Shijie Zhao | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Shijie Zhao | Applied Mathematics | Best Researcher Award

Associate Professor at Liaoning Technical University, China

Assoc. Prof. Dr. Shijie Zhao is a distinguished researcher and academic at the Institute of Intelligence Science and Optimization, Liaoning Technical University, China. With a Ph.D. in Optimization and Management Decisions, his expertise lies in metaheuristic optimization, multi-objective optimization, and underwater navigation and positioning. He has made significant contributions through innovative algorithm designs and novel mathematical models, particularly in high-dimensional feature selection and robust navigation techniques. Dr. Zhao has published 9 SCI-indexed journal articles and participated in over 10 nationally and provincially funded research projects. He serves as a reviewer for leading journals including those by Elsevier, Springer, and IEEE, and holds memberships in 13 professional bodies. With strong programming skills, rigorous analytical thinking, and a commitment to scientific innovation, Dr. Zhao has also earned four research awards. His work bridges theoretical mathematics and practical applications, making him a valuable contributor to the global research community in intelligent systems and optimization.

Professional Profile 

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Education

Assoc. Prof. Dr. Shijie Zhao has a robust academic foundation anchored at Liaoning Technical University, China. He earned his B.S. degree in Science of Information & Computation in 2012, followed by a successive postgraduate and doctoral program in Mathematics and Applied Mathematics from 2012 to 2014. He went on to complete his Ph.D. in Optimization and Management Decisions in 2018. His educational trajectory highlights a deep commitment to the field of mathematical optimization and intelligent systems. Dr. Zhao’s academic excellence is also reflected in his ability to integrate theoretical knowledge with practical problem-solving, laying a strong foundation for his future research. His interdisciplinary approach blends pure mathematics with applied optimization techniques, making him uniquely positioned to contribute to emerging challenges in computational intelligence, machine learning, and navigation systems. His comprehensive training has equipped him with skills in advanced mathematical modeling, algorithm design, and statistical analysis—all crucial for his research trajectory.

Professional Experience

Dr. Shijie Zhao began his professional journey as a faculty member at Liaoning Technical University, where he is now serving as an Associate Professor and Director of the Institute of Intelligence Science and Optimization. Since 2012, he has progressed through a series of academic roles, including a postdoctoral tenure beginning in 2020. He has successfully led and participated in a range of scientific research projects sponsored by institutions such as the China Postdoctoral Science Foundation and the Department of Science & Technology of Liaoning Province. In addition to his teaching responsibilities, he has been actively involved in administrative, academic, and research leadership roles. Dr. Zhao has served as a reviewer for numerous high-impact international journals and conferences and has editorial roles in reputed scientific publications. His contributions to collaborative and interdisciplinary projects underscore his ability to bridge research and real-world applications, enhancing his standing as a key contributor in intelligent systems research.

Research Interest

Assoc. Prof. Dr. Shijie Zhao’s research interests lie at the intersection of intelligent optimization, computational mathematics, and advanced data analytics. He specializes in the development and enhancement of metaheuristic and multi-objective optimization algorithms, addressing both theoretical and application-driven challenges. His work has pioneered novel strategies for high-dimensional feature selection and optimization in machine learning contexts. Another key area of his focus is underwater navigation and positioning, where he has introduced innovative models for enhancing gravity navigation accuracy. With a strong foundation in mathematics, Dr. Zhao combines theoretical rigor with practical applicability, ensuring that his research contributes both to academic knowledge and technological development. His recent work explores how optimization strategies can be integrated into real-time systems, with implications in robotics, autonomous navigation, and engineering design. By addressing complex computational problems, Dr. Zhao’s research plays a vital role in driving forward the capabilities of intelligent systems and adaptive algorithms.

Award and Honor

Dr. Shijie Zhao has earned multiple accolades in recognition of his impactful contributions to scientific research and innovation. He has received four prestigious research awards for his work in intelligent systems, mathematical optimization, and applied computational modeling. His leadership in various national and provincial research initiatives has further cemented his reputation as a top-tier researcher in his domain. In addition to these honors, he has held editorial and reviewer positions for over ten internationally recognized journals, including publications by IEEE, Springer, and Elsevier—an acknowledgment of his expertise and academic integrity. Dr. Zhao is also an active member of 13 professional bodies, reflecting his global engagement and scholarly influence. His participation in high-impact collaborative projects and his growing citation index underscore the recognition and respect he commands in the research community. These honors validate his innovative spirit and unwavering dedication to advancing knowledge in mathematics and intelligent computing.

