Vahid Salarvand |Mechanical| Excellence in Research

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Dr. Vahid Salarvand |Mechanical| Excellence in Research

Imam Khomeini International University,Iran

Dr. Vahid Salarvand is a distinguished academic and researcher affiliated with Imam Khomeini International University (IKIU) in Iran. He holds a significant role in his field, contributing to both teaching and research at the university. With a background in [insert specific field of study], Dr. Salarvand has garnered expertise in [mention specific research areas or specialties]. Throughout his career, he has been involved in various scholarly publications and academic collaborations, contributing to advancements in his field. Dr. Salarvand’s dedication to higher education and research has made him a respected figure at Imam Khomeini International University.

Summary:

Dr. Vahid Salarvand is a highly skilled and dedicated researcher in the fields of materials engineering and electrochemical performance. His academic background, combined with a rich set of technical skills and significant contributions to advanced materials synthesis, makes him a strong candidate for the “Excellence in Research” award. His ability to link fundamental research with industrial applications demonstrates a solid foundation for continued success and innovation.

 

Professional Profiles:

Scopus

🎓 Education :

Vahid Salarvand is currently pursuing a Ph.D. in Materials Engineering and Metallurgy at the Department of Materials Science and Engineering at Imam Khomeini International University, Iran, starting in 2022. His doctoral research focuses on materials science, and he is actively contributing to innovative work in the field. He completed his M.S. in Materials Engineering and Metallurgy at the same university from 2015 to 2018, where his thesis focused on the “Synthesis and characterization of nanostructure molybdenum nickel alloy produced by mechanical milling.” He also holds a B.S. in Mechanical Engineering, specializing in construction and production, from Saman Al-Hajj Technical and Vocational School, Mashhad, Iran (2013-2015).

 

🏢 Experience:

Vahid Salarvand has significant professional experience in the industry, having worked as a Quality Control Manager at Carno Ideal Arman Company from 2020 to 2023. During this role, he oversaw the quality assurance processes, ensuring that production standards were met, which aligns with his technical and engineering expertise.

🛠️Skills:

Synthesis of materials using hydrothermal methods.,Proficient in additive manufacturing using Fused Deposition Modeling (Ender 5) and Digital Light Processing (Anycubic Photon M3 Max).,Skilled in light microscopy, X-ray diffraction (XRD), and metallography (mounting and polishing).,Experienced in heat treatment using Carbolite Tube Furnace (CTF 3 1600) for material processing.

 

Research Focus :

His research focuses on the synthesis and characterization of advanced materials for applications in energy systems, corrosion resistance, and electrocatalysis. His work in electrochemical processes, especially for hydrogen evolution reactions and water splitting, reflects his deep understanding of materials science.

 

🔬Awards:

Vahid’s notable accomplishments include an international patent for an invention entitled “NiMo-MoO2 catalyst synthesis process” (Class B01J 37.03 C22C 1.05). He has also conducted an industrial thesis under the supervision of the Nano Wealth Development Headquarters, which reflects his strong collaboration with industry and research communities.

Conclusion:

Dr. Salarvand’s strengths in both academic and industrial research, along with his passion for advancing materials science, align well with the criteria for “Excellence in Research.” By furthering his collaborations and seeking additional funding opportunities, he could significantly increase his impact. Based on his current achievements and future potential, he stands out as a deserving candidate for the award, showcasing a strong commitment to innovation and research excellence.

 Publications:

  • Microstructure, mechanical properties, and corrosion resistance of dissimilar weld joints between SS304 and Inconel 600 welded using gas tungsten arc welding
    • Authors: Salarvand, V., Ahmadian, F., Torabpour, M., Mostafaei, A., Brabazon, D.
    • Journal: International Journal of Pressure Vessels and Piping
    • Year: 2024
    • Citations: 0

 

  • Facile hydrothermal synthesis of combined MoSe2PS nanostructures on nickel foam with superior electrocatalytic properties for hydrogen evolution reaction
    • Authors: Salarvand, V., Abedini Mohammadi, M., Yousefifar, A., Yazdi, M.S., Mostafaei, A.
    • Journal: International Journal of Hydrogen Energy
    • Year: 2023
    • Citations: 9

 

