Xiaohong Lu | Engineering | Best Researcher Award

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Prof. Dr. Xiaohong Lu | Engineering | Best Researcher Award

Dalian University of Technology | China

Prof. Dr. Xiaohong Lu is a distinguished academic and innovator in the field of mechanical engineering, currently serving as a Professor at the School of Mechanical Engineering, Dalian University of Technology, China. She is a senior researcher at the State Key Laboratory of High-performance Precision Manufacturing, where her work focuses on advanced manufacturing processes including micro-milling, high-speed machining, and friction stir welding. With over two decades of experience in research and academia, she has significantly contributed to the evolution of precision machining technologies through innovative research, interdisciplinary collaboration, and knowledge dissemination. Her dedication to mentoring, scientific excellence, and technological innovation has made her a respected figure both nationally and internationally.

Professional Profile

Scopus

ORCID

Google Scholar

Education

Prof. Dr. Xiaohong academic journey showcases a strong foundation in mechanical and electric engineering. She earned her Ph.D. from Dalian University of Technology, where she focused on research topics that would later become central to her academic career. Her Master of Science degree was obtained from Inner Mongolia Agricultural University, with emphasis on mechanical systems and engineering principles. She completed her Bachelor of Science in Mechanical Design, Manufacture, and Automation at Jilin University. These academic achievements have provided her with the theoretical knowledge and practical insight essential for driving innovation in engineering science.

Experience

Prof. Dr. Xiaohong career reflects a steady progression through academic ranks and a consistent commitment to research and education. She began as a Postdoctoral Researcher in Instrument Science and Technology at Dalian University of Technology, where she deepened her expertise in precision measurement and mechanical systems. She later served as a Lecturer and Associate Professor before being appointed as a full Professor. Her academic path also includes valuable international experience as a Visiting Scholar at the Georgia Institute of Technology in the United States, where she collaborated on research in high-performance machining and advanced manufacturing technologies. Throughout her career, she has successfully led numerous research projects, mentored graduate and undergraduate students, and contributed to the development of intelligent manufacturing solutions.

Research Interests

Prof. Dr. Xiaohong Lu multidisciplinary research addresses core challenges in modern manufacturing systems. Her key areas of interest encompass precision and micro-machining of difficult-to-machine materials, numerical simulation of cutting and milling processes, and measurement and control in friction stir welding. Additionally, she focuses on smart and automated mechanical manufacturing technologies, as well as computer-aided design and manufacturing (CAD/CAM) systems integrated with production engineering. Her research not only bridges theoretical frameworks with industrial applications but also drives the advancement of material performance, machining accuracy, and intelligent automation in manufacturing.

Awards & Honors

Prof. Dr. Xiaohong Lu has been the recipient of numerous prestigious awards that reflect her excellence in both scientific research and academic mentorship. She has guided students to achieve multiple top honors in national and regional mechanical engineering competitions, earning several first, second, and third prizes along with distinction awards for creative design. Her contributions to global engineering education were recognized with an international academic award from the British Institution of Mechanical Engineers. She has also received significant recognition for her innovation in intellectual property, including a first prize in a prominent patent award. Prof. Lu has been honored by national education authorities for her research in natural sciences and has earned accolades for her teaching performance and curriculum development. Her consistent success in both research leadership and student mentoring underscores her exceptional impact on the academic and engineering communities.

Publications

  • Title: Transit network design based on travel time reliability
    Journal: Transportation Research Part C: Emerging Technologies
    Published on: October 2014
    Citation: 243

  • Title: Design and implementation of lean facility layout system of a production line
    Journal: International Journal of Industrial Engineering: Theory, Applications and Practice
    Published on: June 2011
    Citation: 112

  • Title: Anisotropic sliding on dual-rail hydrophilic tracks
    Journal: Lab on a Chip
    Published on: March 2017
    Citation: 72

  • Title: Model for the prediction of 3D surface topography and surface roughness in micro-milling Inconel 718
    Journal: The International Journal of Advanced Manufacturing Technology
    Published on: October 2018
    Citation: 69

  • Title: Surface roughness prediction in ultrasonic vibration-assisted milling
    Journal: Journal of Advanced Mechanical Design, Systems, and Manufacturing
    Published on: August 2020
    Citation: 65

  • Title: Deflection prediction of micro-milling Inconel 718 thin-walled parts
    Journal: Journal of Materials Processing Technology
    Published on: February 2021
    Citation: 64

  • Title: The effect of cutting parameters on micro-hardness and the prediction of Vickers hardness
    Journal: Measurement
    Published on: May 2019
    Citation: 60

Conclusion

Prof. Dr. Xiaohong Lu exceptional academic journey, cutting-edge research, and impactful mentorship place her at the forefront of mechanical engineering innovation in China and beyond. Her contributions have not only advanced the scientific understanding of machining and manufacturing technologies but have also shaped the next generation of engineers through education and leadership. With numerous national projects, high-impact publications, and significant patents to her name, she is a strong and deserving nominee for leading research awards in science and engineering.

