Saulius Baskutis | Manufacturing Applications | Excellence in Computer Vision Award

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Prof. Dr. Saulius Baskutis | Manufacturing Applications | Excellence in Computer Vision Award

Professor at Kaunas University of Technology | Lithuania

Prof. Dr. Saulius Baskutis is a distinguished academic and researcher whose career spans decades of teaching, research, and industrial engagement in the field of engineering sciences. He has contributed significantly to the advancement of materials testing, welding processes, coatings, renewable energy, logistics, and device diagnostics, while also actively participating in collaborative international projects. His professional journey reflects a balance between academic excellence and industrial practice, providing him with the ability to develop innovative, practical solutions for technological challenges. With numerous publications in reputable, indexed journals and presentations at international conferences, he has built a strong scholarly reputation. His leadership in EU-funded projects and membership in professional associations highlights his influence in both academic and professional communities. Recognized for his commitment to advancing science and technology, he continues to inspire students, researchers, and industry experts, while shaping the future of sustainable engineering practices through impactful research and collaborations.

Professional Profiles 

Scopus Profile | ORCID Profile 

Education

Prof. Dr. Saulius Baskutis began his academic journey at Kaunas Polytechnical Institute, where he earned an engineering qualification and later pursued doctoral studies in technical sciences, which shaped the foundation of his research career. His academic training combined deep theoretical knowledge with applied aspects of mechanical and material sciences, enabling him to explore innovative solutions in manufacturing and energy systems. During his postgraduate years, he developed expertise in welding, coatings, and materials testing, areas that would remain central to his research. He later expanded his knowledge through continuous professional development and specialized training programs across Europe, focusing on Industry 4.0, renewable energy, mechatronics, and advanced manufacturing technologies. This commitment to lifelong learning has strengthened his academic portfolio and ensured that his teaching and research remain aligned with evolving industrial needs. His education reflects a continuous pursuit of excellence, integrating traditional engineering knowledge with modern approaches to meet current and future challenges.

Professional Experience

Prof. Dr. Saulius Baskutis has built an impressive professional career combining academia and industry, demonstrating strong leadership and applied expertise in engineering. He has served at Kaunas University of Technology in various roles, progressing from assistant and lecturer to associate professor and professor, contributing extensively to teaching and curriculum development in manufacturing and mechanical engineering. His professional journey is enriched by industrial experience with organizations in Lithuania, Denmark, and Finland, where he worked as an engineer, manager, and project leader. These positions enabled him to apply academic insights to solve real-world engineering problems while fostering stronger connections between research and practice. He has also held leadership roles in European and national research projects, demonstrating the ability to guide interdisciplinary teams and achieve impactful outcomes. His active participation in Erasmus programs and scientific exchanges further broadened his expertise, while his engagement in professional associations has extended his influence within the engineering community.

Research Interest

Prof. Dr. Saulius Baskutis has a diverse range of research interests that reflect his commitment to addressing technological and societal challenges through engineering innovations. His primary focus lies in materials testing, welding processes, and coatings, where he investigates methods to improve durability, performance, and cost-effectiveness in industrial applications. He is also actively engaged in exploring renewable energy sources, with particular attention to sustainable energy production, district heating systems, and the integration of green technologies into industrial processes. His work in logistics and device diagnostics complements these efforts by improving efficiency, safety, and reliability in manufacturing and energy systems. He is keenly interested in the intersection of Industry 4.0 and smart manufacturing, contributing to projects that integrate robotics, automation, and advanced digital technologies. These research interests demonstrate his vision of combining scientific discovery with practical applications to promote sustainable development and enhance global competitiveness in engineering and technological industries.

Research Skill

Prof. Dr. Saulius Baskutis possesses a comprehensive set of research skills that reflect his long-standing academic and industrial experience in engineering. He is highly skilled in experimental methods, particularly in the testing of materials, welding techniques, and coating technologies, where precision and innovation are essential. His ability to design, conduct, and analyze experiments has led to impactful findings published in internationally recognized journals. He demonstrates strong competencies in project management, having successfully led and contributed to national and international research initiatives, including EU-funded programs. His skills extend to collaborative research, working with multidisciplinary teams across Europe to address complex technological challenges. Additionally, he is adept in applying digital tools such as CAD, CAM, and CNC systems to align with Industry 4.0 practices. His ability to bridge theoretical knowledge with applied solutions highlights his strength as both a researcher and innovator, ensuring his contributions remain relevant and forward-looking.

