Saša Milojević | Engineering | Best Researcher Award

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Saša Milojević | Engineering | Best Researcher Award

Faculty of Engineering University of Kragujevac | Serbia

Dr. Saša T. Milojević is a distinguished Serbian scholar and expert advisor with over three decades of academic and industrial experience in mechanical and automotive engineering, specializing in powertrain systems, vehicle maintenance, renewable energy, sustainable transport, and environmental protection. He earned his BSc, MSc, and PhD degrees from the University of Kragujevac, Faculty of Engineering, where he currently serves as an Assistant Professor in the Department of Powertrain and Mobile Systems. Alongside his academic duties, Dr. Milojević works as an expert advisor in the field of technical inspection and homologation testing of vehicles, contributing his expertise to the advancement of vehicle safety and compliance standards. His professional career also includes over five years as Head of Production and Technical Manager in the bus and truck industry, where he gained extensive experience in manufacturing and industrial management. Dr. Milojević has authored more than 100 scientific publications, including journal papers, conference proceedings, book chapters, and edited volumes, reflecting his broad and impactful research output. His work bridges the fields of internal combustion engines, alternative fuels, tribology, and recycling technologies, emphasizing sustainable and energy-efficient mobility solutions. He played a leading role as Consortium Manager in two FP7 projects focusing on innovative low-floor electric and hydrogen-powered minibuses, and as a team leader, he won the regional innovation award for developing Serbia’s first low-floor city bus powered by natural gas. Since 2023, Dr. Milojević has been representing the KG EDU-S research center in the European and USA network for education and research, promoting sustainable development in transport and industry through collaborative international projects. His career stands as a testament to the integration of engineering innovation, education, and sustainability.

Profile: Scoups | Orcid | Google  Scholar 

Featured Publications

  • Skrúcaný, T., Kendra, M., Stopka, O., Milojević, S., Figlus, T., & Csiszár, C. (2019). Impact of the electric mobility implementation on the greenhouse gases production in central European countries. Sustainability, 11(18), 4948.

  • Milojević, S., Glišović, J., Savić, S., Bošković, G., Bukvić, M., & Stojanović, B. (2024). Particulate matter emission and air pollution reduction by applying variable systems in tribologically optimized diesel engines for vehicles in road traffic. Atmosphere, 15(2), 184.

  • Sandra, V., Stojanovic, B., Ivanović, L., Miladinovic, S., & Milojević, S. (2019). Application of nanocomposites in the automotive industry.

  • Milojević, S., Savić, S., Marić, D., Stopka, O., Krstić, B., & Stojanović, B. (2022). Correlation between emission and combustion characteristics with the compression ratio and fuel injection timing in tribologically optimized diesel engine. Tehnički vjesnik, 29(4), 1210–1219. https://doi.org/10.17559/TV-20220322134250

  • Milojević, S., Savić, S., Marić, D., Stopka, O., Krstić, B., & Stojanović, B. (2022). Multi-objective optimization of tribological characteristics for aluminum composite using Taguchi grey and TOPSIS approaches. Tehnički vjesnik, 29(4), 1210–1219.

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

google scholar

🎓 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 🏙️

Zeyang Zhou | Engineering | Most Cited Article Award

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Zeyang Zhou | Engineering | Most Cited Article Award

Dr. Zeyang Zhou, Tianjin University, China

Dr. Zeyang Zhou is an Assistant Researcher at the School of Mechanical Engineering, Tianjin University, China. He specializes in surgical navigation, virtual/mixed reality (VR/MR)-assisted precision surgery, and intelligent medical image processing. With extensive experience in developing advanced technologies for minimally invasive surgery, he has led and contributed to multiple high-impact publications in biomedical engineering journals. His academic journey includes a Ph.D., M.S., and B.S. in Mechanical Engineering from Tianjin University, and a stint as a visiting Ph.D. student at the University of Cambridge. Dr. Zhou’s interdisciplinary expertise bridges engineering, computer science, and medicine, making significant strides in image-guided surgeries and personalized surgical simulations. His work integrates AI, MR, and machine learning into real-time clinical applications. Recognized for his impactful research and academic contributions, Dr. Zhou represents a new generation of researchers driving innovation in the integration of mechanical engineering with healthcare technologies.