Conclusion

In conclusion, Assoc. Prof. Dr. Shijie Zhao exemplifies excellence in mathematical research, optimization theory, and intelligent system applications. His educational background, combined with over a decade of professional experience, positions him as a thought leader in his field. Through pioneering contributions to metaheuristic algorithms, multi-objective optimization, and underwater navigation, he bridges the gap between theoretical frameworks and practical technologies. His commitment to research integrity, academic service, and innovation has earned him widespread recognition and professional accolades. As an educator, leader, and scientist, Dr. Zhao’s multifaceted contributions reflect a deep dedication to advancing scientific knowledge and solving complex global challenges. His future endeavors are poised to have even greater impacts on the fields of artificial intelligence, data-driven decision-making, and intelligent navigation. With a strong publication record, a solid foundation in mathematics, and an expanding research network, Dr. Zhao continues to be a prominent and influential figure in the global academic landscape.

Publications Top Notes

  • Title: ID2TM: A Novel Iterative Double-Cross Domain-Center Transfer-Matching Method for Underwater Gravity-Aided Navigation
    Authors: Shijie Zhao, Zhiyuan Dou, Huizhong Zhu, Wei Zheng, Yifan Shen
    Year: 2025
    Source: IEEE Internet of Things Journal

  • Title: OS-BiTP: Objective sorting-informed bidomain-information transfer prediction for dynamic multiobjective optimization
    Authors: Shijie Zhao, Tianran Zhang, Lei Zhang, Jinling Song
    Year: 2025
    Source: Swarm and Evolutionary Computation

  • Title: Mirage search optimization: Application to path planning and engineering design problems
    Authors: Jiahao He, Shijie Zhao, Jiayi Ding, Yiming Wang
    Year: 2025
    Source: Advances in Engineering Software

  • Title: Twin-population Multiple Knowledge-guided Transfer Prediction Framework for Evolutionary Dynamic Multi-Objective Optimization
    Authors: Shijie Zhao, Tianran Zhang, Miao Chen, Lei Zhang
    Year: 2025
    Source: Applied Soft Computing

  • Title: VC-TpMO: V-dominance and staged dynamic collaboration mechanism based on two-population for multi- and many-objective optimization algorithm
    Authors: Shijie Zhao, Shilin Ma, Tianran Zhang, Miao Chen
    Year: 2025
    Source: Expert Systems with Applications

  • Title: A Novel Cross-Line Adaptive Domain Matching Algorithm for Underwater Gravity Aided Navigation
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2024
    Source: IEEE Geoscience and Remote Sensing Letters

  • Title: Triangulation topology aggregation optimizer: A novel mathematics-based meta-heuristic algorithm for continuous optimization and engineering applications
    Authors: Shijie Zhao, Tianran Zhang, Liang Cai, Ronghua Yang
    Year: 2024
    Source: Expert Systems with Applications

  • Title: Improving Matching Efficiency and Out-of-Domain Positioning Reliability of Underwater Gravity Matching Navigation Based on a Novel Domain-Center Adaptive-Transfer Matching Method
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2023
    Source: IEEE Transactions on Instrumentation and Measurement

  • Title: A dynamic support ratio of selected feature-based information for feature selection
    Authors: Shijie Zhao, Mengchen Wang, Shilin Ma, Qianqian Cui
    Year: 2023
    Source: Engineering Applications of Artificial Intelligence

  • Title: Sea-horse optimizer: a novel nature-inspired meta-heuristic for global optimization problems
    Authors: Shijie Zhao, Tianran Zhang, Shilin Ma, Mengchen Wang
    Year: 2023
    Source: Applied Intelligence

  • Title: Improving the Out-of-Domain Matching Reliability and Positioning Accuracy of Underwater Gravity Matching Navigation Based on a Novel Cyclic Boundary Semisquare-Domain Researching Method
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2023
    Source: IEEE Sensors Journal

  • Title: A feature selection method via relevant-redundant weight
    Authors: Shijie Zhao, Mengchen Wang, Shilin Ma, Qianqian Cui
    Year: 2022
    Source: Expert Systems with Applications

  • Title: Dandelion Optimizer: A nature-inspired metaheuristic algorithm for engineering applications
    Authors: Shijie Zhao, Tianran Zhang, Shilin Ma, Miao Chen
    Year: 2022
    Source: Engineering Applications of Artificial Intelligence

  • Title: Improving Matching Efficiency and Out-of-domain Reliability of Underwater Gravity Matching Navigation Based on a Novel Soft-margin Local Semicircular-domain Re-searching Model
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2022
    Source: Remote Sensing

  • Title: Improving Matching Accuracy of Underwater Gravity Matching Navigation Based on Iterative Optimal Annulus Point Method with a Novel Grid Topology
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Aigong Xu, Huizhong Zhu
    Year: 2021
    Source: Remote Sensing

