Seyed Mehdi Tavakkoli | Optimization | Best Researcher Award

Assoc. Prof. Dr. Seyed Mehdi Tavakkoli | Optimization | Best Researcher Award

Associate Professor at Shahrood University of Technology, Iran

Dr. Seyed Mehdi Tavakkoli is a distinguished scholar in structural and computational engineering ๐Ÿ—๏ธ๐Ÿ“Š, serving as Associate Professor at Shahrood University of Technology, Iran. With a Ph.D. in Civil Engineering โ€“ Structures from Iran University of Science & Technology ๐ŸŽ“, he has pioneered research in isogeometric analysis, structural topology optimization, and continuum mechanics. His prolific academic career includes over 30 peer-reviewed journal publications ๐Ÿ“, mentorship of MSc and Ph.D. students, and international collaboration at the University of Bath, UK ๐ŸŒ. Dr. Tavakkoli is highly skilled in MATLAB, Python, and leading structural software tools ๐Ÿ’ป, blending theory with practical applications. His innovative contributions to damage detection, shape optimization, and smart materials position him as a leading voice in modern civil engineering ๐Ÿ”๐Ÿ…. He is deeply committed to advancing research, education, and global knowledge exchange.

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๐ŸŽ“ Education

Dr. Seyed Mehdi Tavakkoli holds a Ph.D. in Civil Engineering โ€“ Structures from Iran University of Science & Technology ๐ŸŽ“, where he specialized in isogeometric analysis and topology optimization using NURBS basis functions. Guided by renowned experts like Prof. Behrooz Hassani and Prof. Ali Kaveh, his dissertation laid the foundation for integrating computational geometry with structural optimization. His education blends strong mathematical rigor, numerical methods, and engineering design ๐Ÿง ๐Ÿ“. Earlier degrees were equally grounded in high academic achievement, with a consistent focus on advanced mechanics and structural systems. His academic journey demonstrates a fusion of innovation and precision, making him an expert in structural modeling, finite elements, and smart structural systems. Dr. Tavakkoliโ€™s education has positioned him as a forward-thinking engineer capable of solving complex multi-scale problems ๐Ÿ—๏ธ๐Ÿ”.

๐Ÿ“ŠProfessional Experience

Dr. Tavakkoli has over 15 years of academic and international research experience. He currently serves as an Associate Professor in the Civil Engineering Department at Shahrood University of Technology ๐Ÿ›๏ธ, where he teaches undergraduate and postgraduate courses in structural analysis, finite element methods, and optimization. From 2013โ€“2014, he worked as a Research Associate at the University of Bath, UK ๐Ÿ‡ฌ๐Ÿ‡ง, where he developed nonlinear models of piezoelectric-bistable laminates for energy harvesting. His teaching record is distinguished by the design of curricula focused on mechanics, computational methods, and structural systems. He has supervised numerous MSc and PhD theses, bringing theoretical insight into practical applications ๐Ÿ“˜๐Ÿ‘จโ€๐Ÿ”ง. His professional journey reflects a balanced commitment to academic excellence, innovation, and global collaboration ๐ŸŒ๐Ÿ“Š.

๐Ÿ”ฌ Research Interests

Dr. Tavakkoliโ€™s research lies at the intersection of computational mechanics, structural optimization, and smart materials. He specializes in isogeometric analysis, finite element modeling, and topology optimization of structures, particularly for energy-efficient and damage-tolerant design systems ๐Ÿงฎโš™๏ธ. His recent studies include multiscale modeling, couple stress theory, level-set methods, and elastoplastic material behavior in structural systems. He has also contributed to damage detection using time-domain responses and modal expansion methods. His work is regularly published in high-impact journals like Engineering with Computers, Computer-Aided Design, and Finite Elements in Analysis and Design ๐Ÿ“‘๐Ÿ“ˆ. Passionate about integrating theory and real-world solutions, his research advances fields such as additive manufacturing, structural health monitoring, and sustainable civil engineering systems ๐ŸŒฑ๐Ÿ—๏ธ.

