SciTransfer
Organization

SOUTHEAST UNIVERSITY

Chinese research university contributing AI, smart grid, and chemical process engineering expertise to EU projects as a third-party partner.

University research groupmultidisciplinaryCNThin data (2/5)
H2020 projects
4
As coordinator
0
Total EC funding
Unique partners
53
What they do

Their core work

Southeast University (SEU) in Nanjing is a major Chinese research university contributing specialist knowledge in chemical process engineering, smart energy systems, and AI-driven manufacturing to European research consortia. Their work spans computer-aided process design for petrochemicals, carbon capture and CO2 utilisation, smart grid technologies including demand response and virtual power plants, and vehicle emissions reduction. They participate exclusively as a third-party or international partner, bringing Chinese research capacity and industrial context to EU-funded projects.

Core expertise

What they specialise in

Smart manufacturing and AI-driven process controlprimary
1 project

OPTIMAL project applies artificial intelligence and machine learning to ethylene manufacturing with carbon capture and CO2 utilisation.

Smart grid and demand response systemsprimary
1 project

TESTBED2 project focuses on smart grids, demand response, and virtual power plant technologies.

Chemical process engineeringsecondary
2 projects

Both FLEXI-PYROCAT (waste plastics pyrolysis-catalysis) and OPTIMAL (olefin production process design) involve chemical process expertise.

Vehicle emissions and driver behavioursecondary
1 project

MODALES project addresses modifying driver behaviour to reduce emissions, involving OBD systems and awareness campaigns.

Waste plastics recycling via catalysissecondary
1 project

FLEXI-PYROCAT develops flexible pyrolysis-catalysis processing of waste plastics for selective product recovery.

Evolution & trajectory

How they've shifted over time

Early focus
Emissions and waste processing
Recent focus
AI-driven smart energy and manufacturing

SEU's early H2020 involvement (2015–2019) centred on environmental chemistry — waste plastic recycling and vehicle emissions reduction. From 2020 onward, the focus shifted decisively toward digitally-enabled industrial systems: smart grids, AI and machine learning for process control, and computer-aided design for carbon-neutral chemical manufacturing. This trajectory shows a university moving from traditional environmental engineering toward the intersection of artificial intelligence and industrial decarbonisation.

SEU is building strength at the AI-industrial decarbonisation nexus, making them a strong future partner for projects combining machine learning with green chemistry or smart energy infrastructure.

Collaboration profile

How they like to work

Role: third_party_expertReach: Global18 countries collaborated

SEU participates exclusively as a third party or international partner — they have never coordinated or been a direct participant in an H2020 project. This is typical for non-EU universities operating under MSCA-RISE staff exchange schemes. With 53 unique consortium partners across 18 countries, they maintain a broad but non-leading network, offering specialist contributions without taking on project management responsibilities.

SEU has collaborated with 53 distinct partners across 18 countries, a wide network for only 4 projects. This breadth comes from large MSCA-RISE consortia that facilitate researcher exchange between European and Chinese institutions.

Why partner with them

What sets them apart

As a top-tier Chinese university with active EU research links, SEU offers something few European partners can: direct access to Chinese industrial context, manufacturing scale, and research talent in process engineering and AI. For consortium builders needing a credible Chinese partner with proven H2020 track record in energy systems or smart manufacturing, SEU is an established choice. Their MSCA-RISE experience also means they understand EU project structures and reporting requirements.

Notable projects

Highlights from their portfolio

  • OPTIMAL
    Combines AI/machine learning with carbon capture and CO2 utilisation for olefin production — a timely convergence of decarbonisation and Industry 4.0.
  • TESTBED2
    Addresses scalable smart grid deployment with demand response and virtual power plants — directly relevant to the EU-China clean energy agenda.
  • FLEXI-PYROCAT
    Tackles waste plastics recycling through pyrolysis-catalysis, connecting circular economy goals with chemical engineering expertise.
Cross-sector capabilities
energymanufacturingenvironmentdigital
Analysis note: Only 4 projects, all as third party with no direct EC funding recorded. Profile is based on limited data — expertise areas are real but breadth and depth may be understated. SEU is a large university (30,000+ students) with far more research activity than what appears in H2020 records alone.