Publications Top Notes

Title: Numerical Method for Internal Structure and Surface Evaluation in Coatings
Authors: Tomas Kačinskas, Saulius Baskutis
Year: 2025

Title: Modeling of Vibrational-Centrifugal Strengthening for Functional Surfaces of Machine Parts
Authors: Vadym Stupnytskyy, Yaroslav Kusyi, Egidijus Dragašius, Saulius Baskutis, Rafal Chatys
Year: 2024

Title: Investigation of the Properties of Anti-Friction Coatings Deposited with Different Casting Methods
Authors: Tomas Kačinskas, Saulius Baskutis, Jolanta Baskutienė, Lina Kavaliauskienė
Year: 2024

Title: Analytical Model of Tapered Thread Made by Turning from Different Machinability Workpieces
Authors: Oleh Onysko, Volodymyr Kopei, Cristian Barz, Yaroslav Kusyi, Saulius Baskutis, Michal Bembenek, Predrag Dašić, Vitalii Panchuk
Year: 2024

Title: Control of the Parameters of the Surface Layer of Steel Parts During Their Processing Applying the Material Homogeneity Criterion
Authors: Kusyi Yaroslav, Stupnytskyy Vadym, Kostiuk Olha, Oleh Onysko, Egidijus Dragašius, Saulius Baskutis, Rafał Chatys
Year: 2024

Title: Simulation and Analytical Studies of Chip Formation Processes in the Cutting Zone of Titanium Alloys
Authors: Vadym Stupnytskyy, Xianning She, Egidijus Dragašius, Saulius Baskutis, Oleh Prodanchuk
Year: 2023

Title: Pool Boiling of Ethanol on Copper Surfaces with Rectangular Microchannels
Authors: Robert Kaniowski, Robert Pastuszko, Egidijus Dragašius, Saulius Baskutis
Year: 2023

Title: Influence of Additives on the Mechanical Characteristics of Hardox 450 Steel Welds
Authors: Saulius Baskutis, Jolanta Baskutiene, Egidijus Dragašius, Lina Kavaliauskiene, Neringa Keršiene, Yaroslav Kusyi, Vadym Stupnytskyy
Year: 2023

Title: Modeling and Simulation of Machined Surface Layer Microgeometry Parameters
Authors: Vadym Stupnytskyy, Egidijus Dragašius, Saulius Baskutis, She Xianning
Year: 2022

Title: Agent-Based Modelling Approach for Autonomous Vehicle Influence on Countries’ Welfare
Authors: Saulius Baskutis, Valentas Gružauskas, Peter Leibl, Linas Obcarskas
Year: 2022

Title: Effect of Chemical Composition of Clay on Physical-Mechanical Properties of Clay Paving Blocks
Authors: Rolandas Avizovas, Saulius Baskutis, Valentinas Navickas, László Tamándl
Year: 2022

Title: Perspectives and Problems of Using Renewable Energy Sources and Implementation of Local “Green” Initiatives: A Regional Assessment
Authors: Saulius Baskutis, Jolanta Baskutiene, Valentinas Navickas, Yuriy Bilan, Wojciech Cieśliński
Year: 2021

Title: Mechanical Properties and Microstructure of Aluminium Alloy AW6082-T6 Joints Welded by Double-Sided MIG Process Before and After Aging
Authors: Saulius Baskutis
Year: 2019

Title: Monitoring of Welding Process Parameters in Gas Tungsten Arc Welding of Carbon Steel Weldments
Authors: Saulius Baskutis
Year: 2019

Title: Effect of Weld Parameters on Mechanical Properties and Tensile Behavior of Tungsten Inert Gas Welded AW6082-T6 Aluminium Alloy
Authors: Saulius Baskutis
Year: 2019

Title: Research on Mechanical Properties of TIG Welded Aluminum Alloy
Authors: Bendikiene R., Baskutis S., Baskutiene J., Ciuplys A.
Year: 2018

Title: Comparative Study of TIG Welded Commercially Pure Titanium
Authors: Saulius Baskutis
Year: 2018

Title: Minimizing the Trade-Off Between Sustainability and Cost Effective Performance by Using Autonomous Vehicles
Authors: Saulius Baskutis
Year: 2018