๐Ÿ… Awards and Honors

Dr. Tavakkoli’s sustained contributions to civil and structural engineering have earned him recognition as a prolific researcher in computational design and optimization. While formal award titles are not explicitly listed, his continuous publication in top-tier international journals and collaborations with leading institutions, including the University of Bath, reflect his scholarly impact ๐Ÿ†๐ŸŒ. His research papersโ€”cited widely in structural optimization and computational mechanicsโ€”have influenced both academia and industry. His role as a supervisor and project leader in complex optimization frameworks also underlines his academic leadership. The innovative nature of his work in isogeometric topology optimization is gaining increasing recognition across structural engineering circles, positioning him as a thought leader in the evolving landscape of smart and sustainable design systems ๐Ÿง ๐Ÿ› ๏ธ.

๐Ÿ› ๏ธ Research Skills

Dr. Tavakkoli possesses deep expertise in structural modeling, numerical methods, and advanced optimization techniques. He is proficient in programming languages such as MATLAB, Python, Visual Fortran, and Visual Basic ๐Ÿ‘จโ€๐Ÿ’ป. His computational skillset includes structural analysis software like ETABS, SAP2000, and SAFE, alongside core platforms like AutoCAD and MS Office. His research utilizes isogeometric and finite element methods, multiscale modeling, and optimization algorithms including ant colony and level-set techniques ๐Ÿ”„๐Ÿ“Š. His capabilities also extend to damage detection and nonlinear modeling of smart materials. This combination of practical software fluency and high-level theoretical modeling makes him highly adaptable for modern engineering challengesโ€”especially in the development of smart, safe, and efficient structural systems โšก๐Ÿ—๏ธ.

๐Ÿ“Publications Top Note

  • Title: Structural topology optimization using ant colony methodology
    Authors: A. Kaveh, B. Hassani, S. Shojaee, S.M. Tavakkoli
    Year: 2008
    Citations: 210
    Source: Engineering Structures, 30(9), 2559โ€“2565

  • Title: An isogeometrical approach to structural topology optimization by optimality criteria
    Authors: B. Hassani, M. Khanzadi, S.M. Tavakkoli
    Year: 2012
    Citations: 169
    Source: Structural and Multidisciplinary Optimization, 45(2), 223โ€“233

  • Title: Simultaneous shape and topology optimization of shell structures
    Authors: B. Hassani, S.M. Tavakkoli, H. Ghasemnejad
    Year: 2013
    Citations: 100
    Source: Structural and Multidisciplinary Optimization, 48(1), 221โ€“233

  • Title: An isogeometrical approach to structural level set topology optimization
    Authors: H.A. Jahangiri, S.M. Tavakkoli
    Year: 2017
    Citations: 88
    Source: Computer Methods in Applied Mechanics and Engineering, 319, 240โ€“257

  • Title: Application of isogeometric analysis in structural shape optimization
    Authors: B. Hassani, S.M. Tavakkoli, N.Z. Moghadam
    Year: 2011
    Citations: 74
    Source: Iranian Science, 18(4), 846โ€“852

  • Title: An isogeometrical approach to error estimation and stress recovery
    Authors: B. Hassani, A. Ganjali, M. Tavakkoli
    Year: 2012
    Citations: 37
    Source: European Journal of Mechanics A: Solids, 31(1), 101โ€“109

  • Title: Isogeometric shape optimization of three dimensional problems
    Authors: B. Hassani, M. Khanzadi, S.M. Tavakkoli, N.Z. Moghadam
    Year: 2009
    Citations: 33
    Source: 8th World Congress on Structural and Multidisciplinary Optimization, 1โ€“5

  • Title: Isogeometric topology optimization of structures by using MMA
    Authors: S.M. Tavakkoli, B. Hassani, H. Ghasemnejad
    Year: 2013
    Citations: 27
    Source: International Journal of Optimization in Civil Engineering, 3(2), 313โ€“326

  • Title: Free vibration of functionally graded thick circular plates: An exact and three-dimensional solution
    Authors: M.Z. Roshanbakhsh, S.M. Tavakkoli, B.N. Neya
    Year: 2020
    Citations: 25
    Source: International Journal of Mechanical Sciences, 188, 105967