  • In-situ hydrothermal synthesis of NiCo(X)Se compound on nickel foam for efficient performance of water splitting reaction in alkaline media
    • Authors: Salarvand, V., Abedini Mohammadi, M., Ahmadian, F., Saghafi Yazdi, M., Mostafaei, A.
    • Journal: Journal of Electroanalytical Chemistry
    • Year: 2022
    • Citations: 10

 

  • Microstructure and corrosion evaluation of as-built and heat-treated 316L stainless steel manufactured by laser powder bed fusion
    • Authors: Salarvand, V., Sohrabpoor, H., Mohammadi, M.A., Mostafaei, A., Brabazon, D.
    • Journal: Journal of Materials Research and Technology
    • Year: 2022
    • Citations: 21

 

  • Production and characterization of high-performance cobalt–nickel selenide catalyst with excellent activity in HER
    • Authors: Ahmadian, F., Salarvand, V., Saghafi, M., Noghani, M.T., Yousefifar, A.
    • Journal: Journal of Materials Research and Technology
    • Year: 2021
    • Citations: 7

 

  • Microstructural and mechanical evaluation of post-processed SS 316L manufactured by laser-based powder bed fusion
    • Authors: Sohrabpoor, H., Salarvand, V., Lupoi, R., Choi, C.-H., Brabazon, D.
    • Journal: Journal of Materials Research and Technology
    • Year: 2021
    • Citations: 33

 

  • Synthesis, Characterization, and Investigation of Hydrogen Evolution Activity of Ni-Mo/Al2O3 Composite
    • Authors: Salarvand, V., Mahmoodi, H., Ahmadian, F., Saghafi, M., Noghani, M.T.
    • Journal: ChemistrySelect
    • Year: 2020
    • Citations: 4

 

  • Investigation of microstructure and corrosion resistance of AISI 304 stainless steel joint with ER308 and ERNiCr-3 filler metals by GTAW
    • Authors: Jafarzadegan, M., Ahmadian, F., Salarvand, V., Kashkooli, S.
    • Journal: Metallurgical Research and Technology
    • Year: 2020
    • Citations: 3

 

  • Hydrogen evolution activity of NiMo-MoO2 produced by mechanical milling
    • Authors: Salarvand, V., Saghafi, M., Noghani, M.T.
    • Journal: Journal of Ultrafine Grained and Nanostructured Materials
    • Year: 2019
    • Citations: 5

 

  • Charge storage properties of mixed ternary transition metal ferrites MZnFe oxides (M = Al, Mg, Cu, Fe, Ni) prepared by hydrothermal method
    • Authors: Saghafi, M., Hosseini, S.A., Zangeneh, S., Vahedi, S., Mohajerzadeh, S.
    • Journal: SN Applied Sciences
    • Year: 2019
    • Citations: 17

 

Jiangbo Xu | Slope engineering |Best Researcher Award

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Mr. Jiangbo Xu | Slope engineering |Best Researcher Award

Mrs.Jiangbo Xu,Chang’an University,China

Mrs. Jiangbo Xu is a distinguished academic and researcher at Chang’an University in China. With a focus on advancing research in her field, she has made notable contributions to the academic community through her work in engineering and technology. At Chang’an University, Mrs. Xu engages in pioneering studies and development, driving innovations that impact both academia and industry. Her dedication to research excellence and educational advancement has positioned her as a respected figure in her discipline.

Summary:

Mrs. Jiangbo Xu is an accomplished researcher with a strong foundation in geotechnical engineering. Her work combines technological innovation with sustainable practices, addressing real-world challenges in infrastructure and environmental protection. Through her role as a doctoral supervisor and her extensive research output, she contributes both to academic knowledge and to practical advancements in her field. Her leadership in projects backed by major research grants highlights her capabilities in driving impactful studies, and her publications affirm her standing as a respected researcher in geotechnical engineering.

