Yaling Sun | Electrical Engineering | Best Researcher Award

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Dr. Yaling Sun | Electrical Engineering | Best Researcher Award

PhD at Tianjin University, China

Dr. Yaling Sun , Shandong Province , is an emerging researcher in integrated energy systems and energy trading . She is currently pursuing her PhD in Electrical Engineering at Tianjin University , one of China’s top double first-class universities. With first-author publications, multiple collaborative papers, patents, and software copyrights , she actively contributes to the advancement of renewable energy and smart grid technologies . Her research blends mathematical modeling, game theory, and technical economic optimization to enhance system efficiency and sustainability. Professionally, she has worked as a Solutions Engineer at Beijing Hyper strong Engineering Technology Co., Ltd, delivering comprehensive energy storage solutions for traditional and renewable power systems . She has also participated in numerous national and industrial projects, from offshore wind farm topology design  to integrated energy system planning . Recognized with national awards  and academic scholarships , she aims to shape a greener, smarter energy future.

Professional Profile

ORCID Profile

Education 

Dr. Yaling Sun academic journey reflects versatility and ambition . She is currently  pursuing her PhD in Electrical Engineering at Tianjin University , a double first-class university and member of China’s prestigious  projects . Her doctoral research focuses on integrated energy systems, optimization modeling, and energy trading mechanisms . She previously earned her Master’s degree  in Professional Accounting  from North China Electric Power University , where she combined technical and economic perspectives in energy research. Earlier, she completed her Undergraduate degree  in Accounting from Wenjing College, Yantai University . This interdisciplinary background spanning engineering, economics, and finance equips her with unique analytical capabilities to tackle energy challenges from both technical and market viewpoints . Alongside formal education, she has also obtained Mini MBA certification , enhancing her leadership and innovation skills. This solid academic foundation empowers her to bridge research, technology, and business in the energy sector.

Experience 

Dr. Yaling Sun professional experience blends industry expertise with research excellence . she served as a Solutions Engineer at Beijing Hyperstrong Engineering Technology Co., Ltd , providing one-stop energy storage system solutions for traditional power, renewable generation, smart grids, microgrids, and end-user applications . Her work included technical-economic analysis, construction guidance, and project optimization . She has been a core researcher in multiple national and industry projects, including offshore wind farm DC collector system design , microgrid optimization, seasonal grid load analysis , and integrated energy system efficiency evaluation. Her collaborations with State Grid companies across various provinces enhanced her practical understanding of large-scale energy systems . She also interned at BOE-NCEPU Energy IoT Research Institute on hydrogen storage market studies and cost analysis . Combining industry problem-solving with academic rigor, she has delivered impactful results that connect innovation with real-world energy needs.

Research Interest

Dr. Yaling Sun research interests lie at the intersection of energy systems, optimization, and market mechanisms . Her primary focus is on integrated energy system modeling and analysis  developing mathematical and computational models to optimize the planning, operation, and dispatch of complex energy networks. She also explores energy trading mechanisms , particularly in distributed generation, blockchain-based transactions , and cooperative game-theoretic strategies for resource allocation. Her work extends to battery energy storage systems, offshore wind integration , microgrids, and hybrid energy systems that combine renewable, conventional, and storage resources for maximum efficiency . She investigates the synergy between technological innovation and economic feasibility, aiming to enhance grid resilience, energy efficiency, and carbon reduction . By integrating engineering models with policy and market insights, she contributes to the advancement of smart grid concepts and the sustainable transformation of the energy sector .

Award and Honor 

Dr. Yaling Sun has been recognized for both her academic excellence and leadership . She won the National Second Prize in the “Huawei Cup”  China Graduate Student Mathematical Modeling Competition , showcasing her analytical and modeling expertise . Earlier, she earned the National Third Prize in theChinese College Student Competition on Energy Economics . At Tianjin University, she received the Doctoral Academic Scholarship (Second Prize, twice)  for outstanding research performance. She also holds a Mini MBA Certificate  from the Future Engineers’ Leadership and Innovation Academy. Her leadership is reflected in awards such as Outstanding Student Leader and Outstanding Youth League Cadre . Beyond academics, she was honored as an Excellent Volunteer at the China Electrical Engineering Annual Conference  and the Yantai International Hiking Challenge . These accolades reflect her dedication to both professional excellence and community service .

