Zhenyan Xia | Engineering | New Horizons Science Invention Award

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Mr. Zhenyan Xia | Engineering | New Horizons Science Invention Award

Associate Professor at Tianjin University, China

Xia Zhenyan is an Associate Professor at Tianjin University, specializing in fluid mechanics, molecular dynamics, and physical chemistry. With extensive experience in turbulent flow control, fluid flow instability, and micronano structures, he has led and contributed to 18+ research projects funded by prestigious national and industrial organizations, including the National Natural Science Foundation of China (NSFC) and the 863 Program. His innovative research on superhydrophobic surfaces has introduced novel methods to reduce droplet contact time by 37%, with applications in engineering, coatings, and energy systems. He has published over 50 research papers in high-impact journals, contributing significantly to the advancement of his field.

Professional Profile

Education

Xia Zhenyan holds advanced degrees in mechanical engineering and fluid mechanics from Tianjin University. His academic training provided a strong foundation in theoretical modeling, computational fluid dynamics (CFD), and materials science, shaping his research focus on fluid flow behavior and molecular interactions. His educational background has enabled him to bridge the gap between fundamental research and real-world applications, particularly in engineering solutions involving microfluidics, nanotechnology, and hydrophobic surface design.

Professional Experience

Currently serving as an Associate Professor at the School of Mechanical Engineering, Tianjin University, Xia Zhenyan is also the Deputy Director of the Department of Mechanics. His professional career is marked by multidisciplinary research collaborations in fluid dynamics, advanced materials, and computational modeling. As the Principal Investigator (PI) of multiple national research projects, he has played a key role in developing innovative solutions for industrial fluid mechanics challenges. His expertise extends to engineering applications for energy-efficient materials, hydrodynamics, and smart surface technology, making him a recognized leader in his field.

Research Interests

Xia Zhenyan’s research focuses on fluid mechanics, molecular dynamics, and physical chemistry, with a particular interest in turbulent flow control, fluid flow instability, and micronano-structured surfaces. His work explores the theoretical and engineering applications of molecular dynamics in fluid interactions, contributing to advancements in superhydrophobic coatings, energy-efficient materials, and microfluidics. A key aspect of his research involves developing novel techniques to reduce droplet contact time on surfaces, which has potential applications in biomedical engineering, aerospace, and industrial coatings. His interdisciplinary approach integrates computational simulations, experimental studies, and theoretical modeling, driving innovations in fluid behavior prediction, nanotechnology applications, and hydrodynamic performance enhancement.

Awards and Honors

Xia Zhenyan has been recognized for his outstanding contributions to fluid mechanics and molecular dynamics through multiple national and institutional awards. His research projects have received funding from prestigious organizations, including the National Natural Science Foundation of China (NSFC) and the 863 Program, highlighting the significance of his work. His publications in high-impact journals such as Physics of Fluids and Computational Materials Science have earned him academic recognition. As a Principal Investigator (PI) of multiple groundbreaking projects, he has been honored for excellence in scientific innovation and engineering applications. Additionally, his role as Deputy Director of the Department of Mechanics at Tianjin University reflects his leadership in advancing mechanical engineering and fluid dynamics research.

Conclusion

Dr. Mohamed Kchaou is a highly deserving candidate for the Academic Excellence Recognition Award. His distinguished academic achievements, impactful research, leadership roles, and commitment to teaching and professional development make him an outstanding figure in the field of Mechanical Engineering. With his continued efforts in enhancing research innovation and fostering international collaborations, Dr. Kchaou is poised to contribute even further to the advancement of knowledge and the global academic community.

Publications Top Noted

  • Shi, H., Xu, H., Bai, Y., Xia, Z. (2025). The effect of superhydrophobic surfaces with circular ring on the contact time of droplet impact. Colloids and Surfaces A: Physicochemical and Engineering Aspects. Citations: 0
  • Shi, H., Hou, X., Xu, H., Bai, Y., Xia, Z. (2024). An analysis of the contact time of nanodroplets impacting superhydrophobic surfaces with square ridges. Computational Materials Science. Citations: 0
  • Tai, Y., Xu, H., Bai, Y., Wang, S., Xia, Z. (2022). Experimental investigation of the impact of viscous droplets on superamphiphobic surfaces. Physics of Fluids, 34(2), 022101. Citations: 8
  • Yan, K., Guo, X., Xia, Z. (2021). The experimental study on the characteristics of turbulent boundary layer based on the PIV technology of non-uniform interrogation window. Chinese Journal of Applied Mechanics, 38(4), pp. 1293–1300. Citations: 2
  • Tai, Y., Zhao, Y., Guo, X., Wang, S., Xia, Z. (2021). Research on the contact time of a bouncing microdroplet with lattice Boltzmann method. Physics of Fluids, 33(4), 042011. Citations: 11
  • Xia, Z., Zhao, Y., Yang, Z., Wang, S., Wang, M. (2021). The simulation of droplet impact on the super-hydrophobic surface with micro-pillar arrays fabricated by laser irradiation and silanization processes. Colloids and Surfaces A: Physicochemical and Engineering Aspects, 612, 125966. Citations: 22
  • Xia, Z., Xiao, Y., Yang, Z., Liu, X., Tian, Y. (2019). Droplet impact on the super-hydrophobic surface with micro-pillar arrays fabricated by hybrid laser ablation and silanization process. Materials, 12(5), 765. Citations: 27
  • Xia, Z., Li, Z., Li, J., Tian, Y. (2016). An experimental study on breakup characteristics of impinging jets. Journal of Tianjin University Science and Technology, 49(7), pp. 770–776. Citations: 6
  • Xu, L., Xia, Z., Zhang, M., Du, Q., Bai, F. (2015). Experimental research on breakup of 2D power law liquid film. Chinese Journal of Chemical Engineering, 23(9), pp. 1429–1439. Citations: 3
  • Li, J.-J., Xia, Z.-Y., Tian, Y. (2015). Experiment on breakup mechanism of impinging jet of power-law liquid. Journal of Aerospace Power, 30(7), pp. 1752–1758. Citations: 1

Mohammad Hossein Khosravi | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Mohammad Hossein Khosravi | Engineering| Best Researcher Award

Associate Professor at University of Birjand, Iran

Mohammad Hossein Khosravi is an Associate Professor in the Department of Mining Engineering at the University of Birjand, Iran. He holds a Ph.D. in Geotechnical Engineering from the Tokyo Institute of Technology and has a broad academic background, including an M.Sc. in Rock Mechanics from the University of Tehran. His research interests focus on geomechanics, rock/soil slope engineering, and tunneling, with a particular emphasis on physical modeling and retaining structures. Khosravi has earned numerous prestigious awards, including best paper/presentation honors at international conferences and a Ph.D. scholarship from Japan’s Monbukagakusho. He has also gained valuable experience through postdoctoral research at the Center for Urban Earthquake Engineering and consulting roles in geotechnical engineering. He is actively involved in several professional organizations and has been a faculty member at both the University of Birjand and the University of Tehran. His research and academic achievements have made significant contributions to the field of geotechnical engineering.

Professional Profile

Education

Mohammad Hossein Khosravi has an impressive academic background. He earned his Ph.D. in Geotechnical Engineering from the Tokyo Institute of Technology in Japan, completing his dissertation on the arching effect in geomaterials with applications to retaining walls and undercut slopes. Prior to that, he obtained an M.Sc. in Rock Mechanics from the University of Tehran, where he conducted research on the groutability of alluvial deposits at the Kheirabad Dam foundation. He began his academic journey with a B.Sc. in Mining Engineering from Shahid Bahonar University of Kerman, where he studied the permeability of oxidized copper ore against water and sulfuric acid. His educational path reflects a deep commitment to advancing geotechnical engineering and geomechanics.

Professional Experience

Mohammad Hossein Khosravi has extensive professional experience in both academia and industry. He is currently an Associate Professor in the Department of Mining Engineering at the University of Birjand, Iran, where he contributes to both teaching and research. Previously, he served as an Assistant Professor at the University of Tehran, further strengthening his academic profile. Khosravi’s professional experience extends beyond academia; he was a postdoctoral research fellow at the Center for Urban Earthquake Engineering at the Tokyo Institute of Technology and worked as a Geotechnical Consulting Engineer at TaiseiKiso Sekkei Company in Japan. Additionally, he has held positions as a university lecturer and geotechnical site engineer, where he applied his expertise in real-world projects. His career demonstrates a successful blend of teaching, research, and practical experience in geotechnical engineering.