  • Title: Structural damage detection in plane stress problems by using time domain responses and topology optimization
    Authors: F. Damghani, S.M. Tavakkoli
    Year: 2023
    Citations: 2
    Source: International Journal of Optimization in Civil Engineering (IJOCE), 13(2)

  • Title: An analytical study on piezoelectric-bistable laminates with arbitrary shapes for energy harvesting
    Authors: S.M. Tavakkoli, P.M. Weaver, C.R. Bowen, D.J. Inman, H. Alicia
    Year: 2015
    Citations: 2
    Source: [Not specified, likely conference proceedings or journal]

  • Title: Topology optimization of space structures using ant colony method
    Authors: S.M. Tavakkoli, L. Shahryari, A. Parsa
    Year: 2013
    Citations: 2
    Source: International Journal of Optimization in Civil Engineering, 3(3), 359โ€“370

  • Title: Channels flow modeling by using isogeometric analysis
    Authors: R. Amini, R. Maghsoodi, N.Z. Moghaddam, S.M. Tavakkoli
    Year: 2016
    Citations: 1
    Source: Journal of Solid and Fluid Mechanics, 5(4)

  • Title: Size-dependent topology optimization for eigenfrequency maximization of microplates using consistent couple stress theory
    Authors: M.Z. Roshanbakhsh, S.M. Tavakkoli
    Year: 2025
    Source: Advances in Engineering Software, 206, 103941

๐Ÿงพ Conclusion

Dr. Seyed Mehdi Tavakkoli exemplifies a rare blend of academic depth, technical precision, and forward-thinking research in structural engineering. With over three decades of cumulative experience across teaching, research, and international collaboration, he has become a key contributor to the evolving landscape of computational civil engineering ๐Ÿ“˜๐ŸŒ. His isogeometric approach, grounded in rigorous mathematics and real-world applications, continues to influence emerging scholars and professionals alike. Whether through supervising doctoral candidates, publishing high-impact research, or exploring optimization in additive manufacturing, his work consistently pushes the boundary of whatโ€™s possible in engineering design. Dr. Tavakkoli stands out not only as a researcher but as a mentor, innovator, and thought leader of 21st-century structural systems ๐Ÿ…๐Ÿš€.

Binghao OuYang | Optimization | Best Researcher Award

Dr. Binghao OuYang | Optimization | Best Researcher Award

Research assistant at City University of Hong Kong, China

Dr. OuYang Binghao (ๆฌง้˜ณ็‚ณๆฟ ) is a promising early-career researcher specializing in game theory and distributed Nash equilibrium seeking algorithms โš™๏ธ๐Ÿ“Š. Currently pursuing a joint PhD at City University of Hong Kong and University of Science and Technology of China, he holds a strong academic record with a GPA of 3.78/4.3 ๐ŸŽ“. His research focuses on fixed-time convergence algorithms for complex control systems, with practical applications in non-cooperative games and Euler-Lagrange systems ๐Ÿ”๐Ÿค–. Dr. OuYang has earned several awards, including a gold medal at the National College Student Innovation Competition ๐Ÿฅ‡ and recognition as an outstanding undergraduate graduate. Skilled in Python, C++, and Matlab, he also applies reinforcement and deep learning techniques to advance his research ๐Ÿ’ป๐Ÿง . With a solid mathematical foundation and innovative approach, Dr. OuYang is a rising talent in control science and engineering, poised to make significant contributions to his field.

Professional Profileย 

๐ŸŽ“ Education

Dr. OuYang Binghao (ๆฌง้˜ณ็‚ณๆฟ ) has pursued a rigorous academic path in engineering and control science. He earned his Bachelor’s degree in Automation from the University of Science and Technology of China (USTC) (2016โ€“2020) ๐ŸŽฏ, followed by PhD studies in Control Science and Engineering (2020โ€“2022) with a GPA of 3.50/4.3 ๐Ÿ“š. Currently, he is completing a Joint PhD in Biomedical Engineering and Control Science at City University of Hong Kong and USTC, maintaining an impressive GPA of 3.78/4.3 ๐Ÿ…. Guided by Professors Feng Gang and Wang Yong, his education blends theoretical depth with applied research, equipping him to tackle complex engineering challenges across interdisciplinary domains ๐ŸŽ“๐Ÿ”ฌ.