Title: The Analysis of Dissimilar Metal Weld Joints
Authors: Saulius Baskutis
Year: 2018

Title: Experimental Study of Welded Joints of Aluminium Alloy AW6082
Authors: Baskutis S., Baskutiene J., Bernotaitis E.
Year: 2017

Title: The Vibratory Alignment of the Parts in Robotic Assembly
Authors: Saulius Baskutis
Year: 2017

Title: Influence of Welding Modes on Weldability of Structural Steel Lap Joints in Laser Welding
Authors: Saulius Baskutis
Year: 2017

Title: Warehouses Consolidation in the Logistic Clusters: Food Industry’s Case
Authors: Saulius Baskutis
Year: 2016

Title: Nano and Microhardness Testing of Heterogeneous Structures
Authors: Saulius Baskutis
Year: 2016

Title: The Temperature Control Impact to the Food Supply Chain
Authors: Baskutis S., Navickas V., Gružauskas V., Olencevičiute D.
Year: 2015

Conclusion

Prof. Dr. Saulius Baskutis is highly deserving of the Best Researcher Award for his longstanding dedication to advancing engineering science, particularly in the fields of coatings, welding technologies, renewable energy, and sustainable manufacturing. His significant contributions through impactful publications, leadership in international research projects, and strong collaboration between academia and industry highlight his role in driving innovation and practical solutions for society. With his expertise, professional recognition, and commitment to mentoring future generations, he demonstrates both past excellence and strong potential for continued research leadership and global impact in the years ahead.

Gehendra Sharma | Manufacturing Science | Best Researcher Award

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Mr. Gehendra Sharma | Manufacturing Science | Best Researcher Award

Research Engineer at Mississippi State University, United States

Mr. Gehendra Sharma is a mechanical engineer and research professional with extensive experience in designing, optimizing, and analyzing complex mechanical systems. He has a strong background in coupled system design, robust design, surrogate modeling, finite element modeling, data analysis, and machine learning approaches applied to engineering design. Over his career, he has contributed to national defense projects, biomedical device development, and advanced manufacturing research, demonstrating his ability to translate theoretical methods into practical solutions. He has an impressive publication record, including research in high-quality journals and conferences, reflecting his commitment to advancing engineering knowledge. Alongside his technical expertise, he has been actively involved in mentoring students, leading academic initiatives, and volunteering in social and educational programs. His professional achievements are complemented by his dedication to teaching and knowledge sharing, making him a well-rounded researcher with strong leadership, innovation, and societal impact potential.

Professional Profile 

Google Scholar | Scopus Profile | ORCID Profile

Education

Mr. Gehendra Sharma earned his Master of Science in Mechanical Engineering from the University of Oklahoma, where he focused on designing coupled engineered systems under uncertainty and studied multi-criteria optimization, design theory, data-driven decision making, and applied statistical methods. His research involved integrating robust design methodologies into cloud-based systems to archive design knowledge and support design exploration. Prior to his master’s, he completed his Bachelor of Technology in Mechanical Engineering from Motilal Nehru National Institute of Technology, where he worked on mechanization and prototyping of a domestic roti roller and studied a wide range of mechanical engineering topics including machine design, thermodynamics, fluid mechanics, material science, and computer-aided design. His academic journey has been marked by consistently high performance, merit scholarships, and practical projects that combined theoretical knowledge with hands-on design and experimentation, providing him with a strong foundation in engineering principles, modeling, and system-level problem solving.

Professional Experience

Mr. Gehendra Sharma has worked as a research engineer at the Center for Advanced Vehicular Systems, contributing to projects that enhance defense capabilities, optimize additive manufacturing processes, and develop protective barriers and biomedical devices. He has implemented design optimization, robust design, finite element modeling, surrogate modeling, and machine learning approaches across diverse projects. His earlier experience as a graduate research assistant involved exploring robust solutions for coupled engineered systems, developing decision frameworks, and advancing composite structure design under uncertainty. He has also interned at Tata Research Development & Design Centre, applying robust design methods to composite structures, thermal power plant modeling, and gearbox analysis. Before his research career, he worked as a design engineer at Esco Couplings & Transmissions, leading product development, experimental testing, and manufacturing improvements. Throughout his career, he has consistently bridged academic research and industrial applications, demonstrating expertise in engineering design, analysis, prototyping, and innovation.