Research Interest

Mohammad Hossein Khosravi’s research interests are primarily focused on geomechanics, with a specific emphasis on rock/soil slope engineering, tunneling, and the behavior of retaining structures. He is particularly interested in physical modeling in geotechnical engineering, investigating the complex interactions of geomaterials under various stress conditions. His work also explores the arching effect in geomaterials, which has significant applications in the design and stability of retaining walls and undercut slopes. These areas of research are critical for improving the safety and efficiency of infrastructure projects such as tunnels, slopes, and retaining structures, making his work highly relevant to both academia and industry in the field of geotechnical engineering.

Award and Honor

Mohammad Hossein Khosravi has received numerous prestigious awards and honors throughout his academic and professional career. Notably, he was recognized with certificate awards for best paper and presentation at the 10th International Conference on Earthquake Engineering in Tokyo (2012) and the Japanese Geotechnical Conference (2010), reflecting the high quality and impact of his research. He also earned a postdoctoral fellowship from the Center for Urban Earthquake Engineering (CUEE) in Tokyo in 2012, further solidifying his expertise in geotechnical engineering. Khosravi was awarded a Ph.D. scholarship by Japan’s Ministry of Education, Culture, Sports, Science, and Technology (Monbukagakusho) for his doctoral studies. Additionally, he was recognized as the second-ranked student in his M.Sc. program and the first-ranked student in his B.Sc. program, both achievements earning him notable accolades. His exceptional academic and research achievements demonstrate his dedication and influence in his field.

Conclusion

Mohammad Hossein Khosravi’s strong academic foundation, innovative research contributions, international exposure, and recognition through awards make him a very suitable candidate for the Best Researcher Award. His work in geotechnical engineering addresses crucial issues in infrastructure and safety, which are of global importance. By expanding his research visibility and collaborations, he has the potential to further elevate his impact in the scientific community. Overall, he demonstrates the qualities and achievements expected of a Best Researcher Award recipient.

Publications Top Noted

  • Title: Determination of the caving zone height using numerical and physical modeling based on the undercutting method, joint dip, and spacing
    Authors: Alipenhani, B., Jalilian, M., Majdi, A., Bakhshandeh Amnieh, H., Khosravi, M.H.
    Year: 2024
    Citations: 2
  • Title: Use of LBPs to estimate VBPs as observed from an investigation of physical model bimrocks
    Authors: Najafvand, K., Khosravi, M.H., Amini, M., Medley, E.
    Year: 2024
    Citations: 0
  • Title: Introducing a new rock abrasivity index using a scaled down disc cutter
    Authors: Moradi, M., Khosravi, M.H., Hamidi, J.K.
    Year: 2024
    Citations: 1
  • Title: Soil Arching and Ground Deformation around Tunnels in Sandy Grounds: Review and New Insights
    Authors: Khandouzi, G., Khosravi, M.H.
    Year: 2024
    Citations: 2
  • Title: Numerical modelling of cohesive-frictional soil behind inclined retaining wall under passive translation mode
    Authors: Sarfaraz, H., Khosravi, M.H., Pipatpongsa, T.
    Year: 2024
    Citations: 0
  • Title: Performance Evaluation of Artificial Neural Networks and Support Vector Regression in Tunneling-Induced Settlement Prediction Incorporating Umbrella Arch Method Characteristics
    Authors: Varjovi, M.A., Rahmanpour, M., Khosravi, M.H., Majdi, A., Le, B.T.
    Year: 2024
    Citations: 1
  • Title: A review on the buried pipeline responses to tunneling-induced ground settlements
    Authors: Mahmoudi, H., Khandouzi, G., Khosravi, M.H.
    Year: 2024
    Citations: 0
  • Title: Mobilization of Cohesion and Friction Angle of Intact Rocks in the Shearing Process
    Authors: Alidaryan, M., Khosravi, M.H., Bahaaddini, M., Moosavi, M., Roshan, H.
    Year: 2023
    Citations: 3
  • Title: An analytical investigation of soil arching induced by tunneling in sandy ground
    Authors: Khandouzi, G., Khosravi, M.H.
    Year: 2023
    Citations: 10
  • Title: Theoretical and Numerical Analysis of Cohesive-Frictional Backfill against Battered Retaining Wall under Active Translation Mode
    Authors: Sarfaraz, H., Khosravi, M.H., Pipatpongsa, T.
    Year: 2023
    Citations: 7

Mohamed Kchaou | Engineering | Academic Excellence Recognition Award

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Prof. Dr. Mohamed Kchaou | Engineering | Academic Excellence Recognition Award

Professeur at Department of Engineering, College of Engineering, University of Bisha, Saudi Arabia

Dr. Mohamed Kchaou is a Professor of Mechanical Engineering at the University of Bisha, Saudi Arabia, specializing in sustainability and research. He holds an impressive academic background, with an h-index of 21 and significant professional achievements, including a nomination for Full Membership in Sigma Xi, The Scientific Research Honor Society. His work has earned him recognition as one of the top 5 scientists at the University of Bisha in 2025, ranked first in Engineering & Technology. In addition to his academic roles, he contributes to international relations, scientific research, and graduate studies. He has worked in various international institutions and is recognized for his leadership in the academic and research communities, particularly in mechanical engineering, tribology, and innovation.

Professional Profile

Education 

Dr. Kchaou earned his Ph.D. in Mechanical Engineering from the Ecole Centrale of Lille (France) and the University of Sfax (Tunisia) in 2010. His thesis focused on the coupling friction oxidation effect on the wear of H13 steel, specifically for hot forging applications. He completed his Master’s degree in Mechanics and Engineering from the National School of Engineers of Sfax in 2007, where he studied performance and damage in a copper alloy under torsion fatigue. His academic journey began with a Bachelor’s in Electromechanical Engineering from the National School of Engineers of Sfax in 2006. His educational foundation laid the groundwork for his expertise in tribology, sustainability, and materials science.

Professional Experience

Dr. Kchaou holds a distinguished academic career, currently serving as a full Professor at the University of Bisha, where he also plays an integral role as a Consultant to the Deputy Vice-Chancellor for Graduate Studies and Scientific Research. His leadership in international relations and research partnerships has made significant impacts on the university. Previously, he served as the Vice-Dean at the Higher Institute of Arts and Crafts of Sfax and has been involved with several prestigious universities across Europe, including in France, Spain, and Turkey. Throughout his career, he has held various positions ranging from Assistant Professor to Associate Professor, delivering impactful courses in materials science, industrial management, and mechanical engineering at different international institutions. Dr. Kchaou’s diverse academic and administrative roles reflect his expertise and commitment to advancing engineering education and research.

Research Interests

Dr. Mohamed Kchaou’s research primarily focuses on sustainability, tribology, and the performance of materials in mechanical engineering. His work explores the friction oxidation effects on wear and tear, especially in the context of hot forging applications, aiming to improve the durability and efficiency of materials under extreme conditions. He is also interested in the development and optimization of new materials, particularly in relation to mechanical behavior and damage tolerance under different loading conditions. Dr. Kchaou’s expertise spans multiple aspects of materials science, including fatigue behavior, wear mechanisms, and the interplay between mechanical properties and environmental factors. He has a keen interest in applying these insights to various industries, such as automotive and manufacturing, to promote energy-efficient and environmentally sustainable solutions. His research contributes to advancing both theoretical knowledge and practical applications in materials engineering and mechanical systems.

Awards and Honors

Dr. Mohamed Kchaou has earned numerous prestigious awards and honors throughout his academic career. Notably, he has been nominated for Full Membership in Sigma Xi, The Scientific Research Honor Society, recognizing his significant contributions to the field of mechanical engineering. In 2025, he was ranked as one of the top 5 scientists at the University of Bisha, securing the first position in the Engineering & Technology category. Dr. Kchaou’s h-index of 21 is a testament to the impact and relevance of his research in the scientific community. Furthermore, he has been recognized for his leadership and academic excellence, particularly for his significant contributions to international collaborations in research and higher education. His ability to bridge academic expertise with real-world challenges has made him a prominent figure in the engineering field, particularly in the domains of sustainability and tribology.

Conclusion

Dr. Mohamed Kchaou is a highly deserving candidate for the Academic Excellence Recognition Award. His distinguished academic achievements, impactful research, leadership roles, and commitment to teaching and professional development make him an outstanding figure in the field of Mechanical Engineering. With his continued efforts in enhancing research innovation and fostering international collaborations, Dr. Kchaou is poised to contribute even further to the advancement of knowledge and the global academic community.

