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.

Publication Profile

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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.

Publication Profile

google scholar

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

google scholar

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)

Oguzhan Yilmaz | Engineering | Best Researcher Award

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Oguzhan Yilmaz | Engineering | Best Researcher Award

Prof. Dr Oguzhan Yilmaz, Gazi University, Turkey

Professor Oğuzhan Yılmaz is a distinguished mechanical engineering expert specializing in machine elements, computer-aided design and manufacturing, and non-traditional manufacturing methods. He is a professor at Gazi University, Turkey, contributing extensively to research and education in advanced manufacturing. He completed his doctorate at the University of Nottingham, UK, further enhancing his expertise in manufacturing engineering and operations management. With a career spanning over two decades, he has held editorial roles in prestigious scientific journals and actively participates in peer reviewing for high-impact publications. His research focuses on innovative and sustainable manufacturing techniques, integrating modern computational tools into engineering solutions. Prof. Yılmaz has received multiple awards for his contributions to research, peer reviewing, and academic leadership. He continues to influence the global engineering community through his editorial work, research collaborations, and mentorship of future engineers. His dedication to advancing mechanical engineering makes him a key figure in the field.

Publication Profile

google scholar

Education

Professor Oğuzhan Yılmaz holds a Doctorate (2002-2006) from the University of Nottingham, UK, where he specialized in Manufacturing Engineering and Operations Management, focusing on advanced production techniques. He completed his Postgraduate studies (1997-1999) at Gaziantep University, Turkey, in the Faculty of Engineering, Department of Mechanical Engineering (English), where he specialized in mechanical system design and material processing. His academic journey began with a Bachelor’s degree (1992-1997) from the same institution, where he built a strong foundation in mechanical systems, machine elements, and computational engineering. With a career spanning international institutions and advanced research in manufacturing and mechanical design, he has demonstrated a strong commitment to innovation, sustainability, and technological advancements in mechanical engineering. His diverse educational background has equipped him with the expertise to contribute significantly to the field of advanced manufacturing and engineering solutions.

Experience

Professor Oğuzhan Yılmaz is a distinguished faculty member at Gazi University, Turkey, where he leads research and teaches courses in mechanical design, manufacturing, and computational engineering. His expertise extends beyond academia, as he plays a significant role in the scientific publishing community, holding editorial positions in SCI-indexed journals, including the Journal of Materials Processing Technology and the International Journal of Advanced Manufacturing Technology. Since 2021, he has been a committee member for the Journal of Additive Manufacturing Technology, contributing to advancements in additive and digital manufacturing. He has also served as Assistant Editor/Section Editor (2017-Present) for Makina Tasarım ve İmalat Dergisi and as First Editor (2015-Present) for the Journal of the Faculty of Engineering and Architecture of Gazi University. Additionally, he collaborates with international institutions to drive innovation in manufacturing technologies and automation, further cementing his influence in the modern engineering landscape.

Awards & Honors

Professor Oğuzhan Yılmaz has received numerous accolades for his outstanding contributions to engineering research, particularly in mechanical design and advanced manufacturing. He has been honored with the Outstanding Contribution to Engineering Research Award for his pioneering studies that have significantly influenced the field. His dedication to academic publishing and peer review has earned him the Top Reviewer Award, recognizing his excellence in evaluating manuscripts for leading SCI-indexed journals. Additionally, he has received the Editorial Excellence Award for his significant contributions to journal editing and manuscript evaluation. His innovative research has been acknowledged with the Best Research Paper Award, highlighting his groundbreaking work in manufacturing technologies. As a dedicated educator, he has also been recognized with the Distinguished Faculty Award, celebrating his exceptional teaching, mentorship, and academic leadership. His achievements underscore his commitment to research innovation, scholarly contributions, and academic excellence in mechanical engineering.

