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

 

 

 

 

Prof. Dan Meng | Engineering | Best Researcher Award

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Prof. Dan Meng | Engineering | Best Researcher Award

Qingdao Agricultural University, China.

Dan Meng is a Professor at Qingdao Agricultural University, specializing in cement-based composite materials. As a Master's supervisor and a council member of the Qingdao Xihaian New District Society for Civil Engineering Investigation and Design, his research focuses on the multi-scale performance of cement and geopolymer-based materials and their functionalized applications. With over 60 academic publications, 30+ patents, and several awards, he has made significant contributions to civil engineering and material science.

Profile

Scopus

🎓 Education

Prof. Dan Meng is currently a Visiting Scholar at Western Sydney University. With a strong academic and professional background in civil engineering, he has made significant contributions to the field, particularly in structural engineering and construction materials. As a dedicated member of the Chinese Society for Civil Engineering, Prof. Meng actively participates in research collaborations, technical discussions, and knowledge exchange initiatives aimed at advancing the discipline. His expertise and commitment to innovation continue to influence both academia and industry, fostering sustainable and resilient infrastructure development.

💼 Experience

Professor Dan Meng is a distinguished faculty member at Qingdao Agricultural University, where he plays a pivotal role in advancing civil engineering education and research. As a Council Member of the Qingdao Xihaian New District Society for Civil Engineering Investigation and Design, he actively contributes to the development of engineering standards and best practices. With a strong research portfolio, he has successfully led 17 completed and ongoing research projects, addressing critical challenges in civil engineering. Additionally, his expertise extends to industry and consultancy, where he has been involved in 12 impactful projects, bridging the gap between academia and practical engineering solutions.

🔬 Research Interests

Cement-Based Composite Materials 🏗️

Geopolymer-Based Materials 🔬

Multi-Scale Performance of Construction Materials 📏

Functionalized Applications of Cementitious Materials

🏆 Awards & Achievements

🏅 Second Prize – Science & Technology Progress (Department & Bureau Level)

🏅 Second Prize – Humanities & Social Sciences (Shandong Provincial University Level)

🏅 Second Prize – Social Sciences (Qingdao Level)

📚 Publications

Experimental and Molecular Dynamics Simulation Study on Sulfate Corrosion Resistance of Cellulose-Nanocrystal-Modified ECC

Authors: L. Yu, X. Xu, S. Ni, X. Meng, B. Xu

Journal: Applied Sciences (Switzerland), 2025

Focus: Investigates sulfate corrosion resistance in engineered cementitious composites (ECC) modified with cellulose nanocrystals using experimental and molecular dynamics simulations.

Citations: 0

Study on Improving the Performance of Engineered Cement-Based Composites by Modifying Binder System and Polyethylene Fiber/Matrix Interface

Authors: Q. Fan, Y. Zheng, D. Meng, Y. Liu, H. Wu

Journal: Colloids and Surfaces A: Physicochemical and Engineering Aspects, 2025

Focus: Enhances ECC performance through binder system modification and fiber/matrix interface improvements.

Citations: 1

 

 

Dr. Xiuling Wang | Molecular biology | Best Researcher Award

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Dr. Xiuling Wang | Molecular biology | Best Researcher Award

Shandong University, China.

Dr. Xiuling Wang is a researcher at the State Key Laboratory of Microbial Technology, Shandong University. Her expertise lies in DNA editing technology, focusing on the mining, modification, and biosynthesis of microbial natural products. She completed her master’s and doctoral studies under Prof. Jun Fu at Shandong University, following her undergraduate research at Shandong Agricultural University under Prof. Binghai Du, where she investigated plant-rhizosphere growth-promoting bacteria.

Profile

Scopus

📚 Education

Dr. Xiuling Wang holds a Ph.D. in Molecular Biology from Shandong University, where she further advanced her expertise in the biological sciences. She also earned a Master’s degree in Microbial Technology from Shandong University, deepening her understanding of the practical applications of microorganisms. Dr. Wang's academic journey began with a Bachelor's degree in Agricultural Sciences from Shandong Agricultural University, laying the foundation for her career in research. Her work focuses on the intersection of molecular biology, microbial technology, and agricultural sciences, contributing to advancements in these fields.

💼 Experience

Dr. Xiuling Wang is a dedicated researcher at the State Key Laboratory of Microbial Technology, Shandong University, where she explores cutting-edge advancements in microbial science. She is also actively involved in the National Key Research & Development Program of China (2018YFA0900400), contributing to innovative research initiatives aimed at addressing critical scientific and industrial challenges. Her expertise in molecular biology and microbial technology positions her at the forefront of groundbreaking developments in these fields.

🔬 Research Interests

Molecular Biology

DNA Editing & Recombinant Systems

Microbial Natural Product Biosynthesis

Silent Gene Cluster Activation

🏆 Awards & Achievements

Principal Investigator in a National Key Research & Development Program of China

Two China Invention Patents (Application No: 202411054594.4 & CN202411058039.9)

Discovered a novel lipopeptide (Plantariitin A) with anti-inflammatory properties

📄 Publications

A recombineering system for Bacillus subtilis based on the native phage recombinase pair YqaJ/YqaK
Q. Liu, R. Li, H. Shi, Y. Zhang, J. Fu, X. Wang, Engineering Microbiology, 2023.

