions and collaborative research. He has also held several prestigious roles, including Honorary Professor at the College of Information Engineering, Sichuan Agricultural University, China, and President of the University of Patras Property Utilization & Management Company. His long-standing academic leadership is matched by a major international presence in scholarly events. Professor Bouras has participated extensively in international conference committees for more than three decades, contributing to global research dialogue in computing, networking, and educational technologies. His committee roles span top-tier conferences such as ACM STOC, ICALP, IEEE ICALT, ICL, ICWN, ICOMP, GRID Computing, and numerous specialized workshops across Europe, Asia, and North America. His involvement includes organizing committees, program committees, keynote speaking, and advisory roles in areas such as distributed algorithms, multimedia systems, web-based learning, virtual environments, mobile technologies, simulation and modeling, and entertainment computing. Widely respected for his research excellence, international collaboration, and academic leadership, Professor Bouras continues to advance global innovation in computer networks, digital systems, and technology-enhanced learning.

Profiles: Google Scholar

Featured Publications

Jurgelionis, A., Fechteler, P., Eisert, P., Bellotti, F., David, H., Laulajainen, J. P., Bouras, C., … (2009). Platform for distributed 3D gaming. International Journal of Computer Games Technology, 2009(1), Article 231863.

Bouras, C., Kollia, A., & Papazois, A. (2017). SDN & NFV in 5G: Advancements and challenges. In 2017 20th Conference on Innovations in Clouds, Internet and Networks (ICIN) (pp. xx–xx). IEEE.

Bouras, C., & Tsogkas, V. (2012). A clustering technique for news articles using WordNet. Knowledge-Based Systems, 36, 115–128.

Bouras, C., & Tsiatsos, T. (2006). Educational virtual environments: Design rationale and architecture. Multimedia Tools and Applications, 29(2), 153–173.

Bouras, C., Philopoulos, A., & Tsiatsos, T. (2001). e-Learning through distributed virtual environments. Journal of Network and Computer Applications, 24(3), 175–199.

Bouras, C., Ntarzanos, P., & Papazois, A. (2016). Cost modeling for SDN/NFV based mobile 5G networks. In 2016 8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) (pp. xx–xx). IEEE.

Bouras, C., Konidaris, A., & Kostoulas, D. (2004). Predictive prefetching on the web and its potential impact in the wide area. World Wide Web, 7(2), 143–179.

Alaba Ayotunde Fadele | Computer Science | Research Excellence Award

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Dr. Alaba Ayotunde Fadele | Computer Science | Research Excellence Award

Dr. Alaba Ayotunde Fadele | Federal University of Education | Nigeria

Dr. Alaba Ayotunde Fadele is a distinguished computer scientist and academic leader whose work spans blockchain, cybersecurity, IoT systems, and smart contract security. He is currently a Post-Doctoral Fellow at the Instituto de Estudos e Desenvolvemento de Galicia (IDEGA), Madrid, Spain, beginning in 2025. He holds two Ph.D. degrees: a Ph.D. in Computer Science with a specialization in Blockchain from the International University, Bamenda (2020–2023), where his research focused on smart contracts and cyber security, and a Ph.D. in Computer Science from the University of Malaya (2016–2019), specializing in IoT and cyber security. His earlier academic foundations include a Master of Computer Science (2011–2014) from Ahmadu Bello University, a Postgraduate Diploma in Education (2011–2012) from Usman Danfodio University, and a First Class Honours Bachelor’s degree in Computer Science (2004–2008) from Nasarawa State University. Dr. Fadele has held major administrative and academic leadership roles, including Director of the ICT Unit at the Federal University of Education, Zaria (from October 2025), Head of the Department of Computer Science (from June 2025), and Head of the Communications Advancement Unit in the Directorate of University Advancement (2024–2025). He has served as a full-time lecturer at the Federal University of Education, Zaria since 2010, a visiting lecturer at St. Francis of Assisi College of Education since 2021, and previously as a lecturer at the Federal Polytechnic Bauchi, as well as a Research Assistant at the University of Malaya. His outstanding contributions have earned him the 2019 JNCA Best Survey Paper Award, Best Presenter Award at the Faculty of Computer Science and Information Technology Postgraduate Symposium in Malaysia (2017), and recognition as the Best Graduating Student in Computer Science at Nasarawa State University (2007/2008). Dr. Fadele has authored 20 scholarly publications, accumulating 1,253 citations from 1,245 documents, and holds an h-index of 10, reflecting his impactful contributions to cyber security, IoT research, blockchain systems, and advanced computing innovations.