Research Focus

Professor Oğuzhan Yılmaz’s research spans several critical areas in mechanical and manufacturing engineering, with a strong emphasis on innovation and sustainability. His expertise in Machine Elements involves the advanced design and analysis of mechanical components for industrial applications, optimizing performance and durability. He is also deeply involved in Computer-Aided Design and Manufacturing (CAD/CAM), where he integrates software tools to enhance precision engineering and automation. His work in Non-Traditional Manufacturing Methods explores innovative fabrication techniques beyond conventional machining, pushing the boundaries of modern engineering. Additionally, his research in Advanced Manufacturing Technologies focuses on high-precision, cost-effective production methodologies that drive industrial efficiency. With a commitment to Sustainable Engineering Solutions, he develops environmentally friendly and energy-efficient manufacturing processes. His research aims to redefine modern manufacturing by seamlessly integrating automation, sustainability, and precision engineering to meet the evolving demands of the industry.

Publication Top Notes

📜Wire Arc Additive Manufacturing (Metal Inert Gas-Cold Metal Transfer) of ER70S-6: Experimental and Computational Analysis on Process, Microstructure, and Mechanical Property Relationships
🔥 Thermal Behavior in Wire Arc Additive Manufacturing: A Comparative Study of the Conventional Process and Infrared Heater Use
🔬 Surface Characteristics of Additively Manufactured γ-TiAl Intermetallic Alloys Post-Processed by Electrochemical Machining
⚙️ Directed Energy Deposition of PH 13–8Mo Stainless Steel: Microstructure and Mechanical Property Analysis
💡 Enhancement of Surface Characteristics of Additively Manufactured γ-TiAl and IN939 Alloys after Laser Shock Processing
🛠️ Influence of Laser Polishing Process Parameters on Surface Integrity and Morphology of Ti-6Al-4V Parts Produced via Electron Beam Melting
🔍 Electrochemical Machining of Additively Manufactured γ-TiAl Parts: Post-Processing Technique to Reduce Surface Roughness
📏 A Deposition Strategy for Wire Arc Additive Manufacturing Based on Temperature Variance Analysis to Minimize Overflow and Distortion
🔥 The Effect of Evaporation and Recoil Pressure on Energy Loss and Melt Pool Profile in Selective Electron Beam Melting
🧪 Computational Evaluation of Temperature-Dependent Microstructural Transformations of Ti-6Al-4V for Laser Powder Bed Fusion Process
🔬 Micromechanical Characterization of Additively Manufactured Ti-6Al-4V Parts Produced by Electron Beam Melting
🌡️ Volumetric Heat Source Model for Laser-Based Powder Bed Fusion Process in Additive Manufacturing
📐 Radially Graded Porous Structure Design for Laser Powder Bed Fusion Additive Manufacturing of Ti-6Al-4V Alloy
💎 Surface Characteristics of Laser Polished Ti-6Al-4V Parts Produced by Electron Beam Melting Additive Manufacturing Process
🛠️ Wire Arc Additive Manufacturing of High-Strength Low Alloy Steels: Study of Process Parameters and Their Influence on the Bead Geometry and Mechanical Characteristics

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

orcid

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) 🔥

 

Asmaa Mohammed | Engineering | Young Scientist Award

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Dr. Asmaa Mohammed | Engineering | Young Scientist Award

Dr. Asmaa Mohammed, Electronics Research Institute, Egypt

Dr. Asmaa Mohammed is a dedicated researcher at the Electronics Research Institute in Egypt, specializing in the design and development of advanced antenna systems for wireless communications, cancer detection, and material characterization. She earned her Doctoral and Master’s degrees in Electronics and Communications from the Egypt-Japan University of Science and Technology (E-JUST), focusing on MIMO antennas and breast cancer detection using antennas and resonators, respectively. She also completed a post-doctoral research fellowship at the Department of Communication Engineering, Tohoku University, Japan, where she worked on high-gain dielectric antennas for wireless communication.

Education:

Post-Doctoral Research Fellow (May 2022 – Oct. 2022)
Department of Communication Engineering, Graduate School of Engineering, Tohoku University, Sendai, Japan.
Research Topic: High Gain Dielectric Antenna for Wireless Communication.

Doctoral Degree (Oct. 2017 – Nov. 2020)
Egypt-Japan University of Science and Technology (E-JUST), Department of Electronics and Communications.
Dissertation Topic: Design and Development of MIMO Antennas for Wireless Communications.

