Andre Peremans | Operations Research | Best Researcher Award

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Dr. Andre Peremans | Operations Research | Best Researcher Award

Department of Physics at University of Namur | Belgium

Dr. André Peremans is a distinguished Belgian physicist recognized for his pioneering contributions in laser-based spectroscopy, surface science, and nonlinear optical techniques. He obtained his Ph.D. in Science in 1990 from the Facultés Universitaires Notre-Dame de la Paix, Belgium, where his dissertation focused on resonant infrared laser stimulation and molecular desorption, and later earned the Agrégation de l’Enseignement Supérieur in 2004, underscoring his academic leadership. Over the years, he has held key research positions with the Belgian National Fund for Scientific Research (FNRS), progressing from Research Associate to Research Director, and gained valuable international experience through collaborations at the University of Tokyo, Paris-Sud (LURE), and SUNY Buffalo. His professional career is defined by expertise in nonlinear vibrational spectroscopy, sum-frequency generation (SFG), and the development of advanced laser systems for exploring electrochemical interfaces, biomolecular recognition, and biosensors. Dr. Peremans has demonstrated exceptional research skills in spectroscopy, biophotonics, and laser diagnostics, producing more than 60 high-impact publications in leading journals such as Physical Review Letters, Journal of Physical Chemistry, Chemical Physics Letters, Optics Letters, and Biosensors and Bioelectronics, along with multiple book chapters that have influenced physics, chemistry, and materials science. His innovative work is further reflected in international patents on laser technologies and spectroscopy, bridging fundamental research with applied solutions. In addition to his scientific output, he has supervised several Ph.D. theses, contributing significantly to the training and mentorship of early-career researchers. His achievements have been recognized through prestigious honors, including the French Community Award for his Ph.D. dissertation in 1990 and the Economic Prize of the Province of Namur in 1999. In conclusion, Dr. Peremans stands as an influential figure in physics and spectroscopy, whose leadership, innovation, and international collaborations continue to shape cutting-edge research and foster advancements with profound scientific and societal impact.

Profile: Scopus

Publications

1. Evaluation of table-top lasers for routine infrared ion spectroscopy in the analytical laboratory. (2021). Analyst. [Citations: 13]

2. Assessment of disinfection potential of Q-switch Nd:YAG laser on contaminated titanium implant surfaces. (2021). Materials. [Citations: 7]

3. Super resolution far field infrared microscopy [Conference paper]. (2020). [Citations: 1]

4. Q-Switch Nd:YAG laser-assisted elimination of multi-species biofilm on titanium surfaces. (2020). Materials. [Citations: 14]

5. Q-Switch Nd:YAG laser-assisted decontamination of implant surface. (2019). Dentistry Journal. [Citations: 17]

Faïçal Ndaïrou | Optimization | Best Researcher Award

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Dr. Faïçal Ndaïrou | Optimization | Best Researcher Award

Researcher at University of Aveiro | Portugal

Dr. Faïcal Ndaïrou is an accomplished researcher in applied mathematics, fractional calculus, and mathematical epidemiology, recognized for his expertise in optimization theory and infectious disease modeling, with a career that reflects both academic excellence and international research impact. He began his higher education at the African Institute for Mathematical Sciences (AIMS) in Cameroon, where he earned a Master’s in Mathematical Sciences in 2015 with Distinction, focusing on mathematical epidemiology, computational science, and bioinformatics. He went on to complete two doctoral programs that highlight his interdisciplinary strengths: in 2020, he earned a Ph.D. in Water Sustainability and Development from the University of Vigo, Spain, with Outstanding Cum Laude honors, focusing on mathematical modeling of water-related infectious diseases, and in 2022, he completed a Ph.D. in Applied Mathematics at the Universities of Aveiro, Porto, and Minho, Portugal, with Distinction, specializing in optimization subject to fractional dynamics with applications to disease modeling. Professionally, Dr. Ndaïrou has contributed as a researcher at the Center for Research and Development in Mathematics and Applications (CIDMA), Portugal, and more recently as a postdoctoral researcher at the Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, supported by the prestigious PIKOM fellowship. His research interests lie in fractional calculus, optimization, computational mathematics, and epidemiological modeling, and his skills include proficiency in Python, R, Matlab, Julia, Maple, Sage, and LaTeX. He has published in leading journals such as Applied Mathematics and Computation, Chaos, Solitons & Fractals, and Mathematics, while serving as Guest Editor and on editorial boards for MDPI Mathematics and Frontiers in Applied Mathematics and Statistics. A recipient of highly competitive scholarships from FCT Portugal, the Bulgarian Ministry of Education, and AIMS Cameroon, Dr. Ndaïrou continues to build a reputation as a rising leader whose research bridges theoretical innovation with urgent societal challenges in health and sustainability.

