Vahid Salarvand |Mechanical| Excellence in Research

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

 

Guoqing Wang | Industrial engineering Award | Best Researcher Award

Prof.Guoqing Wang | Industrial engineering Award | Best Researcher Award

Prof.Guoqing Wang,University of Electronic Science and Technology of China, China

Dr. Guoqing Wang is a distinguished professor at the University of Electronic Science and Technology of China (UESTC), located in Chengdu, Sichuan Province, China. He holds expertise in the field of electronic engineering, particularly in the areas of signal processing, communication systems, and wireless networks. With numerous publications and research contributions to his name, Dr. Wang is recognized for his innovative approaches to solving complex problems in telecommunications. He plays a pivotal role in advancing both academic and industrial research endeavors, fostering collaboration and driving technological advancements in China’s electronic engineering landscape.

Professional Profiles:

Scopus

Education:

Ph.D. in Computer Science and Engineering (Sep. 2017 – Jan. 2021,Advisors: Dr. Changming Sun, Prof. Arcot Sowmya,Thesis: “Unbiased Representation Learning Networks for Single Rainy Image ,M.S. in Control Engineering (Sep. 2014 – Jul. 2017)

Research Interests:

  • Machine Learning:
    • Self-/semi-/un- supervised learning and few-shot learning
    • Domain adaptation, meta-learning, and multi-task learning
    • Network interpretation and optimization

    Computer Vision:

    • Holistic image/video understanding, including classification, generation, restoration, salient object detection, semantic segmentation, depth estimation, etc.
    • Adversarial attack mitigation
    • Network compression, neural architecture search, and efficient network routing

Honors and Awards:

  • National Natural Science Fund for Excellent Young Scientists Fund Program (Overseas)
  • Dean’s Award for Outstanding PhD Theses
  • Tecent Open Fund for Excellent Young Scholar
  • ICCV Student Travel Grant
  • UNSW Postgraduate Research Student Support (PRSS) Scholarship
  • UNSW/CSIRO Postgraduate Scholarships
  • Best Master Dissertation of Jiangsu Province (2022)

 

Publications:

    • 1. Enhanced Context Encoding for Single Image Raindrop Removal
      • Authors: Guoqing Wang, Yang Yang*, Xing Xu, Jingjing Li, HengTao Shen
      • Published in: Science in China (Technological Sciences), 2021
      • [pdf]

      2. Attentive Feature Refinement Network for Single Rainy Image Restoration

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: IEEE Transactions on Image Processing, 2020
      • [pdf]

      3. Context-enhanced Representation Learning for Single Image De-Raining

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: International Journal of Computer Vision, 2020
      • [pdf]

      4. Cascaded Attention Guidance Network for Single Rainy Image Restoration

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: IEEE Transactions on Image Processing, 2020
      • [pdf]

      5. Multi-Scale Deep Representation Aggregation for Vein Recognition

      • Authors: Zaiyu Pan, Jun Wang*, Guoqing Wang, Jihong Zhu
      • Published in: IEEE Transactions on Information Forensics and Security, 2020
      • [pdf]

      6. Learning a Compact Vein Discrimination Model With GAN-erated Samples

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: IEEE Transactions on Information Forensics and Security, 2019
      • [pdf]

      7. Multi-Weighted Co-Occurrence Descriptor Encoding for Vein Recognition

      • Authors: Guoqing Wang, Changming Sun*, Arcot Sowmya
      • Published in: IEEE Transactions on Information Forensics and Security, 2019
      • [pdf]

      8. Spatial Pyramid Pooling of Selective Convolutional Features for Vein Recognition

      • Authors: Jun Wang, Zaiyu Pan*, Guoqing Wang, Ming Li, Yulian Li
      • Published in: IEEE Access, 2018
      • [pdf]

      9. Minutiae Based Weighting Aggregation of Deep Convolutional Features for Vein Recognition

      • Authors: Jun Wang, Kai Yang, Zaiyu Pan*, Guoqing Wang, Ming Li, Yulian Li
      • Published in: IEEE Access, 2018
      • [pdf]

      10. Gender Attribute Mining with Hand Dorsa Vein Image Based on Unsupervised Sparse Feature Learning

      • Authors: Jun Wang, Guoqing Wang*, Zaiyu Pan
      • Published in: IEICE Transactions on Information and Systems, 2018