Professional Profiles:

 Scopus

🎓 Education :

Ph.D. in Geological Engineering,Institute of Geology and Geophysics, Chinese Academy of Sciences,Advisor: Professor Wu Faquan
2008.09–2014.07,Master’s in Geotechnical Engineering,Wuhan Institute of Rock and Soil Mechanics, Chinese Academy of Sciences
Advisors: Professors Zheng Yingren and Feng Xiating
2008.09–2011.07,Bachelor’s in Civil Engineering,China University of Geosciences (Beijing),2004.09–2008.07

🏢 Experience:

Associate Professor in Geotechnical Engineering | 2018.11–Present,Doctoral Supervisor | 2020.01–Present,Master’s Supervisor in Geotechnical Engineering | 2017.11–Present,Lecturer in Geotechnical Engineering | 2014.07–2018.11

🛠️Skills:

Geotechnical Engineering: Expertise in soil mechanics, rock mechanics, slope stability, and geotechnical monitoring.,Digital Perception Systems: Development of intelligent monitoring systems for geotechnical engineering, focusing on applications in infrastructure like tunnels and slopes.,Numerical Simulation: Proficient in finite element analysis, numerical simulation techniques, and computational modeling of geotechnical issues.,Environmental Impact and Carbon Emission: Specialized in carbon emissions reduction strategies for infrastructure projects, particularly highway subgrade slopes and slope ecological protection.,Research and Analysis: Strong analytical skills in geotechnical project design, materials assessment, and hazard identification.

Research Focus :

2024,Application of Permeation Crystallization Materials in Concrete Crack Repair | Shaanxi Provincial Department of Science and Technology,Digital Perception and Intelligent Decision-Making System for Geotechnical Engineering | Shaanxi Province “Scientist + Engineer” Project,Slope Digital Collaborative Perception and Intelligent Decision-making System | Xi’an Science and Technology Bureau,2023,Ecological Protection of Highway Subgrade Slopes with Carbon Emission Algorithms | Sichuan Communications Investment Design & Consultation Research Institute Co., Ltd.,Rocky Collapse Hazards Monitoring at Tunnel Entrances | Shaanxi Provincial Department of Transportation2022,Prevention Technologies for Railway Tunnel Defects | China Railway First Survey and Design Institute Group Co., Ltd.

🔬Awards:

Shaanxi Provincial Science and Technology Award for advancements in geotechnical digital monitoring systems.,Chang’an University Outstanding Research Award for contributions to geotechnical engineering education and innovation.

Conclusion:

Mrs. Jiangbo Xu is a strong candidate for the Research for Best Researcher Award. Her achievements in advancing sustainable geotechnical engineering and her contributions to knowledge and practice make her well-suited for this recognition. With opportunities to expand her international influence and further diversify her research, her career trajectory indicates continued and growing impact in her field.

Publications :

  • Concrete crack recognition and geometric parameter evaluation based on deep learning
    • Authors: Shaowei, W., Jiangbo, X., Xiong, W., Zixuan, Z., Xinyu, C.
    • Journal: Advances in Engineering Software
    • Year: 2025

 

  • Experimental study on seismic characteristics of slope supported by long-short composite anti-slide piles
    • Authors: Lai, J., Liu, Y., Liu, Y., Jiangbo, X.
    • Journal: Scientific Reports
    • Year: 2024

 

  • Study on the correlation between pore structure characterization and early mechanical properties of foamed concrete based on X-CT
    • Authors: Zhao, D., Xu, J., Han, Z., Liu, Y., Yang, X.
    • Journal: Construction and Building Materials
    • Year: 2024

 

  • Research on the method of determining landslide threshold based on accelerating point dynamic identification
    • Authors: Hou, X., Liu, Y., Xu, J., Chen, S., Zhang, X.
    • Journal: Landslides
    • Year: 2024

 

  • Influence of phyllite aspect ratio under static and dynamic compression
    • Authors: Xu, J., Yu, Y., Sun, G., Lai, J., Wang, L.
    • Journal: Chongqing Daxue Xuebao/Journal of Chongqing University
    • Year: 2024
  • Ground Deformation of Shield Tunneling through Composite Strata in Coastal Areas
    • Authors: Wu, X., Xu, J., Wang, S., Qiao, W., Zeng, X.
    • Journal: Buildings
    • Year: 2024
  • Parallel finite layer method for land subsidence and its homotopy parameter inversion
    • Authors: Wang, S., Xu, J., Xu, J.
    • Journal: Environmental Modelling and Software
    • Year: 2024

 

  • Study on Slope Monitoring and Stability Based on Bolt–Cable Combined Support
    • Authors: Liu, Y., Lai, J., Xu, J.
    • Journal: Buildings
    • Year: 2024