Genomics-Driven Discovery of Plantariitin A, a New Lipopeptide in Burkholderia plantarii DSM9509
Xiuling Wang, Zhuo Zhang, Jun Fu, Ruijuan Li
Molecules, 2025, 30(4), 868
DOI: 10.3390/molecules30040868

 

 

Assoc. Prof. Dr. Riccardo Sacco | Mathematical Modeling in Medicine | Best Researcher Award

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Assoc. Prof. Dr. Riccardo Sacco | Mathematical Modeling in Medicine | Best Researcher Award

Icahn School of Medicine at Mount Sinai Hospital New York, United States.

Riccardo Sacco is an Italian mathematician and engineer based in New York, USA. He is currently an Associate Scientist at the Icahn School of Medicine, Mount Sinai Hospital, with over two decades of expertise in numerical analysis, computational modeling, and applied mathematics. Riccardo has published extensively, mentoring numerous students and contributing significantly to research in ophthalmology and engineering applications.

Profile

Orcid

🎓 Education

Assoc. Prof. Dr. Riccardo Sacco is a distinguished academic and researcher with expertise in electronic engineering and applied mathematics. Holding a combined B.Sc./M.Sc. in Electronic Engineering from Politecnico di Milano (1989) and a Ph.D. in Applied Mathematics from Università degli Studi di Milano (1993), he has significantly contributed to the field through innovative research and teaching. Following his doctoral studies, Dr. Sacco pursued post-doctoral fellowships at CNR and Università degli Studi di Milano (1993–1995), further advancing his knowledge in applied mathematics. Currently, he serves as an Associate Professor, sharing his expertise and fostering the next generation of engineers and mathematicians.

💼 Experience

Assoc. Prof. Dr. Riccardo Sacco has built a remarkable academic and professional career, blending teaching, research, and global collaboration. Since 2024, he has served as an Associate Scientist at the Icahn School of Medicine, Mount Sinai Hospital in New York, USA, where he contributes to groundbreaking research in applied mathematics and computational methods. Prior to this role, he spent over two decades at Politecnico di Milano (PoliMi), serving as an Associate Professor of Numerical Analysis from 2001 to 2024, and earlier as an Assistant Professor in Numerical Analysis from 1995 to 2001.

Dr. Sacco’s academic journey is enriched by several international appointments as a Visiting Scientist, including at AT&T Bell Labs (1990), Georgia Tech (2003), Université de Strasbourg (2015), and North Carolina State University (2018). These experiences reflect his commitment to advancing numerical analysis and fostering global scientific collaboration.

🔬 Research Interests

Numerical Analysis and Computational Modeling: Application in engineering, medicine, and electronics

Ophthalmology: Modeling aqueous humor dynamics and intraocular pressure

Multi-physics and Multi-scale Problems: Nano-bio-electronics and semiconductor modeling

🏆 Awards and Honors

2010: Co-author of the Most Downloaded Article in Computer Methods in Applied Mechanics and Engineering

2001: Featured in Who’s Who in the World, 18th Edition

📚 Selected Publications

Reduced-Order Model for Cell Volume Homeostasis: Application to Aqueous Humor Production
Mathematical and Computational Applications
2025-01-24 | Journal Article
Contributors: Riccardo Sacco, Greta Chiaravalli, Giovanna Guidoboni, Anita Layton, Gal Antman, Keren Wood Shalem, Alice Verticchio, Brent Siesky, Alon Harris

Reduced-Order Model for Cell Volume Homeostasis: Application to Aqueous Humor Production
Preprint
2024-12-19
Contributors: Riccardo Sacco, Greta Chiaravalli, Giovanna Guidoboni, Anita Layton, Gal Antman, Keren Wood Shalem, Alice Verticchio, Brent Siesky, Alon Harris

The Role of Conventional and Unconventional Adaptive Routes in Lowering Intraocular Pressure: Theoretical Model and Simulation
Physics of Fluids
2023-06-01 | Journal Article
Contributors: Riccardo Sacco, Greta Chiaravalli, Gal Antman, Giovanna Guidoboni, Alice Verticchio, Brent Siesky, Alon Harris

Nanoparticle-Based Retinal Prostheses: The Effect of Shape and Size on Neuronal Coupling
Photonics
2022-09-29 | Journal Article
Contributors: Greta Chiaravalli, Guglielmo Lanzani, Riccardo Sacco

Corrections to “Cardiovascular Function and Ballistocardiogram: A Relationship Interpreted via Mathematical Modeling”
IEEE Transactions on Biomedical Engineering
2020-10 | Journal Article
Contributors: Giovanna Guidoboni, Lorenzo Sala, Moein Enayati, Riccardo Sacco, Marcela Szopos, James M. Keller, Mihail Popescu, Laurel Despins, Virginia H. Huxley, Marjorie Skubic