Pascal Vrignat | Industry 4.0 | Research Excellence Award

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Dr. Pascal Vrignat | Industry 4.0 | Research Excellence Award

Prisme Laboratory at Orleans University | France

Pascal Vrignat is a researcher specializing in operational safety, diagnostics, prognostics, and maintenance strategies for complex systems, with particular expertise in Markovian and stochastic models. His work significantly advances methods for estimating system degradation using survival laws, hidden Markov models, and Remaining Useful Life approaches. He contributes to understanding system obsolescence and managing shortages across the life cycle of industrial systems. His research bridges theory and industrial application, encompassing industrial computing, advanced process control, human–machine interfaces, SCADA systems, IoT, M2M technologies, and digital communication protocols, including OPC-based architectures. He has an extensive record of scientific output, including journal publications, conference papers, book chapters, and a widely used textbook on industrial local networks. His recent works address bearing degradation monitoring and the role of AI in sustainability-focused applications. He is active in research project development, editorial responsibilities, and academic leadership within his institution and research laboratory. His contributions to industry-oriented R&D have earned recognition in international automation competitions. His scholarly impact is reflected in 618 citations (405 since 2020), an h-index of 10 (7 since 2020), and an i10-index of 13 (6 since 2020), underscoring his sustained influence in the fields of reliability engineering, automation, predictive maintenance, and digital industrial systems.

Profiles: Orcid | Google Scholar

Featured Publications

Vrignat, P., Kratz, F., & Avila, M. (2022). Sustainable manufacturing, maintenance policies, prognostics and health management: A literature review. Reliability Engineering & System Safety, 218, 108140. https://doi.org/10.1016/j.ress.2021.108140
Cited by: 152

Pascal, V., Toufik, A., Manuel, A., Florent, D., & Kratz, F. (2019). Improvement indicators for total productive maintenance policy. Control Engineering Practice, 82, 86–96. https://doi.org/10.1016/j.conengprac.2018.09.019
Cited by: 81

Vrignat, P., Avila, M., Duculty, F., & Kratz, F. (2015). Failure event prediction using hidden Markov model approaches. IEEE Transactions on Reliability, 64(3), 1038–1048. https://doi.org/10.1109/TR.2015.2426458
Cited by: 49

Aggab, T., Avila, M., Vrignat, P., & Kratz, F. (2021). Unifying model-based prognosis with learning-based time-series prediction methods: Application to Li-ion battery. IEEE Systems Journal, 15(4), 5245–5254. https://doi.org/10.1109/JSYST.2021.3080125
Cited by: 32

Vrignat, P., Avila, M., Duculty, F., Aupetit, S., Slimane, M., & Kratz, F. (2012). Maintenance policy: Degradation laws versus Hidden Markov Model availability indicator. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 226(2), 137–155. https://doi.org/10.1177/1748006X11406335
Cited by: 21

 

Ping Li | Mechanical Engineering | Best Researcher Award

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Assoc. Prof. Dr. Ping Li | Mechanical Engineering | Best Researcher Award

Guangzhou University, China

Dr. Ping Li is an Associate Professor of Mechanical Engineering at the School of Mechanical and Electrical Engineering, Guangzhou University, China. With a PhD from South China University of Technology, Dr. Li specializes in micro-nano functional surface fabrication, microscale interfacial fluid transport, and thermal optimization for electronic devices. His research integrates advanced microfabrication techniques with fluid dynamics and materials science, contributing significantly to the fields of microstructured surface engineering, thermal management, and photovoltaic performance optimization. He has authored numerous peer-reviewed articles in high-impact international journals and serves as a master’s student advisor.