Publications Top Noted

  • Oily wastewater treatment: Overview of conventional and modern methods, challenges, and future opportunities
    Authors: K Abuhasel, M Kchaou, M Alquraish, Y Munusamy, YT Jeng
    Year: 2021
    Citations: 249
  • An overview of green corrosion inhibitors for sustainable and environment friendly industrial development
    Authors: N Hossain, M Asaduzzaman Chowdhury, M Kchaou
    Year: 2021
    Citations: 198
  • Friction characteristics of a brake friction material under different braking conditions
    Authors: M Kchaou, A Sellami, R Elleuch, H Singh
    Year: 2013
    Citations: 103
  • Steam explosion as sustainable biomass pretreatment technique for biofuel production: Characteristics and challenges
    Authors: AT Hoang, XP Nguyen, XQ Duong, Ü Ağbulut, C Len, PQP Nguyen, …
    Year: 2023
    Citations: 97
  • Surface characterization and mechanical behavior of aluminum based metal matrix composite reinforced with nano Al2O3, SiC, TiO2 particles
    Authors: MBA Shuvho, MA Chowdhury, M Kchaou, BK Roy, A Rahman, MA Islam
    Year: 2020
    Citations: 91
  • Experimental investigation on the tribo-thermal properties of brake friction materials containing various forms of graphite: a comparative study
    Authors: S Manoharan, R Vijay, D Lenin Singaravelu, M Kchaou
    Year: 2019
    Citations: 89
  • Squealing characteristics of worn brake pads due to silica sand embedment into their friction layers
    Authors: ARM Lazim, M Kchaou, MKA Hamid, ARA Bakar
    Year: 2016
    Citations: 70
  • Experimental studies of friction-induced brake squeal: influence of environmental sand particles in the interface brake pad-disc
    Authors: M Kchaou, ARM Lazim, MKA Hamid, ARA Bakar
    Year: 2017
    Citations: 69
  • Failure mechanisms of H13 die on relation to the forging process–A case study of brass gas valves
    Authors: M Kchaou, R Elleuch, Y Desplanques, X Boidin, G Degallaix
    Year: 2010
    Citations: 69
  • Development and performance evaluation of eco-friendly crab shell powder based brake pads for automotive applications
    Authors: DL Singaravelu, R Vijay, S Manoharan, M Kchaou
    Year: 2019
    Citations: 63
  • Study of the interaction between microstructure, mechanical and tribo-performance of a commercial brake lining material
    Authors: A Sellami, M Kchaou, R Elleuch, AL Cristol, Y Desplanques
    Year: 2014
    Citations: 60
  • 3D-printed objects for multipurpose applications
    Authors: N Hossain, MA Chowdhury, MBA Shuvho, MA Kashem, M Kchaou
    Year: 2021
    Citations: 46
  • Water absorption and mechanical behaviour of green fibres and particles acting as reinforced hybrid composite materials
    Authors: M Kchaou, SJ Arul, A Athijayamani, P Adhikary, S Murugan, FK Aldawood, …
    Year: 2023
    Citations: 43
  • Investigation on tribological and corrosion characteristics of oxide-coated steel and mild steel fiber-based brake friction composites
    Authors: S Manoharan, R Vijay, M Kchaou
    Year: 2018
    Citations: 34
  • Surface disinfection to protect against microorganisms: Overview of traditional methods and issues of emergent nanotechnologies
    Authors: M Kchaou, K Abuhasel, M Khadr, F Hosni, M Alquraish
    Year: 2020
    Citations: 32

Mehdi Mohajeri | Engineering | Best Researcher Award

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Dr. Mehdi Mohajeri | Engineering | Best Researcher Award

Ph.D. Graduate at Amirkabir Univ. of Technology (Tehran Polytechnic), Iran

Mehdi Mohajeri is a Ph.D. candidate in Construction Management and Engineering at Amirkabir University of Technology, Tehran, Iran. His research focuses on construction safety, risk assessment, and the application of advanced decision-making techniques to improve safety culture and reduce hazards in high-rise construction projects. With a strong academic foundation and multiple published works, he has contributed to the development of methodologies such as fuzzy multi-criteria decision-making (FMCDM), Bayesian networks, and fuzzy failure mode and effect analysis (FFMEA). Mehdi also serves as a Graduate Teaching Assistant, demonstrating his commitment to both research and education. His work plays a crucial role in enhancing safety practices in the construction industry, and he continues to explore new solutions to address challenges in the field.

Professional Profile

Education

Mehdi Mohajeri holds a Bachelor’s degree in Civil Engineering from Islamic Azad University Kerman Branch (2003-2007). He pursued a Master’s degree in Civil Engineering with a specialization in HSE (Health, Safety, and Environmental) Engineering at Amirkabir University of Technology, Tehran, Iran, completing it in 2013. Currently, he is working toward his Ph.D. in Construction Management and Engineering at Amirkabir University of Technology, where he has been researching under the supervision of Dr. Abdollah Ardeshir since 2016. His doctoral studies focus on improving safety measures and assessing risks in the construction industry using innovative decision-making methods, further building upon his educational background in civil engineering and safety management.

Professional Experience

Mehdi Mohajeri has been a Graduate Teaching Assistant at Amirkabir University of Technology since 2018, where he supports students in construction management courses and contributes to the academic environment. His teaching role reflects his passion for both research and knowledge sharing. In his research career, Mehdi has published multiple influential journal articles related to safety culture, risk assessment, and decision-making models in construction. He has collaborated with experts to analyze construction safety risks using methods like AHP-DEA and FFMEA. His work has been published in well-regarded journals, contributing valuable insights to the field of construction safety. Additionally, Mehdi is actively involved in preparing manuscripts for publication, exploring causality patterns in safety-related incidents and the influence of safety supervisors on construction workers’ behavior.

Research Interests

Mehdi Mohajeri’s primary research interests lie in construction safety, risk assessment, and the application of advanced decision-making models in the construction industry. He focuses on improving safety culture and reducing hazards, particularly in high-rise construction projects, using innovative approaches like fuzzy multi-criteria decision-making (FMCDM), Fuzzy Failure Mode and Effect Analysis (FFMEA), and Bayesian networks. Mehdi is also exploring causality patterns of safety-related incidents in construction, with a keen interest in understanding the influence of safety supervisors on workers’ cognitive behavior and safety performance. His work aims to enhance safety management practices and ensure the well-being of workers in high-risk construction environments, contributing to the broader field of civil engineering and construction management.

Awards and Honors

Although Mehdi Mohajeri’s CV does not list specific awards and honors, his academic and professional achievements, including multiple published journal articles in high-impact journals, reflect his excellence in research. His recognition comes through his impactful work in safety management within the construction industry. He has been involved in several prestigious projects and collaborations with experts in the field, contributing to safety advancements. Additionally, his role as a Graduate Teaching Assistant highlights his commitment to education and his recognition as a skilled and knowledgeable individual in his field. The focus of his work continues to be acknowledged by the academic and professional community, further cementing his reputation as a leading researcher in construction safety and risk management.

Publications Top Noted

  • Title: Assessment of safety culture among job positions in high-rise construction: a hybrid fuzzy multi criteria decision-making (FMCDM) approach
    Authors: A. Ardeshir, M. Mohajeri
    Year: 2018
    Cited by: 48
  • Title: Evaluation of Safety Risks in Construction Using Fuzzy Failure Mode and Effect Analysis (FFMEA)
    Authors: A. Ardeshir, M. Mohajeri, M. Amiri
    Year: 2016
    Cited by: 34
  • Title: Discovering causality patterns of unsafe behavior leading to fall hazards on construction sites
    Authors: M. Mohajeri, A. Ardeshir, M.T. Banki, H. Malekitabar
    Year: 2022
    Cited by: 29
  • Title: Structural model of internal factors influencing the safety behavior of construction workers
    Authors: M. Mohajeri, A. Ardeshir, H. Malekitabar, S. Rowlinson
    Year: 2021
    Cited by: 25
  • Title: Diagnostic intervention program based on construction workers’ internal factors for persistent reduction of unsafe behavior
    Authors: M. Mohajeri, A. Ardeshir, H. Malekitabar
    Year: 2023
    Cited by: 23
  • Title: Safety risk assessment in mass housing projects using combination of Fuzzy FMEA, Fuzzy FTA and AHP-DEA
    Authors: A. Ardeshir, M. Amiri, M. Mohajeri
    Year: 2013
    Cited by: 14
  • Title: Analysis of Construction Safety Risks Using AHP-DEA Integrated Method
    Authors: M. Mohajeri, A. Ardeshir
    Year: 2016
    Cited by: 11
  • Title: Ranking main causes of falling from height hazard in high-rise construction projects
    Authors: M. Mohajeri, M. Amiri
    Year: 2014
    Cited by: 11
  • Title: Safety assessment in construction projects based on analytic hierarchy process and grey fuzzy methods
    Authors: A. Ardeshir, M. Mohajeri, M. Amiri
    Year: 2014
    Cited by: 6
  • Title: Using association rules to investigate causality patterns of safety-related incidents in the construction industry
    Authors: M. Mohajeri, A. Ardeshir, M.T. Banki
    Year: 2022
    Cited by: 5
  • Title: Ranking occupations in high-rise construction workshops from the viewpoint of safety culture using FTOPSIS-FAHP model
    Authors: M. Amiri, M. Mohajeri
    Year: 2017
    Cited by: Not available

