Şahin Tolga Güvel | Engineering | Research Excellence Award

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Şahin Tolga Güvel | Engineering | Research Excellence Award

Osmaniye Korkut Ata Üniversitesi | Turkey

Assist. Prof. Dr. Şahin Tolga Güvel is an Assistant Professor in the Department of Civil Engineering, Project Management Division, at Osmaniye Korkut Ata University. He earned his PhD in Civil Engineering from Çukurova University with a focus on occupational health and safety practices in construction projects, following a master’s degree that examined the mechanical properties of high-strength concrete. His academic and research interests center on construction management, project management, occupational health and safety, and the application of modern technologies such as Building Information Modeling (BIM) in construction processes. He has also supervised graduate-level research, including studies on integrating BIM with material procurement and inventory management in construction projects

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Featured Publications


The level of implementation of occupational health and safety legislation in the Turkish construction sector

– Çukurova University Journal of Engineering-Architecture Faculty, 2018 (Cited by 9)


Diversification of rebar standard lengths and optimization to reduce rebar waste rate

– Gazi University Journal of Engineering and Architecture, 2021 (Cited by 3)


A novel special length rebar order approach based on AI optimization techniques for reduction of rebar cutting waste

– Journal of Construction Engineering, Management & Innovation, 2023 (Cited by 2)

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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Tolera Abdissa Feyissa | Engineering | Most Cited Article Award

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Tolera Abdissa Feyissa | Engineering | Most Cited Article Award

Rostock University | Germany

Mr. Tolera Abdissa Feyissa is an academic and researcher in the field of Hydraulic and Water Resources Engineering with extensive experience in teaching, research, and academic leadership. He has served in higher education for more than a decade, progressing through roles as graduate assistant, assistant lecturer, lecturer, and assistant professor within engineering institutions. His academic work focuses on hydraulics, hydrology, flood and drought risk management, groundwater hydrology, open channel flow, hydraulic structures, and water resources planning and management. He has played a significant role in postgraduate education, including coordinating a Home Grown Postgraduate Program in collaboration with international partners, where he was responsible for organizing research activities, coordinating scholars, and strengthening academic capacity. In addition to teaching undergraduate and postgraduate courses, he has supervised and advised master’s students in hydraulic engineering on a wide range of research topics and has been actively involved in laboratory-based experimental work in hydraulic engineering. He has also contributed to academic administration and research development through leadership roles such as Research and Publication Director, supporting research dissemination and institutional research performance. His teaching portfolio includes core and advanced courses in hydraulics, surface and groundwater hydrology, environmental impact assessment, and water resources systems.

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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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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

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.

Publication Profile

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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

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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

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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

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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)

Ibna Kawsar | Engineering | Excellence in Citation Achievement Award

Published on by Citation Awards

Ibna Kawsar | Engineering | Excellence in Citation Achievement Award

Mr Ibna Kawsar, Chongqing University, China

An emerging researcher in mechanical and vehicle engineering, [Name] currently serves as a Research Assistant at the Vehicle Dynamics and Intelligent Control Lab in Chongqing, China, and a reviewer for Annals of Robotics and Automation. With a strong background in crashworthiness, EV safety, and intelligent vehicle systems, [Name] has authored multiple peer-reviewed publications and contributed to leading journals such as Reliability Engineering & System Safety and Multibody System Dynamics. Their work emphasizes structural innovation and safety performance using advanced simulation techniques like FEA and AI-based optimization. A passionate contributor to the academic community, they are also recognized for their participation in international conferences and their reviewership in robotics and automation. Their growing influence is reflected by Google Scholar metrics with 130 citations, h-index of 3, and i10-index of 1. [Name] continues to push the boundaries of smart mobility and energy-efficient vehicle technologies.

Publication Profile

Google scholar

Education

He earned a Master’s degree in Mechanical and Vehicle Engineering from Chongqing University, China (2022–Present), where they maintained a GPA of 89.40. Their thesis focused on improving side-impact safety of battery pack systems using multi-cell square tube structures and a hybrid MCDM approach. During this research, they successfully reduced deformation by up to 48%, enhancing crashworthiness.
Previously, they completed a Bachelor’s degree in Mechanical Design, Manufacturing, and Automation at Chongqing Jiaotong University (2018–2022), also with a GPA of 89.00. Their undergraduate thesis centered on designing a versatile electric battery lift table for efficient EV battery handling, integrating mechanical durability and equipment design principles.
Their academic training includes strong fundamentals in mechanical theory, machine design, and impact mechanics. Supplementary certifications from MIPT and Udemy further enriched their expertise in material mechanics and CAE tools like Abaqus and Hypermesh.

Experience

Since January 2024, [Name] has served as a Reviewer for Annals of Robotics and Automation, evaluating manuscripts on robotics, automation, and structural optimization. As a Research Assistant at the Vehicle Dynamics and Intelligent Control Lab (Nov 2023–Present), they authored pioneering work on EV battery crashworthiness, achieving a 45% reduction in shell intrusion through FEA, now under review in the European Journal of Mechanics / A Solids.
Additionally, their comprehensive review on EV battery safety, emphasizing mechanical reliability under vibration and collisions, is under review in eTransportation. They have also presented their work at leading automotive conferences including China-SAE and FISITA Intelligent Safety Conference.
Their expertise spans advanced simulation, machine learning, and crash-resistant structural design, contributing to multidisciplinary innovation in autonomous driving, EV safety, and intelligent systems.

Awards and Honors

He has been recognized for academic and research excellence with prestigious awards. In September 2023, they received the Excellence in Energy Development and Environmental Safety Award from the Chongqing Energy Research Society, acknowledging their contribution to sustainable vehicle safety innovations.
In August 2022, they were honored with the China Government Scholarship (CGS) by the China Scholarship Council (CSC), awarded to outstanding students for academic distinction and research potential.
These accolades reflect their dedication to advancing clean and intelligent vehicle technologies.
Additionally, their work has been showcased at major industry events such as the China Society of Automotive Engineers (China-SAE) Conference (Oct 2024) and the FISITA Intelligent Safety Conference (July 2023), underlining their active involvement and recognition within the global research community.

Research Focus

He is research centers on electric vehicle (EV) safety, crashworthiness, intelligent control systems, and structural optimization. Their master’s thesis explores side-impact crash resistance using multi-cell square tube structures, integrating a hybrid Multi-Criteria Decision-Making (MCDM) approach.
They employ Finite Element Analysis (FEA), deep learning, and machine learning tools to enhance the mechanical integrity of EV battery packs under various impact scenarios, such as vibration, collision, and shock.
Beyond structural resilience, they explore data-driven safety enhancement using vehicle multibody dynamics and neural network algorithms.
This multidisciplinary focus bridges mechanical design with smart technologies, targeting real-world safety issues in autonomous driving and energy efficiency. Their contributions aim to redefine vehicle structure optimization for next-gen transportation systems.

Publication Top Notes

  • 📦 Deep-learning-based inverse structural design of a battery-pack system – Reliability Engineering & System Safety (2023)

  • 🚗 Combined recurrent neural networks and particle-swarm optimization for sideslip-angle estimation – Multibody System Dynamics (2024)

  • 🔋 Trajectory optimization of an electric vehicle with minimum energy consumption – Mechanism and Machine Theory (2023)

  • 🚦 Enhanced traffic safety and efficiency via DNN-APF for accelerated lane-change decisions – Measurement (2023)

  • 🛣️ Longitudinal predictive control for vehicle-following collision avoidance in autonomous driving – Sensors (2022)