 

  • Numerical Study on Permeability of Reconstructed Porous Concrete Based on Lattice Boltzmann Method
    • Authors: Zhao, D., Xu, J., Wang, X., Zhang, J., Sun, R.
    • Journal: Buildings
    • Year: 2024

 

  • Investigation into the degradation patterns of the physical and mechanical characteristics of phyllite within a hydrothermal environment
    • Authors: Xu, J., Zeng, X., Sun, H., Zhao, D., Qi, Y.
    • Journal: Bulletin of Engineering Geology and the Environment
    • Year: 2024

 

Harish Pulluri | Power |Excellence in Research

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Dr.Harish Pulluri | Power | Excellence in Research

Dr. Harish Pulluri, Anurag University,India.

Dr. Harish Pulluri is a prominent faculty member at Anurag University in India, specializing in [insert specific field or area of expertise]. With a robust academic background and a commitment to research, he has made significant contributions to [mention notable projects or publications]. Dr. Pulluri is passionate about enhancing student learning experiences and actively promotes innovative teaching methods within his courses. His dedication to education and research continues to inspire both students and colleagues alike.

Summary:

Dr. Harish Pulluri is a prominent faculty member at Anurag University, recognized for his contributions to [specific field or area of expertise]. With a robust academic background and a passion for research, he has made significant strides through various projects and publications. His commitment to enhancing student learning experiences and promoting innovative teaching methods underscores his dedication to education.

Professional Profiles:

Google Scholar

🎓 Education :

Dr. Pulluri earned his Ph.D. from the National Institute of Technology Hamirpur, specializing in optimal power flow methods. He also holds a Master of Technology in Electrical Power Systems from JBIET and a Bachelor of Technology in Electrical and Electronics Engineering from VCE, all completed with first-class distinctions.

🏢 Experience:

Currently an Associate Professor in the Electrical & Electronics Engineering Department at Anurag University, Dr. Pulluri has accumulated significant teaching and research experience across various institutions, including Geethanjali College of Engineering & Technology and the National Institute of Technology Hamirpur. His roles have spanned from teaching assistant and research associate to his current position, where he is involved in mentoring students and guiding research projects.

🛠️Skills:

Dr. Harish Pulluri possesses extensive expertise in Electrical Power Systems, Power System Optimization, Metaheuristic Techniques, and Computer Aided Power System Analysis. Proficient in utilizing optimization toolboxes in MATLAB, he is well-versed in renewable energy sources and their applications.

Research Focus :

Dr. Pulluri’s research primarily centers around optimal power flow using metaheuristic approaches, with a keen interest in the optimization of electrical power systems. He has published numerous papers in international journals, focusing on topics such as multi-objective hydrothermal scheduling and economic dispatch with valve point loading. His work often explores innovative algorithms and their applications in enhancing power system performance and efficiency.

🔬Awards:

Throughout his career, Dr. Pulluri has received various recognitions, including serving as a coordinator for several technical events and short-term courses. He has delivered expert talks on energy harvesting technologies and research methodologies, contributing to the academic community and fostering innovation within the field of electrical engineering.

 

Conclusion:

Dr. Pulluri is a strong candidate for the Best Researcher Award, given his expertise, impactful contributions, and commitment to innovative teaching. While there are opportunities for him to broaden his research visibility and engagement, his influence as an educator and researcher is commendable. His dedication continues to inspire both students and colleagues, positioning him as a leader in his field.

Publications :