๐Ÿ’ผ Professional Experience

Dr. OuYang has demonstrated practical innovation from early in his academic career. In 2020, his excellent undergraduate graduation project involved the development of a fingerprint attendance system ๐Ÿ› ๏ธ. Later, in 2021, he participated in the China International College Students Innovation Competition, helping design a motion perception and high-precision positioning system, which won a gold award ๐Ÿฅ‡. From 2022โ€“2023, he conducted research at City University of Hong Kong focused on distributed Nash equilibrium seeking in non-cooperative games ๐Ÿค๐Ÿ“ˆ. His hands-on experience bridges theoretical modeling and real-world applications, showcasing a promising blend of technical creativity and research diligence ๐Ÿ’ก๐Ÿงช.

๐Ÿ”ฌ Research Interest

Dr. OuYangโ€™s core research areas include game theory, distributed Nash equilibrium algorithms, and fixed-time convergence strategies for control systems ๐Ÿ“โš™๏ธ. He is particularly focused on solving equilibrium-seeking problems in constrained and dynamic non-cooperative games, as well as Euler-Lagrange systems ๐Ÿ”„๐Ÿง . With expertise in reinforcement learning, deep learning, and optimization, his work integrates modern computational tools to address long-standing challenges in control science ๐Ÿš€. His interest in convergence algorithms extends to real-time systems, offering broad applications in autonomous systems, multi-agent robotics, and decentralized networks ๐Ÿค–๐ŸŒ. His work is driven by a strong mathematical foundation and a vision for robust and scalable algorithm design ๐Ÿ“Š๐Ÿงฎ.

๐Ÿ† Awards and Honors

Dr. OuYang has received multiple honors reflecting both academic excellence and innovation ๐Ÿ…. He earned the Outstanding Undergraduate Graduate award from USTC in 2020, recognizing his stellar academic performance ๐ŸŽ“. His graduation project was named an Excellent Graduation Project, and he secured First-Class Graduate Scholarships in both 2020 and 2021 ๐Ÿ’ธ. In 2021, he won a Gold Award in the National College Student Innovation Competition for his contributions to a motion perception and positioning system ๐Ÿฅ‡. Earlier, in 2019, he received the Second Prize in the NXP Cup Intelligent Car Competition ๐Ÿš—. These recognitions affirm his technical competence, creativity, and dedication to impactful research and development.

๐Ÿ’ผ๐Ÿ“˜Conclusion

Dr. OuYang Binghao stands out as a dynamic and skilled researcher, combining academic excellence with practical innovation ๐Ÿ’ผ๐Ÿ“˜. With a strong educational background, impactful project work, and research in high-impact areas such as game theory and fixed-time algorithms, he exhibits the qualities of a future leader in engineering and control systems ๐Ÿงญ. His proficiency in programming, AI integration, and control dynamics, along with international research exposure, positions him as a valuable contributor to the global research community ๐ŸŒ. Dr. OuYangโ€™s trajectory reflects not only promise but also a clear commitment to solving critical real-world problems through mathematics, computation, and collaborative research ๐Ÿค๐Ÿ”ฌ..

Publication Top Notes

Title: Vertically Oriented Micron-Thick Perovskite Film Enables Efficient and Stable Inverted Perovskite Solar Cells

Authors: Bing-Hao Lv, Yong-Chun Ye, Jun-Gan Wang, Liu-Jiang Zhang, Yu-Hang Zhang, Ming-Li Zheng, Xian-Min Chen, Hui-Wei Du, Jie Yang, Xin-Yu Zhang, Meng-Lei Xu, Qiu-Feng Ye, Xingyu Gao, Jian-Xin Tang, Yongbing Tang