Publication Profile 

Orcid

Educational Background 🎓

  • 2011–2015:
    PhD in Mechanical Engineering
    South China University of Technology, Guangzhou, China

    • Dissertation: Characterized Micro-structured array of ground surface and its functional properties

    • Supervisor: Prof. Jin Xie

    • Sponsored by NSFC Program

  • 2010–2011:
    M.Sc. in Mechanical Engineering
    South China University of Technology, Guangzhou, China

  • 2006–2010:
    B.Eng. in Process Equipment and Control Engineering
    University of South China, Hengyang, China

Professional Experience 💼

  • 2023–Present
    Associate Professor, Master Tutor
    Guangzhou University, School of Mechanical and Electrical Engineering

  • 2017–2023
    Lecturer, Master Tutor
    Guangzhou University, School of Mechanical and Electrical Engineering

  • 2015–2017
    Engineer
    CNPC Tubular Goods Research Institute, Xi’an, China

    • State Key Laboratory for Performance and Structure Safety of Petroleum Tubular Goods and Equipment Materials

Research Interests 🔬

  1. Micro-nano Functionalization Fabrication and Materials Processing

    • Surface microstructuring, wettability control, surface roughness analysis

  2. Microscale Interfacial Fluid Transport Phenomena

    • Capillary action, thin film flows, liquid bridge dynamics using AFM

  3. Optimization Thermal Design for Electronic Devices

    • Microfluidic heat sinks, thermal diode design, solar cell interface structures

Awards and Honors🏆✨

While not explicitly listed in the CV, the following inferred distinctions apply:

  • NSFC-sponsored PhD Research Project

  • First-authored and corresponding author roles in multiple high-impact journals such as Physics of Fluids, Nanomaterials, Langmuir, and Applied Surface Science

  • Research contributions cited in interdisciplinary fields, including thermal science, optics, and materials science

Conclusion🌟

Dr. Ping Li is a rising expert in the interdisciplinary domain of micro-nano engineering, thermal management, and interfacial physics. Through his academic and industrial experiences, he bridges theoretical modeling with practical engineering applications, particularly in microscale fabrication and energy systems. His continued research output and mentorship roles position him as a significant contributor to both academic research and engineering innovation in China.

Publications 📚

📘 Unidirectional Heat and Fluid Transfer Performances of a Thermal Diode with Fishbone-Microstructure Wicks
🧪 Journal of Materials Chemistry C, 2024
🔗 DOI: 10.1039/D4TC03236E
👥 Ping Li, Jiale Huang, Haifeng Qiu, Liangming Deng, Jiawei Liao, Tuo Jin, Yongfeng Zheng, Jianhua Xiang

🏗️ Topological Design for Isotropic Metamaterials Using Anisotropic Material Microstructures
📘 Engineering Analysis with Boundary Elements, 2024-05
🔗 DOI: 10.1016/j.enganabound.2024.01.025
👥 Jianhua Xiang, Jing Chen, Yongfeng Zheng, Ping Li, Jiale Huang, Zhipeng Chen

📐 Hierarchical Topology Optimization with Varying Micro-structural Aspect Ratios
📘 Engineering Analysis with Boundary Elements, 2023-11
🔗 DOI: 10.1016/j.enganabound.2023.07.044
👥 Yongfeng Zheng, Jianhua Xiang, Zhongyuan Liao, Ping Li, Xiwen Cai, Zhipeng Chen, Jiale Huang

🔥 Design and Thermal Performance of Thermal Diode Based on the Asymmetric Flow Resistance in Vapor Channel
📘 International Journal of Thermal Sciences, 2023-09
🔗 DOI: 10.1016/j.ijthermalsci.2023.108345
👥 Jianhua Xiang, Wenqiang Yang, Hongyan Liao, Ping Li, Zhipeng Chen, Jiale Huang

🍃 The Transitional Wettability on Bamboo-Leaf-like Hierarchical-Structured Si Surface Fabricated by Microgrinding
🧪 Nanomaterials, 2022-08-22
🔗 DOI: 10.3390/nano12162888
👥 Ping Li, Jinxin Wang, Jiale Huang, Jianhua Xiang

