Luis Pérez Domínguez | Methaheuristic and Multicriteria | Best Researcher Award

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Prof. Dr. Luis Pérez Domínguez | Methaheuristic and Multicriteria | Best Researcher Award

UNIVERSIDAD AUTONOMA DE CIUDAD JUAREZ | Mexico

Professor Luis Asunción Pérez-Dominguez, a distinguished academic and researcher in industrial engineering, holds a B.Sc. in Industrial Engineering from Instituto Tecnológico de Villahermosa, Tabasco, México, an M.Sc. in Industrial Engineering from Instituto Tecnológico de Ciudad Juárez, Chihuahua, México, and a Ph.D. in the Science of Engineering from the Autonomous University of Ciudad Juárez, Chihuahua, México. Currently serving as a professor in research at the Universidad Autónoma de Ciudad Juárez, Dr. Pérez-Dominguez has dedicated his career to advancing knowledge and practice in multiple-criteria decision making, fuzzy set applications, and the implementation of continuous improvement tools within the manufacturing sector. His work bridges theoretical innovation and practical applications, focusing on improving efficiency, precision, and decision-making processes in industrial environments. Dr. Pérez-Dominguez is actively engaged with professional communities as a member of the Canadian Operational Research Society (CORS) and the Society for Industrial and Applied Mathematics (SIAM), demonstrating his commitment to global research standards and collaborative scientific advancement. Over his academic tenure, he has contributed numerous high-quality publications, providing insights into optimization, decision-making frameworks, and advanced analytical methodologies. He also emphasizes mentorship, supervising graduate and postgraduate research projects while fostering innovation among students and colleagues. His research consistently seeks to integrate modern computational methods, fuzzy logic principles, and multi-criteria evaluation techniques to address complex industrial problems. With a strong emphasis on continuous improvement, Dr. Pérez-Dominguez’s work empowers organizations to enhance operational efficiency, make informed strategic decisions, and adopt evidence-based methodologies in production and management. By combining rigorous academic research with practical industry insights, he has established himself as a leading authority in industrial engineering, known for translating complex concepts into actionable solutions for manufacturing systems, intelligent decision support, and optimization of industrial processes, positioning him as a highly influential figure in his field.

Featured Publications:

Pérez-Domínguez, L., Rodríguez-Picón, L. A., Alvarado-Iniesta, A., … MOORA under Pythagorean Fuzzy Set for Multiple Criteria Decision Making. Complexity, 134.

Ramírez-Ochoa, D. D., Pérez-Domínguez, L. A., Martínez-Gómez, E. A., … PSO, a swarm intelligence-based evolutionary algorithm as a decision-making strategy: A review. Symmetry, 14(3), 455.

Villagran-Vizcarra, D. C., Luviano-Cruz, D., Pérez-Domínguez, L. A., … Applications analyses, challenges and development of augmented reality in education, industry, marketing, medicine, and entertainment. Applied Sciences, 13(5), 2766.

Pérez-Domínguez, L., Alvarado-Iniesta, A., Rodríguez-Borbón, I., … Intuitionistic fuzzy MOORA for supplier selection. Dyna, 82(191), 34–41.

Garcia Aguirre, P. A., Perez-Dominguez, L., Luviano-Cruz, D., … PFDA-FMEA, an integrated method improving FMEA assessment in product design. Applied Sciences, 11(4), 1406.

Contreras-Masse, R., Ochoa-Zezzatti, A., García, V., Pérez-Dominguez, L., … Implementing a novel use of multicriteria decision analysis to select IIoT platforms for smart manufacturing. Symmetry, 12(3), 368.

Chao Zhang | Control Engineering | Best Researcher Award

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Assoc. Prof. Dr. Chao Zhang | Control Engineering | Best Researcher Award

Associate Professor | Henan Institute of Technology | China

Chao Zhang is an accomplished researcher and academic in the field of control theory, adaptive systems, and intelligent optimization methods, with extensive contributions spanning nonlinear system modeling, robust control, and advanced scheduling algorithms. His research journey demonstrates strong expertise in adaptive control of uncertain nonlinear time-varying systems with noise disturbances and has been widely recognized through influential publications and funded research projects. His scholarly works include Multidimensional Taylor Network Adaptive Control for MIMO Time-varying Uncertain Nonlinear Systems with Noises, Inverse Control of Single-Input/Single-Output Nonlinear Time-varying Systems with Noise Disturbances by Multi-dimensional Taylor Network, Data-driven Nonlinear Near-optimal Regulation based on Multi-dimensional Taylor Network Dynamic Programming, Identification and Adaptive Multi-dimensional Taylor Network Control of Single-input Single-output Non-linear Uncertain Time-varying Systems with Noise Disturbances, and Green Job Shop Scheduling Problem with Discrete Whale Optimization Algorithm. He has further advanced optimization algorithms through works such as Adaptive Discrete Cat Swarm Optimization Algorithm for Flexible Job Shop Problem, Application of Grey Wolf Optimization for Solving Combinatorial Problems: Job Shop and Flexible Job Shop Scheduling Cases, Energy-efficient Scheduling for a Job Shop using an Improved Whale Optimization Algorithm, and Energy-efficient Scheduling for a Job Shop using Grey Wolf Optimization Algorithm with Double-searching Mode. His earlier works also include Inverse Control of Multi-dimensional Taylor Network for Permanent Magnet Synchronous Motor and Nonlinear stochastic time-varying system identification based on multi-dimensional Taylor network with optimal structure. Beyond international publications, he has authored significant Chinese-language contributions such as career combining theoretical innovation and engineering application, Chao Zhang has established himself as a leading scholar in adaptive control, nonlinear system identification, intelligent optimization, and energy-efficient scheduling, contributing both to the advancement of control theory and its real-world industrial applications.