  • Title: A Novel Quantum Entanglement‐Inspired Meta‐heuristic Framework for Solving Multimodal Optimization Problems
    Authors: Shijie Zhao
    Year: 2021
    Source: Chinese Journal of Electronics

  • Title: A Novel Modified Tree‐Seed Algorithm for High‐Dimensional Optimization Problems
    Authors: Shijie Zhao
    Year: 2020
    Source: Chinese Journal of Electronics

 

Daniel Condurache | Mathematical Engineering | Outstanding Contribution Award

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Prof. Daniel Condurache | Mathematical Engineering | Outstanding Contribution Award

Professor at Technical University of Iasi, Romania

Prof. Daniel Condurache is a distinguished researcher and academic leader specializing in theoretical mechanics, robotics, orbital mechanics, and mathematical modeling. A Professor and PhD Supervisor at Gheorghe Asachi Technical University of Iași, he has held key leadership positions, including Vice-Rector and Head of Department. He is a Corresponding Member of the Romanian Academy and a Senior Member of IEEE, AIAA, AMS, ASME, and AAS, reflecting his international recognition. With over 100 research articles published in prestigious journals, his work spans integral transformations, Lie algebra, and spaceflight mechanics, earning him H-index scores of 12-18 across research databases. He also serves as an editor and reviewer for multiple scientific journals. His contributions to mechanical engineering, mechatronics, and robotics have shaped both academic and industrial research. While already a leading figure, increased international collaborations and industry applications could further enhance his impact. He is an outstanding candidate for the Best Researcher Award.

Professional Profile

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Education

Prof. Daniel Condurache holds a Ph.D. in Mechanical Engineering (Magna Cum Laude) from Gheorghe Asachi Technical University of Iași, Romania. He also earned an Engineering degree from the Polytechnic Institute of Iași, Faculty of Electronics and Telecommunications. Additionally, he pursued studies in Mathematics at Alexandru Ioan Cuza University of Iași, Romania, further enhancing his analytical skills. His strong academic foundation in mechanical engineering, robotics, and applied mathematics has significantly contributed to his expertise in kinematics, dynamics, and theoretical mechanics. Over the years, he has continued his research in advanced mathematical modeling, integral transformations, and Lie algebra applications in mechanics. His interdisciplinary education has allowed him to bridge gaps between engineering, physics, and mathematics, leading to groundbreaking contributions in robotics, orbital mechanics, and rigid body dynamics. His academic journey reflects a commitment to continuous learning and innovation in theoretical and applied mechanics.

Professional Experience

Prof. Condurache has had a distinguished academic career spanning over four decades at Gheorghe Asachi Technical University of Iași. He has held multiple leadership positions, including Vice-Rector, Head of the Department of Theoretical Mechanics, and Professor. His teaching portfolio includes Theoretical Mechanics, Modeling and Simulation of Mechanical Systems, and Mathematical Foundations of Robotics. Beyond academia, he has contributed as a Ph.D. supervisor in mechanical engineering, mentoring the next generation of researchers. He has also played a vital role in Romania’s academic and research policies as a member of CNATDCU (Mechanical Engineering, Mechatronics, and Robotics) and CCCDI (Ministry of Research, Innovation, and Digitalization). Additionally, he has served as an editor for academic journals and conference proceedings, reinforcing his influence in the field. His extensive experience across teaching, research, and administration highlights his dedication to advancing both academia and engineering innovation.

Research Interests

Prof. Condurache’s research focuses on higher-order kinematics, rigid body dynamics, orbital mechanics, robotics, and Lie algebra applications in engineering. His work integrates mathematics, physics, and engineering principles to develop innovative models for spacecraft dynamics, robotic manipulators, and multibody systems. He specializes in algebraic and geometric methods in dynamical systems, astrodynamics, dual quaternions, integral transformations, and wavelet analysis. His contributions to rigid body motion parameterization using dual tensors and Cayley transforms have been widely recognized in the academic community. His recent publications explore higher-order kinematics of multibody systems and gravitational interactions in non-inertial reference frames, with applications in celestial mechanics, robotics, and spaceflight mechanics. His interdisciplinary research has significantly advanced the understanding of complex mechanical systems and influenced fields such as aerospace engineering, automation, and computational kinematics.

Awards and Honors

Prof. Condurache’s achievements have earned him numerous accolades, including his election as a Corresponding Member of the Romanian Academy and the Academy of Technical Sciences in Romania. He is a Senior Member of IEEE, AIAA (American Institute of Aeronautics and Astronautics), ASME (American Society of Mechanical Engineers), and AMS (American Mathematical Society), demonstrating his global recognition in the scientific community. He is also a founding member of the Romanian Society of Theoretical and Applied Mechanics and has received multiple awards for his research contributions in mechanical engineering and robotics. His extensive publication record, with over 100 research papers in ISI-indexed journals, and an H-index reflecting significant citations, underscores his influence in the field. His impact extends beyond Romania, with collaborations in international research projects and editorial roles in prestigious scientific journals.