Amin Jajarmi | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Amin Jajarmi | Engineering | Best Researcher Award

University of Bojnord | Iran

Dr. Amin Jajarmi is a renowned Associate Professor of Electrical Engineering at the University of Bojnord, Iran, specializing in control systems and fractional calculus. he has significantly contributed to nonlinear dynamics, fractional-order models, and optimal control. With an extensive portfolio of high-impact publications and international collaborations, Dr. Jajarmi stands out as a global leader in mathematical modeling and engineering applications.

Author Profile👤

Google Scholar

ORCID

Scopus

Strengths for the Awards✨

Dr. Amin Jajarmi demonstrates an exceptional research profile that firmly establishes his eligibility for the Best Researcher Award:

  • Prolific Research Output: With over 85 peer-reviewed journal articles, numerous book chapters, and more than 40 conference proceedings, Dr. Jajarmi’s academic contribution is not only vast but highly relevant in the fields of fractional calculus, optimal control, and applied mathematics.

  • High Research Impact: He holds an H-index of 49 on Google Scholar and 47 on Scopus, with over 7600 citations—a clear indicator of sustained influence and scholarly recognition. Notably, he has 25 Highly Cited/Hot Papers listed in the Web of Science.

  • Global Recognition: He is ranked among the World’s Top 2% Scientists (Elsevier) and a Highly Ranked Scholar (ScholarGPS™), reflecting his significant global impact.

  • Editorial and Peer Roles: His participation as editor/guest editor in reputed journals such as Symmetry, Open Physics, and Mathematical Problems in Engineering demonstrates his leadership in the scientific community.

  • Prestigious Awards: He has received over 10 major awards, including the Young Distinguished Researcher Award (2024), Best Academic Staff Researcher (2023 & earlier), and Oliviu Gherman Award for excellence in fractional calculus.

  • International Collaboration: With collaborative research experience in Germany, Turkey, and UAE, Dr. Jajarmi maintains a robust international academic network.

🎓 Education

Dr. Jajarmi completed his Ph.D. in Control Engineering from Ferdowsi University of Mashhad, Iran, in 2012 under the mentorship of Prof. Ali Vahidian Kamyad and Prof. Naser Pariz, focusing on nonlinear optimal control problems using modal series. He also obtained his M.Sc. (2007) and B.Sc. (2005) from the same university, demonstrating a consistent and deep engagement with control theory and systems modeling throughout his academic journey.

🧑‍🏫 Experience

Currently an Associate Professor since 2019, Dr. Jajarmi has served the University of Bojnord with distinction. His global outreach includes visiting researcher roles in Germany (Otto-von-Guericke University), Turkey (Middle East Technical University, Cankaya University), and various academic conferences across Europe and Asia. Between 2012–2019, he was an Assistant Professor, where he laid the foundation for his influential research career.

🔬 Research Interests On Engineering

Dr. Jajarmi’s research explores the intersection of control theory and fractional calculus, emphasizing computational methods for optimal control, modeling of chaotic phenomena, and the application of fractional differential equations in engineering, finance, biology, and epidemiology. His interdisciplinary work enhances predictive accuracy and control robustness in complex systems.

🏅 Awards and Honors

Dr. Jajarmi has received numerous prestigious awards, including the World’s Top 2% Scientists recognition (Elsevier, 2023), the Highly Ranked Scholar status (ScholarGPS™), and Young Distinguished Researcher Award at the 7th ICMMAAC (2024). He has also received multiple “Best Academic Staff Researcher” awards, the CMES Young Researcher Award, and the Oliviu Gherman Award for excellence in fractional calculus research.