Year: 2025

Source: Chemical Engineering Journal, Volume 511, Article 161966CoLab

DOI: 10.1016/j.cej.2025.161966

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Liangliang Sun | Optimization | Best Researcher Award

Prof. Liangliang Sun | Optimization | Best Researcher Award

Dean at Northeastern University, China

Prof. Liangliang Sun ๐ŸŒŸ is a distinguished scholar in control theory and intelligent scheduling systems, currently serving at Northeastern University, China ๐Ÿซ. With a robust academic background including a Ph.D. from both Northeastern University and the University of Connecticut ๐ŸŽ“, he has cultivated deep expertise in steelmaking-continuous casting optimization, energy systems, and industrial automation โš™๏ธ. His prolific research spans over 18 high-impact publications ๐Ÿ“š, multiple national-level projects ๐ŸŽฏ, and several patented innovations ๐Ÿ”ฌ. Prof. Sun has earned accolades such as the Xingliao Talent Plan ๐ŸŒŸ and has been a two-time champion ๐Ÿ† in Chinaโ€™s prestigious Challenge Cup competitions. His contributions extend into teaching, editorial responsibilities ๐Ÿ–‹๏ธ, and international collaborations ๐ŸŒ. Known for integrating theory with real-world industrial applications ๐Ÿ”„, he bridges gaps between research and practice seamlessly. As a dynamic thought leader ๐Ÿš€ in control engineering and smart manufacturing, Prof. Sun continues to inspire innovation and academic excellence across global platforms ๐ŸŒ.

Professional Profileย 

Scopus Profile

๐ŸŽ“ Education

Prof. Liangliang Sunโ€™s academic journey is marked by scholarly excellence and international immersion ๐ŸŒ. He earned his Bachelor’s and Master’s degrees in Automation and Control Engineering from Northeastern University, China ๐Ÿ‡จ๐Ÿ‡ณ, laying the groundwork for a solid technical foundation. He later pursued a prestigious dual Ph.D. from Northeastern University and the University of Connecticut ๐Ÿ‡บ๐Ÿ‡ธ, enriching his expertise through cross-cultural academic synergy. His doctoral research focused on intelligent optimization and industrial system control, setting the stage for impactful innovation. This global academic trajectory reflects a deep commitment to advancing modern engineering frontiers ๐Ÿ”ฌ. With early exposure to cutting-edge research environments, Prof. Sun developed a unique ability to integrate Eastern precision with Western analytical frameworks, a blend that defines his distinctive academic persona ๐Ÿ“˜.

๐Ÿข Professional Experience

Prof. Sun has cultivated an impressive professional track record in academic and applied engineering settings ๐Ÿ”ง. Currently a full professor at Northeastern Universityโ€™s School of Information Science and Engineering ๐Ÿซ, he teaches and mentors in systems engineering and automation. His career includes a postdoctoral tenure at the University of Connecticut ๐Ÿ‡บ๐Ÿ‡ธ, where he deepened his research in smart manufacturing. He has led numerous national research projects as Principal Investigator, collaborating with top-tier steel and energy enterprises ๐Ÿญ. Beyond academia, he offers expert consultations on intelligent scheduling, production line efficiency, and energy optimization ๐Ÿ’ก. Prof. Sun also holds leadership roles in editorial boards and technical committees, actively shaping global discourse in control systems and industrial AI ๐Ÿ“Š. His trajectory exemplifies research-driven engineering leadership โš™๏ธ.

๐Ÿ” Research Interest

Prof. Sunโ€™s research orbits around intelligent optimization, industrial control, and smart scheduling algorithms ๐Ÿš€. He explores dynamic production scheduling in steelmaking, aiming to enhance process integration, reduce emissions, and boost system efficiency ๐Ÿ”„. His work leverages artificial intelligence, deep learning, and energy modeling to address complex industrial challenges. With a passion for merging theory with real-world applicability ๐Ÿ› ๏ธ, his investigations span multi-objective optimization, cyber-physical systems, and data-driven control frameworks. He has also ventured into hydrogen-rich energy systems and low-carbon manufacturing pathways ๐ŸŒฑ. His scientific vision aligns seamlessly with the evolving demands of Industry 4.0 and sustainable engineering ๐ŸŒ. Through over 18 peer-reviewed papers, Prof. Sun has contributed significantly to reshaping production intelligence and process automation across diverse industrial landscapes ๐Ÿ“š.