Master’s Degree (Feb. 2015 – Oct. 2017)
Egypt-Japan University of Science and Technology (E-JUST), Department of Electronics and Communications.
Dissertation Topic: Breast Cancer Detection Using Antennas and Resonators.

Graduate Studies (Oct. 2013 – Jan. 2015)
Ain Shams University, Faculty of Engineering, Electrical Engineering Department.
Completed ten advanced courses in electrical and communication engineering topics.

Bachelor’s Degree (Sep. 2007 – Jun. 2012)
Al-Azhar University, Faculty of Engineering, Electrical Department.
Graduation Project: Wireless Control System.

Professional Profiles:

Google Scholar

Professional Experience:

Professionally, Dr. Mohammed has a decade of experience in microstrip circuit research at the Electronics Research Institute, progressing from Research Assistant in 2013 to Researcher since 2020. She also has teaching experience as a lecturer at Al-Azhar University, where she instructed courses on Microwave Engineering and Electromagnetic Fields. Additionally, her volunteering efforts as a reviewer for reputable journals and conferences, and as a co-chair at international symposiums, reflect her commitment to advancing her field.

Research Interests:

Dr. Mohammed’s research interests include developing MIMO antennas, dielectric resonator antennas, RF planar passive components, microwave imaging for medical diagnostics, and thin-film hybrid components. Her expertise spans simulation, fabrication, and measurements using state-of-the-art tools such as CST Microwave Studio, Keysight ADS, and vector network analyzers. She has published extensively in high-impact journals and international conferences and serves as a reviewer for esteemed journals like Alexandria Engineering Journal and International Journal of Electronics..

Skills:

Simulations

Electromagnetic: CST Microwave Studio.
Circuit: Keysight ADS.

Measurements
Fabrication of planar and DR circuits using etching technique, LPKF machine, and
3D printer.
Vector Network Analyzer (S-Parameters Measurements, Calibrations)
Material Characterization using DAK
Radiation pattern Measurements

Conference Presentations:

Gomaa, A., Afifi, A., & Abdalrazik, A. (2024). A Dual-Band Wide Axial-Ratio Beamwidth Circularly-Polarized Antenna with V-Shaped Slot for L2/L5 GNSS Applications. In Proceedings of the 6th Novel Intelligent and Leading Emerging Sciences Conference (NILES) (pp. 119-122). Giza, Egypt, October 2024.

Afifi, A. I., Abd El-Hameed, A. S., Ahmed, S. M., Allam, A., & Abdel-Rahman, A. B. (2021). Asymmetric EBG Decoupling Structure for Coupling Reduction Applications. In Proceedings of the 15th European Conference on Antennas and Propagation (EuCAP). Düsseldorf, Germany, March 2021.

Afifi, A. I., Elsheakh, D. M., Abdel-Rahman, A. B., Allam, A., & Ahmed, S. M. (2019). Dual Broadband Coplanar Waveguide-Fed Slot Antenna for 5G Applications. In Proceedings of the 13th European Conference on Antennas and Propagation (EuCAP). Krakow, Poland, March 2019, pp. 1-3.

Afifi, A. I., & Abdel-Rahman, A. B. (2016). Ring Resonator for Breast Cancer and Broken Bones Detection. In Proceedings of the 28th Asia-Pacific Microwave Conference (APMC). New Delhi, India, December 2016, pp. 1-4.

Afifi, A. I., Abdel-Rahman, A. B., Allam, A., & Abd El-Hameed, A. S. (2016). A Compact Ultra-Wideband Monopole Antenna for Breast Cancer Detection. In Proceedings of the 59th IEEE International Midwest Symposium on Circuits and Systems (MWSCAS). Abu Dhabi, United Arab Emirates, October 2016, pp. 1-4.

Publications:

Asmaa I. Afifi, Anwer S. Abd El-Hameed, Ahmed Allam, Sabah M. Ahmed, and Adel B. Abdel-Rahman
“New Approach for Designing Quad-Port Single Element Dielectric Resonator MIMO Antenna,”
Computers and Electrical Engineering, vol. 120, pp. –, Dec. 2024.

