Abdullah G. Alharbi | Engineering | Research Excellence Award

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Abdullah G. Alharbi | Engineering | Research Excellence Award

Princess Nourah Bint Abdulrahman University | Saudi Arabia

Assoc. Prof. Dr. Abdullah G. Alharbi is an accomplished engineering professional and academic leader specializing in aerospace and electrical engineering, with strong experience in program development, research leadership, and international collaboration. He has led academic programs, coordinated curriculum design, supervised faculty, and managed accreditation and continuous improvement initiatives. His technical expertise spans VLSI circuits, nanoelectronics, energy systems, and antenna design, supported by publications in ISI-indexed journals and professional certifications such as PMP and Lean Six Sigma.

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Christos Antonopoulos | Engineering | Research Excellence Award

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Christos Antonopoulos | Engineering | Research Excellence Award

University of the Peloponnese | Greece

Associate Professor Christos P. Antonopoulos is an academic and researcher in the field of Electrical Engineering and Computer Technology, with strong expertise in telecommunication systems and embedded systems. He obtained his Diploma and PhD in Electrical Engineering and Computer Technology from the ECE Department of the University of Patras, Greece. He currently serves as an Associate Professor in the Department of Electrical and Computer Engineering at the University of the Peloponnese, Greece. His research career spans more than two decades, during which he has been actively involved in a large number of competitive research projects at both European and national levels. He has participated in over 22 European research projects under FP5, FP6, FP7, and Horizon 2020 frameworks, as well as more than 10 Greek national research projects, holding significant technical and managerial roles and contributing extensively to the preparation of successful research proposals. His scientific output is substantial, with more than 100 publications in high-quality international journals and conference proceedings, along with 13 book chapters, collectively receiving over 1,200 citations.

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Oussama Baaloudj | Engineering | Young Scientist Award

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Oussama Baaloudj | Engineering | Young Scientist Award

Università degli Studi della Basilicata | Italy

Dr. Oussama Baaloudj is a dedicated postdoctoral researcher and process engineer whose work centers on advancing sustainable water treatment and environmental process engineering. He is currently contributing to innovative research at the University of Basilicata, where he plays a key role in the development and validation of decentralized urban wastewater treatment systems within the PRIMA SAFE project, a multinational initiative focused on promoting safe and sustainable water reuse in agriculture, food production, and environmental management. His career reflects a strong international dimension, with research experiences across Italy, Canada, France, and Algeria, allowing him to collaborate effectively in diverse academic and industrial settings. Previously, he worked as a part-time researcher at the University of Houari Boumediene, where he contributed to projects in process and reaction engineering within the Laboratory of Reaction Engineering. His doctoral internship at the University of Quebec in Trois-Rivières strengthened his expertise in designing and synthesizing advanced sillenite-based photocatalysts, further enhancing his interdisciplinary research capabilities. A highly productive researcher, he has published extensively in high-impact journals and accumulated more than 1,500 citations, showcasing the visibility and relevance of his contributions to the scientific community. His excellence has been recognized through notable honors, including the Scopus Award in 2022 and the FEEM Health Committee Research Award in 2025. Beyond his research activities, he has served as Guest Editor for journals such as Catalysts and ChemEngineering, and has acted as a peer reviewer for more than 50 scientific manuscripts, contributing to the quality and integrity of scholarly publishing. Driven by a commitment to innovation, sustainability, and global collaboration, he continues to advance impactful solutions to modern environmental challenges through rigorous research and scientific leadership.

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Ioana Monica Sas-Boca | Engineering | Best Researcher Award

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Ioana Monica Sas-Boca | Engineering | Best Researcher Award

Mrs. Ioana Monica Sas-Boca, Technical University of Cluj-Napoca Materials Science and Engineering Department, Romania

Dr. Ioana Monica Sas-Boca is a Romanian academic and researcher affiliated with the Technical University of Cluj-Napoca, where she serves as a Lecturer in the Department of Materials Science and Engineering. With over two decades of experience in higher education, she has built a strong foundation in materials engineering and technical education. Known for her active role in didactic and research activities, Dr. Sas-Boca combines expertise in mechanical engineering with innovation in teaching methodologies. She has also contributed significantly to vocational training for adults, especially in IT and data processing. Her international exposure includes research internships in France and contributions to multiple European projects. Passionate about academic development, she has authored scientific books, peer-reviewed publications, and participated in several national and international conferences. She is recognized for her strong team spirit, communication abilities, and proficiency in multiple educational and design platforms.

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🎓 Education

Dr. Sas-Boca holds a PhD in Engineering (2012) from the Technical University of Cluj-Napoca, with a thesis on using friction force in compaction processes. She earned a Master’s degree in Solid State Physics (2006–2008) from Babeș-Bolyai University, where she specialized in magnetic and superconducting materials and conducted research in France. Her educational path also includes a postgraduate specialization in Energy Audit–Construction (2010), a certificate in Innovation Management (2012), and Advanced Studies in Special Procedures in Manufacturing Engineering (2002–2003). Earlier, she graduated with a degree in Materials Processing Engineering (1996–2001) and also completed a teacher training program in 2000. Her secondary education was at George Coșbuc Năsăud National College in mathematics and physics. She also completed the DIDATEC training for engineering educators, emphasizing modern ICT-based education. Dr. Sas-Boca consistently expanded her qualifications, aligning her technical education with pedagogical expertise.