đź“š Selected Publications

  • A new study on the mathematical modelling of human liver with Caputo-Fabrizio fractional derivative
    Authors: D. Baleanu, A. Jajarmi, H. Mohammadi, S. Rezapour
    Year: 2020
    Citations: 790

  • A new fractional model and optimal control of a tumor-immune surveillance with non-singular derivative operator
    Authors: D. Baleanu, A. Jajarmi, S.S. Sajjadi, D. Mozyrska
    Year: 2019
    Citations: 354

  • Hyperchaotic behaviours, optimal control, and synchronization of a nonautonomous cardiac conduction system
    Authors: D. Baleanu, S.S. Sajjadi, J.H. Asad, A. Jajarmi, E. Estiri
    Year: 2021
    Citations: 276

  • A new fractional analysis on the interaction of HIV with CD4+ T-cells
    Authors: A. Jajarmi, D. Baleanu
    Year: 2018
    Citations: 226

  • A new adaptive synchronization and hyperchaos control of a biological snap oscillator
    Authors: S.S. Sajjadi, D. Baleanu, A. Jajarmi, H. Mohammadi Pirouz
    Year: 2020
    Citations: 217

  • A new fractional modelling and control strategy for the outbreak of dengue fever
    Authors: A. Jajarmi, S. Arshad, D. Baleanu
    Year: 2019
    Citations: 213

  • On the fractional optimal control problems with a general derivative operator
    Authors: A. Jajarmi, D. Baleanu
    Year: 2021
    Citations: 211

  • A new and efficient numerical method for the fractional modelling and optimal control of diabetes and tuberculosis co-existence
    Authors: A. Jajarmi, B. Ghanbari, D. Baleanu
    Year: 2019
    Citations: 210

  • On the nonlinear dynamical systems within the generalized fractional derivatives with Mittag–Leffler kernel
    Authors: D. Baleanu, A. Jajarmi, M. Hajipour
    Year: 2018
    Citations: 184

  • A new comparative study on the general fractional model of COVID-19 with isolation and quarantine effects
    Authors: D. Baleanu, M. Hassan Abadi, A. Jajarmi, K. Zarghami Vahid, J.J. Nieto
    Year: 2022
    Citations: 181

  • The fractional features of a harmonic oscillator with position-dependent mass
    Authors: D. Baleanu, A. Jajarmi, S.S. Sajjadi, J.H. Asad
    Year: 2020
    Citations: 168

  • A New Iterative Method for the Numerical Solution of High-order Nonlinear Fractional Boundary Value Problems
    Authors: A. Jajarmi, D. Baleanu
    Year: 2020
    Citations: 167

🧾 Conclusion

🌟 With a global reputation for excellence in fractional modeling and control engineering, Dr. Amin Jajarmi exemplifies academic leadership and innovation. His extensive research portfolio, impactful publications, high citation metrics (Scopus h-index: 47, Google Scholar h-index: 49), and multiple accolades make him a truly deserving candidate for the Outstanding Scientist Award. His work continues to inspire advancements in engineering science and interdisciplinary system modeling.

Jinguo Han | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Jinguo Han | Engineering | Best Researcher Award

Shandong University of Technology | China

Dr. Jinguo Han is a distinguished Associate Professor at the School of Mechanical Engineering, Shandong University of Technology. He has built a prolific career in mechanical and mechatronic engineering, with extensive contributions to advanced materials processing, surface modification, and high-precision manufacturing. His innovative research bridges academia and industry, providing impactful solutions in aerospace, automotive, and biomedical fields.

Professional profile👤

Scopus

ORCID

Strengths for the Awards✨

Dr. Jinguo Han stands out as a pioneering researcher in the field of advanced materials processing and ultra-precision manufacturing. With a Ph.D. in Mechanical Engineering and a rapid academic progression to Associate Professor at Shandong University of Technology, his career demonstrates an impressive blend of theoretical rigor and technological innovation. His interdisciplinary research—ranging from ultrasonic rolling, laser-assisted machining, to multi-dimensional vibration-assisted processing—has direct applications in aerospace, biomedical, and automotive industries, reflecting real-world impact.

Dr. Han has authored more than 10 high-impact publications in leading journals like IEEE Transactions on Industrial Electronics, Materials & Design, and Micromachines. Notably, several of these are first-author or corresponding-author papers, reflecting his independent leadership in research. His work is not only academically relevant but also highly applied, evidenced by eight national patents and consistent grant acquisition, including funding from NSFC and provincial bodies.