  • Pulluri, H., Naresh, R., & Sharma, V. (2017). An enhanced self-adaptive differential evolution based solution methodology for multiobjective optimal power flow. Applied Soft Computing, 54, 229-245.
  • Pulluri, H., Naresh, R., & Sharma, V. (2018). A solution network based on stud krill herd algorithm for optimal power flow problems. Soft Computing, 22, 159-176.
  • Basetti, V., Rangarajan, S. S., Shiva, C. K., Pulluri, H., Kumar, R., & Collins, R. E. (2021). Economic emission load dispatch problem with valve-point loading using a novel quasi-oppositional-based political optimizer. Electronics, 10(21), 2596.
  • Rao, U. M., Pulluri, H., & Kumar, N. G. (2018). Performance analysis of transformer oil/paper insulation with ester and mixed dielectric fluids. IEEE Transactions on Dielectrics and Electrical Insulation, 25(5), 1853-1862.
  • Pulluri, H., Naresh, R., & Sharma, V. (2017). Application of stud krill herd algorithm for solution of optimal power flow problems. International Transactions on Electrical Energy Systems, 27(6), e2316.
  • Vedik, B., Shiva, C. K., & Harish, P. (2020). Reverse harmonic load flow analysis using an evolutionary technique. SN Applied Sciences, 2(9), 1584.
  • Pulluri, H., Vyshnavi, M., Shraddha, P., Sai Priya, B., Sri Hari, T., & Preeti. (2020). Genetic algorithm with multi-parent crossover solution for economic dispatch with valve point loading effects. Innovations in Electrical and Electronics Engineering: Proceedings of the …
  • Pulluri, H., Goutham Kumar, N., Rao, U. Mohan, Preeti, & Kumar, M. G. (2019). Krill Herd Algorithm for solution of economic dispatch with valve-point loading effect. Applications of Computing, Automation and Wireless Systems in Electrical …
  • Sharma, V., Naresh, R., & Pulluri, H. (2016). Automatic generation control of multi-source interconnected power system including DFIG wind turbine. 2016 IEEE 1st International Conference on Power Electronics, Intelligent …
  • Vedik, B., Shiva, C. K., & Harish, P. (2020). Reverse harmonic load flow analysis using an evolutionary technique. SN Applied Sciences, 21584.
  • Pulluri, H., Naresh, R., & Sharma, V. (2016). A new colliding bodies optimization for solving optimal power flow problem in power system. 2016 IEEE 6th International Conference on Power Systems (ICPS), 1-6.
  • Srihari, T., Boppa, M., Anil Kumar, S., & Pulluri, H. (2020). The application of genetic algorithm with multi-parent crossover to optimal power flow problem. Innovations in Electrical and Electronics Engineering: Proceedings of the …
  • Dahiya, P., Dogra, S., Sharma, V., Pulluri, H., Gouthamkumar, N., & Rao, U. Mohan. (2019). Performance Analysis of Classical Controllers Tuned Using Heuristic Approaches for Frequency Regulation. Applications of Computing, Automation and Wireless Systems in Electrical …
  • Kalyan, C. H. N. S., Anusree, K., Goud, B. S., Pulluri, H., Gopi, P., & Sekhar, B. (2022). Falcon optimization algorithm based regulator for the study of automatic load frequency control. 2022 3rd International Conference on Communication, Computing and Industry 4 …
  • Mahender, K., Vyshnavi, M., Patange, S., & Pulluri, H. (2020). Solution of optimal power flow problem using colliding bodies optimization. AIP Conference Proceedings, 2269(1).
  • Sharma, V., Naresh, R., & Pulluri, H. (2015). Automatic generation control using disrupted gravitational search algorithm based proportional integral derivative controller. 2015 2nd International Conference on Recent Advances in Engineering …
  • Pulluri, H., Preeti, B., Vedik, B., & Kumar, T. A. (2022). A New Genetic Algorithm Variant Designed for Dynamic Economic Dispatch. Proceedings of 3rd International Conference on Machine Learning, Advances in …
  • Pulluri, H., Naresh, R., & Sharma, V. (2015). Solving non-convex and non-linear optimal power flow problems using colliding bodies optimization. 2015 2nd International Conference on Recent Advances in Engineering …
  • Pulluri, H., Basetti, V., Goud, B. Srikanth, & Kalyan, C. H. N. S. (2024). Exploring Evolutionary Algorithms for Optimal Power Flow: A Comprehensive Review and Analysis. Electricity, 5(4), 712-733.
  • Pulluri, H., Preeti, P., Kumar, T. A., Vedik, B., & Mahender, K. (2024). Heuristic algorithm based solution to dynamic economic dispatch problem. AIP Conference Proceedings, 2900(1).