Profiles: Scopus | Google Scholar | ORCID

Publications

1. Ndaïrou, F., Area, I., Nieto, J. J., & Torres, D. F. M. (2020). Mathematical modeling of COVID-19 transmission dnamics with a case study of Wuhan. Chaos, Solitons & Fractals, 135, 109846. Citations: 885

2. Ndaïrou, F., Area, I., Nieto, J. J., Silva, C. J., & Torres, D. F. M. (2021). Fractional model of COVID-19 applied to Galicia, Spain and Portugal. Chaos, Solitons & Fractals, 144, 110652. Citations: 106

3. Area, I., Ndairou, F., Nieto, J. J., Silva, C. J., & Torres, D. F. M. (2017). Ebola model and optimal control with vaccination constraints. arXiv preprint arXiv:1703.01368. Citations: 102

4. Ndaïrou, F., Area, I., Nieto, J. J., Silva, C. J., & Torres, D. F. M. (2018). Mathematical modeling of Zika disease in pregnant women and newborns with microcephaly in Brazil. Mathematical Methods in the Applied Sciences, 41(18), 8929–8941. Citations: 63

5. Area, I., Losada, J., Ndairou, F., Nieto, J. J., & Tcheutia, D. D. (2017). Mathematical modeling of 2014 Ebola outbreak. Mathematical Methods in the Applied Sciences, 40(17), 6114–6122. Citations: 40

Muhammad Yousaf Iqbal | Optimization | Best Scholar Award

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Dr. Muhammad Yousaf Iqbal | Optimization | Best Scholar Award

Research Assistant at Zhejiang University of Technology, China

Dr. Muhammad Yousaf Iqbal is a Mechanical Engineer and Postdoctoral Researcher at Zhejiang University of Technology, specializing in vibration-based virtual sensors, RCCI engines, renewable energy systems, and advanced combustion monitoring. He earned his Ph.D. in Mechanical Engineering from Taiyuan University of Technology, with expertise spanning vehicle engineering, automotive design, vibration analysis, and energy regenerative systems. His research portfolio includes projects on hydrogen–diesel RCCI engines, methanol-blended fuels, and regenerative hydraulic electromagnetic shock absorbers, demonstrating a strong link between academic innovation and industrial application. He has authored more than 18 peer-reviewed articles in Q1–Q3 SCI/Scopus indexed journals, co-authored a technical book, and contributed as a reviewer and editorial member with IEEE. With over 230 citations, leadership in international collaborations, and active involvement in student organizations, he continues to advance sustainable automotive and mechanical research globally.

Professional Profile

Google Scholar 

Education

Dr. Muhammad Yousaf Iqbal completed his Ph.D. in Mechanical Engineering from Taiyuan University of Technology, focusing on vibration-based virtual sensors, RCCI engines, and sustainable energy systems. His doctoral research centered on combustion monitoring and virtual sensing technologies to enhance efficiency and reduce emissions in advanced engines. Prior to his Ph.D., he built a strong academic foundation in mechanical and automotive engineering, acquiring expertise in thermodynamics, heat transfer, and mechanical design. His academic training combined rigorous theoretical studies with practical industrial exposure, enabling him to develop advanced problem-solving skills and interdisciplinary knowledge. The breadth of his education reflects a commitment to combining innovation with real-world applications, laying the groundwork for his postdoctoral research at Zhejiang University of Technology and his continuous contributions to mechanical and energy engineering fields.

Experience

Dr. Muhammad Yousaf Iqbal possesses extensive academic, research, and industrial experience, combining over seven years of professional engagement across mechanical and automotive domains. As a Postdoctoral Researcher at Zhejiang University of Technology, he contributes to international collaborations and innovative research projects in vibration analysis, RCCI engines, and regenerative systems. His prior involvement includes doctoral research in advanced combustion systems and hands-on training with Dayun Truck Industry in vehicle design and assembly. He has successfully balanced teaching, mentoring, and supervising student research while actively contributing to the scientific community as a reviewer and editorial board member with IEEE. His experience demonstrates the ability to integrate academic rigor with industrial applications, ensuring impactful outcomes in automotive design, renewable energy solutions, and mechanical engineering innovations with strong global relevance.