🎓 Education

Dr. Han earned his Ph.D. in Mechanical Engineering from Changchun University of Technology (2015–2018), preceded by a Master’s in Mechatronic Engineering from the same institution (2012–2015). His academic journey began with a Bachelor’s in Mechatronic Engineering at Heze University (2008–2012). His education laid a solid foundation for multidisciplinary research across engineering and material sciences. 🎓

đź’Ľ Experience

Since July 2023, Dr. Han serves as an Associate Professor at Shandong University of Technology. Prior to this, he was a Lecturer at the same institution (2018–2023). His academic leadership is evident through successful mentorships, extensive project coordination, and laboratory development in manufacturing processes and simulation.

🔬 Research Interests On Engineering

Dr. Han’s research revolves around ultra-precision machining, nanomachining, laser-assisted processes, and microstructure formation. He explores cutting of hard and brittle materials, vibration-assisted technologies, surface integrity, materials characterization, and innovative tool design. His work consistently pushes the boundaries of micro-manufacturing, benefiting cutting-edge industrial applications. 🛠️

🏆 Awards and Grants

Dr. Han has secured prestigious national and provincial-level research grants, including from the National Natural Science Foundation of China, Shandong Provincial Department of Education, and the China Postdoctoral Science Foundation. These honors underscore his leadership in low-damage machining, vibration modulation, and laser-elliptical cutting.

đź“š Publications

Dr. Han has published numerous impactful articles in peer-reviewed journals. Here are selected works:

  1. Finite element investigation on shear deformation and cutting force for elliptical vibration cutting Ti6Al4V alloy – The International Journal of Advanced Manufacturing Technology, 2025 (Cited by 10+)

  2. Molecular dynamics simulation of material removal in monocrystalline silicon – Journal of Mechanical Science and Technology, 2025 (Cited by 5+)

  3. Multi-objective design of a tri-axial servo cutting system – Journal of Manufacturing Processes, 2022, 84:1133–1149 (Cited by 22)

  4. Hierarchical micro/nano structures via piezoelectric system – Materials & Design, 2022, 224 (Cited by 35)

  5. Investigation of cutting force in 3D elliptical vibration – Micromachines, 2022, 13(8) (Cited by 18)

  6. Development of grinding tool with flexible composite – Materials and Manufacturing Processes, 2020, 36(4): 479–487 (Cited by 16)

  7. Optimization of elliptical vibration-assisted cutting system – IEEE Transactions on Industrial Electronics, 2019, 66(2): 1151–1161 (Cited by 41)

  8. Piezoelectric tool actuator for vibration cutting – Piezoelectric Actuators, IntechOpen, 2022 (Cited by 9)

  9. Three-dimensional vibration turning device – Micromachines, 2017, 8(10) (Cited by 13)

  10. Piezoelectric actuator for elliptical vibration turning – Smart Materials and Structures, 2017, 26(8) (Cited by 19)

  11. Predictive model of cutting force in vibration cutting – International Journal of Mechanical Sciences, 2016, 117: 43–52 (Cited by 27)
    đź“–

đź“„ Conclusion

Dr. Jinguo Han is a visionary in mechanical and precision engineering. Through groundbreaking research, 11+ peer-reviewed articles, multiple patents, and successful projects, he exemplifies excellence in high-impact academic innovation. His work continues to shape future technologies in precision manufacturing, and his nomination for a prestigious research award is highly merited.

Jingting Liu | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Jingting Liu | Engineering | Best Researcher Award

Shandong University | China

Dr. Jingting Liu is an Associate Professor in the Process Equipment and Control Engineering Department at Shandong University. She holds a Ph.D. in Chemical Process Machinery from Zhejiang University and a B.S. in Process Equipment and Control Engineering from China University of Petroleum. Her work focuses on fluid dynamics, vibration, and acoustics, with a particular interest in bubble dynamics.

Professional profile👤

Scopus

Strengths for the Awards✨

  • Research Excellence: Jingting Liu has led multiple research projects, notably funded by prestigious institutions like the National Natural Science Foundation of China and various provincial foundations, highlighting her capacity to secure competitive funding.

  • Publication Record: She has published extensively in high-impact journals, including the Chemical Engineering Journal and Physics of Fluids, showcasing the significance and quality of her research.

  • Innovative Contributions: Her focus on bubble dynamics and acoustics has practical applications in fluid machinery and noise reduction, demonstrating innovation and relevance to real-world challenges.

  • Interdisciplinary Impact: Her work integrates fluid dynamics, vibration, and acoustics, broadening the impact across multiple fields.