El-Nady S, Afifi A, El-Hameed A, Anwer S
“Sugar and Salt Concentration Detection in Water Employing ENZ Metamaterial Microwave Sensor,”
Wireless Personal Communications, pp. 1-20, Feb. 2024.

Abdalrazik A, Gomaa A, Afifi A
“Multiband Circularly-Polarized Stacked Elliptical Patch Antenna with Eye-Shaped Slot for GNSS Applications,”
International Journal of Microwave and Wireless Technologies, pp. 1-7, 2024.

El-Nady S, Elsharkawy RR, Afifi A. I., Abd El-Hameed AS
“Performance Improvement of Substrate Integrated Cavity Fed Dipole Array Antenna Using ENZ Metamaterial for 5G Applications,”
Sensors, vol. 22, no. 1, pp. 125, Dec. 2021.

Darwish, M. A., Asmaa I. Afifi, Anwer S. Abd El-Hameed, H. F. Abosheiasha, A. M. A. Henaish, D. Salogub, A. T. Morchenko, V. G. Kostishyn, V. A. Turchenko, and A. V. Trukhanov
“Can Hexaferrite Composites be Used as a New Artificial Material for Antenna Applications?”
Ceramics International, vol. 47, no. 2, pp. 2615-2623, Sep. 2020.

Asmaa I. Afifi, Adel B. Abdel-Rahman, Anwer S. Abd El-Hameed, Ahmed Allam, Sabah M. Ahmed
“Small Frequency Ratio Multi-Band Dielectric Resonator Antenna Utilizing Vertical Metallic Strip Pairs Feeding Structure,”
IEEE Access, vol. 8, pp. 112840 – 112845, Jun. 2020.

 

Conclusion:

Dr. Asmaa Mohammed is highly deserving of the Research for Young Scientist Award. Her contributions to the fields of wireless communication, antenna design, and biomedical imaging, combined with her academic achievements and international exposure, make her a standout young researcher. Her work is innovative, impactful, and multidisciplinary, addressing both technological and societal challenges. While there are opportunities for further growth in leadership, industry engagement, and public outreach, Dr. Mohammed has already established herself as a promising young scientist. With continued development in these areas, she will undoubtedly achieve even greater accomplishments in her future career.

 

 

 

 

Pallavi Singh | Engineering | Most Cited Article Award

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Dr. Pallavi Singh | Engineering | Most Cited Article Award

Dr. Pallavi Singh, Hindustan Institute of technology and science, India

Dr. Pallavi Singh is a distinguished academic and researcher in Electronics and Communication Engineering at Hindustan Institute of Technology and Science, India. She has over a decade of teaching experience, including roles at MANIT Bhopal and CMRIT Bangalore, and a year in the industry at Spice.Net Limited, Delhi. Her research focuses on optical technologies, including SOA-MZI-based systems for optical logic gates and communication. She has authored numerous SCI-indexed journal articles on optical computing and network systems. With extensive academic contributions, Dr. Singh continues to advance optical communication technologies.

Professional Profiles

Scopus Profile

Orcid Profile

Google scholar Profile

Professionals Experience

Pallavi Singh is an accomplished professional with extensive experience in the fields of engineering, teaching, and research. She holds a robust academic and professional background in Electronics and Communication Engineering. Pallavi began her career in the industry as an Engineer in the Technical Support Division at EIL Delhi, working with Spice.Net Limited, New Delhi, from June 2002 to August 2003. She later transitioned to academia, amassing over 10 years of teaching experience in prestigious institutions across India.

Her teaching tenure includes roles as Lecturer at MANIT Bhopal and CMRIT Bangalore, where she gained valuable experience educating and mentoring students. Since July 2018, she has been serving as an Assistant Professor (Selection Grade) at Hindustan Institute of Technology and Science, Chennai, a renowned Deemed-to-be University. Her teaching career is complemented by her research expertise, gained during her four years and five months as a researcher at Allahabad University, Uttar Pradesh, where she delved into critical areas of Electronics and Communication Engineering.

Research Interests

Pallavi’s research interests focus on advanced communication systems, signal processing, and electronic circuit design, aiming to contribute innovative solutions to the industry and academia. With a blend of industrial, academic, and research experiences, Pallavi Singh is dedicated to advancing the field of Electronics and Communication Engineering through her work as an educator, mentor, and researcher.