Mr . Francisco José Martínez Peral | Computer aided machine design | Best Researcher Award

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Mr . Francisco José Martínez Peral | Computer aided machine design | Best Researcher Award

Mr . Francisco José Martínez Peral ,Universidad Miguel Hernández de Elche,Spain

Mr. Francisco José Martínez Peral is an esteemed faculty member at the Universidad Miguel Hernández de Elche in Spain. With a strong academic background and extensive experience in his field, Mr. Martínez Peral has made significant contributions to both teaching and research. His areas of expertise include  and he has been actively involved in numerous research projects and publications. Mr. Martínez Peral is dedicated to advancing knowledge and fostering innovation within his discipline, making him a respected figure in the academic community.

 

Professional Profiles:

Scopus

Education :

Bachelor’s Degree in Industrial Electronic and Automatic Engineering
Universidad Miguel Hernández de Elche,September 24, 2021,Average Grade: 7.41,Honors in Technical Drawing, Electronic Systems Design, and State Space Control,Master’s Degree in Robotics,Universidad Miguel Hernández de Elche,July 15, 2022,Average Grade: 9.00,Perfect Grades (10) in Bachelor’s and Master’s Theses

Experience:

,Average Grade: 7.41,Honors in Technical Drawing, Electronic Systems Design, and State Space Control,Bachelor’s Degree in Industrial Electronic and Automatic Engineering,Universidad Miguel Hernández de Elche,September 24, 2021,Master’s Degree in Robotics,Universidad Miguel,Hernández de Elche,July 15, 2022,Average Grade: 9.00,Perfect Grades (10) in Bachelor’s and Master’s Theses

Skills:

Robotics: Programming ABB robots, designing robotic stations,Computer Vision: Experience with vision recognition and optimization processes,Programming Languages: Python, RAPID, C++,Software: RobotStudio, AutoCAD, TIA Portal,Technical Expertise: Technical Drawing, Electronic Systems Design, State Space Control

Awards:

    • Top Graduate Recognition: Spanish Society of Academic Excellence – National Ranking of Industrial Electronic and Automatic Engineering

Research Focus:

Bachelor’s Thesis: “Programming of ABB robots for automated production tasks”,Design and programming of a robotic station for Pick&Place process of shoe templates,Utilized Python and RobotStudio,Master’s Thesis: “Programming of ABB robots for an automated Pick&Place process of pieces from the textile and leather sector with Vision recognition”,Focused on programming a robotic station with Computer Vision to optimize Pick&Place processes

Publications :

Manipulation Order Optimization in Industrial Pick-and-Place Operations: Application to Textile and Leather Industry

  • Authors: F.J. Martínez-Peral, H. Migallón, J. Borrell-Méndez, M. Martínez-Rach, C. Pérez-Vidal

 

Development of a Tool to Manipulate Flexible Pieces in the Industry: Hardware and Software

  • Authors: F.J. Martínez-Peral, J. Borrell Méndez, J.V. Segura Heras, C. Perez-Vidal

 

Multi-Arm Trajectory Planning for Optimal Collision-Free Pick-and-Place Operations

  • Authors: D. Mateu-Gomez, F.J. Martínez-Peral, C. Pérez-Vidal

 

 

 

 

 

 

Xianyi Zeng | Design of mechanical| Outstanding Scientist Award

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Prof. Xianyi Zeng | Design of mechanical| Best Researcher Award

Prof. Xianyi Zeng ,ENSAIT Engineer School, University of Lille,France

Prof. Xianyi Zeng is a distinguished professor at ENSAIT Engineer School, University of Lille, France. He is renowned for his contributions to textile engineering and smart textiles. Prof. Zeng’s research interests include intelligent textile systems, human-computer interaction, and artificial intelligence applications in textile manufacturing. He has published numerous articles in high-impact journals and has been actively involved in various international research projects. Prof. Zeng is also a respected member of several scientific committees and serves as a reviewer for numerous academic journals. His work has significantly advanced the integration of technology in the textile industry, making him a leading figure in his field.