Conclusion

Prof. Daniel Condurache is a highly accomplished researcher, educator, and academic leader with an extensive career in mechanical engineering, robotics, and theoretical mechanics. His contributions to kinematics, multibody systems, and rigid body dynamics have significantly influenced both academic research and industrial applications. As a respected professor and Ph.D. supervisor, he has mentored numerous scholars, shaping the future of mechanical engineering and robotics. His global recognition through memberships in prestigious organizations and editorial contributions reflects his commitment to advancing scientific knowledge. With over four decades of experience, multiple leadership roles, and groundbreaking research, Prof. Condurache stands as a leading figure in modern engineering and applied mathematics. His work continues to push the boundaries of kinematic modeling, spaceflight mechanics, and robotic control, ensuring his lasting impact on both theoretical and applied sciences.

Publications Top Noted

  1. Title: Orthogonal Dual Tensor Method for Solving the AX=XB Sensor Calibration Problem

    • Authors: D. Condurache, A. Burlacu

    • Year: 2016

    • Citations: 107

    • Source: Mechanism and Machine Theory, Vol. 104, pp. 382-404

  2. Title: Dual Tensors-Based Solutions for Rigid Body Motion Parameterization

    • Authors: D. Condurache, A. Burlacu

    • Year: 2014

    • Citations: 74

    • Source: Mechanism and Machine Theory, Vol. 74, pp. 390-412

  3. Title: Relative Spacecraft Motion in a Central Force Field

    • Authors: D. Condurache, V. Martinuşi

    • Year: 2007

    • Citations: 48

    • Source: Journal of Guidance, Control, and Dynamics, Vol. 30 (3), pp. 873-876

  4. Title: Resistivity and Curie Point of Li‐Zn Ferrites

    • Authors: N. Rezlescu, D. Condurache, P. Petrariu, E. Luca

    • Year: 1974

    • Citations: 47

    • Source: Journal of the American Ceramic Society, Vol. 57 (1), pp. 40-40

  5. Title: Foucault Pendulum-Like Problems: A Tensorial Approach

    • Authors: D. Condurache, V. Martinuşi

    • Year: 2008

    • Citations: 45

    • Source: International Journal of Non-Linear Mechanics, Vol. 43 (8), pp. 743-760

  6. Title: Left Atrial Structure and Function are Associated with Cardiovascular Outcomes Independent of Left Ventricular Measures: A UK Biobank CMR Study

    • Authors: Z. Raisi-Estabragh, C. McCracken, D. Condurache, N. Aung, J.D. Vargas, et al.

    • Year: 2022

    • Citations: 41

    • Source: European Heart Journal – Cardiovascular Imaging, Vol. 23 (9), pp. 1191-1200

  7. Title: A Minimal Parameterization of Rigid Body Displacement and Motion Using a Higher-Order Cayley Map by Dual Quaternions

    • Authors: D. Condurache, I. Popa

    • Year: 2023

    • Citations: 2

    • Source: Symmetry, Vol. 15 (11), 2011

  8. Title: An Analysis of Higher-Order Kinematics Formalisms for an Innovative Surgical Parallel Robot

    • Authors: C. Vaida, I. Birlescu, B. Gherman, D. Condurache, D. Chablat, D. Pisla

    • Year: 2025

    • Citations: [Not available]

    • Source: Mechanism and Machine Theory, Vol. 209, 105986

  9. Title: An Overview of Higher-Order Kinematics of Rigid Body and Multibody Systems with Nilpotent Algebra

    • Authors: D. Condurache

    • Year: 2025

    • Citations: [Not available]

    • Source: Mechanism and Machine Theory, Vol. 209, 105959

  10. Title: About a Classical Gravitational Interaction in a General Non-Inertial Reference Frame: Applications on Celestial Mechanics and Astrodynamics

    • Authors: D. Condurache, M. Cojocari, I. Popa

    • Year: 2025

    • Citations: [Not available]

    • Source: Symmetry, Vol. 17 (3), 368

  11. Title: A Closed Form of Higher-Order Cayley Transforms and Generalized Rodrigues Vectors Parameterization of Rigid Motion

    • Authors: D. Condurache, M. Cojocari, I.A. Ciureanu

    • Year: 2024

    • Citations: [Not available]

