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)

 

Ibna Kawsar | Engineering | Excellence in Citation Achievement Award

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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)

Ismail Fidan | Engineering | Innovative Research Award

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Ismail Fidan | Engineering | Innovative Research Award

Dr Ismail Fidan, Tennessee Tech University, United States

Dr. I. Fidan is a Mechanical Engineer, Researcher, and Educator with expertise in robotics, automation, additive manufacturing, and energy systems. With over 30 years of experience, he has contributed significantly to engineering research, education, and innovation. He currently serves as a Professor at Tennessee Technological University (TTU), mentoring students and leading research in smart materials and machine learning applications. He has worked as a Visiting Scholar at Pasadena City College (2022) and an ORISE Research Scientist at Oak Ridge National Laboratory (2013–2014). Dr. Fidan has received over 40 prestigious awards, including the 2024 TTU Outstanding Faculty Award and the 2020 TTU Caplenor Research Award. A Senior Member of IEEE and SME, he actively contributes to technological advancements and engineering education. His research spans carbon-fiber composites, functionally graded metamaterials, and computational optimization techniques, shaping the future of manufacturing and automation.

Publication Profile

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Education 🎓

Dr. I. Fidan earned his Ph.D. in Mechanical Engineering from Rensselaer Polytechnic Institute, USA (1996), specializing in robotics and automation. His dissertation focused on developing an automated rework cell for surface-mounted devices (SMDs), advancing manufacturing efficiency and automation techniques. Prior to that, he completed his M.Sc. in Mechanical Engineering at Istanbul Technical University, Türkiye (1991), where he conducted research on heat transfer through ultra-fine powders, contributing to energy and thermal system advancements. He obtained his B.Sc. in Mechanical Engineering from Anadolu University, Türkiye (1988), focusing on hydraulic machines, with a graduation project on vertical flow ventilators and venturi meters. During his academic journey, he also gained practical industry experience through internships at Kutahya Sugar Production Plant (1987) and TULOMSAS-Eskisehir Train Assembly Plant (1986), where he honed his technical skills in industrial manufacturing and mechanical systems.

Experience

Dr. I. Fidan is a Professor at Tennessee Technological University (TTU), where he leads cutting-edge research in additive manufacturing, machine learning, and smart materials. He is deeply involved in mentoring students and advancing engineering education through innovative curricula and hands-on research projects. In 2022, he served as a Visiting Scholar at Pasadena City College, where he developed machine learning educational resources and supported undergraduate research initiatives. From 2013 to 2014, Dr. Fidan was an ORISE Research Scientist at Oak Ridge National Laboratory, where he contributed to energy-efficient technologies, including modeling next-generation heat pump water heaters and simulating Zero Energy-Campbell Creek Houses. Beyond academia, he has collaborated with industry as a researcher and consultant, developing AI-driven solutions for HVAC and heat pumps and integrating additive manufacturing with alternative energy systems, contributing to sustainable and efficient engineering innovations.

Awards & Honors

Dr. I. Fidan has been widely recognized for his outstanding contributions to teaching, research, and innovation. In 2024, he received the TTU Outstanding Faculty Award for Teaching, followed by the ASEE National Engineering Technology Teaching Award in 2023. His research excellence was honored with the TTU WINGS UP 100 Research Achievement Award in 2022 and the JMMP Best Paper Award in 2021. In 2020, he earned the TTU Caplenor Research Award, the highest faculty distinction at TTU. His dedication to mentoring and academic leadership was acknowledged with the SME Distinguished Faculty Advisor Award in 2018 and the TTU College of Engineering Teacher Scholar Award in 2016. Dr. Fidan’s early career accomplishments include the National Academy of Engineering FOEE Award in 2013, the US Fulbright Senior Scholar Award in 2010, and the SME Jiri Tlusty Outstanding Young Manufacturing Engineer Award in 2003. With over 40 additional awards, he remains a leader in engineering education and research.

Research Focus

Dr. Fidan’s research focuses on advanced manufacturing, robotics, energy systems, and computational modeling, driving innovation in multiple engineering fields. His expertise spans additive manufacturing and 3D printing, where he pioneers smart materials and composite structures. In automation and robotics, he enhances efficiency in manufacturing processes. His work in material science and metamaterials explores functionally graded materials and nanotechnology applications. Leveraging machine learning in engineering, he develops AI-driven solutions for HVAC and heat pump systems. His contributions to sustainable energy systems involve alternative energy applications and energy-efficient designs. Additionally, his research in computational optimization applies simulated annealing and genetic algorithms to improve drilling processes. Through interdisciplinary collaborations, Dr. Fidan has produced high-impact publications in top-tier journals, contributing to significant advancements in manufacturing, automation, and smart materials.

Publication Top Notes

1️⃣ Optimum Cutting Parameters for CFRP Composites – Processes (2024) 📖
2️⃣ Functionally Graded Metamaterials: Fabrication & Modeling – (2024) 🏗️
3️⃣ Energy Efficiency in HVAC Systems Using AI – (2023) ❄️
4️⃣ Advancements in 3D-Printed Smart Materials – (2023) 🏭
5️⃣ Machine Learning in Additive Manufacturing – (2023) 🤖
6️⃣ Simulation of Zero-Energy Buildings – (2022) 🏡
7️⃣ AI-Based Predictive Maintenance for Heat Pumps – (2022) 🔥