Research Area

Nano Energy Materials

Direction of Research:
Focus on the application of nanomaterials in energy. Research and development of advanced energy storage materials and devices such as lithium-ion batteries, sodium-ion batteries, zinc-ion batteries, and all-solid-state electrolytes; Developing high-performance thermal materials for advanced thermal management in microelectronics and optoelectronics; Exploring optoelectronic materials such as quantum dots, organic materials, and perovskites, and their applications in photodetectors, light-emitting diodes, and solar cells; First-principles and molecular dynamics studies on the mechanism of energy materials such as battery materials, photovoltaics, and porous materials.
Focus on:
Graphene-based and other nanomaterials; Thermal management materials and applications; Micro- and nanoscale heat transfer; Multi-scale simulation of energy materials and development of advanced calculation methods; Development of high efficient optoelectronic materials and mechanism investigation;
Core-PIs:
  • Feiyu Kang

  • Junqiao Wu

  • Guodan Wei

  • Kuang Yu

  • Bo Sun

  • Yidan Cao

Environmental Science and Technology

Direction of Research:
To target the fundamental water science and cutting edge technologies in the nexus of water-energy-humen health at global or regional magnitudes. To reveal the newly emerging scientific originals inside water circulation systems. To be devoted to multidisciplinary research combined with water ecology, bio-functional molecules and genes, nano materials, new energy and big data, etc. To acquire new knowledge, to develop new technologies and to promote its application and commercialization. To make effort to solve the global and regional environmental issues, to contribute to sustainable development of the environmental protection industry.
Focus on:
Advanced water and wastewater treatment technologies and fundamentals based on nano materials and functional biomolecules;Water reclamation and resource recovery based on water ecology and human health; Water safety assessment and safeguard based on complex ecological systems;Environmental remediation technologies and management measures based on the sustainable development of the nature and human community;
Core-PIs:
  • Slawomir W. Hermanowicz

  • Hongying Hu

  • Xihui Zhang

  • Xiaoyan Li

  • Yuxiong Huang

Smart Grid and Renewable Energy

Direction of Research:
Smart Grid and Renewable Energy Lab aims at a more intelligent, secure and optimal power system operation and provides fundamental mathematical theory and algorithms. The lab also focuses on planning and operation for Energy Internet and Integrated Energy System (IES), including planning and operation of Transmission/Distribution/Microgrid/IES, development of IEMS (Integrated Energy Management System), application of Artificial Intelligence and Big Data technology etc. In addition, the lab is developing transmission and distribution automatic inspection technology based on online smart devices and expert system, as well as high-voltage external insulation testing & monitoring.
Focus on:
Renewable Energy Technologies and Accommodation; Big Data and Artificial Intelligence in Power System; Smart Micro-grid System; Energy Internet; Multi-Energy Utilization and Optimal Dispatch Technology; Multi-Energy Market and Economy; Active distribution network planning and optimal operation; Cyber Physical Power Systems
Core-PIs:
  • Hongbin Sun

  • Shmuel Oren

  • Scott Moura

  • Liming Wang

  • Wenchuan Wu

  • Qinglai Guo

  • Javad Lavaei

  • Yinliang Xu

  • Xuan Zhang

  • Ye Guo

Intelligent Transportation and Logistics Systems

Direction of Research:
Perform theoretical research and application technology on key factors such as efficiency, safety and environmental protection of transportation, logistic, and industrial systems under systems thinking, optimization, intelligent instruments, and big data technology. Our research concentrates on transportation, logistics, supply chain, big data, social network, and new energy applications. Research topics include transportation management, intelligent vehicle-infrastructure cooperation system and autonomous vehicles, supply chain management and operations management, emergency response, green technologies and sustainability topics. The research methodologies include optimization, mathematical modeling, simulation, data analytics, and network analysis. Being an interdisciplinary team of scientists and professionals, Lab 1D commits to collaborate closely with the industry, discover innovations, solve challenging academic and application problems, and develop new technologies and products.
Focus on:
-Big-Data Analytics and Applications -Agent-based Simulation and Applications -Supply Chain Management and Operations Management -Connected and Autonomous Vehicles -Intelligent Transportation System Integration -Transportation System Planning and Optimization -Real-time Dynamic Traffic Management and Optimization Based on Large-scale Traffic data -High-accuracy and Low-cost Positioning Technologies -Automatic Detection and Analysis of Driving Behavior -EV (Electronic Vehicle) Infrastructure Optimization and EV-Sharing Research
Core-PIs:
  • Max Shen

  • Yi Zhang

  • Lixin Miao

  • Wai Kin Victor Chan

  • Li Xiao

Low Carbon Economy and Financial Risk Analysis Research

Direction of Research:
Focusing on the fields of energy and environmental economics, sustainable urban development and policy analysis, the laboratory carries out a series of research work on such key issues as energy and environmental risk management and green and low-carbon transition of economic development, with methodological approaches of computable general equilibrium, spatial econometric modelling and etc. The research work involves transportation, power and other sectors, and key areas such as the carbon trading market, and will contribute wisdom and strength to the nation's efforts to cope with climate change, to improve energy efficiency, and thus to build new smart cities. In the field of Financial Risk, the lab's research concentrates on Fintech area with bases on Stochastic Mathematics and Algorithmic Game Theory, and endeavors to make a breakthrough in meta-learning, transaction risk assessment, optimal resource allocation and etc.
Focus on:
Carbon Market; Carbon Finance; Spatial Econometric Models;Fintech; Energy-Economic-Environmental System Models;Data Envelopment Analysis
Core-PIs:
  • Ying Kong

Low-Dimensional Materials and Devices

Direction of Research:
Today’s society demands devices not only with high performance, but also multi-functionalities, for example, flexible, transparent, energy-efficient or even self-powered. These requirements challenge the traditional materials due to technological barriers in the fabrication processes, limitations in fundamental physics, as well as intrinsic rigid nature of bulk materials. In this regard, low dimensional materials offer unique advantages to meet the above requirements, and stand as competitive candidates towards next-generation devices which can satisfy multifunctional and sustainable energy requests. In the LDMD laboratory, the major targets will be developing new low-dimensional materials and devices with multi-functionalities such as flexibility, portability and smartness, and exploring their applications in energy conversion and storage, electronics and opto-electronics, biological sensing and human–computer interaction.
Focus on:
Low dimensional materials ; Energy, electronic, optoelectronic devices; Flexible devices;
Core-PIs:
  • Hui-Ming Cheng

  • Bilu Liu

  • Xiaolong Zou

  • Ling Qiu

  • Jie Yao

  • Xiaomin Xu

  • Guangmin Zhou