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

 

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