Research Skill

Dr. Yaling Sun possesses a well-rounded skill set that bridges technical modeling, economic analysis, and project management . She is proficient in integrated energy system planning, technical-economic evaluation, battery energy storage, hydrogen energy applications, and power engineering assessment . Her analytical expertise extends to optimization algorithms, demand response strategies, and game-theoretic modeling . She has strong data analysis capabilities, supported by software proficiency in MATLAB, MS Office, Visio, Origin, and Photoshop . With CET-4 and CET-6 English certification , she can read and write academic literature fluently. She excels at problem-solving, team coordination, and independent research . Her work often involves designing models for large-scale energy systems, performing simulation-based evaluations, and integrating technical solutions with market mechanisms . This combination of engineering knowledge, economic insight, and leadership positions her to contribute innovative solutions to the evolving global energy landscape .

Publication Top Note

Title: Optimal modeling and analysis of microgrid lithium iron phosphate battery energy storage system under different power supply states 
Journal: Journal of Power Sources
Year: 2022
Authors: Yongli Wang, Yaling Sun, Yuli Zhang, Xin Chen, Hekun Shen, Yang Liu, Xinya Zhang, Yunxing Zhang
DOI: 10.1016/j.jpowsour.2021.230931

Conclusion

Dr. Yaling Sun an optimal modeling and analysis approach for microgrid lithium iron phosphate  battery energy storage systems under different power supply states . By incorporating detailed battery characteristics, power supply scenarios, and operational constraints, the model improves the accuracy of performance evaluation and decision-making in microgrid energy management. Simulation results demonstrate that proper scheduling of LiFePO₄ batteries significantly enhances system reliability, energy efficiency, and economic benefits , particularly in scenarios with fluctuating renewable generation. The findings provide practical guidance for the design and operation of safe, efficient, and sustainable microgrid energy storage solutions , supporting broader goals of renewable energy integration and power system resilience .

Weiyu Wang | Electrical Engineering | Best Researcher Award

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Assoc. Prof. Dr. Weiyu Wang | Electrical Engineering | Best Researcher Award

Associate Professor at Changsha University of Science and Technology, China

Dr. Weiyu Wang is an accomplished Associate Professor at the School of Electrical and Information Engineering, Changsha University of Science and Technology, China. He earned his B.S. and Ph.D. degrees in Electrical and Information Engineering from Hunan University, respectively.  He was a Visiting Researcher at the University of Liverpool, U.K., enhancing his expertise in advanced power system stability and control. Since joining CSUST, Dr. Wang has led multiple national and provincial research projects focused on hybrid AC/DC power systems, HVDC technology, and renewable energy integration. and SCI-indexed journal publications, he is a rising figure in the field of electrical power engineering. Recognized as an Outstanding Reviewer by IEEE Transactions on Power Systems in , he continues to advance innovative solutions for modern energy systems.

Professional Profile

ORCID Profile | Google Scholar

Education

Dr. Weiyu Wang  academic journey  is marked by excellence in electrical and information engineering. He obtained his Bachelor of Science degree from Hunan University , where he developed a strong foundation in power systems, electronics, and control theory.  Driven by a passion for advanced research, he continued at Hunan University to pursue his Ph.D. in Electrical and Information Engineering, which he completed in . His doctoral research focused on stability analysis and control of hybrid AC/DC power systems, a cutting-edge area crucial for integrating renewable energy into modern grids. During his Ph.D., he broadened his academic horizon as a Visiting Researcher at the University of Liverpool, U.K, engaging in collaborative international research on oscillation control and HVDC systems.  This diverse educational background provided him with both deep technical knowledge and global perspectives, shaping his expertise in power system innovation.

Experience 

Dr. Weiyu Wang  began his academic career in  as a Lecturer at the School of Electrical and Information Engineering, Changsha University of Science and Technology (CSUST). Within just four years, his significant research contributions and leadership in power systems earned him a promotion to Associate Professor.  He has managed multiple funded projects, including those supported by the National Natural Science Foundation of China and the Hunan Provincial Natural Science Foundation, focusing on hybrid AC/DC system stability, HVDC oscillation control, and renewable energy integration.  In addition to academic research, Dr. Wang has collaborated with State Grid companies on consultancy projects addressing grid stability, energy efficiency, and fire risk assessment for transmission lines. His blend of theoretical expertise and real-world applications positions him as a leading voice in advancing sustainable and intelligent energy systems.