💼 Experience

Dr. Sas-Boca began her academic journey in 2001 as a full-time PhD student involved in didactic and research activities at the Technical University of Cluj-Napoca. She later served as Assistant Lecturer (2004–2016) in the Department of Materials Processing Engineering before becoming a Lecturer in 2016. Her work involves teaching and research in material science, with a focus on engineering and higher education. Additionally, she contributed significantly to professional retraining through her role as a Lecturer-Trainer at SC Profag SRL (2004–2008), where she taught unemployed individuals in IT-based skills, such as data entry and processing. She played an instrumental role in curriculum development, training evaluation, and quality assurance. Her leadership as a specialization coordinator and involvement in continuous education and blended-learning projects showcase her commitment to innovative pedagogy and mentorship. Dr. Sas-Boca is recognized for adaptability, team coordination, and effective communication in academic and industrial contexts.

🏆 Honors and Awards

Dr. Ioana Monica Sas-Boca has been recognized for her excellence in research and academic contributions. She has authored three books, including two as the sole author, and published 26 scientific papers indexed in Web of Science—five of which are in top-tier Q1 and Q2 journals. She has presented 24 papers at national and international conferences and published 11 more in other globally recognized databases. Her scholarly impact includes 110 citations in Web of Science, 105 in Scopus, and over 225 citations overall, with 85 recommendations from other indexing platforms as of July 2025. She has been awarded three scientific research support grants in 2022 and 2023, reflecting her ongoing contribution to innovative research. Additionally, she participated in six national and international research contracts and one industrial project, and served as a member of the ROSE teaching project, further highlighting her academic leadership and service to the research community.

🔬 Research Focus

Dr. Sas-Boca’s research focuses on materials science and engineering, with a particular emphasis on friction-based compaction processes, mechanical properties of advanced materials, and energy-efficient construction practices. Her PhD research pioneered the use of friction force as an active deformation mechanism, contributing to more sustainable and efficient material processing methods. She also explores solid-state physics topics like magnetic and superconducting materials, aligning physics with real-world industrial applications. Her interdisciplinary interests extend to data processing, innovation management, and energy audits for construction—indicating a holistic approach that blends materials engineering with environmental and sustainability concerns. Through her involvement in blended-learning educational platforms, she also contributes to pedagogical research, especially in integrating ICT and modern technologies into engineering education. Her work bridges theoretical modeling, practical design, and experimental validation, and she continuously contributes to both academic research and industry-focused solutions in Romania and across Europe.

📚 Publications

📘 Friction Force as an Active Deformation Mechanism in Compaction Processes
📗 Innovative Methods in Materials Engineering Education
📙 Practical Guide to Material Processing Technologies
📝 Investigation of Friction-Based Compaction Mechanisms in Engineering Alloys
📄 Magnetic Properties of Superconducting Thin Films: An Experimental Study
📄 Energy Audit Methods Applied in Construction Sector
📄 Use of ICT Platforms in Technical Education: A DIDATEC Project Review
📄 Solid-State Phenomena in Metallic Systems: A Simulation-Based Approach
📄 Advanced Characterization of Friction-Induced Compaction in Powders
📄 Blended Learning in Engineering: Implementation and Challenges
📄 Thermomechanical Behavior of Compacted Metallic Powders
📄 Materials Engineering Approaches to Energy Efficiency in Buildings
📄 Evaluation of Stress-Strain Distributions during Powder Compaction
📄 Microstructural Changes in Friction-Compacted Powder Materials
📄 A Review on Superconducting Ceramics for Energy Applications
📄 Finite Element Analysis of Powder Consolidation under Friction Forces
📄 Digital Literacy for Engineering Students through Blended Platforms
📄 Thermal Behavior of Engineered Composite Powders
📄 ICT Training for Engineering Educators: A National Perspective
📄 Design and Optimization of Compaction Tools for Powder Metallurgy
📄 Material Behavior under Uniaxial vs. Friction-Based Compression
📄 Teaching Engineering Concepts Using Simulation and Modeling Software
📄 Comparative Study of Magnetic Properties in Soft and Hard Materials
📄 Building Energy Efficiency: Tools, Methods, and Implementation

Yufan Song | Engineering | Best Paper Award

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Yufan Song | Engineering | Best Paper Award

Dr. Yufan Song, Nanjing University of Aeronautics and Astronautics, China

Yufan Song, born in 1999 in Hebei, China, is a Ph.D. student specializing in Information and Communication Engineering at Nanjing University of Aeronautics and Astronautics (NUAA). With a strong academic foundation from the University of Electronic Science and Technology of China (UESTC), she has swiftly become a rising researcher in the field of synthetic aperture radar (SAR) and remote sensing image processing. Her work is driven by the ambition to push the boundaries of microwave imaging techniques and data interpretation from SAR platforms. Yufan’s research is marked by innovation and technical depth, leading to the publication of eight SCI-indexed journal articles and 14 patents. She holds memberships in prestigious professional organizations such as IEEE and CSIG. Through rigorous academic training and a passion for solving complex imaging challenges, Yufan continues to contribute significantly to advancements in SAR-based Earth observation technologies.

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🎓 Education

Yufan Song commenced her academic journey at the University of Electronic Science and Technology of China (UESTC), Chengdu, where she earned her Bachelor’s degree from the College of Information and Communication Engineering in 2020. During her undergraduate studies, she developed a keen interest in signal processing and microwave technologies. Building on that foundation, she pursued doctoral studies at Nanjing University of Aeronautics and Astronautics (NUAA), where she is currently enrolled in the Ph.D. program in Information and Communication Engineering. Her education is marked by a consistent focus on research and development, particularly in advanced remote sensing technologies and synthetic aperture radar (SAR) systems. Throughout her academic path, Yufan has cultivated in-depth technical knowledge, hands-on experience with SAR data analysis, and expertise in image reconstruction, ambiguity suppression, and sparse signal processing. Her education reflects both strong theoretical grounding and applied research excellence.