Research Interest

Mr. Gehendra Sharma’s research interests focus on design and optimization of mechanical and coupled systems under uncertainty, robust design exploration, surrogate modeling, finite element analysis, data-driven decision making, and machine learning applications in engineering. He has applied these methods in defense-related projects, additive manufacturing optimization, biomedical device design, and lightweight protective structures. He is particularly interested in integrating robust design methodologies with simulation, experimental testing, and predictive modeling to create efficient and reliable solutions for complex engineering problems. His work spans multi-objective optimization, system-level modeling, and development of decision support frameworks to guide engineers in exploring high-dimensional design spaces. He also explores the translation of theoretical methods into practical applications, including real-time monitoring, predictive modeling, and design automation, reflecting a commitment to advancing both the scientific understanding and industrial implementation of innovative engineering solutions.

Award and Honor

Mr. Gehendra Sharma has received multiple recognitions for his contributions to engineering research and innovation. He has been awarded cash prizes for competitions such as hydropower optimization challenges and received distinctions for his papers at international conferences. He has consistently earned merit scholarships and awards during his academic career for outstanding performance and innovation. His research projects have been recognized for excellence in design, robust optimization, and multi-objective engineering solutions. Additionally, he has been acknowledged for leadership in student committees, teaching, and mentoring roles, demonstrating a combination of technical skill and commitment to academic and community development. These awards and honors reflect both his technical expertise and his dedication to advancing engineering knowledge while contributing positively to professional and educational communities.

Research Skill

Mr. Gehendra Sharma possesses a diverse set of research skills, including design of coupled systems, robust and multi-objective design optimization, surrogate modeling, finite element analysis, data analysis, and predictive modeling using machine learning. He is proficient in programming languages such as Python, MATLAB, C, R, and VBA and is skilled in CAD and simulation tools including SolidWorks, Creo, ANSYS, Abaqus, and AutoCAD. He has experience in prototyping, experimental testing, and both destructive and non-destructive testing of components and materials. His research skills also include data-driven decision-making, algorithm development, and integrating theoretical methods into practical engineering solutions. In addition, he has mentoring and teaching skills that support knowledge transfer, enabling others to explore design problems, conduct simulations, and apply advanced methodologies, reflecting his comprehensive capability as a researcher and educator.

Publications Top Notes

Title: An ontology for representing knowledge of decision interactions in decision-based design
Authors: Z Ming, G Sharma, JK Allen, F Mistree
Year: 2020
Citation: 32

Title: A method for robust design in a coupled decision environment
Authors: G Sharma, JK Allen, F Mistree
Year: 2021
Citation: 17

Title: Template-based configuration and execution of decision workflows in design of complex engineered systems
Authors: Z Ming, G Sharma, JK Allen, F Mistree
Year: 2019
Citation: 16

Title: Data driven integrated design space exploration using iSOM
Authors: RR Sushil, M Baby, G Sharma, AB Nellippallil, P Ramu
Year: 2022
Citation: 11

Title: Design of composite structures through decision support problem and multiscale design approach
Authors: RK Pathan, SB Beemaraj, A Salvi, G Sharma, JK Allen, F Mistree
Year: 2019
Citation: 11

Title: Inverse multi-scale robust design of composite structures using design capability indices
Authors: SB Beemaraj, RK Pathan, AG Salvi, G Sharma, F Mistree, JK Allen
Year: 2020
Citation: 8

Title: Classification and execution of coupled decision problems in engineering design for exploration of robust design solutions
Authors: G Sharma, JK Allen, F Mistree
Year: 2019
Citation: 8

Title: Designing concurrently and hierarchically coupled engineered systems
Authors: G Sharma, JK Allen, F Mistree
Year: 2023
Citation: 7

Title: Exploring robust decisions in the design of coupled engineered systems
Authors: G Sharma, JK Allen, F Mistree
Year: 2023
Citation: 6

Title: Designing coupled engineered systems under uncertainty
Authors: G Sharma
Year: 2020
Citation: 5

Title: Multi-objective robust design exploration of a canine ventricular shunt for managing hydrocephalus
Authors: G Sharma, AB Nellippallil, R Yingling, NY Lee, A Shores, R Miralami
Year: 2021
Citation: 3

Title: Thermal Calibration of Finite Element Models in Wire Arc Directed Energy Deposition of ER-120S-G Using Thermocouples and Infrared Cameras
Authors: J Bassett, G Sharma, J Xie, J Storey, HG Kim, T Stone, H Dozier, S Mun
Year: 2025
Citation: 2

Conclusion

Mr. Gehendra Sharma stands out as a deserving candidate for the Best Researcher Award due to his impactful contributions to engineering research, defense applications, and innovative design methods that address real-world challenges. His work demonstrates a balance of academic excellence, industrial relevance, and societal benefit, particularly through projects in national defense, biomedical engineering, and advanced manufacturing. With his strong foundation in research and leadership, he has the potential to become a leading figure in multidisciplinary innovation and global collaborations, making him a valuable contributor to the advancement of science and technology.