Publication Profile

scopus

Education

Dr. Zeyang Zhou completed his entire higher education in Mechanical Engineering at Tianjin University, China, one of the country’s leading engineering institutions. He earned his Bachelor’s degree between 2013 and 2017, followed by a Master’s degree from 2017 to 2019, where he delved deeper into biomedical engineering applications. From 2019 to 2023, he pursued his Ph.D., focusing on surgical navigation systems and VR/MR applications in surgery. As part of his doctoral training, he was a visiting Ph.D. student at the University of Cambridge, UK, where he gained international exposure and collaborated with leading experts in the field. His academic training reflects a strong foundation in mechanical design, computational methods, and medical image processing, equipping him with the tools to innovate in precision medicine and minimally invasive surgical technology. This diverse and robust academic background fuels his interdisciplinary research approach.

Experience

Dr. Zeyang Zhou currently holds the position of Assistant Researcher at the School of Mechanical Engineering, Tianjin University since July 2023, where he is involved in cutting-edge research in surgical technologies. Before that, he served as a Postdoctoral Research Fellow in the same department, continuing his work on intelligent surgical systems and image-guided navigation from July 2023 onward. His early experience includes contributing to multidisciplinary teams focused on VR/MR-enhanced surgery, where he applied advanced mechanical and computational methods to solve real-world clinical problems. His collaborative work with surgeons, radiologists, and computer scientists has resulted in multiple peer-reviewed publications in top journals. Through continuous engagement in academia and research, Dr. Zhou has cultivated expertise in modeling soft-tissue mechanics, image registration, and neural network applications in surgery. His experience reflects a commitment to innovation, research excellence, and impactful medical technology development.

Awards and Honors

While specific awards are not listed in the provided profile, Dr. Zeyang Zhou’s selection as a Visiting Ph.D. Student at the University of Cambridge highlights significant academic recognition and trust in his research capabilities. This prestigious opportunity is typically granted to outstanding doctoral candidates showing exceptional promise in their fields. Additionally, his multiple first-author publications in top-tier international journals, including Medical Physics, Computers in Biology and Medicine, and Expert Systems with Applications, underscore his recognition within the research community. His continued progression from Ph.D. student to postdoc and now Assistant Researcher at Tianjin University further reflects institutional recognition of his contributions and research excellence. It is expected that Dr. Zhou has received internal university fellowships or academic performance-based honors, often common among top research scholars in China. As his career progresses, he is well-positioned to receive international research awards and fellowships in medical robotics and computational medicine.

Research Focus

Dr. Zeyang Zhou’s research is centered on surgical navigation systems, VR/MR-assisted precision surgery, and minimally invasive surgical robotics. His work aims to enhance the accuracy and efficiency of complex surgical procedures through intelligent systems that merge real-time imaging, machine learning, and 3D visualization technologies. One of his major focuses is on mixed reality-based navigation platforms for procedures like glioma resection and hypertensive intracerebral hemorrhage treatment, improving spatial awareness and decision-making in the operating room. He also explores neural network-based respiratory motion modeling, needle insertion planning, and automated medical image segmentation using AI techniques. His interdisciplinary approach integrates mechanical engineering, biomedical imaging, and artificial intelligence, with a strong emphasis on translating theoretical frameworks into clinically viable tools. Dr. Zhou’s research not only improves patient safety and surgical precision but also provides virtual training environments for clinicians using simulation technologies.