Research Interest

Dr. Weiyu Wang  research interests lie at the intersection of power system stability, control theory, and renewable energy integration. He focuses on stability analysis and hierarchical damping control for hybrid AC/DC power systems , particularly in systems involving multi-terminal HVDC technology. His work addresses challenges in oscillation modeling, synchronization stability, and multi-mode oscillation control   critical for large-scale renewable integration . He also explores distributed damping control strategies to enhance grid resilience, especially in the presence of multiple HVDC systems. His projects extend to equivalent coupled oscillator modeling and cooperative control methods for renewable-rich grids.  This research supports the development of more reliable, flexible, and efficient power systems worldwide.  Dr. Wang’s interdisciplinary approach bridges theoretical analysis, advanced simulation, and real-world grid applications, contributing to global advancements in clean energy transition and smart grid technology.

Award and  Honor

Dr. Weiyu Wang  has earned notable recognition for his contributions to electrical power engineering. He was honored as an Outstanding Reviewer for the prestigious IEEE Transactions on Power Systems, reflecting his expertise and dedication to advancing scholarly research.  His academic achievements are supported by competitive research grants, including the National Natural Science Foundation of China and the Hunan Provincial Natural Science Foundation. He has also played leading roles in consultancy projects with State Grid companies, addressing critical industry challenges in power system stability, energy efficiency, and operational optimization. Beyond research, Dr. Wang’s growing citation record and international collaboration experience underscore his influence in the global academic community.  His rapid promotion to Associate Professor in just four years further reflects his excellence in research, teaching, and engineering innovation.

Research Skill

Dr. Weiyu Wang  research skillset  covers stability analysis, advanced modeling, and intelligent control for modern power systems. He is proficient in multi-mode oscillation detection, hierarchical cooperative damping control, and synchronization stability assessment for renewable-integrated grids.  His expertise extends to multi-terminal HVDC systems, including oscillation characteristic analysis and distributed damping strategy design. He is skilled in equivalent coupled oscillator modeling, enabling accurate simulation of complex grid behaviors.  In industry-focused work, Dr. Wang applies energy efficiency evaluation and operational optimization under carbon trading mechanisms, as well as fire risk assessment for transmission infrastructure.  His technical capabilities are strengthened by hands-on experience with simulation platforms (MATLAB/Simulink, PSCAD) and real-world grid data analysis.  His research blends theoretical rigor, computational modeling, and engineering practicality, making him an asset to both academia and the power industry.

Publication Top Notes

Title: Adaptive droop control of VSC-MTDC system for frequency support and power sharing
Authors: W. Wang, Y. Li, Y. Cao, U. Häger, C. Rehtanz
Journal: IEEE Transactions on Power Systems, 33(2), 1264-1274
Year: 2017
Cited by: 226

Title: A virtual synchronous generator control strategy for VSC-MTDC systems
Authors: Y. Cao, W. Wang, Y. Li, Y. Tan, C. Chen, L. He, U. Häger, C. Rehtanz
Journal: IEEE Transactions on Energy Conversion, 33(2), 750-761
Year: 2017
Cited by: 209

Title: A parameter alternating VSG controller of VSC-MTDC systems for low frequency oscillation damping
Authors: W. Wang, L. Jiang, Y. Cao, Y. Li
Journal: IEEE Transactions on Power Systems, 35(6), 4609-4621
Year: 2020
Cited by: 120

Title: A flexible power control strategy for hybrid AC/DC zones of shipboard power system with distributed energy storages
Authors: L. He, Y. Li, Z. Shuai, J.M. Guerrero, Y. Cao, M. Wen, W. Wang, J. Shi
Journal: IEEE Transactions on Industrial Informatics, 14(12), 5496-5508
Year: 2018
Cited by: 81

Title: A distributed cooperative control based on consensus protocol for VSC-MTDC systems
Authors: W. Wang, X. Yin, Y. Cao, L. Jiang, Y. Li
Journal: IEEE Transactions on Power Systems, 36(4), 2877-2890
Year: 2021
Cited by: 37

Title: A perturbation observer-based fast frequency support for low-inertia power grids through VSC-HVDC systems
Authors: W. Wang, Y. Cao, L. Jiang, C. Chen, Y. Li, S. Li, X. Shi
Journal: IEEE Transactions on Power Systems, 39(2), 2461-2474
Year: 2023
Cited by: 19

Title: Interaction between grid-forming converters with AC grids and damping improvement based on loop shaping
Authors: W. Wang, X. Shi, G. Wu, Y. Cao
Journal: IEEE Transactions on Power Systems, 39(1), 1905-1917
Year: 2023
Cited by: 18

