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

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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

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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