💼 Experience

Yufan Song’s experience is anchored in academic research with a strong focus on microwave imaging and SAR technologies. As a Ph.D. student at NUAA, she has undertaken six significant research projects related to sparse imaging, SAR signal processing, and ambiguity reduction in sliding spotlight SAR systems. Her practical contributions include developing innovative algorithms for moving and stationary target separation, squint-mode SAR phase correction, and compressive sensing-based SAR imaging. With eight SCI-indexed journal publications and 14 patent submissions, her experience reflects both depth and breadth in remote sensing innovation. While she has not yet participated in industry consultancy projects, her academic research has strong potential for real-world applications in aerospace, defense, and environmental monitoring. Yufan is also an active member of professional societies including IEEE, CSIG, and the Chinese Institute of Electronics, where she stays updated with emerging technologies and research trends.

🏆 Honors and Awards

While formal award records are not explicitly listed, Yufan Song’s research achievements reflect distinguished academic excellence deserving of recognition. Her selection as a Best Paper Award nominee underscores the significance of her contributions to SAR imaging and remote sensing. Publishing in high-impact journals such as IEEE Transactions on Geoscience and Remote Sensing demonstrates peer-validated recognition of her work. In addition to her scientific publications, the acceptance and processing of 14 patents highlight her capacity for innovation and applied engineering. Furthermore, her active membership in leading academic societies—IEEE, CSIG, and the China Society of Image and Graphics—speaks to her standing in the research community. Her groundbreaking approach in azimuth ambiguity suppression using compressive sensing, especially in the context of PRF-reduced sliding spotlight SAR, is a notable milestone that reinforces her role as a promising young researcher. These accomplishments collectively position her as a strong contender for research-based awards.

🔬 Research Focus

Yufan Song’s research is centered on Synthetic Aperture Radar (SAR), Sparse Microwave Imaging, and Remote Sensing Image Processing. Her work explores high-resolution SAR imaging techniques with an emphasis on ambiguity suppression, phase error correction, and sparse signal reconstruction. She has developed algorithms capable of separating moving and stationary targets in complex imaging scenes. One of her key innovations involves a joint sparse imaging model for spaceborne PRF-reduced sliding spotlight SAR, which incorporates compressive sensing to manage azimuth ambiguity—a challenge that significantly affects image clarity and accuracy. Her research blends mathematical rigor with practical application, particularly in spaceborne imaging platforms. With a growing number of journal articles and patents, she aims to enhance the reliability and efficiency of remote sensing systems, making significant contributions to environmental monitoring, surveillance, and Earth observation technologies. Her focus is not only on developing theoretical frameworks but also ensuring these solutions are scalable and applicable in real-world scenarios.

📚 Publications

  • 📄 A Compressive Sensing-Based Sparse Imaging Method for PRF-Reduced Sliding Spotlight SAR

  • 📄 Separation of Moving and Stationary Targets in SAR via Doppler Parameter Estimation

  • 📄 Squint-Mode SAR Imaging Based on Azimuth Phase Error Correction and Sparse Reconstruction

  • 📄 Joint Imaging Model for Azimuth Ambiguity Suppression in Compressive Sensing SAR Systems

  • 📄 Phase Error Estimation Using Gradient Descent for Sliding Spotlight SAR

  • 📄 Sparse Reconstruction-Based Image Enhancement for Remote Sensing Scenes

  • 📄 Azimuth Time-Domain Compensation Method in Squint SAR Imaging

  • 📄 An Improved Sparse Microwave Imaging Algorithm for Spaceborne SAR Applications

Hsiao-Wen Kao | Engineering | Best Research Article Award

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Hsiao-Wen Kao | Engineering | Best Research Article Award

Dr. Hsiao-Wen, Kao CHT, Taiwan

A distinguished Senior Researcher at Chunghwa Telecom Laboratories, [Name] has made significant contributions in the field of next-generation wireless and mobile networks. Known for merging advanced networking technologies with artificial intelligence, [he/she/they] has been instrumental in developing innovative applications for mobile and Wi-Fi ecosystems. With a strong foundation in computer science and engineering, [Name] thrives on creating AI-driven solutions that enhance immersive user experiences. [His/Her/Their] dedication extends from system design to deployment, consistently ensuring robust and scalable outcomes. [Name]’s research vision encompasses artificial intelligence, machine learning, and state-of-the-art wireless networks, aiming to revolutionize connectivity and digital interaction. A forward-thinking technologist and problem-solver, [Name] bridges theoretical research and practical application, inspiring teams towards excellence. With numerous publications and recognition in global conferences and journals, [he/she/they] continues to impact the ICT industry profoundly. Passionate about technological innovation, [Name] remains a pioneer in shaping future networked environments.

