Hussein Alabdally | Computer Science | Best Researcher Award

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.

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

 

 

 

 

Panjit Musik | Computing science | Best Researcher Award

🌟Assoc Prof Dr. Panjit Musik. Computing science, Best Researcher Award🏆

Associate Professor at Panjit Musik walailak university, Thailand

Assoc. Prof. Dr. Panjit Musik, born on July 4, 1961, is a distinguished academic in the fields of Physics, Computational Science, and Smart Farming. He currently teaches at the School of Science, Walailak University in Thailand. His academic journey and professional accomplishments reflect a commitment to advancing education and research in scientific and technological innovations.

Author Metrics

Scopus Profile

Dr. Musik has authored numerous research papers published in international and national journals, contributing significantly to the fields of Physics, Computational Science, and Smart Farming. His works are frequently cited, reflecting his influence in these research areas.

Panjit Musik is associated with Walailak University in Tha Sala, Thailand. His academic profile on Scopus shows a modest yet emerging research output, with 4 documents and 5 citations, resulting in an h-index of 1.

Education

Dr. Musik earned his Doctor of Philosophy in Computational Science from Walailak University in 2005. He holds a Master of Science in Teaching Physics from Chiang Mai University, obtained in 1990, and a Bachelor of Education in Physics from Thaksin University, completed in 1983. This strong educational foundation underpins his extensive research and teaching career.

Research Focus

Dr. Musik’s research interests are diverse and interdisciplinary, encompassing Physics Teaching, Real-Time Physics Labs, Computational Modeling and Simulation, and Smart Farming. His work aims to integrate technological advancements with educational practices to enhance learning outcomes and develop innovative solutions for agricultural challenges.

Professional Journey

Dr. Musik’s professional journey began with a focus on physics education and has evolved to include computational modeling and smart farming technologies. He has developed numerous computer-based experimental sets and simulations, contributing to both academic and practical advancements in his fields of expertise.

Honors & Awards

Throughout his career, Dr. Musik has received several accolades for his contributions to science and education. His innovative work in developing experimental sets and integrating computational methods in education has been recognized by academic and professional institutions.

Publications Noted & Contributions

Dr. Musik has published extensively in international journals such as the Turkish Online Journal of Educational Technology and the International Journal on Smart Sensing and Intelligent Systems. His publications address key issues in computational physics, real-time experimental learning, and smart farming technologies, contributing to the academic discourse and practical applications in these areas.

Development of a Computer-Based Simple Pendulum Experiment Set for Teaching and Learning Physics

Authors: Sukmak, W., & Musik, P.
Journal: International Journal on Smart Sensing and Intelligent Systems, 2021, 14(1), pp. 1–8
Citations: 1

Abstract: This article presents the development of a computer-based experiment set designed to enhance the teaching and learning of physics through a simple pendulum experiment. The set aims to provide real-time data acquisition and analysis, making physics concepts more accessible and engaging for students. The development process, implementation, and educational benefits are discussed in detail.

Development of an Automated Water Management System in Orchards in Southern Thailand

Author: Musik, P.
Journal: International Journal on Smart Sensing and Intelligent Systems, 2020, 13(1), pp. 1–7
Citations: 2

Abstract: Dr. Musik explores the design and implementation of an automated water management system tailored for orchards in southern Thailand. This system leverages smart sensing technologies to optimize water usage, ensuring efficient irrigation and enhancing crop yields. The article details the system’s components, operational mechanisms, and the positive impact on orchard management.

Development of Computer-Based Experiment Set on Simple Harmonic Motion of Mass on Springs

Author: Musik, P.
Journal: Turkish Online Journal of Educational Technology, 2017, 16(4), pp. 1–11
Citations: 1

Abstract: This study describes the creation of an experimental set for investigating the simple harmonic motion of a mass on a spring. The set integrates computer-based tools to facilitate real-time data collection and visualization, aiming to improve students’ understanding of oscillatory motion through interactive and hands-on learning experiences.

Large-Scale Simulation Using Parallel Computing Toolkit and Server Message Block

Authors: Musik, P., & Jaroensutasinee, K.
Journal: WSEAS Transactions on Mathematics, 2007, 6(2), pp. 369–372
Citations: 1

Abstract: This paper discusses a large-scale simulation approach using a parallel computing toolkit and server message block. The simulation targets complex mathematical models, enhancing computational efficiency and accuracy. The authors highlight the methodology, computational framework, and potential applications in scientific research.

These articles reflect Dr. Panjit Musik’s extensive work in developing innovative educational tools and applying computational methods to solve practical problems in agriculture and physics education. His research contributes significantly to enhancing teaching methodologies and improving resource management in various domains.

Research Timeline

Dr. Musik’s research timeline spans over three decades, beginning with his master’s research in 1990 on computer control of humidity in experimental greenhouses. His doctoral research in 2005 focused on large-scale water flow simulation using Mathematica. In the years following, he has conducted numerous studies on integrating remote sensing data, developing computer-based experiments, and smart farming solutions.

Collaborations and Projects

Dr. Musik has collaborated with various researchers and institutions on projects aimed at developing innovative educational tools and smart farming technologies. His projects include the development of watershed and hydrologic process modeling for flood forecasting, automated water management systems in orchards, and GIS applications for agricultural water management.

Contributions to the Field

Dr. Musik’s contributions to the field include the development of computer-based experimental sets for physics education, large-scale simulations for environmental modeling, and smart farming technologies. His work has provided valuable insights and practical tools for educators, researchers, and farmers, advancing both academic knowledge and real-world applications.