    • Source: Mathematics, Vol. 13 (1), 114

  1. Title: Dual Lie Algebra Representations of the Rigid Body Motion

    • Authors: D. Condurache, A. Burlacu

    • Year: 2014

    • Citations: 35

    • Source: AIAA/AAS Astrodynamics Specialist Conference, 4347

  1. Title: Advances in Robot Kinematics

    • Authors: J. Lenarcic, C. Galletti

    • Year: 2004

    • Citations: 39

    • Source: Kluwer Academic

 

 

Ghanmi Abdeljabbar | Fractional calculus | Mathematical Engineering Excellence Award

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Prof. Ghanmi Abdeljabbar | Fractional calculus | Mathematical Engineering Excellence Award

Professor in Mathematics at Tunis El Manar University, Tunisia

Dr. Abdeljabbar Ghanmi is an accomplished mathematician specializing in differential equations, fractional calculus, variational methods, and mathematical analysis. Currently an Associate Professor at the University of Jeddah, Saudi Arabia, he has an extensive academic and research background, having previously held positions in Tunisia. His research focuses on partial differential equations, dynamical systems, nonlinear systems, and optimization, with numerous publications in high-impact journals. Dr. Ghanmi collaborates with renowned mathematicians such as Prof. Vicentiu Radulescu and Prof. Dušan D. Repovš, reflecting his global research engagement. He has supervised multiple doctoral and master’s students, contributing significantly to mathematical education. His work has gained substantial recognition, evidenced by citations and active participation in international awards. In addition to his research, he serves as a reviewer for scientific journals. Dr. Ghanmi’s contributions to mathematical sciences, mentorship, and interdisciplinary collaborations position him as a distinguished researcher in his field.

Professional Profile 

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Education

Dr. Abdeljabbar Ghanmi holds a strong academic background in mathematics, having earned his Ph.D. in Applied Mathematics from a prestigious institution. His doctoral research focused on differential equations, variational methods, and mathematical analysis, laying the foundation for his expertise in nonlinear systems and dynamical models. Prior to his Ph.D., he obtained a Master’s degree in Mathematical Sciences, where he explored advanced topics in functional analysis and optimization. His undergraduate studies provided a rigorous foundation in pure and applied mathematics, enabling him to develop a deep understanding of fundamental mathematical principles. Throughout his academic journey, Dr. Ghanmi has demonstrated exceptional analytical skills, excelling in complex problem-solving and mathematical modeling. His educational achievements reflect his commitment to advancing mathematical research, and his interdisciplinary approach bridges theoretical mathematics with real-world applications. His academic credentials have prepared him for a distinguished career in research and education, fostering innovation in mathematical sciences.

Professional Experience

Dr. Abdeljabbar Ghanmi is an Associate Professor at the University of Jeddah, Saudi Arabia, where he actively engages in teaching, research, and academic mentorship. Before joining the University of Jeddah, he held academic positions in Tunisia, contributing to the development of mathematics education and research. With years of experience in higher education, he has taught advanced courses in differential equations, mathematical analysis, and optimization, shaping the next generation of mathematicians. His role extends beyond teaching, as he supervises Ph.D. and master’s students, guiding them in their research endeavors. Dr. Ghanmi is a dedicated researcher, collaborating with international experts in mathematics to produce high-quality publications in peer-reviewed journals. Additionally, he serves as a reviewer for prestigious scientific journals, ensuring the integrity and advancement of mathematical research. His professional experience highlights his commitment to both education and the expansion of mathematical knowledge through innovative research and scholarly contributions.

Research Interest

Dr. Abdeljabbar Ghanmi’s research interests span a wide range of mathematical disciplines, with a particular focus on differential equations, fractional calculus, variational methods, and nonlinear dynamical systems. His work explores the theoretical and applied aspects of mathematical analysis, contributing to the advancement of knowledge in functional spaces, optimization techniques, and stability theory. His research integrates classical and modern mathematical approaches to solve complex problems in engineering, physics, and applied sciences. Dr. Ghanmi actively collaborates with leading mathematicians such as Prof. Vicentiu Radulescu and Prof. Dušan D. Repovš, engaging in interdisciplinary research that bridges pure mathematics with practical applications. His studies on fractional differential equations and dynamical systems have significant implications in modeling real-world phenomena. His dedication to research is evident through his numerous high-impact publications, award presentations, and involvement in peer-reviewing processes, ensuring the continuous evolution of mathematical sciences.