Ji Hun Kim | Manufacturing Applications | Best Researcher Award

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Mr . Ji Hun Kim | Manufacturing Applications | Best Researcher Award

Ph.D.Candidate at Seoul National University of Science and Technology, South Korea

Ji Hun Kim is a dynamic and highly accomplished Ph.D. candidate at Seoul National University of Science and Technology (SeoulTech), South Korea, specializing in laser-based manufacturing and optical engineering. With a robust academic background and hands-on industry experience, he has made significant contributions to the fields of precision engineering, laser processing, and optical aberration analysis. His research has been widely published in reputable journals, focusing on advanced materials processing, laser-matter interaction, and heat transfer effects in optical systems. Ji Hun has led and participated in multiple government-funded research projects, demonstrating both leadership and collaborative capabilities. Recognized by prestigious engineering societies with several academic excellence awards, he has emerged as a promising young researcher in advanced manufacturing technologies. Ji Hun’s work is grounded in practical relevance and innovation, making him a strong candidate for academic honors and research-based awards in engineering and applied science.

Professional Profile 

Education🎓

Ji Hun Kim has built a strong academic foundation at Seoul National University of Science and Technology, where he completed his entire higher education journey. He earned his Bachelor of Science (B.S.) degree in 2017, majoring in a field aligned with manufacturing or mechanical engineering. He then pursued and completed a Master of Science (M.S.) degree from the same university in 2019, where he began exploring research topics in laser processing and material behavior. Currently, Ji Hun is a Ph.D. candidate at SeoulTech, working on cutting-edge research involving laser-based micromachining, thermal optics, and smart materials. His academic training has included not just theoretical knowledge but also significant laboratory experience and computational modeling. His progression through successive degrees at a single, research-intensive institution has allowed him to develop in-depth expertise, continuity in his research focus, and strong academic mentorship—making his education both comprehensive and highly specialized in advanced manufacturing technologies.

Professional Experience📝

Alongside his academic pursuits, Ji Hun Kim has accumulated valuable professional experience in South Korea’s defense and industrial sectors. He worked as a Junior Research Engineer at MTG Inc. (2020–2022), where he contributed to the design and development of anechoic chambers used in defense applications, showcasing his understanding of electromagnetic and acoustic insulation technologies. Prior to that, from 2019 to 2020, he served as a Research Associate at Sensor Tech Inc., focusing on chemical detection devices—an experience that merged sensor technology with system integration. These roles have enriched his engineering insight, sharpened his problem-solving skills, and enabled him to apply research knowledge in real-world scenarios. In both positions, Ji Hun was involved in multidisciplinary projects, requiring him to collaborate with teams and translate technical concepts into functional systems. His industrial experience complements his academic research, offering a balanced profile of theoretical depth and applied engineering expertise.

Research Interest🔎

Ji Hun Kim’s research interests lie at the intersection of laser material processing, optical aberrations, and thermal-fluid dynamics in precision manufacturing environments. His work focuses on understanding how laser-induced heat affects the structural and optical properties of advanced materials, particularly carbon fiber reinforced plastics and aluminum alloys. He is passionate about developing high-power, ultrashort pulse laser systems for micromachining, with applications in next-generation display technologies and semiconductor equipment. Ji Hun also investigates the effects of buoyant jet dynamics on optical distortions in laser systems, contributing to better laser beam delivery and processing accuracy. He is keenly interested in the optimization of laser surface treatment processes to improve bonding strength between dissimilar materials, particularly for eco-friendly automotive and aerospace applications. His research is deeply applied, often tied to real-world engineering challenges, and strives to advance both scientific understanding and industrial utility in high-precision laser technologies.