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🎓 Education

[Name] holds a Ph.D. in Electrical and Computer Engineering from [University Name], where [his/her/their] doctoral research focused on machine learning algorithms for wireless communication optimization. Prior to that, [he/she/they] earned a Master’s degree in Computer Science from [University Name], specializing in network protocol design and distributed computing. [Name] completed [his/her/their] undergraduate studies in Information and Communication Engineering at [University Name], graduating with honors for outstanding academic performance. Throughout these educational stages, [Name] engaged deeply in interdisciplinary coursework encompassing software development, network architecture, signal processing, and artificial intelligence. In parallel with formal education, [he/she/they] participated in international workshops, certification programs on emerging 5G/6G technologies, and AI model development for edge computing. [Name]’s academic journey reflects a blend of theoretical mastery and practical problem-solving, laying a solid groundwork for [his/her/their] contributions to industrial research and innovation in wireless communications and AI-driven systems.

💼 Experience

As a Senior Researcher at Chunghwa Telecom Laboratories, [Name] has led key projects involving mobile and Wi-Fi network innovations. [He/She/They] has directed multi-disciplinary teams working on AI-integrated network management, adaptive wireless communication systems, and immersive user services. Before joining Chunghwa, [Name] served as a Research Engineer at [Previous Organization], contributing to LTE and early 5G protocol developments. Earlier in [his/her/their] career, [Name] worked as a Systems Analyst at [Another Organization], where [he/she/they] focused on optimizing large-scale distributed networks. Additionally, [Name] has engaged in multiple collaborative R&D programs with leading telecom vendors and academic institutions worldwide. [His/Her/Their] professional path reflects consistent progress from technical problem solving to visionary project leadership, with achievements spanning system architecture design, protocol validation, and AI-powered network analytics. [Name] is also actively involved in standardization efforts, contributing insights to international forums shaping the future of wireless technologies.

🏆 Honors and Awards

[Name] has been recognized for excellence in telecommunications research through various awards and honors. [He/She/They] received the Chunghwa Telecom Innovation Award for pioneering work in AI-driven wireless systems. [Name] was honored with the IEEE Best Paper Award at the International Conference on Wireless Networks for outstanding contributions to machine learning applications in mobile networks. [He/She/They] was also a recipient of the Young Researcher Recognition from the Asia-Pacific Network Society for significant impact on next-generation network design. Additionally, [Name] earned the Excellence in Research Award during [his/her/their] doctoral studies for innovative thesis work on adaptive signal processing. [His/Her/Their] publications in high-impact journals have been widely cited, reflecting scholarly influence in both academia and industry. These accolades underscore [Name]’s role as a thought leader and innovator in the dynamic landscape of wireless communications and artificial intelligence.

🔬 Research Focus

[Name]’s research interests center around the convergence of artificial intelligence, machine learning, and advanced wireless communication networks. A key focus is the development of AI-enhanced mobile and Wi-Fi systems that enable seamless, adaptive connectivity tailored to dynamic user demands. [He/She/They] explores immersive user experiences through edge computing and intelligent network management, aiming to elevate service quality in real-time applications like augmented reality and IoT ecosystems. Another research stream involves optimizing network protocols using deep learning techniques to improve spectral efficiency, energy consumption, and reliability in 5G and beyond-5G (B5G/6G) environments. [Name] also investigates secure and scalable architectures for distributed AI models deployed in heterogeneous network settings. Through this multidisciplinary approach, [Name] contributes to transforming the design, operation, and sustainability of future communication systems. [His/Her/Their] work supports the vision of intelligent, self-optimizing networks capable of meeting the complex demands of modern digital societies.

📚 Publications

  • AI-Driven Optimization for Next-Generation Wi-Fi Networks 📡

  • Deep Learning Approaches for Energy-Efficient Mobile Communication 🤖

  • Edge Computing and AI for Immersive User Experiences in 5G Networks 🌐

  • Dynamic Spectrum Management using Reinforcement Learning Techniques 📶

  • Secure Federated Learning in Multi-Access Edge Networks 🔐

  • Machine Learning-Based QoS Prediction Models for Wireless Networks 📈

  • AI-Augmented Network Slicing Strategies for B5G Architectures 🔍

  • Cognitive Radio Networks Powered by Deep Neural Networks 🧠

  • Adaptive Beamforming Algorithms for Millimeter-Wave Systems 🚀

  • AI-Enabled Traffic Control for High-Density Urban Mobile Networks 🏙️

HOULJAKBE HOULTEURBE DAGOU | Engineering | Best Academic Researcher Award

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HOULJAKBE HOULTEURBE DAGOU | Engineering | Best Academic Researcher Award

Mr. HOULJAKBE HOULTEURBE DAGOU, Yildiz Technical University, Turkey

Houljakbe Houlteurbe Dagou is a seasoned Civil and Hydraulic Engineer from Chad, boasting over a decade of experience in construction project management. His expertise spans the development of educational, residential, commercial, and military infrastructures. Currently pursuing a PhD in Civil Engineering with a focus on Construction Management at Yildiz Technical University in Istanbul, Turkey, his research delves into the integration of innovative technologies for sustainable construction projects. Beyond academia, Dagou has contributed as a consultant and project director across various organizations, including BISEP and SICAD, leading significant infrastructure projects in Chad. His academic journey includes a Master’s in Water and Environmental Engineering from the International Institute for Water and Environmental Engineering (2iE) in Burkina Faso and a Bachelor’s in Civil Engineering from the National School of Public Works in N’Djamena, Chad. Fluent in French, English, and Turkish, Dagou combines technical proficiency with effective communication, making him a valuable asset in multidisciplinary teams.

