Aimin Zhou

2004.10-2009.06：Ph.D. in Computer Science, University of Essex, UK

2003.09-2004.09：Ph.D study in Computer Science, Wuhan University, China

2001.09-2003.06：Master in Computer Science, Wuhan University, China

1997.09-2001.06：Bachelor in Computer Science, Wuhan University, China

2025.03-：Shanghai Innovation Institute, Full-time Mentor

2016.12-：East China Normal University, Professor

2012.12-2016.12：East China Normal University, Associate Professor

2009.06-2012.12：East China Normal University, Lecturer

Professor Aimin Zhou is the Director of the Shanghai Institute of Artificial Intelligence for Education at East China Normal University and a full-time mentor at Shanghai Innovation Institute. He formerly served as the Dean of the School of Computer Science and Technology at East China Normal University. He is the Principal Investigator of the Shanghai Peak Discipline Category IV: “Intelligent Education” and leads the Shanghai Major Research Task: “Educational Large Language Model”.  His primary research areas include Artificial Intelligence and Intelligent Education. He has published more than 80 peer-reviewed papers, with over 13,000 cumulative citations on Google Scholar.  He has been honored with numerous awards and titles, including:  

1. Shanghai Eastern Scholar Leading Talent Program

2. First Prize of Shanghai Natural Science Award

3. Baosteel Outstanding Teacher Award

4. Excellent Teacher Award for Computer Science in Chinese Universities

5. Second Prize of Shanghai Higher Education Outstanding Teaching Achievement

6. Elsevier China Highly Cited Researcher (2020–2025)

1. Large Language Models

2. Agent Systems

3. Evolutionary Optimization and Learning

4. Intelligent Education

5. AI for Science

Prospective high school and undergraduate students interested in the above research areas are welcome to join our team for research internships. Students from diverse academic backgrounds are encouraged to apply, provided they demonstrate strong initiative and the ability to generate meaningful contributions. Our team offers 1000+ GPUs, as well as comprehensive technical guidance throughout the entire process of large language model training and agent system development. For more information, please visit the official WeChat account, GitHub page of the Shanghai Institute of Artificial Intelligent for Education at East China Normal University, and Shanghai Innovation Institute.  

We also welcome applications from prospective master’s students in Artificial Intelligence, PhD students in Computer Science, and postdoctoral researchers and young scholars interested in joining the Shanghai Institute of Artificial Intelligent for Education. Please contact us via email for further details.

1. Artificial Intelligence, 2010-2026

2. Road of Artificial Intelligence, 2022-2026

3. Introduction to Computer Science, 2022-2024

4. Artificial Intelligence for Education, 2022-2023
   

5. Selected Topics in Artificial Intelligence, 2021

6. AIoT System, 2021

7. Frontier of Artificial Intelligence, 2018-2020

8. Computational Intelligence, 2012-2016

9. Optimizaiton Method, 2016-2017

10. Windows Programming, 2012

11. Practial Programming, 2010-2012

[8] Development of Educational Large Language Model.

[7] Data Driven and Knowledge Guided Interpretable Modeling Technology, Science and Technology Commission of Shanghai Municipality, 2019-2022.

[6] Big Data Oriented Fast Magnetic Resonance Imaging, Natural Science Foundation of China (NSFC), 2018-2022.

[5] Model Assisted Evolutionary Multiobjective Optimization and Its Applications, Natural Science Foundation of China (NSFC), 2017-2020.

[4] Recombination Operators based on Learning Techniques for Evolutionary Multiobjective Optimization, Natural Science Foundation of China (NSFC), 2013-2016.

[3] Research and Development of Portable Raman Spectrometer, China National Instrumentation Program, 2013-2016

[2] Information Extraction and Fast Change Detection from Multi-source Heterogeneous Dataset, National Basic Research Program of China (973 Program), 2011-2015.

[1] Estimation of Distribution Algorithms for Multiobjective Traveling Salesman Problems, Natural Science Foundation of China (NSFC), 2011.

Selected Papers:

Google Scholar: http://scholar.google.com/citations?user=E4GQv5cAAAAJ&hl=en

DBLP: https://dblp.uni-trier.de/pers/hd/z/Zhou:Aimin

Thesis:

[1] PhD Thesis: Estimation of distribution algorithms for continuous multiobjective optimization, University of Essex, 2009, Supervisors: Prof. Qingfu Zhang, Prof. Edward Tsang, Prof. Yaochu Jin (Honda Research Institute Europe), and Dr. Bernhard Sendhoff (Honda Research Institute Europe).

[2] Master Thesis: Evolutioanry Modeling and Its Applications, Wuhan University, 2003, Supverisor: Prof. Lishan Kang.