Award and Honor🏆

Ji Hun Kim has received numerous awards that highlight his academic excellence and applied research achievements. In 2025, he was honored with the Best Award for Academic Excellence by the Korean Society of Manufacturing Process Engineers (KSMPE), a distinction he also earned in 2023. His consistent excellence was previously recognized in 2019 by the Korean Society of Manufacturing Technology Engineers (KSMTE). In addition to academic recognition, Ji Hun received the Encouragement Award in 2024 for his outstanding contributions to an industry-university collaborative project at Seoul National University of Science and Technology. His technical credibility was further validated with the Engineer General Machinery Certificate issued by the Ministry of Trade, Industry, and Energy in 2019. These honors reflect his strong standing in Korea’s manufacturing research community and underscore his ability to conduct impactful, innovative, and collaborative research that aligns with national industrial and scientific goals.

Research Skill🔬

Ji Hun Kim possesses a well-rounded and technically robust skill set crucial for advanced manufacturing research. He is proficient in COMSOL Multiphysics, which he uses to simulate thermal and fluid behavior in laser-material interaction scenarios, as well as MATLAB for data analysis, modeling, and algorithm development. His expertise in LabVIEW allows for experimental system automation and real-time data acquisition in laser experiments. Ji Hun has hands-on skills in laser micromachining, laser spectroscopy (LIPS), and surface treatment processes. He is adept at analyzing heat-affected zones, bonding strength, and surface morphology in composite and metallic materials. His ability to integrate experimental setups with computational simulations provides comprehensive insight into process optimization. Furthermore, his experience leading and collaborating on national R&D projects has honed his project planning, data interpretation, and cross-functional teamwork capabilities. Altogether, Ji Hun’s research skills position him as a capable and forward-thinking researcher in high-precision, laser-based manufacturing technologies.

Conclusion💡

Ji Hun Kim is an exceptionally promising early-career researcher whose deep specialization in laser processing and optics, combined with an impressive array of high-quality publications, leadership in national research projects, and recognized academic excellence, make him highly suitable for the Best Researcher Award. With some expansion into international collaborations, interdisciplinary domains, and innovation commercialization, he can become a leading figure in advanced manufacturing research.

Publications Top Noted✍

  • Title: High-Performance Solution Processable Red TADF-OLED with External Quantum Efficiency Exceeding 28% Using a Multi-Resonance Emitter Host
    Authors: (Not fully visible in your message; please provide full names if needed)Journal: Advanced Materials
    Year: 2025
    Citations: 2
  • Title: Enhancing Bond Strength Between Carbon Fiber Reinforced Thermoplastic and Aluminum Alloys Through Laser Surface Treatment
    Authors: (Not fully visible in your message; please provide full names if needed)Journal: International Journal of Precision Engineering and Manufacturing – Green Technology
    Year: 2025

Dr. Caizhi Li | Industrial | Industry Innovator Award

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Dr. Caizhi Li | Industrial | Industry Innovator Award

Doctorate at Air Force Engineering University, China

👨‍🎓 Profiles

Scopus

Orcid

📝 Summary

Dr. Caizhi Li is a dedicated researcher in aeronautical and astronautical sciences, specializing in aerospace composites, wave-absorbing materials, and artificial intelligence applications. With a strong foundation in electrical engineering, aeronautical engineering, and cutting-edge non-destructive testing methods, Dr. Li has contributed significantly to advanced damage detection and intelligent recognition technologies.

🎓 Education

  • PhD in Aeronautical and Astronautical Sciences and Technology
    Air Force Engineering University (2022.03–Present)
  • Master’s in Aeronautical Engineering
    Air Force Engineering University (2019.09–2022.01)
  • Bachelor’s in Electrical Engineering and Automation
    Air Force Engineering University (2015.09–2019.06)

💼 Professional Experience

    • Foundation of National Major Science and Technology Projects of China (No. 2019-Ⅵ-0015-0130)
    • National Science and Technology Major Project (J2019-III-0009-0053)

🔬 Research Interests

  • Aerospace Composites & Wave-Absorbing Materials
    • Damage mechanisms and detection.
  • Non-Destructive Testing (NDT)
    • Certified in Ultrasonic NDT (Level 2), Infrared NDT, and Weak Magnetic NDT.
  • Artificial Intelligence
    • Applications in object detection, image segmentation, and signal recognition.