Profiles: Scopus | Orcid 

Featured Publications

Alaba, F. A., & Rocha, A. (2025). Conclusions, future directions, and recommendations. In F. A. Alaba & A. Rocha (Eds.), Studies in Systems, Decision and Control (Chapter 5). Springer.

Alaba, F. A., & Rocha, A. (2025). Implementation results. In F. A. Alaba & A. Rocha (Eds.), Studies in Systems, Decision and Control (Chapter 4). Springer.

Alaba, F. A., & Rocha, A. (2025). Machine learning algorithms on malware detection against smart wearable devices. In F. A. Alaba & A. Rocha (Eds.), Studies in Systems, Decision and Control (Chapter 3). Springer.

Alaba, F. A., & Rocha, A. (2025). Security challenges of wearable technology. In F. A. Alaba & A. Rocha (Eds.), Studies in Systems, Decision and Control (Chapter 2). Springer.

Kangwon Lee | Computer Science | Best Researcher Award

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Mrs. Mihaela Corina Radu | Reproductive Health | Excellence in Research 

Carol Davila University of Medicine and Pharmacy Bucharest, Romania.

Radu Mihaela Corina is a Romanian midwifery expert and academic dedicated to improving maternal healthcare. She currently serves as an Associate University Assistant at UMF Carol Davila Bucharest, contributing to both the Department of General and Specific Nursing and the Department of Microbiology, Parasitology, and Virology. With extensive clinical experience, she is also the Head Midwife at Dr. Constantin Andreoiu County Emergency Hospital. Beyond academia, she is actively engaged in European midwifery policy, serving as a member of the Ethics Committee of the European Midwives Association and as a National Expert for Romania in an EU-funded midwifery sectoral project.

Profile

Orcid

🎓 Education

Radu Mihaela Corina has pursued an extensive academic journey in the field of medicine and midwifery. She is currently a PhD candidate in Medicine (2021 – Present) at Carol Davila University of Medicine and Pharmacy, Romania, where she is advancing her expertise in maternal and reproductive healthcare. She holds a Master’s Degree in Medical & Public Health Management (2019 – 2021) from the same institution, graduating with a perfect 10.00 GPA, demonstrating her dedication to academic excellence and healthcare leadership. Her foundational training in midwifery was completed with a Bachelor’s Degree in Midwifery (2014 – 2018) at UMF Carol Davila, Romania, where she distinguished herself as the Class Leader, showcasing her leadership skills and commitment to the profession from the early stages of her career.

💼 Professional Experience

With a strong background in midwifery and maternal healthcare, Radu Mihaela Corina has been actively contributing to both academia and clinical practice. Since 2021, she has been serving as an Associate University Assistant at UMF Carol Davila Bucharest, where she plays a key role in training future midwives and healthcare professionals. In parallel, she holds the position of Head Midwife at Dr. Constantin Andreoiu County Emergency Hospital since 2022, overseeing maternity care and ensuring the highest standards in obstetric practice.

Her passion for maternal education led her to work as a Lecturer in Prenatal Courses at the Rhodos Proviva Family Health Education Center (2020 – 2022), where she provided essential guidance to expectant mothers. Additionally, from 2018 to 2022, she served as the Head Midwife in the Birth Block at Obstetrics and Gynecology Hospital, Ploiesti, where she played a crucial role in labor and delivery management, ensuring safe and effective maternity care. Through these roles, she continues to make a significant impact in both education and clinical midwifery.

