ASIASIM

Featuring Leading Beihang Faculty

This July Summer

Explore the Frontiers of System Modeling and Simulation

SIMULATION

Simulation for Everything

Simulation Lights the Future

From July 13 to 17, 2026, the ASIASIM International Summer School was officially launched in Hangzhou. Over 60 young participants from more than 10 countries and regions gathered at Beihang Unversity Hangzhou International Campus, embarking on an exploration journey centered on “System Modeling and Simulation”. The program aims to bridge disciplines, connect emerging technologies with research practices, and inspire young talents through international academic exchange.

As one of ASIASIM’s key international talent development programs, the summer school stands out not only for its systematic curriculum but also for its integration of research resources from Beihang University and the Hangzhou International Innovation Institute. It showcases cutting-edge simulation achievements across fields including aerospace, artificial intelligence, communication networks, intelligent manufacturing, and the metaverse. Through expert lectures, hands-on activities, and interdisciplinary exchanges, participants are able to explore real-world applications of simulation technology, understand the meaning behind “Simulation for Everything”, broaden their research horizons, and discover new possibilities for innovation in the intelligent era.

Summer School 

Let's Go!

Supported by Beihang’s Research Resources
Featuring Leading Experts in the Field

David Lopez-Perez

Dean of the Chinese-Western Intelligent Technology School, Beihang University
Expert in Wireless Communication and Networking

The course explores 6G deployment design in the FR3 frequency band, focusing on the integration of ultra-large-scale MIMO and AI-driven digital twin frameworks for future mobile communication networks. Using an open-source simulation platform calibrated with real commercial network data from China, the course demonstrates significant improvements in user throughput while maintaining energy efficiency. It also highlights the role of digital twins as a key tool for future network planning and intelligent communication system design.

Professor Quan Quan
Professor at the School of Automation Science and Electrical Engineering, Beihang University, and Tianmushan Laboratory
Research areas include reliable flight control theory, unmanned aerial vehicle (UAV) systems, and intelligent autonomous flight.

The course focuses on “UAV Systems and Simulation Technology”. It explores autonomous decision-making and control requirements of UAV systems in complex mission environments through typical application scenarios such as disaster emergency response, search and rescue, and environmental monitoring. The course also introduces simulation verification methods including Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL), as well as a UAV 3D positioning and control experimental platform based on a multi-camera motion capture system. Through these high-precision simulation environments, the course demonstrates how flight control algorithms, formation flight, and GPS-free autonomous navigation technologies can be tested and validated, providing a safe and efficient approach for unmanned system development.

Professor Xiaofeng Ding
Professor and PhD Supervisor at the School of Automation Science and Electrical Engineering, Beihang University
His research focuses on advanced special electric motor systems and high-performance motor drive control.

The course focuses on the design and simulation of advanced special electric motor systems. It introduces the structural design, drive control, and application scenarios of high-performance motors, including Interior Permanent Magnet Synchronous Motors (IPMSM) and Synchronous Reluctance Motors (SynRM). The course highlights efficient control strategies for electric drive systems in new energy vehicles, including Maximum Torque per Ampere (MTPA), Maximum Torque per Voltage (MTPV), and field-weakening control methods to optimize motor performance under different operating conditions. It also demonstrates integrated simulation approaches covering electromagnetic design, control algorithms, system optimization, wide-bandgap power devices, inverter loss optimization, and thermal management control.

Professor Zhigeng Pan
Director of the Metaverse and Embodied Intelligence Laboratory, Hangzhou International Innovation Institute, Beihang University
His research focuses on virtual reality, computer graphics, and human-computer interaction.

The course focuses on metaverse research empowered by intelligent technologies. It introduces key technologies involved in the metaverse, including blockchain, intelligent interaction, computer graphics, artificial intelligence, network computing, and the Internet of Things (IoT). Through representative application scenarios such as the Education Metaverse, Cultural Metaverse, Military Metaverse, and Medical Metaverse, the course explores the future applications of AI technologies in integrated virtual-real environments.

Professor Haiwen Ge
Professor at the International Carbon Neutrality Research Center, Hangzhou International Innovation Institute, Beihang University
He has extensive research experience in complex thermo-fluid modeling, simulation, and optimization.

The course introduces mathematical modeling, numerical simulation, and optimization methods for complex thermo-fluid systems. Starting from first principles, it covers the modeling and solution of multiphysics problems, including reactive flows, multiphase flows, and discharge arcs. By integrating regression analysis, artificial intelligence models, and optimization algorithms, the course demonstrates the value of simulation technology in product design and process optimization.

Associate Professor Luiz Pereira
Associate Professor at Hangzhou International Innovation Institute, Beihang University, and Humboldt Research Fellow
His research focuses on physical modeling and simulation of glass, melts, and ceramic materials.

The course introduces physical modeling and simulation methods for glass materials, covering topics such as glass transition dynamics, microstructure evolution, and the relationship between composition, structure, and material properties. Through case studies including industrial window glass, natural volcanic glass, lunar glass, and nuclear waste immobilization, the course demonstrates the interdisciplinary value of material simulation. By combining theoretical analysis, numerical simulation, and experimental validation, it highlights the applications of simulation technology in everyday materials, geological research, and advanced manufacturing.

Associate Professor Muhammad Umar Farooq Qaisar
Associate Professor at Hangzhou International Innovation Institute, Beihang University
His research focuses on the Internet of Things (IoT), wireless sensor networks, intelligent connectivity, and UAV communication systems.

The course focuses on “Intelligent Connectivity and Autonomous Systems”. It provides an overview of edge-cloud collaborative computing architectures in the transition from Industry 4.0 to Industry 5.0, and introduces the applications of multimodal sensing, Industrial Internet of Things (IIoT) communication protocols, and low-latency networking technologies in intelligent systems. The course further explores typical applications of digital twins in intelligent manufacturing, including virtual commissioning and predictive maintenance. Through case studies on swarm intelligence, multi-agent collaborative control, and UAV communication networks, it demonstrates multi-scale modeling and simulation methods ranging from microscopic manufacturing processes to large-scale autonomous system operations.

Associate Professor Xin Wang
Associate Professor at the Department of Industrial Design, School of Mechanical Engineering and Automation, Beihang University
He has long been engaged in industrial design education and practice, and has participated in multiple aerospace product design projects.

The course focuses on the theme of “Natural Biology × Simulation Art”, exploring the simulation of terrestrial plant forms while integrating natural science, design practice, and cross-cultural expression. Within a limited timeframe, participants will complete creative works with exhibition value, experiencing the integration of simulation technology and artistic design through hands-on creation.

Broaden Horizons · Connect Opportunities · Explore the Frontiers

The summer school is supported by Beihang University’s strong research foundation and academic expertise. It brings together leading experts from diverse fields, including communication networks, intelligent control, unmanned systems, artificial intelligence, material simulation, and the metaverse, providing participants with comprehensive and cutting-edge courses in system modeling and simulation.

Beyond classroom learning, participants will visit research laboratories and innovation platforms at Hangzhou International Innovation Institute, Beihang University. Through research visits and exchanges with experts, they will gain deeper insights into frontier technologies and real-world research environments. Leveraging Beihang’s high-quality research resources, the 2026 ASIASIM International Summer School provides an important platform for young talents to broaden their perspectives in simulation, explore future research directions, and connect with the forefront of technological development.

Disclaimer:
The purpose of sharing this article is to provide more information and does not represent the official position of this public account. If there are any issues related to the article, images, opinions, text content, copyright, or other matters, please contact this account within 30 days. We will promptly make corrections or remove the relevant content if necessary. This public account reserves the final right of interpretation regarding this statement.