Profile: Orcid

Featured Publications:

huang wei | engineering vibration and noise control | Best Researcher Award

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Prof. Dr. huang wei | engineering vibration and noise control | Best Researcher Award 

Professor level senior engineer, Ph.d., SINOMACH Academy of Science and Technology Co. Ltd, SINOMACH Research Center of Engineering Vibration Control Technology, China

Huang Wei is a renowned expert in vibration control and noise reduction. With a strong academic background and extensive research experience, he has made significant contributions to the field of vibration engineering. His work has been recognized through various awards and honors, and he continues to be an active researcher and presenter at conferences worldwide.

Profile

orcid

Education 🎓

Huang Wei received his education in China, graduating with a degree in a relevant field. Although specific details of his educational background are not provided, his academic achievements and research experience demonstrate a strong foundation in vibration engineering and related disciplines.

Experience 💼

Huang Wei has accumulated extensive experience in vibration control and noise reduction through various research projects and collaborations. He has worked on projects funded by government agencies and industry partners, demonstrating his ability to secure funding and work with diverse stakeholders. His experience also includes presenting research at conferences and publishing papers in academic journals.

Awards and Awards 🏆

Huang Wei has received recognition for his contributions to vibration engineering, although specific details of the awards and honors are not provided. His achievements demonstrate expertise and dedication to his field, earning him a reputation as a leading researcher.

Research Focus

Huang Wei’s research focuses on vibration control, noise reduction, and related topics. He explores innovative methods and technologies to mitigate vibration and noise, with applications in various industries, including construction, manufacturing, and defense. His work aims to improve the performance, safety, and efficiency of systems and structures.

Publications 📚

1. Vibration-sensitive equipment-decoupled vibration control-mass concrete foundation-soil spring 🌆
2. MRD parameter identification and its application in semiactive vibration control of power equipment and explosive vibration 💻
3. MRD parameter identification and its application in semiactive vibration control of power equipment and explosive vibration 💥
4. MRD parameter identification and its application in power equipment vibration control and explosion isolation 🚀
5. Equipment, Building Floor Dynamic Vibration Absorption Design and Optimization 🏢
6. Comfort Technical Standards—Wind-induced, human-induced, power equipment, traffic vibration and secondary radiated noise 🗣️
7. Engineering Vibration, Secondary Radiated Noise Related Comfort Standards and Building Vibration Isolation 📊

Dr. Masih Paknejad | precision machining Award | Best Researcher Award

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Dr. Masih Paknejad | precision machining Award | Best Researcher Award

Dr. Masih Paknejad, KSF (Kompetenzzentrum für Spanende Fertigung), Germany

Dr. Masih Paknejad is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

Orcid

Google scholar

Work Experience 🛠️

Institute of Advanced Machining (KSF), GermanyTeam Leader, Postdoctoral Research Fellow2023 – PresentMachine Tools Committee ISO/ISIRI TC 39, IranSenior Member, Chief and Technical Editor of Machine Tools Standards2022 – PresentTurbine Engineering and Manufacturing Co. (TUGA), IranExpert Engineer (R&D Department)2019 – 2021Persian Ultrasonic Co., IranCEO, Design and Manufacture of High Power Ultrasonic Transducer2019 – PresentHitec-Machinery Trading Co., IranTechnical Advisor, Supervisor of Test and Calibration of Machine Tools2017 – 2019Semnan University, IranLecturer2018 – 2019Courses: Materials Science and Engineering, Metrology Lab., Machine Tools Workshop, Engineering Drawing, Hydraulics and Hydraulics Lab, Welding WorkshopAmirkabir University of Technology, IranStrength of Material Lab Expert, Metrology Lab Expert, Teacher Assistant2012 – 2018Courses: Nontraditional Manufacturing Processes, Machine Element DesignIslamic Azad University (Saveh Branch), IranLecturer2011 – 2012Courses: Metrology, Production Methods, Nontraditional Manufacturing Processes