Awards and Honors

Dr. Abdeljabbar Ghanmi has received multiple recognitions for his outstanding contributions to mathematics. His research has been acknowledged through various academic and research awards, reflecting his impact on mathematical sciences. He has been invited to speak at international awards, demonstrating the significance of his contributions to the global mathematical community. His work has garnered significant citations, highlighting its influence on contemporary mathematical research. In addition to his scholarly achievements, Dr. Ghanmi has received recognition from esteemed institutions for his dedication to mentoring students and advancing mathematical education. His collaborations with leading researchers and his active participation in editorial and reviewing committees further underscore his reputation as a distinguished mathematician. These accolades reflect his unwavering commitment to excellence in research, education, and the broader mathematical community, solidifying his position as a respected figure in the field of applied mathematics.

Conclusion

Dr. Abdeljabbar Ghanmi is a highly respected mathematician whose expertise in differential equations, fractional calculus, and mathematical analysis has significantly contributed to the advancement of mathematical sciences. As an Associate Professor at the University of Jeddah, he has played a crucial role in shaping the academic and research landscape through his mentorship, teaching, and scholarly work. His research collaborations with leading mathematicians and his extensive publication record underscore his dedication to expanding mathematical knowledge. Through his contributions to mathematical education and his commitment to interdisciplinary research, Dr. Ghanmi has made a lasting impact on the field. His numerous awards and recognitions attest to the quality and significance of his work. With a career dedicated to both theoretical and applied mathematics, Dr. Ghanmi continues to be an influential figure, fostering innovation and excellence in research and education. His contributions have left an indelible mark on the global mathematical community.

Publications Top Noted

Fractional Calculus and Thermal Analysis
  • An analytical study on the fractional transient heating within the skin tissue during the thermal therapy
    • Authors: A. Ghanmi, I.A. Abbas
    • Year: 2019
    • Citations: 114
    • Source: Journal of Thermal Biology 82, 229-233
Fractional and p-Laplacian Problems

  • A multiplicity results for a singular problem involving the fractional p-Laplacian operator

    • Authors: A. Ghanmi, K. Saoudi
    • Year: 2016
    • Citations: 68
    • Source: Complex Variables and Elliptic Equations 61 (9), 1199-1216

  • A multiplicity results for a singular equation involving the p(x)-Laplace operator

    • Authors: K. Saoudi, A. Ghanmi
    • Year: 2017
    • Citations: 65
    • Source: Complex Variables and Elliptic Equations 62 (5), 695-725

  • The Nehari manifold for a singular elliptic equation involving the fractional Laplace operator

    • Authors: A.G.K. Saoudi
    • Year: 2016
    • Citations: 63
    • Source: Fractional Differential Calculus 6 (2), 201-217
Boundary Value Problems and Riemann–Liouville Derivative
  • The Nehari manifold for a boundary value problem involving Riemann–Liouville fractional derivative
    • Authors: K. Saoudi, P. Agarwal, P. Kumam, A. Ghanmi, P. Thounthong
    • Year: 2018
    • Citations: 47
    • Source: Advances in Difference Equations 2018, 1-18
Nonlinear Schrödinger Equations
  • Large and bounded solutions for a class of nonlinear Schrödinger stationary systems
    • Authors: V.R.N.Z. Abdeljabbar Ghanmi, Habib Maagli
    • Year: 2009
    • Citations: 41
    • Source: Analysis and Application 7 (4), 391-404
Kirchhoff-type and Singular Equations

  • Minimax method involving singular p(x)-Kirchhoff equation

    • Authors: K. Ben Ali, A. Ghanmi, K. Kefi
    • Year: 2017
    • Citations: 39
    • Source: Journal of Mathematical Physics 58 (11)

  • Nontrivial solutions for Kirchhoff-type problems involving the -Laplace operator

    • Authors: A. Ghanmi
    • Year: 2018
    • Citations: 21
    • Source: –
Singular and Indefinite Weight Problems

  • Existence of solution for a singular fractional Laplacian problem with variable exponents and indefinite weights

    • Authors: R. Chammem, A. Ghanmi, A. Sahbani
    • Year: 2021
    • Citations: 28
    • Source: Complex Variables and Elliptic Equations 66 (8), 1320-1332

  • On the Steklov problem involving the p(x)-Laplacian with indefinite weight

    • Authors: K.B. Ali, A. Ghanmi, K. Kefi
    • Year: 2017
    • Citations: 24
    • Source: Opuscula Mathematica 37 (6), 779-794
Existence and Multiplicity of Solutions in Fractional Differential Equations

  • Existence of solutions for fractional differential equations with Dirichlet boundary conditions

    • Authors: K.B. Ali, A. Ghanmi, K. Kefi
    • Year: 2016
    • Citations: 25
    • Source: Electronic Journal of Differential Equations 116, 1-11

  • Existence of positive solutions for a coupled system of nonlinear fractional differential equations

    • Authors: A. Ghanmi, S. Horrigue
    • Year: 2019
    • Citations: 23
    • Source: Ukrainian Mathematical Journal 71, 39-49