Research Interest

Dr. Muhammad Yousaf Iqbal’s research interests span vibration-based virtual sensing, advanced combustion technologies, and sustainable energy systems. He specializes in the optimization of RCCI engines through alternative fuels, including hydrogen, diesel, and methanol blends, aiming to improve efficiency while reducing emissions. His work extends to developing energy regenerative hydraulic electromagnetic shock absorbers that contribute to energy recovery in vehicles, as well as projects involving automotive design, vehicle dynamics, and propulsion systems. He is equally engaged in mechanical design, thermodynamics, heat transfer, and composite materials, ensuring a multidisciplinary approach to innovation. His research bridges the gap between theory and practice, contributing to both academic advancements and industrial solutions. These interests reflect his long-term vision of fostering sustainable technologies for cleaner and more efficient mechanical and automotive engineering applications.

Award and Honor

Dr. Muhammad Yousaf Iqbal has been recognized for his significant contributions to research and innovation through multiple awards and honors. He has published more than 18 peer-reviewed articles in Q1–Q3 SCI/Scopus indexed journals, a recognition of his scientific rigor and dedication to impactful research. His academic achievements are complemented by international collaborations with prestigious research groups, earning him acknowledgment within the global research community. He co-authored a technical book on 3D Mechanical Design, which highlights his dedication to advancing engineering knowledge. His involvement with IEEE as an editorial member further adds to his professional recognition. These distinctions reflect his excellence in research, teaching, and leadership, underscoring his growing influence in mechanical and energy engineering while reinforcing his potential for continued recognition in future academic and professional endeavors.

Research Skill

Dr. Muhammad Yousaf Iqbal demonstrates advanced research skills in mechanical design, vibration analysis, thermodynamics, and combustion monitoring. He is proficient in developing vibration-based virtual sensors, enabling cost-effective real-time monitoring of NOx emissions in diesel and RCCI engines. His expertise includes experimental design, computational modeling, and data analysis for automotive and energy systems. Skilled in working with renewable and alternative fuels, he has contributed to optimizing hydrogen–diesel RCCI engines and investigating methanol fuel blends. He combines theoretical understanding with practical engineering skills, integrating design, manufacturing, and simulation to deliver innovative solutions. His cross-cultural collaboration experience and project management abilities strengthen his role in international research projects. With a strong publication record and editorial contributions, he possesses the technical, analytical, and leadership skills essential for advancing mechanical and automotive research.

Publication Top Notes

  • Title: A double-channel hybrid deep neural network based on CNN and BiLSTM for remaining useful life prediction
    Authors: C Zhao, X Huang, Y Li, M Yousaf Iqbal
    Year: 2020
    Citation: 119

  • Title: A fractional Whitham-Broer-Kaup equation and its possible application to tsunami prevention
    Authors: Y Wang, YF Zhang, ZJ Liu, M Iqbal
    Year: 2017
    Citation: 23

  • Title: A study of advanced efficient hybrid electric vehicles, electric propulsion and energy source
    Authors: MY Iqbal, T Wang, G Li, D Chen, MM Al-Nehari
    Year: 2022
    Citation: 16

  • Title: Development and Validation of a Vibration-Based Virtual Sensor for Real-Time Monitoring NOx Emissions of a Diesel Engine
    Authors: MY Iqbal, T Wang, G Li, S Li, G Hu, T Yang, F Gu, M Al-Nehari
    Year: 2022
    Citation: 15

  • Title: A short review on analytical methods for fractional equations with He’s fractional derivative
    Authors: Y Wang, YF Zhang, JG Liu, M Iqbal
    Year: 2017
    Citation: 15

  • Title: Investigation of accumulator main parameters of hydraulic excitation system
    Authors: Z Wu, Y Xiang, M Li, MY Iqbal, G Xu
    Year: 2019
    Citation: 13

  • Title: Study of external characteristics of hydraulic electromagnetic regenerative shock absorber
    Authors: MY Iqbal, Z Wu, G Xu, SA Bukhari
    Year: 2019
    Citation: 7

  • Title: A High-Efficiency Energy Harvesting by Using Hydraulic Electromagnetic Regenerative Shock Absorber
    Authors: MY Iqbal, Z Wu, W Tie, G Li, J Zhiyong, H GuiCheng
    Year: 2020
    Citation: 6

  • Title: Improving the effect of air chambers on micro-pressure waves from tunnel portals: Moderate underdamping
    Authors: F Liu, H Lei, M Wei, H Sun, MY Iqbal, D Chen
    Year: 2024
    Citation: 5