๐Ÿ… Awards and Honors

Prof. Liangliang Sun has garnered prestigious awards that reflect his academic leadership and innovation excellence ๐Ÿ†. Heโ€™s a dual Champion of the National Challenge Cup, a rare feat highlighting his creativity and technical mastery early on ๐Ÿง . He is a selected recipient of the Xingliao Talent Plan, the “Hundred and Ten Thousand Talents Project”, and the Young Top Talent in Liaoning Province ๐ŸŒŸ. Recognized nationally and provincially, he exemplifies the profile of a high-impact scholar pushing disciplinary boundaries ๐Ÿšง. His awarded projects from the National Natural Science Foundation of China (NSFC) underline the national trust in his research potential ๐Ÿงช. These honors demonstrate his sustained excellence in advancing automation, energy intelligence, and industrial digitization. Each accolade fortifies his status as a distinguished researcher ๐Ÿ’ผ.

๐Ÿงฉ Conclusion

Prof. Liangliang Sun represents a remarkable blend of intellectual rigor, innovation, and practical relevance ๐ŸŽฏ. With interdisciplinary strength across automation, AI, and energy systems, he bridges theoretical research with industrial transformation ๐ŸŒ. His impactful publications, pioneering projects, and patented inventions underscore a career built on thoughtful innovation and global relevance ๐Ÿ’ก. He leads with purpose, engages in collaborative discovery, and mentors the next generation of scientific leaders ๐Ÿ‘จโ€๐Ÿซ. Prof. Sunโ€™s contributions enhance the technological landscape and redefine the future of smart manufacturing and sustainable engineering ๐Ÿ”‹. As a thought leader, he continues to shape high-impact solutions for complex industrial ecosystems, leaving a lasting imprint on global engineering science ๐ŸŒŸ. His career is a testament to vision, resilience, and relentless pursuit of excellence ๐Ÿ”.

Publications Top Notes

๐Ÿ“˜ Title: A learning-enhanced ant colony optimization algorithm for integrated planning and scheduling in hot rolling production lines under uncertainty
Authors: S. Jiang, L. He, L. Cao, L. Sun, G. Peng
Year: 2025
Citations: 1
Source: Swarm and Evolutionary Computation


๐Ÿ“˜ Title: A Self-adaptive two stage iterative greedy algorithm based job scales for energy-efficient distributed permutation flowshop scheduling problem
Authors: Y. Yu, Q. Zhong, L. Sun, X. Jing, Z. Wang
Year: 2025
Source: Swarm and Evolutionary Computation


๐Ÿ“˜ Title: Research on steelmaking-continuous casting cast batch planning based on an improved surrogate absolute-value Lagrangian relaxation framework
Authors: C. Li, L. Sun
Year: 2025
Source: International Journal of Automation and Control


๐Ÿ“˜ Title: An Online Learning-Based mACO Approach for Hot Rolling Scheduling Problems Involving Dynamic Order Arrivals
Authors: S. Jiang, Q. Liu, L. Cao, L. Sun
Year: 2025
Source: IEEE Transactions on Automation Science and Engineering


๐Ÿ“˜ Title: A robust optimization approach for steeling-continuous casting charge batch planning with uncertain slab weight
Authors: C. Li, L. Sun
Year: 2024
Citations: 1
Source: Journal of Process Control


๐Ÿ“˜ Title: Optimal control of three-dimensional unsteady partial differential equations with convection term in continuous casting
Authors: Y. Yu, Y. Wang, X. Pang, L. Sun
Year: 2024
Citations: 1
Source: Computers and Mathematics with Applications


๐Ÿ“˜ Title: Optimal Scheduling Works for Two Employees with Ordered Criteria
Authors: N.M. Matsveichuk, Y.N. Sotskov, L. Sun
Year: 2024
Source: WSEAS Transactions on Business and Economics