Publication Top Notes

  • 🧠 Segmentation of Brain Tumor Resections In Intraoperative 3D Ultrasound Images Using a Semi-supervised Cross nnSU-Net

  • 🪡 A method for predicting needle insertion deflection in soft tissue based on cutting force identification

  • 🫁 A back propagation neural network based respiratory motion modelling method

  • 🤖 A high-dimensional respiratory motion modeling method based on machine learning

  • 🧪 Personalized virtual reality simulation training system for percutaneous needle insertion and comparison of zSpace and vive

  • 🧠 Augmented reality surgical navigation system based on the spatial drift compensation method for glioma resection surgery

  • 🧠 Validation of a surgical navigation system for hypertensive intracerebral hemorrhage based on mixed reality using an automatic registration method

  • 🧠 Design and validation of a navigation system of multimodal medical images for neurosurgery based on mixed reality

  • 🧠 Surgical Navigation System for Hypertensive Intracerebral Hemorrhage Based on Mixed Reality

  • 🎯 DVH-based inverse planning for LDR pancreatic brachytherapy

  • 🧠 Surgical navigation system for brachytherapy based on mixed reality using a novel stereo registration method

Fadia Ahmed A. Naji | Engineering | Best Researcher Award

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Ms. Fadia Ahmed A. Naji | Engineering | Best Researcher Award

Ms. Fadia Ahmed A. Naji, Delhi Technological University, India

Ms. Fadia Ahmed A. Naji is a dedicated scholar and professional with a strong foundation in Industrial and Mechanical Engineering. Her academic qualifications, professional experiences, research accomplishments, and skills exemplify her commitment to academic excellence and industrial applications. Ms. Naji is recognized for her analytical and organizational skills, problem-solving abilities, and excellent interpersonal communication. Her ability to manage work efficiently under pressure and collaborate effectively with academic and industrial teams highlights her versatility and dedication.

Education:

Ms. Naji has a solid educational background, starting with a B.Sc. in Industrial Engineering from Taiz University, Yemen, in 2012, followed by an M.Sc. in Industrial Engineering from the same institution in 2021. She is currently pursuing a Ph.D. in Mechanical Engineering at Delhi Technological University, India, with a research focus on advanced materials and sustainable manufacturing. This progression demonstrates her dedication to enhancing her expertise and contributing to cutting-edge research.

Professional Profiles:

ORCID Profile

Professional Experience:

Ms. Naji’s professional journey includes roles such as Head of the Planning and Purchasing Departments at Alahlia Mineral Water Co. in Yemen (2012–2019), where she honed her skills in industrial management and strategic operations. Additionally, she has served as a Teaching Assistant at Iqra College, sharing her knowledge and inspiring future engineers. Her experience bridges academia and industry, reflecting her practical and theoretical understanding of engineering principles.

Skills:

Ms. Naji possesses an impressive skill set that includes analytical reasoning, project management, and proficiency in computer science. Her ability to blend logic with creative problem-solving makes her a standout researcher. Additionally, her excellent communication, teamwork, and organizational abilities ensure she thrives in collaborative environments, making her research impactful and widely disseminated.

Research Interests:

Ms. Naji has made notable contributions to scientific literature, particularly in the fields of quality control, nano-finishing of titanium alloys, and sustainable manufacturing processes. Her publications, such as “Designing an Integrated Model of Quality Control and Maintenance Planning” and “Sustainable Chemo-Mechanical Magneto-Rheological Finishing of Ti64 Alloy,” showcase her innovative approaches to solving contemporary engineering challenges. Her research on environmentally friendly methods for biomedical implant surface modifications underlines her focus on sustainability and social impact.

Publications:

Designing an integrated model of quality control and maintenance planning for the multi-component system using the CUSUM chart

Challenges and opportunities in nano finishing of titanium alloys for biomedical applications: A review

Future Perspectives and Research Trends in Chemo-mechanical Magneto-rheological Finishing for Enhanced Surface Quality

A Novel Thermochemical Process for Ti46 Alloy Surface Modification by Environmentally Friendly for Biomedical Implant Applications

Sustainable Chemo-Mechanical Magneto-Rheological Finishing of Ti64 Alloy: Enhancing Surface Finish through pH Regulation and Process Parameter Optimization

 

Conclusion:

Ms. Fadia Ahmed A. Naji is a strong candidate for the Best Researcher Award. Her academic achievements, professional expertise, and significant research contributions in industrial engineering and sustainable manufacturing distinguish her as a researcher with substantial potential. Strengthening her global outreach and expanding interdisciplinary collaborations can further elevate her profile.

This combination of academic rigor, practical experience, and impactful research positions her as a deserving nominee for this award.