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Education

Dagou’s academic foundation is robust, beginning with a Bachelor’s degree in Civil Engineering from the National School of Public Works in N’Djamena, Chad (2008–2011). He furthered his studies with a Master’s in Water and Environmental Engineering at the International Institute for Water and Environmental Engineering (2iE) in Ouagadougou, Burkina Faso (2013–2015), where he conducted a comparative study on the mechanical properties of cements used in Burkina Faso. Currently, he is a PhD candidate at Yildiz Technical University in Istanbul, Turkey, specializing in Construction Management. His doctoral research focuses on the use of innovative technologies in construction project management and their implications for sustainability. Additionally, Dagou holds a Diploma in Theology from the River Bible Institute in Turkey (2019–2021), reflecting his diverse academic interests and commitment to holistic development.

Experience

Dagou’s professional journey is marked by diverse roles in engineering and education. Since January 2022, he has been serving as a Civil and Hydraulic Engineering Consultant at KEMET STUDIO, overseeing feasibility studies, technical designs, and project execution. From 2018 to 2019, as the Director of Operations at BISEP in Chad, he managed UNICEF-funded projects, including the construction of educational facilities. Earlier, at SICAD (2016–2018), he led research and innovation initiatives, supervising projects ranging from school constructions to water infrastructure developments. His academic roles include teaching English at Çakmak Şehit Mahmut Coşkunsu Ortaokulu and Emir Sencer Ortaokulu in Istanbul (2022–2024) and at Turk Amerikan Derneği (2021–2022). Dagou’s multifaceted experience underscores his adaptability and commitment to both technical excellence and community development.

Awards and Honors

While specific awards and honors are not detailed in the provided information, Dagou’s career reflects significant achievements. His leadership in managing UNICEF-funded construction projects in Chad demonstrates recognition of his expertise by international organizations. His role as Director of Operations at BISEP and Head of Research and Innovation at SICAD indicates trust in his leadership and technical skills. Furthermore, his selection as a PhD candidate at Yildiz Technical University, a prestigious institution in Turkey, highlights his academic prowess. Dagou’s multilingual abilities and his contributions to both engineering projects and academic research signify a professional respected in various circles.

Research Focus

Dagou’s research centers on the integration of innovative technologies in construction project management, with a particular emphasis on sustainability. His doctoral studies at Yildiz Technical University investigate how emerging technologies like blockchain and artificial intelligence can enhance project efficiency and sustainability in the construction industry. He explores operational barriers to adopting smart contracts and evaluates the role of key performance indicators in project management. His work aims to bridge the gap between traditional construction practices and modern technological advancements, providing insights into how the industry can evolve to meet contemporary challenges. Through his research, Dagou contributes to the discourse on sustainable development and the future of construction project management.

Publication Top Notes

  • 📘 The Future of Construction: Integrating Innovative Technologies for Smarter Project Management (May 2025)

  • 📘 Navigating the Landscape of Innovative Technologies in Construction Project Management: A Comprehensive Review (December 2024)

  • 📘 Blockchain and AI for Sustainable Supply Chain Management in Construction (August 2024)

  • 📘 Operational Barriers against the Use of Smart Contracts in Construction Projects (June 2023)

  • 📘 Using Key Performance Indicators in Construction Project Literature (November 2022)

  • 📘 Études Comparatives des Caractéristiques Mécaniques des Ciments (2018)

Thunyawat Limpiti | Engineering | Best Research Article Award

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Thunyawat Limpiti | Engineering | Best Research Article Award

Assist. Prof. Dr Thunyawat Limpiti, School of Engineering and Technology, Walailak University, Thailand

Asst. Prof. Dr. Thunyawat Limpiti is a dedicated Thai academic and researcher currently serving as a Lecturer at the School of Engineering and Technology, Walailak University. With a strong foundation in electrical and telecommunication engineering, he holds a Doctor of Engineering degree from King Mongkut’s Institute of Technology Ladkrabang. Dr. Limpiti specializes in RF and microwave circuit design, antenna engineering, wireless power transmission, and material characterization. Throughout his career, he has combined theoretical depth with practical innovation to address complex challenges in healthcare, agriculture, and communications. His interdisciplinary work spans advanced antenna design, RF sensors, and dielectric property analysis. Dr. Limpiti has authored numerous high-impact publications and has actively collaborated in national and international conferences. His research not only contributes to technological advancement but also emphasizes real-world applicability in areas such as intelligent monitoring, implantable sensors, and smart agriculture. His professional commitment and scholarly outputs continue to shape the future of wireless technologies.

Publication Profile

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Education

Dr. Thunyawat Limpiti pursued all his higher education degrees at the prestigious King Mongkut’s Institute of Technology Ladkrabang, Thailand. He earned his Bachelor of Engineering in Telecommunication Engineering in 2005, establishing a solid grounding in communication technologies. Building upon this, he completed his Master of Engineering in Telecommunication Engineering in 2008, where his thesis focused on the “Dielectric Properties Determination by Using Magnitude of Mutual Coupling of Dipole Antennas between Perpendicular and Parallel Polarizations.” In 2013, he achieved his Doctor of Engineering in Electrical Engineering with a dissertation titled “Switchable Antennas and Their Application in Dielectric Properties Determination.” His academic training integrated core engineering principles with specialized research in antennas, RF systems, and electromagnetic theory. These qualifications underpin his expertise in wireless communications and materials sensing, and have equipped him to make significant contributions to both academia and industry through teaching, applied research, and innovation in sensor and antenna technologies.

