Mr. Hussm Rostum | Computer Science | Best Researcher Award

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

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. Charles Reitman | Medicine and Dentistry | Best Researcher Award

Dr. Charles Reitman | Medicine and Dentistry | Best Researcher Award

MUSC Health University Medical Center, United States.

Dr. Charles A. Reitman is a distinguished orthopedic surgeon specializing in spine surgery with decades of experience in medical education, research, and patient care. He has held prestigious academic positions and received numerous awards for his contributions to orthopedic and spinal surgery. Dr. Reitman is widely recognized for his expertise in minimally invasive spine techniques, spinal trauma, and disc arthroplasty.

Profile

Scopus

Orcid

🎓 Education

Charles A. Reitman, MD, pursued his undergraduate studies at the University of California, Davis, earning a BS in Animal Physiology (1974-1978). He then completed a BS and Certificate in Physical Therapy at UCSF, San Francisco (1978-1979), which provided him with foundational expertise in rehabilitation and movement sciences. Dr. Reitman later obtained his MD in Medicine from Baylor College of Medicine (1991-1995), where he developed a strong foundation in clinical practice and surgical techniques. Following medical school, he specialized in orthopedic surgery through a residency at Baylor College of Medicine (1995-2000), refining his skills in musculoskeletal care. To further specialize, he completed a fellowship in Orthopedic Surgery Spine at Baylor College of Medicine (2000-2001), gaining advanced training in complex spinal procedures.

🏥 Experience

Dr. Charles A. Reitman has had a distinguished career in orthopedic surgery, with extensive experience in both academic and clinical settings. Since 2015, he has served as a Professor of Orthopaedics at the Medical College of South Carolina, where he contributes to research, education, and advanced spinal surgery techniques. Prior to this, he was a Professor of Orthopedic Surgery at Baylor College of Medicine (2012-2015), mentoring future surgeons and leading innovative surgical advancements. His tenure at Baylor also included roles as an Associate Professor (2007-2012) and Assistant Professor (2001-2007), during which he played a pivotal role in shaping orthopedic residency programs and conducting groundbreaking research in spine surgery.

🔬 Research Interests

Spinal Surgery & Biomechanics

Minimally Invasive Spine Techniques

Disc Arthroplasty & Spinal Trauma

Spinal Deformity & Degenerative Disorders

Orthopedic Surgery Innovations

🏆 Awards & Honors

UC Davis – Highest Honors (1978)

Alpha Omega Alpha Honor Society (1995)

Baylor College of Medicine – Honors (1995)

Most Outstanding Poster – NASS (1999)

Outstanding Orthopedic Faculty, BCM (2004, 2012, 2013, 2014, 2015)

America’s Top Orthopedists (2007, 2010)

Best Doctors (2007, 2008, 2013)

Texas Super Doctors (2009)

Most Compassionate Doctor Award (2010-2016)

Top 10 Doctor (2014)

Elected into American Orthopedic Association (2011)

MUSC Ortho Faculty of the Year (2019, 2023)

Marquis Who’s Who Lifetime Award (2018)

📚 Selected Publications

Establishing case volume benchmarks for ACGME-accredited orthopedic surgery of the spine fellowship trainingSpine J, 2024

Reference Data for Diagnosis of Spondylolisthesis and Disc Space Narrowing Based on NHANES-II X-raysBioengineering (Basel), 2024

Regional structure-function relationships of lumbar cartilage endplatesJ Biomech, 2024

Diagnosis of spine pseudoarthrosis based on biomechanical properties of boneSpine J, 2024

ACR Appropriateness Criteria® Stress (Fatigue-Insufficiency) Fracture Including SacrumJ Am Coll Radiol, 2024