Toh Yen Pang | Engineering | Research Excellence Award

Published on by Citation Awards

Toh Yen Pang | Engineering | Research Excellence Award

RMIT University | Australia

Prof. Dr. Toh Yen Pang is a researcher specialising in systems design, biomechanical modelling, and digital twin development for advanced biomedical applications. His work integrates advanced technologies and simulation methods to create bioengineered models and devices that support personalised solutions while reducing reliance on costly and time-intensive animal testing and clinical trials. He serves as a Theme Leader within the RMIT Digitalisation Network, focusing on human-centred design and workforce wellbeing, and has secured significant competitive research funding from major government, medical, and defence-related organisations.

Citation Metrics (Google Scholar)

1800

1200

600

0

Citations
1708

h-index
25

i10-index
43

Citations
h-index
i10-index


View Google Scholar Profile
 View Scopus Profile
 View Orcid Profile

Featured Publications

Abdullah G. Alharbi | Engineering | Research Excellence Award

Published on by Citation Awards

Abdullah G. Alharbi | Engineering | Research Excellence Award

Princess Nourah Bint Abdulrahman University | Saudi Arabia

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

Citation Metrics (Google Scholar)

50004000

3000

2000

1000

0

Citations
4287

Documents
2,577

h-index
36


View Google Scholar Profile View orcid Profile View Scopus Profile

Featured Publications

Christos Antonopoulos | Engineering | Research Excellence Award

Published on by Citation Awards

Christos Antonopoulos | Engineering | Research Excellence Award

University of the Peloponnese | Greece

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

Citation Metrics (Google Scholar)

15001200

900

600

300

0

Citations
1293

Documents
35

h-index
19


View Google Scholar Profile

Featured Publications

 

Qinghua Wei | Engineering | Best Research Article Award

Published on by Citation Awards

Qinghua Wei | Engineering | Best Research Article Award

Dr. Qinghua Wei, Northwestern Polytechnical University, China

Dr. Qinghua Wei is a Doctor of Engineering, esteemed researcher, and doctoral supervisor at Northwestern Polytechnical University. Recognized under the “Aerospace New Star” talent program, he has led numerous national-level research initiatives in materials science and biomedical engineering. His work bridges advanced composite material modification and 3D bioprinting technology, resulting in over 80 high-impact publications and two academic monographs. With a strong interdisciplinary approach, Dr. Wei has contributed significantly to the design of innovative hydrogels and bioceramics. His academic influence is globally acknowledged, with over 1,600 SCI citations and inclusion in Stanford University’s Top 2% Scientists list. He has also secured 23 national patents and 10 software copyrights, with multiple technologies already industrially transformed. Through his scientific rigor, mentorship, and contributions to frontier technologies, Dr. Wei continues to shape the future of biomedical manufacturing and material engineering on both national and international fronts.

Publication Profile

orcid

Education

Dr. Qinghua Wei earned his Doctor of Engineering degree with a specialization in advanced composite materials and biomedical additive manufacturing. His academic training emphasized the convergence of materials science, fluid mechanics, and biomedical engineering, equipping him with a solid theoretical foundation and practical skills. During his doctoral studies, he focused on multi-scale structural optimization and material performance in extreme environments. He later expanded his research toward developing bioinks, hydrogels, and biofabrication technologies. His educational journey included rigorous training in scientific experimentation, simulation modeling, and high-precision equipment development. Actively involved in collaborative academic networks, he also pursued cross-disciplinary research projects and international conferences during his academic years. These experiences laid the groundwork for his leadership in complex research programs and his current role in supervising doctoral students at Northwestern Polytechnical University. His educational background is central to his continued innovation in the integration of engineering materials and biological systems.

Experience

Dr. Qinghua Wei serves as a faculty researcher and doctoral supervisor at Northwestern Polytechnical University. Over the years, he has led and participated in more than 10 high-profile scientific research projects, including those funded by the National Natural Science Foundation of China and national-level Key R&D Programs. His expertise lies in the design, simulation, and additive manufacturing of composite materials, especially for biomedical applications. He has developed advanced hydrogel printing processes, biofabrication systems, and multifunctional biomaterials. As a senior researcher, Dr. Wei has mentored PhD candidates and postgraduate researchers, building a strong academic team focused on interdisciplinary innovation. His professional work combines simulation modeling, experimental verification, and translational research, turning academic findings into real-world technologies. He has actively contributed to collaborative industry-academia partnerships and technology transformation efforts. With multiple accolades and patents, Dr. Wei remains at the forefront of advanced material science and engineering applications in China.

