Nanjing Normal University · Interdisciplinary Intelligence
KOMABA GrouP advances AI for Science and interdisciplinary intelligence through interpretable, verifiable methods.
From catalysis and proteins to reliable recognition and research agents,
we connect algorithms with applications through real scientific problems.
Move the pointer to rotate the view ↔Copper Catalysis & Reaction Mechanisms
Starting with adsorbed molecules and local configurations, we investigate structures and mechanisms in copper-based electrocatalysis, connecting catalyst design, process visualization, and machine learning.
Perception, Change & Reliability
We study reliable computer vision in real-world settings, seeking robust recognition when models encounter unknown classes and distribution shifts.
Knowledge, Planning & Autonomous Action
We explore large language models for science and engineering through domain knowledge, task planning, and multi-agent collaboration.
Knowledge Of Machine Analogies for Boundary-spanning Abstraction
We bring machine learning into materials, chemistry, and the life sciences, where algorithms are tested on real problems and become part of scientific discovery.
An additional 1 PhD student and 26 master’s students from partner teams participate in our research.
Names in red: female members
Our collaborations bring computational methods to real scientific problems, giving students hands-on experience in interdisciplinary publications, projects, and competitions.
Long-Term On-Campus Partnerships
Joint research on catalysis, proteins and drug discovery, biomedicine, and visual learning.
Prof. Yanhui Gu is a permanent member of the State Key Laboratory of Microbial Technology.
Selected Publication Venues
Undergraduate Research
Undergraduates can begin with data curation and experiment reproduction, then progress to thesis projects, publications, and competitions. Our students have won First Prize in the Jiangsu Outstanding Undergraduate Thesis Awards, and a group-supervised project received a Silver Award in the provincial Challenge Cup competition.
Research Funding
NSFC support spans a Key Program subproject, a Major Research Plan project, a General Program grant, and a Young Scientists Fund grant. Industry collaborations connect algorithmic research with practical validation.
Key Program Subproject · 2021—2025
Major Research Plan Incubation Project · 2024—2026
General Program · 2027—2030
Young Scientists Fund (Category C) · 2027—2029
From everyday on-campus collaboration to dedicated research space in Changzhou, we provide stable work environments for different types of research.
01 / Mingli Building & Innovation Valley
02 / Changzhou Future Institute of Technology
Supporting large-model training, graph learning, scientific computing, and multimodal experiments, with resources at Mingli Building and Changzhou.
Expansion plan: two 8-GPU H200 servers, four 8-GPU RTX 5090 servers, and two 8-GPU L40 servers are being procured.
We value your initiative to learn and see problems through, whatever your background.
Deliver results and receive clear feedback and recognition.
Test computational methods against real scientific questions.
Connect with a research network spanning computer science, materials, chemistry, and the life sciences.
Skills can be developed. Reliability, initiative, and open communication are the foundations of lasting collaboration.
Be sincere and dependable, respect your collaborators, and explain complex questions clearly.
Keep making steady progress through disappointing results, paper revisions, and engineering uncertainty.
Identify problems, advance experiments proactively, and raise risks early.
PhD
Master’s
Undergraduates
We welcome students from computer science, mathematics, chemistry, materials science, biomedicine, and beyond. Interdisciplinary training matters more than disciplinary labels.
Welcome to KOMABA
Tell us about your interests, experience, and the questions you want to pursue.
We welcome backgrounds in computer science, mathematics, chemistry, materials science, and the life sciences.