  • Existence of positive bounded solutions for some nonlinear elliptic systems

    • Authors: N.Z. A. Ghanmi, H. Mâagli, S. Turki
    • Year: 2009
    • Citations: 23
    • Source: Journal of Mathematical Analysis and Applications 352, 440-448
Nehari Manifold and Fractional Boundary Value Problems

  • Nehari manifold and multiplicity results for a class of fractional boundary value problems with p-Laplacian

    • Authors: A. Ghanmi, Z. Zhang
    • Year: 2019
    • Citations: 22
    • Source: Bulletin of the Korean Mathematical Society 56 (5), 1297-1314

  • Multiplicity of Nontrivial Solutions of a Class of Fractional p-Laplacian Problem

    • Authors: A. Ghanmi
    • Year: 2015
    • Citations: 20
    • Source: Zeitschrift für Analysis und ihre Anwendungen (Journal of Analysis and its Applications)

  • A multiplicity results for a singular problem involving a Riemann-Liouville fractional derivative

    • Authors: A. Ghanmi, M. Kratou, K. Saoudi
    • Year: 2018
    • Citations: 19
    • Source: Filomat 32 (2), 653-669
Styklov Problems and Fractional Analysis

  • Existence and multiplicity of solutions for some Styklov problem involving p(x)-Laplacian operator

    • Authors: R. Chammem, A. Ghanmi, A. Sahbani
    • Year: 2022
    • Citations: 17
    • Source: Applicable Analysis 101 (7), 2401-2417

  • Existence result and uniqueness for some fractional problem

    • Authors: G. Wang, A. Ghanmi, S. Horrigue, S. Madian
    • Year: 2019
    • Citations: 16
    • Source: Mathematics 7 (6), 516

  • Existence Results for Nonlinear Boundary Value Problems

    • Authors: A. Ghanmi, S. Horrigue
    • Year: 2018
    • Citations: 15
    • Source: Filomat 32 (2), 609-618

 

Aleksandar Senić | Mathematical Engineering | Best Researcher Award | 2039

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Mr. Aleksandar Senić | Mathematical Engineering | Best Researcher Award

Assistant Lecturer at Faculty of Civil Engineering, Belgrade, Serbia

Aleksandar Senić is a researcher and expert in risk management for infrastructure projects, specializing in the application of fuzzy logic and machine learning to predict delays and cost overruns. As an Assistant Lecturer at the Faculty of Civil Engineering, University of Belgrade, he actively contributes to research on risk assessment and decision-making optimization. He has authored eight journal papers in indexed databases and a book on infrastructure project management. With over 30 industry projects, he plays a key role in translating research into practical solutions. As Director of the Construction Management Sector at Koridori Srbije, he oversees infrastructure projects worth €5 billion, ensuring efficient execution and risk mitigation. His work on hybrid risk assessment models and clustering risk factors has improved project planning and preventive strategies. Through collaborations with leading researchers, his contributions have gained international recognition, influencing best practices in construction risk management and decision-making in large-scale projects.

Professional Profile

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Education

Aleksandar Senić holds a strong academic background in civil engineering and risk management. He earned his Bachelor’s and Master’s degrees from the Faculty of Civil Engineering, University of Belgrade, specializing in construction management and infrastructure project risk assessment. His postgraduate research focused on applying fuzzy logic and machine learning techniques to predict delays and cost overruns in large-scale infrastructure projects. He pursued a Ph.D. in Civil Engineering, further advancing his expertise in hybrid risk assessment models integrating artificial intelligence and expert systems for optimizing decision-making in construction. Throughout his academic journey, he actively collaborated with leading researchers, contributing to cutting-edge methodologies in risk quantification and mitigation. His educational foundation, combined with extensive industry exposure, enables him to bridge the gap between theoretical research and practical application, making significant advancements in infrastructure project management. His academic credentials and research output have positioned him as a key contributor to the field of risk management in civil engineering.

Professional Experience

Aleksandar Senić is an Assistant Lecturer at the Faculty of Civil Engineering, University of Belgrade, and a leading expert in risk management for infrastructure projects. With extensive experience in applying fuzzy logic and machine learning, he specializes in predicting delays and cost overruns in large-scale road construction. As the Director of the Construction Management Sector at Koridori Srbije, he oversees the execution of €5 billion infrastructure projects, ensuring efficient delivery and risk mitigation. His expertise extends to industry consultancy, having contributed to over 30 projects focused on risk assessment and preventive strategies. He has authored a book on infrastructure project management and published 8 journal papers in indexed databases. His research, widely cited internationally, integrates hybrid risk assessment models to optimize decision-making. A member of the Serbian Chamber of Engineers, he actively collaborates with leading researchers, advancing best practices in construction risk management and preventive methodologies.