🧴 Study on Nitrile Oxide for Low-Temperature Curing of Liquid Polybutadiene
🧪 Materials, 2022-05-09
🔗 DOI: 10.3390/ma15093396
👥 Ping Li, Xiaochuan Wang

🔍 Evaluation on Ground Surface Accuracies of Large-Depth and Steeply Micro-Structured SiC Surfaces
📘 International Journal of Precision Engineering and Manufacturing, 2021-02-04
🔗 DOI: 10.1007/s12541-020-00442-5
👥 Ping Li, Xiaochu Liu, Junwu Chen

🧲 Influence of Lateral Movement on Level Behavior of Adhesion Force Measured Repeatedly by an Atomic Force Microscope (AFM) Colloid Probe in Dry Conditions
🧪 Materials, 2021-01-13
🔗 DOI: 10.3390/ma14020370
👥 Ping Li, Tianmao Lai

🧨 Synthesis and Curing of Allyl Urethane NIMMO-THF Copolyether with Three Functional Groups as a Potential Energetic Binder
📘 Central European Journal of Energetic Materials, 2020-03-26
🔗 DOI: 10.22211/cejem/119233
👥 Ping Li

🧪 Synthesis and Curing of AUT-PNIMMO with Three Functional Groups
📘 Polymer Korea, 2019-07-31
🔗 DOI: 10.7317/pk.2019.43.4.503
👥 Ping Li

💧 Direct Evidence of a Radius of Collection Area for Thin Film Flow in Liquid Bridge Formation by Repeated Contacts Using AFM
📘 Langmuir, 2019-05-07
👥 Ping Li

Muhammad Ahsan Saleem | Additive Manufacturing | Best Researcher Award

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Mr. Muhammad Ahsan Saleem | Additive Manufacturing | Best Researcher Award

Ph.D. Student at Nanjing University of Science and Technology, China

Muhammad Ahsan Saleem is an innovative Mechatronics Engineer currently pursuing a Doctorate in Mechanical Engineering at Nanjing University of Science and Technology. With expertise in data-driven applications for 3D printing and machine learning, he works at the cutting edge of material science, electronics, and mechanical systems. Passionate about interdisciplinary collaboration, he applies his technical expertise to solving complex engineering challenges. His hands-on experience includes projects in servo motor control, smart applications, and multi-material 3D printing. Muhammad’s work contributes to significant advancements in the fields of automation, manufacturing, and functional electronics. 🛠️🔬📐

Publication Profile : 

Scopus

Educational Background 🎓

Muhammad Ahsan Saleem holds a Doctor of Engineering in Mechanical Engineering (ongoing, since 2020) from Nanjing University of Science and Technology, China. He completed his Master of Engineering in Mechanical Engineering in 2018 and his Bachelor of Science in Mechatronics Engineering in 2013, both from the same institution in Nanjing, China, and University of Engineering and Technology (UET) Taxila, Pakistan, respectively.

Professional Experience 💼

Currently, Muhammad is a Researcher at Nanjing University of Science and Technology (2020-present), where he collaborates on building plans, timelines, and proposal writing for product development in the fields of 3D printing, inkjet printing, and data-driven approaches for high-viscosity inks. His role involves experiment design for optimizing inkjet printing processes and the development of multi-material ink applications. Prior to this, he worked as a Mechatronics Engineer at Enginesound Automation Technology in Shanghai (2019), where he designed and implemented a Flexible Bend Control (FBC) device for textile machine calibration and developed an android app for wireless data transfer using Bluetooth. His work also includes performance analysis of electric motors and the design of test benches for comprehensive motor analysis. Earlier, he interned as a Trainee Engineer at Attock Refinery Limited, Pakistan, in 2015, working on HVAC equipment installation and maintenance.

Research Interests 🔬

Muhammad’s research spans 3D printing, machine learning, and materials science, with particular focus on inkjet printing technology, piezoelectric inks, and multi-material composites. He explores data-driven methodologies to improve the precision of 3D-printed electronic circuits and has contributed to studies on the jetting behaviors of high-viscosity inks and functional electronics printing.

