Xi’an Jiaotong university | China
Profile
Scopus
📍Current Position
Fangfang Cao is a dual PhD candidate specializing in Operations Management and Intelligent Optimization. She is affiliated with both Ghent University, Belgium, and Xi’an Jiaotong University, China. At Ghent University, she collaborates within the Department of Business Informatics and Operations Management, guided by Professor Mario Vanhoucke. Simultaneously, she contributes to cutting-edge research in the Department of Operations Management and Industrial Engineering at Xi’an Jiaotong University, under the supervision of Professor Zhengwen He.
📝Publication Achievements
Fangfang’s research productivity is remarkable, with numerous publications in prestigious international journals: “A Buffer Allocation Evolutionary Algorithm for Resource-Constrained Projects with Activity Clusters” – Submitted to Journal of Scheduling. “Cluster-Based Proactive-Reactive Project Scheduling” – Published in IEEE Transactions on Evolutionary Computation. “Multi-Mode Reactive Project Scheduling Optimization” – Featured in Operations Research and Management.
🔍Ongoing Research
Fangfang is currently involved in innovative projects such as: Green Scheduling Optimization: Focused on carbon regulation and eco-friendly practices for complex engineering projects. Big Data Agile Scheduling: Leveraging data-driven models to optimize advanced manufacturing processes. Integrated Resource-Constrained Project Portfolio Selection and Scheduling Problems (RCPPSSP): Developing optimization models to manage interdependencies among projects.
Fangfang’s research interests lie at the intersection of operations research and intelligent optimization, particularly: Optimization under uncertainty and risk management. Large-scale optimization with applications in project scheduling and job scheduling. Designing heuristic and exact algorithms for real-world problems, with an emphasis on creating efficient solvers for industry use.
🎓Academic Background
Fangfang holds an impressive academic portfolio: PhD (Ongoing): Operations Management (Ghent University) & Management Science and Engineering (Xi’an Jiaotong University). M.Sc: Management Science and Engineering (Xi’an Jiaotong University). B.Sc: Information Management and Information Systems (Shanxi University of Finance and Economics).
🏆Scholarships and Awards
Fangfang has been recognized for her academic excellence through prestigious awards: First Prize for Overseas Visiting Scholarship Award (2023).Outstanding Graduate Student Award (2020). National Scholarship and Inspirational Scholarship during her undergraduate years.
🧬Bioinformatics
Fangfang is proficient in programming languages like Python, C++, and Java. Her technical expertise spans optimization modeling, algorithm development, and data-driven decision-making. These skills enable her to contribute effectively to projects involving bioinformatics and advanced computational techniques.
🌐Professional Associations
As a member of international conferences and workshops, Fangfang has presented her research at prestigious events such as the 18th International Conference on Project Management and Scheduling. Her active engagement with global academic communities has broadened her professional network and enhanced her expertise.
📚Training & Workshops
Hands-on experience in AI algorithms and digital analytics through internships with Midea Group and Sophia Group. Attended workshops on Innovation Management and Digital Technology Applications.
🎤Oral Presentations and🗣️Thought Leadership
Fangfang has delivered impactful presentations on topics like dynamic project scheduling and risk management in major scientific projects. These experiences showcase her ability to communicate complex ideas effectively and engage with diverse audiences.
🧑🔬Tasks Completed as a Researcher
Fangfang’s contributions include: Designing optimization methods for scheduling problems. Drafting project proposals and conducting field studies. Developing innovative algorithms for multi-project management and scheduling.
🚀Success Factors
Fangfang’s success stems from her strong analytical skills, interdisciplinary expertise, and ability to address real-world challenges. Her collaborative spirit and dedication to research excellence further distinguish her as a leading scholar in her field.
🧪Publications & Laboratory Experience
With over 12 high-quality publications and hands-on experience in optimization modeling, Fangfang has established herself as a prolific researcher. Her lab work focuses on integrating data-driven techniques with optimization algorithms to solve complex scheduling problems.
🔍 Conclusion
Fangfang Cao’s academic journey is a testament to her commitment to advancing operations research and optimization techniques. With a strong foundation in theory and practice, she is poised to make significant contributions to sustainable and intelligent project management solutions. Her dedication, combined with her technical expertise, ensures a bright future in academia and beyond.
Publications