🔬 Research Interests

Maternal and Child Health 🏥

Midwifery Education & Practice 👶

Reproductive Health & Ethics 🧬

Medical Policy and Public Health 📊

🏆 Awards & Recognitions

2025: Member of the Ethics Committee, European Midwives Association

2024: National Expert for Romania, EU Project on Midwifery Professional Standards

2022 – Present: AMI Delegate, General Council, International Confederation of Midwives

2020 – Present: Vice President, Association of Independent Midwives, Romania

📚 Selected Publications

(2025) Validation of a Questionnaire Assessing Pregnant Women’s Perspectives on Addressing the Psychological Challenges of Childbirth – Nursing Reports, 15(1):8

(2024) Predictors of Pregnant Women's Decision to Opt for Cesarean Section in Romania – Cureus, 16(9)

(2024) Exploring Factors Influencing Pregnant Women’s Perceptions and Attitudes Towards Midwifery Care in Romania – Nursing Reports, 14(3), 1807-1818

(2024) COVID-19 and Flu Vaccination in Romania: Post-Pandemic Lessons – PLoS ONE, 19(3)

(2023) Similarities in Midwifery Education, Regulation, and Practice Across Europe – European Journal of Midwifery, 7(Supplement 1)

 

 

 

Hussein Alabdally | Computer Science | Best Researcher Award

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Mr. Hussein Alabdally | Computer Science | Best Researcher Award

Mr. Hussein Alabdally | University of Southern Queensland | Australia

Mr. Hussein Alabdally is a talented computer scientist, software engineer, and telecommunications specialist with diverse professional expertise spanning Australia and Iraq. With a foundation in mathematics, web development, and programming, he has contributed significantly to education, technology, and translation services. Hussein’s journey reflects his adaptability and passion for learning, from tutoring students in mathematics and English to working in IT, telecommunications, and software engineering roles. His bilingual communication skills in English and Arabic have enabled him to serve communities as an interpreter and translator, while his technical creativity continues to drive his work in coding, software design, and network systems.

Profiles

Scopus
Google Scholar

Education

Mr. Hussein’s educational path is marked by academic excellence in mathematics, computer science, and engineering studies. He earned his Bachelor of Science degree in Toowoomba, Australia, achieving outstanding results in advanced courses including operations research, numerical computing, experimental design, and web technologies. His solid foundation in mathematics and computing equipped him with analytical and problem-solving skills crucial for tackling real-world technical challenges. Alongside formal studies, he pursued professional training in web development and programming, mastering coding languages such as HTML, CSS, Python, JavaScript, and C++. Hussein also gained practical experience in website design and database management, complementing his academic knowledge with hands-on projects.

Experience

Mr. Hussein’s professional experience covers a wide range of roles across education, IT, translation, and engineering. He worked as a website developer with leading companies in Toowoomba, building digital platforms and enhancing user experience. His teaching journey as an English and mathematics tutor demonstrated his ability to simplify complex concepts for students, helping many succeed in academic pursuits. Hussein’s bilingual expertise was recognized in his work as an interpreter, supporting communication in medical, legal, and educational contexts. Transitioning into engineering roles, he contributed as an IT specialist at Dar Al-Auloom Private High School and later advanced to software engineering and telecommunications positions in Kirkuk. His diverse portfolio reflects both technical mastery and cultural adaptability.

Research Interests

Mr. Hussein’s research interests are deeply rooted in the intersection of mathematics, programming, and technology innovation. He is passionate about computational methods, web technologies, and advanced applications of mathematical modeling in computer engineering. His curiosity extends to artificial intelligence, game programming, and database systems, where he enjoys creating applications that merge creativity with technical precision. Hussein is particularly enthusiastic about designing intelligent software solutions, including document readers and chess games with AI capabilities. He also explores optimization techniques and performance computing, driven by a desire to apply theoretical knowledge to practical systems. His long-term vision is to bridge mathematics with next-generation software solutions.

Awards

Mr. Hussein’s achievements highlight his academic dedication and community engagement. He earned recognition in national and international competitions, including the Australian Statistics Competition, where he won the Queensland prize. He also secured credits in the UNSW ICAS Science and Mathematics contests, demonstrating excellence across STEM disciplines. At the University of Southern Queensland, he was actively involved in science and engineering challenges, achieving commendable rankings. Beyond academics, Hussein received awards for both academic excellence and school community participation, showcasing his commitment to leadership and service. These honors underline his consistent performance, strong analytical skills, and ability to contribute meaningfully both inside and outside the classroom.

Publication Top Notes

Empirical curvelet transform based deep DenseNet model to predict NDVI using RGB drone imagery data
Journal: Computers and Electronics in Agriculture, 
Authors: M. Diykh, M. Ali, M. Jamei, S. Abdulla, M.P. Uddin, A.A. Farooque, A.H. Labban, H. Alabdally, et al.