  • Title: A Triboelectric Piston–Cylinder Assembly with Condition‐Monitoring and Self‐Powering Capabilities
    Authors: G Li, H Wu, R Guo, H Zhang, L Li, MY Iqbal, F Gu
    Year: 2022
    Citation: 4

  • Title: Grinding mechanism of high-temperature nickel-based alloy using FEM-FBM technique
    Authors: M Al-Nehari, G Liang, L Ming, W Yahya, A Algaradi, MY Iqabal
    Year: 2021
    Citation: 4

  • Title: Cavitation Failure Analysis of Cylinder Liner in Diesel Engines Caused by Increased Combustion Pressure
    Authors: P Liu, R Tan, L Li, W Shi, J Chen, MY Iqbal, D Liu, G Li
    Year: 2024
    Citation: 1

  • Title: Combustion Parametric Investigations of Methanol-Based RCCI Internal Combustion Engine and Comparison with the Conventional Dual Fuel Mode
    Authors: MY Iqbal, T Wang, GX Li, W Ali
    Year: 2023
    Citation: 1

  • Title: Performance comparison of switching losses of SiC DMOS vs Si IGBT
    Authors: SA Bukhari, H Zhang, SH Bukhari, MY Iqbal
    Year: 2020
    Citation: 1

  • Title: Impact of Fischer-Tropsch diesel and methanol blended fuel on diesel engine performance
    Authors: Z Wu, T Wang, P Zuo, MY Iqbal
    Year: 2019
    Citation: 1

Conclusion

Dr. Muhammad Yousaf Iqbal stands out as an accomplished researcher whose work bridges academic innovation and industrial application. His expertise in vibration-based virtual sensing, RCCI engine optimization, and regenerative energy systems has contributed to advancements in sustainable automotive engineering. With extensive publications, international collaborations, and leadership in professional organizations, he has established himself as a rising figure in global research. His dedication to mentoring students, engaging in cross-disciplinary projects, and contributing as a reviewer and editorial member reflects both academic excellence and community involvement. Beyond his current achievements, he holds strong potential to lead pioneering projects that shape future technologies in clean energy and advanced mechanical systems. These contributions affirm his suitability for recognition, positioning him as a deserving candidate for prestigious research awards.

 

Seyed Mehdi Tavakkoli | Optimization | Best Researcher Award

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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 🏗️📊, serving as Associate Professor at Shahrood University of Technology, Iran. With a Ph.D. in Civil Engineering – Structures from Iran University of Science & Technology 🎓, he has pioneered research in isogeometric analysis, structural topology optimization, and continuum mechanics. His prolific academic career includes over 30 peer-reviewed journal publications 📝, mentorship of MSc and Ph.D. students, and international collaboration at the University of Bath, UK 🌍. Dr. Tavakkoli is highly skilled in MATLAB, Python, and leading structural software tools 💻, 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 🔍🏅. He is deeply committed to advancing research, education, and global knowledge exchange.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

🎓 Education

Dr. Seyed Mehdi Tavakkoli holds a Ph.D. in Civil Engineering – Structures from Iran University of Science & Technology 🎓, 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 🧠📐. 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. Tavakkoli’s education has positioned him as a forward-thinking engineer capable of solving complex multi-scale problems 🏗️🔍.

📊Professional 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 🏛️, where he teaches undergraduate and postgraduate courses in structural analysis, finite element methods, and optimization. From 2013–2014, he worked as a Research Associate at the University of Bath, UK 🇬🇧, 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 📘👨‍🔧. His professional journey reflects a balanced commitment to academic excellence, innovation, and global collaboration 🌍📊.

🔬 Research Interests

Dr. Tavakkoli’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 🧮⚙️. 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 📑📈. Passionate about integrating theory and real-world solutions, his research advances fields such as additive manufacturing, structural health monitoring, and sustainable civil engineering systems 🌱🏗️.

🏅 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 🏆🌍. His research papers—cited widely in structural optimization and computational mechanics—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 🧠🛠️.

🛠️ 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 👨‍💻. 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 🔄📊. 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 challenges—especially in the development of smart, safe, and efficient structural systems ⚡🏗️.

📝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), 2559–2565

  • 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), 223–233

  • 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), 221–233

  • 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, 240–257

  • 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), 846–852

  • 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), 101–109

  • 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, 1–5

  • 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), 313–326

  • 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), 359–370

  • 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

🧾 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 📘🌐. 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 what’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 🏅🚀.