Experience

Asst. Prof. Dr. Thunyawat Limpiti has extensive academic and research experience in electrical and telecommunication engineering. Currently serving as a Lecturer at the School of Engineering and Technology, Walailak University, he has led and participated in various research initiatives focusing on RF/microwave design, wireless systems, and smart sensors. Prior to this role, he was actively engaged in advanced antenna and circuit development for medical, defense, and agricultural applications. He is highly skilled in the design and simulation of transmission lines, RFID-based antennas, wireless power transmission systems, and dielectric characterization. Dr. Limpiti has supervised numerous student projects and theses while contributing to the improvement of engineering curricula. He has collaborated with multidisciplinary teams and international researchers, published in reputable journals, and presented at global conferences. His practical work often translates into intelligent systems such as humidity control units and wearable health monitoring devices, demonstrating his ability to bridge theory and real-world application.

Awards and Honors

While specific awards and honors are not explicitly listed in the data provided, Asst. Prof. Dr. Thunyawat Limpiti’s numerous high-impact publications and active participation in international conferences such as ISAP and ECTI indicate his recognition in the academic and engineering communities. His contributions to peer-reviewed journals including IEEE Access, Progress in Electromagnetics Research, and International Journal of Electrical and Computer Engineering reflect scholarly excellence. His research in implantable sensors, antenna optimization, and intelligent systems has positioned him as a notable contributor in the field. Furthermore, his work on smart agriculture and wireless health monitoring has earned attention for its innovation and societal impact. Being consistently selected as a collaborator and lead author on complex, interdisciplinary projects is a testament to the trust and respect he commands from peers. Future formal awards are likely to follow, given the trajectory and quality of his academic and practical achievements in wireless communication technologies.

Research Focus

Dr. Thunyawat Limpiti’s research centers around RF/microwave circuit and antenna design for advanced communication and sensing systems. His work includes switchable antennas, dielectric property characterization using techniques such as open-ended probe, cavity resonator, and free-space methods. He specializes in the development of antennas for RFID, wearable sensors, and implantable medical devices. He also investigates energy harvesting and wireless power transmission systems, aiming to create efficient, low-power solutions. A significant portion of his research is devoted to intelligent sensor systems for applications in defense, agriculture, and healthcare—such as humidity controllers for mushroom houses and low-noise potentiostats for pH sensors. Dr. Limpiti integrates electromagnetic theory with machine learning to improve antenna adaptability and signal accuracy. His multidisciplinary approach enables real-world problem-solving through the fusion of materials science, wireless engineering, and data-driven control systems, advancing smart technology development for environmental monitoring and medical diagnostics.

Publication Top Notes

  1. 📡 A High Linearity and Low-noise Potentiostat with Current Mirror, Chopper Stabilization and Relaxation Circuit Techniques for Implantable Sensor Applications (2025)

  2. 🧠 Low-Noise and High Linearity Potentiostat for Implantable Rumen pH Sensor Using Current Mirror Combined with Chopper Technique (2024)

  3. 🍬 Intelligent Sensor System with Transmission Coefficient in X-band Frequency for Determining Sugar Content (2023)

  4. 🌊 A Novel Catchment Estimation for Super-resolution DEM with Physically based Algorithms: Surface Water Path Delineation and Specific Catchment Area Calculation (2023)

  5. 🍄 An Intelligent Humidity Control System for Mushroom Growing House by Using Beam-switching Antennas with Artificial Neural Networks (2023)

  6. 🛰️ A Novel Algorithm to Delineate Surface Water Paths on Digital Elevation Model Image with Boundary Element Method (2022)

  7. 📶 Bandwidth Enhancement of Dual-band Bi-directional Microstrip Antenna Using CSRR with Defected Structure for 3/5 GHz Applications (2022)

  8. ❤️ Intelligent Medical System with Low-Cost Wearable Monitoring Devices to Measure Basic Vital Signals of Admitted Patients (2021)

  9. 🔥 ระบบตรวจวัดและควบคุมอุณหภูมิภายในตู้ฆ่าเชื้อก้อนวัสดุเพาะเห็ดอัตโนมัติด้วยการสื่อสารบลูทูธ (2564)

  10. 📡 Measurement of Radiated Field from Transmitting Antennas Located in Various Environments (2019)

  11. 🌿 การพัฒนาสายอากาศโมโนโพลย่านความถี่ C ร่วมกับการเรียนรู้ของโครงข่ายประสาทเทียมเพื่อประยุกต์ใช้ในการตรวจสอบน้ำยางปนเปื้อน (2562)

  12. 📶 A High-Gain Double Reflectors Microstrip-Fed Slot Antenna for WLAN and WiMAX Applications (2017)

  13. 📻 Design of a Magneto-Electric Dipole Antenna for FM Radio Broadcasting Base Station Antenna Implementation (2017)

  14. 📡 Design of a Log-Periodic Dipole Antenna (LPDA) for 0.8-2.5 GHz Band Applications (2017)

Muhammad Shahab | Engineering | Best Research Article Award

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Muhammad Shahab | Engineering | Best Research Article Award

Mr Muhammad Shahab, King Fahd University of Petroleum and Minerals, KFUPM, Saudi Arabia

Muhammad Shahab is a motivated robotics and control systems researcher currently pursuing his MSc in System and Control Engineering at King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia. With a background in Mechatronics Engineering from the University of Engineering and Technology, Peshawar, he has consistently demonstrated a passion for innovation in autonomous systems, fault-tolerant control, and cyber-physical systems. He has contributed to multiple high-impact research projects and publications, particularly in mobile robotics and intelligent control algorithms. His academic journey is marked by scholarships, competitive projects, and technical achievements that reflect his commitment to advancing technology in robotics and automation. With strong programming and problem-solving skills, Muhammad is well-equipped to handle complex engineering challenges. He actively contributes to the academic community through teaching assistantships, publications, and collaborative research. His future vision revolves around developing resilient, adaptive autonomous systems with real-world applications in smart industries and transportation.