 

Publications

TranSR-NeRF: Super-resolution neural radiance field for reconstruction and rendering of weak and repetitive texture of aviation damaged functional surface

  • Authors: HU, Q., XU, H., WEI, X., HAN, X., LI, C.
  • Journal: Chinese Journal of Aeronautics
  • Year: 2024

Aeroengine Blades Damage Detection and Measurement Based on Multimodality Fusion Learning

  • Authors: Wu, X., Wei, X., Xu, H., He, W., Zhou, L.
  • Journal: IEEE Transactions on Instrumentation and Measurement
  • Year: 2024

PointCNT: A One-Stage Point Cloud Registration Approach Based on Complex Network Theory

  • Authors: Wu, X., Wei, X., Xu, H., Yin, Y., He, W.
  • Journal: Remote Sensing
  • Year: 2023

Study on intelligent and visualization method of ultrasonic testing of composite materials based on deep learning

  • Authors: Hu, Q., Wei, X., Guo, H., He, W., Pei, B.
  • Journal: Applied Acoustics
  • Year: 2023

Study on the impact erosion wear resistance and damage evolution of TiN films under different impact cycles

  • Authors: Wang, S., He, W., Zhang, H., Li, C., Zhang, Y.
  • Journal: Thin Solid Films
  • Year: 2023

Assoc Prof Dr. Shiwei Liu | Industrial | Best Researcher Award

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Assoc Prof Dr. Shiwei Liu | Industrial | Best Researcher Award

Shiwei Liu at Huazhong Agricultural University, China

Profiles

Scopus

Orcid

Education

  • Ph.D. in Mechanical Engineering – Huazhong University of Science and Technology (HUST), 2019
  • M.E. in Measurement Technology and Instrumentation – HUST, 2016
  • B.E. in Mechanical Design Manufacturing and Automation – Hubei University of Technology, 2014

💼 Professional Experience

Assoc Prof Dr. Shiwei Liu has extensive professional experience in the field of engineering and research. He has been an Associate Professor and Doctoral Supervisor at Huazhong Agricultural University since April 2022, leading the Intelligent Nondestructive Testing and Digital Equipment Group. Prior to this role, he served as a Postdoctoral Research Fellow at Huazhong University of Science and Technology from June 2019 to March 2022, focusing on advanced nondestructive testing methodologies. Liu earned his Ph.D. in Mechanical Engineering from HUST in 2019, along with a Master’s degree in Measurement Technology and Instrumentation. His academic foundation includes a Bachelor’s degree in Mechanical Design Manufacturing and Automation from Hubei University of Technology. Throughout his career, he has made significant contributions to research, teaching, and the development of innovative technologies.

🔬 Research Interests

  • Nondestructive testing (NDT) techniques
  • Structural health monitoring
  • Advanced sensor development
  • AI algorithms and pattern recognition

🏆 Honors & Awards

  • Best Researcher Award, International Research Awards on High Energy Physics and Computational Science, 2024
  • Best Paper Award, ICMSD 2023
  • National Scholarship for Doctoral Candidates, Ministry of Education of China, 2018

 

Publications

Wavelet structuring element-based morphological filtering method in wire rope inspection signal denoising

  • Authors: Liu, S., Shan, L., Liu, Y., Sun, Y., He, L.
  • Journal: Structural Health Monitoring
  • Year: 2024

Magnetic focusing sensor and its characterizations of defect non-destructive testing for ferromagnetic steel plate

  • Authors: Liu, S., Hua, X., Liu, Y., Lin, W., Wang, Q.
  • Journal: NDT and E International
  • Year: 2024

Nondestructive testing of runny salted egg yolk based on improved ConvNeXt-T

  • Authors: Chen, H., Chang, Y., Chen, Y., Liu, S., Wang, Q.
  • Journal: Journal of Food Science
  • Year: 2024

Brownian motion based multi-objective particle swarm optimization methodology and application in binary classification

  • Authors: Liu, S., Liu, Y., Wang, Q., Sun, Y., He, L.
  • Journal: Applied Soft Computing
  • Year: 2024

Hybrid Conditional Kernel SVM for Wire Rope Defect Recognition

  • Authors: Liu, S., Liu, Y., Shan, L., Sun, Y., He, L.
  • Journal: IEEE Transactions on Industrial Informatics
  • Year: 2024

Jonas Jose-Perez Bravo-Industrial-Best Researcher Award

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Dr. Jonas Jose-Perez Bravo-Industrial-Best Researcher Award

University Carlos III of Madrid-Spain 

Author Profile

Early Academic Pursuits

Dr. Jonas Jose Perez Bravo began his academic journey at the University of Buenos Aires (UBA) in Argentina, where he was awarded a CONICET Doctoral Fellowship at the UBA Engineering School. From 2014 to 2019, Perez Bravo focused on the development of controlled-release fertilizers using low-cost biodegradable polymers. His research was not only innovative but also had significant practical applications. By creating biopolymeric matrices, he was able to advance food preservation technologies, contributing to a more sustainable approach in agricultural practices.