Education 🎓

Furtwangen University – KSF Institute
Feb 2022 – Sep 2023Postdoc FellowTitle: Ultras-Short Pulse Laser-Assisted Micro-Grinding of Silicon CeramicsAmirkabir University of TechnologySep 2011 – Nov 2017
Ph.D.Dissertation: Theoretical-Experimental Model of Heat Generation in Ultrasonic Assisted Dry Creep Feed Grinding ProcessFurtwangen University – KSF Institute
Jun 2014– Jan 2015Sabbatical ResearcherAmirkabir University of TechnologySep 2008 – Jul 2011M.Sc.Thesis: Theoretical and Experimental Analysis of Ultrasonic Assisted Indentation Forming of TubeIsfahan University of TechnologySep 2004– Sep 2008B.Sc.Thesis: Design of Centrifugal Chip Lubricant Separator DeviceAwards & Honors 🏆Scholarship Award granted by the Ministry of Science Research and Technology of IranAward of the Alborz Regional Innovation and Flourishing Festival, National Elites FoundationPatent for “Design and Manufacture of Ultrasonic Assisted Indentation Forming Device”Award of Elite Entrance, National Organization for Educational Testing (NOET)Ranked 3rd among 39 Undergraduate Students, Mechanical Engineering Department, Isfahan University of TechnologyComputer Skills 💻Mechanical Eng. Software: ABAQUS, ANSYS, CATIA, MasterCAM, MSC Visual

Nastran, Automation StudioProgramming Language: MATLABSoftware Packages: Microsoft Office, Windows

Awards & Honors 🏆

Scholarship Award granted by the Ministry of Science Research and Technology of IranAward of the Alborz Regional Innovation and Flourishing Festival, National Elites FoundationPatent for “Design and Manufacture of Ultrasonic Assisted Indentation Forming Device”Award of Elite Entrance, National Organization for Educational Testing (NOET)Ranked 3rd among 39 Undergraduate Students, Mechanical Engineering Department, Isfahan University of Technology

Computer Skills 💻

Mechanical Eng. Software: ABAQUS, ANSYS, CATIA, MasterCAM, MSC Visual Nastran, Automation StudioProgramming Language: MATLABSoftware Packages: Microsoft Office, Windows

📊 Citation Metrics (Google Scholar):

Citations by: All – 87, Since 2019 – 70
h-index: All – 3, Since 2018 – 3
i10 index: All – 3, Since 2018 –3

 

📖 Publications  Top Note :

Investigation of laser-assisted cylindrical grinding of silicon nitride ceramics with controlled damage zone

Journal: Optics & Laser Technology

Date: July 2024

DOI: 10.1016/j.optlastec.2024.110616

Contributors: Esmaeil Ghadiri Zahrani; Masih Paknejad; Ali Zahedi; Bahman Azarhoushang

Laser-assisted surface grinding of innovative superhard SiC-bonded diamond (DSiC) materials

Journal: Ceramics International

Date: February 2024

DOI: 10.1016/j.ceramint.2024.02.323

Contributors: Masih Paknejad; Bahman Azarhoushang; Ali Zahedi; Mehdi Khakrangin; Robert Bösinger; Faramarz Hojati

Investigation of material removal mechanisms of laser-structured Si3N4 via single diamond grit scratching

Journal: The International Journal of Advanced Manufacturing Technology

Date: March 2023

DOI: 10.1007/s00170-022-10793-0

Contributors: Masih Paknejad; Bahman Azarhoushang; Ali Zahedi; Mehdi Khakrangin; Mohammad Ali Kadivar

Investigation of material removal mechanisms of laser-structured Si3N4 via single diamond grit scratching

Date: September 2, 2022

DOI: 10.21203/rs.3.rs-1974605/v1

Contributors: Masih Paknejad; Bahman Azarhoushang; Ali Zahedi; Mehdi Khakrangin; Mohammad Ali Kadivar

Ductile-brittle transition mechanisms in micro-grinding of silicon nitride

Journal: Ceramics International

Date: August 2022

DOI: 10.1016/j.ceramint.2022.08.088

Contributors: Masih Paknejad

Numerical Simulation of Ultrasonic Assisted Indentation Tube Forming

Journal: ADMT Journal

Date: September 2020

DOI: 10.30495/admt.2020.1869462.1124

Contributors: Masih Paknejad

Effects of high power ultrasonic vibration on temperature distribution of workpiece in dry creep feed up grinding

Journal: Ultrasonics Sonochemistry

Date: November 2017

DOI: 10.1016/j.ultsonch.2017.04.029

Contributors: Masih Paknejad

Theoretical and experimental analyses of ultrasonic-assisted indentation forming of tube

Journal: Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

Date: March 2014

DOI: 10.1177/0954405413501502

Contributors: Masih Paknejad