Publications 

“Robotic Surveillance Monitoring for Land and Underwater Security”

Authors: Manoharan, L., Singh, P., Kumar, V.V., Adhil, M., Priyan, S.S.

Year: 2024

Citations: 0

“Smart City Transport Updater”

Authors: Kavitha, C.B., Singh, P., Vardhan, K.L., Deepak, D.

Year: 2023

Citations: 0

“Neural Network Architecture for ROI Segmentation Based on Melanoma Detection”

Authors: Singh, P., B.c, K., Naveen, P., Reddy, N.K.

Year: 2023

Citations: 0

Journal Articles

“Light fidelity optical network a comparative performance evaluation”

Authors: Tripathi, D.K., Singh, P.

Year: 2023

Citations: 1

“Novel approach to jointly optimize working and spare capacity of survivable optical networks”

Authors: Singh, A.K., Arun, V., Singh, P., Upadhayay, K.K.

Year: 2023

Citations: 0

“Comparative study of all-optical INVERTER and BUFFER gates using MZI structure”

Authors: Singh, P., Singh, A.K., Arun, V., Tripathi, D.K.

Year: 2023

Citations: 4

Conclusion

Dr. Pallavi Singh is a strong candidate for the “Most Cited Article Award.” Her impactful contributions to optical systems and logic gate designs, coupled with a consistent record of publications in high-impact journals, highlight her excellence in research. Addressing minor gaps in collaboration and visibility could further solidify her candidacy for this prestigious recognition.

 

 

 

Aleksandar Jovanovic | Engineering Award | Most Reader’s Article Award

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Assoc Prof Dr. Aleksandar Jovanovic | Engineering Award | Most Reader’s Article Award

professor at Faculty of engineering University of Kraguejvac, Serbia

Dr. Aleksandar Jovanovic is a distinguished academic with extensive experience in transportation and traffic engineering. He completed his PhD at the University of Belgrade in 2017, focusing on Operations Research in Urban Transportation. His academic journey also includes an MSc and BSc in Traffic Engineering and Urban Transportation from the same institution. Dr. Jovanovic’s career encompasses a range of positions, including his current role as Associate Professor at the University of Kragujevac, Serbia, where he has been employed since November 2022. He has previously served as a Postdoctoral Associate at the University of Pittsburgh, and as a Visiting Scholar there. His earlier roles include Assistant Professor at the University of Kragujevac, and Visiting Assistant Professor at the University of Banja Luka. His teaching experience spans undergraduate and graduate courses in traffic engineering, both in Serbia and the United States. He has been recognized with several honors, including a Professional Development Award in 2023 and the Best Paper Award at ICCMAE 2018. Dr. Jovanovic was also a recipient of the Serbian Governmental Scholarship from 2006 to 2017.

Professional Profiles:

📚 Education:

Dr. Aleksandar Jovanovic completed his PhD at the University of Belgrade, Serbia, in October 2017, specializing in Operations Research in Urban Transportation at the Faculty of Transport and Traffic Engineering. Prior to this, he earned his MSc in Traffic Engineering from the same institution in October 2011. Dr. Jovanovic’s academic journey began with a BSc in Urban Transportation, also from the University of Belgrade, awarded in October 2010.

Pofessional Experience:

Dr. Aleksandar Jovanovic has accumulated a wealth of experience in academia and research. From November 2022 to October 2023, he served as a Postdoctoral Associate at the University of Pittsburgh’s Swanson School of Engineering. Prior to this, he was a Visiting Scholar at the same institution from August to November 2021. Currently, Dr. Jovanovic holds the position of Associate Professor at the Department for Motor Vehicles and Motors at the University of Kragujevac, Faculty of Engineering in Serbia, a role he has occupied since November 2022. He previously served as an Assistant Professor at the same department from September 2018 to November 2022 and as a Visiting Assistant Professor at the University of Banja Luka, Faculty of Mechanical Engineering, from March 2019 to October 2022. Earlier in his career, Dr. Jovanovic was a Teaching Assistant in the Department of Road Traffic at the State Engineering College of Applied Studies “Tehnikum Taurunum” in Belgrade from September 2016 to September 2018, and a Junior Teaching Assistant at the State Technical College of Applied Studies in Kragujevac from September 2013 to September 2015.