Professional Endeavors

After completing his PhD, Dr. Jonas Jose Perez Bravo continued his work as a CONICET Postdoctoral Fellow from 2019 to 2022. During this period, he delved into the development of nanostructured composites for water treatment. His expertise in material science and engineering was evident as he secured a PICT-funded project, acting as the principal investigator. This project underscored his capability to lead significant research initiatives and develop practical solutions to environmental challenges.

Contributions and Research Focus

Dr. Jonas Jose Perez Bravo research trajectory took an international turn when he was awarded the BEWARE Fellowship (MSCA-PF COFUND) at the University of Mons (UMONS) in Belgium, where he collaborated with TotalEnergies. From 2022 to 2024, he worked on mechanical recycling technologies, particularly focusing on the degradation and kinetic reactions of (r)-POs. This project, titled "Study of (r)-POs degradation: Deep Understanding & Kinetic Reaction (REXCYCLING)," highlighted his ability to integrate industrial partnerships with academic research, thereby enhancing the impact and applicability of his work.

Currently, as a YUFE Postdoctoral Fellow (MSCA COFUND) at the University Carlos III of Madrid (UC3M), Perez Bravo is developing sustainable hydrophobic chitin fibers to reinforce plastics. This project, "Renewable and Eco-Friendly Modified Chitin Fibers to Improve Properties of Mechanically Recycled Polypropylene (ReMoFi)," supervised by Prof. Javier Gonzalez Benito, aims to create renewable and eco-friendly materials that can improve the properties of recycled plastics. This research aligns with global efforts to enhance sustainability in materials science and engineering.

Accolades and Recognition

Throughout his career, Dr. Jonas Jose Perez Bravo has been recognized for his contributions to material science and engineering. His work has been supported by prestigious fellowships, including those from CONICET and the European Commission’s MSCA-PF COFUND programs. These accolades reflect his commitment to advancing scientific knowledge and addressing critical environmental issues through innovative research.

Impact and Influence

Dr. Jonas Jose Perez Bravo's research has had a significant impact on various fields, including agriculture, water treatment, and materials recycling. His development of controlled-release fertilizers using biodegradable polymers has provided a sustainable solution for agricultural practices, reducing environmental impact while enhancing crop yields. Similarly, his work on nanostructured composites for water treatment has contributed to more efficient and effective methods for purifying water, addressing a vital need in many parts of the world.

His collaboration with TotalEnergies on mechanical recycling technologies has also been influential, as it has provided deeper insights into the degradation and recycling processes of polymers. This research is crucial for developing more sustainable recycling practices and reducing the environmental footprint of plastic waste.

Legacy and Future Contributions

Looking ahead, Dr. Jonas Jose Perez Bravo's legacy will likely be marked by his contributions to sustainable materials science. His ongoing research at UC3M on renewable and eco-friendly chitin fibers holds promise for significant advancements in the field of recycled plastics. By improving the properties of recycled materials, his work could lead to broader acceptance and use of recycled plastics in various industries, thereby promoting a more circular economy.

Perez Bravo's commitment to sustainability and innovation in materials science positions him as a leading figure in his field. His ability to integrate academic research with practical applications and industrial partnerships ensures that his contributions will continue to have a lasting impact on both scientific communities and broader society.

Conclusion

Dr. Jonas Jose Perez Bravo's career exemplifies a blend of academic excellence, innovative research, and practical impact. From his early work on biodegradable polymers and controlled-release fertilizers to his current focus on sustainable chitin fibers, his contributions have addressed critical environmental challenges and advanced the field of materials science. His accolades and recognition reflect his dedication and influence, while his ongoing research promises to leave a lasting legacy in sustainable materials engineering.

Citations

  • Citations    383
  • h-index          6
  • i10-index       6

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