Decoding Intelligence, Illuminating the Future
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
- Shujin Qin: 2024, 10th Digital V Cup International Undergraduate Mathematical Modeling Contest, M Award (International First Prize)
Shujin Qin: 2024, 5th MathorCup Mathematical Applications Challenge—Big Data Competition, National Second Prize
Shujin Qin: 2024, 14th MathorCup Mathematical Applications Challenge, National Second Prize, Bose Quantum Computing Application Award, 10,000 CNY
Shujin Qin: 2024, 14th APMCM Asia-Pacific Mathematical Contest in Modeling, International Second Prize
Shujin Qin: 2023, 9th Baidie Cup Logistics Simulation Design Competition, National First Prize
Shujin Qin: 2023, 13th MathorCup College Mathematical Modeling Challenge, National Second Prize
Shujin Qin: 2023, 4th MathorCup College Mathematical Modeling Challenge—Big Data Competition, National First Prize
Shujin Qin: 2022, 3rd Huashu Cup National Undergraduate Mathematical Modeling Contest, National First Prize
Shujin Qin: 2022, 12th MathorCup College Mathematical Modeling Challenge, National First Prize
Shujin Qin: 2022, 38th American Undergraduate Mathematical Modeling Contest, H Award (Second Prize)
Shujin Qin: 2022, Higher Education Society Cup National Undergraduate Mathematical Modeling Contest, National Second Prize
Xu Wang: 2022, 9th “Xuechuang Cup” National College Student Entrepreneurship Simulation Competition Hebei Provincial Selection—Entrepreneurship Simulation Track First Prize
Xu Wang: 2021, 8th “Xuechuang Cup” National College Student Entrepreneurship Simulation Competition Provincial Second Prize
… …
Xu Wang: 2023, Third Prize, 11th Qinhuangdao Social Science Achievement Awards
Xu Wang: 2020, Second Prize, Qinhuangdao Key Applied Social Science Research Project Achievement Awards
Team
Jiacun Wang
Professor of computer science and software engineering at Monmouth University, West Long Branch, New Jersey, USA
Shixin Liu
Professor of the College of Information Science and Engineering, Northeastern University, Shenyang, China
Xiwang Guo
Associate professor of the College of Computer and Communication Engineering at Liaoning Petrochemical University
Jing Bi
Professor with the College of Computer Science, Beijing University of Technology, Beijing, China
Zhiwu Li
Founding Chair of the Xi'an Chapter of IEEE Systems, Man, and Cybernetics Society
Haibin Zhu
Founding Director of the Collaborative Systems Laboratory
Hui Yu
Professor with the University of Glasgow
Xiaoou Li
Professor in the Department of Computer Science at the National Polytechnic Institute of Mexico
Ying Tang
Professor of Electrical and Computer Engineering at Rowan University
Guanjun Liu
Professor with the Department of Computer Science, Tongji University
Weitian Wang
Associate Professor in the School of Computing and the Founder Director of the Collaborative Robotics and Smart Systems Laboratory (CRoSS Lab) at Montclair State University
Bin Hu
Assistant Professor with Xi'an University of Posts and Telecommunications, Xi'an
Qinghua Zhu
Associate professor with the School of Computer Science and Technology at Guangdong University of Technology, Guangzhou, China
Xilong Liu
Associate Professor (doctoral advisor) in the School of Information Science and Engineering at Yunnan University
Luobin Cui
Ph.D. degree in Electrical and Computer Engineering at Rowan University
Guipeng Xi
Ph.D. degree in Northwestern Polytechnical University
Tingting Wei
Ph.D. degree in Mechanical Engineering at Dalian University of Technology, Dalian, China
Haitao Yuan
Associate Professor at the School of Automation Science and Electrical Engineering at Beihang University, Beijing, China
Liang Qi
Lecturer of Computer Science and Technology at Shandong University of Science and Technology, Qingdao, China
Yuanyuan Tan
Associate Professor with the School of Information Science and Engineering, Shenyang University of Technology
Xu Wang
Associate Professor of Computer Science and Technology at Shenyang University of Chemical Technology
Jian Zhao
Associate Professor of School of Science at University of Science and Technology Liaoning
Shujing Qin
Lecturer of Shangqiu Normal University, Shangqiu, China
Yingjun Ji
Lecturer of Faculty of Information at Liaoning University, Shenyang, China
Qi Zhang
Lecturer of the College of Information Engineering at Shenyang University of Chemical Technology
Ziyan Zhao
Assistant Professor of Northeastern University, Shenyang, China
Shen Yan
Lecturer of the School of Science, Shenyang University of Technology, Shenyang, China
Zhenlu Qin
Assistant Professor in the Department of Computer Science & Computer Information Systems at Auburn University at Montgomery
XIAOYU SEAN LU
Assistant professor with the School of Cyber Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu Province, China
Shaokang Dai
Liaoning Petrochemical University
Feng Guo
Ph.D. degree in Dalian University of Technology
Ronghe Zhou
Ph.D. degree in Control Science and Engineering from University of Science and Technolygy Liaoning
Qingbo Meng
Ph.D. degree in Hebei University of Technology
Chenyang Fan
Ph.D. degree in Southeast University
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.