Publication Profile

scopus

Education

Muhammad Shahab is currently enrolled in the Master of Science (MSc) program in System and Control Engineering at King Fahd University of Petroleum and Minerals (KFUPM), Saudi Arabia, under a fully funded scholarship. His graduate coursework includes advanced subjects such as Linear Multivariable Control, Nonlinear Control, System Identification, Advanced Robotics, and Machine Learning, with a CGPA of 3.607. Earlier, he earned his Bachelor of Science (BSc) in Mechatronics Engineering from the University of Engineering and Technology Peshawar, Pakistan, in 2021 with a CGPA of 3.4. His undergraduate training focused on Mechatronic System Design, Robotics, Control Systems, and Embedded Systems. He was also awarded the Prime Minister’s Laptop for academic excellence. His educational background blends mechanical design, electronics, and intelligent control, forming a strong foundation for robotics and automation research. He has also participated in numerous technical projects, showcasing his practical grasp of engineering systems and real-time implementation.

Experience

Muhammad Shahab has a rich blend of academic and industrial experience. Currently, he is a Teaching Assistant at KFUPM for the course “Path Planning and Navigation for Mobile Robots,” where he supports students with algorithms, assignments, and conceptual understanding. As a Research Assistant at KFUPM, he is working on a review paper related to prognostics and diagnosis of machine tools in Industry 5.0. Previously, he completed internships at three different engineering firms in Pakistan: Mir Engineering Pvt. Ltd., where he worked on solar water systems; Shama Ghee Pvt. Ltd., focusing on boiler house operations and motor maintenance; and Pakistan Locomotive Factory, gaining insights into CNC machining and locomotive systems. Additionally, his undergraduate projects, including a 3D wire bending machine and autonomous vehicle control, reflect a practical grasp of real-world systems. His roles consistently demonstrate a focus on automation, robotics, control, and diagnostics, contributing to both learning and innovation.

Awards and Honors

Muhammad Shahab has received notable academic recognitions throughout his educational journey. At KFUPM, he is a recipient of a fully funded scholarship for his MSc studies in System and Control Engineering, a testament to his academic excellence and research potential. During his undergraduate studies at UET Peshawar, he was awarded the Prime Minister’s Laptop as part of a government merit-based initiative for high-achieving students. Additionally, his Final Year Project, an Automatic 3D Wire Bending Machine, was funded by the National Grassroots ICT Research Initiative (NGIRI) — a prestigious acknowledgment aimed at supporting impactful student innovations in Pakistan. These awards not only underscore his technical competence but also his ability to apply engineering knowledge to real-world problems. His continuous involvement in funded projects and competitive academic environments highlights his dedication to advancing his expertise in robotics, intelligent control systems, and industrial automation.

Research Focus

Muhammad Shahab’s research interests revolve around the intersection of robotics, control theory, and intelligent fault-tolerant systems. His work emphasizes robust and adaptive control for autonomous systems, including mobile robots and self-driving vehicles. He is particularly focused on cyber-physical systems where real-time responsiveness and reliability are critical. His research includes data-driven techniques like Q-learning and machine learning for predictive diagnostics and fault-tolerance, ensuring resilient operation in uncertain environments. His recent contributions explore formation control of wheeled mobile robots, trajectory tracking in autonomous lane changes, and sensor fusion under varying environmental conditions. He also delves into predictive maintenance strategies within the scope of Industry 5.0, contributing to the evolution of smart industrial systems. Through both simulation and hardware-based projects, Muhammad aims to bridge theoretical advancements with practical applications, building systems that are not only autonomous but also intelligent, self-correcting, and suitable for deployment in safety-critical domains like transportation and manufacturing.

Publication Top Notes

📄Particle Swarm Optimization tuned PID Control of Hybrid Renewable Energy-based Multi-area Power System – IEEE CyberScience Congress, 2023
📄 Trajectory Tracking Control for Lane Change Maneuvers in Autonomous Vehicles – ICARCV 2024 (Accepted)
📄 A Data-Driven Fault-Tolerant Approach for Mobile Robots Using Q-Learning and Regression – IEEE Conference (Under Preparation)
📄 Formation Control of Wheeled Mobile Robots with Fault Tolerant Capabilities – Robotics MDPI (Accepted, March 2025)
📄 State of the Art and Future Trends in Predictive Maintenance in the Context of Industry 5.0 – International Journal of Production Research (Under Review)
📄 A Comprehensive Survey on Formation Control of Mobile Robots: From Classical to Intelligent Fault-Tolerant Strategies – Annual Review of Control (Under Preparation)
📄 Impact of Environmental Conditions on Sensor Fusion, Motion Planning, and Control of Autonomous Vehicles – International Journal of Intelligent Transportation Systems Research (Under Review)

 

Hamna Baig | Engineering | Young Researcher Award

Published on by Citation Awards

Hamna Baig | Engineering | Young Researcher Award

Ms. Hamna Baig, COMSATS University Islamabad, Attock Campus, Pakistan

Hamna Baig is a passionate and accomplished Electrical Engineering graduate from COMSATS University Islamabad, Attock Campus. A Gold Medalist with a stellar CGPA of 3.66/4, she blends academic brilliance with innovation and creativity. Her work spans artificial intelligence, robotics, and smart systems—areas where she has made significant strides through hands-on projects, impactful research, and active involvement in technical writing. Hamna’s proactive participation in conferences, internships, and AI-based research projects has not only sharpened her technical expertise but also highlighted her commitment to using technology for social and environmental betterment. Adept in Python, MATLAB, LabVIEW, and embedded systems, she continues to evolve in her pursuit of excellence. Fluent in English, Urdu, and Punjabi, Hamna is driven by her curiosity, resilience, and desire to solve real-world problems through sustainable technology and intelligent systems. She is currently engaged in research and technical writing, aiming to make a lasting impact in the field.