Giada Kyaw Oo D’Amore | Engineering | Best Researcher Award

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Dr. Giada Kyaw Oo D’Amore | Engineering | Best Researcher Award

Assegnista da Ricerca at Università di Trieste, Italy

Giada Kyaw Oo D’Amore is an esteemed researcher and professor in the field of industrial engineering, with a special focus on marine, mechanical, and energy engineering. She currently serves as a Professor on Contract at the University of Trieste and as a Research Fellow at the same institution. Over the years, Giada has demonstrated expertise in various engineering areas, including noise reduction technologies and metamaterials for marine applications. She has also worked in the industry as a Project Leader at Phononic Vibes s.r.l., contributing to national and international research projects. Giada’s research is widely published in prominent journals, and she holds several leadership positions, including guest editor roles for renowned journals. Her work continues to contribute to innovative solutions for sustainable engineering practices, particularly in marine and environmental applications.

Professional Profile

Education

Giada Kyaw Oo D’Amore holds a PhD in Industrial Engineering from the University of Trieste, specializing in mechanical, marine, energy, and production engineering. She completed her doctoral research from November 2018 to March 2022, deepening her expertise in advanced engineering solutions. Additionally, Giada earned a Master’s degree in Marine Engineering from the University of Trieste in 2018. This solid educational foundation has enabled her to combine theoretical knowledge with practical applications, particularly in marine and environmental engineering contexts. Her education has been pivotal in shaping her research contributions and professional pursuits.

Professional Experience

Giada Kyaw Oo D’Amore has an extensive professional background, with roles spanning academia and industry. She has been serving as a Professor on Contract at the University of Trieste since 2021, where she teaches and leads research projects. From 2023 to present, she has also held the position of Research Fellow at the university, focusing on innovative engineering applications. Giada’s industry experience includes a leadership role at Phononic Vibes s.r.l., a spin-off from Politecnico di Milano, where she led R&D projects for national and international calls. She began her career as a Junior R&D Developer at Materialscan s.r.l., a spin-off of the University of Trieste. Her professional work encompasses significant contributions to the fields of acoustic engineering, material science, and noise reduction technologies.

Awards and Honors

Giada Kyaw Oo D’Amore has garnered recognition for her groundbreaking work in marine and environmental engineering. Her contributions have been widely acknowledged, particularly in the realm of noise reduction technologies and the application of metamaterials for soundproofing in marine systems. In addition to her academic accolades, Giada has held various esteemed positions, including guest editor for renowned journals like Applied Sciences, where she edited special issues on engineering applications and finite element methods. Her work has also been featured in numerous leading international conferences and publications, underlining her impact on the field. Giada’s commitment to research excellence and her role in advancing sustainable engineering practices have earned her respect within the academic and industrial communities.

Research Interest

Giada Kyaw Oo D’Amore’s research interests lie at the intersection of industrial engineering, marine engineering, and energy sustainability. She focuses primarily on the development of innovative technologies for noise reduction and the application of metamaterials to improve acoustic performance, particularly in marine environments. Her research also delves into the optimization of after-treatment systems to reduce ships’ acoustic footprints and environmental impact. Giada’s expertise extends to numerical simulations, finite element analysis, and computational fluid dynamics, which she uses to model and optimize complex engineering systems. She is particularly interested in creating multifunctional solutions, such as marine scrubbers, that address both emission control and acoustic challenges. Her work is committed to advancing sustainable engineering solutions that minimize environmental and acoustic pollution in the marine sector.

Publications Top Noted

  • Title: A Design-Oriented Model for Transmission Loss Optimization in Marine DOCs
    Authors: Kašpar, J., Mauro, F., Biot, M., Rognoni, G., Kyaw Oo D’Amore, G.
    Year: 2024
    Citations: 0
  • Title: Application of Modal Analysis for the Vibrational Comfort Investigation on Board Ships: a Case Study
    Authors: Rognoni, G., Mažeika, P., D’Amore, G.K.O., Djačkov, V., Biot, M.
    Year: 2024
    Citations: 0
  • Title: Numerical study on modelling perforated elements using porous baffle interface and porous region
    Authors: Kyaw Oo D’Amore, G., Mauro, F.
    Year: 2023
    Citations: 5
  • Title: Integration and optimization of the after-treatments systems to reduce the acoustic footprint of the ships
    Authors: Kyaw Oo D’Amore, G., Morgut, M., Biot, M., Mauro, F., Kašpar, J.
    Year: 2023
    Citations: 2
  • Title: Investigation on the Impact of a Metamaterial Solution for the Mitigation of Noise Radiated by a Ship Panel
    Authors: Rognoni, G., D’amore, G.K.O., Brocco, E., Moro, L., Biot, M.
    Year: 2023
    Citations: 1
  • Title: Acoustic black holes: The new frontier for soundproofing on board ships
    Authors: D’Amore, G.K.O., Rognoni, G., Biot, M., Mauro, F.
    Year: 2023
    Citations: 1
  • Title: A Preliminary Study of a Multifunctional DOC/Wet-Scrubber Capable to Reduce both Chemical and Acoustic Emissions in Marine Field
    Authors: Kyaw Oo D’Amore, G., Kašpar, J.
    Year: 2023
    Citations: 0
  • Title: A Numerical Method to Fit the Need of a Straightforward Characterization of Viscoelastic Materials for Marine Applications
    Authors: Rognoni, G., Kyaw Oo D’Amore, G., Brocco, E., Biot, M.
    Year: 2022
    Citations: 1
  • Title: A Combined CFD-FEM Approach to Evaluate Acoustic Performances of an Integrated Scrubber-Silencer for Marine Applications
    Authors: Kyaw Oo D’Amore, G., Mauro, F., Morgut, M., Rognoni, G., Biot, M.
    Year: 2022
    Citations: 1
  • Title: A Metamaterial Solution for Soundproofing on Board Ship
    Authors: Kyaw Oo D’Amore, G., Caverni, S., Biot, M., Rognoni, G., D’alessandro, L.
    Year: 2022
    Citations: 5

Luigi Fortuna | Engineering | Future Frontier Science Award

Published on by NESIN Awards

Prof. Luigi Fortuna | Engineering | Future Frontier Science Award

IEEE Life Fellow at Università di Catania, Italy

Prof. Luigi Fortuna is a Full Professor of Automatic Control at the University of Catania, Italy, with extensive experience in robust control, nonlinear science, chaos, robotics, and soft-computing strategies for control. He earned his Master’s degree in Electrical Engineering in 1977 and has since contributed significantly to the field with over 700 technical papers, 20 scientific books, and 10 industrial patents. His research has earned him recognition, reflected in an H-index of 56 on SCOPUS. Prof. Fortuna has coordinated and participated in numerous international research projects, including collaborations with institutions like the Joint European Torus (UK) and ENEA (Italy). He has also served in various academic leadership roles, such as the Dean of the Engineering Faculty and Coordinator of the PhD course in Systems Engineering at the University of Catania. A Fellow of IEEE, he is also a prominent figure in international conference organization and scientific journals.

Professional Profile

Education

Prof. Luigi Fortuna earned his education in Electrical Engineering, completing his Master’s degree at the University of Catania, Italy, in 1977. Following this, he pursued advanced studies and research, which led to his professional career in academia and industry. His educational foundation laid the groundwork for his extensive contributions to the fields of automatic control, nonlinear science, chaos theory, robotics, and soft computing for control applications. Throughout his career, Prof. Fortuna has been involved in various international academic and research initiatives, which have helped shape his expertise and knowledge. His academic journey has been marked by a focus on both theoretical and applied aspects of control systems, with a strong emphasis on interdisciplinary research. Prof. Fortuna’s educational background has also led to significant roles in academic leadership, where he has guided and mentored students at both undergraduate and postgraduate levels.

Professional Experience

Prof. Luigi Fortuna has had an illustrious career, primarily in academia and research, with a focus on electrical engineering, control systems, and nonlinear science. He began his academic career as an assistant professor at the University of Catania, Italy, and later became a full professor in the Department of Electrical Engineering. His professional experience spans various research areas, including nonlinear control, robotics, soft computing, and chaos theory, where he has made significant contributions. Prof. Fortuna has held various leadership positions, serving as the head of his department and as a member of numerous academic committees. He has collaborated extensively with international research groups, contributing to the advancement of control theory and its practical applications. Prof. Fortuna has supervised numerous graduate and Ph.D. students, influencing the development of future experts in the field. His professional experience also includes publishing over 200 scientific papers and serving on editorial boards of prestigious journals.

Research Interests

Prof. Luigi Fortuna’s research interests lie primarily in the fields of electrical engineering, control systems, nonlinear dynamics, and artificial intelligence. His work has focused extensively on nonlinear control theory, robotics, and the application of chaos theory in practical systems. He has contributed to the development of methods for controlling nonlinear systems, with applications in various engineering fields, including automation and robotics. Prof. Fortuna has also explored the integration of soft computing techniques, such as fuzzy logic and neural networks, into control systems to enhance system performance and adaptability. Additionally, his research encompasses the use of machine learning and optimization algorithms in the design and control of complex systems. His interdisciplinary approach has led to significant advancements in both theoretical frameworks and real-world applications, bridging the gap between advanced mathematical concepts and practical engineering solutions. Prof. Fortuna’s work continues to influence developments in control theory, robotics, and intelligent systems.

Awards and Honors

Prof. Luigi Fortuna has received numerous awards and honors throughout his distinguished career in recognition of his contributions to electrical engineering, control theory, and artificial intelligence. He has been acknowledged for his pioneering work in nonlinear dynamics, robotics, and advanced control systems. Prof. Fortuna was named a Fellow of the IEEE (Institute of Electrical and Electronics Engineers), a prestigious recognition that highlights his outstanding contributions to the field of control systems and nonlinear dynamics. Additionally, he has been awarded various international research grants, reflecting the global impact of his work. He has also been honored with awards from prominent academic and scientific organizations, further underscoring his leadership in the field of electrical engineering. Throughout his career, Prof. Fortuna has been a regular recipient of best paper awards at major conferences and symposiums. His academic achievements, dedication to research, and innovations have earned him widespread recognition and respect in the global scientific community.

Conclusion

Prof. Luigi Fortuna’s accomplishments make him a strong candidate for the Future Frontier Science Award. His extensive experience in complex systems, robust control, and nonlinear science, combined with his leadership and innovative contributions, aligns with the vision of the award. With an emphasis on expanding cross-disciplinary collaborations, mentoring emerging talent, and enhancing public engagement, Prof. Fortuna could further amplify his remarkable legacy in science.

Publications Top Noted

  • Fractional order systems: modeling and control applications
    • Authors: R Caponetto, G Dongola, L Fortuna, I Petras
    • Year: 2010
    • Citations: 1344
  • Soft Sensor for Monitoring and Control of Industrial Processes. In Advances in Industrial Control Series
    • Authors: L Fortuna, S Graziani, A Rizzo, MG Xibilia
    • Year: 2007
    • Citations: 1115
  • Chaotic sequences to improve the performance of evolutionary algorithms
    • Authors: R Caponetto, L Fortuna, S Fazzino, MG Xibilia
    • Year: 2003
    • Citations: 642
  • Timing of surgery following SARS-CoV-2 infection: an international prospective cohort study
    • Authors: COVIDSurg Collaborative
    • Year: 2021
    • Citations: 579
  • Soft sensors for product quality monitoring in debutanizer distillation columns
    • Authors: L Fortuna, S Graziani, MG Xibilia
    • Year: 2005
    • Citations: 401
  • Model order reduction techniques with applications in electrical engineering
    • Authors: L Fortuna, G Nunnari, A Gallo
    • Year: 2012
    • Citations: 321
  • Effects of mobility in a population of prisoner’s dilemma players
    • Authors: S Meloni, A Buscarino, L Fortuna, M Frasca, J Gómez-Gardeñes, V Latora, …
    • Year: 2009
    • Citations: 288
  • A chaotic circuit based on Hewlett-Packard memristor
    • Authors: A Buscarino, L Fortuna, M Frasca, L Valentina Gambuzza
    • Year: 2012
    • Citations: 286
  • Elective cancer surgery in COVID-19–free surgical pathways during the SARS-CoV-2 pandemic: an international, multicenter, comparative cohort study
    • Authors: JC Glasbey, D Nepogodiev, JFF Simoes, O Omar, E Li, ML Venn, PGDME, …
    • Year: 2021
    • Citations: 274
  • Chua’s circuit implementations: yesterday, today and tomorrow
    • Authors: L Fortuna, M Frasca, MG Xibilia
    • Year: 2009
    • Citations: 270
  • Effect of COVID-19 pandemic lockdowns on planned cancer surgery for 15 tumour types in 61 countries: an international, prospective, cohort study
    • Authors: J Glasbey, A Ademuyiwa, A Adisa, E AlAmeer, AP Arnaud, F Ayasra, …
    • Year: 2021
    • Citations: 265
  • Bifurcation and chaos in noninteger order cellular neural networks
    • Authors: P Arena, R Caponetto, L Fortuna, D Porto
    • Year: 1998
    • Citations: 225
  • Chua’s circuit can be generated by CNN cells
    • Authors: P Arena, S Baglio, L Fortuna, G Manganaro
    • Year: 1995
    • Citations: 224
  • Cellular neural networks: chaos, complexity and VLSI processing
    • Authors: G Manganaro, P Arena, L Fortuna
    • Year: 2012
    • Citations: 211
  • Does chaos work better than noise?
    • Authors: M Bucolo, R Caponetto, L Fortuna, M Frasca, A Rizzo
    • Year: 2002
    • Citations: 206

Mantesh Basappa Khot | Engineering | Best Researcher Award

Published on by NESIN Awards

Dr. Mantesh Basappa Khot | Engineering | Best Researcher Award

Assistant Professor at PES University, India

Dr. Mantesh Basappa Khot, Assistant Professor in Mechanical Engineering at PES University, is a dedicated researcher with expertise in machine design, composite materials, and sustainable engineering. He holds a Ph.D. from PES University (2024) and a Master’s degree in Machine Design from Visvesvaraya Technological University, where he was awarded a Gold Medal. Dr. Khot’s research contributions include over 14 international publications in areas such as composite material innovation for automotive and aerospace applications, as well as sustainable solutions like recycling textile and plastic waste. He has actively contributed to curriculum development, including his role in establishing the BEST center at PES University. In addition, Dr. Khot has significant experience in teaching a wide range of undergraduate and postgraduate courses, mentoring students, and organizing conferences. His technical skills in NAAC documentation, finite element analysis, and digital design further enhance his academic and professional profile.

Professional Profile

Education

Dr. Mantesh Basappa Khot has a robust educational background in engineering, which forms the foundation of his academic and research career. He earned his Ph.D. in Mechanical Engineering from PES University in 2024, where his research focused on innovative applications of composite materials. Prior to that, he completed his Master’s degree in Machine Design from Visvesvaraya Technological University, graduating with a Gold Medal, a testament to his academic excellence. His undergraduate studies were in Mechanical Engineering, where he acquired a solid technical foundation. Throughout his academic journey, Dr. Khot has engaged in various interdisciplinary projects, enhancing his expertise in machine design and sustainable engineering. His education is complemented by practical experience and a commitment to advancing engineering principles, making him a valuable asset in both teaching and research environments. Dr. Khot’s educational achievements underscore his dedication to fostering innovation and excellence in the field of mechanical engineering.

Professional Experience

Dr. Mantesh Basappa Khot has accumulated diverse professional experience within academia and research, specializing in mechanical engineering and material sciences. Currently, he serves as an Assistant Professor at the Department of Mechanical Engineering, PES University, where he is deeply involved in both teaching and guiding research projects. Dr. Khot has contributed to various interdisciplinary studies, focusing particularly on composite materials and sustainable engineering solutions. He is known for integrating practical, real-world applications into his curriculum, enhancing students’ understanding of machine design and structural analysis. Previously, Dr. Khot held positions in the industry where he gained hands-on experience in mechanical systems and advanced material applications, further enriching his academic insights. His collaborative projects with industry partners have addressed engineering challenges and have led to innovations in material efficiency and machine resilience. Dr. Khot’s professional experience reflects a blend of academic rigor and applied engineering expertise, positioning him as a leader in his field.

Research Interests

Dr. Mantesh Basappa Khot’s research interests focus on mechanical engineering and material science, specifically in the development and optimization of advanced composite materials for structural applications. His work explores the design, analysis, and application of fiber-reinforced composites, with an emphasis on enhancing their strength, durability, and sustainability. Dr. Khot is particularly interested in lightweight materials that retain high-performance characteristics, making them ideal for automotive, aerospace, and energy sectors. He is also dedicated to sustainable engineering practices, researching biodegradable and eco-friendly composites that minimize environmental impact. His studies delve into the material properties at both macro and micro levels, utilizing experimental and computational modeling techniques to better understand how different material compositions affect performance. Through his research, Dr. Khot aims to contribute to innovations in mechanical design and structural integrity, with a long-term goal of creating safer and more sustainable engineering solutions across various industries.

Awards and Honors

Dr. Mantesh Basappa Khot has been honored with several prestigious awards recognizing his contributions to mechanical engineering and materials science. His research innovations in composite materials and sustainable engineering solutions have earned him accolades from leading institutions and industry bodies. Dr. Khot has received awards for excellence in research, including distinctions at international conferences focused on composite materials and structural engineering. His contributions have also been acknowledged through grants and fellowships that support advanced research in materials science, enabling him to further explore innovative applications of lightweight and eco-friendly materials. Dr. Khot’s work has garnered recognition not only for its academic impact but also for its real-world applicability, especially in automotive and aerospace engineering. His commitment to sustainable engineering and groundbreaking contributions in the field have solidified his reputation as a respected and influential researcher, inspiring new advancements in materials science and mechanical engineering.

Conclusion

Dr. Mantesh Basappa Khot is a strong candidate for the Best Researcher Award due to his extensive publication record, innovative research in sustainable materials, and active involvement in academic and administrative roles. With further emphasis on interdisciplinary and industry-based projects, he could increase his impact and contribution to the mechanical engineering field. Dr. Khot’s academic accomplishments, research focus on sustainable materials, and commitment to teaching and mentorship make him a highly deserving nominee for this award.

Publications Top Noted

  • Plastic waste into fuel using pyrolysis process
    • Authors: MB Khot, S Basavarajappa
    • Year: 2017
    • Citations: 7
  • Effect of tool material on thrust force and delamination in the drilling of coconut leaf sheath fibre reinforced polymer composites
    • Authors: MB Khot, MP Kumar
    • Year: 2021
    • Citations: 5
  • Plastic waste into fuel using pyrolysis process
    • Authors: BK Mantesh, S Basavarajappa
    • Year: 2017
    • Citations: 3
  • A review on textile waste production, management and its applications in construction engineering field
    • Authors: MB Khot, KS Sridhar, D Sethuram
    • Year: 2022
    • Citations: 2
  • Finite element modelling and dynamic characteristic analysis of the human CTL-Spine
    • Authors: S Dayanand, BR Kumar, A Rao, C CV, M B Khot, H Shetty
    • Year: 2020
    • Citations: 2
  • Plastic waste into fuel using pyrolysis process
    • Authors: S Basavarajappa, MB Khot
    • Year: 2017
    • Citations: 2
  • Finite element modelling and simulation of car bonnet’s crashworthiness parameters for pedestrian safety
    • Authors: KS Neeraj, SRS Salanke, SS Tejas, SR Sudhansh, MB Khot
    • Year: 2024
    • Citations: 1
  • A review on fabrication and dynamic characterisation of composite beam structure
    • Authors: J Akshobya, MB Khot
    • Year: 2023
    • Citations: 1
  • A cotton waste reinforced composite for automotive applications: development and thermal characterization
    • Authors: MB Khot, KSSD Sethuram
    • Year: 2024
    • Citations: 0
  • A review on finite element modelling and experimental analysis of crashworthiness design of automotive body
    • Authors: SRS Salanke, S Shantha Raju, T SS, N Kolhapuri Srinivas, MB Khot
    • Year: 2024
    • Citations: 0
  • Finite element analysis & topology optimization of excavator bucket teeth for optimal performance
    • Authors: BAM Mohan, MU Rahaman, R Madhu, MB Khot
    • Year: 2024
    • Citations: 0
  • Recent advancements in 3D printing for gear design and analysis: a comprehensive review
    • Authors: L Pujari, S Manoj, OK Gaddikeri, P Shetty, MB Khot
    • Year: 2024
    • Citations: 0
  • Prediction of elastic properties of cotton waste reinforced epoxy composites for structural applications
    • Authors: MB Khot, KS Sridhar, D Sethuram
    • Year: 2024
    • Citations: 0
  • Design and Analysis of Multitasking Column Climbing Robot
    • Authors: V Shanura Pattara, V Abhi, R Ravi, PV Ranganatha, M Basappa Khot
    • Year: 2023
    • Citations: 0
  • Experimental and Numerical Investigation of Tensile Strength of Hybrid Flax–Glass Epoxy Reinforced Composite
    • Authors: RR Reddy, MB Khot
    • Year: 2023
    • Citations: 0

Aly Mousaad Aly | Engineering | Best Researcher Award

Published on by NESIN Awards

Prof. Aly Mousaad Aly | Engineering | Best Researcher Award

PhD at Louisiana State University, United States

Dr. Jienan Shen is an accomplished Assistant Researcher at the Bionic Sensing and Intelligence Center within the Institute of Biomedical and Health Engineering at the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences. With a robust background in microelectronics and solid-state electronics, Dr. Shen has dedicated his research career to the development of innovative biomedical analysis platforms utilizing microfluidic technology. His work integrates advanced engineering principles with medical applications, aiming to enhance diagnostic and therapeutic processes. An active contributor to the scientific community, Dr. Shen has published extensively and has several patents to his name. His commitment to advancing healthcare technology through research underscores his role as a leader in the field, where he continues to inspire and collaborate with peers and aspiring scientists alike.

Professional Profile

Education

Dr. Shen obtained his Ph.D. in Microelectronics and Solid-State Electronics from Xiamen University, where he developed a strong foundation in semiconductor technology and its applications in biomedical engineering. His doctoral research focused on the integration of microelectronic devices with biological systems, which paved the way for his subsequent exploration of microfluidic technologies. Following his Ph.D., Dr. Shen completed a postdoctoral training program through a collaborative initiative between the Shenzhen Institute of Advanced Technology and Shenzhen Children’s Hospital. This program allowed him to further refine his research skills and gain hands-on experience in applying microfluidic platforms for biomedical applications, solidifying his expertise in creating advanced diagnostic tools that cater to healthcare needs.

Professional Experience

Dr. Shen’s professional experience encompasses various roles that highlight his leadership and collaborative skills in research. As an Assistant Researcher at the Bionic Sensing and Intelligence Center, he leads a postdoctoral project while also participating in numerous significant research initiatives. His involvement includes major national projects, such as the National Key Research and Development Program and the National Natural Science Foundation. He has also contributed to regional initiatives, including the Guangdong Provincial Key Area R&D Program and key projects from the Shenzhen Science and Technology Innovation Commission. His active engagement in these endeavors showcases his ability to work effectively in multidisciplinary teams, driving innovation in biomedical technology and contributing to advancements in health care solutions.

Research Interests

Dr. Shen’s primary research interest lies in the development of biomedical analysis platforms through microfluidic technology. His work focuses on creating innovative tools that enhance the efficiency and accuracy of biomedical diagnostics, allowing for faster and more reliable results. This research area encompasses the design and fabrication of microfluidic devices that integrate biological samples with electronic systems, enabling advanced sensing and analysis capabilities. Dr. Shen is also interested in exploring applications of these technologies in point-of-care diagnostics and personalized medicine. His goal is to bridge the gap between engineering and clinical practice, ultimately improving patient outcomes through the development of novel biomedical solutions that address real-world health challenges.

Awards and Honors

Throughout his career, Dr. Shen has received recognition for his contributions to the field of biomedical engineering. He has authored or co-authored 22 papers in prestigious international journals, which collectively have garnered significant citations, highlighting the impact of his research. Additionally, his innovative work has led to the filing of five international and domestic invention patents, showcasing his commitment to advancing technology in healthcare. His involvement in high-profile research projects has also earned him acknowledgment from various academic and professional organizations. While specific awards may vary, Dr. Shen’s overall accomplishments reflect his dedication to excellence in research and his influence as a thought leader in the domain of microfluidics and biomedical analysis.

Conclusion

Dr. Jienan Shen is a strong candidate for the Best Researcher Award due to his substantial research contributions, innovative spirit, and leadership qualities. His work in developing biomedical analysis platforms using microfluidic technology is highly relevant and impactful. By focusing on improving his outreach efforts and fostering interdisciplinary collaborations, Dr. Shen can further enhance his influence in the scientific community. His achievements not only highlight his dedication to advancing biomedical engineering but also position him as a key contributor to the future of healthcare technologies.

Publication Top Noted

  • 📝 Rapid fabrication of a four-layer PMMA-based microfluidic chip using CO2-laser micromachining and thermal bonding
    • Authors: X Chen, J Shen, M Zhou
    • Year: 2016
    • Citations: 121
  • 🔍 Numerical analysis of mixing behaviors of two types of E-shape micromixers
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 93
  • 📖 Review of membranes in microfluidics
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 84
  • 🌱 From structures, packaging to application: A system-level review for micro direct methanol fuel cell
    • Authors: X Chen, T Li, J Shen, Z Hu
    • Year: 2017
    • Citations: 81
  • 🔄 Numerical and experimental investigation on splitting-and-recombination micromixer with E-shape mixing units
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 44
  • 🏗️ Manufacturing methods and applications of membranes in microfluidics
    • Authors: X Chen, J Shen, Z Hu, X Huo
    • Year: 2016
    • Citations: 38
  • 🌀 Fractal design of microfluidics and nanofluidics—A review
    • Authors: X Chen, T Li, J Shen, Z Hu
    • Year: 2016
    • Citations: 33
  • ❤️ Digital microfluidic thermal control chip-based multichannel immunosensor for noninvasively detecting acute myocardial infarction
    • Authors: J Shen, L Zhang, J Yuan, Y Zhu, H Cheng, Y Zeng, J Wang, X You, …
    • Year: 2021
    • Citations: 28
  • 📏 Design and fabrication of a D33-mode piezoelectric micro-accelerometer
    • Authors: M Xu, H Zhou, L Zhu, J Shen, Y Zeng, Y Feng, H Guo
    • Year: 2019
    • Citations: 20
  • 🔬 Simulation and experimental analysis of a SAR micromixer with F-shape mixing units
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 20
  • 🧬 CRISPR/Cas12a-Assisted isothermal amplification for rapid and specific diagnosis of respiratory virus on a microfluidic platform
    • Authors: J Shen, Z Chen, R Xie, J Li, C Liu, Y He, X Ma, H Yang, Z Xie
    • Year: 2023
    • Citations: 16
  • ⚡ Micro direct methanol fuel cell: functional components, supplies management, packaging technology and application
    • Authors: X Chen, Z Zhang, J Shen, Z Hu
    • Year: 2017
    • Citations: 16
  • 🔄 Design and simulation of a chaotic micromixer with diamond-like micropillar based on artificial neural network
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 15
  • 🖥️ Simulation in system-level based on model order reduction for a square-wave micromixer
    • Authors: X Chen, J Shen
    • Year: 2015
    • Citations: 12
  • 🔧 Fabrication and performance evaluation of two multi-layer passive micromixers
    • Authors: X Chen, J Shen, Z Hu
    • Year: 2018
    • Citations: 10
  • 🧪 Effects of annealing parameters on residual stress and piezoelectric performance of ZnO thin films studied by X-ray diffraction and atomic force microscopy
    • Authors: JN Shen, YB Zeng, MH Xu, LH Zhu, BL Liu, H Guo
    • Year: 2019
    • Citations: 8
  • 🌡️ A three-dimensional simulation analysis of fluid flow and heat transfer in microchannel heat sinks with different structures
    • Authors: J Shen, X Li, Y Zhu, B Zhang, H Guo, B Liu, H Chen
    • Year: 2021
    • Citations: 5
  • 🔬 PMMA microreactor for chemiluminescence detection of Cu (II) based on 1, 10-Phenanthroline-hydrogen peroxide reaction
    • Authors: X Chen, J Shen, T Li
    • Year: 2016
    • Citations: 4
  • 💻 A low-temperature digital microfluidic system used for protein–protein interaction detection
    • Authors: J Shen, J Liao, H Liu, C Liu, C Li, H Cheng, H Yang, H Chen
    • Year: 2023
    • Citations: 3
  • 🛠️ MEMS 中基底和薄膜的 CMP 制造技术
    • Authors: 曾毅波，张杰，许马会，郝锐，沈杰男，周辉，郭航
    • Year: 2018
    • Citations: 3

jienan Shen | Engineering | Best Researcher Award

Published on by NESIN Awards

Dr. jienan Shen | Engineering | Best Researcher Award

Research associate at Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China

Dr. Jienan Shen is an accomplished Assistant Researcher at the Bionic Sensing and Intelligence Center within the Institute of Biomedical and Health Engineering at the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences. With a robust background in microelectronics and solid-state electronics, Dr. Shen has dedicated his research career to the development of innovative biomedical analysis platforms utilizing microfluidic technology. His work integrates advanced engineering principles with medical applications, aiming to enhance diagnostic and therapeutic processes. An active contributor to the scientific community, Dr. Shen has published extensively and has several patents to his name. His commitment to advancing healthcare technology through research underscores his role as a leader in the field, where he continues to inspire and collaborate with peers and aspiring scientists alike.

Professional Profile

Education

Dr. Shen obtained his Ph.D. in Microelectronics and Solid-State Electronics from Xiamen University, where he developed a strong foundation in semiconductor technology and its applications in biomedical engineering. His doctoral research focused on the integration of microelectronic devices with biological systems, which paved the way for his subsequent exploration of microfluidic technologies. Following his Ph.D., Dr. Shen completed a postdoctoral training program through a collaborative initiative between the Shenzhen Institute of Advanced Technology and Shenzhen Children’s Hospital. This program allowed him to further refine his research skills and gain hands-on experience in applying microfluidic platforms for biomedical applications, solidifying his expertise in creating advanced diagnostic tools that cater to healthcare needs.

Professional Experience

Dr. Shen’s professional experience encompasses various roles that highlight his leadership and collaborative skills in research. As an Assistant Researcher at the Bionic Sensing and Intelligence Center, he leads a postdoctoral project while also participating in numerous significant research initiatives. His involvement includes major national projects, such as the National Key Research and Development Program and the National Natural Science Foundation. He has also contributed to regional initiatives, including the Guangdong Provincial Key Area R&D Program and key projects from the Shenzhen Science and Technology Innovation Commission. His active engagement in these endeavors showcases his ability to work effectively in multidisciplinary teams, driving innovation in biomedical technology and contributing to advancements in health care solutions.

Research Interests

Dr. Shen’s primary research interest lies in the development of biomedical analysis platforms through microfluidic technology. His work focuses on creating innovative tools that enhance the efficiency and accuracy of biomedical diagnostics, allowing for faster and more reliable results. This research area encompasses the design and fabrication of microfluidic devices that integrate biological samples with electronic systems, enabling advanced sensing and analysis capabilities. Dr. Shen is also interested in exploring applications of these technologies in point-of-care diagnostics and personalized medicine. His goal is to bridge the gap between engineering and clinical practice, ultimately improving patient outcomes through the development of novel biomedical solutions that address real-world health challenges.

Awards and Honors

Throughout his career, Dr. Shen has received recognition for his contributions to the field of biomedical engineering. He has authored or co-authored 22 papers in prestigious international journals, which collectively have garnered significant citations, highlighting the impact of his research. Additionally, his innovative work has led to the filing of five international and domestic invention patents, showcasing his commitment to advancing technology in healthcare. His involvement in high-profile research projects has also earned him acknowledgment from various academic and professional organizations. While specific awards may vary, Dr. Shen’s overall accomplishments reflect his dedication to excellence in research and his influence as a thought leader in the domain of microfluidics and biomedical analysis.

Conclusion

Dr. Jienan Shen is a strong candidate for the Best Researcher Award due to his substantial research contributions, innovative spirit, and leadership qualities. His work in developing biomedical analysis platforms using microfluidic technology is highly relevant and impactful. By focusing on improving his outreach efforts and fostering interdisciplinary collaborations, Dr. Shen can further enhance his influence in the scientific community. His achievements not only highlight his dedication to advancing biomedical engineering but also position him as a key contributor to the future of healthcare technologies.

Publication Top Noted

  • 📝 Rapid fabrication of a four-layer PMMA-based microfluidic chip using CO2-laser micromachining and thermal bonding
    • Authors: X Chen, J Shen, M Zhou
    • Year: 2016
    • Citations: 121
  • 🔍 Numerical analysis of mixing behaviors of two types of E-shape micromixers
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 93
  • 📖 Review of membranes in microfluidics
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 84
  • 🌱 From structures, packaging to application: A system-level review for micro direct methanol fuel cell
    • Authors: X Chen, T Li, J Shen, Z Hu
    • Year: 2017
    • Citations: 81
  • 🔄 Numerical and experimental investigation on splitting-and-recombination micromixer with E-shape mixing units
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 44
  • 🏗️ Manufacturing methods and applications of membranes in microfluidics
    • Authors: X Chen, J Shen, Z Hu, X Huo
    • Year: 2016
    • Citations: 38
  • 🌀 Fractal design of microfluidics and nanofluidics—A review
    • Authors: X Chen, T Li, J Shen, Z Hu
    • Year: 2016
    • Citations: 33
  • ❤️ Digital microfluidic thermal control chip-based multichannel immunosensor for noninvasively detecting acute myocardial infarction
    • Authors: J Shen, L Zhang, J Yuan, Y Zhu, H Cheng, Y Zeng, J Wang, X You, …
    • Year: 2021
    • Citations: 28
  • 📏 Design and fabrication of a D33-mode piezoelectric micro-accelerometer
    • Authors: M Xu, H Zhou, L Zhu, J Shen, Y Zeng, Y Feng, H Guo
    • Year: 2019
    • Citations: 20
  • 🔬 Simulation and experimental analysis of a SAR micromixer with F-shape mixing units
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 20
  • 🧬 CRISPR/Cas12a-Assisted isothermal amplification for rapid and specific diagnosis of respiratory virus on a microfluidic platform
    • Authors: J Shen, Z Chen, R Xie, J Li, C Liu, Y He, X Ma, H Yang, Z Xie
    • Year: 2023
    • Citations: 16
  • ⚡ Micro direct methanol fuel cell: functional components, supplies management, packaging technology and application
    • Authors: X Chen, Z Zhang, J Shen, Z Hu
    • Year: 2017
    • Citations: 16
  • 🔄 Design and simulation of a chaotic micromixer with diamond-like micropillar based on artificial neural network
    • Authors: X Chen, J Shen
    • Year: 2017
    • Citations: 15
  • 🖥️ Simulation in system-level based on model order reduction for a square-wave micromixer
    • Authors: X Chen, J Shen
    • Year: 2015
    • Citations: 12
  • 🔧 Fabrication and performance evaluation of two multi-layer passive micromixers
    • Authors: X Chen, J Shen, Z Hu
    • Year: 2018
    • Citations: 10
  • 🧪 Effects of annealing parameters on residual stress and piezoelectric performance of ZnO thin films studied by X-ray diffraction and atomic force microscopy
    • Authors: JN Shen, YB Zeng, MH Xu, LH Zhu, BL Liu, H Guo
    • Year: 2019
    • Citations: 8
  • 🌡️ A three-dimensional simulation analysis of fluid flow and heat transfer in microchannel heat sinks with different structures
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Masoud Yaghini | Engineering | Best Researcher Award

Published on by NESIN Awards

Assoc Prof Dr Masoud Yaghini | Engineering | Best Researcher Award

Faculty Member at Iran University of Science and Technology, Iran

Dr. Masoud Yaghini is a distinguished faculty member in the Department of Rail Transportation at the Iran University of Science and Technology. Born on December 8, 1966, he holds an extensive academic and professional background in rail transportation planning and optimization techniques. With over two decades of experience, Dr. Yaghini has made substantial contributions to the fields of transportation logistics, network design, and data mining, particularly within the railway industry. His innovative approaches to complex rail transportation problems have earned him a reputation as a leading researcher in the field. Dr. Yaghini is widely published and continues to shape the future of transportation with cutting-edge research.

Professional Profile

Education

Dr. Yaghini received his Ph.D. in Rail Transportation Planning and Engineering from Northern Jiaotong University, Beijing, China, in 2003, with a focus on dynamic service network design. He also holds an MSc and BSc in Industrial Management from Islamic Azad University, Tehran. His master’s thesis on resource assignment optimization in preventive maintenance laid the foundation for his interest in large-scale optimization problems. Additionally, he furthered his knowledge with specialized training in Ergonomics and Human Factors for Railways from the University of Birmingham, UK, in 2005. This diverse educational background has equipped Dr. Yaghini with both theoretical and practical expertise in optimizing transportation systems.

Professional Experience

Dr. Yaghini has over 20 years of professional experience, primarily as a faculty member at the Iran University of Science and Technology. He teaches a wide range of courses, from advanced computer programming to railway operations management and data mining in transportation. His professional experience extends beyond academia into consultancy work in optimization and transportation planning. Dr. Yaghini has also conducted numerous short courses and workshops in data mining, information management, and metaheuristic algorithms for both academic institutions and private companies. His role as an educator and consultant has allowed him to bridge the gap between academic research and real-world transportation challenges.

Research Interests

Dr. Yaghini’s research primarily focuses on optimization problems in rail transportation, including train scheduling, fleet sizing, and locomotive scheduling. He has a strong interest in metaheuristics such as Genetic Algorithms, Tabu Search, and Ant Colony Optimization, as well as exact solution methods like Column Generation and Branch and Cut. His work also explores data mining techniques applied to railway systems, such as the prediction of train delays and analysis of accident data. His research is driven by the need to optimize and improve efficiency in transportation systems, particularly in large-scale rail networks. His work has significant practical implications for enhancing railway operations and minimizing costs.

Awards and Honors

Dr. Yaghini’s contributions to transportation research have earned him multiple accolades, though his recognition mainly stems from his published works in high-impact journals such as Applied Mathematical Modelling and Journal of Transportation Engineering. He has been recognized for his work on solving complex railway optimization problems through innovative algorithms like Ant Colony Optimization and Simulated Annealing. In addition to his publications, Dr. Yaghini has been invited to present his findings at numerous international conferences. While he has not widely publicized any specific awards, his ongoing research contributions have earned him a solid reputation in the global transportation research community, marking him as a key figure in rail transportation planning and optimization.

Conclusion

Dr. Masoud Yaghini’s research portfolio is impressive, with a strong emphasis on rail transportation and optimization problems. His consistent contributions to both academic knowledge and practical railway systems demonstrate his potential for recognition as a top researcher. By broadening his collaborative network and impact beyond academia, he could further strengthen his candidacy for prestigious awards like the Best Researcher Award.

Publication top noted

  1. Online prediction of arrival and departure times in each station for passenger trains using machine learning methods
    • Vafaei, S., Yaghini, M.
    • Transportation Engineering, 2024
    • 📖 0 citations
  2. Analysis of the relationship between geometric parameters of railway track and twist failure by using data mining techniques
    • Izadi Yazdan Abadi, E., Khadem Sameni, M., Yaghini, M.
    • Engineering Failure Analysis, 2023
    • 📖 2 citations
  3. A mathematical formulation and an LP-based neighborhood search matheuristic solution method for the integrated train blocking and shipment path problem
    • Yaghini, M., Mirghavami, M., Zare Andaryan, A.
    • Networks, 2021
    • 📖 5 citations
  4. Efficient algorithms to minimize makespan of the unrelated parallel batch-processing machines scheduling problem with unequal job ready times
    • Zarook, Y., Rezaeian, J., Mahdavi, I., Yaghini, M.
    • RAIRO – Operations Research, 2021
    • 📖 10 citations
  5. An adaptive structure on a new local branching algorithm using instantaneous dimensions and convergence speed: a case study for multi-commodity network design problems
    • Hajiyan, H., Yaghini, M.
    • SN Applied Sciences, 2020
    • 📖 1 citation
  6. Optimization of embedded rail slab track with respect to environmental vibrations
    • Esmaeili, M., Yaghini, M., Moslemipour, S.
    • Scientia Iranica, 2020
    • 📖 0 citations
  7. An Effective Improvement to Main Non-periodic Train Scheduling Models by a New Headway Definition
    • Jafarian-Moghaddam, A.R., Yaghini, M.
    • Iranian Journal of Science and Technology – Transactions of Civil Engineering, 2019
    • 📖 2 citations
  8. Optimizing headways for urban rail transit services using adaptive particle swarm algorithms
    • Hassannayebi, E., Zegordi, S.H., Amin-Naseri, M.R., Yaghini, M.
    • Public Transport, 2018
    • 📖 26 citations
  9. Train timetabling at rapid rail transit lines: a robust multi-objective stochastic programming approach
    • Hassannayebi, E., Zegordi, S.H., Amin-Naseri, M.R., Yaghini, M.
    • Operational Research, 2017
    • 📖 48 citations
  10. Timetable optimization models and methods for minimizing passenger waiting time at public transit terminals
  • Hassannayebi, E., Zegordi, S.H., Yaghini, M., Amin-Naseri, M.R.
  • Transportation Planning and Technology, 2017
  • 📖 35 citations