Research Interest

Aleksandar Senić’s research interests focus on advancing risk management methodologies in infrastructure projects through the integration of machine learning, fuzzy logic, and expert-driven models. His work aims to enhance predictive analytics for cost overruns and time extensions in road construction, enabling more efficient project planning and execution. He specializes in hybrid risk assessment models, combining statistical techniques with artificial intelligence to improve decision-making in large-scale infrastructure development. Additionally, his research explores preventive measures in project management, optimizing risk quantification frameworks to minimize uncertainties and enhance project resilience. His contributions also extend to construction project complexity analysis, where he clusters risk factors to prioritize interventions, reducing budget deviations and schedule delays. Through collaborations with leading researchers and industry professionals, he strives to develop innovative strategies for risk mitigation, ensuring sustainable and cost-effective infrastructure development while bridging the gap between academic research and practical engineering applications.

Award and Honor

Aleksandar Senić is a distinguished researcher and industry expert in risk management for infrastructure projects, recognized for his significant contributions to the field of construction engineering. As an Assistant Lecturer at the Faculty of Civil Engineering, University of Belgrade, and Director of the Construction Management Sector at Koridori Srbije, he has played a pivotal role in advancing methodologies for risk assessment, predictive modeling, and decision-making optimization. His research integrates machine learning, fuzzy logic, and expert surveys to enhance risk evaluation, leading to improved efficiency in large-scale infrastructure projects. With numerous publications in high-impact journals, his work has gained international recognition, influencing best practices in risk mitigation. His leadership in managing projects worth €5 billion underscores his practical expertise. Through active collaboration with leading researchers and contributions to industry projects, he continues to shape the future of infrastructure risk management, making him a deserving candidate for prestigious academic and professional honors.

Conclusion

Aleksandar Senić is a distinguished researcher in risk management for infrastructure projects, combining academic expertise with extensive industry experience. His contributions to integrating machine learning and fuzzy logic into risk assessment models have significantly advanced methodologies for predicting delays and cost overruns in large-scale construction projects. As a lecturer at the University of Belgrade and Director at Koridori Srbije, he bridges the gap between research and real-world applications, overseeing infrastructure projects worth €5 billion. With eight journal publications, a book, and collaborations with esteemed researchers, his work has gained international recognition. While his citation index and h-index indicate a growing impact, further engagement in high-impact research, patents, and editorial roles could enhance his profile. His expertise, leadership, and commitment to innovation in construction risk management make him a strong candidate for the Best Researcher Award, reflecting both his scholarly excellence and his contributions to improving infrastructure project outcomes.

Publications Top Noted

  • Prioritization of Preventive Measures: A Multi-Criteria Approach to Risk Mitigation in Road Infrastructure Projects
    • Authors: Aleksandar Senić, Marija Ivanović, Momčilo Dobrodolac, Zoran Stojadinović
    • Year: 2025
  • A Comprehensive Analysis of Road Crashes at Characteristic Infrastructural Locations: Integrating Data, Expert Assessments, and Artificial Intelligence
    • Authors: T. Ivanišević, M. Vujanić, A. Senić, A. Trifunović, S. Čičević
    • Year: 2024
  • Predicting Extension of Time and Increasing Contract Price in Road Infrastructure Projects Using a Sugeno Fuzzy Logic Model
    • Authors: Aleksandar Senić, Momčilo Dobrodolac, Zoran Stojadinović
    • Year: 2024
  • Development of Risk Quantification Models in Road Infrastructure Projects
    • Authors: Aleksandar Senić, Momčilo Dobrodolac, Zoran Stojadinović
    • Year: 2024
  • Evaluating the Road Environment Through the Lens of Professional Drivers: A Traffic Safety Perspective
    • Authors: Aleksandar Senić
    • Year: 2024
  • Early Highway Construction Cost Estimation: Selection of Key Cost Drivers
    • Authors: N. Simić, N. Ivanišević, Ð. Nedeljković, A. Senić, Z. Stojadinović, M. Ivanović
    • Year: 2023
  • Assessment of Concrete Compressive Strength Using Different Maturity Functions: Case Study
    • Authors: Dragan Bojović, Nevena Bašić, Ksenija Janković, Aleksandar Senić
    • Year: 2018
  • Determination of the In Situ Coefficient of Friction and Imperfection of Prestressing Cables
    • Authors: Dragan Bojović, Bojan Aranđelović, Ksenija Janković, Aleksandar Senić, Marko Stojanović
    • Year: 2017
  • Značaj Arhitektonskog Koncepta za Rentabilnost Projekata
    • Authors: Aleksandar Senić
    • Year: 2014