Title: Perturbation observer-based nonlinear control of VSC-MTDC systems
Authors: W. Wang, X. Yin, L. Jiang, Y. Cao, Y. Li
Journal: International Journal of Electrical Power & Energy Systems, 134, 107387
Year: 2022
Cited by: 17

Title: Latin hypercube sampling method for location selection of multi-infeed HVDC system terminal
Authors: X. Li, Y. Li, L. Liu, W. Wang, Y. Li, Y. Cao
Journal: Energies, 13(7), 1646
Year: 2020
Cited by: 12

Title: Inertia estimation of power grid with VSC-MTDC system
Authors: L. Hu, Y. Li, W. Wang, Y. Tan, Y. Cao, K.Y. Lee
Journal: IFAC-PapersOnLine, 51(28), 197-202
Year: 2018
Cited by: 12

Title: Virtual synchronous generator strategy for VSC-MTDC and the probabilistic small signal stability analysis
Authors: W. Weiyu, L. Fang, T. Yi, H. Jinhua, T. Shengwei, L. Yong, C. Yijia
Journal: IFAC-PapersOnLine, 50(1), 5424-5429
Year: 2017
Cited by: 8

Title: Adaptive droop control strategy participating in power grid frequency regulation for VSC-MTDC transmission system
Authors: W.Y. Wang, Y. Li, Y.J. Cao, Z.W. Xu, Y. Tan
Journal: Automation of Electric Power Systems, 41(13), 142-149
Year: 2017
Cited by: 8

Title: Optimal configuration of distributed energy storage considering intending island recovery in faulty distribution networks
Authors: C. Chen, L. Hong, Y. Chen, Q. Tan, L. Li, W. Wang
Journal: International Journal of Electrical Power & Energy Systems, 158, 109982
Year: 2024
Cited by: 7

Title: Flexible voltage control strategy of DC distribution network considering distributed energy storage [J]
Authors: L. He, Y. Li, Y.J. Cao, W. Wang
Journal: Transactions of China Electrotechnical Society, 32(10), 101-110
Year: 2017
Cited by: 6

Title: Modeling and assessing load redistribution attacks considering cyber vulnerabilities in power systems
Authors: X. Shi, H. Guo, W. Wang, B. Yin, Y. Cao
Journal: Frontiers in Energy Research, 11, 1242047
Year: 2023
Cited by: 3

Title: Perturbation estimation based nonlinear adaptive control of VSC flexible excitation system
Authors: N. Yang, Q. Zeng, X. Yin, W. Wang, P. Zeng, L. Jiang
Journal: IET Generation, Transmission & Distribution, 16(13), 2600-2611
Year: 2022
Cited by: 3

Title: 基于虚拟调速器的多端直流虚拟同步机控制策略
Authors: 王炜宇, 李勇, 曹一家, 李欣然
Journal: 中国电机工程学报, 38(12), 3461-3470
Year: 2018
Cited by: 3

Title: Intending island service restoration method with topology-powered directional traversal considering the uncertainty of distributed generations
Authors: C. Chen, Y. Wu, Y. Cao, S. Liu, Q. Tan, W. Wang
Journal: Frontiers in Energy Research, 9, 762491
Year: 2021
Cited by: 2

Conclusion

Dr. Weiyu Wang and collaborators makes significant contributions to the modeling, control, and stability enhancement of VSC-MTDC (Voltage Source Converter–based Multi-Terminal DC) systems and hybrid AC/DC power grids. Across high-impact IEEE journals and other reputable outlets, these studies address core challenges such as adaptive droop control, virtual synchronous generator strategies, low-frequency oscillation damping, and distributed cooperative control. More recent works extend into advanced frequency support for low-inertia grids, nonlinear observer-based control, and cyber-physical security in power systems. The research demonstrates both theoretical innovation and practical applicability, influencing modern grid stability and renewable integration. With multiple highly cited papers, this research portfolio plays a pivotal role in advancing power system resilience and flexibility in the era of decarbonization and increasing renewable penetration

Mrs.Jiawei Yu |Electrical Engineering| Best Researcher Award

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Mrs.Jiawei Yu |Electrical Engineering| Best Researcher

Researcher , Huazhong University of Science and Technology , China

Jiawei Yu 👨‍🔬, born in June 1996 🎂, is a dedicated researcher at the Electric Power Research Institute ⚡ in Guangzhou, China 🇨🇳. With a strong academic background in accounting and electrical engineering 📚🔌, he specializes in real-time simulation and stability analysis of power systems 💡. Passionate about scientific exploration 🔬, Jiawei contributes to safer and more efficient renewable energy integration 🌱🔋. His rigorous work ethic and innovative mindset 🧠 make him a valuable figure in the field of new energy and grid safety 🔧. Jiawei is recognized for advancing power system technologies 🏆.