Improving Dry-Bulb Air Temperature Prediction Using a Hybrid Model Integrating Genetic Algorithms with a Fourier–Bessel Series Expansion-Based LSTM Model
Journal: Forecasting, 
Authors: H. Alabdally, M. Ali, M. Diykh, R.C. Deo, A.A. Aldhafeeri, S. Abdulla, et al.

ECT-DLM: Deep Learning Based Empirical Curvelet Transform Approach for Thoracic Disease Diagnosis from X-RAY Images
Conference: ICTIS
Authors: S. Abdulla, S.K. Alkhafaji, H. Marhoon, M. Diykh, M.A. Majed, J. Sadiq, H. Alabdally, et al.

Physical Human Activity Recognition Based on Spectral Graph Wavelet Transforms Integrated with Machine Learning Model
Conference: International Conference on Health Information Science,
Authors: S. Abdulla, A.S. Majeed, A.B. Al-Khafaji, W. Alsalman, M. Diykh, A. Sahi, H. Alabdally, et al.

Robust Approach for Human Activity Recognition Using Decomposing Technique Based Machine Learning Models
Conference: International Conference on Health Information Science,
Authors: S.Z. Hmoud, M. Diykh, S. Abdulla, H. Alabdally, A. Sahi

Conclusion

Mr. Hussein Alabdally represents a professional who blends education, technical skill, and cultural versatility. His journey reflects resilience, adaptability, and a deep passion for mathematics and technology. Whether teaching students, translating across languages, or designing digital systems, Hussein demonstrates excellence in every role he undertakes. His dual citizenship in Australia and Iraq positions him as a global professional with a multicultural perspective. With his diverse experience in tutoring, web development, software engineering, and telecommunications, Hussein continues to grow as a researcher and practitioner in the field of computer science. His career trajectory shows promise for future contributions to both academia and industry.

Boyan Bontchev | Computer Science | Best Researcher Award

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Prof Dr. Boyan Bontchev | Computer Science | Best Researcher Award

Prof Dr. Boyan Bontchev | Faculty of Mathematics and Informatics | Sofia University | Bulgaria

Prof Dr. Boyan Bontchev is a respected academic and industry leader who has built a career that bridges software engineering practice and research. After completing advanced studies in parallel processing, he gained international specialization in leading European institutions. His professional journey included roles as a software engineer and project manager across several countries before taking on leadership of Bonea Ltd. He later advanced to a professorship in software engineering at Sofia University. His expertise, international collaborations, and leadership roles highlight his significant influence in both academia and industry.

Profile

Orcid

Education

Prof Dr. Bontchev holds a doctorate in parallel processing from the Bulgarian Academy of Sciences. He further expanded his knowledge through specialization in prominent European universities, where he gained exposure to advanced computing environments and emerging technologies. This academic foundation enabled him to pursue innovative directions in both industrial applications and university-level teaching, ensuring a strong link between theoretical understanding and real-world practice.

Experience

Prof Dr. Boyan Bontchev began his career as a software engineer and project manager in private companies located in several European countries, gaining hands-on experience in diverse cultural and technical environments. Later, he established himself as the managing director of Bonea Ltd., where he oversaw strategic software projects. His role as a professor of software engineering at Sofia University complements this industrial background, as he combines practical leadership with teaching, mentoring, and guiding research initiatives.

Research Interest

Prof Dr. Boyan Bontchev research is centered on adaptive e-learning platforms, serious games, computer architectures, and semantic web technologies. He has played leading roles in both national and international projects, contributing to innovation in educational software systems and interactive digital solutions. His ability to integrate academic research with industrial applications has made him a valuable collaborator and thought leader in advancing digital learning technologies and computing methods.

Award

Prof Dr. Bontchev has been invited to deliver talks at many European scientific conferences, reflecting recognition from his peers for his expertise and contributions. His active involvement in significant research initiatives and continuous innovation in educational technology have earned him professional respect and acknowledgment in both academic and professional communities.