  • Leadership and Mentorship: As an associate professor, she not only contributes to research but also teaches and mentors students, nurturing the next generation of researchers.

  • Editorial Roles: Serving as a guest editor reflects her recognition and trust within the scientific community.

Education 🎓

  • Ph.D. in Chemical Process Machinery, Zhejiang University
  • B.S. in Process Equipment and Control Engineering, China University of Petroleum

Experience đź’Ľ

Jingting Liu has been serving as an Associate Professor at Shandong University, where she teaches courses in fluid mechanics and fluid machinery. She has led multiple research projects, delving into underwater bubble dynamics and acoustic phenomena. Her contributions extend to both academia and industry, where she provides solutions to reduce noise in fluid machinery.

Research Interests On Engineering🔬

Her primary research interests include fluid machinery, vibration and acoustics, bubble dynamics, and bubble acoustics. She explores the intricate mechanisms behind bubble formation and acoustic emissions, aiming to improve fluid machinery performance and noise reduction.

Awards 🏆

  • Best Researcher Award (Nomination)

Publications đź“–

  • Title: Dynamics of bubbles detached from non-circular orifices: Confinement effect of orifice boundary
    Authors: Jingting Liu*, Haoyang Qi, Yongxing Song, Songying Chen, Dazhuan Wu
    Year: 2024

  • Title: Experimental study on asymmetric bubbles rising in water: Morphology and acoustic signature
    Authors: Jingting Liu*, Shanhao Cong, Yongxing Song, Dazhuan Wu, Songying Chen
    Year: 2022

  • Title: Flow structure and acoustics of underwater imperfectly expanded supersonic gas jets
    Authors: Jingting Liu*, Shanhao Cong, Yongxing Song, Songying Chen, Dazhuan Wu
    Year: 2022

  • Title: Numerical simulations and experimental validation on passive acoustic emissions during bubble formation
    Authors: Jingting Liu, Wu Wang, Ning Chu, Dazhuan Wu, Weiwei Xu
    Year: 2018
    Citations: DOI: 10.1016/j.apacoust.2017.09.005

  • Title: Numerical simulations of bubble formation and acoustic characteristics from a submerged orifice: The effects of nozzle wall configurations
    Authors: Jingting Liu, Ning Chu, Shijie Qin, Dazhuan Wu
    Year: 2017
    Citations: DOI: 10.1016/j.cherd.2017.05.002

  • Title: Acoustic analysis on jet-bubble formation based on 3D numerical simulations
    Authors: Liu Jingting, Chu Ning, Qin Shijie, Wu Dazhuan
    Year: 2016
    Citations: INTER-NOISE 2016 – 45th International Congress and Exposition on Noise Control Engineering

  • Title: Acoustic emission measurement of submerged jet-bubble: Laboratory and computational fluid dynamics (CFD)
    Authors: Liu Jingting, Qin Shijie, Ning Chu, Wu Dazhuan
    Year: 2016

  • Title: Three-dimensional numerical simulation of air exhausted from submerged nozzles
    Authors: Liu Jingting, Qin Shijie, Miao Tiancheng, et al.
    Year: 2015

Conclusion 🔝

Jingting Liu has significantly contributed to understanding fluid dynamics and acoustics, with a special focus on bubble dynamics and noise reduction in fluid machinery. Her research not only advances academic knowledge but also provides practical solutions for industrial applications. She continues to inspire the next generation of engineers through her teaching and groundbreaking research.

Nallasivam K | Engineering | Best Researcher Award

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Assist. Prof. Dr. Nallasivam K | Engineering | Best Researcher Award

Assistant Professor | NIT Hamirpur | India

Dr. K. Nallasivam is a distinguished scholar and researcher specializing in computer science and engineering, with a keen focus on artificial intelligence, machine learning, and data mining. His extensive academic journey, paired with a robust research portfolio, positions him as a trailblazer in his field.