Professional Profile:

SCOPUS

Education & Experience :

Jiawei Yu completed his master’s degree 🎓 in Accounting and Electrical Engineering from Huazhong University of Science and Technology 🏫 (2018–2021). His research focused on the stability analysis of power systems and new energy control ⚙️🔋. Since July 2021, he has been working as a researcher at the Electric Power Research Institute 🔬, contributing to real-time simulation of large-scale power grids, grid connection testing for renewables, and stability evaluations ⚡🌐. Based in Guangzhou 📍, he brings academic excellence and technical expertise to China’s evolving energy landscape 🇨🇳.

Professional Development :

Professionally, Jiawei Yu focuses on power grid simulation and renewable energy integration ⚡🌿. His key skillset includes expertise in RTDS (Real-Time Digital Simulator) 🖥️, allowing advanced modeling of grid behavior. He has played an essential role in grid connection testing of new energy projects 🚧⚡, ensuring safety and performance. Jiawei consistently demonstrates a rigorous and scientific approach to research 🔍, working at the intersection of innovation, policy, and practical grid operations 🧠💼. His contributions reflect a blend of academic knowledge and industry application, shaping the smart grid future 🌐🔧.

Research Focus :

Jiawei Yu’s research focus lies in electrical engineering and power systems, with emphasis on renewable energy integration, stability analysis, and real-time simulation ⚡🔋. He is deeply involved in testing how new energy sources interact with large grids 🌍 and analyzing their safety and operational impact 🚨. His work supports the transition to green energy through technical innovation and simulation technologies like RTDS 🌱💻. This positions him within Energy Systems Engineering, Smart Grid Development, and New Energy Control Systems 🧠🔧, making him a vital contributor to the modernization of China’s power infrastructure 🇨🇳.

Awards & Honors :

Jiawei Yu has earned prestigious accolades for his groundbreaking work in electrical power research 🥇🔋. In 2022, he received the Outstanding Technical Service Award 🏅 from the China Southern Power Grid Research Institute, honoring his excellence in technical implementation and reliability assurance. In 2023, he was awarded First Prize for Scientific and Technological Progress 🥇, recognizing his contributions to simulation and safety analysis in renewable energy systems 🔬⚡. These honors reflect his commitment to innovation, problem-solving, and the advancement of sustainable energy technologies 🌱🏆.

Publication Top Notes:

1. Hydrodynamic Interactions of Two Ships Advancing Parallelly in the Head and Oblique Seas
2. A Partitioned Functional-Decomposition Scheme for Modelling Wave‑Ship‑Sloshing Interaction
3. Numerical Study on Hydrodynamic Interaction Between Two Parallel Surge‑Released Ships Advancing in Head Regular Waves Based on the Hybrid Method
4. A Frequency Domain Hybrid Green Function Method for Seakeeping and Added Resistance Performance of Ships Advancing in Waves
  • Authors: (Preview did not state authors)
  • Year: 2024
  • Citations: 2 (as per your list)
  • Points:
    • Develops hybrid Green function method in frequency domain
    • Focuses on seakeeping and added resistance analysis
    • Enhances accuracy of motion predictions in wave scenarios
5. Vertical Line Time Domain Green Function and Its Applications in Numerical Simulation of Ship Seakeeping Performance
  • Authors: (Not listed in preview)
  • Year: 2024
  • Citations: 0 (as per your list)
  • Points:
    • Introduces vertical line time-domain Green function
    • Potentially improves time-domain response prediction accuracy
    • Applies it in numerical simulations of seakeeping behavior

Conclusion :

Jiawei Yu exemplifies the qualities of a leading early-career researcher through his innovative contributions to power system simulation and marine hydrodynamics. His work addresses real-world energy challenges using advanced simulation tools and has direct applications in renewable energy grid safety, ship engineering, and sustainable infrastructure. With a growing citation record, multiple impactful publications, and institutional recognition, he stands out as a well-rounded, high-impact researcher deserving of the Best Researcher Award.

Vahideh Bafandegan Emroozi| Engineering | Women Researcher Award

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Dr. Vahideh Bafandegan Emroozi| Engineering | Women Researcher Award

Corresponding Author, Ferdowsi university of Mashhad,Iran

Dr. Vahideh Bafandegan Emroozi is a rising academic with a robust publication record, collaborative outlook, and applied interdisciplinary focus. Her work on supply chain optimization, IoT integration, and human reliability is timely and contributes to both industrial efficiency and sustainable development.