Teaching Experience:

Dr. Aleksandar Jovanovic has an extensive teaching background, spanning both undergraduate and graduate courses. At the University of Pittsburgh, he has served as a Co-Instructor for the undergraduate courses “Traffic Control Systems” in Spring 2023 and “Traffic Management and Operations” in Fall 2023. At the University of Kragujevac, his teaching roles included instructing undergraduate courses such as “Urban Transportation” from Spring 2018 to 2022, “Traffic Safety” from Fall 2018 to 2021, and “Informatics in Traffic Engineering” from Spring 2018 to 2022. He also co-instructed “Traffic and Traffic Roads” from Fall 2018 to 2020. For graduate students at the University of Kragujevac, Dr. Jovanovic taught “Informatic Systems in Traffic Engineering” in Spring 2018 to 2022, and “Operations Research Applications in Traffic Engineering” from Fall 2019 to 2021. Additionally, he provided a lecture on “Applications of Fuzzy Logic Systems in Traffic Signal Control” for graduate students at the Pittsburgh Intelligent Transportation Systems (PITTs) Lab in Fall 2021.

Awards And Honors:

Dr. Aleksandar Jovanovic has received several notable honors and awards throughout his career. In 2023, he was recognized with a Professional Development Award for his poster presentation at the Postdoctoral Data and Dine Symposium. In 2019, he earned the Best Paper Award at the International Conference on Computational Mathematics and Engineering (ICCMAE) 2018 in Timisoara, specifically in the Applied/Computational Mathematics section. Additionally, between 2006 and 2017, Dr. Jovanovic was a recipient of the Serbian Governmental Scholarship, reflecting his academic excellence and commitment to his field.

Skills:

Dr. Aleksandar Jovanovic possesses a diverse set of computer skills and competencies. In the field of traffic simulation and analysis, he is proficient with tools such as PTV Vissim (including COM and VAP), HCS+T7F, Synchro, and SUMO. For design tasks, he utilizes AutoCAD. Additionally, Dr. Jovanovic is skilled in scripting languages, including Matlab and Python, which he employs for various analytical and programming tasks.

📚Publications :

“Area-wide urban traffic control: A Bee Colony Optimization approach”
Authors: A Jovanović, M Nikolić, D Teodorović
Citations: 85
Year: 2017

“Green vehicle routing in urban zones–A neuro-fuzzy approach”
Authors: AD Jovanović, DS Pamučar, S Pejčić-Tarle
Citations: 82
Year: 2014

“Pre-timed control for an under-saturated and over-saturated isolated intersection: a Bee Colony Optimization approach”
Authors: A Jovanović, D Teodorović
Citations: 26
Year: 2017

“Ecology based network traffic control: A bee colony optimization approach”
Authors: A Jovanović, A Stevanović, N Dobrota, D Teodorović
Citations: 13
Year: 2022

“Fixed-time traffic control at superstreet intersections by bee colony optimization”
Authors: A Jovanović, D Teodorović
Citations: 12
Year: 2022

“The assessment and selection of suppliers using AHP and MABAC with type-2 fuzzy numbers in automotive industry”
Authors: N Komatina, D Tadić, A Aleksić, AD Jovanović
Citations: 11
Year: 2023

“Restricted crossing U-turn traffic control by interval Type-2 fuzzy logic”
Authors: A Jovanović, K Kukić, A Stevanović, D Teodorović
Citations: 11
Year: 2023

“Type-2 fuzzy logic based transit priority strategy”
Authors: A Jovanović, D Teodorović
Citations: 10
Year: 2022

“A fuzzy logic simulation model for controlling an oversaturated diverge diamond interchange and ramp metering system”
Authors: A Jovanović, K Kukić, A Stevanović
Citations: 9
Year: 2021

“Multi-objective optimization of a single intersection”
Authors: A Jovanović, D Teodorović
Citations: 8
Year: 2021