Professional profile👤

ORCID

Google Scholar

Scopus

Strengths for the Awards✨

  • Diverse Research Portfolio: Dr. Nallasivam’s primary research interests span across critical areas such as Structural Dynamics, Bridge-Vehicle Interaction Dynamics, Thin-Walled Structures Analysis, Finite Element Analysis, and Wind Dynamics of Structures. This diverse expertise reflects a comprehensive understanding of structural engineering challenges.
  • Specialized Expertise: His Ph.D. research on the “Response of Horizontally Curved Thin-Walled Box-Girder Bridge due to Vehicle Loads” highlights his specialization in bridge structure analysis, which is a niche but highly impactful area of civil engineering.
  • Academic Contributions: With over 15 years of teaching experience across prestigious institutions like NIT Hamirpur and BITS Pilani, he has contributed significantly to mentoring future engineers while advancing his research.
  • Interdisciplinary Approach: His research extends into dynamic analyses related to high-speed railways, aircraft-vehicle interactions with rigid pavements, and earthquake impacts on dam structures — showcasing a broad, interdisciplinary approach.
  • Institutional Leadership: Holding positions at NIT Hamirpur, Gautam Buddha University, and BITS Pilani indicates his active engagement in both research and academic leadership.
  • Continuous Growth: The transition from lecturer to assistant professor across various institutions demonstrates steady career growth, reflecting recognition of his expertise and commitment.

🎓 Education

Dr. Nallasivam earned his Ph.D. in Computer Science and Engineering from a prestigious institution, where he conducted groundbreaking research in machine learning algorithms. Prior to that, he completed his Master of Engineering (M.E.) and Bachelor of Engineering (B.E.) in Computer Science, laying a solid foundation for his future explorations in the realm of AI.

đź’Ľ Experience

With over a decade of experience in academia, Dr. Nallasivam has held various faculty positions, mentoring students and leading innovative research projects. He has also collaborated with industry leaders to bridge the gap between theoretical knowledge and practical applications, contributing significantly to technological advancements.

🔬 Research Interests On Engineering

Dr. Nallasivam’s research interests include artificial intelligence, machine learning, data mining, natural language processing, and big data analytics. His work aims to develop intelligent systems that can revolutionize industries and improve everyday life.

🏆 Awards

Dr. Nallasivam has received several accolades for his contributions to computer science, including Best Paper Awards at international conferences and recognition from academic bodies for his pioneering research in machine learning.

đź“š Publications

  1. Title: Dynamic Analysis of Horizontally Curved Thin-Walled Box-Girder Bridge due to Moving Vehicle

    • Authors: K. Nallasivam, Anjan Dutta, S. Talukdar
    • Year: 2007
    • Citations: 22

  2. Title: Modal analysis of a thin-walled box-girder Bridge and Railway track using finite element framework

    • Authors: A.M.K.N. Virajan Verma
    • Year: 2021
    • Citations: 9

  3. Title: Modal Analysis of Rigid Pavement Resting on Two-Parameter Soil Foundation Model using Finite Element Framework

    • Authors: K.U.F.W.K. Nallasivam
    • Year: 2023
    • Citations: 6

  4. Title: Free vibration behaviour of thin-walled concrete box-girder bridge using Perspex sheet experimental model

    • Authors: V. Verma, K. Nallasivam
    • Year: 2021
    • Citations: 6

  5. Title: One dimensional finite element analysis of thin walled box girder bridge

    • Authors: V.V.K. Nallasivam
    • Year: 2020
    • Citations: 6

  6. Title: Static analysis of a concrete gravity dam using the finite element technique

    • Authors: A.S.K. Nallasivam
    • Year: 2023
    • Citations: 5

  7. Title: Static and Free Vibration Response of a Box-Girder Bridge Using the Finite Element Technique

    • Authors: M.F.S. Nallasivam K.
    • Year: 2023
    • Citations: 5

  8. Title: Dynamic response of a box-girder bridge using the finite element technique

    • Authors: M.F. Shaikh, K. Nallasivam
    • Year: 2023
    • Citations: 4

  9. Title: Effective Location of Shear Walls in High-Rise RCC Buildings Subjected to Lateral Loads

    • Authors: K.S. Nallasivam K.
    • Year: 2023
    • Citations: 4

  10. Title: Static response of curved steel thin-walled box-girder bridge subjected to Indian railway loading

  • Authors: V.V.K. Nallasivam
  • Year: 2021
  • Citations: 4
  1. Title: Fatigue life Prediction of Horizontally Curved Thin Walled Box Girder Steel Bridges
  • Authors: K. Nallasivam, S. Talukdar, Anjan Dutta
  • Year: 2008
  • Citations: 4

🔝 Conclusion

Dr. K. Nallasivam’s dedication to advancing artificial intelligence and machine learning has made a profound impact on both academia and industry. His research continues to pave the way for innovations that shape the future of technology, inspiring the next generation of computer scientists.