Publication Top Notes

Teachers’ Views on STEM Education in Bulgaria: A Qualitative Survey
Authors: Elena Paunova-Hubenova, Boyan Bontchev, Valentina Terzieva, Yavor Dankov
Journal: Education Sciences

Raising Awareness of Climate Heritage Resilience and Vulnerability by Playing Serious Video Games
Authors: Boyan Bontchev, Valentina Terzieva, Luciano De Bonis, Rossella Nocera, Dessislava Vassileva, Giovanni Ottaviano
Journal: Applied Sciences

How to Tailor Educational Maze Games: The Student’s Preferences
Authors: Valentina Terzieva, Boyan Bontchev, Yavor Dankov, Elena Paunova-Hubenova
Journal: Sustainability

Personalization of Serious Games for Learning
Authors: Bontchev, B.P., Terzieva, V., Paunova-Hubenova, E.
Journal: Interactive Technology and Smart Education

“Let Us Save Venice”—An Educational Online Maze Game for Climate Resilience
Authors: Boyan Bontchev, Albena Antonova, Valentina Terzieva, Yavor Dankov
Journal: Sustainability

Conclusion

Prof Dr. Boyan Bontchev embodies the successful fusion of industry expertise and academic scholarship. His contributions to adaptive learning, serious gaming, semantic technologies, and computer systems demonstrate a career committed to innovation and progress. As both a leader in private enterprise and a professor shaping future generations, he continues to impact the fields of software engineering and digital education at both national and international levels.

Mr. Hussm Rostum | Computer Science | Best Researcher Award

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Mr. Hussm Rostum | Computer Science | Best Researcher Award

Miskolc University, Institute of Automation and Info-communication, Hungary.

Hussam Rostum is a PhD candidate and researcher at the University of Miskolc in Hungary, specializing in computer vision for autonomous drone navigation. With a strong background in telecommunications and electronics, he blends academic excellence with hands-on experience as a part-time software engineer at FIEK. Hussam is known for developing cutting-edge solutions in industrial automation, biomedical imaging, and human–machine interfaces. Fluent in Arabic and English, he brings international insight into interdisciplinary research projects, merging software innovation with engineering systems.

Profile

Scopus
Orcid
Google Scholar

🎓 Education

Hussam holds a BSc and MSc in Telecommunication and Electronic Engineering, equipping him with deep theoretical and practical knowledge in signal processing, system design, and electronics. Currently, he is pursuing a PhD in Information Science at the University of Miskolc, focusing on AI-based vision systems for autonomous drone operations.

💼 Experience

Hussam serves as an Assistant Researcher and Part-time Software Engineer at FIEK, where he builds C# monitoring software, implements PLC-to-PC communications, and automates data workflows using Linux, Docker, and Excel. His professional journey includes work as a Full Stack Developer and Telecom Engineer, with experience in GUI development, DevOps collaboration, and .NET technologies.

🔬 Research Interests

📸 Computer Vision & Image Processing

🤖 Autonomous Systems & Drone Navigation

🩺 Biomedical Imaging & Oxygen Saturation Estimation

🔬 Optical System Design (Zemax)

⚙️ Industrial Automation & Data Visualization

🧠 Human–Machine Interfaces & Sensor Integration

📚 Selected Publications

Enhancing Machine Learning Techniques in VSLAM for Robust Autonomous Unmanned Aerial Vehicle Navigation
📅 2025-04-02 | 📰 Electronics
📌 Focus: Improving Visual SLAM with machine learning for UAVs in complex environments.
🔗 DOI: 10.3390/electronics14071440
👥 Co-author: József Vásárhelyi

Comparing the Effectiveness and Performance of Image Processing Algorithms in Face Recognition
📅 2024-05-22 | 📚 Conference Paper
📌 Focus: Evaluation of various image processing techniques for face recognition applications.
🔗 DOI: 10.1109/ICCC62069.2024.10569864
👥 Co-author: József Vásárhelyi

FPGA Implementation in Mobile Robot Applications: State of the Art Review
📅 2023-12-20 | 📰 Multidiszciplináris Tudományok
📌 Focus: Overview of FPGA-based systems in robotics.
🔗 DOI: 10.35925/j.multi.2023.2.21
👥 Co-authors: Omar M. Salih, Noha Hammami

An Overview of Energies Problems in Robotic Systems
📅 2023-12-14 | 📰 Energies
📌 Focus: Challenges in energy management for robotic systems.
🔗 DOI: 10.3390/en16248060
👥 Co-authors: József Vásárhelyi, Omar M. Salih, Rabab Benotsname

A Review of Using Visual Odometry Methods in Autonomous UAV Navigation in GPS-Denied Environments
📅 2023-12-01 | 📰 Acta Universitatis Sapientiae, Electrical and Mechanical Engineering
📌 Focus: Use of visual odometry for UAVs in GPS-denied settings.
🔗 DOI: 10.2478/auseme-2023-0002
👥 Co-author: József Vásárhelyi

 

 

 

 

Mr. Jiandong Ma | Computer Science | Best Researcher Award

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Mr. Jiandong Ma | Computer Science | Best Researcher Award

Chinese Academy of Sciences, China.

