Welcome to the
Artificial Intelligence Research group
In the journey of academic research, the collision of ideas with the top experts in the industry can often ignite the spark of innovation. Our thesis knowledge platform is designed to build a bridge to the wisdom of the industry for researchers who desire in-depth academic dialogue.
Reliable team
The founder team of doctors and postdocs from top universities at home and abroad is committed to the industry-university-research integrated service system.
Excellent works
Each paper has gone through the three-dimensional quality inspection of "double blind review + model review + practice repetition" by authoritative experts in the field.
Careful guidance
The think tank team composed of experts in various fields has a comprehensive knowledge reserve and rich practical experience.
Our research
1. Intelligent disassembly line system optimization
Promote product life cycle management, improve the resource utilization rate of industrial waste from the source, and support the construction of zero-waste factories:
2. Distributed manufacturing network
Promote product life cycle management, improve the resource utilization rate of industrial waste from the source, and support the construction of zero-waste factories:
3. Intelligent logistics distribution system
By building a logistics network of “spatial trivialization + service precision”, we provide reliable solutions for time-sensitive areas such as medical emergency and fresh cold chain:
4. Quantum intelligent computing
Provides exponential acceleration possibilities for industrial optimization problems at the scale of hundreds of millions of variables:
5. Industrial large language model
Promote the transformation of manufacturing industry from “experience-driven” to “knowledge-driven” :
6. Online real-time scheduling system
Combine the real-time optimization scheduling strategy with the rolling time domain algorithm to achieve efficient, intelligent and risk-resistant real-time decision-making and dynamic adjustment:
7. Big data analytics
Open up the “data-information-decision” transformation chain to increase the proportion of data-driven decisions in manufacturing systems:
8. Artificial Intelligence
Overcome the triple technical bottlenecks of algorithm generalization, explainability and real-time in industrial scenes:
"If you are interested in our research topics or have any needs during the course of conducting research, please feel free to contact us. We will be happy to provide you with professional and meticulous guidance and support."
server@hopeembark.org
Thesis guidance
Relying on the collaborative work mechanism of interdisciplinary tutor teams, the three-level quality assurance system of “problem diagnosis – program optimization – quality control” has been established. Aiming at the common pain points in thesis writing, we provide structured writing training and academic language polishing services; At the level of academic norms, the whole process compliance review mechanism from data traceability to citation system is built; At the same time, it is equipped with subject-specific resource library, integrating classic literature and cutting-edge results analysis tools in the field.
Achievement presentation
Qin Shujin: 2024, the 10th Shuwei Cup International College Students Mathematical Modeling, M Award (International First Prize)
Qin Shujin: In 2024, the fifth MathorCup Mathematics Application Challenge – Big Data Competition, the national second prize
Qin Shujin: In 2024, the 14th Mathorcup Mathematical Application Challenge, the National second Prize, Bose Quantum Computing Application Award, 10,000 CNY
Qin Shujin: In 2024, the 14th APMCM Asia-Pacific College Students Mathematical Contest in Modeling won the international second prize
Qin Shujin: In 2023, the 9th Baidie Cup Logistics Simulation Design Competition, the national first prize
Qin Shujin: In 2023, the 13th MathorCup University Mathematical Modeling Challenge, the national second prize
Qin Shujin: In 2023, the fourth MathorCup University Mathematical Modeling Challenge — Big Data Competition, the national first prize
Qin Shujin: In 2022, the third Wasu Cup National College Students Mathematical Contest in Modeling won the first prize
Qin Shujin: In 2022, the 12th MathorCup University Mathematical Modeling Challenge, the national first prize
Qin Shujin: In 2022, the 38th American College Students Mathematical Contest in Modeling, H Award (Second Prize)
Qin Shujin: In 2022, Higher Education Society Cup National College Students Mathematical Modeling Competition, the national second prize
Wang Xu: In 2022, the first prize of the ninth “Xuechuang Cup” National College Students’ Entrepreneurship Comprehensive Simulation Competition in Hebei Province
Wang Xu: In 2021, won the second prize in the provincial competition of the 8th “Xuechuang Cup” National College Students Entrepreneurship Comprehensive Simulation Competition in 2021
… …
Wang Xu: In 2023, the third prize of the 11th Social Science Achievement Award of Qinhuangdao City.
Wang Xu: In 2020, the second prize of key applied research achievements of social sciences in Qinhuangdao City.
Do not change the original heart, insist on doing better
We not only teach paper publishing skills and systematic scientific research methods, but also devote ourselves to inheriting thinking paradigms and cognitive tools in academic running. Through the sharing of experience throughout the process, researchers are helped to break through knowledge barriers and establish a transferable academic insight system, so that every breakthrough becomes the cornerstone of lifelong growth.