Professional Profile:

Scopus

Google scholar

🎓 Education

Vahideh Bafandegan Emroozi holds a Ph.D. in Industrial Management from Ferdowsi University of Mashhad, Iran (2019–2024), with a remarkable GPA of 19.49 out of 20. Her doctoral thesis focuses on developing a maintenance planning model using the Internet of Things (IoT) while accounting for human error. She earned her M.Sc. in Industrial Management from the same university in 2017, graduating with a GPA of 18.96. She began her academic journey with a B.Sc. in Industrial Engineering at Ferdowsi University, graduating in 2012.

Professional Experience

Dr. Bafandegan Emroozi has served as a research fellow at Sanabad University (2023–2024) and Ferdowsi University of Mashhad (2021–2023). In these roles, she has contributed to various multidisciplinary projects focusing on optimization, reliability, and maintenance strategies within industrial systems.

Skills

She brings a strong technical toolkit that includes programming and modeling in Python, MATLAB, GAMS, Vensim, LINGO, LaTeX, UCINET, and Minitab. She is also proficient in MICMAC and Microsoft Office applications, reflecting a solid foundation in both qualitative and quantitative analysis.

Research Interests

r research spans multiple domains, including supply chain management, optimization, maintenance and reliability, human error analysis, inventory control, system dynamics, and mathematical modeling. Her work often explores the intersection of advanced technologies (e.g., IoT) with human-centered decision-making.

✅ Conclusion

Women Researcher Award: Strongly Recommended. Her academic output, innovative scope, and relevance to modern global challenges make her an excellent candidate. Best Researcher Award: Recommended with Reservations. She is well on her way, but continued growth in citations, funding, and global recognition would strengthen her case in the future.

Publication Top Notes:

  • Modares, A., Kazemi, M., Bafandegan Emroozi, V., & Roozkhosh, P. (2023). A new supply chain design to solve supplier selection based on internet of things and delivery reliability. Journal of Industrial and Management Optimization, 19(11), 7993–8028. Cited by: 39

  • Modares, A., Motahari Farimani, N., & Bafandegan Emroozi, V. (2023). A vendor-managed inventory model based on optimal retailers selection and reliability of supply chain. Journal of Industrial and Management Optimization, 19(5), 3075–3106. Cited by: 32

  • Modares, A., Motahari Farimani, N., & Bafandegan Emroozi, V. (2023). A new model to design the suppliers portfolio in newsvendor problem based on product reliability. Journal of Industrial and Management Optimization, 19(6), 4112–4151. Cited by: 25

  • Bafandegan Emroozi, V., Roozkhosh, P., Modares, A., & Roozkhosh, F. (2023). Selecting green suppliers by considering the internet of things and CMCDM approach. Process Integration and Optimization for Sustainability, 7(5), 1167–1189. Cited by: 19

  • Bafandegan Emroozi, V., & Fakoor, A. (2023). A new approach to human error assessment in financial service based on the modified CREAM and DANP. Journal of Industrial and Systems Engineering, 14(4), 95–120. Cited by: 19

  • Bafandegan Emroozi, V., Kazemi, M., Doostparast, M., & Pooya, A. (2024). Improving industrial maintenance efficiency: A holistic approach to integrated production and maintenance planning with human error optimization. Process Integration and Optimization for Sustainability, 8(2), 539–564. Cited by: 18

  • Modares, A., Motahari, N., & Bafandegan Emroozi, V. (2022). Developing a newsvendor model based on the relative competence of suppliers and probable group decision-making. Industrial Management Journal, 14(1), 115–142. Cited by: 18

  • Bafandegan Emroozi, V., Modares, A., & Roozkhosh, P. (2024). A new model to optimize the human reliability based on CREAM and group decision making. Quality and Reliability Engineering International, 40(2), 1079–1109. Cited by: 16

  • Modares, A., Motahari Farimani, N., & Bafandegan Emroozi, V. (2023). Applying a multi-criteria group decision-making method in a probabilistic environment for supplier selection (Case study: Urban railway in Iran). Journal of Optimization in Industrial Engineering, 16(1), 129–140. Cited by: 15

  • Emroozi, V. B., Kazemi, M., Modares, A., & Roozkhosh, P. (2024). Improving quality and reducing costs in supply chain: the developing VIKOR method and optimization. Journal of Industrial and Management Optimization, 20(2), 494–524. Cited by: 1