Jiandong Ma is a talented engineer specializing in signal and information processing, with expertise in FPGA development and network engineering. He is currently working on cutting-edge projects in the field of RDMA NIC and multipath SD-WAN, leading teams to achieve groundbreaking advancements in data transmission and network performance. With several patents to his name, Jiandong has demonstrated a strong commitment to innovation in network technologies. His contributions have positioned him as a promising figure in the area of network engineering.

Profile

Orcid

Education 🎓

Jiandong Ma completed his Ph.D. in Signal and Information Processing at the University of Chinese Academy of Sciences (UCAS), where he specialized in electronic, electrical, and communication engineering. His doctoral research was conducted under the National Network New Media Engineering Research Center at the Institute of Acoustics, CAS. His academic journey is characterized by his pursuit of innovative solutions in the field of network engineering, focusing on cutting-edge technologies such as RDMA NICs and network performance optimization.

Prior to his Ph.D., Jiandong earned his Bachelor's degree in Network Engineering from the University of Electronic Science and Technology of China (UESTC). As part of the Yingcai Honors College of UESTC, he demonstrated exceptional academic performance, ranking highly in his class. His undergraduate studies laid the foundation for his deep interest in signal processing and network systems, which would later drive his successful research career.

Experience 🛠

FPGA - Out-of-Order (OOO) RDMA NIC (Present)
Team Leader
Jiandong led a team to develop a high-speed RDMA NIC supporting out-of-order packets via Xilinx ERNIC IP, achieving improved WQE transmission performance under multipath scenarios. This innovation has been applied for patents.

FPGA - Packet Reordering and Deduplication System (Completed)
Team Leader
Developed a packet reordering and deduplication system for SD-WAN, reducing space usage by 20% and achieving a throughput of 100 Gbps. The project is patented.

FPGA - Deep Flow Table (Completed)
Developed an exact match table with millions of entries using DDR, implementing flexible entry space management and accelerating performance with on-chip table cache.

DPDK - DDoS Filter Unit and SDN Switch Multi-Core Performance Optimization (Completed)
Optimized SDN switch performance and developed a method to filter DDoS traffic through IP whitelists and TTL values. The innovation has been patented.

Research Interests 🔬

Network Performance Optimization:
Jiandong Ma's primary research interest is in network performance optimization, where he has contributed significantly to the development of advanced solutions such as high-performance RDMA NICs. His work focuses on enhancing data transmission rates and reducing latency, particularly in complex network environments.

RDMA NIC Development:
One of Jiandong's notable innovations is the development of RDMA NICs that support out-of-order packets. This innovation improves WQE transmission performance in multipath scenarios, demonstrating his expertise in high-speed data transmission technologies.

Packet Reordering and Deduplication Systems:
Jiandong has also worked on developing packet reordering and deduplication systems, which are vital in improving the efficiency and throughput of SD-WAN networks. His solutions have led to reductions in space usage and higher data transmission speeds, addressing critical challenges in wide-area networking.

SDN Switch Performance Optimization:
Another key area of Jiandong’s research involves the optimization of SDN switch performance. He focuses on multi-core performance optimization and DDoS traffic filtering through advanced methods like IP whitelists and TTL values, enhancing network security and reliability.

Flow Control and DDoS Traffic Filtering:
Jiandong is also passionate about designing solutions that improve flow control and network security. His work in DDoS traffic filtering aims to protect networks from malicious attacks while ensuring seamless data flow, making his contributions invaluable to the field of network management and security.

Publications 📚

SSPRD: A Shared-Storage-Based Hardware Packet Reordering and Deduplication System for Multipath Transmission in Wide Area Networks - SCI, accepted

ORNIC: A High-Performance RDMA NIC with Out-of-Order Packet Direct Write Method for Multipath Transmission - SCI, accepted