Publications 📚

Rehman, A. U., Saleem, M. A., Liu, T., Pitir, F., & Salamci, M. U. (2022). Influence of Silicon Carbide on Direct Powder Bed Selective Laser Process (Sintering/Melting) of Alumina. Materials, 15(2), 637. https://doi.org/XXXXXX

Aslam, M. S., Qaisar, I., & Saleem, M. A. (2020). Quantized Event-triggered feedback control under fuzzy system with time-varying delay and actuator fault. Nonlinear Analysis: Hybrid Systems, 35, 100823. https://doi.org/XXXXXX

 

 

 

Rezgar Hasanzadeh | Manufacturing | Young Scientist Award

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Assist. Prof. Dr. Rezgar Hasanzadeh | Manufacturing | Young Scientist Award

Assitant Professor at Kermanshah University of Technology, Iran

Dr. Rezgar Hasanzadeh is an Assistant Professor at Kermanshah University of Technology, with a background in Mechanical Engineering from Urmia University. His research focuses on polymers, polymeric foams, and plastic waste management. 🎓🌍

Dr. Hasanzadeh earned his B.Sc., M.Sc., and Ph.D. from Urmia University, graduating with top honors and receiving several prestigious awards, including the Distinguished Researcher of West Azerbaijan Province and Shahid Chamran Award from Iran’s National Elites Foundation. 🏅🌟

Publication Profile : 

Scopus

🎓 Educational Background :

  • B.Sc. in Mechanical Engineering
    Urmia University (2009-2013) – GPA: 16.38/20
  • M.Sc. in Mechanical Engineering
    Urmia University (2013-2015) – GPA: 18.86/20
  • Ph.D. in Mechanical Engineering
    Urmia University (2015-2019) – GPA: 19.76/20
    Thesis: Effect of Structural Properties on the Thermal-Insulation Properties of Polymeric Hybrid Nanocomposite Foams

👨‍🏫 Professional Experience :

  • Assistant Professor
    Kermanshah University of Technology (2024–Ongoing)
  • Lecturer
    Urmia University (2017–2024)
  • Teaching Fellow
    Urmia University, Professor Taher Azdast (2015–2024)
  • Lecturer
    Technical and Vocational University, Urmia Branch (2016–2023)

🔬 Research Interests : 

  • Polymers & Polymeric Foams
  • Plastic Waste Treatment & Management ♻️
  • Gasification Process 🌱
  • Thermal-Insulation Polymeric Foams
  • Polymeric Nanocomposites
  • 3D & 4D Printing 🖨️
  • Injection Molding/Extrusion Process
  • Plastic Processing & Technology
  • Multi-Objective Optimization

📝 Publication Top Notes :

