Haoqing Sun is a dedicated and innovative researcher specializing in logistics optimization and sustainable delivery solutions. His work primarily focuses on enhancing the efficiency and environmental sustainability of logistics systems, particularly in the fresh food industry. By leveraging advanced algorithms and multi-objective optimization models, he addresses key challenges in logistics, such as reducing costs, improving delivery efficiency, and minimizing carbon emissions. Sun’s research is widely recognized in academic circles, and his work has been published in top journals. He is also actively involved in leading various research projects and academic competitions. Sun is known for his strong leadership skills and commitment to exploring new technological solutions in logistics.
Professional Profile
Education:
Haoqing Sun is currently pursuing a Master’s degree in Logistics Engineering and Management at the School of Business Administration, Liaoning Technical University, where he has been studying since September 2022. He works under the supervision of Professor Manhui He, focusing on path optimization and heuristic algorithms. Before this, he completed his undergraduate studies in Tourism Management at Dalian University, where he gained a solid foundation in business and management principles. Sun’s academic journey reflects a blend of technical and managerial skills, positioning him as an emerging expert in logistics optimization.
Professional Experience:
Haoqing Sun’s professional experience includes academic research and leadership roles in various projects and competitions. He has served as the team leader for significant academic modeling competitions, including the “数维杯国际建模挑战赛” (Mathematical Modeling and Optimization of Washing Processes), where his team won a national second prize. In addition to his research, Sun has taken on leadership roles, such as the Learning Officer at Liaoning Technical University’s School of Business Administration. His entrepreneurial spirit is also demonstrated through a successful startup during his undergraduate years, where he was responsible for sourcing, sales, and logistics operations of sneakers.
Research Interests:
Haoqing Sun’s research interests are centered around logistics optimization, with a particular focus on improving the efficiency and sustainability of fresh food logistics. His work addresses key challenges in this field, including reducing environmental impact, optimizing delivery routes, and minimizing operational costs. He is particularly interested in multi-objective optimization models that balance various factors such as transportation costs, carbon emissions, and time constraints. Sun’s research also explores the integration of electric vehicles and drones in logistics, aiming to create more efficient and environmentally friendly delivery systems for rural and urban areas.
Research Skills:
Haoqing Sun has developed a strong skill set in optimization techniques, particularly in the application of heuristic algorithms for logistics path optimization. He is proficient in multi-objective optimization, utilizing algorithms such as the improved adaptive multi-objective ant colony algorithm to solve complex logistics problems. Sun is also skilled in data analysis and mathematical modeling, with a solid understanding of k-means++ clustering and robust optimization. His research involves both theoretical and practical aspects, with a strong emphasis on applying his findings to real-world logistics scenarios. Additionally, he has experience in leading collaborative research projects, demonstrating his ability to work effectively in team environments.
Awards and Honors:
Haoqing Sun has received several prestigious awards for his academic and research accomplishments. Notably, he won the national second prize at the “数维杯国际建模挑战赛” (International Mathematical Modeling Challenge), where he led his team in optimizing washing processes for efficiency and resource consumption. In addition to this, Sun has been recognized with the Graduate Second-Class Scholarship at Liaoning Technical University, awarded to the top 25% of students. His research papers have been accepted by high-impact journals and conferences, including “Mathematics” (JCR Q1) and ICMSEM (EI), further underscoring his academic excellence and contributions to the field of logistics optimization.