Liangliang Sun | Optimization | Best Researcher Award

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Prof. Liangliang Sun | Optimization | Best Researcher Award

Dean at Northeastern University, China

Prof. Liangliang Sun 🌟 is a distinguished scholar in control theory and intelligent scheduling systems, currently serving at Northeastern University, China 🏫. With a robust academic background including a Ph.D. from both Northeastern University and the University of Connecticut 🎓, he has cultivated deep expertise in steelmaking-continuous casting optimization, energy systems, and industrial automation ⚙️. His prolific research spans over 18 high-impact publications 📚, multiple national-level projects 🎯, and several patented innovations 🔬. Prof. Sun has earned accolades such as the Xingliao Talent Plan 🌟 and has been a two-time champion 🏆 in China’s prestigious Challenge Cup competitions. His contributions extend into teaching, editorial responsibilities 🖋️, and international collaborations 🌐. Known for integrating theory with real-world industrial applications 🔄, he bridges gaps between research and practice seamlessly. As a dynamic thought leader 🚀 in control engineering and smart manufacturing, Prof. Sun continues to inspire innovation and academic excellence across global platforms 🌍.

Professional Profile 

Scopus Profile

🎓 Education

Prof. Liangliang Sun’s academic journey is marked by scholarly excellence and international immersion 🌍. He earned his Bachelor’s and Master’s degrees in Automation and Control Engineering from Northeastern University, China 🇨🇳, laying the groundwork for a solid technical foundation. He later pursued a prestigious dual Ph.D. from Northeastern University and the University of Connecticut 🇺🇸, 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 🔬. 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 📘.

🏢 Professional Experience

Prof. Sun has cultivated an impressive professional track record in academic and applied engineering settings 🔧. Currently a full professor at Northeastern University’s School of Information Science and Engineering 🏫, he teaches and mentors in systems engineering and automation. His career includes a postdoctoral tenure at the University of Connecticut 🇺🇸, 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 🏭. Beyond academia, he offers expert consultations on intelligent scheduling, production line efficiency, and energy optimization 💡. Prof. Sun also holds leadership roles in editorial boards and technical committees, actively shaping global discourse in control systems and industrial AI 📊. His trajectory exemplifies research-driven engineering leadership ⚙️.

🔍 Research Interest

Prof. Sun’s research orbits around intelligent optimization, industrial control, and smart scheduling algorithms 🚀. He explores dynamic production scheduling in steelmaking, aiming to enhance process integration, reduce emissions, and boost system efficiency 🔄. 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 🛠️, 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 🌱. His scientific vision aligns seamlessly with the evolving demands of Industry 4.0 and sustainable engineering 🌐. Through over 18 peer-reviewed papers, Prof. Sun has contributed significantly to reshaping production intelligence and process automation across diverse industrial landscapes 📚.

🏅 Awards and Honors

Prof. Liangliang Sun has garnered prestigious awards that reflect his academic leadership and innovation excellence 🏆. He’s a dual Champion of the National Challenge Cup, a rare feat highlighting his creativity and technical mastery early on 🧠. 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 🌟. Recognized nationally and provincially, he exemplifies the profile of a high-impact scholar pushing disciplinary boundaries 🚧. His awarded projects from the National Natural Science Foundation of China (NSFC) underline the national trust in his research potential 🧪. These honors demonstrate his sustained excellence in advancing automation, energy intelligence, and industrial digitization. Each accolade fortifies his status as a distinguished researcher 💼.

🧩 Conclusion

Prof. Liangliang Sun represents a remarkable blend of intellectual rigor, innovation, and practical relevance 🎯. With interdisciplinary strength across automation, AI, and energy systems, he bridges theoretical research with industrial transformation 🌐. His impactful publications, pioneering projects, and patented inventions underscore a career built on thoughtful innovation and global relevance 💡. He leads with purpose, engages in collaborative discovery, and mentors the next generation of scientific leaders 👨‍🏫. Prof. Sun’s contributions enhance the technological landscape and redefine the future of smart manufacturing and sustainable engineering 🔋. As a thought leader, he continues to shape high-impact solutions for complex industrial ecosystems, leaving a lasting imprint on global engineering science 🌟. His career is a testament to vision, resilience, and relentless pursuit of excellence 🔝.

Publications Top Notes

📘 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

📘 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

📘 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

📘 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

📘 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

📘 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

📘 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