 

Professional Profiles:

Google Scholar 

Education :

10/2000: Habilitation à Diriger des Recherches (Full Professor’s Qualification) in Automation and Industrial Information Technology, Université des Sciences et Technologies de Lille, France.
Thesis Title: Learning from Data for Characterization of Complex Systems,2/1992: Ph.D., Centre d’Automatique, Université des Sciences et Technologies de Lille, France.,Thesis Title: Controlling Dynamic Processes Using Statistical Sampling,7/1988: DEA (M.Sc.), Centre d’Automatique, Université des Sciences et Technologies de Lille, France.
Major: Robotics,7/1986: B. Eng., Department of Computer Science and Technology, Tsinghua University, China.
Major: Artificial Intelligence

 Experience:

9/01-present: Professor (Exceptional Class, Level 2), ENSAIT (Ecole Nationale Supérieure des Arts et Industries Textiles),10/18-present: Director of the GEMTEX National Research Laboratory,9/96-8/01: Associate Professor (Maître de Conférences, 1st Class), ENSAIT,9/93-8/96: Assistant Professor (Maître de Conférences, 2nd Class), ENSAIT,9/91-7/93: Teaching and Research Assistant, ENSAIT,09/11-present: IEEE Senior Member,05/13-present: Chair of the Human-Machine Group of GRAISyHM (Regional Research Association in Automation and Information Technology)

Awards:

Best Paper Award: WAC2000 (World Automation Congress), Hawaii, USA (June 2000),Best Paper Award: Journal of Mathematics and Computers in Simulation (2008),Research and Ph.D. Supervision Award: French Ministry of Education (since 1995),Medal of Honorary Doctor: Technical University of Iasi, Romania (2019),“Chevalier dans l’Ordre des Palmes Académiques”: French National Knight Award (September 2019),Research and Development Award: France-China Committee – MEDEF (2021),Innovation Award: EU Innovation Radar (2021),Top-10 Innovation Leaders of Overseas Chinese in Europe (2022),Medal of Honorary Doctor: University of Boras, Sweden (2024)

Research Activities

General Research Interests

Artificial intelligence-based industrial product design by integrating measured data, human professional knowledge, and consumer perception.

Scientific Results:

Supervisor of PhD Students: 45 (40 defended, 5 in progress),Supervisor of Post-doctoral and Invited Researchers: 15,Supervisor of DEA Students (Master of Science): 30+,Supervisor of Engineer Students (Master of Engineering): 200+,Supervisor of HDR (Habilitation à Diriger des Recherches): 3,Collaborative Research Projects with Public Funding: 12 (EU-H2020, ANR, FUI, etc.),Industrial Contracts for Research Projects: 20 (DECATHLON, UNILEVER, HERMES, DAMART, etc.),Peer-reviewed International Journal Papers: 160 (SCI Index),Scientific Book Chapters: 20,Peer-reviewed International and National Conference Papers: 250 (EI Index),Invited Plenary or Keynote Presentations: 25,Invited Talks: 26,Scientific Books: 3 (published by Springer in 2004, 2007, and 2018),Patent: 1 (Intelligent Garment Design)

Publications :

  • A Sustainable Supply Chain Design for Personalized Customization in Industry 5.0 Era
    X. Wang, Y. Xue, J. Zhang, Y. Hong, S. Guo, X. Zeng, IEEE Trans. on Industrial Informatics, Vol. 20, No. 6, 2024, pp. 8786-8797
  • An Interactive Knowledge-based Recommender System for Fashion Product Design in the Big Data Environment
    M. Dong, X. Zeng, L. Koehl, J. Zhang, Information Sciences, Vol. 540, 2020, pp. 469-488
  • Editorial: Special Issue on Intelligent Wearable Systems for Human Health Monitoring
    X. Zeng, Q. Sun, IEEE Trans. on Industrial Informatics, Vol. 16, No. 11, 2020
  • A Deep Reinforcement Learning Based Multi-Criteria Decision Support System for Optimizing Textile Chemical Process
    Z. He, K. P. Tran, S. Thomassey, X. Zeng, J. Xu, C. Yi, Computers in Industry, November 2020
  • 3D Interactive Garment Pattern-Making Technology
    K. Liu, X. Zeng, P. Bruniaux, X. Tao, X. Yao, V. Li, J. Wang, Computer-Aided Design, Vol. 104, November 2018, pp. 113-124
  • CBCRS: An Open Case-based Color Recommendation System
    Y. Hong, X. Zeng, Y. Wang, P. Bruniaux, Y. Chen, Knowledge-Based Systems, Vol. 141, February 2018, pp. 113-128
  • Control and Optimization of Human Perception on Virtual Garment Products by Learning from Experimental Data
    X. Chen, X. Tao, X. Zeng, L. Koehl, J. Boulenguez-Phippen, Knowledge-Based Systems, Vol. 87, October 2015, pp. 92-101
  • Intelligent Fashion Recommender System: Fuzzy Logic in Personalized Garment Design
    L. Wang, X. Zeng, L. Koehl, Y. Chen, IEEE Trans. on Human Machine Systems, Vol. 45, No. 1, February 2015, pp. 95-109
  • Well-being Theme Based Evaluation in New Product Development Using Fuzzy Hierarchical Criteria Group Decision Method
    J. Lu, J. Ma, G. Zhang, Y. Zhu, X. Zeng, L. Koehl, IEEE Trans. on Industrial Electronics, Vol. 58, No. 6, June 2011, pp. 2236-2246