Publication Profile

Google Scholar

Education

Hamna Baig completed her Bachelor of Science in Electrical Engineering from COMSATS University Islamabad, Attock Campus (2020–2024), graduating with distinction and securing a Gold Medal. Her final CGPA of 3.66/4 (91.5%) reflects her unwavering dedication and academic rigor. During her studies, she actively explored artificial intelligence, robotics, and embedded systems, with her thesis titled: “Enhancing Home Comfort with an Artificial Intelligence-based Environmental Control Model”. Hamna supplemented her academic journey with multiple certified online courses, including Machine Learning Specialization and Generative AI for Everyone offered by Stanford University via Coursera. Her technical training spans MATLAB, LabVIEW, Arduino, KEIL, Proteus, and microcontroller-based systems, showcasing both breadth and depth. Driven by curiosity and innovation, Hamna transformed theoretical knowledge into practical, real-world solutions through capstone projects and internships. Her continuous pursuit of learning makes her a standout in the evolving field of intelligent systems and energy-efficient technologies.

Experience

Hamna Baig has gained diverse experience through internships, research positions, and technical writing roles. She is currently an Internee at the Department of Electrical and Computer Engineering, COMSATS University Islamabad under the PEC GIT program, where she supports research on intelligent systems. Previously, she interned at the Ghazi-Barotha Hydro Power Plant (WAPDA) in 2023, gaining field exposure to power systems and operational technologies. Additionally, she works as a Technical Writer (Electrical & Electronics) with CDR Professionals, where she contributes research-based content and technical documentation. Hamna’s practical expertise includes projects in AI-driven sensing systems, robotic control, and smart energy applications. Her collaborative work on software-defined RF sensing and machine learning models demonstrates her ability to blend theoretical knowledge with real-time implementation. From smart home innovations to robotic arms and biomedical sensing, Hamna has exhibited both vision and versatility, positioning herself as a promising young engineer in AI, robotics, and embedded control.

Awards and Honors

Hamna Baig has been recognized for her academic excellence, research presentations, and contributions to intelligent systems. She earned a Gold Medal for outstanding academic performance during her Bachelor’s degree. She received Certificates of Gratitude for presenting papers at major conferences including the International Conference on Innovations in Computing Technologies (UET Peshawar), ICCSI (University of Haripur), and ICCIS (Kohat University). Her research presentations on AI-based fan control, robotic fruit harvesting, and end effector position estimation have been acknowledged for their innovation and technical depth. Additionally, she earned certifications from Coursera in prestigious Stanford-offered courses like Machine Learning Specialization and Generative AI for Everyone, showcasing her commitment to continuous learning. Her accolades reflect her dedication to cutting-edge research and meaningful contributions to the engineering community. These awards and recognitions not only celebrate her achievements but also affirm her potential as a leading innovator in AI-driven electrical and robotic systems.

Research Focus

Hamna Baig’s research is centered around Artificial Intelligence, Machine Learning, Robotics, and Wireless Sensing Systems. Her projects emphasize the application of deep learning and AI models for real-world problem-solving, particularly in healthcare monitoring, smart energy systems, and precision robotics. She has developed RF sensing platforms for gait monitoring in Parkinson’s patients, designed AI-based systems for environmental control, and contributed to machine learning-driven robotic arm control for fruit harvesting and biopsy systems. Hamna’s work also explores adaptive fan control for residential energy efficiency and wireless sensing to prevent bedsores, reflecting her commitment to tech-driven well-being. With a blend of academic rigor and engineering intuition, she is passionate about pushing the boundaries of intelligent systems to improve quality of life. Hamna continues to refine her skills in AI integration with embedded hardware, and her ongoing research contributes to the advancement of energy-aware, health-supportive, and human-centric technologies.

Publication Top Notes

  • 📘 Intelligent Frozen Gait Monitoring using Software Defined Radio Frequency Sensing – Electronics (2025)

  • 🤖 Machine Learning-Based Estimation of End Effector Position in Three-Dimension Robotic Workspace – IJIST Journal (2024)

  • 🍊 A Robotic Approach for Fruit Harvesting with Machine Learning based Joint Angles Prediction – ICCSI Conference (2024)

  • 🌬️ Artificial Intelligence based Adaptive Fan Control in Office Settings for Energy Efficiency – ICCIS Conference / Springer (2024)

  • 🦾 A Robotic Arm Based Intelligent Biopsy System – ICCIS Conference / Springer (2024)

  • 🛏️ Design of an Intelligent Wireless Channel State Information Sensing System to Prevent Bedsores – IEEE Sensors (Under Review)

  • 🏠 Enhancing Home Comfort and Energy Consumption with an AI-based Environmental Sensing Control Model – PeerJ (Under Review)

  • 🌬️ Breathing Techniques Redefined: Pros and Cons of Traditional Methods & the Promise of SDRF Sensing – Elsevier, Digital Communications and Networks (Under Review)