Honors and Awards

Dr. Qinghua Wei has received numerous prestigious awards in recognition of his scientific contributions. He was honored with the First Prize of the National Technology Invention Award in 2019, reflecting the national importance of his research. Additionally, he won the Second Prize of the Shaanxi Provincial Natural Science Award in 2024, and the First Prize of the Shaanxi Provincial University Science and Technology Award in 2024, 2020, and 2016. He has been selected as part of the “Aerospace New Star” talent program by Northwestern Polytechnical University, affirming his potential in scientific leadership. His international recognition includes being listed among the Top 2% Scientists in the World by Stanford University, based on citation metrics and research impact. Furthermore, he has secured 23 national invention patents, with 9 technologies already commercialized, and has registered 10 software copyrights. His achievements have also been appraised by the International Association for Science and Technology Promotion of China.

Research Focus

Dr. Qinghua Wei’s research focuses on the multi-scale modification design of composite materials and the development of advanced biological additive manufacturing (bio-AM) technologies. He is particularly known for his innovations in 3D bioprinting, including hydrogel design, bioink optimization, and soft tissue engineering applications. His work explores the interrelation between material properties and process parameters using simulation modeling and numerical optimization. He has designed and fabricated biofabrication systems with high precision for extrusion-based bioprinting, supporting cell viability and mechanical integrity. In materials science, Dr. Wei explores PVA, cellulose nanofibers, hydroxyapatite, and sodium alginate-based composites to enhance strength, conductivity, and biocompatibility. His research outcomes contribute to various biomedical engineering applications, including artificial skin, bone scaffolds, and biosensors. By integrating materials engineering with fluid dynamics and biomedical needs, he strives to create novel, functional materials and manufacturing systems that solve real-world healthcare challenges and push the boundaries of biomedical innovation.

Publications

  1. 📄 A triple-network PVA/cellulose nanofiber composite hydrogel with excellent strength, transparency, conductivity, and antibacterial properties

  2. 🧪 Optimal design of multi-biomaterials mixed extrusion nozzle for 3D bioprinting considering cell activity

  3. 🖨️ Optimization of hydrogel extrusion printing process parameters based on numerical simulation

  4. 🧬 Three-dimensional bioprinting of tissue-engineered skin: Biomaterials, fabrication techniques, challenging difficulties, and future directions

  5. 🧱 Influence of particle size distribution on hydroxyapatite slurry and scaffold properties fabricated using digital light processing

  6. 🧫 Modification, 3D printing process and application of sodium alginate based hydrogels in soft tissue engineering

  7. 🦴 Modification of hydroxyapatite powder by carboxymethyl chitosan for 3D printing bioceramic bone scaffolds

  8. ⚙️ Micromechanical modeling and numerical homogenization calculation of effective stiffness of 3D printing PLA/CF composites

  9. 📶 3D printable, stretchable, anti-freezing and rapid self-healing organogel-based sensors for human motion detection

  10. 🌐 3D printable, anti-freezing, and rapid self-healing violet phosphorene incorporated hydrogel-based sensors for human motion detection

Ioana Monica Sas-Boca | Engineering | Best Researcher Award

Published on by Citation Awards

Ioana Monica Sas-Boca | Engineering | Best Researcher Award

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

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

Publication Profile

orcid

🎓 Education

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

💼 Experience

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

🏆 Honors and Awards

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

🔬 Research Focus

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

📚 Publications

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

Zeyang Zhou | Engineering | Most Cited Article Award

Published on by Citation Awards

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

Oguzhan Yilmaz | Engineering | Best Researcher Award

Published on by Citation Awards

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

Published on by Citation Awards

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) 🔥

 

zongyang hu | Engineering | Best Researcher Award

Published on by Citation Awards

Mr. zongyang hu | Engineering | Best Researcher Award

Mr. zongyang hu, Shanghai Jiao Tong University, China

Mr. Zongyang Hu, a PhD candidate in Control Science and Engineering at Shanghai Jiao Tong University’s UMJI, has demonstrated exceptional research capabilities and innovation in process control and optimization.

Education:

2015-2019: Undergraduate in Huazhong University of Science and Technology,
major in Control Science and Engineering;

2019-present: Graduate in UMJI, PhD candidate (advisor: Prof. Mian Li), major in
Control Science and Engineering.

Professional Profiles:

Scopus Profile

Professional Experience:

Zongyang’s professional experience reflects a strong foundation in control systems, industrial automation, and algorithm design, making significant contributions to energy and manufacturing sectors.

Research Interests:

His research interests lie in process control, industrial optimization, and the development of innovative control strategies for enhancing industrial efficiency and sustainability.

Research Experience:

Process Control

Optimization of Supercritical Boiler Combustion in Wucaiwan (2019-2020)

Collaboration with the National Energy Corporation, responsible for algorithm implementation.

Control and Optimization of Tianjin Binhai Garbage Burning and Disposal (2021-2022)

Responsible for algorithm development and implementation.

Visualization of Furnace Temperature Field and Research and Application of Combustion Optimization (2023-2024)

Collaboration with the National Energy Corporation, solely responsible for combustion optimization algorithm development.

Research and Application of Steel Furnace Strip Transition Strategy Control (2024-Present)

Collaboration with Baoshan Iron and Steel Company, responsible for algorithm development.

VR/AR Research

Research and Application Demonstration of Key Technologies of Virtual Experimental Education Platform Based on 5G Network and 8K Ultra-HD Video (2021-2023)

Shanghai Municipal Science and Technology Commission project, responsible for system software and hardware construction and algorithm implementation.

Key Technology Research and Application Demonstration of Digital Workshop Virtual Monitoring and Fault Warning System Based on 5G Internet of Things (2023-2024)

Zhoushan Science and Technology Bureau project, responsible for system software and hardware construction and algorithm implementation.

Smart Energy Storage

Quantitative Evaluation Model for Electrochemical Energy Storage (2024-Present)

Huawei collaboration project, responsible for the development of fault propagation network algorithms for energy storage systems.

Publications:

Efficient model predictive control of boiler coal combustion based on NARX neutral network. Journal of Process Control, 2024, 134: 103158. (SCI, IF: 4.2)

Optimization of power plant denitrification control using online adaptive gain planning method. Electric Power Technology and Environmental Protection, 2023, 39(1): 35-42.

Collaborative optimization for deep peak-shaving and ultra-clean emission of coal-fired boiler using flue gas recycling technology. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2020. DOI: 10.1080/15567036.2020.1760970. (SCI, IF: 2.902)

Digital Twin in smart manufacturing: remote control and virtual machining using VR and AR technologies. Structural and Multidisciplinary Optimization, 2022, 65(11): 321. DOI: https://doi.org/10.1007/s00158-022-03426-3. (SCI, IF: 4.279)

A Human-Inspired Slow-Fast Dual-Branch Method for Product Quality Prediction of Complex Manufacturing Processes with Hierarchical Variations. Advanced Engineering Informatics, Volume 64, 2025. (SCI, TOP)

 

Conclusion:

Mr. Zongyang Hu is a highly qualified and competitive candidate for the Best Researcher Award in engineering. His innovative research contributions, extensive publication record, and interdisciplinary approach position him as a leader in energy optimization and smart manufacturing. While opportunities exist to expand his industry collaborations and public engagement, his current achievements make him a deserving contender for this prestigious recognition.

 

Zhijian Hu | Engineering | Best Researcher Award

Published on by Citation Awards

Dr. Zhijian Hu | Engineering | Best Researcher Award

Dr. Zhijian Hu, LAAS-CNRS, France

Dr. Zhijian Hu is a Research Fellow at the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. He holds a B.Eng. in Electrical Engineering from Dalian Maritime University, an M.Eng. in Control Engineering from Harbin Engineering University, and a Ph.D. in Control Science and Engineering from Harbin Institute of Technology. Dr. Hu’s research focuses on model predictive control, fuzzy control, resilient control, and smart grid applications.

Education

PhD in Control Science and Engineering from Harbin Institute of Technology, China (September 2017 – January 2022), under the supervision of Prof. Ligang Wu.

Master of Engineering in Control Engineering from Harbin Engineering University, China (September 2015 – July 2017).

Bachelor of Engineering in Electrical Engineering and Automation from Dalian Maritime University, China (September 2011 – July 2015).

Professional Profiles

ORCID Profile

Professional Experience

Research Fellow

Institution: School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore

Postdoctoral Researcher

Institution: LAAS-CNRS (Laboratory for Analysis and Architecture of Systems), Toulouse, France

PhD Candidate

Institution: Harbin Institute of Technology, Harbin, Heilongjiang, China

Field: Control Science and Engineering

Research Interests

Dr. Zhijian Hu’s research interests include:

Control Systems and Methodologies

Model Predictive Control

Robust Control and Filtering

Fuzzy Control

Distributed Control

Resilient Control

Intrusion Detection and Security Control

Reinforcement Learning

Neural Networks

Energy Systems and Applications

Power Systems

Smart Grids

Renewable Energies

Load Frequency Control

Electric Vehicles

Wind Turbines

Research Experience

MSCA Postdoctoral Fellow, LAAS-CNRS, France

Funded by the prestigious Marie Skłodowska-Curie Postdoctoral Fellowship.

Duration: December 1, 2023 – November 31, 2025.

Collaborated with Prof. Luca Zaccarian from LAAS-CNRS, France, and Prof. Alessandro Astolfi from Imperial College London, UK.

Research Fellow, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore

Conducted advanced research under the supervision of Prof. Rong Su.

Duration: March 28, 2022 – November 31, 2023.

Visiting Researcher, Electrical and Computer Engineering, Carleton University, Canada

Engaged in collaborative research with Prof. Shichao Liu.

Duration: October 2019 – November 2020.

Top Notable Publications

Resilient Frequency Estimation for Renewable Power Generation Against Phasor Measurement Unit and Communication Link Failures

IEEE Transactions on Circuits and Systems II: Express Briefs

DOI: 10.1109/TCSII.2024.3496192

Contributors: Zhijian Hu, Rong Su, Kai Zhang, Ruiping Wang, Renjie Ma

Publication Date: January 2025

A General Resiliency Enhancement Framework for Load Frequency Control of Interconnected Power Systems Considering Internet of Things Faults

IEEE Transactions on Industrial Informatics

DOI: 10.1109/TII.2024.3397400

Contributors: Zhijian Hu, Renjie Ma, Bohui Wang, Yulong Huang, Rong Su

Publication Date: 2024

A Novel Handling Method to Intermittent Feedback in Load Frequency Regulation for Renewable Energy-Dominated Microgrids

IEEE Transactions on Instrumentation and Measurement

DOI: 10.1109/TIM.2024.3457958

Contributors: Zhijian Hu, Qingyang Li, Pu Zhang, Ruiping Wang, Kai Zhang

Publication Date: 2024

Adaptive Tracking Control for Uncertain Nonlinear Multi-Agent Systems With Partially Sensor Attack

IEEE Transactions on Automation Science and Engineering

DOI: 10.1109/TASE.2024.3440394

Contributors: Guangliang Liu, Qiuye Sun, Hanguang Su, Zhijian Hu

Publication Date: 2024

Adversarial FDI Attack Monitoring: Toward Secure Defense of Industrial Electronics

IEEE Industrial Electronics Magazine

DOI: 10.1109/MIE.2023.3292988

Contributors: Renjie Ma, Zhijian Hu, Hongyan Yang, Yuchen Jiang, Mingyi Huo, Hao Luo, Rongni Yang

Publication Date: 2024

Consensus of Input Constrained Multi-Agent Systems by Dynamic Time-Varying Event-Triggered Strategy With a Designable Minimal Inter-Event Time

IEEE Transactions on Circuits and Systems II: Express Briefs

DOI: 10.1109/TCSII.2023.3332593

Contributors: Kai Zhang, Zhijian Hu, Fazhi Song, Xuefei Yang, Yang Liu

Publication Date: 2024

Distributed Secure Estimation Against Sparse False Data Injection Attacks

IEEE Transactions on Systems, Man, and Cybernetics: Systems

DOI: 10.1109/TSMC.2023.3344876

Contributors: Renjie Ma, Zhijian Hu, Lezhong Xu, Ligang Wu

Publication Date: 2024

Modeling Driver Decision Behavior of the Cut-In Process

IEEE Transactions on Intelligent Transportation Systems

DOI: 10.1109/TITS.2023.3330061

Contributors: Yun Lu, Rong Su, Lingying Huang, Jiarong Yao, Zhijian Hu

Publication Date: 2024

Periodic Event-Triggered and Self-Triggered Control of Spacecraft Rendezvous System With Input Delay

IEEE Transactions on Automation Science and Engineering

DOI: 10.1109/TASE.2024.3439009

Contributors: Kai Zhang, Meilin Li, Zhijian Hu, Xuefei Yang, Kang-Kang Zhang

Publication Date: 2024

Resilient Distributed Frequency Regulation for Interconnected Power Systems With PEVs and Wind Turbines Against Temporary PMU Faults

IEEE Internet of Things Journal

DOI: 10.1109/JIOT.2024.3450725

Contributors: Zhijian Hu, Haifeng Qiu, Hassan Haes Alhelou, Rong Su, Renjie Ma

Publication Date: 2024

Conclusion

Dr. Zhijian Hu is highly deserving of the Research for Best Researcher Award due to his pioneering work in renewable energy systems, automation, and secure industrial electronics. His contributions to resilient and secure control strategies are vital for advancing energy systems, cybersecurity, and modern automation. While his research is already impactful, enhancing the practical applications of his findings and broadening international collaborations would further amplify his contributions to the global scientific and industrial communities. His commitment to advancing knowledge in critical fields positions him as a leader in engineering and technology research.