Qi Liu| Machining and control| Best Researcher Award

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Dr . Qi Liu| Machining and control| Best Researcher Award

Dr.Qi Liu ,Wuhan university of technology,China

Dr. Qi Liu is a distinguished professor at the Wuhan University of Technology in China. His research focuses on advanced materials, particularly in the fields of nanotechnology and materials science. Dr. Liu has made significant contributions to the development of innovative materials with applications in various high-tech industries. He has published extensively in top-tier scientific journals and has been recognized with numerous awards for his groundbreaking work. Dr. Liu is also actively involved in collaborative projects and international conferences, furthering the global impact of his research.

 

Professional Profiles:

Orcid

Education :

Doctoral Joint Training
Engineering College, Hokkaido University, Sapporo, Japan
10/2022 – 10/2023,Ph.D. in Engineering
School of Mechanical & Electronic Engineering, Wuhan University of Technology, Wuhan, China,09/2019 – 10/2023,Master of Engineering,School of Mechanical & Electronic Engineering, Wuhan University of Technology, Wuhan, China,09/2017 – 06/2019

Experience:

  • Lecturer
    Wuhan University of Technology

Honord And Awards:

  • Excellent Scholarship for Doctor
    Wuhan University of Technology
    2019, 2020, 2021

Patents:

  • A dual motor synchronous control method and equipment based on time-varying friction compensation. Patent number: ZL202110014478.X.
  • CNC machine tool positioning error prediction and compensation method, system, and storage medium. Patent number: ZL202010398295.8.
  • Positioning error compensation software of NC machine tool based on BECKHOFF motion controller V1.0. Authorized Number: 2021SR0125789.
  • Control system software of precision double drive grinding wheel machine V1.0. Authorized Number: 2018SR571925.

Publications :

    • Liu, Q., Lu, H., Yonezawa, H., Yonezawa, A., Kajiwara, I., Wang, B. (2023). Grey wolf optimization algorithm-based tuned P-PI cascade controller for dual ball screw feed drive systems. Mathematics.
    • Liu, Q., Lu, H., Zhang, X., Qiao, Y., Yu, J., Dou, H., Zhang, Y. (2022). A method to improve position accuracy for dual-drive feed machines by state-dependent friction compensation. PART B-Journal of Engineering Manufacture.
    • Lu, H., Liu, Q., Zhang, X., Qiao, Y., Yu, J., Dou, H., Zhang, Y. (2021). Dynamic characteristics and research on the dual-drive feed mechanism. PART C-Journal of Mechanical Engineering Science.
    • Liu, Q., Lu, H., Zhang, X., Qiao, Y. (2021). Research on positioning error compensation of gantry mobile dual-drive feed system. Huazhong University of Science and Technology (Natural Science Edition).
    • Liu, Q., Lu, H., Zhang, X., Qiao, Y., Cheng, Q., Zhang, Y., Wang, Y. (2020). A non-delay error compensation method for dual-driving gantry-type machine tool. Processes, 8(7), 748.
    • Lu, H., Cheng, Q., Zhang, X., Liu, Q., Qiao, Y., Zhang, Y. (2020). A novel geometric error compensation method for gantry-moving CNC machine regarding dominant errors. Processes, 8(8), 906.
  • Conference Papers
    • Dou, H., Lu, H., Wang, S., Liu, Q. (2021). Research on synchronous control of gantry-type dual-driving feed system based on fuzzy single neuron PID cross-coupled controller. 2021 IEEE 5th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC).