Assist. Prof. Dr. Ahmed Suliman Bader Ali | Engineering | Best Researcher Award

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Assist. Prof. Dr. Ahmed Suliman Bader Ali | Engineering | Best Researcher Award

Assistant Professor at UNIVERSITY TECHNOLOGY MARA, Malaysia

Dr. Ali Ahmed Suliman Bader is a highly accomplished civil engineering academic with extensive expertise in transportation, highway engineering, and material sciences. Currently serving as a Senior Lecturer at Universiti Teknologi MARA (UiTM), Malaysia, he combines significant research, teaching, and leadership roles. He has a strong track record in both experimental and computational research, demonstrated by his numerous publications in prestigious journals and his active participation in international conferences. He has also led various research projects focused on asphalt modification, transportation technology, and sustainable materials.

Professional Profile

Education

Dr. Ali Ahmed Suliman Bader holds a Ph.D. in Civil Engineering and Environmental from Universiti Tun Hussein Onn Malaysia (UTHM), specializing in Highway Engineering. He was awarded a scholarship from the Centre for Research, Innovation Commercialization, and Consultancy (ORICC) during his doctoral studies. Dr. Bader also holds a Master of Science in Civil Engineering and Environmental from the same institution, where he graduated with a remarkable 3.6/4 GPA. His Bachelor’s degree in Civil Engineering, which he completed at the University of Benghazi, Libya, saw him graduate at the top of his class, majoring in high-rise structure design. His strong academic foundation has paved the way for a successful career in both teaching and research. Dr. Bader’s education, combined with his dedication to continuous learning and professional development, has enabled him to make significant contributions to the field of civil engineering.

Experience

Dr. Ali Ahmed Suliman Bader has a diverse and enriching experience in both academia and industry. He currently serves as a Senior Lecturer at Universiti Teknologi MARA (UiTM), Malaysia, where he teaches civil engineering courses and supervises postgraduate students. With a substantial teaching load of 16 hours per week, Dr. Bader’s role involves preparing course materials, delivering lectures, and mentoring students. He is also actively engaged in research, leading projects and securing funding. Previously, he held the position of Vice Chancellor at the Middle East University of Modern Science (MEUMS) in Libya, where he oversaw academic planning and curriculum development. His industry experience includes working as the Head of the Department of BIM at Perunding IRZI Sdn Bhd in Malaysia, where he integrated building information technologies into infrastructure projects. Dr. Bader’s comprehensive experience in both teaching and industry gives him a unique perspective on civil engineering applications.

Research Interests

Dr. Ali Ahmed Suliman Bader’s research focuses on several key areas within civil engineering, particularly in transportation engineering, highway technology, and material science. His work centers around sustainable development, with a focus on modifying asphalt mixtures using waste-based geopolymer materials and recycled waste products. Dr. Bader has also contributed to advancing highway engineering by investigating new materials for pavement construction and evaluating the impact of various modifiers on the performance of asphalt. His research explores the use of advanced technologies, such as nano-clay and micro-bauxite powders, in enhancing the properties of asphalt for greater durability and performance. Additionally, he has been involved in environmental sustainability projects, aiming to reduce the environmental impact of construction materials. Dr. Bader’s interdisciplinary research is geared towards creating innovative, cost-effective solutions to pressing challenges in infrastructure and transportation, making him a key player in his field.

Awards and Honors

Dr. Ali Ahmed Suliman Bader has been recognized for his exceptional contributions to civil engineering through numerous awards and honors. He has received multiple gold and silver awards at prestigious events such as the International Invention, Innovation & Technology Exhibition (ITEX), including Gold Awards at the ITEX 2018 in Kuala Lumpur and the SIIF 2018 in Korea. His research and innovation have earned him the Best Category Award at EREKA UNIMAP 2018 and the Best Paper Award at the IMAACS 2019. Dr. Bader has also been acknowledged for his outstanding work in research and development, receiving a Bronze Award at the Research and Innovation (R&I) Festival in 2016 and 2017. His recognition spans various fields, from transportation engineering to sustainable materials, demonstrating his commitment to advancing engineering technologies. Dr. Bader’s collection of awards reflects his leadership in the academic and research communities.

Conclusion

Dr. Ali Ahmed Suliman Bader is a highly qualified candidate for the Best Researcher Award. His substantial contributions to civil engineering research, exemplary teaching, and leadership in academic and community services position him as a standout figure in the field. With a strong publication record, international awards, and a commitment to advancing sustainable engineering practices, Dr. Bader’s innovative work continues to inspire and shape the future of civil engineering.

Publications Top Noted

  • Milad, A.A., Ali, A.S.B., Yusoff, N.I.M.
    • Title: “A review of the utilisation of recycled waste material as an alternative modifier in asphalt mixtures”
    • Journal: Civil Engineering Journal
    • Year: 2020
    • Citations: 59
  • Milad, A., Ali, A.S.B., Babalghaith, A.M., Memon, Z.A., Mashaan, N.S., Arafa, S., et al.
    • Title: “Utilisation of waste-based geopolymer in asphalt pavement modification and construction—A review”
    • Journal: Sustainability
    • Year: 2021
    • Citations: 56
  • Usman, N., Masirin, M.I.M., Ahmad, K.A., Ali, A.S.B.
    • Title: “Application of recycled polyethylene terephthalate fiber in asphaltic mix for fatigue life improvement”
    • Conference: GCEC 2017: Proceedings of the 1st Global Civil Engineering Conference
    • Year: 2019
    • Citations: 13
  • Milad, A., Yusoff, N.I.M., Majeed, S.A., Ibrahim, A.N.H., Hassan, M.A., Ali, A.S.B.
    • Title: “Using an azure machine learning approach for flexible pavement maintenance”
    • Conference: 16th IEEE International Colloquium on Signal Processing & Its Applications
    • Year: 2020
    • Citations: 11
  • Ibrahim, A.N.H., Ahmad, A.S., Moh’d Akhir, N., Borhan, M.N.
    • Title: “Performance evaluation of stone mastic asphalt (SMA) using geopolymer as an asphalt modifier”
    • Journal: Jordan Journal of Civil Engineering
    • Year: 2016
    • Citations: 9
  • Masirin, M.I.M., Al Allam, A.M., Ali, A.S.B.
    • Title: “Effect of Batu Pahat Soft Clay (BPSC) concentrations on the physical and rheological properties of asphalt binder”
    • Journal: Pertanika Journal of Science and Technology
    • Year: 2017
    • Citations: 7
  • Masirin, M.I.A., Mohd Idrus, Mohd Masirin, A.S.B., Mustapa, M.S., et al.
    • Title: “Analysis of Physical and Microstructural Properties on Parit Nipah Peat Particles as Sustainable Asphalt Modifier”
    • Journal: Materials Science Forum
    • Year: 2020
    • Citations: 6*
  • Al Allam, A.M., Masirin, M.I.M., Abdullah, M.E., Bader, A.S.
    • Title: “Evaluation of the permanent deformations and aging conditions of Batu Pahat soft clay-modified asphalt mixture by using a dynamic creep test”
    • Conference: MATEC Web of Conferences
    • Year: 2016
    • Citations: 5
  • Elghatas, H.M.A., Aman, M.Y.B., Ali, A.S.B.
    • Title: “An assessment on the physical and rheological properties of asphalt binder modified with micro bauxite powder (MBP)”
    • Conference: Advances in Civil Engineering Materials: Selected Papers of the ICACE
    • Year: 2019
    • Citations: 4
  • Elgadi, A.A., Ismail, L.H., Al Bargi, W.A., Ali, A.S.
    • Title: “Selecting indicators for the sustainable development of residential neighborhoods in Tripoli, Libya”
    • Conference: IOP Conference Series: Materials Science and Engineering
    • Year: 2016
    • Citations: 3

Xu Zhang | Engineering Award | Best Scholar Award

Published on by Global Scholar Awards

Dr. Xu Zhang | Engineering Award | Best Scholar Award

Associate professor at Hubei University of Technology, China

Xu Zhang is a distinguished scholar specializing in intelligent non-destructive testing (NDT) technologies. With a solid academic foundation in Acoustics, her expertise spans sensor design, guided wave testing, and the integration of artificial intelligence in NDT systems. Zhang has been the principal investigator on several prestigious projects, including National Natural Science Foundation of China and National Key Research and Development Plan projects. She has made significant contributions to the fields of electromagnetic acoustic transducers (EMATs), guided wave detection methods, and corrosion imaging. Her research is not only innovative but also highly relevant to critical industries such as aerospace, automotive, and infrastructure.

Professional Profile

Education

Xu Zhang’s academic journey began with a Bachelor’s degree in Acoustics from Nanjing University in 2010. She furthered her education with a Master’s and PhD in Acoustics from the prestigious Chinese Academy of Sciences, where she honed her research focus on non-destructive testing technologies. In 2016, she became an Associate Professor in the Department of Mechanical Engineering at Hubei University of Technology. Xu is currently a Visiting Fellow at the University of Bristol, where she collaborates with global experts on advanced NDT methods. Her academic background has equipped her with a deep understanding of the complexities in material testing, structural health monitoring, and the application of electromagnetic and ultrasonic technologies in engineering.

Experience

Xu Zhang has extensive experience in the field of non-destructive testing and advanced materials inspection. Since 2016, she has served as an Associate Professor at Hubei University of Technology, specializing in intelligent NDT technologies. Zhang has been the Principal Investigator (PI) in numerous high-profile national and provincial projects, focusing on ultrasonic and electromagnetic testing techniques for stress corrosion cracking and high-temperature creep materials. Notable projects she has led include the development of an ultrasonic phased array detection system for automotive steering parts and the creation of technology for pipeline corrosion imaging. Her expertise spans sensor design, guided wave testing, and the integration of artificial intelligence into NDT systems. Zhang is also a Senior Member of the Chinese Mechanical Engineering Society and an active participant in global research discussions on intelligent testing methodologies.

Research Focus

Xu Zhang’s research is primarily focused on intelligent non-destructive testing (NDT) technologies, with a specific emphasis on ultrasonic and electromagnetic guided wave techniques. She is dedicated to the development of advanced sensor systems and diagnostic tools that can detect flaws and assess material integrity in complex engineering structures. One of her key areas of research is the integration of artificial intelligence into NDT methodologies, enabling more efficient and accurate defect detection. Zhang’s work has applications in diverse industries, including automotive, aerospace, and infrastructure, particularly in stress corrosion cracking detection, high-temperature material assessment, and pipeline monitoring. Additionally, her research explores the enhancement of testing systems with electromagnetic transducers and phased array technologies, which improve detection sensitivity and system reliability. Her contributions to NDT technology continue to shape the future of materials testing and structural health monitoring.

Awards and Honors

Xu Zhang has been recognized for her pioneering work in non-destructive testing, particularly in the application of electromagnetic and ultrasonic guided wave technologies. As a Principal Investigator (PI), she has secured several prestigious grants and awards, including the National Key Research and Development Plan Project and the National Natural Science Foundation of China Project. Her research on stress corrosion cracking detection, material assessment, and corrosion imaging has earned her numerous accolades. Zhang has also been honored with key research project leadership positions from the Provincial Science and Technology Department, reflecting her influence in advancing the state of engineering diagnostics. She continues to contribute to the scientific community, and her work in non-destructive testing systems is frequently recognized for its practical applications in the fields of materials science and engineering.

Conclusion

Xu Zhang is a leading figure in the field of intelligent non-destructive testing, with an impressive array of research accomplishments and leadership in cutting-edge projects. Her scholarly work in the development of advanced testing systems and her commitment to pushing the boundaries of engineering innovation make her an outstanding candidate for the Best Scholar Award. With a strong foundation in both academic research and practical applications, Zhang’s continued contributions to the field hold the promise of significant advancements in industrial safety and technology.

Publications Top Noted

A novel amplitude enhancement method of EMAT for High-frequency Rayleigh-like waves in Circumferential propagation

Authors: Zhang, X., Li, B., Niu, X., Song, X., Wu, Q.

Citations: 0

Year: 2024

Journal: NDT and E International, 148, 103231

Investigation of an Active Focusing Planar Piezoelectric Ultrasonic Transducer

Authors: Wu, Q., You, B., Zhang, X., Tu, J.

Citations: 0

Year: 2024

Journal: Sensors, 24(13), 4082

Characterization of Small Delamination Defects by Multilayer Flexible EMAT

Authors: Chen, T., Liu, S., Lv, C., Wu, Q., Zhang, X.

Citations: 1

Year: 2024

Journal: IEEE Sensors Journal, 24(12), pp. 19210–19219

Unidirectional focusing Rayleigh waves EMAT for plate surface defect Inspection

Authors: Chen, T., Lou, T., Lv, C., Wu, Q., Zhang, X.

Citations: 0

Year: 2024

Journal: Nondestructive Testing and Evaluation (Article in Press)

Design and experimental study of electromagnetic ultrasonic single-mode guided wave transducer for small-diameter stainless steel tubes

Authors: Tu, J., Zhan, X., Sun, H., Zhang, X., Song, X.

Citations: 3

Year: 2024

Journal: Nondestructive Testing and Evaluation (Article in Press)

Internal and External Pipe Defect Characterization via High-Frequency Lamb Waves Generated by Unidirectional EMAT

Authors: Zhang, X., Li, B., Zhang, X., Yuan, J., Wu, Q.

Citations: 3

Year: 2023

Journal: Sensors (Basel, Switzerland), 23(21)

Bolt Axial Stress Measurement Based on the Dual-Mode Electromagnetic Acoustic Transducer

Authors: Zhang, X., Li, W., Wu, Q., Cai, C., Song, X.

Citations: 2

Year: 2023

Journal: IEEE Sensors Journal, 23(13), pp. 13978–13986

Energy Transfer Efficiency Based Nonlinear Ultrasonic Testing Technique for Debonding Defects of Aluminum Alloy Foam Sandwich Panels

Authors: Tu, J., Yao, N., Ling, Y., Zhang, X., Song, X.

Citations: 0

Year: 2023

Journal: Sensors, 23(6), 3008

Optimized Design of Torsional Guided Wave Magnetostrictive Patch Transducer Based on Reversed Wiedemann Effect

Authors: Li, C., Yang, R., Gu, J., Wang, S., Zhang, X.

Citations: 5

Year: 2023

Journal: Journal of Nondestructive Evaluation, 42(1), 26

Enhancing the Lift-Off Performance of EMATs by Applying an Fe3O4 Coating to a Test Specimen

Authors: Liang, B., Li, Z., Zhai, G., Zhang, X., Dixon, S.

Citations: 5

Year: 2023

Journal: IEEE Transactions on Instrumentation and Measurement, 72, 9502104

 

 

 

Luigi Fortuna | Engineering | Future Frontier Science Award

Published on by Global Scholar 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

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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 Global Scholar 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 Global Scholar 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
    • 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

Masoud Yaghini | Engineering | Best Researcher Award

Published on by Global Scholar 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