  1. Hasanzadeh, R., & Mojaver, P. (Eds.). (2023). Plastic Waste Treatment and Management: Gasification Processes. Springer Nature.
  2. Hasanzadeh, R., Doniavi, A., & Rosen, M.A. (2023). Multi-criteria Decision-Making Analysis of Plastic Waste Gasification. In R. Hasanzadeh & P. Mojaver (Eds.), Plastic Waste Treatment and Management (Engineering Materials). Springer, Cham. https://doi.org/10.1007/978-3-031-31160-4_8
  3. Hasanzadeh, R., & Azdast, T. (2023). Evaluation of Steam Polyurethane Foam Waste Gasification. In R. Hasanzadeh & P. Mojaver (Eds.), Plastic Waste Treatment and Management (Engineering Materials). Springer, Cham. https://doi.org/10.1007/978-3-031-31160-4_7
  4. Hasanzadeh, R., Azdast, T., & Park, C.B. (2023). Evaluation of Air Polyurethane Foam Waste Gasification. In R. Hasanzadeh & P. Mojaver (Eds.), Plastic Waste Treatment and Management (Engineering Materials). Springer, Cham. https://doi.org/10.1007/978-3-031-31160-4_6
  5. Gharibi, A.R., Babazade, R., & Hasanzadeh, R. (2023). Collected Plastic Waste Forecasting by 2050. In R. Hasanzadeh & P. Mojaver (Eds.), Plastic Waste Treatment and Management (Engineering Materials). Springer, Cham. https://doi.org/10.1007/978-3-031-31160-4_2
  6. Azdast, T., Hasanzadeh, R., Lee, R.E., Lee, P.C., Wang, G., & Park, C.B. (2023). High-Pressure Foam Injection Molding of Polylactide/Nano-Fibril Composites with Mold Opening. In Polymeric Foams (pp. 129-139). CRC Press.
  7. Azdast, T., & Hasanzadeh, R. (2018). Polymeric Microcellular Foams: Principles, Basics and Properties. Urmia University Press.
  8. Gharibi, A., Doniavi, E., & Hasanzadeh, R. (2024). Metaheuristic particle swarm optimization for enhancing energetic and exergetic performances of hydrogen energy production from plastic waste gasification. Energy Conversion and Management, 308, 118392. [8 citations]
  9. Aghaiee, S., Azdast, T., Hasanzadeh, R., & Farhangpazhouh, F. (2024). Fabrication of bone tissue engineering scaffolds with a hierarchical structure using combination of 3D printing/gas foaming techniques. Journal of Applied Polymer Science, 141(16), e55238. [1 citation]
  10. Gharibi, A., Babazadeh, R., & Hasanzadeh, R. (2024). Machine learning and multi-criteria decision analysis for polyethylene air-gasification considering energy and environmental aspects. Process Safety and Environmental Protection, 183, 46–58. [8 citations]
  11. Khaleghi, S., Azdast, T., Doniavi, A., & Hasanzadeh, R. (2024). Performance optimization of acrylonitrile butadiene styrene/thermoplastic polyurethane composite foams blown with carbon dioxide using Taguchi technique. Journal of Applied Polymer Science, 141(8), e54996. [1 citation]
  12. Mojaver, M., Azdast, T., & Hasanzadeh, R. (2024). An experimental and numerical study on an innovative metastructure for 3D printed thermoplastic polyurethane with auxetic performance. Polymers for Advanced Technologies, 35(2), e6298. [0 citations]
  13. Doniavi, E., Babazadeh, R., & Hasanzadeh, R. (2024). Polyethylene gasification for sustainable plastic waste management with respect to energy, exergy, and environmental considerations: A non-linear programming optimization. Process Safety and Environmental Protection, 182, 86–97. [7 citations]
  14. Mojaver, P., Hasanzadeh, R., Chitsaz, A., Azdast, T., & Mojaver, M. (2024). Tri-objective central composite design optimization of co-gasification of eucalyptus biomass and polypropylene waste. Biomass Conversion and Biorefinery, 14(4), 4829–4841. [12 citations]
  15. Khaleghi, S., Azdast, T., Hasanzadeh, R., Park, C.B., & Rasouli, A. (2024). Tuning cellular structure in a previously developed microcellular acrylonitrile butadiene styrene/thermoplastic polyurethane blend foams. Polymer Engineering and Science. [0 citations; Article in Press]
  16. Azerang, B., Azdast, T., Doniavi, A., & Hasanzadeh, R. (2024). Acrylonitrile butadiene styrene/multi-walled carbon nanotubes nanocomposite foams for electromagnetic interference shielding with optimized performance. Journal of Thermoplastic Composite Materials. [0 citations; Article in Press]
  17. Hasanzadeh, R., Mihankhah, P., Azdast, T., Bodaghi, M., & Moradi, M. (2024). Process-property relationship in polylactic acid composites reinforced by iron microparticles and 3D printed by fused filament fabrication. Polymer Engineering and Science, 64(1), 399–411. [9 citations]